Research of Reactive Power Planning Optimization Based on Improved Adaptive Genetic Algorithm for Wind Power Plant

被引：0
|
作者：
Liu, Shijie [1 ]
机构：
[1] Agr Univ Hebei, Coll Mech & Elect Engn, Baoding 071001, Peoples R China
来源：
PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016) | 2016年 / 133卷
关键词：
wind power plant; multi-scenario modeling; reactive power planning optimization; improved adaptive genetic algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Contrapose the randomness of wind speed and the wind power, use the method of multi-scenario based on probability analysis to study reactive power planning of wind power system and make the multi-scenario expectation model. On this basis, use improved adaptive genetic algorithm with subsection self-adaption selection strategy and the continuous changing mutation probability calculation method. Algorithm stability has been improved. The convergence of generation number has been reduced. And global optimization ability has been improved. The analysis of examples has verified the correctness and effectiveness of the model and the algorithm.
引用
收藏
页码：118 / 121
页数：4
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