Article (Scientific journals)
Grid-aware flexibility aggregation for zonal balancing markets
Karangelos, Efthymios; Papavasiliou, Anthony
2024In Electric Power Systems Research, 234, p. 110715
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Keywords :
Congestion management; Flexibility; Multi-area balancing; Robust optimization; Zonal markets; Balancing market; Congestions managements; Control area; External control; Multi areas; Transmission constraint; Zonal market; Energy Engineering and Power Technology; Electrical and Electronic Engineering
Abstract :
[en] This paper concerns the aggregation of intra-area flexibility resources into an offer curve towards a multi-area zonal balancing market. The scope for such an aggregation is to convey both the activation cost of the available intra-area flexibility resources and the cost of intra-area transmission constraints to the multi-area zonal market. The method is motivated by the fact that the latter cost component may not be trivial, since congestion also depends on power exchanges originating from/terminating at external control areas as well as on the topology of external control areas. We leverage robust optimization to compute a worst-case upper bound to the intra-area flexibility resource aggregation cost over a plausible domain of external grid operating conditions. We translate this worst-case cost into an ordered collection of price - maximum incremental quantity pairs, at zonal resolution. Our results indicate that such an approach can be used to hedge against the fact that a TSO has no observability outside its control area of responsibility.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Karangelos, Efthymios ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Méthodes stochastiques ; National Technical University of Athens, Athens, Greece
Papavasiliou, Anthony ;  National Technical University of Athens, Athens, Greece
Language :
English
Title :
Grid-aware flexibility aggregation for zonal balancing markets
Publication date :
2024
Journal title :
Electric Power Systems Research
ISSN :
0378-7796
eISSN :
1873-2046
Publisher :
Elsevier
Volume :
234
Pages :
110715
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
H2020 - 850540 - ICEBERG - Scalable Optimization of Power Systems with Flexible Demand and Renewable Supply
Funders :
EU - European Union
ERC - European Research Council
Funding text :
This work was supported by the European Research Council (ERC) under the European Union Horizon 2020 Research and Innovation Programme under Agreement 850540 .
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since 19 May 2025

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