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gD2.2: Project KPIs definition and measurement methods

gD2.2:Project KPIs definition and measurement methods

30 October 2012 2/59

ID & Title : gD2.2 Project KPIs definition and measurement methods

Version : V2.0 Number of pages : 59

Short Description

This deliverable defines the KPIs and measurement methods of the project.

Revision history

Version Date Modifications’ nature Author

V0.1 05/07/2012 Document initialisation ENEL Distribuzione

V0.2 22/08/2012 Corrections from partners, Executive Summary, Acronyms, References

ENEL Distribuzione

V0.3 04/09/2012 Modification to name of KPI GWP2.2_KPI_2, and new KPI proposal GWP2.2_KPI_8 related to use of standards. Other minor modifications.

ENEL Distribuzione

V1.0 10/09/2012 Minor changes ENEL Distribuzione

V1.1 28/09/2012 Editorial changes (characters styles) ENEL Distribuzione

V2.0 05/10/12 Update of ID page ENEL Distribuzione

Accessibility

Public Consortium + EC Restricted to a specific Group + EC Confidential + EC

If restricted, please specify here the group

Owner / Main responsible

Name (s) Function Company Visa

Lilia Consiglio Grid4EU Technical Director

ENEL Distribuzione

Lilia Consiglio

Author (s) / Contributor (s) : Company name (s)

Author: ENEL Distribuzione Contributors: CEZ, ERDF, IBERDROLA, RWE, VATTENFALL

Reviewer (s) : Company name (s)

Company Visa

CEZ, ENEL Distribuzione, ERDF,IBERDROLA, RWE, VATTENFALL

Review validated by Technical Committee on October 05

th 2012

Approver (s) : Company name (s)

Company Visa

CEZ, ENEL Distribuzione, ERDF, IBERDROLA, RWE, VATTENFALL

Approved by Steering Committee on October 15th 2012

Work Package ID: GWP 2 Task ID: GWP 2.2


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Executive Summary

As defined in the Description of Work, the scope of GWP2.2 is the Definition of the Key Performance Indicators of the Project, which will allow measuring the success of the Project in relation to its overall technical objectives. It should be noted that GRID4EU Project KPIs are those indicators that are common across at least two different DEMOs. The precise measurement methodologies and specificities will be DEMO specific. For this task, a common template was created for the definition of these Key Performance Indicators. This template is also used in the DEMO specific KPIs. The template has been organized into four main sections:

Basic KPI Information - General Project KPI Information (common to different DEMOs)

KPI Calculation Methodology – Methodology for calculating KPI (DEMO specific)

KPI Data Collection – Data required to collect for calculating indicator (DEMO specific)

KPI Baseline – Baseline for calculating KPI (DEMO specific)

Two types of KPIs have been defined; Technical and Social. Regarding the lack of economic KPIs, it was considered that at this stage of KPI definition, it is very difficult to foresee a measurable economic Key Performance Indicator. This will be considered later on if an economic translation of the technical benefits measured in the project future can be proposed, but at this stage of KPI definition, no economic indicator is defined. Furthermore, a reasonable economic indicator would be related to deployment activities where full cost-benefit analysis can be performed, and not only demonstration activities. The list of GRID4EU Project KPIs is provided below:

Grid4EU KPI Family KPI ID KPI TYPE KPI Description

Energy losses GWP2.2_KPI_1

Technical

The monitoring and in some cases minimization of energy losses through different solutions presented in DEMO projects.

Fault Awareness, Localization and Isolation Time

GWP2.2_KPI_2 Faster reaction time to grid failures and faults

Network Hosting Capacity

GWP2.2_KPI_3 Increased hosting capacity of RES in the MV and LV grid

Line voltage profiles GWP2.2_KPI_4 Power Quality improvements (in this case voltage quality)

Islanding GWP2.2_KPI_5 Voltage deviation during islanding

Use of standards GWP2.2_KPI_8 Actual use of standards in different DEMOs with respect to initially described use.

Recruitment GWP2.2_KPI_6

Social

Fraction of consumers and producers accepting participation in the different demos

Active participation GWP2.2_KPI_7 Fraction of consumers/producers actively taking part in the different demos


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Table of contents

EXECUTIVE SUMMARY ........................................................................................ 3

TABLE OF CONTENTS ......................................................................................... 4

LIST OF FIGURES & TABLES .............................................................................. 5

1 INTRODUCTION ................................................................................................. 6

1.1 Scope of the Document ................................................................................ 6

1.1 Structure of the Document ........................................................................... 6

1.2 Notations, abbreviations and acronyms ....................................................... 6

2 SUMMARY LIST OF GRID4EU PROJECT KPIS ............................................... 7

3 RELATIONSHIP WITH GRID4EU USE CASES ............................................... 12

4 DETAILS OF GRID4EU PROJECT KPIS ......................................................... 13

4.1 Technical KPIs ........................................................................................... 13

4.1.1 Energy Losses ................................................................................. 13

4.1.2 Fault Awareness, Localization and Isolation Times .......................... 20

4.1.3 Network Hosting Capacity ................................................................ 26

4.1.4 Line Voltage Profiles ........................................................................ 32

4.1.5 Islanding ........................................................................................... 41

4.1.6 Use of standards .............................................................................. 46

4.2 Social KPIs ................................................................................................. 51

4.2.1 Recruitment ...................................................................................... 51

4.2.2 Active Participation ........................................................................... 55

5 REFERENCES .................................................................................................. 59

5.1 Project Documents ..................................................................................... 59

5.2 External documents .................................................................................... 59


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List of figures & tables

Figure 1: GRID4EU Project KPIs ................................................................................................................. 7

Figure 2: Precise Formulas for GRID4EU Project KPIs ................................................................. 10

Figure 3: Mapping GRID4EU Project KPIs / applicable DEMO .................................................. 11

Figure 4: Matrix GRID4EU Project KPI --> Use Cases .................................................................. 12


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1 Introduction

1.1 Scope of the Document The aim of this document is to define a first set of GRID4EU Project KPIs. GRID4EU Project KPIs are

defined as those indicators that are common across different DEMOs. This means that different

demonstration projects providing different solutions will use these same indicators to measure specific

benefits brought about by tested solutions in the different demonstration projects. The methodology for

measuring these indicators will vary from DEMO to DEMO, but the indicator definition could be common

to the different demos. The deliverable is divided into four simple chapters.

1.1 Structure of the Document

Chapter 2 provides a summary of the list of GRID4EU Project KPIs, chapter 3 describes the relationship

these KPIs have with defined Use Cases in GWP2.1, while chapter 4 provides the detailed calculation

methodologies per DEMO of all the defined GRID4EU Project KPIs.

1.2 Notations, abbreviations and acronyms

DER Distributed Energy Resources

HC Hosting Capacity

IED Intelligent Electronic Devices

KPI Key performance indicator

LV Low Voltage

MV Medium Voltage

SCADA Supervisory Control and Data Acquisition


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2 Summary List of GRID4EU Project KPIs

The seven proposed KPIs are detailed below. Five indicators will monitor technical aspects of the

DEMOs, while two will be “softer” indicators, measuring social aspects of the different DEMOs.

Related to missing a definition of a GRID4EU economic indicators, it was considered that at this stage of

KPI definition, it is very difficult to foresee a measurable economic Key Performance Indicator. This will

be considered later on if an economic translation of the technical benefits measured in the project future

can be proposed, but at this stage of KPI definition, no economic indicator is defined. Furthermore, a

reasonable economic indicator would be related to deployment activities where full cost-benefit analysis

can be performed, and not only demonstration activities.

Grid4EU KPI Family

KPI ID KPI

TYPE KPI Description

Energy losses GWP2.2_KPI_1

Technical


Fault Awareness, Localization and Isolation Time

GWP2.2_KPI_2 Faster reaction time to grid failures and faults


GWP2.2_KPI_3 Increased hosting capacity of RES in the MV and LV grid

Line voltage profiles GWP2.2_KPI_4 Power Quality improvements (in this case voltage quality)

Islanding GWP2.2_KPI_5 Voltage deviation during islanding

Use of standards GWP2.2_KPI_8 Actual use of standards in different DEMOs with respect to initially declared use

Recruitment GWP2.2_KPI_6 Social

Fraction of consumers and producers accepting participation in the different demos

Active participation GWP2.2_KPI_7 Fraction of consumers/producers actively taking part in the different demos

Figure 1: GRID4EU Project KPIs


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Further details of measurement methodology of the different KPIs.

KPI Family

KPI Definition/Formulae

Energy losses (GWP2.2_KPI_1)

= Percentage reduction in energy losses (specific to each DEMO)

= Baseline Energy losses (kWh)

= Energy losses with Smart Grid solutions (kWh)

Fault Awareness, Localization and Isolation Time (GWP2.2_KPI_2)

= Percentage reduction in time required for fault awareness, localization and isolation

= Average time required for fault awareness, localization and isolation with Smart Grid

Solutions

= Average time required for fault awareness, localization and isolation in Baseline

situation


(GWP2.2_KPI_3)

= fraction of additional DER that can be connected.

= Hosting Capacity of DER with Smart Grid solutions (MW). This hosting capacity should measure the additional DER that can be connected to the grid above that already connected (Pg).

= Hosting Capacity of DER in Baseline situation (MW). This hosting capacity should measure the additional DER that can be connected to the grid above that already connected (Pg).


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Line voltage profiles (GWP2.2_KPI_4)

= evolution of the line voltage profiles, specific per DEMO.

= line voltage profiles with SG solutions (precise definition of VSG is specific to every DEMO).

= line voltage profiles in baseline situation with SG solutions (precise definition of Vbaseline is specific to every DEMO).

Islanding (GWP2.2_KPI_5)

√∑

= voltage deviation during islanding

= measurement of the voltage for each time step t

= distribution transformer/ MV feeder voltage set point

Use of standards

Pg

Pg-Baseline

Pg-

HCBaseline

HCSG

ΔHC

P


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(GWP2.2_KPI_8)

Recruitment (GWP2.2_KPI_6)

= fraction of producers/consumers who agree to be part of the demo;

= number of producers/consumers involved in the demo (for instance hosting

equipments);

= number of producers/consumers contacted to be part of the demo.

Active Participation (GWP2.2_KPI_7)

Where:

- = the ratio of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO)..

- = the number of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO).

- , = the number of customers/producers that accepted participating in demo.

Figure 2: Precise Formulas for GRID4EU Project KPIs


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Related to the DEMOs for which these KPIs apply, this is detailed in the figure below:

RWE VATTENFALL IBERDROLA ENEL CEZ ERDF

Energy losses (GWP2.2_KPI_1)

Fault Awareness, Localization and Isolation Time (GWP2.2_KPI_2)

Network Hosting Capacity (GWP2.2_KPI_3)

Line voltage profiles (GWP2.2_KPI_4)

Islanding metric (GWP2.2_KPI_5)

Use of standards (GWP2.2_KPI_8)

Recruitment (GWP2.2_KPI_6)

Active Participation (GWP2.2_KPI_7)

Figure 3: Mapping GRID4EU Project KPIs / applicable DEMO


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3 Relationship with GRID4EU Use Cases

The table below summarizes the close relationship with the GRID4EU Use Cases and the defined GRID4EU Project Key Performance Indicators.

Figure 4: Matrix GRID4EU Project KPI --> Use Cases

From the table it can be seen that the “Energy Losses” is not addressed by any Use Case. The main reason for this is that “Energy Losses” is not the target of any GRID4EU Demo, but a parameter that will be monitored and measured in many of the different demonstration sites. For additional details on the Use Cases of the different DEMOs please refer to GWP2.1 results (gD2.1).

VATTENFAL

LUC 1

Failure

Management

in MV

networks

UC 2

Load

Control in

MV

networks

UC 1

Outage

Detection in

the LV

Network

UC 1

Automatic

Failure

Detection

UC 2

Automatic

Grid

Recovery

UC 3

Secondary

Substation

Node (SSN)

UC 4

Customer

Engagement

UC 1

Voltage

Control on

MV Grids

UC 2

Anti-

islanding

Protection

on MV Grids

UC 1

LV Grid

Automation

of Failure

Management

UC 2

MV Grid

Automation

of Failure

Management

UC 3

Management

of Islanding

operation

UC 1

Islanding

UC 2

Reduction of

power

demand

UC 3

Manage maximised

PV production on

LV network

regarding

constraints and

flexibility

UC 4

Encourage resident

to adopt smarter

habits according to

network state

Energy losses

(GWP2.2_KPI_1)

Fault Awareness,

Localization and

Isolation Time

(GWP2.2_KPI_2)

Network Hosting

Capacity

(GWP2.2_KPI_3)

Line voltage profiles

(GWP2.2_KPI_4)

Islanding metric

(GWP2.2_KPI_5)

Use of standards

(GWP2.2_KPI_8)

Recruitment

(GWP2.2_KPI_6)

Active Participation

(GWP2.2_KPI_7)

RWE IBERDROLA ENEL CEZ

ERDF


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4 Details of GRID4EU Project KPIs

This chapter describes in detail the list of proposed GRID4EU Project KPIs, with the detailed

measurement methodologies and precise formulas applicable to each KPI. As described in Chapter 1,

these are indicators that are common to different DEMOs, even though the specifics, measurement

methodologies, baseline conditions, and precise data required collecting will be strictly related to the

tested solutions, and will therefore vary from DEMO to DEMO.

4.1 Technical KPIs

4.1.1 Energy Losses

BASIC KPI INFORMATION

KPI Name Percentage reduction in Energy Losses KPI ID GWP2.2_KPI_1

Strategic Objective


DEMO where KPI applies

RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner

RWE – IBERDROLA – Jesus Varela ENEL – Enel Manager (tbd) CEZ – Milan Jelínek ERDF – Christophe Lebosse

KPI Description

The current evolution of the electricity grid is driven by environmental considerations and the need to reduce energy consumption. Determining the contribution of new technologies to global energy use is complex and difficult and must be evaluated in the pilot project. In this perspective, the Key Performance Indicator GWP2.2_KPI_1 assesses the energy losses due to different factors in the different DEMOs. Each DEMO will evaluate these losses differently, with the ERDF DEMO performing a measurement of losses due to load shifting (focusing essentially on the use of residential batteries), while the IBERDROLA DEMO will monitor losses at the secondary substation.

KPI Formula

Where:

,%lossesE Percentage change in energy losses (specific to each DEMO) or Percentage of


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energy losses (ERDF)

losses,SG

E Energy losses with Smart Grid solutions (kWh) or Energy flowing out of

batteries (kWh)

losses,Baseline

E Baseline Energy losses (kWh) or Energy flowing into batteries (kWh)

Unit of measurement

% percentage basis

Expectations

RWE – IBERDROLA – ENEL – Constant/Possible increase limited to +x% ČEZ – Reduction in losses by 10% (losses reduction should be 10%). ERDF – Limited energy losses

Reporting Period

RWE - IBERDROLA – Once a year ENEL - Once a year CEZ - Once a year ERDF - Once a year

Relevant Standards

-

Connection / Link with other relevant defined KPIs

-

Reporting Audience and Access Rights

PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS

OTHER (please specify)

Source data are not to be published and are confidential to each network operator


KPI CALCULATION METHODOLOGY DEMO RWE

KPI Step Methodology ID

[KPI ID #] Step Responsible

GWP2.2_KPI_1_RWE 1 Identification of reference case (KPI baseline) today’s grid and load/generation situation

GWP2.2_KPI_1_RWE 2 Set up of grid models for simulations


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(conventional vs. agent system)

GWP2.2_KPI_1_RWE 3 Definition and application of future load/generation scenario

GWP2.2_KPI_1_RWE 4

Consideration of network losses for both ways of reinforcement and different future scenarios by assessment of simulation results

DEMO IBERDROLA



GWP2.2_KPI_1_IBERDROLA 1

Save information before installation of automated nodes.

IBERDROLA


Save information after installation of automated nodes.

IBERDROLA


Losses will be compared with the MV information collected at Secondary Substation level with information collected at LV line feeders to obtain the losses at SS. The result will be analyzed in order to know if there are aspects that may be improved or not, comparing SS equipments.

Where:

- - , Losses measured. - - , numbers of nodes with losses

measured. - - , total automated nodes.

IBERDROLA

DEMO ENEL KPI Step

Methodology ID [KPI ID #]

Step Responsible

GWP2.2_KPI_1_ENEL 1 Energy grid losses calculation using simulated Load Flow analysis using RSE algorithm

Enel Distribuzione

GWP2.2_KPI_1_ENEL 2 Energy grid losses calculation using DMS, with RSE algorithm loaded in RTDS.

Enel Distribuzione

GWP2.2_KPI_1_ENEL 3

DEMO CEZ KPI Step


Step Responsible

GWP2.2_KPI_1_ČEZ 1

The MV level of the grid will be upgraded by addition of the CHP Unit, transformation of the grid from 10 – 35 kV, and full automation of the MV level of the grid through the

ČEZ Distribuce


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regional SCADA and automation equipment of the grid to get optimal balance among the outlet feeders

GWP2.2_KPI_1_ČEZ 2 The instalation of the remote controlled meter devices on the transformers

ČEZ Distribuce

GWP2.2_KPI_1_ČEZ 3 Losses evaluation ČEZ Distribuce

DEMO ERDF


[KPI ID #]

Step Responsible

GWP2.2_KPI_1_ERDF 1 Description of the study area and determination of the considered batteries (community, residential)

ERDF – EDF R&D

GWP2.2_KPI_1_ERDF 2

Using the load curves provided by the installed meters and sub-meters,

calculation of

∑

ERDF – EDF R&D

GWP2.2_KPI_1_ERDF 3

Using the load curves provided by the installed meters and sub-meters,

calculation of

∑

ERDF – EDF R&D

GWP2.2_KPI_1_ERDF 4 Determination of ERDF – EDF R&D

KPI DATA COLLECTION DEMO RWE

Data Data ID Methodology

for data collection

Source/Tools/Instruments for Data

collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

DEMO IBERDROLA


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

Total automated

nodes

N - DCS DCS Every 3 moths

6 months IBERDROLA

Numbers of nodes with

losses measu

red.

- - - - - -

DEMO ENEL


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for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

- - tbd tbd tbd tbd tbd tbd

DEMO CEZ


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

I [A], U [V]

Baseline data

Measurement

Measurement at summative energy meter, supply – measurement at terminal feeder

Database of Superior SCADA

Continuously

4 hours ČEZ Distribuce

I [A], U [V]

Newly measure

d data

Measurement

Measurement at summative energy meter, supply – measurement at feeder terminal – commercial generation measurement


Continuously

4 hours ČEZ Distribuce

DEMO ERDF

Data Data ID Methodology for data collection

Source/Tools/Instruments for Data collection

Location of Data collection

Frequency of data collection

Minimum monitoring period

Data collection responsible

Battery charge/discharge curves

Battery

curves

Manual intervention or automatic metering

Smart meters and sub-meters

In the meter close to the storage unit

As soon as batteries are used


ERDF – EDF R&D

Power flow into a dedicated battery






ERDF – EDF R&D

Power flowing out of dedicated battery






ERDF – EDF R&D

KPI BASELINE DEMO RWE

Source of Baseline Condition

LITERATURE VALUES

COMPANY HISTORICAL VALUES

VALUES MEASURED AT START OF PROJECT

Details of Baseline

Reference case to be defined for different future scenarios regarding load and generation (RES) for Reken network for conventional reinforcement. Starting with today’s values for network losses for the given grid


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Responsible (Name, Company) for Baseline

DEMO IBERDROLA


LITERATURE VALUES



Details of Baseline


IBERDROLA

DEMO ENEL


LITERATURE VALUES



Details of Baseline

Using Enel’s DMS, a load flow analysis will be performed at the start of the project to evaluate the energy grid losses without Smart Grid solutions. Similarly, energy grid losses will be recalculated using the algorithm developed by RSE for power flow analysis. For this the network topologies of the final network that will be in place will be required.


tbd [Enel]

DEMO CEZ


LITERATURE VALUES



Details of Baseline

The current grid losses baseline represents the difference between the amount of generated electricity and amount of electricity delivered to customers i.e. consumed electricity measured in kWh at the MV/LV outlets.


Milan Jelínek (Smart Region project manager), ČEZ Distribuce

DEMO ERDF


LITERATURE VALUES



Details of Baseline

The baseline is the energy flowing into a dedicated battery or a fleet of batteries. The charge/discharge plans will be available thanks to installed smart meters (for the community batteries) or sub-meters (for the residential batteries).


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GENERAL COMMENTS

General Comment area to include any information that can be useful that has not been detailed above


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4.1.2 Fault Awareness, Localization and Isolation Times


KPI Name Percentage reduction in time required for fault awareness, localization and isolation

KPI ID GWP2.2_KPI_2

Strategic Objective

Faster reaction time to grid failures and faults


RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner

RWE –

VATTENFALL – Ulf Ysberg IBERDROLA – Jesus Varela ČEZ Distribuce - Milan Jelínek

KPI Description

With the installation of automation solutions in different demos (both LV and MV) the aim is that fault awareness, localization and isolation times will be reduced. This KPI has the aim of verifying that Smart Grid solutions do decrease these times, and also provide an indication of the value of this reduction (if a reduction in these times is observed).

KPI Formula

Where:

= Percentage reduction in time required for fault awareness, localization and

isolation

= Average time required for fault awareness, localization and isolation with Smart

Grid Solutions

= Average time required for fault awareness, localization and isolation in

Baseline situation And Specifically:

isolationfaultonlocalizatifaultawarenessfaultfault TTTT

N

tttT

SGN

i

i

isolationfault

i

onlocalizatifault

i

awarenessfault

fault

1

i

awarenessfaultt Time required for awareness of grid fault i


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i

onlocalizatifaultt Time required for localization of grid fault i

i

isolationfaultt Time required for isolation of grid fault i

N Number of grid faults (with Smart Grid solutions)

Unit of measurement

% percentage basis

Expectations

RWE – VATTENFALL - Should be lower than the time employed by a manual operation in similar situations. IBERDROLA – Should be lower than the time employed by a manual operation in similar situations. ČEZ Distribuce:

LV level: Percentage reduction in time required for fault awareness, localization and isolation should be 80%

MV level: Percentage reduction in time required for fault awareness, localization and isolation should be 60%

Reporting Period

RWE – VATTENFALL - Once a year IBERDROLA – Once a year ČEZ Distribuce - Once a year

Relevant Standards

None


Demo 2 KPI#1: “Detected Failures” (Vattenfall)


PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS







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GWP2.2_KPI_2_RWE 1 Step by step methodology on how to calculate defined KPI

Person and Company responsible for specific step in KPI calculation methodology

GWP2.2_KPI_2_RWE 2 GWP2.2_KPI_2_RWE 3

DEMO VATTENFALL



GWP2.2_KPI_2_VTF 1 Timestamp when the failure is identifIed

Vattenfall

GWP2.2_KPI_2_VTF 2 Timestamp when the power is back Vattenfall

GWP2.2_KPI_2_VTF 3 Calculate the quotient in percent with the average duration time for

manual handling as the baseline Vattenfall

DEMO IBERDROLA



GWP2.2_KPI_2_IBERDROLA 1 Find similar failures solved in manual operation. IBERDROLA


The complete awareness, localization and isolation time will be given by the following formula: Where:

- , Global resolution time from the moment where an outage is known till the moment in which the service is re-established.

- , Time from “beginning time” to identification of the exact problem.

- , Time from the moment in which they are informed till the moment in which they arrive to Secondary Substation or affected field zone.

- , Time from the moment in which field team arrive to the site till they decide and command the next operations.

- , Time from the end of inspection till the arrival of all means to site.

IBERDROLA


Compare resolution times between automatic and manual operation.

IBERDROLA

DEMO CEZ KPI Step


Step Responsible

GWP2.2_KPI_2_ČEZ 1 implementation of the intended technical equipment both at the LV and MV level

GWP2.2_KPI_2_ČEZ 2 setting of the communication means of the substation

GWP2.2_KPI_2_ČEZ 3 arrangement of the current


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protection values



for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

DEMO VATTENFALL

Data Data ID

Methodology for data collection






Time to be

aware of a LV

failure

T-1 By use of timestamp

Scada system RTU/Scada Every 3 months

6 months Vattenfall

Average time for manual

fault identific

ation

T-2

By estimated the average time which will serve as the baseline for calculations

Historical values Present systems

Every 3 months

6 months Vattenfall

DEMO IBERDROLA

Data Data

ID

Methodology for data

collection


collection

Location of Data

collection

Frequency of data

collection


Data collection

responsible

Time from “beginning

time” to identificatio

n of the exact

problem

The “beginning time” is defined as the time when the alarm appears in

DCS. And the identification of the

problem is considered when we have enough information to

send the brigade.

DCS DCS Every 3 moths 6 months IBERDROLA

Time from the moment

in which they are

informed till the moment

in which they arrive

to Secondary Substation or affected field zone.


Time from the moment

in which field team

arrive to the site till they decide and command the next

operation.


Time from the end of inspection



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till the arrival of all

means to site.

DEMO CEZ


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

t[min] Baseline Initiative time, Impulse time

LV- beginning of customer reaction, finishing by work gang manipulation , MV – impulse triggered by protection IED (overcurrent protection device) into Superior SCADA , finishing by work gang manipulation

Database of

Superior SCADA

Continuously

Year ČEZ

Distribuce

t[min] SG Impulse time

LV – initial circuit breakers impulse, finishing executed by remote manipulations provided by operator of regional SCADA,

MV – impulse triggered by protection IED (overcurrent protection device) into Superior SCADA, finishing by remote operation launched by operator of regional SCADA


Continuously

one month ČEZ Distribuce



LITERATURE VALUES



Details of Baseline



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DEMO VATTENFALL


LITERATURE VALUES



Details of Baseline

No existing baseline. With influence of KPI#1 in Demo 2 a baseline will be used for all calculations


Vattenfall

DEMO IBERDROLA


LITERATURE VALUES



Details of Baseline

The complete resolution of the outage will be declared when all clients affected has again full service. At the second phase of the project, when new LV information systems will be installed the time may begin with a LV alarm. The difficulty is to establish the difference between manual and automatic operation because it is impossible to have twice the same outage. We will compare with similar incidences.


IBERDROLA

DEMO CEZ


LITERATURE VALUES



Details of Baseline

At present there are any automation components at LV level without any automatic warning mechanism. Grid failure at LV level has to be announced by customers. The failure at the MV could be identified only at four outlets. There are any automation components at the lower part of the MV grid. The baseline is represented by current fault localization and isolation values.



GENERAL COMMENTS



30 October 2012 26/59

4.1.3 Network Hosting Capacity


KPI Name Percentage increase in network hosting capacity of DER

KPI ID GWP2.2_KPI_3

Strategic Objective Increased RES and DER integration in distribution grids


RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner

RWE – ENEL –Enel Manager (tbd) ERDF – Christophe Lebosse

KPI Description

This KPI will measure the potential increase in hosting capacity for distributed energy resources with Smart Grid solutions compared to the baseline situation where no “smart” actions are performed on the network. The indicator will give a statement about the additional RES that can be installed in the network thanks to Smart Grid solutions without the need for conventional reinforcements (i.e. new grid lines).

KPI Formula

%HC

HCHCHC

Baseline

BaselineSG

%100


30 October 2012 27/59

SG

HC Hosting Capacity of DER with Smart Grid solutions (MW). This hosting

capacity should measure the additional DER that can be connected to the grid above that already connected (Pg).

Baseline

HC Hosting Capacity of DER in Baseline situation (MW). This hosting

capacity should measure the additional DER that can be connected to the grid above that already connected (Pg). Note:

Positive value: HC gain

Negative value: HC loss

Unit of measurement

% percentage base

Expectations

RWE – ENEL – Increase in network hosting capacity

Pg

Pg-Baseline

Pg-

HCBaseline

HCSG

ΔHC

P


30 October 2012 28/59

ERDF – Increase of solar power generation

Reporting Period

RWE – ENEL – Once a year ERDF –Average value on a monthly basis

Relevant Standards EN 50160


-


PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS


To whom will this indicator be reported and access rights. Also indicate here specific access restrictions (if any).


Indicate specifics of Reporting Audience and Access Rights if OTHER (please specify) was marked above.


KPI Step Methodology ID [KPI ID #]

Step Responsible

GWP2.2_KPI_3_RWE 1 GWP2.2_KPI_3_RWE 2 GWP2.2_KPI_3_RWE 3

DEMO ENEL

KPI Step Methodology ID [KPI ID #]

Step Responsible

GWP2.2_KPI_3_ENEL 1

Set the appropriate calculation conditions:

- Load condition: minimum load (identical to the baseline condition)

- Distributed Generation (DG) situation: DG enabled on the entire feeder (identical condition to the baseline condition)

- MV busbar set-point: rated voltage (identical condition to the baseline calculation)

- Regulation algorithm: enabled. To simulate the algorithms, all generators must be set to 0.9 inductive power factor (this is a conventional value1)

- Calculation tool: DMS

Gianluca Sapienza, Enel

GWP2.2_KPI_3_ENEL 2 Find the “highest voltage node” HVN Gianluca Sapienza, Enel

GWP2.2_KPI_3_ENEL 3 Install a generator, in the HVN, with no generated active power and 0.9 inductive power factor.


GWP2.2_KPI_3_ENEL 4 Increase the generator power until the voltage, in any node, reaches its maximum


1 Due to these conventional values, the KPI does not evaluate the real regulation algorithm effectiveness


30 October 2012 29/59

admissible value, or the current in any branch reaches its maximum admissible value. The corresponding power is the “Smart Grid hosting capacity HCSG” (in kW)

DEMO ERDF KPI Step


Step Responsible

GWP2.2_KPI_3_ERDF 1 On D-day, determination of the maximum value of the

solar power generated over the pilot area: ERDF- EDF R&D

GWP2.2_KPI_3_ERDF 2

Determination of the total capacity of triggered flexibilities at the peak production time:

Note: batteries and water boilers will be metered ( can be measured or equivalent to the NEM output)

ERDF- EDF R&D

GWP2.2_KPI_3_ERDF 3 Deduction of ERDF- EDF R&D

GWP2.2_KPI_3_ERDF 4

Graphically, this is represented below:

= → total capacity of triggered

flexibilities (water boiler, batteries) at the peak production time.



for data collection

Source/Tools/Instruments

for Data collection


Frequency of data

collection


Data collection responsibl

e

DEMO ENEL


for data collection

Source/Tools/Instruments

for Data collection


Frequency of data

collection


Data collection responsibl

e Highes

t Voltage Node

-

Identify highest voltage node (HVN)

DMS Highest voltage node on MV feeder

tbd tbd tbd


30 October 2012 30/59

DEMO ERDF







PV load

curves and

NEM reques

ts

PV curves

and NEM

requests

SI LINKY and SI ERDF

Smart meters and Nice Grid software

Smart meters and NEM

Daily in summer, monthly average

ERDF – EDF R&D

PV load curves and NEM requests



LITERATURE VALUES


VALUES MEASURED AT START OF

PROJECT

Details of Baseline

Given grid as of today: Elaboration of potential connected power of RES until thermal limits of lines / assets is reached or voltage band violated. Location and distribution of RES to be agreed on (today’s data available)


DEMO ENEL


LITERATURE VALUES



PROJECT

Details of Baseline

Calculation conditions:

1. Load condition: minimum load

2. Distributed Generation (DG) situation: DG enabled on the

entire feeder

3. MV busbar set-point: rated voltage

4. Regulation algorithm: disabled

5. Calculation tool: DMS

Calculation steps:

1. Individuate the “highest voltage node” (HVN)

2. Install a generator, in the HVN, with no generated active

power and unitary power factor

3. Increase the generator power until the voltage, in any node,


30 October 2012 31/59

reaches its maximum admissible value, or the current in

any branch reaches its maximum admissible value. The

corresponding power is the “baseline hosting capacity

HCBaseline” (in kW)


Gianluca Sapienza (Enel)

DEMO ERDF


LITERATURE VALUES



PROJECT

Details of Baseline

The baseline will be deduced from the daily maximum value of the measured solar

power generation. Once this value determined, can be calculated in two

different ways: either we consider as the flexibilities effectively triggered

when the solar generation reaches its maximum (meters on water boilers and

batteries), or we consider as the demand response request calculated by the

Network Energy Manager for the corresponding time step. Responsible (Name, Company) for Baseline

GENERAL COMMENTS



30 October 2012 32/59

4.1.4 Line Voltage Profiles


KPI Name Percentage improvement in line voltage profiles fulfilling grid nominal voltage requirements, as defined in EN 50160 standard

KPI ID GWP2.2_KPI_4

Strategic Objective

Power Quality improvements (in this case voltage quality)


RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner

ENEL – Enel Manager (tbd) CEZ – Milan Jelínek ERDF – Christophe Lebossé

KPI Description

With an increasing presence of DER in the LV network (CHP in the case of CEZ DEMO, PV in the case of ERDF and ENEL), line voltage profiles will vary not only because of the presence of different loads along the network, but also the introduction of variable generation. This phenomenon must be clearly monitored and it must be ensured that desired voltage levels are kept within the defined standard limits, as defined in the EN 50160 standard. Within each DEMO, this KPI will be monitored in slightly different ways, which is further detailed further below. For example, in the case of the CEZ demo, the number of voltage line violations will be measured, while in the case of the ERDF DEMO, it is not expected that voltage line violations occur, so an assessment of voltage deviation will be performed (how much "dispersion" exists from the set voltage average value – which will be close to 230V) between a baseline (without flexibilities) and the future Nice Grid situation (with flexibilities). Distribution of voltage line measurements, violations occur at ± 10% of Voltage reference:

Time measurement of voltage line violations:

Vlim,max

(+10%)

Vlim,min (-

10%)


30 October 2012 33/59

KPI Formula

Regarding the precise definition of what is meant by Vbaseline and VSG, each specific DEMO will define these values.

Specifically, the precise definitions per DEMO are:

CEZ DEMO

V(t)

t

Vref

tbaseline,1

tref

tbaseline,2

tbaseline,3

tbaseline,4

tbaseline,5

tbaseline,5

tbaseline,6

tSG,1

Vlim,max

Vlim,min

Vbaseline

(t)

VSG

(t)

ΔVmax


30 October 2012 34/59

Related to reduction of percentage of measured voltage samples fulfilling the ± 10% voltage limits:

Where:

,%itlim

U Percentage improvement in measured voltage samples fulfilling the

± 10% voltage limits, as defined in EN 50160 standard

,%SGitlim

U Percentage of measured voltage samples fulfilling the ± 10%

voltage limits condition according to EN 50160 standard (with Smart Grid solutions)

,%Baselineitlim

U Percentage of measured voltage samples fulfilling the ± 10%

voltage limits condition according to EN 50160 standard (Baseline situation)

Related to total time for which measured voltages are outside ± 10% voltage limits:

Where: = Reduction in time for which measured voltage samples are outside the ± 10% voltage limits, as defined in EN 50160 standard

= Percentage of time for which measured voltage samples are out of the ± 10% voltage limits, as defined in EN 50160 standard (with Smart Grid solutions) = Percentage of time for which measured voltage samples are out of the ± 10% voltage limits, as defined in EN 50160 standard (Baseline situation)

Where:

∑


30 October 2012 35/59

∑

i,SG

t Time period for which voltage measurement i is outside ± 10% voltage

limits, as defined in EN 50160 standard (with Smart Grid solutions)

i,baseline

t Time period for which voltage measurement i is outside ± 10%

voltage limits, as defined in EN 50160 standard (baseline situation)

ref

t Total reference period for which measurements are taken (view graph)

ENEL DEMO In the Enel DEMO, voltage line profiles will be monitored through two values that are directly retrieved from power quality instrumentation; Vmax and V95% : Vmax = The maximum reached line voltage during defined monitoring period (i.e. 100 days) V95% = The 95% percentage voltage value during monitoring period (i.e. 100 days), the value for which 95% of all voltage line measurements fall below. In the case that V95% is below voltage limits (+10% Vref), this would comply with the EN50160 standard, as the standard indicates that 95% of all voltage samples must be within samples. If however V95% is above +10% Vref, the EN50160 standard would be violated. The precise indicators related to the percentage improvement in voltage line violations would therefore be defined as:

%100max

maxmax

%max

Baseline

SGBaseline

V

VVVV

Positive value: Maximum measured line voltage has been reduced

Negative value: Maximum measured line voltage has been increased

%100%95

%95%95

%95

Baseline

SGBaseline

V

VVVV

Positive value: 95% line voltage has been reduced

Negative value: 95% line voltage has increased

ERDF DEMO


30 October 2012 36/59

= evolution of the average voltage deviation between the baseline (without

flexibilities) and the Nice Grid solution (involving triggered flexibilities) = average deviation of the Nice Grid voltage (with flexibilities); = average deviation of the baseline voltage (without flexibilities).

Half-hourly measurements will be made during the following time period: 12:00 PM – 15:00

PM. Six instrumented electrical nodes are considered: { } { }.

Average voltage deviation from the set point with triggered flexibilities:

{ } { } = √∑

Average voltage deviation from the set point without triggered flexibilities:

{ } { } = √∑

Unit of measurement

% percentage basis

Expectations

ENEL – Full compliance with EN 50160 standard CEZ – At least in line with the EN 50160 standard ERDF – Reduction of voltage deviations

Reporting Period

ENEL - tbd CEZ – Four times a year (quarterly) ERDF – On a daily basis (when flexibilities are used)

Relevant Standards

EN 50160

Connection -


30 October 2012 37/59

/ Link with other relevant defined KPIs


PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS


Source of the data is not to be published


KPI CALCULATION METHODOLOGY DEMO ENEL



GWP2.2_KPI_4_ENEL 1 Install WALLY power quality monitoring device in most significant points of MV lines

tbd

GWP2.2_KPI_4_ENEL 2 Retrieve Vmax and V95% from WALLY power quality monitoring device

tbd

DEMO CEZ



GWP2.2_KPI_4_CEZ 1 The installation of the measurement at selected points

ČDS

GWP2.2_KPI_4_CEZ 2 Continuous measurement according to EN 50160 standard

ČEZ Distribuce

GWP2.2_KPI_4_CEZ 3 The reporting four times a year ČEZ Distribuce

DEMO ERDF



GWP2.2_KPI_4_ERDF 1

- Measurement of the voltage values at each considered electrical node i and for each time step t:

{ } { }

ERDF- EDF R&D

GWP2.2_KPI_4_ERDF 2

- Measurement of the voltage values at each considered electrical node i and for each time step t:

{ } { }

ERDF- EDF R&D

GWP2.2_KPI_4_ERDF 3 For each distribution feeder i, check

out. ERDF- EDF R&D

GWP2.2_KPI_4_ERDF 4 Deduction of ERDF- EDF R&D

KPI DATA COLLECTION


30 October 2012 38/59

DEMO ENEL


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

Maximum Line voltage within

defined monitoring period

Vmax

Retrieval of data in conformance with CEI EN 50160 standard

Wally A – Network Analyzer monitoring power quality with certification in conformance with EN61000-4-30 Class A norms

Most critical points on MV lines.

tbd

100 days – still to

be defined

tbd

95% percentil

e of all measure

d line voltages

V95%

Retrieval of data in conformance with CEI EN 50160 standard

Wally A – Network Analyzer monitoring power quality with certification in conformance with EN61000-4-30 Class A norms

Most critical points on MV lines.

tbd

100 days – still to

be defined

tbd

DEMO CEZ



collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

Value – U (voltage) Baseline

Requirements of EN 50160 standard

EN 50160 standard

ČEZ

Distribuce

Value – U (voltage) SG

Measurements

Quality measurement device according to EN 50160 standard

DAM (measured data storage device)

Continuously

Two weeks ČEZ Distribuce

DEMO ERDF


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

Voltage

values

Voltage values

Installed multimeters

Installed multimeters

Six electrical nodes

Several times a month from

12:00 pm to 15:00

pm

ERDF- EDF R&D

Voltage values

KPI BASELINE DEMO ENEL


LITERATURE VALUES




30 October 2012 39/59

Details of Baseline

Using appropriate Power Quality instruments (i.e. Wally A) , the voltage profiles will be measured in a defined monitoring period. The two measures to monitor are Vmax, BASELINE and V95%, BASELINE. Vmax, BASELINE = The maximum reached line voltage during defined monitoring period (i.e. 100 days) before SG devices are installed on section of distribution grid where DEMO is performed. V95%, BASELINE = The 95% percentage voltage value during monitoring period (i.e. 100 days), the value for which 95% of all voltage line measurements fall below. This value will be taken before SG devices are installed on section of distribution grid where DEMO is performed. It is important to note that the baseline values will be taken once the appropriate works on the feeders/lines of the section of distribution network where DEMO is performed have been finished.


tbd

DEMO CEZ


LITERATURE VALUES



Details of Baseline

95% of the conducted measurements have to be within limit set up by the EN 50160 standard. The current measured value in the distribution system is 95% and it will be improved by the automation.


DEMO ERDF


LITERATURE VALUES



Details of Baseline

Flexibilities in the Nice Grid pilot project won’t be triggered permanently. Since no electrical constraints are expected, we will be able to compare two consecutive days (or two days with similar weather conditions): one with Smart Grid solutions, the other without.


GENERAL COMMENTS


30 October 2012 40/59



30 October 2012 41/59

4.1.5 Islanding


KPI Name Voltage deviation during islanding KPI ID GWP2.2_KPI_5

Strategic Objective

Validation of the islanding success


RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner CEZ – Milan Jelínek ERDF – Christophe Lebossé

KPI Description

CEZ: In case that the island operation is activated, CHP unit represents the sole electric power source. So with disconnection from the electric grid the network short-circuit of the MV decreases. The short-circuit output power and short-circuit parametres are given by the character of CHP unit. The operation of the island should guarantee quality of power supply for customers – which means that voltage violation should follow standards given by EN 50160. In this way this KPI measures the number of magnitude line voltage violations and/or the time for which the voltage goes out of the + 10%/-15% voltage limits, as defined in EN 50160 standard. Distribution of voltage line measurements, violations occur at + 10%/-15% of Voltage reference:

Time measurement of voltage line violations:

Vlim,max

(+10%)

Vlim,min (-

15%)


30 October 2012 42/59

ERDF:

Islanding a few consumers based on photovoltaic power production and Li-ion batteries is a technical challenge. The success of this operation relies on the dedicated management of the upstream grid and downstream electric networks. Therefore the key aspect of the demonstration project will be ensuring that islanding operations are perfectly controlled during the targeted time period: islanding will be stopped in the case of network divergence.

The operation of the island should guarantee quality of power supply for customers, which means that voltage violation should follow standards given by EN 50160. We do not expect much standard violations in the islanded area. Therefore we opted for a Key Performance Indicator that assesses the voltage deviation in islanding mode: voltage measurements will be made at the distribution transformer level over the overall islanding period (four hours, with an half-hourly time step: t, 9 measures). The voltage set point of the distribution transformer is considered to be 230V.

KPI Formula

√∑

= voltage deviation during islanding

= measurement of the voltage for each time step t = distribution transformer set point


30 October 2012 43/59

For the Nice Grid demo, the set point

Unit of measurement

% percentage basis

Expectation

CEZ – The improvement of the nominal voltage range to more than 95%, i.e. 95% of samples fulfill ± 10% voltage limits as defined in EN 50160 standard

ERDF -

Reporting Period

CEZ – For each islanding test. ERDF - For each islanding test.

Relevant Standards

EN 50160


GWP2.2_KPI_4


PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS




KPI CALCULATION METHODOLOGY DEMO CEZ



GWP2.2_KPI_5_CEZ 1 Measurement of the voltage at the distribution transformer level for each time step t during the islanding

CEZ Distribuce


30 October 2012 44/59

period: Vt GWP2.2_KPI_5_CEZ 2 Determination of the VDI CEZ Distribuce

DEMO ERDF



GWP2.2_KPI_5_ERDF 1

Voltage measurement at the distribution transformer for each time step t during the islanding

period:

ERDF – EDF R&D

GWP2.2_KPI_5_ERDF 2 Determination of ERDF – EDF R&D

KPI DATA COLLECTION DEMO CEZ

Data Data

ID


collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

Value – U (voltage)

Baseline

230V none none none none ČEZ Distribuce

Value – U (voltage) SG Measurement

Quality measurement

device

DAM (measur

e data storage device)

Four hours, with a half-

hourly time step:

t, 9 measures

Four hours ČEZ Distribuce

DEMO ERDF


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

Voltage

values

Voltage values

Instrumented distribution transformer

Instrumented distribution transformer

Islanding distribution transformer

Each islanding

- ERDF- EDF R&D

KPI BASELINE DEMO CEZ


LITERATURE VALUES



Details of Baseline

Baseline voltage is chosen to be 230V




30 October 2012 45/59

DEMO ERDF


LITERATURE VALUES



Details of Baseline


GENERAL COMMENTS



30 October 2012 46/59

4.1.6 Use of standards


KPI Name Effective use of standards with respect to declared use KPI ID GWP2.2_KPI_8

Strategic Objective

Verification if different DEMOs have actually applied the standards they have declared. In the case that this has not been the case, the KPI can help point out reasons why these have not been used.


RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner

RWE – IBERDROLA - ENEL – Enel Manager ERDF – Christophe Lebossé

KPI Description

All the DEMOs in the GRID4EU project have declared that they will apply different relevant standards. This is further specified in [gD4.1]. This particular KPI will indicate if the DEMOs have actually applied the KPI they initially declared their intention of using, and in the case that this is not so will provide important information on why this has not been the case. Regarding declared standards that will be used in the different DEMOs and as described in [gD4.1], the table below summarizes this list:


30 October 2012 47/59

KPI Formula

As defined in [gD4.1] the number of standards declared to be used per DEMO is found below:

Standards

DE

MO

1

DE

MO

2

DE

MO

3

DE

MO

4

DE

MO

5

DE

MO

6

Communication technologies

Wire

d

RS485 (twisted pair) X

Ethernet (IEEE 802.3) X X

PLC X X X X

Wire

less

Zigbee (IEEE 802.15.4) X

GPRS X X

WiMAX (IEEE 802.16) X X

LTE X

Communication protocols

H

igh

OS

I la

yers

L

ow

IEC 61334 S-FSK (PLC) X

Meters & More (PLC) X

LonWorks PLC (ISO/IEC 14908-3) X

PRIME (PLC) X

IEC 60870-5-104 X X X X

IEC 61850 X X

Modbus X X

OMA-DM/OMA-DS X

TCP/IP X

XMPP X

WS-* X X X

Information models

CIM (IEC 61968, 61970 & 62325) X X X X X

DLMS/COSEM (IEC 62056) X X

IEC 61850-7 X X

Modbus (function codes & data types) X X

LonWorks (ISO/IEC 14908) X

PRIME X


30 October 2012 48/59

DEMO # of standards declared

to be used RWE 0

VATTENFALL 7 IBERDROLA 8

ENEL 10 CEZ 8

ERDF 11 This KPI will apply per DEMO, and therefore there will exist 6 different values. It is conceivable that an aggregated result could also be obtained. With regards to the parameter “# of standards effectively used”, it is recognized that this definition is quite broad. In essence, for each of the standards that the DEMO has declared to use, each DEMO will have to accurately answer at the end of the project the following question: “has the specific standard been used/applied as was originally stated?”.

Unit of measurement

-

Expectation

Given that it is expected that DEMOs will apply/make use of the standards they have stated, the expectation is that this KPI give a 100% value for all DEMOs. RWE – IBERDROLA - 100% ENEL -100% ERDF – 100%

Reporting Period

At the end of the project

Relevant Standards

As described in [3], the Smart Grid Architecture is divided into two main categories;

- Communication Architecture, i.e. “how” the information is exchanged

- Information Architecture, i.e. “what” is the information exchanged

In this light, the relevant standards for this KPI are also subidivided into these two main themes.

Communication Technologies

- RS-485

- Ethernet (IEEE 802.3)

- PLC

- Zigbee (IEEE 802.15.4)

- GPRS

- WiMAX (IEEE 802.16)

- LTE Communication Protocols

- IEC 61334 S-FSK (PLC)


30 October 2012 49/59

- Meters and More (PLC)

- PRIME (PLC)

- LonWorks PLC (ISO/IEC 14908-3)

- IEC 60870-5-104

- IEC 61850

- Modbus

- OMA-DM/OMA-DS

- XMPP

- WS-* (Web Services)

Information Models

- CIM (IEC 61968, 61970 & 62325)

- DLMS/COSEM (IEC 62056)

- IEC 61850-7

- Modbus

- LonWorks (ISO/IEC 14908)

- Ethernet (IEEE 802.3)

- PRIME


-


PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS




KPI CALCULATION METHODOLOGY DEMO (RWE, IBERDROLA, ENEL, ERDF)



- Define number of standards to be used in DEMO (already done in [gD4.1])

Leader of each particular DEMO

- Analyze number of standards effectively used and applied in the DEMO

Leader of each particular DEMO

KPI DATA COLLECTION DEMO (RWE, IBERDROLA, ENEL, ERDF)

Data Data

ID


collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible


30 October 2012 50/59

N.A.

N.A. N.A. N.A.

N.A.

N.A. N.A. N.A.

KPI BASELINE A baseline for this KPI is not applicable

GENERAL COMMENTS

In the case that a particular standard has not been used by a DEMO, it would be relevant to indicate the reason for not using the standard, as this can provide a valuable learning point moving forward.


30 October 2012 51/59

4.2 Social KPIs

4.2.1 Recruitment


KPI Name Fraction of consumers and producers accepting participation in the different demos

KPI ID GWP2.2_KPI_6

Strategic Objective

Assessing the involvement of consumers in Smart Grid challenges and pilot projects


RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner

IBERDROLA - Ruth Moya Turbica ENEL – Enel Manager (tbd) ERDF – Christophe Lebossé

KPI Description

The Smart Grid must be built on a design for a fully inter-connected system that allows customers to more actively participate in decisions about their own energy use. This Key Performance Indicator investigates whether consumers are prone to be involved in smart grid pilot projects.

KPI Formula

= fraction of producers/consumers who agree to be part of the demo;

= number of producers/consumers involved in the demo (for instance

hosting equipments);

= number of producers/consumers contacted to be part of the demo.

Unit of measurement

% percentage basis

Expectations

IBERDROLA - ENEL – Over 50% ERDF -

Reporting Period

At the end of the recruitment period


-


PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS



30 October 2012 52/59



KPI CALCULATION METHODOLOGY DEMO IBERDROLA




To elaborate a list of customers that could participate in demo. IBERDROLA


Request participation of customer in demo. IBERDROLA

GWP2.2_KPI_6_IBERDROLA 3 Perform statistical analysis. IBERDROLA

DEMO ENEL KPI Step


Step Responsible

GWP2.2_KPI_6_ENEL 1 Elaborate complete list of DER generators that could participate in voltage regulation in demo

ENEL, (person responsible)

GWP2.2_KPI_6_ENEL 2 Request participation of each DER generator in voltage regulation.


GWP2.2_KPI_6_ENEL 3 Perform statistical analysis both in absolute and in power terms


DEMO ERDF



GWP2.2_KPI_6_ERDF 1

At the far end on the recruitment stage, determination of the number of consumers involved in the demo:

EDF SA - ERDF

GWP2.2_KPI_6_ERDF 2

At the far end on the recruitment stage, determination of the number of consumers contacted to be part

of the demo:

EDF SA - ERDF

GWP2.2_KPI_6_ERDF 3 Determination of EDF SA - ERDF

KPI DATA COLLECTION DEMO IBERDROLA


for data collection


collection

Location of Data

collection

Frequency of data

collection


Data collection

responsible

Number of

customers that

accepted participat

es in demo.

Telephone survey N/A N/A N/A N/A IBERDROLA

Number of

Telephone survey N/A N/A N/A N/A IBERDROLA


30 October 2012 53/59

customers that had

been enquired

to participate in demo.

DEMO ENEL


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

- - - - - - - - DEMO ERDF


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

- - - - - - - -

KPI BASELINE DEMO IBERDROLA

Source of Baseline

Condition

LITERATURE VALUES



Details of Baseline

Baseline values not applicable to this KPI.

Responsible (Name,

Company) for Baseline

-

DEMO ENEL


LITERATURE VALUES



Details of Baseline



-

DEMO ERDF


LITERATURE VALUES



Details of Baseline



-


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GENERAL COMMENTS


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4.2.2 Active Participation


KPI Name Fraction of consumers/producers actively taking part in the different demos

KPI ID GWP2.2_KPI_7

Strategic Objective

Assessing the involvement of consumers in Smart Grid challenges and pilot projects


RWE

VATTENFALL

IBERDROLA

ENEL

ČEZ Distribuce

ERDF

Owner

IBERDROLA - Ruth Moya Turbica ENEL – Enel Manager (tbd) ERDF – Christophe Lebossé

KPI Description

The Smart Grid must be built on a design for a fully inter-connected system that allows customers to more actively participate in decisions about their own energy use. This Key Performance Indicator investigates whether consumers are prone to be involved in smart grid pilot projects.

KPI Formula

Where:

- = the ratio of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO)..

- = the number of customers that have an active participation in demo (precise definition of “active participation” is defined per DEMO).

- , = the number of customers/producers that accepted participating in demo.

ERDF: The Key Performance Indicator is investigating whether customers will respond to dynamic request by lowering or time-shifting their energy usage.

= fraction of validated demand response schemes (load shedding/shifting

requests);

= number of consumers refusing or opting out of a demand response event

(load shedding/shifting requests);

= total number of day-ahead or infraday load shedding/shifting requests.

Unit of measurement

% percentage basis

ExpectationIBERDROLA – 70%


30 October 2012 56/59

s ENEL – tbd ERDF –

Reporting Period

At the end of the recruitment period


-


PUBLIC

GRID4EU PARTNERS

DEMO PARTNERS




KPI CALCULATION METHODOLOGY DEMO IBERDROLA




Elaborate list of customer that participate in demo. IBERDROLA


Save information before installation of “in-home display”. IBERDROLA


Save information after installation of “in-home display”. IBERDROLA


Perform statistical analysis. IBERDROLA

DEMO ENEL KPI Step


Step Responsible

GWP2.2_KPI_7_ENEL 1 Elaborate the list of participants in the demo project

ENEL

GWP2.2_KPI_7_ENEL 2

Find the number of producers that have accepted participating that decide to drop out of DEMO activities

ENEL

DEMO ERDF



GWP2.2_KPI_7_ERDF 1

Determination with the involved aggregators of the number of day-ahead and infraday demand response events (load

shedding/shifting requests):

ERDF – EDF R&D

GWP2.2_KPI_7_ERDF 2 Determination with the involved aggregators of the number of

ERDF – EDF R&D


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prosumers refusing of opting out of

a demand response event: GWP2.2_KPI_7_ERDF 3 Determination of ERDF – EDF R&D

KPI DATA COLLECTION DEMO IBERDROLA


for data collection


collection

Location of Data

collection

Frequency of data

collection


Data collection

responsible

Number of customers

that accepted participat

es in demo.

Telephonic survey N/A N/A N/A N/A IBERDROLA

Reduction of

consumed energy

Taken form control system. Smart Meters DCS Daily 6 months IBERDROLA

DEMO ENEL


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

- - - - - - - - DEMO ERDF


for data collection


collection

Location of Data

collection

Frequency of data

collection

Minimum monitoring

period

Data collection

responsible

- - - - - - - -

KPI BASELINE DEMO IBERDROLA

Source of Baseline

Condition

LITERATURE VALUES



Details of Baseline

The values of energy are calculated by the smart meters and are stored in a centralized control system where can be read and used for statistical analysis.

Responsible (Name,

Company) for Baseline

-

DEMO ENEL


LITERATURE VALUES



Details of Baseline



-


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DEMO ERDF


LITERATURE VALUES



Details of Baseline



-

GENERAL COMMENTS


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5 References

5.1 Project Documents

List of reference document produced in the project or part of the grant agreement

[[DOW] – Description of Work

[GA] – Grant Agreement

[CA] – Consortium Agreement

[dD1.1] Specification and requirements – Procedures for KPIs validation and measurement (DEMO RWE)

[dD2.1] Detailed project specification and development of demonstration activities – Procedures for KPIs

validation and measurement (DEMO Vattenfall)

[dD3.1] Iberdrola Demonstration: targets and solutions overview – Risk management. KPI validation and

measurements (DEMO Iberdrola)

[dD4.1] Documentation for technical coordination – Procedures for KPIs validation and measurement

(DEMO Enel)

[dD5.1] Detailed demonstration planning – Procedures for KPIs validation and measurement (DEMO

CEZ)

[dD6.1] Initiation of the demonstration – Procedures for KPIs validation and measurement (DEMO ERDF)

[gD4.1] Guidelines for standards implementation in the six demonstrations

[gD2.1] General Functional Requirements and specifications of joint activities in the Demonstrators

5.2 External documents

[1] Standard EN 50160 – Voltage Characteristics in Public Distribution Systems [2] CEI EN 61000-4-30 - Testing and measurement techniques – Power quality measurement methods [3] Smart Grids Coordination Group Technical Report – Reference Architecture for the Smart Grid –

Version 1.0 – 2012-03-02.

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