Fault location for MMC–MTDC transmission lines based on least squares-support vector regression
The dc transmission line protection plays a crucial role in the secure operation of a multi-terminal modular-multilevel-converter-based high-voltage direct current (MMC–MTDC) system, which is increasingly adopted as a promising option in the power transmission fields. However, the MTDC is the most v...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-04-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8640 |
| _version_ | 1831695507143000064 |
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| author | Mingguang Zhang Heng Wang |
| author_facet | Mingguang Zhang Heng Wang |
| author_sort | Mingguang Zhang |
| collection | DOAJ |
| description | The dc transmission line protection plays a crucial role in the secure operation of a multi-terminal modular-multilevel-converter-based high-voltage direct current (MMC–MTDC) system, which is increasingly adopted as a promising option in the power transmission fields. However, the MTDC is the most vulnerable to a dc fault, which paralyses all of the MMCs until the dc fault is cleared out. It is a huge challenge that how to locate and isolate dc fault current and ensure the continuous operation of the healthy part of the MMC–MTDC system under dc faults. This study proposes a least-squares-based ɛ-support vector regression scheme, which captures fault features via the Hilbert–Huang transform. Fault features are used as the inputs of ɛ-support vector regression to obtain fault distance. Then, least-squares method is utilised to optimise the parameters of the model so that it can meet the demand on fault location for MMC–MTDC transmission lines. In the end, the simulation model of the multi-terminal MMC–HVDC system using PSCAD/EMTDC is built to demonstrate that the proposed method has well reliability and accuracy for fault location. |
| first_indexed | 2024-12-20T12:56:12Z |
| format | Article |
| id | doaj.art-3a40bb2745ae4bb387da1a6e2297a854 |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-20T12:56:12Z |
| publishDate | 2019-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-3a40bb2745ae4bb387da1a6e2297a8542022-12-21T19:40:04ZengWileyThe Journal of Engineering2051-33052019-04-0110.1049/joe.2018.8640JOE.2018.8640Fault location for MMC–MTDC transmission lines based on least squares-support vector regressionMingguang Zhang0Heng Wang1School of Electrical and Information Engineering, Lanzhou University of TechnologySchool of Electrical and Information Engineering, Lanzhou University of TechnologyThe dc transmission line protection plays a crucial role in the secure operation of a multi-terminal modular-multilevel-converter-based high-voltage direct current (MMC–MTDC) system, which is increasingly adopted as a promising option in the power transmission fields. However, the MTDC is the most vulnerable to a dc fault, which paralyses all of the MMCs until the dc fault is cleared out. It is a huge challenge that how to locate and isolate dc fault current and ensure the continuous operation of the healthy part of the MMC–MTDC system under dc faults. This study proposes a least-squares-based ɛ-support vector regression scheme, which captures fault features via the Hilbert–Huang transform. Fault features are used as the inputs of ɛ-support vector regression to obtain fault distance. Then, least-squares method is utilised to optimise the parameters of the model so that it can meet the demand on fault location for MMC–MTDC transmission lines. In the end, the simulation model of the multi-terminal MMC–HVDC system using PSCAD/EMTDC is built to demonstrate that the proposed method has well reliability and accuracy for fault location.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8640fault locationpower transmission protectionpower system simulationpower transmission faultsregression analysisfault currentspower convertorssupport vector machinesHilbert transformsleast squares approximationsDC power transmissionpower engineering computingfault locationMMC–MTDC transmission linessquares-support vector regressiondc transmission line protectionmultiterminal modular-multilevel-converter-based high-voltagedirect current systempower transmission fieldsdc faultfault currentMMC–MTDC systemfault featuresfault distancemultiterminal MMC–HVDC systemleast-squares-based-support vector regression scheme |
| spellingShingle | Mingguang Zhang Heng Wang Fault location for MMC–MTDC transmission lines based on least squares-support vector regression The Journal of Engineering fault location power transmission protection power system simulation power transmission faults regression analysis fault currents power convertors support vector machines Hilbert transforms least squares approximations DC power transmission power engineering computing fault location MMC–MTDC transmission lines squares-support vector regression dc transmission line protection multiterminal modular-multilevel-converter-based high-voltage direct current system power transmission fields dc fault fault current MMC–MTDC system fault features fault distance multiterminal MMC–HVDC system least-squares-based-support vector regression scheme |
| title | Fault location for MMC–MTDC transmission lines based on least squares-support vector regression |
| title_full | Fault location for MMC–MTDC transmission lines based on least squares-support vector regression |
| title_fullStr | Fault location for MMC–MTDC transmission lines based on least squares-support vector regression |
| title_full_unstemmed | Fault location for MMC–MTDC transmission lines based on least squares-support vector regression |
| title_short | Fault location for MMC–MTDC transmission lines based on least squares-support vector regression |
| title_sort | fault location for mmc mtdc transmission lines based on least squares support vector regression |
| topic | fault location power transmission protection power system simulation power transmission faults regression analysis fault currents power convertors support vector machines Hilbert transforms least squares approximations DC power transmission power engineering computing fault location MMC–MTDC transmission lines squares-support vector regression dc transmission line protection multiterminal modular-multilevel-converter-based high-voltage direct current system power transmission fields dc fault fault current MMC–MTDC system fault features fault distance multiterminal MMC–HVDC system least-squares-based-support vector regression scheme |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8640 |
| work_keys_str_mv | AT mingguangzhang faultlocationformmcmtdctransmissionlinesbasedonleastsquaressupportvectorregression AT hengwang faultlocationformmcmtdctransmissionlinesbasedonleastsquaressupportvectorregression |