粒子群算法在锌电解优化调度中的应用

Optimal Dispatching for Electrolytic Zinc Process with Particle Swarm Optimization Algorithm

针对电力部门的分时计价原则,根据锌电解过程参数模型,建立锌电解分时供电优化模型,并将粒子群优化算法应用于分时供电优化调度系统,获得最优分时供电方案以指导生产。工业应用结果表明,该系统可以有效降低锌电解过程的电能消耗,为企业创造显著的经济效益。

Directed against the principle of count by time-sharing and based on the parameter model of electrolytic zinc process ,an optimization model of power supply for electrolytic zinc is established in this paper. Particle swarm optimization algorithm is applied in time-sharing power supply optimal dispatching system,obtaining optimal time- sharing power supply scheme to production.Results show that this system can effectively decrease the power consumption and create great economic profits.