基于自适应粒子群算法的负荷最优分配  

Load Dispatch Optimization Based on Self-Adaptive Particle Swarm Algorithm

作　　者：苏鹏[1] 刘天琪[1] 黄健 

机构地区：[1]四川大学电气信息学院,四川成都610065 [2]峨眉山供电局,四川峨眉山614000

出　　处：《四川电力技术》2009年第4期32-35,84,共5页Sichuan Electric Power Technology

摘　　要：在传统经济负荷分配模型的基础上,结合节能调度的宗旨,建立了综合考虑系统有功网损最小和机组发电耗煤量最小的多目标负荷分配模型,该模型能对系统进行整体节能优化。引入了自适应权重和因子的概念,采用了一种用于多目标负荷最优分配的自适应粒子群算法,并对IEEE 57节点系统进行了仿真计算。结果表明,该方法能降低系统网损和减少机组煤耗,从而有效地节约能源,同时满足系统的安全约束。Based on the traditional model of economic load dispatch （ ELD ）, and combined with the purpose of energy conservation dispatching, a model of multi -objective load dispatch is established, where the active power loss minimization and coal consumption minimization are taken into account, and this model can optimize the energy - saving from the whole power system. Based on the factor of self - adaptive weight sum, a self - adaptive particle swarm algorithm is proposed and applied to solve load dispatch problem for IEEE 57 bus system. The simulation results show that the model is able to save energy sources effectively, and the validity of the established model and the effectiveness of the proposed algorithm are verified.

关 键 词：经济负荷分配 自适应粒子群算法 混沌优化 多目标优化 

分 类 号：TM714[电气工程—电力系统及自动化]