首页|基于多重混合博弈的云储能市场优化运行策略

基于多重混合博弈的云储能市场优化运行策略

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
针对多个分布式储能主体参与云储能市场的利益分配不均问题,提出了一种基于多重混合博弈的多目标云储能优化运行策略.策略打破了传统的租赁储能资源模式,以合同方式将管理权与使用权全权交由云储能聚合商来统一协调管理.采用多重混合博弈的方法建立了考虑低碳经济的多目标优化数学模型,在保证供能需求得到满足的同时,得到了最高合作超量下的最优分配方案.仿真结果表明,相比于目前常用的研究方法,所提出方法在经济效益上提升了18.625%,碳排放量减少了5.57%,为云储能市场的发展提供了理论支持.
Optimal operation strategy for cloud energy storage market based on multiple mixed games
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.

cloud energy storagedistributed energy storageenergy trading marketmultiple mixed gamecooperation overloadmulti-objective optimizationoptimal benefit distributionenergy regulation

刘禹彤、程孟增、张明理、赵琳、马广超、马少华

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国网辽宁省电力有限公司 经济技术研究院,辽宁 沈阳 110015

沈阳工业大学 电气工程学院,辽宁 沈阳 110870

云储能 分布式储能 能量交易市场 多重混合博弈 合作超量 多目标优化 最优利益分配 能源调控

辽宁省科学事业公益研究基金(软科学研究计划)

2023JH4/10600011

2024

10.7688/j.issn.1000-1646.2024.03.05

沈阳工业大学学报
沈阳工业大学

沈阳工业大学学报

CSTPCD北大核心
影响因子：0.62
ISSN：1000-1646
年,卷(期)：2024.46(3)
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