A Method of Fault Section Identification in High Voltage Direct Current Using Wavelet Transform

Transmission losses are commonplace in any power system, often arising from changes in load that can be abrupt and undetermined. Such changes from actual or real values pose a danger, as they may cause power loss and damage to the power system. To prevent these issues and avoid excess loss in the transmission, various types of HVDC systems are used as they can carry huge amounts of power with the usage of a smaller number of conductors. Faults may occur in this HVDC system hence a signal processing technique called Wavelet transform is used which detects the fault signal and ensures the credibility of the power system.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1109/odicon62106.2024.10797538
Primary Topic
Power Systems Fault Detection
Type
article
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article

A Method of Fault Section Identification in High Voltage Direct Current Using Wavelet Transform

Somanath Mishra, Ritu Singh, Archana Panda, Basanta K. Panigrahi
Power Systems Fault Detection
article

A Method of Fault Section Identification in High Voltage Direct Current Using Wavelet Transform

Somanath Mishra, Ritu Singh, Archana Panda, Basanta K. Panigrahi
article en

Abstract

Transmission losses are commonplace in any power system, often arising from changes in load that can be abrupt and undetermined. Such changes from actual or real values pose a danger, as they may cause power loss and damage to the power system. To prevent these issues and avoid excess loss in the transmission, various types of HVDC systems are used as they can carry huge amounts of power with the usage of a smaller number of conductors. Faults may occur in this HVDC system hence a signal processing technique called Wavelet transform is used which detects the fault signal and ensures the credibility of the power system.

Siksha O Anusandhan University (IN), Indian Institute of Technology Bhilai (IN)
Openalex Percentile: Top 71%
Power Systems Fault Detection
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