Interturn Short Fault Detection and Location of Permanent Magnet Wind Generator Based on Negative Sequence Current Residuals

Tonghua Wu, Shouguo Cai (), Wei Dai, Ying Zhu (), Xiaobao Liu and Xindong Li
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Tonghua Wu: NARI Group Corporation, Nanjing 211106, China
Shouguo Cai: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Wei Dai: NARI Group Corporation, Nanjing 211106, China
Ying Zhu: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Xiaobao Liu: NARI Group Corporation, Nanjing 211106, China
Xindong Li: NARI Group Corporation, Nanjing 211106, China

Energies, 2022, vol. 15, issue 24, 1-18

Abstract: This article proposes a model-based method for the detection and phase location of interturn short fault (ISF) in the permanent magnet synchronous generator (PMSG). The simplified mathematical model of PMSG with ISF on dq -axis is established to analyze the fault signature. The current residuals are accurately estimated through Luenberger observer based on the expanded mathematical model of PMSG. In current residuals, the second harmonics are extracted using negative sequence park transform and angular integral filtering to construct the fault detection index. In addition, the unbalance characteristics of three-phase current after ISF can reflect the location of the fault phase, based on which the location indexes are defined. Simulation results for various operating and fault severity conditions primarily validate the effectiveness and robustness of diagnosis method in this paper.

Keywords: permanent magnet synchronous generator; interturn short fault; current residuals; negative sequence; fault detection; fault phase location (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: 2022
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