Assessment of Load and Generation Modelling on the Quasi-Static Analysis of Distribution Networks
| dc.contributor.author | Lamprianidou, I. S. | |
| dc.contributor.author | Papadopoulos, T. A. | |
| dc.contributor.author | Kryonidis, G. C. | |
| dc.contributor.author | Yetkin, E. Fatih | |
| dc.contributor.author | Pippi, K. D. | |
| dc.contributor.author | Chrysochos, A., I | |
| dc.contributor.other | Business Administration | |
| dc.contributor.other | 01. Kadir Has University | |
| dc.date.accessioned | 2023-10-19T15:11:40Z | |
| dc.date.available | 2023-10-19T15:11:40Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Quasi-static analysis of power systems can be performed by means of timeseries-based and probability density function-based models. In this paper, the effect of different load and generation modelling approaches on the quasi-static analysis of distribution networks is investigated. Different simplified load and distributed renewable energy sources generation timeseries-based models are considered as well as probabilistic analysis. Moreover, a more sophisticated approach based on cluster analysis is introduced to identify harmonized sets of representative load and generation patterns. To determine the optimum number of clusters, a three-step methodology is proposed. The examined cases include the quasi-static analysis of distribution networks for different operational conditions to identify the simplified modelling approaches that can efficiently predict the network voltages and losses. Finally, the computational efficiency by using the simplified models is evaluated in temperature-dependent power flow analysis of distribution networks. (C) 2021 Elsevier Ltd. All rights reserved. | en_US |
| dc.description.sponsorship | Hellenic Foundation for Research and Innovation [HFRI-FM-17229] | en_US |
| dc.description.sponsorship | The research work was supported by the Hellenic Foundation for Research and Innovation (H.F.R.I.) , Greece under the First Call for H.F.R.I. Research Projects to support Faculty members and Re-searchers and the procurement of high-cost research equipment grant (Project Number: HFRI-FM-17229) . | en_US |
| dc.identifier.citationcount | 3 | |
| dc.identifier.doi | 10.1016/j.segan.2021.100509 | en_US |
| dc.identifier.issn | 2352-4677 | |
| dc.identifier.scopus | 2-s2.0-85111263267 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.segan.2021.100509 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/5163 | |
| dc.khas | 20231019-WoS | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.relation.ispartof | Sustainable Energy Grids & Networks | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Pattern-Recognition | En_Us |
| dc.subject | Time-Series | En_Us |
| dc.subject | Power-Flow | En_Us |
| dc.subject | Reanalysis | En_Us |
| dc.subject | Energy | En_Us |
| dc.subject | Clustering | en_US |
| dc.subject | Pattern-Recognition | |
| dc.subject | Distributed generation modelling | en_US |
| dc.subject | Time-Series | |
| dc.subject | Load modelling | en_US |
| dc.subject | Power-Flow | |
| dc.subject | Load timeseries | en_US |
| dc.subject | Reanalysis | |
| dc.subject | Photovoltaic systems | en_US |
| dc.subject | Energy | |
| dc.subject | Wind turbines | en_US |
| dc.title | Assessment of Load and Generation Modelling on the Quasi-Static Analysis of Distribution Networks | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | Kryonidis, Georgios/0000-0002-7593-1761 | |
| gdc.author.id | Chrysochos, Andreas/0000-0002-5712-3859 | |
| gdc.author.id | Yetkin, E. Fatih/0000-0003-1115-4454 | |
| gdc.author.id | Pippi, Kalliopi/0000-0002-0931-284X | |
| gdc.author.id | Papadopoulos, Theofilos/0000-0001-6384-1964 | |
| gdc.author.institutional | Yetkin, Emrullah Fatih | |
| gdc.author.wosid | Kryonidis, Georgios/E-8497-2016 | |
| gdc.bip.impulseclass | C4 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.description.departmenttemp | [Lamprianidou, I. S.; Papadopoulos, T. A.; Pippi, K. D.] Democritus Univ Thrace, Dept Elect & Comp Engn, Xanthi 67100, Greece; [Kryonidis, G. C.] Aristotle Univ Thessaloniki, Sch Elect & Comp Engn, Thessaloniki 54124, Greece; [Yetkin, E. Fatih] Kadir Has Univ, Management Informat Syst Dept, Istanbul, Turkey; [Chrysochos, A., I] Hellen Cables, R&D Dept, Athens 15125, Greece | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 100509 | |
| gdc.description.volume | 27 | en_US |
| gdc.description.wosquality | Q1 | |
| gdc.identifier.openalex | W3173753792 | |
| gdc.identifier.wos | WOS:000687444900007 | en_US |
| gdc.oaire.diamondjournal | false | |
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| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | Energy | |
| gdc.oaire.keywords | Reanalysis | |
| gdc.oaire.keywords | Pattern-Recognition | |
| gdc.oaire.keywords | Clustering | |
| gdc.oaire.keywords | Load modelling | |
| gdc.oaire.keywords | Distributed generation modelling | |
| gdc.oaire.keywords | Wind turbines | |
| gdc.oaire.keywords | Time-Series | |
| gdc.oaire.keywords | Load timeseries | |
| gdc.oaire.keywords | Photovoltaic systems | |
| gdc.oaire.keywords | Power-Flow | |
| gdc.oaire.popularity | 9.420054E-9 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0211 other engineering and technologies | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
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| gdc.opencitations.count | 8 | |
| gdc.plumx.crossrefcites | 3 | |
| gdc.plumx.mendeley | 9 | |
| gdc.plumx.scopuscites | 9 | |
| gdc.scopus.citedcount | 9 | |
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