Dynamic load frequency control in Power systems using a hybrid simulated annealing based Quadratic Interpolation Optimizer

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dc.authoridEkinci, Serdar/0000-0002-7673-2553
dc.authoridProkop, Lukas/0000-0003-0495-5499
dc.authoridBlazek, Vojtech/0000-0003-0508-8518
dc.authoridBajaj, Mohit/0000-0002-1086-457X
dc.authoridIzci, Davut/0000-0001-8359-0875;
dc.contributor.authorIzci, Davut
dc.contributor.authorEkinci, Serdar
dc.contributor.authorCelik, Emre
dc.contributor.authorBajaj, Mohit
dc.contributor.authorBlazek, Vojtech
dc.contributor.authorProkop, Lukas
dc.date.accessioned2025-10-11T20:48:25Z
dc.date.available2025-10-11T20:48:25Z
dc.date.issued2024
dc.departmentDüzce Üniversitesien_US
dc.description.abstractEnsuring the stability and reliability of modern power systems is increasingly challenging due to the growing integration of renewable energy sources and the dynamic nature of load demands. Traditional proportional-integral-derivative (PID) controllers, while widely used, often fall short in effectively managing these complexities. This paper introduces a novel approach to load frequency control (LFC) by proposing a filtered PID (PID-F) controller optimized through a hybrid simulated annealing based quadratic interpolation optimizer (hSA-QIO). The hSA-QIO uniquely combines the local search capabilities of simulated annealing (SA) with the global optimization strengths of the quadratic interpolation optimizer (QIO), providing a robust and efficient solution for LFC challenges. The key contributions of this study include the development and application of the hSA-QIO, which significantly enhances the performance of the PID-F controller. The proposed hSA-QIO was evaluated on unimodal, multimodal, and low-dimensional benchmark functions, to demonstrate its robustness and effectiveness across diverse optimization scenarios. The results showed significant improvements in solution quality compared to the original QIO, with lower objective function values and faster convergence. Applied to a two-area interconnected power system with hybrid photovoltaic-thermal power generation, the hSA-QIO-tuned controller achieved a substantial reduction in the integral of time-weighted absolute error by 23.4%, from 1.1396 to 0.87412. Additionally, the controller reduced the settling time for frequency deviations in Area 1 by 9.9%, from 1.0574 s to 0.96191 s, and decreased the overshoot by 8.8%. In Area 2, the settling time was improved to 0.89209 s, with a reduction in overshoot by 4.8%. The controller also demonstrated superior tie-line power regulation, achieving immediate response with minimal overshoot.en_US
dc.description.sponsorshipMinistry of Education, Youth and Sports [CZ.10.03.01/00/22_003/0000048, TN02000025]en_US
dc.description.sponsorshipEuropean Unionen_US
dc.description.sponsorshipNational Centre for Energy IIen_US
dc.description.sponsorshipThis article has been produced with the financial support of the European Union under the REFRESH - Research Excellence For Region Sustainability and High-tech Industries project number CZ.10.03.01/00/22_003/0000048 via the Operational Programme Just Transition and paper was supported by the following project TN02000025 National Centre for Energy II.en_US
dc.identifier.doi10.1038/s41598-024-77247-3
dc.identifier.issn2045-2322
dc.identifier.issue1en_US
dc.identifier.pmid39472757en_US
dc.identifier.scopus2-s2.0-85208162676en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1038/s41598-024-77247-3
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21913
dc.identifier.volume14en_US
dc.identifier.wosWOS:001345876000063en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherNature Portfolioen_US
dc.relation.ispartofScientific Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectQuadratic interpolation optimizeren_US
dc.subjectSimulated annealingen_US
dc.subjectLoad frequency controlen_US
dc.subjectFiltered PID controlleren_US
dc.subjectTwo-area photovoltaic-thermal power systemen_US
dc.subjectPower system stabilityen_US
dc.titleDynamic load frequency control in Power systems using a hybrid simulated annealing based Quadratic Interpolation Optimizeren_US
dc.typeArticleen_US

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