基于混合博弈的综合能源多园区运行策略研究  

Integrated Energy Multi-community Operation Strategy Based on Hybrid Game

作　　者：杨冬锋[1] 贺子谦 赵冠雄 郝中华 YANG Dongfeng;HE Ziqian;ZHAO Guanxiong;HAO Zhonghua(Key Laboratory of Modern Power System Simulation and Control and New Technology of Green Electric Energy,Ministry of Education(Northeast Electric Power University),Jilin 132012,China;State Grid Changchun Power Supply Company,Changchun 130000,China;State Grid Gongzhuling Power Supply Company,Gongzhuling 136100,China)

机构地区：[1]东北电力大学现代电力系统仿真控制与绿色电能新技术教育部重点实验室,吉林吉林132012 [2]国网长春供电公司,吉林长春130000 [3]国网公主岭市供电公司,吉林公主岭136100

出　　处：《智慧电力》2024年第7期56-63,共8页Smart Power

基　　金：国家重点研发计划资助项目(2022YFB2404000)。

摘　　要：为了解决多园区综合能源系统联合调度运行后出现的复杂利益关系和隐私保护问题,提出一种基于博弈论的多园区分布式协调优化策略。由综合能源供应商作为上层领导者制定能源价格,引导下层园区运营商优化园区运行,构成主从博弈关系;下层园区以非合作博弈方式各自追求园区运行成本最小,并应用Kriging元模型结合粒子群算法,实现双层博弈模型的求解。通过算例对比分析,证明了所提多园区分布式协调优化策略可降低各园区的运行成本,并且综合能源供应商制定的能源定价策略也为自身带来了收益。In order to solve the complex interest relationship and privacy protection problems arising from the joint operation of the multi-community integrated energy system,a multi-community distributed coordination optimization strategy is proposed based on game theory.The integrated energy supplier acts as the leader at the upper level to set the energy price,and guides the operators of the lower level to optimize the community operation.The communities at the lower level seek to minimize the operation cost of the community in the non-cooperative game mode.Then the Kriging meta-model and the Particle Swarm Optimization are applied to solve the two-layer game model.Finally,through the comparative analysis of examples,it is proved that the proposed multi-community distributed coordination optimization strategy can reduce the operating cost of each community.And the energy pricing strategy developed by integrated energy supplier has also brought benefits to himself.

关 键 词：园区综合能源系统 博弈论 能源定价策略 Kriging算法 

分 类 号：TM732[电气工程—电力系统及自动化]