首页 | 官方网站   微博 | 高级检索  
     

基于广义蚁群算法的电力系统经济负荷分配
引用本文:侯云鹤,熊信艮,吴耀武,鲁丽娟.基于广义蚁群算法的电力系统经济负荷分配[J].中国电机工程学报,2003,23(3):59-64.
作者姓名:侯云鹤  熊信艮  吴耀武  鲁丽娟
作者单位:华中科技大学电力工程系,湖北,武汉,430074
摘    要:提出了一种可用于求解一般形式的非凸、非线性约束优化问题的广义蚁群算法,以用于求解复杂的非凸、非线性电力系统经济负荷分配问题,与用于组合优化的蚁群算法类似,该算法运用了正反馈,分布式计算和贪婪式启发搜索,基于不动点理论,给出了该算法收敛的充分条件,多个算例结果表明,文中提出的算法是有效可行的。

关 键 词:广义蚁群算法  电力系统  经济负荷分配  遗传算法  不动点理论
文章编号:0258-8013(2003)03-0059-06
修稿时间:2002年5月18日

ECONOMIC DISPATCH OF POWER SYSTEMS BASED ON GENERALIZED ANT COLONY OPTIMIZATION METHOD
HOU Yun-he,XIONG Xin-yin,WU Yao-wu,LU Li-juan.ECONOMIC DISPATCH OF POWER SYSTEMS BASED ON GENERALIZED ANT COLONY OPTIMIZATION METHOD[J].Proceedings of the CSEE,2003,23(3):59-64.
Authors:HOU Yun-he  XIONG Xin-yin  WU Yao-wu  LU Li-juan
Abstract:A new versatile optimization algorithm called generalized ant colony optimization (GACO) is presented. The economic dispatch (ED) problem of power systems be solved by the algorithm. The GACO is based on the concepts of ant colony optimization for combinatorial optimization problems. The positive feedback, distributed computation, and the constructive greedy heuristic are used in the algorithm to solve the discontinuous, nonconvex, nonlinear constrained optimization problems. The convergence property of the GACO is discussed based on the fixed-point theory on a complete metric space. Several sufficient conditions for convergence are presented. The algorithm is tested and validated in several cases. In these cases, the GACO can provide accurate dispatch solutions in reasonable time. The results show that the GACO for the ED problem is versatile, robust and efficient.
Keywords:Economic dispatch  Generalized Ant Colony Optimization(GACO)  Fixed point theorem
本文献已被 CNKI 维普 万方数据 等数据库收录!
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-23

京公网安备 11010802026262号