TY - GEN
T1 - Non-Cooperative Equilibrium for Heterogeneous Demand-Side Flexible Resources in Retail Electricity Markets
AU - Sun, Xiaotian
AU - Ren, Hanyu
AU - Xie, Haipeng
AU - Zhang, Runfan
AU - Bie, Zhaohong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The ever-increasing heterogeneity and population of demand-side flexible resources have brought challenges to the demand-side management. The decentralized coordination of the large population of heterogeneous demand-side resource, including electric vehicles (EVs), industrial flexible demands (IFDs), and thermostatically controlled loads (TCLs), is computationally hard. Therefore, this paper proposes a generalized flexibility model for the heterogeneous demand-side resources. Based on the generalized model, mean-field gamebased coordination method is adopted, where the existence and uniqueness of the non-cooperative equilibrium are proved. To obtain the equilibrium point in the retail electricity market, we proposed a Mann accelerated decentralized solution method to coordinate the strategic self-management. The algorithm is proved to converge to the ϵ-Nash equilibrium. The efficiency and scalability of the proposed method is validated in the retail electricity market containing 3000 demand-side resources.
AB - The ever-increasing heterogeneity and population of demand-side flexible resources have brought challenges to the demand-side management. The decentralized coordination of the large population of heterogeneous demand-side resource, including electric vehicles (EVs), industrial flexible demands (IFDs), and thermostatically controlled loads (TCLs), is computationally hard. Therefore, this paper proposes a generalized flexibility model for the heterogeneous demand-side resources. Based on the generalized model, mean-field gamebased coordination method is adopted, where the existence and uniqueness of the non-cooperative equilibrium are proved. To obtain the equilibrium point in the retail electricity market, we proposed a Mann accelerated decentralized solution method to coordinate the strategic self-management. The algorithm is proved to converge to the ϵ-Nash equilibrium. The efficiency and scalability of the proposed method is validated in the retail electricity market containing 3000 demand-side resources.
KW - decentralized coordination
KW - generalized flexibility model
KW - mean-field game
KW - non-cooperative equilibrium
KW - retail electricity market
UR - https://www.scopus.com/pages/publications/85174706795
U2 - 10.1109/PESGM52003.2023.10253039
DO - 10.1109/PESGM52003.2023.10253039
M3 - 会议稿件
AN - SCOPUS:85174706795
T3 - IEEE Power and Energy Society General Meeting
BT - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023
PB - IEEE Computer Society
T2 - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Y2 - 16 July 2023 through 20 July 2023
ER -
