Abstract
With the development of hydropower stations towards multi-objective development, such as water supply, flood control, power generation and navigation, rational allocation of water resources has become a major problem. Based on liuzhou Honghua Hydropower station, an optimal scheduling model with multi-constraint, multi-objective, and multi-variable hydropower stations is proposed supported by the objective function based on the maximum generating capacity, navigation capacity and the least breakdown power. The Pareto optimal solution is employed to solve the multi-objective problem of optimal scheduling of hydropower stations. Consequently, a comprehensive evaluation model for optimal scheduling of hydropower stations was established according to the TOPISIS and gray correlation degree analysis. By selecting the scheduling solutions of hydropower stations, the result could be more accurate and closer to real conditions, which could provide guidance for project decision-makers.
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