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[An ultraviolet spectroscopy method for rapid partial discharge detection in GIS]
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|April 18, 2015
Summary
This study rapidly detects GIS partial discharge faults by analyzing sulfur dioxide (SO2) by-products using ultraviolet spectroscopy. This method enables quick identification and fuzzy judgment of discharge events in gas-insulated switchgear (GIS).
Area of Science:
- Electrical Engineering
- Analytical Chemistry
- Spectroscopy
Context:
- Gas-insulated switchgear (GIS) is critical for power transmission and distribution.
- Partial discharge (PD) faults in GIS can lead to catastrophic failures.
- Current detection methods for PD faults can be slow or complex.
Purpose:
- To develop a rapid and accurate method for detecting partial discharge (PD) faults in GIS.
- To utilize ultraviolet (UV) spectroscopy for identifying specific by-products of SF6 decomposition.
- To establish a correlation between SO2 concentration and the severity/timing of PD events.
Summary:
- Sulfur hexafluoride (SF6) decomposition under PD generates detectable by-products.
- Ultraviolet (UV) spectroscopy, specifically in the 295-305 nm range, can identify sulfur dioxide (SO2) amidst complex SF6 by-products.
- Spectral denoising (first derivative, S-G filter) and principal component regression enhance SO2 concentration analysis for fuzzy fault judgment.
Impact:
- Enables faster and more reliable detection of critical faults in GIS.
- Provides a non-invasive diagnostic tool for electrical infrastructure maintenance.
- Contributes to improved grid reliability and reduced downtime through early fault detection.
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