Patent Document ID: 8933572
Application ID: 14018314
Patent Flag: 1

Claim One:
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 SM , and its reactive power contribution, ΔQ SM , to the power generator system; sending signals from the neural network to the SMES controller to adaptively adjust gain and time constant controller parameters, K pg , K vg , T pg , T vg of the SMES controller, where K pg is SMES controller gain (generator real power), K vg is SMES controller gain (generator real voltage), T pg is SMES controller time response (generator real power) and T vg is SMES controller time response (generator real voltage); 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.