A multi-objective optimal operation model of hydropower plant-reservoir-pumping station group is established considering three objectives: maximizing transferred water, maximizing hydropower generation and minimizing energy consumption. Based on the parameter adjustment strategy, the neighborhood variation and acceleration strategy, a new integrated and improved Cuckoo algorithm is proposed to solve the multi-objective optimization scheduling model, obtaining a multi-objective PARETO solution sets of power generation, water transfer and energy consumption of pumping stations. Taking the large and complex inter-basin water diversion project from Hanjiang to Weihe River as the research object, compared with the simulation scheduling model and NSGA-Ⅱ algorithm multi-objective optimization scheduling model, the optimal dispatching model has reasonable indexes such as power generation, water transfer, energy consumption, waste water and so on, having a comparative advantage.
孔波,付少杰,黄强.大型复杂跨流域调水工程电站-水库-泵站群多目标优化调度[J].水资源保护,2020,36(6):67-72.(KONG Bo, FU Shaojie, HUANG Qiang. Multi-objective optimal operation of hydropower plant-reservoir-pumping station group in large complex inter-basin water transfer projects[J]. Water Resources Protection,2020,36(6):67-72.(in Chinese))复制