A review of the research on fault detection, prediction and health management strategies of three-phase inverters under the background of Grid 2.0

Xiaomin Hong

doi:10.47297/taposatWSP2633-456908.20250603

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A review of the research on fault detection, prediction and health management strategies of three-phase inverters under the background of Grid 2.0

Volume 6, Issue 3

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A review of the research on fault detection, prediction and health management strategies of three-phase inverters under the background of Grid 2.0
A review of the research on fault detection, prediction and health management strategies of three-phase inverters under the background of Grid 2.0
Department of Electrical engineering and automation, Jilin Jianzhu University, Changchun, Jilin, 130022, China
Vol. 6, Issue 3, Pages: 49-52(2025)
Published：25 March 2025
DOI：10.47297/taposatWSP2633-456908.20250603
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Hong Xiaomin.A review of the research on fault detection, prediction and health management strategies of three-phase inverters under the background of Grid 2.0[J].Theory and Practice of Science and Technology,2025,06(03):49-52.
DOI：

Hong Xiaomin.A review of the research on fault detection, prediction and health management strategies of three-phase inverters under the background of Grid 2.0[J].Theory and Practice of Science and Technology,2025,06(03):49-52. DOI： 10.47297/taposatWSP2633-456908.20250603.

摘要

Abstract

Under the requirements of today's Grid 2.0 background

more intelligent power electronic converters are needed

and three-phase inverters are one of them. The function of the three-phase inverter is to convert DC into AC and convert the AC power in the grid into DC power. Three-phase inverters are inevitably used when the grid is running. Various faults may occur in the three-phase inverter during use

so fault detection

prediction and health management of three-phase inverters have become necessary. This research direction mainly reviews the various situations of three-phase inverter faults and how to detect and avoid faults to keep the three-phase inverter in a healthy state.

关键词

Keywords

references

Li Jing. (2023). Fault Diagnosis and Location Method of Three-phase Inverter (Master's thesis, Jilin University). Master's degree https://link.cnki.net/doi/10.27162/d.cnki.gjlin.2023.002319doi:10.27162/d.cnki.gjlin.2023.002319.

An Q.T, Sun L, Sun L.Z, Zhao K. Research progress in fault diagnosis methods for three-phase inverter switches. Transactions of China Electrotechnical Society, 26:135-144

Li Wenjie. (2022). Research on Fault Diagnosis Method of Three-phase Inverter Based on Signal Processing (Master's thesis, Xi'an University of Technology) Master's degree https://link.cnki.net/doi/10.27391/d.cnki.gxagu.2022.000361doi:10.27391/d.cnki.gxagu.2022.000361.

Luo Y, Chen C.Y, Shi Y.C, Zeng X.J. Open-circuit fault diagnosis method of three-phase inverter switch tube based on current value analysis. Journal of Railway Science and Engineering. 21: 4370-4382

Zhang Y, Shi L.P, Wen C, Han L. A fault detection method for T-type inverter based on voltage residual. 2022, China University of Mining and Technology. 56: 4-7

Zhan G.X, Liu G.Y, Ji Z.M, Yu S.E, Wang R.F. Health monitoring method of grid-connected inverter based on model parameter identification. Electric Power Science and Engineering, 39: 1-8

Gao Bofeng. (2018). Research on Three Phase Inverter Digital Control Technology and Short Circuit Current Limiting Strategy (Master's thesis, Huazhong University of Science and Technology). Master's degree https://kns.cnki.net/kcms2/article/abstract?v=i_LPdPvRpB6wA7CJh3OSCS6GODIIPp7jXSY0Q5VWK1B_vpsZOF1gNtaFvdfbpTneROpcTo738rQTR__ajSsjENOgl2hXlMCJ80m-7HvnL05EKJuhMaNLzNK2iydR5lj5PdguTV7J_fb7A3Y3qIP-Yxk1bb9Rneo68cyLtEvWNyssS81BpAZpaLc7h2IIXbAAowCv9Bt9UtY=&uniplatform=NZKPT&language=CHS.

Chen Zhaoxiang. (2023). Research on the online health condition monitoring for IGBT power modules in three-level NPC/ANPC inverters (Master's thesis, Hefei University of Technology). Master's degree https://link.cnki.net/doi/10.27101/d.cnki.ghfgu.2023.000369doi:10.27101/d.cnki.ghfgu.2023.000369.

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