How to provide flexibility to prosumers, BRPs and DSOs ... · • Voltage / Reactive power control:...
Transcript of How to provide flexibility to prosumers, BRPs and DSOs ... · • Voltage / Reactive power control:...
How to provide flexibility to prosumers, BRPs and DSOs from
storage and electric vehicles?
XI International Conference on Energy Innovation
“Integration of Batteries and Electrical Vehicles: Towards a more Flexible Power System”
16/11/2018 XI International Conference on Energy Innovation
Pol Olivella-Rosell (CITCEA-UPC)
Barcelona, Friday 16th November 2018
Contents
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• Motivation
• Flexibility services
• Flexibility optimization management
• Pilots
Motivation – The aggregator agent
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BRP
ELECTRICITY
MARKET
RETAILERLEC / PROSUMERS
AGGREGATOR
DSOTSO
GEN
Flexibility services -What are we aiming at?
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The system will be managed by a Flexibility Operator (FO) that will control different kind of flexible devices:
• Batteries
• Electric vehicles
• Photovoltaic panels
• Water heaters
• Heat pumps
Flexibility services for:
• End-users/prosumers reducing the electricity bill
• BRP to reduce imbalance penalties and portfolio management
• DSO to control grid congestions
The INVADE project aims to provide a Cloud based flexibility management system integrated with EVs and batteries empowering energy storage at mobile, distributed and centralized levels to increase renewables share in the smart distribution grid.
Flexibility operator (FO): Merger of Aggregator and Energy Service Company (ESCO) agents:- ESCO: flexibility
services behind-the-meter
- Aggregator: flexibility services beyond-the-meter
FO INVADE platform processes
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• Consists of a set of main processes on an overall level
• The built-in functionality and the link between them, constitutes the
INVADE platform
Master data
and
configurations
Contract
management
Meter values
managementPredictions
Flexibility
management
optimization
Control signals
management
Follow up and
reporting
Events and
external
information
Control request
management
FO INVADE platform processes
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Forecasting
and
Measurements
Results
Flexibility
Optimization
Input
Battery
model
EV model
Load
model
Generation
model
Flexibility Asset Information
Optimization
model
Objective
Function
∑
t+1
Iterative process
Tesla Home energy management system (HEMS):
• 2 EVs
• 1 Battery 13.5 kWh, 7 kW peak and 5 kW continuous
• PV ¿?kWp
Self-consumption mode
Sonnen and SMA are also offering HEMSs
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Info from Twitter @Toblerhaus
Prosumer optimization results• HEMS: Home energy management system
• Flexible resources: 1 Battery 200 kWh + 6 EVCP + 180 kWp PV
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Norwegian and Bulgarian pilots
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BRP
ELECTRICITY MARKET
RETAILER
DSOTSO
BULK GENERATION
FO (Albena/Lyse)
Control signals
Flexibility billing
PROSUMER
Norwegian pilotDistributed energy storage at household level
The Norwegian pilot will demonstrate the ability of the integrated INVADE platform to co-operate
with an existing home energy management system. (The Smartly Ecosystem)
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Smartly data hub
INVADE FO platform
PV + EV + Batteries + Flexible water heater
Bulgarian pilotCreate flexibility: 200 kWh Battery + EV charging management + Control of water heaters
Sell flexibility to a BRP or energy trader.
Make the current infrastructure easily scalable.
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Dutch & German pilots
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BRP
ELECTRICITY MARKET
RETAILER
TSO
BULK GENERATION
FO (Greenflux)
Control signals
Flexibility billing
DSO
PROSUMER
Capacity limit
Flexibility billing
Dutch pilot
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Dutch pilot
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FO INVADE Platform
German pilot
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b) Distributed energy storage for DSO and
prosumer flexibility services
a) Centralised energy storage for DSO
flexibility services
Redox flow battery. 25 kW & 120 kWh
Catalan pilot
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ELECTRICITY MARKET
RETAILER
TSO
BULK GENERATION
FO (Mercator)
Control signals
DSO (EPESA)
Flexibility request
Flexibility billing
BRP (Mercator)
Flexibility request
Flexibility billing
Catalan pilot
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Wattius battery units for the pilot. 14/11/2018
TeknoCEA IDPR for the pilot
HV
MV
LV LV LV
LVLV
MVMV
MV MV MV
Centralized energy storage Demonstrate and evaluate
the benefits of centralized battery storage installed at a
secondary substation.
Partners
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www.h2020invade.eu
This project has received funding from the European Union’s Horizon 2020 Research and
Innovation programme under Grant Agreement No 731148.
Backup slides
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Motivation - German case
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0
50
100
150
200
250
300
350
400
450
500
2010 2011 2012 2013 2014 2015
Mill
ion
Eu
roTotal renewable power curtailment cost in Germany
2010-2015
Source: Ministerium für Energiewende, Landwirtschaft und ländliche Räume Schleswig-Holstein (2016)
Motivation - German case
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Price
Source: EPEX Spot. Christian Kunze. Smart Innovation Norway
Flexibility services for prosumers
• ToU optimization
– Based on load shifting from high-price intervals to low-price intervals.
• kWmax control
– Based on reducing the maximum load (peak shaving) that the Prosumer consumes within a predefined duration (e.g., day, month, year).
• Self-balancing
– It is typical for prosumers who also generate electricity (PV or CHP systems).
– Value is created through the difference in the prices of buying, generating, and selling electricity (including taxation if applicable).
– It can include zero-net injection optimization.
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Flexibility services for DSOs
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• Congestion management:
– Avoiding thermal overload of system components by reducing peak loads
– Flexibility may defer or even avoid the necessity of grid investments.
• Voltage / Reactive power control:
– Typically requested when solar PV systems “push up” the voltage level in the grid.
– Increasing the load or decreasing generation is an option to avoid exceeding the voltage limits.
– It can reduce the need for grid investments (such as automatic tap changers) or prevent generation curtailment.
• Controlled islanding:
– To prevent supply interruption in a given grid section when a fault occurs in a section of the grid feeding into it.
Main grid
!
!
Pricegrid
Substation
limited
Line
limited
!
Line
limited
EV
EV
Community
electricity
storage
Electricity storage at
different levels
Community
electricity
storage
Active power flow
Reactive power flow
Low AC voltage
Medium AC voltage
DC voltage
Demand response
Demand
response
Vehicle2Building
EV EV
Vehicle2Grid
charging
stationEV
EV
EV
EV
EV
EV
Vehicle2Home
EV
Vehicle2Home
!
Substation
limited
Flexibility
cloud
Flexibility services for BRPs
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• Day-ahead portfolio optimization
– It aims to shift loads from a high-price time interval to a low-price time interval before the day-ahead market closure.
– It enables the BRP to reduce its overall electricity purchase costs.
– This service is used by BRP to prepare day-ahead market bids.
• Intraday portfolio optimization
– It resembles day-ahead optimization after closing of the day-ahead market.
– This enables intraday trading and flexibility can be used to create value on this market, equivalent to the day-ahead market.
– This service is used by BRP to prepare intraday market bids.
– Intraday optimization, once the day-ahead market prices have been announced, is our preferred option rather than Day-ahead
• Self-balancing portfolio optimization
– It aims to reduce imbalance of the BRP portfolio to avoid imbalance charges.
– BRP does not actively bid on the imbalance market using its flexibility, but uses it within its own portfolio.
Pilots4 Use cases (UC):
1. Electric vehicle charging management
2. Centralized energy storage
3. Distributed energy storage at the household level
4. Hybrid: centralized and distributed storage
5 Pilots:
- Norway: UC 1 & 3
- The Netherlands: UC 1
- Bulgaria: UC 2
- Spain: UC 2
- Germany: UC 4
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Main grid
!
!
Pricegrid
Substation
limited
Line
limited
!
Line
limited
EV
EV
Community
electricity
storage
Electricity storage at
different levels
Community
electricity
storage
Active power flow
Reactive power flow
Low AC voltage
Medium AC voltage
DC voltage
Demand response
Demand
response
Vehicle2Building
EV EV
Vehicle2Grid
charging
stationEV
EV
EV
EV
EV
EV
Vehicle2Home
EV
Vehicle2Home
!
Substation
limited
Flexibility
cloud
2
41
3
Prosumer optimization results
One Norwegian household + 1 EVCP + 10 kWh Battery storage + 3 kWp PV + Subscribed power penalty + Norwegian Hourly electricity prices
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Aggregated flexibility services
3 Steps:
1. FO optimized baseline
2. Flexibility requests from DSOs and BRPs to FO
3. Aggregated/distributed zone optimization
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START
Initialize
Prosumer Optimization
External flexibility request? (DSO&BRP)
Zone level optimization
Any prosumer to optimize?
YES
NO
Send control signals
NO
YES
DSO request
BRP request
F&D inputs:
F&D inputs:
Last period?
Optimized control
signals including
flex. req.
YES
THE END
NO
Optimized baseline
for each prosumer
BRP/DSO flexibility services
• Activate flexibility when DSOs is facing technical constraints
• Or when BRPs need flexibility to compensate deviations
• Tested in the CITCEA’s microgrid laboratory
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