High impedance fault detection in radial distribution network using discrete wavelet transform technique
Detecting high impedance faults (HIFs) is one of the challenging issues for electrical engineers. This type of fault occurs often when one of the overhead conductors is downed and makes contact with the ground, causing a high-voltage conductor to be within the reach of personnel. As the wavelet tran...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2021-11-01
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| Series: | Archives of Electrical Engineering |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/121585/PDF/art10.pdf |
| _version_ | 1818490004430651392 |
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| author | Mohammed Yahya Suliman Mahmood Taha Alkhayyat |
| author_facet | Mohammed Yahya Suliman Mahmood Taha Alkhayyat |
| author_sort | Mohammed Yahya Suliman |
| collection | DOAJ |
| description | Detecting high impedance faults (HIFs) is one of the challenging issues for electrical engineers. This type of fault occurs often when one of the overhead conductors is downed and makes contact with the ground, causing a high-voltage conductor to be within the reach of personnel. As the wavelet transform (WT) technique is a powerful tool for transient analysis of fault signals and gives information both on the time domain and frequency domain, this technique has been considered for an unconventional fault like high impedance fault. This paper presents a new technique that utilizes the features of energy contents in detail coefficients (D4 and D5) from the extracted current signal using a discrete wavelet transform in the multiresolution analysis (MRA). The adaptive neurofuzzy inference system (ANFIS) is utilized as a machine learning technique to discriminate HIF from other transient phenomena such as capacitor or load switching, the new protection designed scheme is fully analyzed using MATLAB feeding practical fault data. Simulation studies reveal that the proposed protection is able to detect HIFs in a distribution network with high reliability and can successfully differentiate high impedance faults from other transients. |
| first_indexed | 2024-12-10T17:11:24Z |
| format | Article |
| id | doaj.art-484202790c9d4dd7af9c56823916c147 |
| institution | Directory Open Access Journal |
| issn | 2300-2506 |
| language | English |
| last_indexed | 2024-12-10T17:11:24Z |
| publishDate | 2021-11-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Electrical Engineering |
| spelling | doaj.art-484202790c9d4dd7af9c56823916c1472022-12-22T01:40:18ZengPolish Academy of SciencesArchives of Electrical Engineering2300-25062021-11-01vol. 70No 4873886https://doi.org/10.24425/aee.2021.138267High impedance fault detection in radial distribution network using discrete wavelet transform techniqueMohammed Yahya Suliman0Mahmood Taha Alkhayyat1Northern Technical University, IraqNorthern Technical University, IraqDetecting high impedance faults (HIFs) is one of the challenging issues for electrical engineers. This type of fault occurs often when one of the overhead conductors is downed and makes contact with the ground, causing a high-voltage conductor to be within the reach of personnel. As the wavelet transform (WT) technique is a powerful tool for transient analysis of fault signals and gives information both on the time domain and frequency domain, this technique has been considered for an unconventional fault like high impedance fault. This paper presents a new technique that utilizes the features of energy contents in detail coefficients (D4 and D5) from the extracted current signal using a discrete wavelet transform in the multiresolution analysis (MRA). The adaptive neurofuzzy inference system (ANFIS) is utilized as a machine learning technique to discriminate HIF from other transient phenomena such as capacitor or load switching, the new protection designed scheme is fully analyzed using MATLAB feeding practical fault data. Simulation studies reveal that the proposed protection is able to detect HIFs in a distribution network with high reliability and can successfully differentiate high impedance faults from other transients.https://journals.pan.pl/Content/121585/PDF/art10.pdfhigh impedance fault (hif)multiresolution analysis (mra)overcurrent relaydiscrete wavelet transform (dwt) |
| spellingShingle | Mohammed Yahya Suliman Mahmood Taha Alkhayyat High impedance fault detection in radial distribution network using discrete wavelet transform technique Archives of Electrical Engineering high impedance fault (hif) multiresolution analysis (mra) overcurrent relay discrete wavelet transform (dwt) |
| title | High impedance fault detection in radial distribution network using discrete wavelet transform technique |
| title_full | High impedance fault detection in radial distribution network using discrete wavelet transform technique |
| title_fullStr | High impedance fault detection in radial distribution network using discrete wavelet transform technique |
| title_full_unstemmed | High impedance fault detection in radial distribution network using discrete wavelet transform technique |
| title_short | High impedance fault detection in radial distribution network using discrete wavelet transform technique |
| title_sort | high impedance fault detection in radial distribution network using discrete wavelet transform technique |
| topic | high impedance fault (hif) multiresolution analysis (mra) overcurrent relay discrete wavelet transform (dwt) |
| url | https://journals.pan.pl/Content/121585/PDF/art10.pdf |
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