引用本文:杨茂,杜茜,孙莉,王宇鑫,马成廉,刘俊良.基于双层博弈的多区域综合能源系统协同优化运行策略[J].电力自动化设备,2026,46(2):30-38.
YANG Mao,DU Qian,SUN Li,WANG Yuxin,MA Chenglian,LIU Junliang.Collaborative optimization operation strategy of multi-regional integrated energy system based on dual-layer game[J].Electric Power Automation Equipment,2026,46(2):30-38.
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基于双层博弈的多区域综合能源系统协同优化运行策略
杨茂1, 杜茜1, 孙莉2, 王宇鑫1, 马成廉1, 刘俊良3
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.国网吉林省电力有限公司长春供电公司,吉林 长春 130012;3.国网辽宁省电力有限公司丹东供电公司,辽宁 丹东 118000
摘要:
针对多区域综合能源系统(MRIES)互联时能源结构及网络之间的耦合关系日益复杂而导致能量转化和协调能力减弱问题,提出一种含有多主体特征的MRIES互联后的双层博弈模型和协同优化运行策略。提出MRIES分层分区优化运行架构,并在此基础上研究多主体能量交易模式;以区域能源站(ES)供能收益最大化、能源调度中心(EDC)交互收益最大化为目标,建立MRIES双层博弈优化调度模型;对传统Shapley收益分配模型进行改进,通过考虑利益分配影响因素实现对多ES收益的二次分配;对比分析了某综合区域的不同运行模式对MRIES运行结果的影响。结果表明,所提方法在满足多元负荷需求的前提下,能够使多区域ES和EDC获得更多收益,实现共赢。
关键词:  多区域综合能源系统  协同优化  双层博弈  交易策略  改进Shapley值法
DOI:10.16081/j.epae.202510023
分类号:
基金项目:吉林省产业技术研究与开发项目(2023C033-5)
Collaborative optimization operation strategy of multi-regional integrated energy system based on dual-layer game
YANG Mao1, DU Qian1, SUN Li2, WANG Yuxin1, MA Chenglian1, LIU Junliang3
1.Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China;2.Changchun Power Supply Company of State Grid Jilin Electric Power Co.,Ltd.,Changchun 130012, China;3.Dandong Power Supply Company of State Grid Liaoning Electric Power Co.,Ltd.,Dandong 118000, China
Abstract:
Aiming at the increasingly complex coupling relationships between energy structures and networks in multi-regional integrated energy system(MRIES) interconnections, which lead to weakened energy conversion and coordination capabilities, a collaborative optimization operation strategy of MRIES based on dual-layer game is proposed. A hierarchical and zonal optimization framework for MRIES is proposed, upon which a multi-agent energy trading mechanism is explored. Aiming at maximizing the energy supply profits of regional energy stations(ES) and the interaction profits of the energy dispatching center(EDC),a dual-layer game optimization scheduling model for MRIES is established. The conventional Shapley profit distribution model is modified by considering the influence factors of profit allocation to realize a secondary distribution of revenues among multiple ESs. The influence of different operation models in a certain comprehensive area on operation results of MRIES is compared and analyzed. The results show that on the premise of satisfying diverse load demand, the proposed method can enhance the profitability of multiple regional ESs and the EDC, achieving a win-win result.
Key words:  multi-regional integrated energy system  collaborative optimization  dual-layer game  trading strategy  improved Shapley value method

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