Dynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problem

Basit Öğe Kaydı
dc.authoridDuman, Serhat/0000-0002-1091-125X
dc.authoridguvenc, ugur/0000-0002-5193-7990
dc.authoridkahraman, hamdi tolga/0000-0001-9985-6324
dc.authoridBAKIR, Huseyin/0000-0001-5473-5158;
dc.contributor.authorBakir, Huseyin
dc.contributor.authorKahraman, Hamdi Tolga
dc.contributor.authorYilmaz, Samet
dc.contributor.authorDuman, Serhat
dc.contributor.authorGuvenc, Ugur
dc.date.accessioned2025-10-11T20:48:37Z
dc.date.available2025-10-11T20:48:37Z
dc.date.issued2024
dc.departmentDüzce Üniversitesien_US
dc.description.abstractIn this paper, the multi-objective AC-DC optimal power flow (MO/AC-DC OPF) problem in the presence of renewable energy sources (RESs), flexible AC transmission system (FACTS) devices and multi-terminal direct current (MTDC) systems is introduced for the first time. Conflicting objective functions and the high complexity of the objective and constraint spaces are the main challenges in finding optimal solutions for MO/AC-DC OPF. To overcome these challenges, twelve different versions of the dynamic switched crowding-based multi-objective particle swarm optimization (DSC-MOPSO) algorithm are introduced in this paper. Studies on multimodal optimization problems have shown that all DSC-MOPSO versions have better performance metrics than the MOPSO algorithm. Using the developed DSC-MOPSO and its strong competitors, the Pareto-optimal solution sets of the MO/AC-DC OPF problem are investigated. In these investigations, the performances of the algorithms are tested for the minimization of dual and triple objectives such as fuel cost, voltage level deviation, emission and power loss in a modified IEEE 30-bus power grid. According to the simulation results, the proposed DSC-MOPSO achieved an improvement in fuel cost between 0.02 % and 5.05 % and a reduction in active power loss between 0.44 % and 30.74% compared to its competitors. The Hypervolume (HV) performance metric was used to evaluate the Pareto-front coverage performance of DSC-MOPSO and other optimizers. The results from nine case studies of the MO/AC-DC OPF were statistically analyzed by the Friedman test according to the 1/HV metric. According to the Friedman test results, the rankings of DSC-MOPSO and MOMA are 1.984 and 3.079, respectively, ranking first and second among all competitors. Finally, in this study, feasible solutions for MO/AC-DC OPF problem are identified for the first time and the stability of competitive algorithms in finding these solutions is analyzed for the first time. The success rates and search times of DSC-MOPSO and MOMA algorithms in finding feasible solutions for MO/AC-DC OPF are 91.01 % (30.641 s) and 82.01 % (46.038 s), respectively.en_US
dc.identifier.doi10.1016/j.asoc.2024.112155
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85202810243en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2024.112155
dc.identifier.urihttps://hdl.handle.net/20.500.12684/22017
dc.identifier.volume166en_US
dc.identifier.wosWOS:001312541200001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectDynamic switched crowding-based multien_US
dc.subjectobjective particle swarm optimization (DSC-en_US
dc.subjectMOPSO)en_US
dc.subjectMulti-objective optimal power flowen_US
dc.subjectVSC-based MTDC transmission systemsen_US
dc.subjectRenewable energyen_US
dc.subjectFACTS devicesen_US
dc.titleDynamic switched crowding-based multi-objective particle swarm optimization algorithm for solving multi-objective AC-DC optimal power flow problemen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu