A Novel Thermal Network Model Used for Temperature Calculation and Analysis on Brushless Doubly-Fed Generator With Winding Encapsulating Structure

Jiang, Xiaodong; Zhang, Yue; Jin, Shi; Zhang, Fengge; Gerada, Chris

Abstract

© 1972-2012 IEEE. In recent years, magnetic-barrier rotor has been put forward for brushless doubly-fed generator (BDFG) application owing to its desirable performance, such as high power density and strong magnetic coupling ability. However, it also causes significant losses induced by harmonics and high temperature problem. Hence, it is a major challenge to evaluate Bref-DFG temperature rise fast and accurately. So far, aiming at magnetic-barrier rotor, there has been no accurate thermal network model established achieving this goal. In addition, wingding end encapsulating technology has been used for a few years and its heat dissipation potential is determined by the materials. Therefore, the application of novel material in winding encapsulating structure is desirable to improve the heat dissipation potential. In this paper, an equivalent thermal network model, thermal resistance models of magnetic-barrier rotor, and a winding encapsulating structure with novel materials are further established for thermal analysis. Subsequently, temperature distributions for BDFG components are also calculated by finite element method, while the results are compared with those by analytical method. The BDFG prototype is manufactured with experimental tests performed. The correctness of the equivalent thermal network models proposed in this paper is verified by the test results.

• Journal Article Type: Article
• Acceptance Date: Nov 4, 2018
• Online Publication Date: Nov 28, 2018
• Publication Date: 2019-03
• Deposit Date: Apr 17, 2020
• Publicly Available Date: Apr 17, 2020
• Journal: IEEE Transactions on Industry Applications
• Print ISSN: 0093-9994
• Electronic ISSN: 1939-9367
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 55
• Issue: 2
• Pages: 1473-1483
• DOI: https://doi.org/10.1109/tia.2018.2883542
• Keywords: Control and Systems Engineering; Electrical and Electronic Engineering; Industrial and Manufacturing Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/1865259
• Publisher URL: https://ieeexplore.ieee.org/document/8550751
• Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.