基于多目标—约束优化进化算法的能源综合调度  

Energy integrated scheduling based on multiobjective-constrained optimization evolutionary algorithm

作　　者：曾亮[1,2] 梁小兵[1,2] 欧燕[1,2] 叶理德[1,2] 

机构地区：[1]中冶南方工程技术有限公司技术研究院,湖北武汉430223 [2]国家钢铁生产能效优化工程技术研究中心,湖北武汉430223

出　　处：《计算机集成制造系统》2016年第11期2668-2678,共11页Computer Integrated Manufacturing Systems

基　　金：国家863计划资助项目(2014AA041803)~~

摘　　要：针对钢铁企业多能源介质的动态平衡和优化调度问题,基于全局优化和系统节能思想,建立了煤气—蒸汽—电力等多介质多周期混合优化调度的数学规划模型;应用多目标优化的基本思想,将这一复杂的约束优化问题转化为具有两个目标的多目标优化问题,其中第1个目标取为原问题的目标函数值,第2个目标由约束条件转换得到,表示违反所有约束条件的程度,并采用混合约束优化进化算法求解。实例分析结果表明了模型和方法的有效性,经优化计算得出的调度决策方案实现了煤气—蒸汽—电力等介质的最优化分配、转换和使用,在提高能源综合利用效率的同时,也使钢铁企业获得最大的经济效益。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.

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 

分 类 号：O224[理学—运筹学与控制论] TP39[理学—数学]