Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach

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dc.contributor.authorDuman, Serhat
dc.contributor.authorLi, Jie
dc.contributor.authorWu, Lei
dc.contributor.authorGüvenç, Uğur
dc.date.accessioned2020-04-30T13:33:00Z
dc.date.available2020-04-30T13:33:00Z
dc.date.issued2019
dc.departmentDÜ, Teknik Eğitim Fakültesi, Elektrik Eğitimi Bölümüen_US
dc.description.abstractNowadays, the increasing usage of renewable energy sources (RES) in modern power systems introduces new challenges in power system planning and operation. Specifically, a high penetration of RESs introduces additional complexity into the optimal power flow (OPF) problem, which has a highly nonlinear complex structure. Under this environment, this paper discusses a modified hybrid particle swarm optimization and gravitational search algorithm (PSOGSA) integrated with chaotic maps (CPSOGSA) to apply the composite benchmark test functions and to solve the OPF problem with stochastic wind power and flexible alternating current transmission system (FACTS) devices. Numerical studies are used to illustrate effectiveness of the proposed CPSOGSA approach against other approaches such as moth swarm algorithm, grey wolf optimizer, and whale optimization algorithm. Additionally, to demonstrate the superiority and robustness of CPSOGSA algorithm, Wilcoxon signed-rank test is applied for all case studies. Case studies indicate the potential of CPSOGSA method in effectively solving OPF problem with stochastic wind power and FACTS devices. © 2019, Springer-Verlag London Ltd., part of Springer Nature.en_US
dc.description.sponsorship1059B191700888 Türkiye Bilimsel ve Teknolojik Araştirma Kurumuen_US
dc.description.sponsorshipDr. Serhat DUMAN would like to thank the support provided by Scientific and Technological Research Council of Turkey (TUBITAK) BIDEB 2219 Postdoctoral Research Program under Application Number 1059B191700888.en_US
dc.identifier.doi10.1007/s00521-019-04338-yen_US
dc.identifier.issn0941-0643
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00521-019-04338-y
dc.identifier.urihttps://hdl.handle.net/20.500.12684/510
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Londonen_US
dc.relation.ispartofNeural Computing and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectACOPF; Chaotic PSOGSA; Modern power systems; Wind poweren_US
dc.titleOptimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approachen_US
dc.typeArticleen_US

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