dc.contributor.author | Kiel, Erlend Sandø | |
dc.contributor.author | Jakobsen, Sigurd Hofsmo | |
dc.contributor.author | Haugen, Eirik | |
dc.contributor.author | Lundemo, Sondre Duna | |
dc.contributor.author | Riemer-Sørensen, Signe | |
dc.contributor.author | Remonato, Filippo | |
dc.date.accessioned | 2023-01-26T16:39:21Z | |
dc.date.available | 2023-01-26T16:39:21Z | |
dc.date.created | 2022-07-19T11:19:52Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | 2022 17th International Conference on Probabilistic Methods Applied to Power Systems - PMAPS. | en_US |
dc.identifier.isbn | 978-1-6654-1211-7 | |
dc.identifier.uri | https://hdl.handle.net/11250/3046692 | |
dc.description.abstract | An unexpected failure or outage of one or multiple system components can cause a new operational situation that requires remedial actions. An important remedial action to model correctly is islanding. Finding the transient stability of an island is computationally heavy, and it may be necessary with a trade-off between speed and accuracy in the classification of island stability. This is especially the case if one has to perform a large number of simulations.In this paper, a decision tree based ensemble method is used to predict the stability of islands in the power system during a contingency event. A comparison study shows that the trained model can contribute with a large reduction in time spent on the transient stability assessment, while being substantially more accurate than a static power flow simulation. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2022 17th International Conference on Probabilistic Methods Applied to Power Systems - PMAPS | |
dc.subject | Machine learning | en_US |
dc.subject | Power system stability | en_US |
dc.subject | Power system dynamics | en_US |
dc.subject | Reliability | en_US |
dc.title | A tree based classifier for transient stability prediction following island splitting | en_US |
dc.title.alternative | A tree based classifier for transient stability prediction following island splitting | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.identifier.doi | 10.1109/PMAPS53380.2022.9810650 | |
dc.identifier.cristin | 2038757 | |
dc.relation.project | Norges forskningsråd: 294754 | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |