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Research on the Vibration Characteristics of Pumped Storage Unit Stator Core Based on Fiber Optic Sensing
- Source :
- IEEE Transactions on Energy Conversion; September 2023, Vol. 38 Issue: 3 p2179-2190, 12p
- Publication Year :
- 2023
-
Abstract
- Stator core vibration (SCV) response of pumped storage units (PSU) can effectively reflect its operation status and provide reference for excitation winding inter-turn short circuit (ITSC) fault diagnosis. Considering that traditional piezoelectric acceleration sensors (PAS) are difficult to be installed on the stator core surface, this study proposes an online monitoring method based on fiber optic vibration sensing (FOVS). Firstly, this study derives the SCV response equations for the normal and ITSC states of the excitation winding, and obtains the vibration characteristic harmonics corresponding to each state. Secondly, a three-dimensional finite element simulation model of PSU with a generating capacity of 278 MVA is built, and the acceleration amplitude and characteristic frequency harmonics of the stator core are calculated to provide a reference for fiber optic vibration detection. Thirdly, this study focuses on the principle of modulation and demodulation of optical phase, builds an optical frequency-domain reflectometer (OFDR) - based FOVS system, and calibrates its sensitivity, amplitude and frequency characteristics as well as the lower detection limit. Finally, FOVS probes are installed on the surface of synchronous generator stator core to capture the vibration signals under different degrees of ITSC, and compared with the collected signals of PAS. The experimental results prove that the proposed method has obvious advantages in vibration monitoring in the low frequency band below 100 Hz.
Details
- Language :
- English
- ISSN :
- 08858969 and 15580059
- Volume :
- 38
- Issue :
- 3
- Database :
- Supplemental Index
- Journal :
- IEEE Transactions on Energy Conversion
- Publication Type :
- Periodical
- Accession number :
- ejs63809272
- Full Text :
- https://doi.org/10.1109/TEC.2023.3268739