Patent ID: 8933572
Filing Date: 2015-01-13
Classification: F03D,H02P,Y02E

Abstract:
1. In a wind turbine electrical power generator system that includes a superconductive magnetic energy storage (SMES) device, a SMES controller, and a neural network executing on a processor connected to the SMES controller, an adaptive superconductive magnetic energy storage (SMES) control method, comprising the steps of: comparing a power generator reference power and voltage signal with a measured power and voltage signal from the electrical power generator system in order to generate a reference error signal based on any differences between the reference and the measured signals; transmitting the reference error signal to an input of the SMES controller; the SMES controller, responsive to the reference error signal, commanding the SMES device to change its real power contribution, ΔP sending signals from the neural network to the SMES controller to adaptively adjust gain and time constant controller parameters, K generating starting weights for the neural network; and adaptively and iteratively adjusting the neural network weights responsive to error signals generated from differences between output power of the power generator system and the power generator reference power.