ABSTRACT
The Jiangsu section of the South to North Water Transfer Project (JSNWTP) is an oversize inter-basin water transfer project (IWTP) consisting of different engineering units, such as rivers, lakes, gates, and pumps, which has a large-scale, complex structure, comprehensive function, and many influencing factors. At present, the ten-day scale scheduling cost of the JSNWTP is high and it is urgent to optimize the holistic scheduling on the ten-day scale. In this paper, based on the results of ten-day water level forecasts of impounded lakes, combined with constraints, the study adopts the differential evolutionary algorithms (DE) to analyze and calculate water sources, sectors, routes, and pumping stations, and generates a joint scheduling scheme of multi-water sources and double lines on a ten-day scale. On the premise of guaranteeing the completion of water transfer tasks, the cost of water transfer is reduced to achieve better project scheduling operation benefits. The results indicate that the model built in this paper can support the scientific scheduling decision of the JSNWTP to improve the scheduling and operation benefits on a ten-day scale and provide a new method for the benefit improvement of other water transfer projects.
