Parameter optimization of power system stabilizers via kidney-inspired algorithm

dc.authorid0000-0002-1839-025Xen_US
dc.contributor.authorEkinci, Serdar
dc.contributor.authorDemiroren, Aysen
dc.contributor.authorHekimoğlu, Baran
dc.date.accessioned2019-04-03T06:46:36Z
dc.date.available2019-04-03T06:46:36Z
dc.date.issued2018-06-25
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Bilgisayar Mühendisliği Bölümüen_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis article describes the application of a new population-based meta-heuristic optimization algorithm inspired by the kidney process in the human body for the tuning of power system stabilizers (PSSs) in a multi-machine power system. The tuning problem of PSS parameters is formulated as an optimization problem that aims at maximizing the damping ratio of the electromechanical modes and the kidney-inspired algorithm (KA) is used to search for the optimal parameters. The efficacy of the KA-based PSS design was successfully tested on a well-known 16-machine, 68-bus power system. The obtained results are evaluated and compared with the other results obtained by the original particle swarm optimization (PSO) and the bat algorithm (BA) methods. From the detailed eigenvalue analysis, the nonlinear simulation studies and some performance indices it has been found out that for damping oscillations, the performance of the proposed KA approach in this study is better than that obtained by other intelligent techniques (PSO and BA). Moreover, the efficiency and the superior performance of the proposed method over the other two algorithms in terms of computation time, convergence rate and solution quality are confirmed.en_US
dc.identifier.citationEkinci, S., Demiroren, A., Hekimoglu, B. (2019). Parameter optimization of power system stabilizers via kidney-inspired algorithm. Transactions of the Institute of Measurement and Control, 41(5), 1405–1417. https://doi.org/10.1177/0142331218780947en_US
dc.identifier.endpage1417en_US
dc.identifier.issn0142-3312
dc.identifier.issn1477-0369
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1405en_US
dc.identifier.urihttps://journals.sagepub.com/doi/pdf/10.1177/0142331218780947
dc.identifier.urihttps://doi.org/10.1177/0142331218780947
dc.identifier.urihttps://hdl.handle.net/20.500.12402/1918
dc.identifier.volume41en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSAGEen_US
dc.relation.isversionof10.1177/0142331218780947en_US
dc.relation.journalTransactions of the Institute of Measurement and Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectPower system stabilizeren_US
dc.subjectKidney-inspired algorithmen_US
dc.subjectBat algorithmen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectParameter optimizationen_US
dc.titleParameter optimization of power system stabilizers via kidney-inspired algorithmen_US
dc.typeArticleen_US

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