Fault section detection and location on distribution network using analytical voltage sags database
This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analyti...
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2006
|
| Subjects: |
| _version_ | 1825719451624931328 |
|---|---|
| author | Khalid, A.R. Mokhlis, Hazlie Li, H. |
| author_facet | Khalid, A.R. Mokhlis, Hazlie Li, H. |
| author_sort | Khalid, A.R. |
| collection | UM |
| description | This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analytical voltage sags database information for a studied distribution network. The database contains voltage sag magnitude and phase shift information of simulated fault for all nodes on the distribution network. When a fault occurs in the network, voltage sags at the monitored bus is compared to the voltage sags in the database. By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. The obtained results prove the capability of the approach in locating fault section. |
| first_indexed | 2024-03-06T05:19:56Z |
| format | Conference or Workshop Item |
| id | um.eprints-7915 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:19:56Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | um.eprints-79152018-10-15T05:54:45Z http://eprints.um.edu.my/7915/ Fault section detection and location on distribution network using analytical voltage sags database Khalid, A.R. Mokhlis, Hazlie Li, H. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents the application of voltage sags information for automatic fault section detection and location on a distribution network. Based on a network topology and load estimations obtained from load modeling, this method uses a three phase load flow and fault analysis to establish analytical voltage sags database information for a studied distribution network. The database contains voltage sag magnitude and phase shift information of simulated fault for all nodes on the distribution network. When a fault occurs in the network, voltage sags at the monitored bus is compared to the voltage sags in the database. By doing this all the possible sections due to the fault can be selected. Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. The obtained results prove the capability of the approach in locating fault section. 2006 Conference or Workshop Item PeerReviewed Khalid, A.R. and Mokhlis, Hazlie and Li, H. (2006) Fault section detection and location on distribution network using analytical voltage sags database. In: 2006 China International Conference on Electricity Distribution (CICED 2006), 2006. http://digital-library.theiet.org/content/conferences/10.1049/cp_20061894 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Khalid, A.R. Mokhlis, Hazlie Li, H. Fault section detection and location on distribution network using analytical voltage sags database |
| title | Fault section detection and location on distribution network using analytical voltage sags database |
| title_full | Fault section detection and location on distribution network using analytical voltage sags database |
| title_fullStr | Fault section detection and location on distribution network using analytical voltage sags database |
| title_full_unstemmed | Fault section detection and location on distribution network using analytical voltage sags database |
| title_short | Fault section detection and location on distribution network using analytical voltage sags database |
| title_sort | fault section detection and location on distribution network using analytical voltage sags database |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT khalidar faultsectiondetectionandlocationondistributionnetworkusinganalyticalvoltagesagsdatabase AT mokhlishazlie faultsectiondetectionandlocationondistributionnetworkusinganalyticalvoltagesagsdatabase AT lih faultsectiondetectionandlocationondistributionnetworkusinganalyticalvoltagesagsdatabase |