电力学报2017，Vol.37Issue(3)：33-38,6.
基于改进粒子群算法的动态无功优化研究
Research on Dynamic Reactive Power Optimization Based on Improved PSO
徐朝阳 1王孝友 1徐德贵 2徐中辉2
作者信息
- 1. 池州供电公司,安徽 池州 247100
- 2. 榆树大岭第二中学,吉林 榆树 130414
- 折叠
摘要
Abstract
According to the change of load in power system,the mathematical model of dynamic reactive power optimization is put forward,according to the characteristics of load curve get the intelligent segmentation.Improved particle swarm optimization algorithm,which has better convergence and accuracy,and effectively avoid the local optimal solution.The analysis of IEEE6-node system shows that the improved PSO has obvious improvement compared with the PSO,can reduce the system network loss.关键词
动态无功优化/粒子群算法/负荷曲线分段Key words
Dynamicreactivepoweroptimization/PSO/Intelligentloadcurvesegments分类
信息技术与安全科学引用本文复制引用
徐朝阳,王孝友,徐德贵,徐中辉..基于改进粒子群算法的动态无功优化研究[J].电力学报,2017,37(3):33-38,6.
