Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests
In this paper, an approach is proposed for accurate locating of single phase faults in transmission lines using voltage signals measured at one-end. In this method, harmonic components of the voltage signals are extracted through Discrete Fourier Transform (DFT) and are normalized by a transformatio...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Iran University of Science and Technology
2013-09-01
|
| Series: | Iranian Journal of Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-863-3&slc_lang=en&sid=1 |
| _version_ | 1819050341101993984 |
|---|---|
| author | M. Farshad J. Sadeh |
| author_facet | M. Farshad J. Sadeh |
| author_sort | M. Farshad |
| collection | DOAJ |
| description | In this paper, an approach is proposed for accurate locating of single phase faults in transmission lines using voltage signals measured at one-end. In this method, harmonic components of the voltage signals are extracted through Discrete Fourier Transform (DFT) and are normalized by a transformation. The proposed fault locator, which is designed based on Random Forests (RF) algorithm, is trained based on these normalized harmonic components. RF algorithm has the capability of learning patterns with a large number of features. The proposed approach only requires voltage signals measured at one-end hence, there are not problems of transmitting and synchronization of two-end data. In addition, current measurement is not required and the proposed approach is sheltered against current transformer errors and its saturation. No need for very high sampling frequency is another advantage of the proposed approach. Numerous tests carried out on a sample system indicate that accuracy of the proposed fault locator is secure against changing fault location, fault inception angle, fault resistance, and magnitude and direction of pre-fault load current. An average of 0.11% is obtained for the fault locating test errors. |
| first_indexed | 2024-12-21T11:46:30Z |
| format | Article |
| id | doaj.art-47ce0772d3e94f1b848843b00812fd64 |
| institution | Directory Open Access Journal |
| issn | 1735-2827 2383-3890 |
| language | English |
| last_indexed | 2024-12-21T11:46:30Z |
| publishDate | 2013-09-01 |
| publisher | Iran University of Science and Technology |
| record_format | Article |
| series | Iranian Journal of Electrical and Electronic Engineering |
| spelling | doaj.art-47ce0772d3e94f1b848843b00812fd642022-12-21T19:05:10ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902013-09-0193158166Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random ForestsM. Farshad0J. Sadeh1 Electrical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad Electrical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad In this paper, an approach is proposed for accurate locating of single phase faults in transmission lines using voltage signals measured at one-end. In this method, harmonic components of the voltage signals are extracted through Discrete Fourier Transform (DFT) and are normalized by a transformation. The proposed fault locator, which is designed based on Random Forests (RF) algorithm, is trained based on these normalized harmonic components. RF algorithm has the capability of learning patterns with a large number of features. The proposed approach only requires voltage signals measured at one-end hence, there are not problems of transmitting and synchronization of two-end data. In addition, current measurement is not required and the proposed approach is sheltered against current transformer errors and its saturation. No need for very high sampling frequency is another advantage of the proposed approach. Numerous tests carried out on a sample system indicate that accuracy of the proposed fault locator is secure against changing fault location, fault inception angle, fault resistance, and magnitude and direction of pre-fault load current. An average of 0.11% is obtained for the fault locating test errors.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-863-3&slc_lang=en&sid=1Fault location Transmission lines Random Forests Harmonic components |
| spellingShingle | M. Farshad J. Sadeh Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests Iranian Journal of Electrical and Electronic Engineering Fault location Transmission lines Random Forests Harmonic components |
| title | Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests |
| title_full | Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests |
| title_fullStr | Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests |
| title_full_unstemmed | Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests |
| title_short | Fault Locating in High Voltage Transmission Lines Based on Harmonic Components of One-end Voltage Using Random Forests |
| title_sort | fault locating in high voltage transmission lines based on harmonic components of one end voltage using random forests |
| topic | Fault location Transmission lines Random Forests Harmonic components |
| url | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-863-3&slc_lang=en&sid=1 |
| work_keys_str_mv | AT mfarshad faultlocatinginhighvoltagetransmissionlinesbasedonharmoniccomponentsofoneendvoltageusingrandomforests AT jsadeh faultlocatinginhighvoltagetransmissionlinesbasedonharmoniccomponentsofoneendvoltageusingrandomforests |