Identification of the optimal control characteristics of a small hydropower plant using artificial neural networks and the support vector machines method

This study investigates a small hydropower plant at varying turbine speeds. The identification of the optimal turbine rotational speed as a function of a flow rate is usually based on the efficiency function of two variables. The existing procedures require a large number of operating points, which...

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Bibliographic Details
Published in:	Journal of hydraulic research Vol. 57; no. 5; pp. 715 - 723
Main Author:	Borkowski, Dariusz
Format:	Journal Article
Language:	English
Published:	Madrid Taylor & Francis 03-09-2019 Taylor & Francis Ltd
Subjects:	Approximation Artificial neural networks Control structures field studies flow control Flow rates Flow velocity Fluid flow hydraulics of renewable energy systems Hydroelectric plants Hydroelectric power Hydroelectric power plants Identification Mathematical analysis Multilayers Neural networks Optimal control Procedures Radial basis function Support vector machines Training Turbine engines Turbines velocity measurements
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