Optimal power flow incorporating FACTS devices using gravitational search algorithm

dc.contributor.authorSönmez, Yusuf
dc.contributor.authorGüvenç, Uğur
dc.contributor.authorDuman, Serhat
dc.contributor.authorYörükeren, Nuran
dc.date.accessioned2020-04-30T13:33:00Z
dc.date.available2020-04-30T13:33:00Z
dc.date.issued2012
dc.departmentDÜ, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831en_US
dc.description.abstractThis paper aims to solve the optimal power problem (OPF) incorporating flexible AC transmission systems (FACTS) devices using Gravitational Search Algorithm (GSA) that minimizes the fuel cost function in the problem. In the optimization problem, Thyristor controlled series compensation (TCSC) and thyristor controlled phase shifter (TCPS) FACTS devices are considered to find their optimum location in transmission lines. In order to evaluate the effectiveness of proposed algorithm, it has been tested on modified IEEE 30 bus system and compared with particle swarm optimization (PSO) and hybrid tabu search and simulated annealing (TS/SA) approach which are used in solving the same problem and reported before in the literature. Results show that GSA produces better results than others and has fast computing time for solving OPF problem with FACTS. © 2012 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2012.6246993en_US
dc.identifier.isbn9781467314466
dc.identifier.urihttps://dx.doi.org/10.1109/INISTA.2012.6246993
dc.identifier.urihttps://hdl.handle.net/20.500.12684/509
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectflexible AC transmission systems; gravitational search algorithm; optimal power flow; optimizationen_US
dc.titleOptimal power flow incorporating FACTS devices using gravitational search algorithmen_US
dc.typeConference Objecten_US

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