<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-42K1C7CX/cb3c3bc5-24b4-4f9b-8082-53298bb679d8/PDF"><dcterms:extent>950 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-42K1C7CX/dce5d06d-8954-4cbe-9bfe-287a088ce216/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2013-2025"><edm:begin xml:lang="en">2013</edm:begin><edm:end xml:lang="en">2025</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-42K1C7CX"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:SPR-XAYCFMST" /><dcterms:issued>2023</dcterms:issued><dc:creator>Angelov, Jordančo</dc:creator><dc:creator>Popova, Angela</dc:creator><dc:creator>Todorovski, Mirko</dc:creator><dc:creator>Vuletić, Jovica</dc:creator><dc:format xml:lang="sl">letnik:16</dc:format><dc:format xml:lang="sl">številka:iss. 2</dc:format><dc:format xml:lang="sl">str. 23-46</dc:format><dc:identifier>COBISSID_HOST:177679363</dc:identifier><dc:identifier>ISSN:1855-5748</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-42K1C7CX</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Fakulteta za energetiko</dc:publisher><dcterms:isPartOf xml:lang="sl">JET on-line</dcterms:isPartOf><dcterms:isPartOf xml:lang="sl">Journal of energy technology</dcterms:isPartOf><dc:subject xml:lang="en">clustering optimisation</dc:subject><dc:subject xml:lang="sl">distribucijski sistem</dc:subject><dc:subject xml:lang="en">distributed generation</dc:subject><dc:subject xml:lang="en">distribution system</dc:subject><dc:subject xml:lang="sl">izgube</dc:subject><dc:subject xml:lang="en">losses</dc:subject><dc:subject xml:lang="sl">optimizacija grozdenja</dc:subject><dc:subject xml:lang="sl">porazdeljena proizvodnja</dc:subject><dc:subject xml:lang="sl">postavitev napajanja</dc:subject><dc:subject xml:lang="en">power injection placement</dc:subject><dcterms:temporal rdf:resource="2013-2025" /><dc:title xml:lang="sl">Optimal dispersed generation placement in radial distribution systems using a pattern of load flow procedure – clustering optimisation| Optimalna postavitev razpršenih virov energije v radialnih distribucijskih omrežjih po vzorcu določanja pretoka moči – optimizacija grozdenja|</dc:title><dc:description xml:lang="sl">Nowadays, distributed generation plays a vital role in distribution systems. It makes an indisputable contribution towards power loss minimisation and voltage profile improvement. To maximise the benefits of distributed generators, their location and size is of crucial importance. This paper describes the use of clustering optimisation (CO) as a highly effective method for determining the optimal placement and sizing of distributed generators. Assessment of the effectiveness from the clustering optimisation method is achieved by its demonstration on a 69-bus and 119-bus distribution systems. Furthermore, the results obtained from implementation of the proposed approach are compared to results from recent studies including analytical approaches, heuristic, and meta-heuristic, as well as mathematical programming algorithms. It is concluded that clustering optimisation is a simple and efficient method in terms of optimal allocation and sizing of distributed generators. It outweighs other approaches in terms of simplicity, results, and computation time</dc:description><dc:description xml:lang="sl">Porazdeljena proizvodnja energije dandanes igra ključno vlogo v distribucijskih sistemih, saj nesporno prispeva k zmanjšanju izgub moči in izboljšanju napetostnega profila. Da bi povečali prednosti porazdeljenih virov, sta njihova lokacija in velikost ključnega pomena. Ta članek opisuje uporabo optimizacije združevanja v grozde (CO) kot zelo učinkovito metodo za določanje optimalne postavitve in dimenzioniranja porazdeljenih virov. Oceno učinkovitosti metode optimizacije grozdenja dosežemo z njeno demonstracijo na distribucijskih sistemih z 69 in 119 zbiralkami. Poleg tega rezultate, pridobljene z izvajanjem predlaganega pristopa, primerjamo z rezultati iz nedavnih študij, vključno z analitičnimi pristopi, hevristiko in meta-hevristiko ter algoritmi matematičnega programiranja. Na ta način ugotovimo, da je optimizacija združevanja v grozde preprosta in učinkovita metoda v smislu optimalne alokacije in dimenzioniranja porazdeljenih virov ter odtehta druge pristope v preprostosti, rezultatih in času izračuna</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-42K1C7CX"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-42K1C7CX" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-42K1C7CX/cb3c3bc5-24b4-4f9b-8082-53298bb679d8/PDF" /><edm:rights rdf:resource="http://rightsstatements.org/vocab/InC/1.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Mariboru, Fakulteta za energetiko</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-42K1C7CX/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-42K1C7CX" /></ore:Aggregation></rdf:RDF>