Planning for Smart Operational Solutions

Lyon (France), 15-18 June 2015

Planning for Smart Operational Solutions

Active Network Management

Graham Ault – UK – RT3 Middle earth : Bringing operation in planning, introducing planning into operation


Overview

Active Network Management (ANM) Planning Methods and Tools for ANM Emerging Topics for ANM Planning

Graham Ault – UK – RT3 Middle earth: Bringing operation in planning, introducing planning into operation

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To rest of network….

12 MVA

Bus 1 Bus 2

FG0 - 15 MVA

NFG

3 - 12 MVA

12 MVA

v, i

v, i

ANM Controller

v, i

Real-time Export

SCADA/EMS/DMS

0 - ? MVA

Storage

Substation or Control Room

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Active Network Management: Concept

3Graham Ault – UK – RT3 Middle earth: Bringing operation in planning, introducing planning into operation

Lyon (France), 15-18 June 2015ANM Power Flow Operation Example

0

5000

10000

15000

20000

25000

30000

35000

40000

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

Pow

er (k

W)

March Grid Transformer DG1 Power DG2 Power DG3 PowerFirm Generation Power DG1 Setpoint DG2 Setpoint DG3 SetpointGlobal Trip Seq Trip Reset TrimTrim Less Reset Less

Trim

Bre

ach

2. Thermal limit reached at MP

1. Firm DG ‘forced’ increase to create

thermal breach

3. DG set-points calculated and

issued on pro-rata basis

4. DG ramp-down in compliance with

set-point instructions

5. Power flow at network constraint

below threshold

7. Driving force on

constraint removed

8. DG full release starts

6. Adjustments possible to fully use

thermal capacity



Control ProductsConsultancy, Analysis,

Tools and TrainingSystems Integration

and Support

Active Network Management

products

• Strategic Consultancy

• Power systems analysis

• ANM system design• Capacity analysis

tools• ANM planning and

operational training

• Services to support the deployment of Active Network Management

• Ongoing support and maintenance of operational systems

Project Lifecycle

Planning – Control – Support (SGS Approach)



ANM Challenge for Planning

Accurate representation of ANM control scheme

Valid DER and demand data sets Model configuration, validation and runtime Results interpretation Commercial sensitivity on input and output

data


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ANM Curtailment Assessment Background

Curtailment assessments required to inform network planners and DG developers of impact of ANM connection solution

Aim is to simulate ANM operational behaviour across representative study time-frames

Outputs of study provide an indication of frequency and severity of ANM actions on generators

Results provide an estimation of MWh curtailment across study period



Approaches to ANM curtailment assessment Spreadsheet-based analysis

• Allows for timely approximation of curtailment• Straight-forward error checking and validation• Well suited to cases of radial, thermal constraints

Load flow in-the-loop analysis

• Allows for full AC load-flow simulation• Impact of reactive power flows• Voltage analysis• Provides a more representative estimation of

constraints• Scripting used to automate power system simulation• Can be complex to create scripts and validate results



SGS Connection Analysis Tool: Input Data

Generator• Time-series export profiles for all variable generators

Loads• Time-series demand profiles for all variable loads

Constraints• Specification of limits to be observed

• Circuit limits (magnitude)• Nodal voltages (magnitude)• Transformer Reverse Power Flow (Magnitude and Direction)

• Limits may be dynamic• Seasonal ratings• Dynamic line ratings



Case Study

Feasibility Assessment study Real case study – anonymised Half-hourly load and generation

data • From 01/01/2011 to 30/06/2013

43776 instances of data entry • 2.5 years

Conditions• Max load: 43 MW• DG installed capacity: 168 MW

Network size:• 38 Nodes• 9 Generators• 7 Loads• 43 Branches

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SGS Connection Analysis Tool User Interface



ANM Curtailment Results

Controllable Device

Uncurtailed Generation Export Curtailed Generation Export

MWh Capacity Factor MWh Capacity Factor

GEN A 344998 32.84% 344998 32.84%

GEN B 310405 22.69% 310405 22.69%

GEN C 787968 94.74% 785720 94.47%

GEN D 64687 32.84% 57230 29.05%

GEN E 35937 29.85% 29486 24.49%

GEN F 10781 24.63% 9209 21.04%



ANM Operation and Control Implications for Planning

Response of stakeholders at connection planning stage important for planning process and control solution

Network Planners consider wider planning implications of ANM control scheme

Operational experience of generators in ANM control schemes fed back to validate and tune planning models and tools


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Emerging Topics for ANM Planning

Investment Planning with alternative solutions and commercial models

Triggers for network reinforcement once smart solution headroom expended

System operational planning with smart solutions (e.g. planned transfers, net flows and contingency analysis)

Informing investment and operational planning from operation and control (‘feedback loop’)


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Planning for Smart Operational Solutions

Graham Ault: [email protected]


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mailto:[email protected]

Planning for Smart Operational Solutions

Technology

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