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基于主从博弈的主动配电网分布式电源与独立储能协同规划方法
引用本文:易辰颖,胡志坚,林伟伟. 基于主从博弈的主动配电网分布式电源与独立储能协同规划方法[J]. 电测与仪表, 2024, 61(5): 83-90
作者姓名:易辰颖  胡志坚  林伟伟
作者单位:武汉大学 电气与自动化学院,武汉大学 电气与自动化学院,国网福建省电力有限公司经济技术研究院
基金项目:国家自然科学基金资助项目(51977156)
摘    要:为进行电力市场改革背景下的分布式电源(DG)与独立储能的合理规划,以分布式电源运营商(DGO)和独立储能运营商(IESO)为投资主体,分别对配电网中DG和独立储能的安装容量进行决策,以DGO为主导者、IESO为跟从者构建主从博弈双层规划模型。针对独立储能制定了消纳新能源出力与电池余量套利相结合的运行策略,并引入交易电价,使DGO利用弃风弃光部分与IESO开展交易。采用标准粒子群算法与数学优化方法相结合的方式求解模型,通过IEEE 33节点配电系统仿真分析表明,所提出的规划方法可有效提高规划的经济性,有利于储能的市场化发展,同时可提高DG渗透率,减小弃风弃光率。

关 键 词:独立储能   主从博弈   分布式电源   源-储协同规划
收稿时间:2021-01-13
修稿时间:2021-01-20

Cooperative planning method of distributed generation and independent energy storage in active distribution network based on Stackelberg game
Yi Chenying,Hu Zhijian and Lin Weiwei. Cooperative planning method of distributed generation and independent energy storage in active distribution network based on Stackelberg game[J]. Electrical Measurement & Instrumentation, 2024, 61(5): 83-90
Authors:Yi Chenying  Hu Zhijian  Lin Weiwei
Affiliation:School of Electrical Engineering and Automation,Wuhan University,School of Electrical Engineering and Automation,Wuhan University,Economic and Technological Research Institute of State Grid Fujian Electric Power Co, Ltd
Abstract:In order to carry out the reasonable planning of distributed generation (DG) and independent energy storage under the background of electric power market reform, the distributed generation operator (DGO) and independent energy storage operator (IESO) is the main investor to make decisions on the installation capacity of DG and independent energy storage respectively in distribution network, and the bi-level planning model of Stackelberg game is constructed with DGO as the guider and IESO as the follower. For independent energy storage, an operation strategy combining renewable energy consumption with interest arbitrage is formulated, and the transaction price is introduced to enable DGO to trade with IESO by using the abandoned power of DG. The model is solved by the method which combines the standard particle swarm optimization with intelligent algorithm. The simulation analysis of IEEE 33-bus distribution system shows that the proposed planning method can effectively improve the economy of planning, facilitate the market development of energy storage, improve the penetration rate of DG and reduce the abandonment rate of DG.
Keywords:independent  energy storage, Stackelberg  game, distributed  generation, source-storage  cooperative planning
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