Damping Sub-synchronous Oscillations by Designing Neuro-Fuzzy Controller for DFIG Convertor

Sub-synchronous resonance usually occurs at the wind farms that connected to series compensated transmission lines. At this paper, a neuro fuzzy controller is designed for the new method of damping sub-synchronous oscillations using doubly-fed induction generator (DFIG) convertors. The adaptive neuro fuzzy inference system (ANFIS) approach is used to train the proposed neuro fuzzy controller according to the various values of the SSR damping controller (SSRDC) gain. It is shown that using the designed neuro fuzzy controller improve the performance of the damping controller and decrease the overshoot and settling time of the oscillations. The appropriate input signal for SSRDC and the optimum point to apply the output signal identified according to the residue-based analysis in the system and its gain is determined based on the root-locus diagrams. instability due to SSR is shown by modal analysis and time domain simulations. The IEEE first benchmark model is used in this study and simulations are done using MATLAB.