Generic Dynamic Load Modelling Using Cluster Analysis
| gdc.relation.journal | 53rd International Universities Power Engineering Conference (UPEC) | en_US |
| dc.contributor.author | Barzegkar-Ntovom, Georgios A. | |
| dc.contributor.author | Ceylan, Oğuzhan | |
| dc.contributor.author | Papadopoulos, Theofilos A. | |
| dc.contributor.author | Yetkin, E. Fatih | |
| dc.date.accessioned | 2019-06-27T08:00:52Z | |
| dc.date.available | 2019-06-27T08:00:52Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | In this paper a new generic load modelling procedure is proposed based on the application of cluster analysis on load model parameters identified from measured dynamic responses. The performance of the proposed approach is assessed using measurements obtained from a low-voltage laboratory scale test configuration. In order to develop robust generalized load models applicable to a wide range of operating conditions different load compositions operating conditions and voltage disturbances are considered in the analysis. The findings of this paper verify the validity of the proposed generic modelling procedure and indicate robust results using the proposed methodology. | en_US] |
| dc.identifier.citationcount | 4 | |
| dc.identifier.doi | 10.1109/UPEC.2018.8541940 | en_US |
| dc.identifier.isbn | 978-1-5386-2910-9 | |
| dc.identifier.scopus | 2-s2.0-85059947821 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/133 | |
| dc.identifier.uri | https://doi.org/10.1109/UPEC.2018.8541940 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | 2018 53rd International Universities Power Engineering Conference (UPEC) | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Clustering | en_US |
| dc.subject | Fuzzy C-means | en_US |
| dc.subject | Generic load modelling | en_US |
| dc.subject | k-means plus | en_US |
| dc.subject | k-medoids | en_US |
| dc.subject | Meta-heuristic algorithms | en_US |
| dc.title | Generic Dynamic Load Modelling Using Cluster Analysis | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Ceylan, Oğuzhan | en_US |
| gdc.author.institutional | Ceylan, Oğuzhan | |
| gdc.author.institutional | Yetkin, Emrullah Fatih | |
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| gdc.description.department | Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü | en_US |
| gdc.description.endpage | 6 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1 | |
| gdc.identifier.openalex | W2904441260 | |
| gdc.identifier.wos | WOS:000468972100088 | en_US |
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| gdc.oaire.keywords | Meta-heuristic algorithms | |
| gdc.oaire.keywords | k-medoids | |
| gdc.oaire.keywords | k-means plus | |
| gdc.oaire.keywords | Fuzzy C-means | |
| gdc.oaire.keywords | Clustering | |
| gdc.oaire.keywords | Generic load modelling | |
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