Snapshot of achieved work within the GREDOR project.
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Transcript of Snapshot of achieved work within the GREDOR project.
Sunday 30 June 13
GREDOR Gestion des Réseaux Electriques de
Distribution Ouverts aux Renouvelables
Presentation and snapshot of achieved work
FLEXIPAC meeting Bertrand Cornélusse, University of Liège
December 2014
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Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables2
P L A N I N V E S T M E N T S
P L A N O P E R A T I O N S
REAL-TIME CONTROL
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables3
DSO Consumer TSO
Retailer BRP ProducerBSP
P L A N I N V E S T M E N T S
P L A N O P E R A T I O N S
REAL-TIME CONTROL
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Main GREDOR aims
Study investment planning, operational planning and real-time control strategies from a functional perspective - what do we want to aid? - from a computational perspective - how do we optimise the decisions? - and from an organisational perspective - how do system actors interact?
We build IT tools to do so. These tools plugged into a simulation framework provide quantified recommendations for system evolution.
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Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Project partners
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Sunday 30 June 13
Funded by
Started in January 2013
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
General process
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Prequalification
Global Capacity ANnouncement
Investment
Flexibility procurement
Flexibility notification
Flexibility Activation
Operational planning
Real-time control
Settlement
Long term
Short term
Very short term
ex post
DSO & TSO All stakeholders
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Global Capacity Announcement
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Prequalification
Global Capacity ANnouncement
Investment
Flexibility procurement
Long term
DSO & TSO All stakeholders
Questions •What to publish, who to?•is base case actual system or with foreseen investment?
Goals:•estimate & communicate capacity of network through a set of indicators•incentivise connections in good locations from network’s perspective•incentivise flexibility service in good locations
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux RenouvelablesGREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
GCAN example: generation connection
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New connections
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
GCAN computation results
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Active Network Management aspect not considered:
Flexible connectionFirm connection
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Operational planning
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Prequalification
Flexibility notification
Operational planning
Real-time control
Short term
Very short term
Long term
Available controls:•reconfiguration•flexibility contracts•storage•regulation devices
Goals:•take preventive actions to have the system in a
secure state in real time, •with sufficient controls to maintain it there in RT• Trade off preventive versus corrective actions.
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Operational planning example
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Voltage magnitude
Power injection
Power off take
Curtailed
Modulated
Now24h ahead
Current magnitude
Instantaneous cost
Now24h ahead
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Operational planning = Active Network Management
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31/10/14 17:42Active Network Management Benchmark
Page 1 of 4http://www.montefiore.ulg.ac.be/~anm/
ANM Benchmark.In order to promote the development of computational techniques
for Active Network Management (ANM), we propose a test
instance of a generic ANM problem. It can be used as a test bed for
comparing existing computational techniques, as well as for
developing new ones.
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Intro Material Team
http://www.montefiore.ulg.ac.be/~anm/
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
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GREDOR - Distribution Network SimulatorGREDOR - Distribution Network SimulatorEngine for the Quantitative Analysis of Regulatory Frameworks in Distribution Networks
Instance Server
Parameters
Simulate
Additional parameters
58f44b10 - day 167
Date Tue, 21 Oct 2014 15:30:40 GMT
Title Day 167
Network bus75
Production 25 MW mean
50 MW max
100 % of flexibility
-55 €/MWh cost
Consumption 5 MW mean
9.2 MW max
20 % of flexibility
60.5 €/MWh benefits
Energy prices 47.45 €/MWh mean
82.3 €/MWh max
Day 167 to 167
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Quantitative analysis
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Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Simulation process (just an overview)
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Sunday 30 June 13
Figure: General view of the future implementation. 5/5
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
Example of results
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Model 0 Model 1 Model 2 Model 3
min mean max min mean max min mean max min mean max
Welfare Euro -6697 30400 67922 5697 31462 67922 5697 31438 67922 5697 31559 67974
Shedding costs Euro 0 1108 32524 0 132 9702 0 151 9702 0 12 2532
DSO costs Euro 0 0 0 0 59 3218 -52 159 8613 -0 202 8541
TSO surplus Euro 573 2284 4129 573 2284 4129 573 2284 4129 387 2266 4129
Producers surplus
Euro -10935 27521 67497 -10929 27664 67497 -10906 27760 10906 -10906 27803 67459
Retailers surplus Euro -3081 1704 15579 -3081 1704 15579 -3081 1704 15579 -3081 1704 15579
Total shed quantity
MWh 0,0 11,1 325,2 0,0 1,3 97,0 0,0 1,5 97,0 0,0 0,1 25,3
Max. imbalance MW -0,8 -3,6 -16,6 -0,8 -3,0 -15,0 -0,8 -3,2 -15,0 -0,8 -3,0 -11,0
Total imbalance MWh 5,8 36,3 348,8 5,3 30,8 194,6 5,3 31,5 194,6 5,3 30,6 196,0
Total flexibility usage
MWh 0,0 0,8 207,0 0,0 5,2 207,5 0,0 5,6 207,5 0,0 6,2 207,5
Sunday 30 June 13
GREDOR - Gestion des Réseaux Electriques de Distribution Ouverts aux Renouvelables
And many more activities
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Investment planning☞ Tractebel engineering
Real time control☞ ULg, Pr. T. Vancutsem
Statistical models☞ UMons, Pr. J. Lobry
System data collection☞ RESAInteraction models and
qualitative analysis ☞ORES
See www.gredor.be Follow us on Twitter @GredorProject