Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorMahmoud, Karar
dc.contributor.authorAbdelnasser, Mohamed
dc.contributor.authorKashef, Heba
dc.contributor.authorPuig, Domenec
dc.contributor.authorLehtonen, Matti
dc.contributor.departmentDepartment of Electrical Engineering and Automation
dc.contributor.departmentAswan University
dc.contributor.departmentUniversidad Rovira i Virgili
dc.date.accessioned2021-09-08T06:53:46Z
dc.date.available2021-09-08T06:53:46Z
dc.date.issued2020-12
dc.description.abstractIn the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze large-scale distribution systems with a fast-computational speed. In this paper, we propose an efficient method for performing time-series simulations for unbalanced power distribution systems with PV. Unlike the existing iterative methods, the proposed method is based on machine learning. Specifically, we propose a fast, reliable and accurate method for determining energy losses in distribution systems with PV. The proposed method is applied to a large-scale unbalanced distribution system (the IEEE 906 Bus European LV Test Feeder) with PV grid-connected units. The method is validated using OpenDSS software. The results demonstrate the high accuracy and computational performance of the proposed method.en
dc.description.versionPeer revieweden
dc.format.extent7
dc.format.extent157-163
dc.format.mimetypeapplication/pdf
dc.identifier.citationMahmoud , K , Abdelnasser , M , Kashef , H , Puig , D & Lehtonen , M 2020 , ' Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics ' , INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE , vol. 6 , no. 4 , pp. 157-163 . https://doi.org/10.9781/ijimai.2020.08.002en
dc.identifier.doi10.9781/ijimai.2020.08.002
dc.identifier.issn1989-1660
dc.identifier.otherPURE UUID: 1dd4b18c-5451-41cc-9876-bfb68b4f6c49
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/1dd4b18c-5451-41cc-9876-bfb68b4f6c49
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/67183258/ELEC_Mahmoud_etal_Machine_Learning_Based_Method_for_Estimating_IJIMAI_2020.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/109824
dc.identifier.urnURN:NBN:fi:aalto-202109089052
dc.language.isoenen
dc.publisherIMAI SOLUTIONS
dc.relation.ispartofseriesINTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCEen
dc.relation.ispartofseriesVolume 6, issue 4en
dc.rightsopenAccessen
dc.titleMachine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaicsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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