电力系统自动化2017，Vol.41Issue(23)：38-45,116,9.DOI:10.7500/AEPS20170118013
基于博弈论的主动配电网扩展规划与光储选址定容交替优化
Game Theory Based Alternate Optimization Between Expansion Planning of Active Distribution System and Siting and Sizing of Photovoltaic and Energy Storage
摘要
Abstract
As the current active distribution network planning method does not reflect which investor makes the decision earlier, a bi-level alternate programming method is proposed between expansion planning of active distribution system and siting and sizing of photovoltaic power and storage based on the game theory.Firstly,based on a self-consumption trade pattern widely applied in European countries,a novel operation strategy for photovoltaic (PV) and energy storage system (ESS) considering peak and valley price is proposed.Based on this strategy,a bi-level optimization model is set up to optimize expansion planning of distribution network and siting and sizing of PV and energy storage.And then the binary particle swarm optimization algorithm is utilized in the upper level model for the optimization of installation nodes of new lines and distributed generators, the game theory is employed in the lower level model to determine the capacity configuration of PV and ESS in the lower level optimization.Finally,simulation tests are carried out in a distribution system in a certain planning area.Test results show that reasonable optimal storage system configuration and access solutions can reduce electricity cost of customers and effectively lower network loss in a distribution system.关键词
光伏/储能/自消费/交替优化/博弈理论Key words
photovoltaic/energy storage/self-consumption/alternate optimization/game theory引用本文复制引用
刘洪,范博宇,唐翀,葛少云,王莹,郭力..基于博弈论的主动配电网扩展规划与光储选址定容交替优化[J].电力系统自动化,2017,41(23):38-45,116,9.基金项目
国家重点研发计划资助项目(2016YFB0900401) （2016YFB0900401）
国家自然科学基金资助项目(51477116).This work is supported by National Key Research and Development Program of China (No.2016YFB0900401) and National Natural Science Foundation of China(No.51477116). （51477116）
