Deep Neural Networks based Power Flow Calculation in Distribution System Using Clustering
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이경영 | - |
dc.contributor.author | 임세헌 | - |
dc.contributor.author | 윤성국 | - |
dc.date.accessioned | 2024-03-12T09:30:58Z | - |
dc.date.available | 2024-03-12T09:30:58Z | - |
dc.date.issued | 2023-10 | - |
dc.identifier.issn | 1975-8359 | - |
dc.identifier.issn | 2287-4364 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/49273 | - |
dc.description.abstract | In distribution systems, complexity and uncertainty have increased due to the integration of distributed energy resources. Fast and accurate power flow calculation is required to operate the distribution system stably. A deep learning-based power flow calculation method was proposed using distribution system data. To improve the performance of the deep learning method, we propose a clustering-based deep learning model. The proposed method uses voltage profiles to group similar buses. Simulation result using 33-bus and 69-bus models shows that the proposed model outperforms the plain deep learning model in terms of accuracy and robustness to uncertainties. | - |
dc.format.extent | 10 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 대한전기학회 | - |
dc.title | Deep Neural Networks based Power Flow Calculation in Distribution System Using Clustering | - |
dc.title.alternative | 군집화를 통한 딥러닝 기반 배전계통 전력조류계산 | - |
dc.type | Article | - |
dc.identifier.doi | 10.5370/KIEE.2023.72.10.1139 | - |
dc.identifier.bibliographicCitation | 전기학회논문지, v.72, no.10, pp 1139 - 1148 | - |
dc.identifier.kciid | ART003004989 | - |
dc.identifier.scopusid | 2-s2.0-85176429775 | - |
dc.citation.endPage | 1148 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 1139 | - |
dc.citation.title | 전기학회논문지 | - |
dc.citation.volume | 72 | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11553859&language=ko_KR&hasTopBanner=true | - |
dc.publisher.location | 대한민국 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | Active Distribution Network | - |
dc.subject.keywordAuthor | Clustering | - |
dc.subject.keywordAuthor | Deep Learning | - |
dc.subject.keywordAuthor | Distribution System | - |
dc.subject.keywordAuthor | Power Flow Calculation | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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