Analysis of Online Monitoring Error and Equivalent Circuit Model for Dielectric Loss Angle of Capacitive Equipment

The tangent value of the dielectric loss angle, tanδ, is a crucial electrical parameter that indicates the insulation status of capacitive equipment. Accurate measurement of tanδ is critical for detecting both overall defects and localized large defects in the insulation medium. The equipment voltage and its insulation leakage current serve as the electrical parameters for tanδ calculation. This paper examines the factors influencing online monitoring of voltage and current measurements, proposes an equivalent circuit model affecting voltage and current measurements, and conducts an error analysis of tanδ. The study identifies current sensors, insulation of signal cable, spatial electromagnetic field coupling, cable parameters, and signal conditioning unit characteristics as the main factors affecting insulation leakage current measurements. Additionally, the insulation and temperature characteristics of capacitor units in capacitive voltage transformers (CVT) are identified as the primary factors influencing voltage measurement. By establishing multifactor equivalent circuit models for current and voltage measurement channels, this paper theoretically and experimentally analyzes the effects of various factors on tanδ. This work not only provides a detailed explanation of the various sources of errors in online monitoring of the dielectric loss angle but also offers valuable theoretical guidance for the online measurement of tanδ under complex operating conditions.

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Publication Details

Journal
IEEE Transactions on Dielectrics and Electrical Insulation
Published
2025-06-09
DOI
https://doi.org/10.1109/tdei.2025.3574952
Primary Topic
Engineering Applied Research
Type
article
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article

Analysis of Online Monitoring Error and Equivalent Circuit Model for Dielectric Loss Angle of Capacitive Equipment

Lin Du, Xin Li, Hui Feng
IEEE Transactions on Dielectrics and Electrical Insulation
Engineering Applied Research
article

Analysis of Online Monitoring Error and Equivalent Circuit Model for Dielectric Loss Angle of Capacitive Equipment

Lin Du, Xin Li, Hui Feng
article en

Abstract

The tangent value of the dielectric loss angle, tanδ, is a crucial electrical parameter that indicates the insulation status of capacitive equipment. Accurate measurement of tanδ is critical for detecting both overall defects and localized large defects in the insulation medium. The equipment voltage and its insulation leakage current serve as the electrical parameters for tanδ calculation. This paper examines the factors influencing online monitoring of voltage and current measurements, proposes an equivalent circuit model affecting voltage and current measurements, and conducts an error analysis of tanδ. The study identifies current sensors, insulation of signal cable, spatial electromagnetic field coupling, cable parameters, and signal conditioning unit characteristics as the main factors affecting insulation leakage current measurements. Additionally, the insulation and temperature characteristics of capacitor units in capacitive voltage transformers (CVT) are identified as the primary factors influencing voltage measurement. By establishing multifactor equivalent circuit models for current and voltage measurement channels, this paper theoretically and experimentally analyzes the effects of various factors on tanδ. This work not only provides a detailed explanation of the various sources of errors in online monitoring of the dielectric loss angle but also offers valuable theoretical guidance for the online measurement of tanδ under complex operating conditions.

IEEE Transactions on Dielectrics and Electrical InsulationVol. 32(4)
Chongqing University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Engineering Applied Research
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Analysis of Online Monitoring Error and Equivalent Circuit Model for Dielectric Loss Angle of Capacitive Equipment — Lin Du, Xin Li, et al. · IEEE Transactions on Dielectrics and Electrical Insulation (2025) | TGRS Research Map | TGRS