Solar PV focused LFC studies utilizing an SFS-optimized PID with fractional derivative (PIDDμ), and incorporating BESS and FESS applications

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dc.contributor.authorMasikana, Sboniso B.
dc.contributor.authorSharma, Gulshan L.
dc.contributor.authorSharma, Sachin
dc.contributor.authorBokoro, Pitshou Ntambu
dc.contributor.authorÇelik, Emre
dc.date.accessioned2025-10-11T20:45:21Z
dc.date.available2025-10-11T20:45:21Z
dc.date.issued2024
dc.departmentDüzce Üniversitesien_US
dc.description.abstractThis study investigates the application of a PID controller with a fractional derivative component (PIDDμ), optimized using the stochastic fractional search (SFS) technique, for load frequency control (LFC) in power systems. Additionally, solar PV and battery energy storage systems (BESS) and flywheel energy storage systems (FESS) are integrated as backup sources to enhance the LFC performance. To assess the effectiveness of the proposed approach, three error metrics—Integral Time Absolute Error (ITAE), Integral Time Multiplied Square Error (ITSE), and Integral of Absolute Error (IAE)—are evaluated. The results are compared with recent optimization-based LFC techniques across various scenarios. It is found that the SFS-PIDDμ achieves IAE=0.006786, ITSE=1.07e-05, and ITAE=0.01853, which are significantly lower than the error values produced by other LFC techniques. Furthermore, integrating solar PV, along with BESS and FESS, further reduces these error values. The graphical LFC responses of the SFS-PIDDμ outperform other optimization-based LFC techniques. The robustness of the approach is also validated against random load changes of varying magnitudes and for broader parametric variations. © 2024 Elsevier B.V., All rights reserved.en_US
dc.identifier.doi10.1016/j.prime.2024.100787
dc.identifier.issn2772-6711
dc.identifier.scopus2-s2.0-85205521393en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.prime.2024.100787
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21307
dc.identifier.volume10en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofe-Prime - Advances in Electrical Engineering, Electronics and Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_Scopus_20250911
dc.subjectBessen_US
dc.subjectFessen_US
dc.subjectLfcen_US
dc.subjectParametric Variationsen_US
dc.subjectPid Controlleren_US
dc.subjectSolar Pven_US
dc.subjectStochastic Fractional Search Algorithmen_US
dc.titleSolar PV focused LFC studies utilizing an SFS-optimized PID with fractional derivative (PIDDμ), and incorporating BESS and FESS applicationsen_US
dc.typeArticleen_US

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