广东电力Issue(2)：17-21,92,6.DOI:10.3969/j.issn.1007-290X.2014.02.004
基于改进 PSO算法的风电并网系统电压无功优化研究
Study on Voltage Reactive Power Optimization for Wind Power Grid-connected System Based on Improved PSO
摘要
Abstract
Taking minimum active power transmission losses,minimum voltage deviation and maximum static voltage stability margin as target and considering of impact of simplified model of asynchronous wind power generator on power grid,this paper discusses establishment of multiple-target reactive power optimization model which is able to realize real-time adjust-ment according to change of wind speed.By improving self-adjusting inertial weight to refresh particle,it proposes to form curved surface of Pareto optimal solution according to crowding distance of Pareto optimal solution and take maximum crow-ding distance result as global extreme value to guide particle dispersedly distributing on Pareto optimal curved surface.By u-sing MATLAB programming,it proceeds simulation calculation for IEEE 30 node system and the result indicates practicabili-ty of this algorithm..关键词
多目标/无功优化/风力发电/粒子群算法/Pareto最优解/MATLABKey words
multiple target/reactive power optimization/wind power generation/particle swarm algorithm/Pareto optimal solution/MATLAB分类
信息技术与安全科学引用本文复制引用
史浩宇,彭显刚..基于改进 PSO算法的风电并网系统电压无功优化研究[J].广东电力,2014,(2):17-21,92,6.基金项目
广东省自然科学基金资助项目(10151009001000045) （10151009001000045）
南方电网科技项目(K-GD2012-218) （K-GD2012-218）
