2D Finite Element Analysis of Asynchronous Machine Influenced Under Power Quality Perturbations

作     者：Jasmin Pamela S R.Saranya V.Indragandhi R.Raja Singh V.Subramaniyaswamy Yuvaraja Teekaraman Shabana Urooj Norah Alwadai 

作者机构：School of Electrical EngineeringVellore Institute of TechnologyVelloreIndia School of ComputingSASTRA Deemed UniversityThanjavurIndia MobilityLogisticsand Automotive Technology Research CentreFaculty of EngineeringETECDepartment of Electrical Engineering and Energy TechnologyVrije Universiteit BrusselBrussel1050Belgium Department of Electrical EngineeringCollege of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of PhysicsCollege of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第70卷第3期

页      面：5745-5763页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the Fast-track Research Funding Program 

主　　题：Asynchronous machine finite element model analysis voltage variations power quality multi-slice model 

摘      要：Asynchronous machines are predominantly preferred in industrial sectors for its *** quality perturbations have a greater impact on industries;among the different power quality events,voltage fluctuations are the most common and that may cause adverse effect on machine’s operation since they are longer *** article discusses a numerical technique for evaluating asynchronous motors while taking into account magnetic saturation,losses,leakage flux,and voltage drop.A 2D linear analysis involving a multi-slice time stepping finite element model is used to predict the end *** an outcome,the magnetic saturation and losses are estimated using amodified 2D nonlinear time-stepping finite element *** method takes the electromagnetic fields at the ends of the motor into account using limited computer *** proposed method will greatly reduce computation timewith limited computer resources for analyzing themachine’s performance with high *** analyzed findings assist in preventing voltage variance issues in the power network system and provide suggestions for developing a robust system.