Position: Home > Articles > Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Countryside Power Station
Journal of Anhui Agricultural Sciences
2008,36
(8)
3057-3058
模糊自适应遗传算法在农村电站无功补偿优化中的应用
作 者：
韩世芬
单 位：
鄂州大学计算机系
关键词：
模糊自适应遗传算法;无功补偿;优化设计
摘 要：
运用模糊自适应遗传算法对农村电站无功补偿优化数学模型进行了优化计算,通过实例的计算机仿真,搜索到了电站无功补偿费用最低的优化补偿点,结果符合实际应用情况,表明自适应遗传算法应用于农业工程优化设计计算切实可行。
译 名：
Application of Fuzzy Adaptive Genetic Algorithm in Reactive Power Compensation Optimization of Countryside Power Station
作 者：
HAN Shi-fen (Department of Computer Science, University of Ezhou, Ezhou, Hubei 436000)
关键词：
Fuzzy adaptive genetic algorithm; Reactive power optimization; Optimization design
摘 要：
Rural power station reactive power compensation optimization model has been optimized based on fuzzy adaptive genetic algorithm. Through examples of computer simulation, the minimum compensation for reactive power compensation optimization of power station is searched effectively. The results show that it is accord with actual application, which indicates that it is feasible of adaptive genetic algorithm applying in agricultural engineering optimization design
导出引用
计量
文章访问数: 20
HTML全文浏览量: 0
PDF下载量: 0
所属期刊
