摘要
本文采用改进的模糊控制自适应遗传算法,以克服采用定值常量作为交叉和变异概率所带来的早熟现象和效率相对较低的问题,尽量避免陷入局部寻优。本文采用三机、十三机系统进行电力系统有功优化仿真,结果表明,改进的算法具有更好的寻优效果。
In this paper, using the improved fuzzy control adaptive genetic algorithm to overcome the fixed value constant as the crossover probability and mutation probability the premature phenomenon and the relatively low efficiency problem, and try to avoid getting into local optimization. This paper adopts 3 generators and 13 gen- erators system in power system simulation, the results show that, the improved algorithm has better optimal effect.
出处
《科技广场》
2012年第5期103-106,共4页
Science Mosaic
关键词
模糊控制
遗传算法
交叉算子
变异算子
仿真
寻优
Fuzzy Control
Genetic Algorithm
Crossover Operator
Mutation Operator
Simulation
Opti-mization
