PERFORMANCE OPTIMIZATION OF A MULTILEVEL WIND POWER CONVERSION SYSTEM WITH SENSORLESS OPERATION FOR GRID POWER QUALITY ENHANCEMENT

Abstract

The rapid expansion of renewable energy generation has increased the demand for highperformance wind power conversion systems capable of delivering high-quality power to modern electrical grids. This paper presents a performanceoptimized multilevel wind power conversion system with sensorless operation for enhanced grid power quality. The proposed system employs a Model Reference Adaptive System (MRAS)-based sensorless speed estimation technique to eliminate mechanical speed sensors while maintaining accurate rotor speed estimation under varying wind conditions. A multilevel inverter is integrated with an advanced control algorithm to reduce harmonic distortion, improve voltage quality, and enhance overall conversion efficiency. The controller performs simultaneous DC-link voltage regulation, reactive power compensation, harmonic mitigation, and grid synchronization, ensuring stable operation during dynamic load and wind variations. Simulation results demonstrate significant improvements in power quality, reduced Total Harmonic Distortion (THD), faster transient response, lower switching losses, and improved power factor compared with conventional wind energy conversion systems. The proposed approach provides a reliable, cost-effective, and efficient solution for future smart grid and renewable energy applications.