水资源与水工程学报2017，Vol.28Issue(3)：110-116,7.DOI:10.11705/j.issn.1672-643X.2017.03.21
基于改进多目标粒子群算法的南水北调东线江苏段工程联合优化调度研究
Study on optimal operation of Jiangsu section of estern route of South-to-North Water Diversion Project based on improved multi-objectiveparticle swarm optimization algorithm
摘要
Abstract
This paper is to develop the joint optimization and dispatching model of the Jiangsu section of the east line of the South-to-North Water Diversion Project, to explore the multi-objective particle swarm optimization algorithm, and to propose the multi-attribute TOPSIS decision-making method and an optimal scheduling scheme based on the large pumping station projects.The results show that the optimal scheduling scheme can effectively improve the utilization efficiency of water resources, giving full play to the storage capacity of the three lakes and reduce the pumping cost.With the inflow of 50%, 75% and 95%, the water shortages were reduced by 1.02 billion m3, 1.64 billion m3, and 0.71 billion m3 respectively, compared with the conventional dispatching.The pumping amount of the system could be reduced by 1.74 billion m3, 1.48 billion m3 and 1.22 billion m3, respectively, which has significant social, economic and other comprehensive benefits.关键词
多目标优化/改进多目标粒子群算法/TOPISIS决策/泵站群Key words
multi-objective optimization/extended multi-objective particle swarm optimization algorithm/TOPISIS decision/pumping station group分类
建筑与水利引用本文复制引用
闻昕,王志,方国华,郭玉雪,周磊..基于改进多目标粒子群算法的南水北调东线江苏段工程联合优化调度研究[J].水资源与水工程学报,2017,28(3):110-116,7.基金项目
国家自然科学基金项目(51609061) （51609061）
江苏省研究生培养创新工程项目(2016B03257) （2016B03257）
江苏省水利科技项目(2014012) （2014012）
江苏高校优势学科建设工程项目 （）
