Quantification of Market Power Mitigation via Efficient Aggregation of Distributed Energy Resources

Zuguang Gao*, Khaled Alshehri, John R. Birge

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Distributed energy resources (DERs) such as solar panels have small supply capacities and cannot be directly integrated into wholesale markets. So, the presence of an intermediary is critical. The intermediary could be a profit-seeking entity (called the aggregator) that buys DER supply from prosumers, and then sells them in the wholesale electricity market. Thus, DER integration has an influence on wholesale market prices, demand, and supply. The purpose of this article is to shed light onto the impact of efficient DER aggregation on the market power of conventional generators. Firstly, under efficient DER aggregation, we quantify the social welfare gap between two cases: when conventional generators are truthful, and when they are strategic. We also do the same when DERs are not present. Secondly, we show that the gap due to market power of generators in the presence of DERs is smaller than the one when there is no DER participation. Finally, we provide explicit expressions of the gaps and conduct numerical experiments to gain deeper insights. The main message of this article is that market power of conventional generators can be mitigated by adopting an efficient DER aggregation model.

Original languageEnglish
Title of host publication2022 IEEE 61st Conference on Decision and Control, CDC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4406-4411
Number of pages6
ISBN (Electronic)9781665467612
DOIs
StatePublished - 2022
Event61st IEEE Conference on Decision and Control, CDC 2022 - Cancun, Mexico
Duration: 6 Dec 20229 Dec 2022

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2022-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference61st IEEE Conference on Decision and Control, CDC 2022
Country/TerritoryMexico
CityCancun
Period6/12/229/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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