Chaos-based optimization for load frequency control in Islanded airport microgrids with hydrogen energy and electric aircraft

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dc.authorid0000-0003-0830-5530
dc.contributor.authorHaydaroğlu, Cem
dc.date.accessioned2025-02-22T14:10:54Z
dc.date.available2025-02-22T14:10:54Z
dc.date.issued2025
dc.departmentDicle University, Engineering Faculty, Department of Electrical and Electronics Engineering Departmenten_US
dc.description.abstractThis study explores the integration of renewable energy sources (RES) and hydrogen energy into an airport microgrid (AMG) model to enhance energy efficiency and reduce carbon emissions. A novel two-degree-of-freedom proportional-integral-derivative (2DOF-PID) controller is designed to regulate energy demands, and its parameters are optimized using the Chaos-based Blood sucking Leech Optimization (CB-BSLO) algorithm. The system is evaluated under five scenarios using four controllers (PI, PID, 2DOF-PI, and 2DOF-PID) and four optimization algorithms (WOA, MGO, ANT, and CB-BSLO). Simulation results demonstrate that the CB-BSLO-optimized 2DOF-PID controller achieves superior performance with significantly reduced error metrics across all scenarios, including low and high RES conditions and parameter uncertainty cases. For instance, under low RES conditions, ITAE and ISE values were minimized to 2.065 and 6.478, respectively, while maintaining system stability. Moreover, surplus renewable energy was efficiently converted into hydrogen via water electrolysis and utilized for energy storage and on-demand power generation, leading to a substantial reduction in carbon emissions. The findings highlight that the CB-BSLO algorithm outperforms other methods by 20–50% in terms of ITAE and ISE metrics, ensuring faster stabilization and improved energy efficiency. This research offers a sustainable and robust solution for integrating renewable energy and hydrogen storage into critical microgrid systems, particularly in the aviation sector, while addressing global challenges such as energy security and climate change. © 2025 Hydrogen Energy Publications LLCen_US
dc.identifier.citationHaydaroğlu, C. (2025). Chaos-based optimization for load frequency control in Islanded airport microgrids with hydrogen energy and electric aircraft. International Journal of Hydrogen Energy, 1-17.
dc.identifier.doi10.1016/j.ijhydene.2025.01.174
dc.identifier.issn0360-3199
dc.identifier.scopus2-s2.0-85215405120en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijhydene.2025.01.174
dc.identifier.urihttps://hdl.handle.net/11468/29862
dc.indekslendigikaynakScopus
dc.institutionauthorHaydaroğlu, Cem
dc.institutionauthorid0000-0003-0830-5530
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofInternational Journal of Hydrogen Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_Scopus_20250222
dc.subjectAirport microgriden_US
dc.subjectChaos-based Blood sucking leech optimizationen_US
dc.subjectEnergy storageen_US
dc.subjectHydrogen energyen_US
dc.titleChaos-based optimization for load frequency control in Islanded airport microgrids with hydrogen energy and electric aircraften_US
dc.typeArticleen_US

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