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Heuristic Optimization of PI Controllers for Time-Delayed LFC-EV Systems

Conference ObjectAçık Erişim

Özet

This study proposes an optimization method for the proportional-integral (PI) controller gains of a single-area time-delayed load frequency control system with electric vehicles (LFC-EV). Four heuristic algorithms are used to optimize the PI controller gains: crow search algorithm (CSA), particle swarm optimization (PSO), vortex search algorithm (VSA), and sine-cosine algorithm (SCA). The integral square error (ISE) objective function is used in the optimization process for all algorithms. Finally, a time-domain simulation of the LFC-EV system is conducted to evaluate the performance of the proposed algorithms. The optimized PI controller gains exhibited superior performance compared to randomly selected gains, leading to decreased oscillations and faster settling times, as evidenced by the results. © 2023 IEEE.

Anahtar Kelimeler

ControllersElectric control equipmentElectric frequency controlElectric loadsLearning algorithmsParticle swarm optimization (PSO)Proportional control systemsTime delayTime domain analysisTwo term control systemsController gainHeuristic optimizationHeuristics algorithmLoad-frequency controlOptimization methodPerformanceProportional integral controllersSearch AlgorithmsTime delayedVehicle systemHeuristic algorithms
RDL Kalıcı Bağlantı (PID)
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorAydin, Ömer
dc.contributor.authorHasen, Suud Ademnur
dc.contributor.authorAyasun, Saffet
dc.date.accessioned2026-10-18T20:27:01.353068409Z
dc.date.available2026-10-18T20:27:01.353068409Z
dc.date.issued2023
dc.description.abstractThis study proposes an optimization method for the proportional-integral (PI) controller gains of a single-area time-delayed load frequency control system with electric vehicles (LFC-EV). Four heuristic algorithms are used to optimize the PI controller gains: crow search algorithm (CSA), particle swarm optimization (PSO), vortex search algorithm (VSA), and sine-cosine algorithm (SCA). The integral square error (ISE) objective function is used in the optimization process for all algorithms. Finally, a time-domain simulation of the LFC-EV system is conducted to evaluate the performance of the proposed algorithms. The optimized PI controller gains exhibited superior performance compared to randomly selected gains, leading to decreased oscillations and faster settling times, as evidenced by the results. © 2023 IEEE.
dc.identifier.doi10.1109/eleco60389.2023.10415955
dc.identifier.isbn979-835036049-3
dc.identifier.scopus2-s2.0-85185836373
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/12071
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectControllers
dc.subjectElectric control equipment
dc.subjectElectric frequency control
dc.subjectElectric loads
dc.subjectLearning algorithms
dc.subjectParticle swarm optimization (PSO)
dc.subjectProportional control systems
dc.subjectTime delay
dc.subjectTime domain analysis
dc.subjectTwo term control systems
dc.subjectController gain
dc.subjectHeuristic optimization
dc.subjectHeuristics algorithm
dc.subjectLoad-frequency control
dc.subjectOptimization method
dc.subjectPerformance
dc.subjectProportional integral controllers
dc.subjectSearch Algorithms
dc.subjectTime delayed
dc.subjectVehicle system
dc.subjectHeuristic algorithms
dc.titleHeuristic Optimization of PI Controllers for Time-Delayed LFC-EV Systems
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.scopus0
rdl.source.indexSCOPUS