Improved strategy of particle swarm optimisation algorithm for reactive power optimisation

被引：45
|
作者：
Lu, Jin-gui [1 ]
Zhang, Li [1 ]
Yang, Hong [1 ]
Du, Jie [2 ]
机构：
[1] Nanjing Univ Technol, Ctr CAD, Nanjing 210009, Jiangsu, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Dept Comp, Nanjing, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION | 2010年 / 2卷 / 01期
基金：
中国国家自然科学基金;
关键词：
reactive power optimisation; RPO; power flow calculation; particle swarm optimisation algorithm; PSO;
D O I：
10.1504/IJBIC.2010.030041
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper involves the application of particle swarm optimisation in the optimisation problem of reactive power. The optimisation model of reactive power is first introduced and the improved strategy of particle swarm optimisation is proposed for the problem of optimisation of reactive power in this paper. In order to improve the local search ability, the disturbance item is given for the updating equation of the particle in the improved strategy. The numerical examples of standard IEEE-6 and IEEE-30 power systems for the improved strategy of particle swarm optimisation are performed for the reactive power optimisation. The effectiveness of the improved strategy proposed in this paper has been demonstrated preliminarily from the numerical examples.
引用
收藏
页码：27 / 33
页数：7
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