关键词: 钢铁企业, 多能源介质, 综合调度, 多目标优化, 混合约束优化进化算法

Abstract: Aiming at the problem of multi-energy dynamic balance and optimal scheduling in iron and steel enterprise,based on the idea of global optimization and systematical energy-saving,a mathematical programming model which focused on integrated scheduling of gas,steam,and electricity in multi-period was formulated.Thereafter,the above complex constrained optimization problem was converted to a multi-objective optimization problem which had two objectives,the first goal was the objective function value of original problem,the second goal was obtained by converting the constraints that indicated the degree of violation of all constraints.To solve the problem,the Hybrid Constrained Optimization Evolutionary Algorithm (HCOEA) was adopted.Example analysis results showed the validity of proposed model and algorithm,the scheduling scheme could realize the optimal distribution,transformation and utilization of multi-energy medium,not only for improving energy utilization efficiency,but also making the iron and steel enterprise obtain the biggest economic benefits.

Key words: iron and steel enterprise, multi-energy medium, integrated scheduling, multi-objective optimization, hybrid constrained optimization evolutionary algorithm