Algorithm for Fast Detection of Stator Turn Faultsin Variable-Speed Synchronous Generators

Rodolfo V. Rocha () and Renato M. Monaro
Additional contact information
Rodolfo V. Rocha: Polytechnic School, University of São Paulo, São Paulo 05508-010, SP, Brazil
Renato M. Monaro: Polytechnic School, University of São Paulo, São Paulo 05508-010, SP, Brazil

Energies, 2023, vol. 16, issue 5, 1-23

Abstract: Faults between stator winding turns of synchronous generators have led to specific changes in the harmonic content of currents. In this paper, these changes are used to detect faults in variable-speed synchronous generators connected to three-level converters during their operation. Currents typically measured for control purposes are used to avoid installation of additional sensors. The neutral point current of the three-level converter is also evaluated under faults in the generator. Encoder-tuned dynamic filters based on Park transformation and Fourier coefficients together with low-pass filters are used to detect the selected harmonics under variable speeds. The geometric loci of these components are proposed as a method to distinguish between healthy and faulty conditions. Simulation and experimental data are used to test sensitivity, selectivity and detection time of the proposed technique for different fault types. Generalization for a different generator is also presented and tested. Most fault cases were detected using the harmonics.

Keywords: fault detection; protection; stator faults; turn faults; synchronous generator; variable speed; voltage-source converters; three-level converter (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/5/2491/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/5/2491/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:5:p:2491-:d:1088820

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().