Dynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordination

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dc.authoridDuman, Serhat/0000-0002-1091-125X
dc.authoridkahraman, hamdi/0000-0001-9985-6324
dc.authorwosidDuman, Serhat/O-9406-2014
dc.authorwosidkahraman, hamdi/N-5248-2014
dc.contributor.authorKahraman, Hamdi Tolga
dc.contributor.authorBakir, Huseyin
dc.contributor.authorDuman, Serhat
dc.contributor.authorKati, Mehmet
dc.contributor.authorAras, Sefa
dc.contributor.authorGuvenc, Ugur
dc.date.accessioned2021-12-01T18:50:48Z
dc.date.available2021-12-01T18:50:48Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractThis article has four main objectives. These are: to develop the dynamic fitness-distance balance (dFDB) selection method for meta-heuristic search algorithms, to develop a strong optimization algorithm using the dFDB method, to create an optimization model of the coordination of directional overcurrent relays (DOCRs) problem, and to optimize the DOCRs problem using the developed algorithm, respectively. A comprehensive experimental study was conducted to analyze the performance of the developed dFDB selection method and to evaluate the optimization results of the DOCRs problem. Experimental studies were carried out in two steps. In the first step, to test the performance of the developed dFDB method and optimization algorithm, studies were conducted on three different benchmark test suites consisting of different problem types and dimensions. The data obtained from the experimental studies were analyzed using non-parametric statistical methods and the most effective among the developed optimization algorithms was determined. In the second step, the DOCRs problem was optimized using the developed algorithm. The performance of the proposed method for the solution to the DOCRs coordination problem was evaluated on five test systems including the IEEE 3-bus, the IEEE 4-bus, the 8-bus, the 9-bus, and the IEEE 30-bus test systems. The numerical results of the developed algorithm were compared with previously proposed algorithms available in the literature. Simulation results showed the effectiveness of the proposed method in minimizing the relay operating time for the optimal coordination of DOCRs.en_US
dc.identifier.doi10.1007/s10489-021-02629-3
dc.identifier.issn0924-669X
dc.identifier.issn1573-7497
dc.identifier.scopus2-s2.0-85111525608en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1007/s10489-021-02629-3
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10929
dc.identifier.wosWOS:000678462100001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofApplied Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMeta-heuristic search (MHS)en_US
dc.subjectDynamic fitness distance balance (dFDB)en_US
dc.subjectManta ray foraging optimization (MRFO)en_US
dc.subjectDirectional overcurrent relays (DOCRs) coordinationen_US
dc.subjectPower system optimizationen_US
dc.subjectPower system protectionen_US
dc.subjectDifferential Evolution Algorithmen_US
dc.subjectOptimization Algorithmen_US
dc.subjectSearch Optimizationen_US
dc.subjectOnline Coordinationen_US
dc.subjectGenetic Algorithmen_US
dc.subjectGsaen_US
dc.titleDynamic FDB selection method and its application: modeling and optimizing of directional overcurrent relays coordinationen_US
dc.typeArticleen_US

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