| 基于模糊控制自适应遗传算法的电力系统有功优化及仿真 |
| |
| 引用本文： | 许建明.基于模糊控制自适应遗传算法的电力系统有功优化及仿真[J].适用技术之窗,2012(5):103-106. |
| |
| 作者姓名： | 许建明 |
| |
| 作者单位： | 广东电网公司清远供电局,广东清远511500 |
| |
| 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。
|
| 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 Adaptive Genetic Algorithm Active Optimization in Power System Simulation |
| |
| Xu Jianming.Fuzzy Control Adaptive Genetic Algorithm Active Optimization in Power System Simulation[J].Science & Technology Plaza,2012(5):103-106. |
| |
| Authors: | Xu Jianming |
| |
| Affiliation: | Xu Jianming ( Qingyuan Power Supply Bureau, Guangdong Grid Co, Guangdong Qingyuan 511500) |
| |
| Abstract: | 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. |
| |
| Keywords: | Fuzzy Control Genetic Algorithm Crossover Operator Mutation Operator Simulation Opti-mization |
| 本文献已被 维普 等数据库收录！ |
