Study on optimal operation of Jiangsu section of estern route of South-to-North Water Diversion Project based on improved multi-objective particle swarm optimization algorithm
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.