• Kuragayala Kalyan
• Dr.V.Usha Reddy

This paper presents a Novel Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for PMSG based Wind Power Generation system (WPGS). The ANFIS controller is employed for power and current limiting control of PMSG-WPGS under unbalance grid voltage conditions. In this proposed scheme, Grid Side Converter (GSC) transmits power to the grid and determines how the Machine Side Converter (MSC) controller regulates the electromagnetic power. In the meantime, it prevents the dc-link from over voltage by converting the unbalanced power into rotor kinetic energy. The three-phase inverter currents should be kept within the converters' safest operating range, and the GSC controller can also meet the grid reactive power whenever it needs. In addition, the GSC controller also used to reduce swings in output power and dc bus voltage. In the controlling topology to regulate the DC link voltage, PI controllers are implemented. But employing PI controllers speed response of the system is less and harmonic distortions are more. To control harmonic distortions and to improve the response of the system a new topology ANFIS is employed in place of PI. The performance of this proposed system is evaluated using MATLAB/Simulink 2018a Software.

Wind, unbalanced grid, peak current, PMSG, ANFIS controller

"A Novel ANFIS controller for enhanced operation of Wind Turbine based PMSG System during unbalanced Grid Voltage conditions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 2, page no.c599-c613, February-2023, Available :http://www.jetir.org/papers/JETIR2302280.pdf

"A Novel ANFIS controller for enhanced operation of Wind Turbine based PMSG System during unbalanced Grid Voltage conditions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 2, page no. ppc599-c613, February-2023, Available at : http://www.jetir.org/papers/JETIR2302280.pdf