基于改进遗传算法的水电经济调度  

Economic Dispatch of Hydro Power System Based on an Improved Genetic Algorithm

作　　者：刘建明[1] 李茂军[1] 

机构地区：[1]长沙理工大学电气与信息工程学院,长沙410076

出　　处：《电力系统及其自动化学报》2007年第5期39-44,共6页Proceedings of the CSU-EPSA

基　　金：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。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 realencoding is expressed as matrix form. And three improved genetic operators, that are gene-row arithmetic crossover operator,gene-row 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.

关 键 词：遗传算法 实数编码 改进遗传算子 经济调度 

分 类 号：TM732[电气工程—电力系统及自动化]