Design of PI-PDN controlled DFIG system via a new objective function and starfish optimizer

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dc.contributor.authorİzci, Davut
dc.contributor.authorArtun, Fatma
dc.contributor.authorEkinci, Serdar
dc.contributor.authorGhandour, Raymond
dc.contributor.authorSalman, Mohammad
dc.contributor.authorGhith, Ehab
dc.date.accessioned2025-09-11T07:29:31Z
dc.date.available2025-09-11T07:29:31Z
dc.date.issued2025
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025, Gaziantep, 27-28 June 2025
dc.description.abstractThis study presents a novel approach to transient performance regulation in doubly fed induction generator (DFIG) systems by employing a cascaded proportional-integral (PI) and proportional-derivative with a filter (PDN) controller tuned via the starfish optimization algorithm (SFOA). To improve both transient and steady-state response, a custom scalar objective function is formulated, integrating rise time, settling time, overshoot, and steady-state error. The designed controller structure combines an outer PI loop and an inner filtered PDN loop, allowing precise reference tracking and enhanced robustness. The performance of the proposed SFOA-based controller is rigorously evaluated against well-established optimization algorithms including genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), grey wolf optimizer (GWO), and synergistic swarm optimization algorithm (SSOA). Statistical performance, optimal parameter values, and detailed time-domain simulations are provided for comparison. The results clearly demonstrate that the SFOA-tuned PI-PDN controller delivers superior consistency, minimal overshoot, and faster dynamic response. This performance is validated across multiple trials, highlighting the potential of SFOA as an effective tool for control system design in renewable energy applications.
dc.identifier.doi10.1109/ISAS66241.2025.11101946
dc.identifier.isbn9798331514822
dc.identifier.scopus2-s2.0-105014941145
dc.identifier.urihttps://doi.org/10.1109/ISAS66241.2025.11101946
dc.identifier.urihttps://hdl.handle.net/11501/2375
dc.indekslendigikaynakScopus
dc.institutionauthorEkinci, Serdar
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof9th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2025
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCascaded PI-PDN Controller
dc.subjectDoubly Fed Induction Generation System
dc.subjectRenewable Energy
dc.subjectStarfish Optimization Algorithm
dc.subjectWind Energy Conversion
dc.titleDesign of PI-PDN controlled DFIG system via a new objective function and starfish optimizer
dc.typeConference Object

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