Fuzzy-Based Fitness-Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systems

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dc.authoriduzel, hasan/0000-0002-8238-2588
dc.authoridguvenc, ugur/0000-0002-5193-7990
dc.authoridALTUN, BEKIR EMRE/0000-0002-1176-0035;
dc.contributor.authorDemirbas, Muhammet
dc.contributor.authorDuman, Serhat
dc.contributor.authorOzkaya, Burcin
dc.contributor.authorBalci, Yunus
dc.contributor.authorErsoy, Deniz
dc.contributor.authorDosoglu, M. Kenan
dc.contributor.authorGuvenc, Ugur
dc.date.accessioned2025-10-11T20:47:48Z
dc.date.available2025-10-11T20:47:48Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.description.abstractEconomic dispatch (ED) is one of the most important problems in terms of energy planning, management, and operation in power systems. This study presents a snow ablation optimizer (SAO) algorithm developed with the fuzzy-based fitness-distance balance (FFDB) method for solving ED problems in small-, medium- and large-scale electric power systems and determining the optimal operating values of fossil fuel thermal generation units. The FFDB-based SAO algorithm (FFDBSAO) controls early convergence problems through balancing exploration-exploitation and improves the solving of high-dimensional optimization problems. In the light of extensive experimental studies conducted on CEC2020, CEC2022, and classical benchmark test functions, the FFDBSAO2 algorithm has shown superior performance against its competitors. Wilcoxon and Friedman's statistical analysis results confirm the performance and efficiency of the algorithm. Moreover, the proposed algorithm significantly reduces total fuel cost by optimizing fossil fuel thermal generation units. According to the results, the scalability and robustness of the algorithm make it a valuable tool for solving large-scale optimization problems in the planning of electric power systems.en_US
dc.identifier.doi10.3390/en18123048
dc.identifier.issn1996-1073
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-105008999794en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/en18123048
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21573
dc.identifier.volume18en_US
dc.identifier.wosWOS:001515292500001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofEnergiesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectfuzzy fitness-distance balance methoden_US
dc.subjectoptimizationen_US
dc.subjectsnow ablation optimizeren_US
dc.subjecteconomic dispatchen_US
dc.subjectpower system planningen_US
dc.titleFuzzy-Based Fitness-Distance Balance Snow Ablation Optimizer Algorithm for Optimal Generation Planning in Power Systemsen_US
dc.typeArticleen_US

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