基于 PSO 算法的厂级负荷受限优化分配研究

摘要

利用粒子群优化( PSO)算法,实现厂级实时负荷的优化分配. 在确立的负荷分配优化方案中,提出两种不同的厂级负荷分配优化策略,并以某火电厂4台600MW机组为例,利用电厂热力试验数据,确立了无因次的机组标准煤耗特性方程. 基于PSO算法完成了该火电厂机组负荷的优化分配,绘制最佳负荷分配曲线,为实现各机组的负荷最优化分配提供可靠依据.%Making use of particle swarm optimization ( PSO) algorithm to achieve optimal allocation of plant-level load at real time was implemented.In the scheme of establishing the optimal load distribution, two strate-gies for optimal load distribution were proposed.Taking four 600MW units in a thermal power plant as an ex-ample and basing on the thermal system' s test data, the dimensionless standard coal consumption characteris-tic equation was established and the optimal load distribution in the thermal power plant was completed based on the PSO algorithm together with drawing optimum load distribution curves.This provides the reliable basis for the optimal load distribution of each unit.