文章摘要
王作玮,张真源,杜月芳.考虑调峰辅助服务的综合能源系统主从博弈优化调度[J].电力需求侧管理,2025,27(6):37-44
考虑调峰辅助服务的综合能源系统主从博弈优化调度
Master-slave game optimization scheduling of integrated energy system considering peak regulation ancillary service
投稿时间:2025-08-11  修订日期:2025-10-17
DOI:10. 3969 / j. issn. 1009-1831. 2025. 06. 006
中文关键词: 综合能源系统  综合需求响应  主从博弈  氢能多模式利用  辅助服务
英文关键词: integrated energy system  integrated demand response  master-slave game  multi-mode utilization of hydrogen  ancillary service
基金项目:广东省基础与应用基础研究基金资助项目(2022B1515250001)
作者单位
王作玮 电子科技大学 机械与电气工程学院成都 611731 
张真源 电子科技大学 机械与电气工程学院成都 611731 
杜月芳 电子科技大学 广东电子信息工程研究院广东 东莞 523808 
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中文摘要:
      随着可再生能源并网容量及高峰时段负荷的快速增长,电力系统调峰辅助服务需求日益增长。为此,提出了一种基于主从博弈的综合能源系统优化调度模型,在满足调峰需求的同时提高博弈主体的收益。首先,建立氢能多模式利用模型,增强综合能源系统的能量耦合。其次,构建考虑能源消费效用和不满意度的电热综合需求响应模型,充分发挥灵活负荷调节潜力。然后,建立以综合能源系统运营商为领导者、用户聚合商为跟随者的主从博弈模型,双方以各自收益最大化为目标进行博弈。基于KKT条件将双层模型转化为单层模型对综合能源系统主从博弈模型进行优化求解。算例仿真验证了所提优化调度模型的有效性,综合能源系统运营商收益提升43.60%,用户聚合商用能效益提升2.02%。
英文摘要:
      With the rapid growth of renewable energy grid integrated into power grid and load increase during peak hours, the demand for peak regulation ancillary services in the power system is increasing. Therefore, an integrated energy system(IES)model based on masterslave game is proposed, and the benefits of the game parties are increased with the peak regulation demands met. Firstly, a multi-mode utilization model of hydrogen energy is established to enhance the energy coupling of IES. Secondly, an integrated demand response(IDR)model including electricity and heat is constructed with the consideration of energy consumption utility and dissatisfaction, so as to give full play to the potential of flexible load regulation. Then, a master slave game model is established with integrated energy system operator (IESO)as the leader and user aggregator(UA)as the follower, and both parties play the game with the goal of maximizing their respective revenue. Two-layer master-slave model is converted into a single-layer model through the KKT condition for obtaining optimization solution. The effectiveness of the proposed optimization scheduling model is verified by case study, and the revenue of IESO is increased by 43.60% and theutility of energy consumption of UA is increased by 2.02%.
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