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

Xiupeng Chen; Jacquelien M.A. Scherpen; Nima Monshizadeh

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 voor dit werk

Onderzoeksoutput › Academic

Samenvatting

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.

Originele taal-2	English
Status	Published - 2022
Evenement	25th International Symposium on Mathematical Theory of Networks and Systems: MTNS 2022 - University of Bayreuth, Bayreuth, Germany Duur: 12-sep.-2022 → 16-sep.-2022 https://www.mtns2022.uni-bayreuth.de/en/index.html

Conference

Conference	25th International Symposium on Mathematical Theory of Networks and Systems
Verkorte titel	MTNS 2022
Land/Regio	Germany
Stad	Bayreuth
Periode	12/09/2022 → 16/09/2022
Internet adres	https://www.mtns2022.uni-bayreuth.de/en/index.html

Handle.net

Permanente koppeling

Citeer dit

@conference{a723fbe9d52a428e947812843ca7ed3b,

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

abstract = "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. ",

author = "Xiupeng Chen and Scherpen, {Jacquelien M.A.} and Nima Monshizadeh",

year = "2022",

language = "English",

note = "25th International Symposium on<br/>Mathematical Theory of Networks and Systems : MTNS 2022, MTNS 2022 ; Conference date: 12-09-2022 Through 16-09-2022",

url = "https://www.mtns2022.uni-bayreuth.de/en/index.html",

}

TY - CONF

T1 - Aggregating Distributed Energy Resources for Grid Flexibility Services: A Distributed Game Theoretic Approach

T2 - 25th International Symposium on<br/>Mathematical Theory of Networks and Systems

AU - Chen, Xiupeng

AU - Scherpen, Jacquelien M.A.

AU - Monshizadeh, Nima

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

M3 - Abstract

Y2 - 12 September 2022 through 16 September 2022

ER -

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

Samenvatting

Conference

Handle.net

Vingerafdruk

Citeer dit