电网技术2017，Vol.41Issue(6)：1779-1785,7.DOI:10.13335/j.1000-3673.pst.2016.1578
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
张忠会 1刘故帅 1谢义苗2
作者信息
- 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
- 折叠
摘要
Abstract
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Key words
supply side/new entity/game theory/price of electricity/Nash equilibrium/multi-party trading/hybrid algorithm分类
信息技术与安全科学引用本文复制引用
张忠会,刘故帅,谢义苗..基于博弈论的电力系统供给侧多方交易决策[J].电网技术,2017,41(6):1779-1785,7.
