电测与仪表2015，Vol.52Issue(19)：79-83,5.
基于量子粒子群算法的含风电场配电网无功优化
Reactive power optimization in distribution network with wind farm based on quantum particle swarm optimization algorithm
唐云辉 1马跃江 2王超 1邓志森 3陈玉1
作者信息
- 1. 国电南瑞科技股份有限公司 南京 210061
- 2. 国网电力科学研究院 南京 210003
- 3. 四川省电力公司 成都 610000
- 折叠
摘要
Abstract
This paper studies on the reactive power optimization in distribution network of the wind farm, which con-tains doubly-fed induction generators.Considering the random output of DFIG, it' s difficult to dispose reactive power optimization by the traditional model.Therefore, scenario analysis is applied to analyze the distribution network with DFIG.And Monte Carlo simulation is used to select the location of reactive power compensation for distribution net-work.Considering the reactive power compensation capability of DFIG, a fuzzy reactive power optimization model was built to reduce the system network loss and restrict voltage deviation.Finally, the IEEE 33-node system was used as a test case, and it was solved based on Quantum particle swarm optimization.The result proves the feasibility and valid-ity of the proposed method in this paper.关键词
风电场/配电网/无功优化/场景分析/蒙特卡罗仿真/量子粒子群算法Key words
wind farm/distribution network/reactive power optimization/scenario analysis/Monte Carlo simulation/quantum particle swarm optimization分类
信息技术与安全科学引用本文复制引用
唐云辉,马跃江,王超,邓志森,陈玉..基于量子粒子群算法的含风电场配电网无功优化[J].电测与仪表,2015,52(19):79-83,5.
