A model-predictive controller for optimal hydro-power utilization of river reservoirs

机译：一种用于最优水电利用河储层的模型预测控制器

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This paper focuses on a two-layer control algorithm for operational management of river barrages, which is based on a model-predictive controller in the upper layer and local controllers at each barrage in the lower layer. The incorporation of hydro-power utilization into the objective function of the predictive controller will be discussed in detail. The process description is based on an efficient numerical schema (Godunov-method) for the full Saint-Venant-equations using a coarse spatial discretization. A simulation study for three barrages of the river Moselle shows the benefits of the suggested approach for a real inflow scenario.

机译：本文侧重于河流屏障运营管理的两层控制算法，其基于上层的模型预测控制器和下层的每个拦截的局部控制器。将详细讨论对预测控制器的目标函数的水力电力利用率。过程描述基于使用粗糙空间离散化的全圣腔方程的有效数值模式（Godunov-Method）。三个河流摩泽尔的仿真研究表明了建议方法对真正的流入情景的好处。

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《IEEE International Conference on Control Applications》|2010年||共6页
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Linke Hartmut;
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中图分类 TP273-53;
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A model-predictive controller for optimal hydro-power utilization of river reservoirs

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