Evaluation of Neural PDF Control Strategy Applied to a Nonlinear Model of a Pumped-storage Hydroelectric Power Station
نویسندگان
چکیده
In this paper, a neural Pseudoderivative control (PDF) is applied to a nonlinear mathematical model of the Dinorwig pumped storage hydroelectric power station. The response of the system with this auto-tuning controller is compared with that of a classic controller, currently implemented on the system. The results show how the application of PDF control to a hydroelectric pumped-storage station improves the dynamic response of the power plant, even when multivariable effects are taken into account.
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