High impedance fault location in 11 kV underground distribution systems using wavelet transforms
Detecting and locating high impedance fault (HIF) in distribution system is a crucial task. HIF causes insulation degradation and over time will lead to supply interruptions. However, it is quite challenging to locate HIF since changes of voltage or current signal during the fault is insignificant a...
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | 論文 |
| 出版事項: |
Elsevier
2014
|
| 主題: |
| _version_ | 1825720080101539840 |
|---|---|
| author | Bakar, Ab Halim Abu Ali, M.S. Tan, Chia Kwang Mokhlis, Hazlie Arof, Hamzah |
| author_facet | Bakar, Ab Halim Abu Ali, M.S. Tan, Chia Kwang Mokhlis, Hazlie Arof, Hamzah |
| author_sort | Bakar, Ab Halim Abu |
| collection | UM |
| description | Detecting and locating high impedance fault (HIF) in distribution system is a crucial task. HIF causes insulation degradation and over time will lead to supply interruptions. However, it is quite challenging to locate HIF since changes of voltage or current signal during the fault is insignificant and not able to trigger protection system. Besides, the complexity of the distribution system such as non-homogenous line and lateral with branches increase the difficulty in detecting and locating HIF. Considering these issues, this paper presents a method to detect and locate HIF based on Discrete Wavelet Transform (DWT) Multi-Resolution Analysis. In the method, fault features from voltages measured at primary substation are extracted using DWT and matched with the pre-developed database from simulation. Due to single measurement and multiple branches, the matching will produce multiple possible faulted sections. This problem is then solved by applying ranking analysis to rank the possible faulted sections from the most likely to the least likely faulted section. The proposed method has been tested with all types of faults on a 38-node distribution network system in Malaysia using the PSCAD/EMTDC software. The test results revealed the effectiveness of the method. Since only single measurement of voltage signal is needed, the method is considered economical for practical implementation. |
| first_indexed | 2024-03-06T05:29:33Z |
| format | Article |
| id | um.eprints-11773 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:29:33Z |
| publishDate | 2014 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | um.eprints-117732018-10-11T03:56:48Z http://eprints.um.edu.my/11773/ High impedance fault location in 11 kV underground distribution systems using wavelet transforms Bakar, Ab Halim Abu Ali, M.S. Tan, Chia Kwang Mokhlis, Hazlie Arof, Hamzah TA Engineering (General). Civil engineering (General) Detecting and locating high impedance fault (HIF) in distribution system is a crucial task. HIF causes insulation degradation and over time will lead to supply interruptions. However, it is quite challenging to locate HIF since changes of voltage or current signal during the fault is insignificant and not able to trigger protection system. Besides, the complexity of the distribution system such as non-homogenous line and lateral with branches increase the difficulty in detecting and locating HIF. Considering these issues, this paper presents a method to detect and locate HIF based on Discrete Wavelet Transform (DWT) Multi-Resolution Analysis. In the method, fault features from voltages measured at primary substation are extracted using DWT and matched with the pre-developed database from simulation. Due to single measurement and multiple branches, the matching will produce multiple possible faulted sections. This problem is then solved by applying ranking analysis to rank the possible faulted sections from the most likely to the least likely faulted section. The proposed method has been tested with all types of faults on a 38-node distribution network system in Malaysia using the PSCAD/EMTDC software. The test results revealed the effectiveness of the method. Since only single measurement of voltage signal is needed, the method is considered economical for practical implementation. Elsevier 2014-02 Article PeerReviewed Bakar, Ab Halim Abu and Ali, M.S. and Tan, Chia Kwang and Mokhlis, Hazlie and Arof, Hamzah (2014) High impedance fault location in 11 kV underground distribution systems using wavelet transforms. International Journal of Electrical Power & Energy Systems, 55. pp. 723-730. ISSN 0142-0615, DOI https://doi.org/10.1016/j.ijepes.2013.10.003 <https://doi.org/10.1016/j.ijepes.2013.10.003>. http://www.sciencedirect.com/science/article/pii/S0142061513004195 http://dx.doi.org/10.1016/j.ijepes.2013.10.003 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Bakar, Ab Halim Abu Ali, M.S. Tan, Chia Kwang Mokhlis, Hazlie Arof, Hamzah High impedance fault location in 11 kV underground distribution systems using wavelet transforms |
| title | High impedance fault location in 11 kV underground distribution systems using wavelet transforms |
| title_full | High impedance fault location in 11 kV underground distribution systems using wavelet transforms |
| title_fullStr | High impedance fault location in 11 kV underground distribution systems using wavelet transforms |
| title_full_unstemmed | High impedance fault location in 11 kV underground distribution systems using wavelet transforms |
| title_short | High impedance fault location in 11 kV underground distribution systems using wavelet transforms |
| title_sort | high impedance fault location in 11 kv underground distribution systems using wavelet transforms |
| topic | TA Engineering (General). Civil engineering (General) |
| work_keys_str_mv | AT bakarabhalimabu highimpedancefaultlocationin11kvundergrounddistributionsystemsusingwavelettransforms AT alims highimpedancefaultlocationin11kvundergrounddistributionsystemsusingwavelettransforms AT tanchiakwang highimpedancefaultlocationin11kvundergrounddistributionsystemsusingwavelettransforms AT mokhlishazlie highimpedancefaultlocationin11kvundergrounddistributionsystemsusingwavelettransforms AT arofhamzah highimpedancefaultlocationin11kvundergrounddistributionsystemsusingwavelettransforms |