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计及多能源柔性负荷调度的微能源网多目标演化博弈 被引量:7

Multi-objective Evolutionary Game of Micro Energy Grid Considering Multi-energy Flexible Load Scheduling
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摘要 文章提出了一种基于柔性负荷调度优化的微能源网与用户多目标演化博弈模型。综合考虑微能源网与用户优化目标要求以及相关约束条件,以微能源网收益最大、能源利用效率最大和用户用能支付成本最小、用能满意度最大为博弈双方目标函数,并利用模糊双目标法针对参与者双方不同量纲的双目标函数进行归一化处理。在博弈过程中用户通过柔性负荷的调度来调整用能策略,微能源网侧再根据用户用能行为调整售能价格,最终达到演化稳定状态。通过建立不同场景进行算例分析,结果表明所提出的考虑柔性负荷参与的微能源网与用户演化博弈模型不仅增强了综合能源系统的灵活调节能力,缓解了用能高峰时期供应紧张问题,而且明显提高了能源系统利用效率和微能源网综合收益,在一定程度上降低了用户支付成本,提升了用户的用能满意度。 This paper proposes a multi-objective evolutionary game model between micro energy grid and users on the basis of flexible load scheduling optimization.Comprehensively consider the requirements of the micro energy grid and the user’s optimization goals and related constraints,the objective function of the game is to maximize the profit of microenergy network,maximize the efficiency of energy utilization,minimize the cost of energy consumption and maximize the satisfaction of energy consumption.And the dual-objective functions of different dimensions of the participants are normalized by means of the modulus and the dual-objective method.In the game process,users adjust the energy consumption strategy through flexible load scheduling,and the micro-energy grid side adjusts the energy sales price according to the user’s energy consumption behavior,and finally reaches the evolutionary stable state.Through the establishment of different scenarios for example analysis,the results show that the proposed micro energy grid and user evolution game model that considers the participation of flexible loads can not only enhance the flexible adjustment capacity of the integrated energy system,but also alleviate the problem of supply shortage during peak energy consumption.Moreover,the utilization efficiency of the energy system and the comprehensive income of the micro energy grid have been significantly improved.To a certain extent,the user’s payment cost has been reduced,and the user satisfaction on energy consumption has been improved.
作者 耿世平 牛东晓 郭晓鹏 陈梦 谭彩霞 GENG Shiping;NIU Dongxiao;GUO Xiaopeng;CHEN Meng;TAN Caixia(School of Economics and Management,North China Electric Power University,Beijing 102206,China;New Energy Power and Low Carbon Development Research Center,Beijing 102206,China)
出处 《电力建设》 北大核心 2020年第11期101-115,共15页 Electric Power Construction
基金 教育部哲学社会科学重大课题攻关项目“构建清洁低碳、安全高效的能源体系政策与机制研究”(18JZD032) 高等学校学科创新引智计划“中国绿色电力发展研究学科创新引智基地”(B18021)。
关键词 微能源网 柔性负荷 演化博弈 多目标优化 micro energy grid flexible load evolutionary game multi-objective optimization
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