Research of Rural Power Network Reactive Power Optimization Based on Improved ACOA  

作　　者：YU Qian ZHAO Yulin WANG Xintao 

机构地区：[1]Engineering College, Northeast Agricultural University, Harbin 150030, China [2]Electric Power Design Institute, Suihua Electric Power Design Institute, Suihua 152061, Heilongjiang, China

出　　处：《Journal of Northeast Agricultural University(English Edition)》2010年第3期48-52,共5页东北农业大学学报（英文版）

基　　金：Supported by China Postdoctoral Science Foundation(20090460873)

摘　　要：In view of the serious reactive power loss in the rural network, improved ant colony optimization algorithm （ACOA） was used to optimize the reactive power compensation for the rural distribution system. In this study, the traditional ACOA was improved in two aspects： one was the local search strategy, and the other was pheromone mutation and re-initialization strategies. The reactive power optimization for a county＇s distribution network showed that the improved ACOA was practicable.In view of the serious reactive power loss in the rural network, improved ant colony optimization algorithm （ACOA） was used to optimize the reactive power compensation for the rural distribution system. In this study, the traditional ACOA was improved in two aspects： one was the local search strategy, and the other was pheromone mutation and re-initialization strategies. The reactive power optimization for a county＇s distribution network showed that the improved ACOA was practicable.

关 键 词：rural power network reactive power optimization ant colony optimization algorithm local search strategy pheromone mutation and re-initialization strategy 

分 类 号：S828.91[农业科学—畜牧学]