Multiple Characteristics Criterion Based Incipient Fault Detection of Distribution Systems

The fault characteristics of the new distribution system have changed significantly under the high proportion of new energy access, with variable operation modes and limited short-circuit currents. In this regard, arc-type early faults are the signs of short-circuit in the power system.The effective identification of early faults in advance can avoid the problem of short-circuit faults, which is difficult to jump off. Based on the equivalent model of early faults, the paper analyses the electrical quantity characteristics and temperature characteristics of the fault arc, and proposes an arcing high-resistance fault detection method that combines the current and temperature characteristics at the same time. The method integrates the speed of electrical signals and the high sensitivity and reliability of thermal signals, and then based on the composite characteristic quantity fault parameter identification criteria to detect the early faults. The effectiveness of the proposed method is verified comprehensively by simulation in PSCAD, field data and fault test in labs.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
DOI
https://doi.org/10.11930/j.issn.1004-9649.202309031
Primary Topic
Peanut Plant Research Studies
Type
article
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article

Multiple Characteristics Criterion Based Incipient Fault Detection of Distribution Systems

SHILAP Revista de lepidopterología
Peanut Plant Research Studies
article

Multiple Characteristics Criterion Based Incipient Fault Detection of Distribution Systems

article en

Abstract

The fault characteristics of the new distribution system have changed significantly under the high proportion of new energy access, with variable operation modes and limited short-circuit currents. In this regard, arc-type early faults are the signs of short-circuit in the power system.The effective identification of early faults in advance can avoid the problem of short-circuit faults, which is difficult to jump off. Based on the equivalent model of early faults, the paper analyses the electrical quantity characteristics and temperature characteristics of the fault arc, and proposes an arcing high-resistance fault detection method that combines the current and temperature characteristics at the same time. The method integrates the speed of electrical signals and the high sensitivity and reliability of thermal signals, and then based on the composite characteristic quantity fault parameter identification criteria to detect the early faults. The effectiveness of the proposed method is verified comprehensively by simulation in PSCAD, field data and fault test in labs.

SHILAP Revista de lepidopterología
North China Electric Power University (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 38%
Peanut Plant Research Studies
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Multiple Characteristics Criterion Based Incipient Fault Detection of Distribution Systems · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS