电力系统经济负荷分配的人工免疫混沌优化算法  

Artificial Immune Algorithm Integrated with Chaotic Optimization for Economic Dispatch of Power System

作　　者：蒙文川[1] 邱家驹[1] 卞晓猛[1] 

机构地区：[1]浙江大学电气工程学院,浙江省杭州市310027

出　　处：《电网技术》2006年第23期41-44,55,共5页Power System Technology

摘　　要：提出了一种用于求解复杂电力系统经济负荷分配问题的新的人工免疫混沌优化算法,该算法融合了人工免疫算法极强的全局搜索能力以及混沌优化方法适合局部搜索的特点。在优化过程中,人工免疫算法通过克隆选择、克隆扩增和高频变异形成记忆细胞,并将其作为最优解的近似解,然后按混沌运动规律在近似解的邻域内进行局部搜索,进而获得精确的最优解。多个算例仿真结果表明,所提出的算法能够有效地解决经济负荷分配问题。A novel compound optimization algorithm is proposed to solve the complicated economic dispatch （ED） problems of power systems. In the proposed algorithm, an artificial immune algorithm （AIA） that possesses excellent global search ability is integrated with chaotic optimization （CO） that suits to local search, so the merits of both AIA and CO are adopted. During the course of optimization, the memory cells （the approximate solutions） can be achieved by AIA with clonal selection, clonal proliferation and hypermutation steps. Then CO is applied to execute local search in the neighborhood of the approximate solutions, and then the accurate optimum solutions according to the rules of chaotic motion can be obtained. Simulation results of several examples demonstrate that the proposed algorithm for ED problems is effective.

关 键 词：电力系统 经济负荷分配 人工免疫算法 混沌优化 

分 类 号：TM715[电气工程—电力系统及自动化]