Prikaz osnovnih podataka o dokumentu

dc.contributor.authorJevtić, Milena
dc.contributor.authorJevtić, Miroljub
dc.contributor.authorRadosavljević, Jordan
dc.contributor.authorArsić, Sanela
dc.contributor.authorKlimenta, Dardan
dc.date.accessioned2022-09-20T11:24:38Z
dc.date.available2022-09-20T11:24:38Z
dc.date.issued2020-11
dc.identifier.urihttps://platon.pr.ac.rs/handle/123456789/521
dc.description.abstractIn this paper, the PPSOGSA algorithm is proposed to optimize the nodal prices and power flows transacted between the tiers of the supply chain (SC) in a deregulated electricity market. The hybrid PPSOGSA algorithm is a combination of phasor particle swarm optimization (PPSO) and gravitational search algorithm (GSA). The equilibrium model of SC was applied. The objective function is the function of total profit of participants in the SC. The applied cost functions of participants are nonlinear and non-separable. The results of PPSOGSA application are compared with the results of the modified projection method (MPM) for the numerical solution of the variational inequality of SC, which is applied in the literature for solving the same problem, and with the results of genetic algorithm (GA) as one of the basic meta-heuristic algorithms. The results showed that PPSOGSA gives the best results compared to MPM and GA. Moreover, in the case of PPSOGSA application the equilibrium conditions are fully satisfied while in the case of MPM the equilibrium conditions are satisfied with a small error. It is found that PPSOGSA converges in the much lesser number of iterations and gives better results than the MPM. This new application of PPSOGSA enables the handling of decision makers, who operate in the electricity market and optimize energy flow and prices, minimize payment cost and maximize profit.en_US
dc.language.isoen_USen_US
dc.publisherConference: International Scientific Conference “UNITECH 2020” – Gabrovoen_US
dc.rightsАуторство-Некомерцијално-Без прерада 3.0 САД*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.titleOptimal power flow and prices in the electricity market using the hybrid PPSOGSA algorithmen_US
dc.title.alternativeConference: International Scientific Conference “UNITECH 2020” – Gabrovoen_US
dc.typekonferencijski-prilogen_US
dc.description.versionpublishedVersionen_US
dc.subject.keywordsmeta-heuristicsen_US
dc.subject.keywordsparticle swarm optimizationen_US
dc.subject.keywordselectricity marketen_US
dc.subject.keywordssupply chainen_US
dc.type.mCategoryM33en_US
dc.type.mCategoryopenAccessen_US
dc.type.mCategoryM33en_US
dc.type.mCategoryopenAccessen_US


Dokumenti

Thumbnail
Thumbnail

Ovaj rad se pojavljuje u sledećim kolekcijama

Prikaz osnovnih podataka o dokumentu

Ауторство-Некомерцијално-Без прерада 3.0 САД
Osim gde je drugačije navedeno, licenca ovog rada je opisana saАуторство-Некомерцијално-Без прерада 3.0 САД