Reactive Power Optimization for Distribution Systems Based on Dual Population Ant Colony Optimization

作     者：Guo Lirui 1,Huo Limin 1,Zhang Liguo 2,Liu Weina 1,Hu Jie 1 1.Department of Mechanical and Electronic Engineering,Agricultural University of Hebei,Baoding,071001,P.R.China 2.College of Information Science and Technology,Agricultural University of Hebei,Baoding,071001,P.R.China 

会议名称：《第二十七届中国控制会议》

会议日期：2008年

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

关 键 词：Reactive Power Optimization Dual Population Ant Colony Optimization (DPACO) Distribution system Opti-mization Algorithm 

摘      要：The Dual Population Ant Colony Optimization（DPACO） was tried to be applied to Power System Dynamic Reactive Power *** installation positions of capacitors were taken as obstacles,the capacities of capacitors installed were taken as the paths through which the ants climb over the obstacles and the mathematical models of the reactive power planning under the multiple load state were *** running process,the pheromone was adjusted according to the ant’s search results and the principle of pheromone modification and the convergence speed was *** the same time,the Dual Population Ant Colony Optimization（DPACO） avoided trapping in local optimum and increased the precision of Reactive Power Opti-mization for doing well in global *** optimization,the voltage quality was enhanced obviously and compre-hensive fees decrease *** running results show that Dual Population Ant Colony Optimization（DPACO） applied to Power System Dynamic Reactive Power Optimization is feasible and effective.