首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于模糊控制遗传算法的输电系统最优化规划
引用本文:王晖,韩新阳,胡兆光,王广生.基于模糊控制遗传算法的输电系统最优化规划[J].电力系统自动化,2000,24(2):51-55.
作者姓名:王晖  韩新阳  胡兆光  王广生
作者单位:1. 北京航空航天大学计算机系,北京,100083
2. 国家电力公司动力经济研究中心,北京,100761
3. 中国电力科学研究院,北京,100085
摘    要:用遗传算法求解优化问题时,要花费大量时间对基因进行测试,,速度较慢。另外,遗传算法的性能还强烈地依赖于一睦相关参数(例如交叉和变异的概率)的选取。文中以电网规划为背景,对简单遗传算法(SGA)进行了多方面改进,得到模糊控制遗传算法(FLCGA)。该算法速度快,收敛到全局最优解的概率大。与基于传统遗传算法的电网规划比较,FLCGA算有明显的优越性。

关 键 词:遗传算法  模糊控制  输电系统  最优化规划  电网
收稿时间:1/1/1900 12:00:00 AM
修稿时间:1/1/1900 12:00:00 AM

TRANSMISSION NETWORK PLANNING AND OPTIMIZATION MODEL WITH GENETIC ALGORITHMS BASED ON FUZZY LOGIC CONTROLLER
Wang Hui,Han Xinyang,Hu Zhaoguang,Wang Guangsheng.TRANSMISSION NETWORK PLANNING AND OPTIMIZATION MODEL WITH GENETIC ALGORITHMS BASED ON FUZZY LOGIC CONTROLLER[J].Automation of Electric Power Systems,2000,24(2):51-55.
Authors:Wang Hui  Han Xinyang  Hu Zhaoguang  Wang Guangsheng
Abstract:Genetic algorithms (GAs) provide a new strategy for global optimization. but the computation burden of theconventional GA is heavy. In this work, the simple genetic algorithm (SGA) is improved in many aspects in the context oftransmission network planning. and a heuristic--genetic algorithm is obtained. Moreover. a fuzzy logic controlled geneticalgorithm (FLCGA) is presented, in which two fuzzy logic controllers are implemented to adjust the crossover rate andmutation rate adaptively during the optimization process. In compare with SGA, the proposed FLCGA has much betterperformance, and can be applied to a wide range of system optimization and control problems.
Keywords:transmission network planning    genetic algorithm  fuzzy logic control
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《电力系统自动化》浏览原始摘要信息
点击此处可从《电力系统自动化》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号