基于混合智能算法的电力系统经济负荷分配

摘要

为解决复杂、不连续、不可导、非线性的电力系统经济负荷分配(economic load dispatch,ELD)问题,提出粒子群算法(particle swarm optimization,PSO)结合单纯形算法(simplex method,NM)的混合智能算法(simplex method-particle swarm optimization,NMPSO)。利用NMPSO解决ELD问题时,综合考虑了发电机组的阀点效应和系统网损,使ELD更接近实际情况,充分利用 PSO 随机性的全局寻优能力和 NM快速确定性的局部寻优能力,弥补了 PSO和NM分别单独应用时的不足。仿真结果表明,NMPSO应用于 ELD 问题,具有较好的优化效果。%For solving problem of economic load dispatch of complex,discontinuous,unguided and nonlinear power system,a kind of hybrid intelligent algorithm combining particle swarm optimization and simplex method was proposed.When using NMPSO to solve ELD problem,valve point effect and system transmission losses of the generator unit were comprehensively considered which made ELD more closely approximate to physical truth.By fully using global optimization of PSO random and partial optimization of NM rapid certainty,it was able to make up shortages of independent PSO and NM.Simulation results indicated that application of NMPSO in ELD was of better optimization effect.