大规模供水系统的动态递阶最优控制

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本文研究大规模供水系统的动态递阶最优控制。对控制模型进行适当的简化,消除了模型的隐含特征,保证了问题的凸性。在此基础上运用Tamura目标协调法,得出了更为简便的离线最优控制算法。在一些近似条件下,算法还被推广到实时控制中。离线算法与实时修正相结合,保证了控制的精度和实时性。文中还提出改进的按时空分解的递阶控制结构,用以解决系统优化级和泵站优化级之间的关联。 This paper studies the dynamic hierarchical optimal control of large-scale water supply system. Proper simplification of the control model eliminates the implicit features of the model and guarantees the convexity of the problem. On the basis of this, using Tamura’s goal coordination method, a more simple offline optimal control algorithm is obtained. Under some approximate conditions, the algorithm is also extended to real-time control. Offline algorithm combined with real-time correction to ensure the accuracy and real-time control. The paper also proposes an improved hierarchical control structure decomposed by time and space to solve the correlation between system optimization level and pumping station optimization level.
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