Risk Assessment Based on Ion Current Measurement on a DC-GIL with Metal Particles

Metal particles pose the most significant risk for the occurrence of a breakdown in a DC-gas insulated line (GIL). To gain a reliable prognosis, this study presents a method of risk assessment based on the ion current measurement (ICM) on a DC-GIL. Therefore, the authors develop a risk assessment model based on the ion current's characteristics derived from measurements. The measurements respect different metal particles varying in shape, size, and material. The results show that the ion current depends on the number of particles, their shapes, and the location of the particles. After evaluating the ICM as a diagnosis method for DC, the method enables risk assessment for DC-GIL and therefore, maintenance planning.

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Published
2024-09-02
DOI
https://doi.org/10.1109/upec61344.2024.10892433
Citations
1
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.29
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article

Risk Assessment Based on Ion Current Measurement on a DC-GIL with Metal Particles

Saskia Düsdieker, K. Schlösser, Frank Jenau, T. A. Cramer
1 citations
Analytical Chemistry and Sensors
0.29
article

Risk Assessment Based on Ion Current Measurement on a DC-GIL with Metal Particles

Saskia Düsdieker, K. Schlösser, Frank Jenau, T. A. Cramer
article en
1 citations

Abstract

Metal particles pose the most significant risk for the occurrence of a breakdown in a DC-gas insulated line (GIL). To gain a reliable prognosis, this study presents a method of risk assessment based on the ion current measurement (ICM) on a DC-GIL. Therefore, the authors develop a risk assessment model based on the ion current's characteristics derived from measurements. The measurements respect different metal particles varying in shape, size, and material. The results show that the ion current depends on the number of particles, their shapes, and the location of the particles. After evaluating the ICM as a diagnosis method for DC, the method enables risk assessment for DC-GIL and therefore, maintenance planning.

TU Dortmund University (DE)
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Analytical Chemistry and Sensors
0.29
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