基于改进粒子群优化的锌电解分时供电优化  

Optimization of time-sharing power supply for zinc electrolytic process based on improved PSO algorithm

作　　者：李勇刚[1] 桂卫华[1] 阳春华[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《计算机工程与应用》2007年第2期221-223,240,共4页Computer Engineering and Applications

基　　金：国家973重点基础研究发展规划资助项目(2002CB312200)。

摘　　要：依据电力部门的分时计价政策,利用由生产过程数据所建立的不同电解液酸锌比下电流效率及槽电压与电流密度之间的关系,建立了锌电解过程分时供电优化模型。同时提出了一种改进的粒子群优化算法,该算法采用轮盘赌的方法选择整个粒子群当前最优位置,降低了算法过早收敛于局部最优解的几率。最后将改进算法应用于分时供电优化,以获得最优的分时供电方案。仿真及实际应用结果表明,算法地改进大大提高了其全局搜索能力,分时供电的优化能显著降低锌电解过程的用电费用。According to time-sharing price counting policy of electric power,the relationship between current efficiency,cell voltage and current density at different ratio of sulfuric acid and zinc in electrolyte are obtained through analyzing process data of Zinc Electrolytic Process （ZEP）,and an optimization model of Time-Sharing Power Supply （TSPS） of ZEP is established.An Improved Particle Swarm Optimization （IPSO） algorithm is proposed.This algorithm selects the best position found by the swarm so far with roulette wheel selection method and the probability of premature converge to local minima is decreased.At last,the IPSO algorithm is applied to TSPS to obtain optimal time-sharing power supply scheme.Simulation and industrial practical results show that global search ability of IPSO is improved greatly and optimization of TSPS can decrease the power cost notably.

关 键 词：锌电解过程 分时供电 粒子群优化 轮盘睹选择 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]