A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter
This paper presents a Morphology Gradient (MG) filter-based method for detecting High Impedance Faults (HIFs) from non-HIF events. A MG filter is used to extract the statistical features of the current signal. Then, a Random Forest (RF) rule set is created from the statistical features. These rules...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-03-01
|
| Series: | Journal of King Saud University: Engineering Sciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1018363918303660 |
| _version_ | 1818601844216168448 |
|---|---|
| author | Kavaskar Sekar Nalin Kant Mohanty |
| author_facet | Kavaskar Sekar Nalin Kant Mohanty |
| author_sort | Kavaskar Sekar |
| collection | DOAJ |
| description | This paper presents a Morphology Gradient (MG) filter-based method for detecting High Impedance Faults (HIFs) from non-HIF events. A MG filter is used to extract the statistical features of the current signal. Then, a Random Forest (RF) rule set is created from the statistical features. These rules are with crisp boundary values. Hence, fuzzy membership functions and a fuzzy rule base is developed to discriminate HIF from non-HIF events. From the results of the proposed method, it is found that the method could detect and differentiate HIFs from normal system events with high dependability. Characteristics of the proposed method are analyzed through a broad simulation study of an actual distribution system and found that this method is capable of detecting HIF with negligible effect of variation in operating conditions. Keywords: High Impedance Fault, Morphology Gradient, Random Forest, Fuzzy rule base, Non-linear load |
| first_indexed | 2024-12-16T12:57:50Z |
| format | Article |
| id | doaj.art-f1b1b51cf7354e8a8e1fb6009179bf69 |
| institution | Directory Open Access Journal |
| issn | 1018-3639 |
| language | English |
| last_indexed | 2024-12-16T12:57:50Z |
| publishDate | 2020-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Engineering Sciences |
| spelling | doaj.art-f1b1b51cf7354e8a8e1fb6009179bf692022-12-21T22:30:58ZengElsevierJournal of King Saud University: Engineering Sciences1018-36392020-03-01323177185A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filterKavaskar Sekar0Nalin Kant Mohanty1Department of Electrical and Electronics Engineering, Anna University, Chennai 600026, Tamil Nadu, India; Corresponding author.Department of Electrical and Electronics Engineering, Sri Venkateswara College of Engineering, Sriperumbudur 602 117, Tamil Nadu, IndiaThis paper presents a Morphology Gradient (MG) filter-based method for detecting High Impedance Faults (HIFs) from non-HIF events. A MG filter is used to extract the statistical features of the current signal. Then, a Random Forest (RF) rule set is created from the statistical features. These rules are with crisp boundary values. Hence, fuzzy membership functions and a fuzzy rule base is developed to discriminate HIF from non-HIF events. From the results of the proposed method, it is found that the method could detect and differentiate HIFs from normal system events with high dependability. Characteristics of the proposed method are analyzed through a broad simulation study of an actual distribution system and found that this method is capable of detecting HIF with negligible effect of variation in operating conditions. Keywords: High Impedance Fault, Morphology Gradient, Random Forest, Fuzzy rule base, Non-linear loadhttp://www.sciencedirect.com/science/article/pii/S1018363918303660 |
| spellingShingle | Kavaskar Sekar Nalin Kant Mohanty A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter Journal of King Saud University: Engineering Sciences |
| title | A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter |
| title_full | A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter |
| title_fullStr | A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter |
| title_full_unstemmed | A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter |
| title_short | A fuzzy rule base approach for High Impedance Fault detection in distribution system using Morphology Gradient filter |
| title_sort | fuzzy rule base approach for high impedance fault detection in distribution system using morphology gradient filter |
| url | http://www.sciencedirect.com/science/article/pii/S1018363918303660 |
| work_keys_str_mv | AT kavaskarsekar afuzzyrulebaseapproachforhighimpedancefaultdetectionindistributionsystemusingmorphologygradientfilter AT nalinkantmohanty afuzzyrulebaseapproachforhighimpedancefaultdetectionindistributionsystemusingmorphologygradientfilter AT kavaskarsekar fuzzyrulebaseapproachforhighimpedancefaultdetectionindistributionsystemusingmorphologygradientfilter AT nalinkantmohanty fuzzyrulebaseapproachforhighimpedancefaultdetectionindistributionsystemusingmorphologygradientfilter |