Chaos-based optimization for load frequency control in Islanded airport microgrids with hydrogen energy and electric aircraft
Yükleniyor...
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This 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 LLC
Açıklama
Anahtar Kelimeler
Airport microgrid, Chaos-based Blood sucking leech optimization, Energy storage, Hydrogen energy
Kaynak
International Journal of Hydrogen Energy
WoS Q Değeri
Scopus Q Değeri
Q1
Cilt
Sayı
Künye
Haydaroğlu, 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.
