Abstract

Partial discharges (PDs) are one of the most important classes of ageing processes that occur within electrical insulation. PD detection is a standardized technique to qualify the state of the insulation in electric assets such as machines and power cables. Generally, the classical phase-resolved partial discharge (PRPD) patterns are used to perform the identification of the type of PD source when they are related to a specific degradation process and when the electrical noise level is low compared to the magnitudes of the PD signals. However, in practical applications such as measurements carried out in the field or in industrial environments, several PD sources and large noise signals are usually present simultaneously. In this study, three different inductive sensors have been used to evaluate and compare their performance in the detection and separation of multiple PD sources by applying the chromatic technique to each of the measured signals.

Highlights

  • Under normal operating conditions, insulation systems of high voltage electrical equipment are constantly subjected to multiple mechanical, electrical, thermal, and environmental stresses [1,2]. these stresses do not produce immediate failures on insulation, over time, a slow but effective aging of the material is initiated, due to the appearance of a series of degradation processes such as decomposition, erosion, oxidation, hydrolysis, chemical attack, mechanical creep, tracking, treeing, cracking, pitting, or dry-band arcing, among others, eventually leading to the loss of the insulating properties of the material until, complete electric asset failure occurs [3,4,5]

  • Like the signals captured with high-frequency current transformer (HFCT), the inductive loop sensor (ILS) concentrated in the same zone the pulses of noise captured in the ceramic bushing and the insulation papers; for the Rogowski coil (RC), a displacement in the equivalent bandwidth (B) of these sources was observed, which caused them to be located in different areas, leaving the clusters in different zones

  • In the results shown in the previous section, since the data were not taken simultaneously in the same acquisition, it cannot be considered as a good indicator that the chromatic technique serves to separate multiple sources acting at the same time into clusters

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Summary

Introduction

Insulation systems of high voltage electrical equipment are constantly subjected to multiple mechanical, electrical, thermal, and environmental stresses [1,2]. Internal PDs are considered the most harmful sources, since they occur inside the insulation and, if not detected in time, irreversible damage can lead to catastrophic failures In this context, the development of PD diagnosis has received an increasing amount of attention in recent decades so that unexpected failures in high voltage equipment might be avoided. Three inductive sensors commonly used in industrial and laboratory measurements have been used: a high-frequency current transformer (HFCT), an inductive loop sensor (ILS), and a Rogowski coil (RC) Their separation ability was evaluated and compared by the application of the chromatic technique.

Inductive Sensors for the Detection of PD
The Clustering Process Based on a Chromatic Technique Approach
Experimental Setup
Electrical Noise Characterization
Partial Discharge Characterization
Partial Discharge Source and Noise Characterization
Conclusions
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