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

被引：2

作者：

Guo Lirui ^{[1
]}

Huo Limin ^{[1
]}

Zhang Liguo ^{[2
]}

Liu Weina ^{[1
]}

Hu Jie ^{[1
]}

机构：

[1] Agr Univ Hebei, Dept Mech & Elect Engn, Baoding 071001, Peoples R China

[2] Agr Univ Hebei, Coll Informat Sci & Technol, Baoding 071001, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 5 | 2008年

关键词：

Reactive Power Optimization; Dual Population Ant Colony Optimization (DPACO); Distribution system; Optimization Algorithm;

D O I：

10.1109/CHICC.2008.4605757

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Dual Population Ant Colony Optimization(DPACO) was tried to be applied to Power System Dynamic Reactive Power Optimization. The 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 adopted. In running process, the pheromone was adjusted according to the ant's search results and the principle of pheromone modification and the convergence speed was fastened. At the same time, the Dual Population Ant Colony Optimization (DPACO) avoided trapping in local optimum and increased the precision of Reactive Power Optimization for doing well in global optimization. After optimization, the voltage quality was enhanced obviously and comprehensive fees decrease significantly. The running results show that Dual Population Ant Colony Optimization (DPACO) applied to Power System Dynamic Reactive Power Optimization is feasible and effective.

引用

页码：89 / +

页数：2

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