Open Access

ARTICLE

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

Jasmin Pamela S¹ , R. Saranya¹ , V. Indragandhi¹ , R. Raja Singh¹ , V. Subramaniyaswamy², Yuvaraja Teekaraman³ , Shabana Urooj^4,*, Norah Alwadai⁵

1 School of Electrical Engineering, Vellore Institute of Technology, Vellore, India
2 School of Computing, SASTRA Deemed University, Thanjavur, India
3 Mobility, Logistics, and Automotive Technology Research Centre, Faculty of Engineering, ETEC, Department of Electrical Engineering and Energy Technology, Vrije Universiteit Brussel, Brussel, 1050, Belgium
4 Department of Electrical Engineering, College of Engineering, Princess Nourah bint Abdulrahman University, Riyadh, 84428, Saudi Arabia
5 Department of Physics, College of Sciences, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia

* Corresponding Author:Shabana Urooj. E-mail:

Computers, Materials & Continua 2022, 70(3), 5745-5763. https://doi.org/10.32604/cmc.2022.020093

Received 08 May 2021; Accepted 12 July 2021; Issue published 11 October 2021

Abstract

Asynchronous machines are predominantly preferred in industrial sectors for its reliability. Power 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 enduring. The 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 effects. As an outcome, the magnetic saturation and losses are estimated using a modified 2D nonlinear time-stepping finite element formulation. The method takes the electromagnetic fields at the ends of the motor into account using limited computer resources. The proposed method will greatly reduce computation time with limited computer resources for analyzing the machine's performance with high precision. The analyzed findings assist in preventing voltage variance issues in the power network system and provide suggestions for developing a robust system.

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