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DC Field | Value | Language |
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dc.contributor.author | Tong, N | - |
dc.contributor.author | Tang, Z | - |
dc.contributor.author | Wang, Y | - |
dc.contributor.author | Lai, CS | - |
dc.contributor.author | Lai, LL | - |
dc.date.accessioned | 2022-05-15T10:32:47Z | - |
dc.date.available | 2022-05-15T10:32:47Z | - |
dc.date.issued | 2022-05-11 | - |
dc.identifier | ORCID iD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 | - |
dc.identifier | 108310 | - |
dc.identifier.citation | Tong, N. et al. (2022) 'Semi AI-based protection element for MMC-MTDC using local-measurements', International Journal of Electrical Power and Energy Systems, 142, 108310, pp. 1 - 25. doi: 10.1016/j.ijepes.2022.108310. | en_US |
dc.identifier.issn | 0142-0615 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/24574 | - |
dc.description | Data Access Statement: Data supporting this study cannot be made available due to the research data are confidential, because of the arrangement the research groups have made with the commercial partner supporting the research. | en_US |
dc.description.abstract | The multi-terminal HVDC system based on the modular multilevel converter (MMC-MTDC) is a promising technique for flexible power transmissions to multiple regions. As such a system is quite sensitive to DC faults, there is an acute need to propose a protection element that can trip the local DC circuit breaker (CB) within several milliseconds once there is an internal DC line fault. However, the existing main protection scheme faces a dilemma balancing selectivity and sensitivity. To solve this problem, a novel semi artificial-intelligence (AI) based protection element is proposed, including a start-up criterion and a fault-identification criterion. The start-up criterion is based on the propagation characteristics of the initial fault-induced surge. To enhance the real-time performance of the protection element, it will not trip the fault-identification process unless the fault is identified as a forward one. The fault-identification criterion is based on artificial intelligence (AI), and further determines whether the forward fault is internal, which only works if the start-up criterion trips. Simulation results indicate that the proposed protection element has satisfactory speed, sensitivity, and selectivity against internal DC faults and is quite secure under external fault conditions. The impact of disturbances, such as the white noise, abnormal samplings, etc., on the security of the proposed protection element is also discussed. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China under Grant No. 51907069; Natural Science Foundation of Guangdong Province under Grant No. 2022A1515011079 and 2020A1515010766. | en_US |
dc.format.extent | 1 - 25 | - |
dc.format.medium | Print-Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | MMC-MTDC | en_US |
dc.subject | traveling wave | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | mains protection | en_US |
dc.title | Semi AI-based protection element for MMC-MTDC using local-measurements | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.ijepes.2022.108310 | - |
dc.relation.isPartOf | International Journal of Electrical Power and Energy Systems | - |
pubs.publication-status | Published | - |
pubs.volume | 142 | - |
dc.identifier.eissn | 1879-3517 | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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FullText.pdf | Copyright © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). | 8 MB | Adobe PDF | View/Open |
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