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基于改进遗传算法的水电经济调度
引用本文:刘建明,李茂军. 基于改进遗传算法的水电经济调度[J]. 电力系统及其自动化学报, 2007, 19(5): 39-44
作者姓名:刘建明  李茂军
作者单位:长沙理工大学电气与信息工程学院,长沙,410076;长沙理工大学电气与信息工程学院,长沙,410076
基金项目:湖南省自然科学基金资助项目(05JJ30106),湖南省教育厅重点科研项目(05A018)
摘    要:传统遗传算法求解电力系统水电经济调度时效率不高,故提出了一种改进遗传算法。该算法采用实数编码,将染色体表示成矩阵形式;并设计了基因行算术交叉算子、基因行变异算子和基因列调整算子三种改进遗传算子,方便了在遗传过程中对约束条件的处理,提高了算法的搜索效率;改进的选择方式较好地避免了有用遗传信息的丢失。仿真结果表明,该算法与传统遗传算法相比,提高了计算效率,有利于获得全局最优解。

关 键 词:遗传算法  实数编码  改进遗传算子  经济调度
文章编号:1003-8930(2007)05-0039-06
收稿时间:2006-07-14
修稿时间:2006-09-07

Economic Dispatch of Hydro Power System Based on an Improved Genetic Algorithm
LIU Jian-ming,LI Mao-jun. Economic Dispatch of Hydro Power System Based on an Improved Genetic Algorithm[J]. Proceedings of the CSU-EPSA, 2007, 19(5): 39-44
Authors:LIU Jian-ming  LI Mao-jun
Affiliation:College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410076, China
Abstract:As the conventional genetic algorithm has low computation efficiency,an improved genetic algorithm is presented for solving economic dispatch of hydro power system.The chromosome with real-encoding is expressed as matrix form.And three improved genetic operators,that are gene-row arithmetic crossover operator,generow mutation operator and gene-line modified operator,are proposed to make the offspring individuals satisfy the constraints,which make the computation more efficient.Simulation results show that the proposed method has higher efficiency than the conventional one,and it has higher probability to get the global optimal solution.
Keywords:genetic algorithm  real-encoding  improved genetic operator  economic dispatch
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