Optimal Operation of Power Station Reservoir Based on Multi-Optimization Algorithm

The scientific and reasonable operation of power station reservoir can optimize the utilization efficiency of water resources, improve the comprehensive benefit of power station and promote the development of social economy. In this work, the optimization model of power station reservoir operation was established based on five constraint conditions, including water level constraint, output constraint etc. The model was solved based on genetic algorithm (GA), ant colony algorithm (ACO) and simulated annealing (SA) algorithm, and the parallel joint framework of these optimization algorithms was proposed to give full play to the advantages of different algorithms and improve the robustness of the result. A case study was conducted on a typical reservoir as the case study. The results showed that GA and ACO could optimize the model effectively, and the results were better than that of SA algorithm. The average output of power station reservoir solved by ACO was 2392 MW, with the annual average electric power production of 20.95 billion kW • h. Moreover, the results obtained based on the parallel joint framework were better than 93.33% of the results obtained based on a single algorithm run in the case, which further proved the effectiveness of the parallel joint framework of optimization algorithms. This work gives insights on Optimal operation of power station reservoir.