Aggregating Distributed Energy Resources for Grid Flexibility Services: A Distributed Game Theoretic Approach: (Extended abstract)

Xiupeng Chen*, Jacquelien M.A. Scherpen, Nima Monshizadeh

*Corresponding author for this work

Research output: Contribution to conferenceAbstractAcademic


We propose a novel fully decentralized energy management scheme for aggregating distributed energy resources for grid flexibility services in wholesale electricity market. We model this problem as a multi-leader-multi-follower noncooperative game. Then a fully distributed algorithm in discrete-time is proposed to solve the problem and find the Nash Equilibrium(NE). In this algorithm, each aggregator only needs to exchange its estimate of the aggregate and an auxiliary variable with its neighbours. This scheme shows the scalability and efficiency in aggregating flexibility services from a large number of prosumers.
Original languageEnglish
Publication statusPublished - 2022
Event25th International Symposium on
Mathematical Theory of Networks and Systems: MTNS 2022
- University of Bayreuth, Bayreuth, Germany
Duration: 12-Sept-202216-Sept-2022


Conference25th International Symposium on
Mathematical Theory of Networks and Systems
Abbreviated titleMTNS 2022
Internet address

Cite this