摘要
通过引入合适变异对PSO算法实施了改进,通过位置方差来克服算法易形成局部最优解的缺陷。利用改进后的PSO对含有DG的配电网进行无功优化,并给出具体的实现流程。算例分析得到:采用无功补偿能来减小系统网损并获得更优的电压质量,接入DG后则会引起网损的明显降低,使系统达到更高的电压水平,当风力发电机组输出更大的有功时,将会引起系统网损的减小。采用改进算法能够有效克服未改进的PSO算法较易产生局部最优解的缺陷,达到良好的全局搜索性能。
the PSO algorithm is improved by introducing appropriate variation, and the location variance is used to overcome the defect that the algorithm is prone to form local optimal solution. The improved PSO is used to optimize the reactive power of the distribution network with DG, and the specific implementation process is given. Example analysis shows that reactive power compensation energy is used to reduce the system network loss and obtain better voltage quality. After being connected to DG, the network loss will be significantly reduced and the system will reach a higher voltage level. When the wind turbine outputs more active power, the system network loss will be reduced.The improved algorithm can overcome the defect that the unimproved PSO algorithm is easy to produce local optimal solution and achieve good global search performance.
作者
管荑
刘勇
胡琳
赵乐
Guan Ti;Liu Yong;Hu Lin;Zhao Le(State Grid Shandong Electric Power Company,Jinan 250001,China;State Grid Shandong Electric Power Construction Company, Jinan 250001, China;State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211103, China)
出处
《电子测量技术》
2019年第16期43-46,共4页
Electronic Measurement Technology
关键词
配电网
改进粒子群算法
位置方差
优化
distribution network
improved particle swarm optimization
position variance
optimize