基于主从博弈模型的新能源消纳均衡控制技术研究  

Research on the balanced control technology of new energy consumption based on the master-slave game model

作　　者：樊建军 吴春潮 左东明 李韦达 FAN Jianjun;WU Chunchao;ZUO Dongming;LI Weida(CIC Gansu New Energy Company Limited,Lanzhou 730070,China;Tianjin CIC New Energy Company Limited,Tianjin 300142,China)

机构地区：[1]国投甘肃新能源有限公司,甘肃兰州730070 [2]天津国投新能源有限公司,天津300142

出　　处：《电子设计工程》2025年第4期82-85,91,共5页Electronic Design Engineering

基　　金：国投甘肃新能源有限公司科技项目(2021GX0077)。

摘　　要：为提高新能源的消纳水平,实现电力系统的绿色低碳转型,采用主从博弈的新能源消纳模型,考虑了电力市场中的供需双方的收益目标和约束条件,以及新能源消纳惩罚成本,通过改进型自适应遗传算法和粒子群算法相结合的方法求解该模型,结合算例验证了该方法的有效性和可行性。得出新能源单价为0.35元/(kW·h),传统能源的定价为0.45元/(kW·h)。可实现的供电方的最大收益为109元,用电方的最小成本为319元。该研究结果对于促进新能源消纳,提高电力市场效率,实现电力系统的绿色低碳转型具有一定的理论和实践意义。In order to improve the consumption level of new energy and achieve the green and low-carbon transformation of the power system,a master-slave game model for new energy participation is adopted,which considers the profit goals and constraints of both the supply and demand sides in the electricity market,as well as the penalty cost of new energy consumption.The model is solved by combining an improved adaptive genetic algorithm and particle swarm optimization algorithm,and the effectiveness and feasibility of the method are verified through numerical examples.The unit price of new energy is 0.35 yuan/(kW·h),while the price of traditional energy is 0.45 yuan/(kW·h).The maximum achievable revenue for the power supplier is 109 yuan,and the minimum cost for the electricity user is 319 yuan.The research results have certain theoretical and practical significance for promoting the consumption of new energy,improving the efficiency of the electricity market,and achieving the green and low-carbon transformation of the power system.

关 键 词：新能源消纳 主从博弈 改进型自适应遗传算法 粒子群算法 

分 类 号：TN99[电子电信—信号与信息处理]