基于改进粒子群算法的电力系统经济负荷分配  

Economic dispatch of power systems based on modified particle swarm optimization algorithm

作　　者：杨莹[1] 赵为光[1] 

机构地区：[1]黑龙江科技学院电气与信息工程学院,黑龙江哈尔滨150027

出　　处：《黑龙江电力》2009年第3期181-184,共4页Heilongjiang Electric Power

基　　金：黑龙江科技学院引进人才基金项目(07-06)

摘　　要：提出了一种应用随机优化理论求解电力系统经济负荷分配的新方法,该方法以电力市场全天购电费用最小为目标函数,将高斯算子和交叉算子引入基本粒子群算法中。针对基本粒子群算法(PSO)的局限性,通过引入新的算子,克服了PSO算法前期精度低、后期收敛速度慢、易于陷入局部最优等缺点,在速度和精度上满足了计算要求。算例结果表明,所提出的方法能有效解决电力市场电力系统经济负荷分配问题。By applying chaotic optimization for solution economic dispatch of power systems is proposed in this paper. The method is improved by introducing intersection and Gaussian operator with the model of minizing the electricity purchasing fee in the power market. The particle swarm optimization algorithm with prior low precision, diver- gent character, slow late convergence and trending to trap in local optimum is improved by joining the new varia- bles. A satisfied solution in velocity and precision is achieved. It numerical simulation results show that chaotic opti- mization method for economic dispatch of power systems is nor only fast,but also simple and effective.

关 键 词：经济负荷分配 改进离子群算法 电力市场 

分 类 号：TM76[电气工程—电力系统及自动化]