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dc.contributor.authorRadosavljević, Jordan
dc.contributor.authorArsić, Nebojša
dc.contributor.authorMilovanović, Miloš
dc.contributor.authorKtena, Aphrodite
dc.date.accessioned2022-09-21T06:51:18Z
dc.date.available2022-09-21T06:51:18Z
dc.date.issued2020-05
dc.identifier.citationTR33046en_US
dc.identifier.urihttps://platon.pr.ac.rs/handle/123456789/529
dc.description.abstractThe problem of optimal placement and sizing (OPS) of renewable distributed generation (RDG) is followed by numerous technical, economical, geographical, and ecological constraints. In this paper, it is investigated from two view‐ points, namely the simultaneous minimization of total energy loss of a distribution network and the maximization of profit for RDG owner. The stochastic nature of RDG such as the wind turbine and photovoltaic generation is accounted using suitable probabilistic models. To solve this problem, a hybrid meta‐ heuristic algorithm is proposed, which is a combination of the phasor particle swarm optimization and the gravitational search algorithm. The proposed algorithm is tested on an IEEE 69-bus system for several cases in two scenarios. The results ob‐ tained by the hybrid algorithm shows that it provides high-qual‐ ity solution for all cases considered and has better performanc‐ es for solving the OPS problem compared to other metaheuris‐ tic population-based techniques.en_US
dc.language.isoen_USen_US
dc.publisherJournal of Modern Power Systems and Clean Energyen_US
dc.rightsАуторство-Некомерцијално-Без прерада 3.0 САД*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.titleOptimal placement and sizing of renewable distributed generation using hybrid metaheuristic algorithmen_US
dc.title.alternativeJournal of Modern Power Systems and Clean Energyen_US
dc.typeclanak-u-casopisuen_US
dc.description.versionpublishedVersionen_US
dc.identifier.doi10.35833/MPCE.2019.000259
dc.citation.volume8
dc.citation.issue3
dc.citation.spage499
dc.citation.epage510
dc.subject.keywordsWind turbineen_US
dc.subject.keywordsphotovoltaic generationen_US
dc.subject.keywordsoptimal placementen_US
dc.subject.keywordsmetaheuristic optimizationen_US
dc.type.mCategoryM21en_US
dc.type.mCategoryopenAccessen_US
dc.type.mCategoryM21en_US
dc.type.mCategoryopenAccessen_US


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Ауторство-Некомерцијално-Без прерада 3.0 САД
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