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Application of particle swarm optimization in flood optimal control of reservoir group

机译:粒子群算法在水库群防洪优化中的应用

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The reservoir group along the middle and lower reaches of Yellow River is composed of the Luhun reservoir, Guxian reservoir and Xiaolangdi reservoir, in addition to Huanyuankou hydrological station as the common flood control point, with each reservoir having its own flood control objective respectively. The flood protection priority of the reservoir group along the middle and lower reaches of Yellow River is to regulate flood scientifically and reduce peak discharge at the flood control points of every reservoir and Huanyuankou hydrological station in the most efficient way. A flood optimal control model is established to optimize flood control of the reservoir group along the middle and lower reaches of Yellow River, based on the maximum flood peak clipping criterion. The combination of particle swarm optimization with reservoir cycling method is proposed to solve the model, whose effectiveness is validated through an expirical study.
机译:黄河中下游水库群除以yuan源口水文站为通用防洪点外,还由鹿浑水库,古县水库和小浪底水库组成,各水库分别有自己的防洪目标。黄河中下游水库群的防洪优先是科学调度洪水,以最有效的方式减少每个水库和Hua源口水文站的防洪口的洪峰流量。建立了洪水最优控制模型,根据最大洪峰削峰准则,优化了黄河中下游水库群的洪水控制。提出了粒子群算法与油藏循环法相结合的求解模型,并通过实证研究验证了模型的有效性。

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