基于递归式多目标协同进化遗传算法的电厂负荷分配研究  

Multi-objective Load Distribution Optimization for Thermal Power Plants Based on Recursive Multiple Objective Co-evolutionary Genetic Algorithm

作　　者：王建国[1] 韩娜[1] 丛聪[1] 

机构地区：[1]东北电力大学自动化工程学院,吉林吉林132012

出　　处：《化工自动化及仪表》2013年第5期627-630,共4页Control and Instruments in Chemical Industry

摘　　要：提出以多目标优化方法来完成电厂负荷调度分配。综合考虑了经济性、快速性和稳定性的要求,建立多目标优化的数学模型,采用递归式多目标协同进化遗传算法求解负荷分配问题。与传统多目标算法相比,该方法减少了各个目标之间可能产生的偏移,并且进化过程简单,具有较强的灵活性和实用性。A multi-objective optimization method was put forward to complete the distribution of plant load scheduling.By considering the economy,speediness and stability requirements of unit operation,new models for load distribution optimization were respectively built up,and the problem of load dispatch was solved with recursive multi-objective co-evolutionary genetic algorithm.Compared with the traditional multi-objective algorithm,this method can reduce the offset that may arise between the various goals because of its simple evolutionary process,strong flexibility and practicality.

关 键 词：负荷分配 多目标优化 协同进化算法 递归式多目标遗传算法 

分 类 号：TH81[机械工程—仪器科学与技术]