RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation
Abstract Distribution networks frequently experience cross‐country failures (CCFs).This study presents research that demonstrates how Cross‐Correlation may be used to extract distinctive features from faulty current signals, hence providing a threshold‐based technique for fault identification. The m...
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Generation, Transmission & Distribution |
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| Online Access: | https://doi.org/10.1049/gtd2.12911 |
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| author | Pampa Sinha Kaushik Paul Sayanti Chatterjee Fausto Pedro García Márquez Jyotsna Ogale Ahmed Ali Baseem Khan |
| author_facet | Pampa Sinha Kaushik Paul Sayanti Chatterjee Fausto Pedro García Márquez Jyotsna Ogale Ahmed Ali Baseem Khan |
| author_sort | Pampa Sinha |
| collection | DOAJ |
| description | Abstract Distribution networks frequently experience cross‐country failures (CCFs).This study presents research that demonstrates how Cross‐Correlation may be used to extract distinctive features from faulty current signals, hence providing a threshold‐based technique for fault identification. The most challenging aspect of dealing with HIF syndrome‐related CCFs is recognizing and categorizing them. In this research, the complex, aperiodic, asymmetric, and nonlinear features of the signals generated by CCF with HIF syndrome were recovered using the Cross Correlation method. The low frequencies are filtered out using a high pass filter, leaving only the positive peak and two negative peaks in the vicinity as unique features of the correlogram. In this work, the proposed approach is put to the test on the modified imbalanced IEEE 240 Bus system. The suggested method is assessed through the lens of several different case studies, such as the switching of a capacitor bank, a reactor string, a load, a feeder, the effects of a power swing, nonlinear loads, lightly laden conditions, and measurement noise. The normal and faulty signals can be distinguished by their normalized QRS levels. By selecting the most appropriate sensors using the Jellyfish optimization method, we were also able to ascertain which bus housed CCHIF. |
| format | Article |
| id | doaj-art-df4c9b1d2362417eb849801bc8f73fa0 |
| institution | DOAJ |
| issn | 1751-8687 1751-8695 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj-art-df4c9b1d2362417eb849801bc8f73fa02025-08-20T02:48:17ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952024-12-0118244192420810.1049/gtd2.12911RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlationPampa Sinha0Kaushik Paul1Sayanti Chatterjee2Fausto Pedro García Márquez3Jyotsna Ogale4Ahmed Ali5Baseem Khan6Department of Electrical Engineering KIIT University Bhubaneswar IndiaDepartment of Electrical Engineering BIT Sindri DhanbadIndiaInstitute of Aeronautical Engineering HyderabadIndiaIngenium Research Group University of Castilla‐La Mancha Ciudad RealSpainDepartment of Electronics Engineering Samrat Ashok Technological Institute VidishaIndiaDepartment of Electrical and Electronic Engineering Technology Faculty of Engineering and the Built Environment University of Johannesburg Auckland ParkSouth AfricaDepartment of Electrical and Electronic Engineering Technology Faculty of Engineering and the Built Environment University of Johannesburg Auckland ParkSouth AfricaAbstract Distribution networks frequently experience cross‐country failures (CCFs).This study presents research that demonstrates how Cross‐Correlation may be used to extract distinctive features from faulty current signals, hence providing a threshold‐based technique for fault identification. The most challenging aspect of dealing with HIF syndrome‐related CCFs is recognizing and categorizing them. In this research, the complex, aperiodic, asymmetric, and nonlinear features of the signals generated by CCF with HIF syndrome were recovered using the Cross Correlation method. The low frequencies are filtered out using a high pass filter, leaving only the positive peak and two negative peaks in the vicinity as unique features of the correlogram. In this work, the proposed approach is put to the test on the modified imbalanced IEEE 240 Bus system. The suggested method is assessed through the lens of several different case studies, such as the switching of a capacitor bank, a reactor string, a load, a feeder, the effects of a power swing, nonlinear loads, lightly laden conditions, and measurement noise. The normal and faulty signals can be distinguished by their normalized QRS levels. By selecting the most appropriate sensors using the Jellyfish optimization method, we were also able to ascertain which bus housed CCHIF.https://doi.org/10.1049/gtd2.12911distribution networksfault diagnosispower distribution faults |
| spellingShingle | Pampa Sinha Kaushik Paul Sayanti Chatterjee Fausto Pedro García Márquez Jyotsna Ogale Ahmed Ali Baseem Khan RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation IET Generation, Transmission & Distribution distribution networks fault diagnosis power distribution faults |
| title | RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation |
| title_full | RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation |
| title_fullStr | RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation |
| title_full_unstemmed | RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation |
| title_short | RETRACTED: Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation |
| title_sort | retracted cross country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross correlation |
| topic | distribution networks fault diagnosis power distribution faults |
| url | https://doi.org/10.1049/gtd2.12911 |
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