基于博弈论的电力系统供给侧多方交易决策  

A Game Theory Approach to Analyzing Multi-Party Electricity Trading on Supply Side

作　　者：张忠会[1] 刘故帅 谢义苗 

机构地区：[1]南昌大学信息工程学院,江西省南昌市330031 [2]国网上饶供电公司,江西省上饶市334000

出　　处：《电网技术》2017年第6期1779-1785,共7页Power System Technology

摘　　要：在电力体制改革背景下,新增实体进入电力市场参与供电交易。分别建立传统方式与电力改革背景下的网损模型,考虑地理位置、收益以及系统损耗等因素,建立电网公司、新增实体和用户构成的3方静态非合作博弈模型。以含7个新增实体的电力系统为例,采用串行化协同遗传-粒子群优化算法进化算法求解其交易决策的纳什均衡解,得到供电方电价及系统网损优化结果,并解释了纳什均衡的物理意义。算例结果表明,该模型具有一定的可行性及普适性,为制定供给侧的多方电力交易决策提供了理论参考。Due to power system reform in China, a number of new entities （NEs） access to electricity market and participate in electricity trading. Traditional and new power loss models based on non-cooperated static game model, consisting of grid companies, NEs and customers, are proposed respectively, considering location, benefits and power loss. A seven NE case is studied and its Nash equilibrium result is obtained with serializing coevolutionary genetic algorithm- particle swarm optimization （GA-PSO） algorithm. Physical meaning of the result is then analyzed. Price strategy of the case and its optimized power loss are given. Price strategy and power loss of optimization results are also given. The proposed model shows its feasibility and universality with case study. Besides, the model and conclusions provide theoretical reference for forecasting electricity trading on supply side.

关 键 词：供给侧 新增实体 博弈论 电价 纳什均衡 多方交易 协同进化算法 

分 类 号：TM73[电气工程—电力系统及自动化]