综合加注时间约束下的高效抽水蓄能在线优化方法

Thomas Hieninger, F. Goppelt, Ronald Schmidt-Vollus
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引用次数: 2

摘要

本文提出了一种基于Nelder-Mead的离心泵在线优化算法,以减少运行过程中填充任务的能量需求。该方法适用于功率和填充水平数据,使转速适应当前填充水平。在优化过程中,必须考虑转速限制,以在最大允许时间内实现稳定的灌装。为了开发和测试该算法,使用了一个泵系统模型,并在Matlab/Simulink中实现了该模型。该调谐方法在允许的填充时间内实现了节能。
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ON-LINE OPTIMIZATION METHOD FOR ENERGY EFFICIENT PUMP-STORAGE OPERATION WITH INTEGRATED FILLING TIME CONSTRAINT
This contribution presents a Nelder-Mead based on-line optimization algorithm for centrifugal pumps to decrease the energy demand for filling tasks during operation. This method works with power and filling level data, which adapts the rotational speed to the current filling level. During optimization, rotational speed constraints have to be regarded to fulfill a steadily filling within a maximum permitted time. To develop and to test the algorithm, a model of a pump system is used, which is implemented in Matlab/Simulink. The tuning method achieves energy savings at the permitted filling time.
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