Real-Time Digital Twin of a Wound Rotor Induction Machine Based on Finite Element Method

Sami Bouzid, Philippe Viarouge and Jérôme Cros
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Sami Bouzid: Department of Electrical and Computer Engineering, Laval University, Quebec, QC G1V 0A6, Canada
Philippe Viarouge: Department of Electrical and Computer Engineering, Laval University, Quebec, QC G1V 0A6, Canada
Jérôme Cros: Department of Electrical and Computer Engineering, Laval University, Quebec, QC G1V 0A6, Canada

Energies, 2020, vol. 13, issue 20, 1-18

Abstract: Monitoring and early fault prediction of large electrical machines is important to maintain a sustainable and safe power system. With the ever-increasing computational power of modern processors, real-time simulation based monitoring of electrical machines is becoming a topic of interest. This work describes the development of a real-time digital twin (RTDT) of a wound rotor induction machine (WRIM) using a precomputed finite element model fed with online measurements. It computes accurate outputs in real-time of electromagnetic quantities otherwise difficult to measure such as local magnetic flux, current in bars and torque. In addition, it considers space harmonics, magnetic imbalance and fault conditions. The development process of the RTDT is described thoroughly and outputs are compared in real-time to measurements taken from the actual machine in rotation. Results show that they are accurate with harmonic content respected.

Keywords: digital twin; doubly-fed induction generator, electrical machines; finite elements method; monitoring; real-time; wound rotor induction machine (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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