基于微粒群优化算法的锌电解分时供电优化调度

Optimum Dispatching of Time-sharing Power Supply for Electrolytic Zinc Process Based on Particle Swarm Optimization Algorithm

摘要: 建立了锌电解生产过程分时供电优化调度系统的多目标优化数学模型．设计出一种随机多目标微粒群优化（PSO）算法，并应用整数空间的随机多目标PSO算法实现锌电解过程分时供电的优化调度．克服了采用单目标模拟退火算法进行分时供电优化调度时存在的先验知识不足、搜索效率较低等缺点．

Abstract: A multi-objective optimal model for time-sharing power supply dispatching of electrolytic zinc is established.Then a stochastic multi-objective PSO(SMOPSO) is proposed,and the integral SMOPSO is used to optimize the dispatching of time-sharing power supply for electrolytic zinc process.The proposed algorithm conquers such disadvantages as lack of prior knowledge and low searching efficiency caused by using single-objective simulated annealing algorithm to optimize the dispatching of time-sharing power supply for electrolytic zinc process.