基于遗传算法的最优潮流  

A Genetics-Based Algorithm Solution of Optimal Power Flow

作　　者：彭慧敏[1] 赵菁[1] 谢维廉[1] 

机构地区：[1]贵州工业大学电气工程学院,贵州贵阳550003

出　　处：《贵州工业大学学报（自然科学版）》2003年第1期45-48,53,共5页Journal of Guizhou University of Technology(Natural Science Edition)

摘　　要：提出一种基于遗传算法的最优潮流模型。该模型以节点电压幅值和网络拓扑图的一个支撑树的各支路两端节点电压相角差及可调变压器变比为编码对象,采用实数染色体编码法和改进两点交叉,成功地解决了基于遗传算法求解最优潮流问题。算例结果表明该模型的有效性。A model for the optimal load flow based on genetic algorithm is presented in this paper. The model coding object based on bus voltage and angular separation between the receiving-end voltage and the sending-end voltage of a line in sustentative tree of network topology structure, with real number coding method and improved two-point crossover, has successfully been used to solve the optimal load flow problem. The result of computation examples illustrates the effectiveness of the presented approach.

关 键 词：遗传算法 最优潮流 染色体编码 模型 电力系统 网络拓扑图 节点电压幅值 

分 类 号：TM711[电气工程—电力系统及自动化] O224[理学—运筹学与控制论]