A Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation

Basit Öğe Kaydı
dc.authoridIzci, Davut/0000-0001-8359-0875
dc.authoridKose, Ercan/0000-0001-9814-6339
dc.contributor.authorEkinci, Serdar
dc.contributor.authorCetin, Haluk
dc.contributor.authorIzci, Davut
dc.contributor.authorKose, Ercan
dc.date.accessioned2025-03-17T12:25:14Z
dc.date.available2025-03-17T12:25:14Z
dc.date.issued2023
dc.departmentTarsus Üniversitesi
dc.description.abstractThis work introduces an innovative approach that unites a (PIDNDN2)-N-2 controller and the balanced arithmetic optimization algorithm (b-AOA) to enhance the stability of an automatic voltage regulator (AVR) system. The (PIDNDN2)-N-2 controller, tailored for precision, stability, and responsiveness, mitigates the limitations of conventional methods. The b-AOA optimizer is obtained through the integration of pattern search and elite opposition-based learning strategies into the arithmetic optimization algorithm. This integration optimizes the controller parameters and the AVR system's response, harmonizing exploration and exploitation. Extensive assessments, including evaluations on 23 classical benchmark functions, demonstrate the efficacy of the b-AOA. It consistently achieves accurate solutions, exhibits robustness in addressing a wide range of optimization problems, and stands out as a promising choice for various applications. In terms of the AVR system, comparative analyses highlight the superiority of the proposed approach in transient response characteristics, with the shortest rise and settling times and zero overshoot. Additionally, the b-AOA approach excels in frequency response, ensuring robust stability and a broader bandwidth. Furthermore, the proposed approach is compared with various state-of-the-art control methods for the AVR system, showcasing an impressive performance. These results underscore the significance of this work, setting a new benchmark for AVR control by advancing stability, responsiveness, and reliability in power systems.
dc.identifier.doi10.3390/math11234810
dc.identifier.issn2227-7390
dc.identifier.issue23
dc.identifier.scopus2-s2.0-85178916821
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/math11234810
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1575
dc.identifier.volume11
dc.identifier.wosWOS:001117679300001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofMathematics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250316
dc.subjectarithmetic optimization algorithm
dc.subjectelite opposition-based learning
dc.subjectpattern search
dc.subject(PIDNDN2)-N-2 controller
dc.titleA Novel Balanced Arithmetic Optimization Algorithm-Optimized Controller for Enhanced Voltage Regulation
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu