Optimization Scheduling Method for Irrigation Systems with Two Reservoirs and Three Pumping Stations in Hilly Areas

Abstract

【Objective】 This paper develops an optimal scheduling method for joint operation of two reservoirs and three pumping stations irrigation systems in hilly areas. 【Method】 Focusing on improving the efficiency of the pumping stations in dry years, we constructed the optimization model by minimizing the sum of the squares of the irrigation water shortages in each irrigation area and irrigation duration. The constraints to the optimization included annual water supply to the system, annual water supply to the pumping stations, lift capacity of the pumping stations, and optimal scheduling criteria of the reservoirs. The large system optimization method was used to solve the optimal scheduling. The model was applied to optimize the operation of Shanhu and Niqiao reservoirs in the Liuhe District in Nanjing City, Jiangsu province. 【Result】 Compared with conventional operation without optimization, the operation using the optimized parameters reduced the irrigation water shortage in Niqiao reservoir from 350 000 m3 to 0, reduced the amount of abandoned water in Shanhu reservoir from 450 000 m3 to 0, increased the amount of extracted river water in Shanhu reservoir from 4.03 million m3 to 4.35 million m3, reduced the terminated water storage in Shanhu and Niqiao reservoirs from the initial 8.19 million m3 and 1.45 million m3 to 8.47 million m3 and 1.59 million m3 at the end of the operation, respectively. 【Conclusion】 The proposed optimal method for reservoir operation can effectively reduce the amount of abandoned water and increase the amount of irrigation water supply. It can also give full play to the water lifting capacity of the pumping stations and reduce the number of times the pumping station needs to lift water to recharge the reservoirs. In addition, it also meets the requirements for the specific value of the terminal water storage of the reservoir.

Keywords

• reservoirs
• pumping stations
• joint optimal operation
• experimental optimization
• large system optimization