电网技术2017，Vol.41Issue(3)：715-720,6.DOI:10.13335/j.1000-3673.pst.2016.2103
采用改进粒子群算法的直流电网最优潮流控制
OPF Control of DC-Grid Using Improved PSO Algorithm
摘要
Abstract
Able to control power flow flexibly and securely, VSC based DC grid has become one of the most valid approaches for large-scale renewable power generation, oceanic island power supply and new urban grid construction. To solve optimal power flow problem in DC grid, an adaptive particle swarm optimization (PSO) algorithm based on fuzzy control theory is proposed in this paper, and optimal operation considering both power loss and voltage quality is realized. Firstly, fuzzy membership curve is used to transform two objectives into one, and fitness value of last step is introduced as an input of fuzzy controller to adjust PSO controlling parameters dynamically. Then, the improved PSO algorithm is used to solve power flow model of a six-terminal DC grid. Finally, examples are simulated to verify effectiveness and feasibility of the proposed algorithm.关键词
直流电网/最优潮流/粒子群算法/模糊控制Key words
DC grid/optimal power flow/particle swarm optimization/fuzzy control分类
信息技术与安全科学引用本文复制引用
刘先正,温家良,潘艳,吴鹏飞,李金元..采用改进粒子群算法的直流电网最优潮流控制[J].电网技术,2017,41(3):715-720,6.基金项目
国家重点基础研究发展计划项目(973 项目(2012CB215204). Project Supported by the National Basic Research Program of China (973 Program) (2012CB215204). （973 项目(2012CB215204）
