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开发了一种耦合水质模拟模型和混合遗传算法(HGA)的方法来确定水库不同泄洪口的最优调度策略。模拟模型运行时间合理,易与基于HGA的优化模型耦合。为评估其有效性,将其应用于实际工程。结果表明,与先前开发的模型相比,基于自适应神经模糊推理系统(ANFIS)的模型能明显减少运行时间,且不降低水库调度策略的准确性,此外还可有效地运用于实时水库调度。
A coupled water quality simulation model and a hybrid genetic algorithm (HGA) were developed to determine the optimal scheduling strategy for different spillways. The simulation model runs at a reasonable time and is easily coupled with the optimization model based on HGA. To assess its effectiveness, apply it to practical projects. The results show that compared with the previous model, the model based on adaptive neuro-fuzzy inference system (ANFIS) can significantly reduce the running time and does not reduce the accuracy of the reservoir scheduling strategy. In addition, it can be effectively applied to real-time reservoir scheduling.