Optimal operation strategy for cloud energy storage market based on multiple mixed games
LIU Yutong
CHENG Mengzeng
ZHANG Mingli
ZHAO Lin
MA Guangchao
MA Shaohua
Abstract：Aiming at the problem of unequal distribution of benefits of multiple distributed energy storage entities participating in the cloud energy storage market,a multi-objective cloud energy storage optimization operation strategy based on multiple mixed games was proposed.The traditional mode of leasing energy storage resources was broken,and the rights of both supervision and use were entrusted to the cloud energy storage aggregator for unified and coordinated management.A multi-objective optimization mathematical model considering low-carbon economy was established using the method of multiple mixed games.While ensuring the satisfaction of energy supply demands,the optimal allocation scheme under the highest cooperation overload was obtained.The simulation results show that compared to the commonly used research methods,the economic benefits of as-proposed method increases by 18.625%and carbon emission amount reduces by 5.57%,providing theoretical support for the development of the cloud energy storage market.
Keywords：cloud energy storagedistributed energy storageenergy trading marketmultiple mixed gamecooperation overloadmulti-objective optimizationoptimal benefit distributionenergy regulation
Publication Date：2024-05-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 270-276 )