Research on Optimal Operation of Reservoir Group Flood Control Based on Improved Intelligent Algorithm
The optimal flood control operation of reservoir groups aims to achieve effective water disaster prevention and provide a reference for real-time flood control decision-making.Aiming at the issues of difficulty in decomposing flood control targets and"dimensional disaster"in calculation,an optimal flood control dispatching model for mixed-linked reservoirs group based on the maximum peak shaving criterion was built.Utilizing the round-robin method effectively reduced dimensionality and combined with particle swarm optimization algorithm for efficient solution optimization.Taking the example of a mixed-connected reservoir group composed of five large reservoirs on the upper reaches of Huayuankou section of the Yellow River,a joint optimization scheduling of the reservoir group was conducted for typical years.The results indicate that compared to conventional scheduling,the optimized dispatching scheme effectively deduces the optimal solution.It reduces peak flow at flood control points and stabilizes the flow discharge process.Additionally,it enhances flood control reliability of controlling reservoirs and significantly alleviates flood control pressure of the Lower Yellow River.
reservoir groupoptimal flood control operationmaximum peak cutting criterionparticle swarm optimizationYellow River
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