Loss Analysis Towards Developing a Digital Twin Model of a PMSG-Based Powertrain for Wind Turbine System
Abstract
Wind turbine energy plays a vital role in the transition towards a cleaner energy environment. The ever-growing demand on wind turbine systems (WTS) necessitates the exploration of new technologies that offer higher reliability and efficiency. Digital twin (DT) technology has emerged as a leading trend for WTS. In this regard, this work aims to carry out a comprehensive losses analysis for the powertrain of a PMSG-based WTS to develop an accurate DT model for efficiency maximization. Leveraging finite element analysis, this study analyzes various loss components across stator, rotor, magnet, and converter under both passive and active rectifier configurations. The influence of current waveform and operating conditions on these loss components and torque ripple is also examined. The findings will contribute to training the DT model and further enhance the efficiency and performance optimization of WTS.