基于改进NSGA-Ⅱ算法的水库双目标优化调度  

Reservoir bi-objective operation optimization based on improved NSGA-Ⅱ

作　　者：刘东[1] 黄强[1] 杨元园[1] 刘登峰[1] 张连鹏[1] 魏晓婷 LIU Dong;HUANG Qiang;YANG Yuanyuan;LIU Dengfeng;ZHANG Lianpeng;WEI Xiaoting(State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China,Xi an University of Technology,Xi'an 710048,China)

机构地区：[1]西北旱区生态水利工程国家重点实验室西安理工大学,陕西西安710048

出　　处：《西安理工大学学报》2020年第2期176-181,213,共7页Journal of Xi'an University of Technology

基　　金：中国博士后科学基金资助项目(2019M653882XB);国家重点研发计划资助项目(2017YFC0405900)。

摘　　要：针对NSGA-Ⅱ算法选择机制的缺陷,本文提出一种更好保护优秀个体的择优方法——雄狮选择法,进而提出了一种基于雄狮选择法的改进NSGA-Ⅱ算法——NSGA2-Pride算法。将新算法应用于水库双目标调度问题中,结果表明,NSGA2-Pride算法的优化调度结果优于NSGA-Ⅱ算法的优化调度结果,其优化调度将各调度期供水强度平均值提高到83%以上,并将供水强度最小值从49.13%提升至72.51%,改善了水库供水状况。本研究为解决水库优化调度问题提供了新的方法。In view of the shortcoming in the selection mechanism of NSGA-Ⅱ algorithm,this paper first propose a selection method to better protect outstanding individuals-the male lion selection,and then propose an improved NSGA-Ⅱ algorithm,named NSGA2-Pride algorithm,based on the male lion selection.The new algorithm is applied to the solution of the reservoir bi-objective operation problem.Results indicate that the optimal operation results by the NSGA2-Pride algorithm are better than those by the NSGA-Ⅱ.The optimal operation results by the NSGA2-Pride algorithm increase the average of water supply intensity in each scheduling period by more than 83%,raise the minimum of water supply intensity from 49.13% to 72.51%,and improve the water supply state of reservoir.This study provide a new method for reservoir operation optimization.

关 键 词：NSGA-Ⅱ算法 雄狮选择 NSGA2-Pride算法 水库双目标调度 

分 类 号：TV212.4[水利工程—水文学及水资源]