Optimized Non-Integer with Disturbance Observer Frequency Control for Resilient Modern Airport Microgrid Systems

Various sectors focus on transitioning to clean and renewable energy sources, particularly airport microgrids (AMGs), which offer the potential for highly reliable and resilient operations. As airports increasingly integrate renewable energy sources, ensuring stable and efficient power becomes a critical challenge. In this context, maintaining proper frequency is essential for the reliable operation of AMGs, which helps maintain grid stability and reliable operation. This paper proposes a new hybrid disturbance observer-based controller with a fractional-order controller (DOBC/FOC) for operating AMGs with high levels of renewable energy integration and advanced frequency regulation (FR) capabilities. The proposed controller utilizes DOBC coupled with a non-integer FOC for load frequency control (LFC), optimized for peak performance under varying operational conditions. In addition, a decentralized control strategy is introduced to manage the participation of electric vehicles and lithium-ion battery systems within the airport’s energy ecosystem, enabling effective demand response and energy storage utilization. Furthermore, the parameters of these controllers are optimized simultaneously to ensure optimal performance in both transient and steady-state conditions. The proposed DOBC/FOC controller demonstrates strong performance and reliability according to simulation outcomes, showcasing its superior performance in maintaining frequency stability, reducing fluctuations, and ensuring continuous power supply in diverse operating scenarios, such as 55.5% and 76.5% in step load perturbations when compared to the utilization of electric vehicles (EVs) and electric aircraft (EAC), respectively. These results underline the potential of this approach in enhancing the resilience and sustainability of AMG and contributing to more intelligent and eco-friendly airport infrastructure.

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Publication Details

Journal
Fractal and Fractional
Published
2025-05-28
DOI
https://doi.org/10.3390/fractalfract9060354
Citations
3
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
2.19
Controls
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article

Optimized Non-Integer with Disturbance Observer Frequency Control for Resilient Modern Airport Microgrid Systems

Waleed Alhosaini, Loai Nasrat, Emad A. Mohamed, Mokhtar Aly et al.
3 citations
Fractal and Fractional
Frequency Control in Power Systems
2.19
article

Optimized Non-Integer with Disturbance Observer Frequency Control for Resilient Modern Airport Microgrid Systems

Waleed Alhosaini, Loai Nasrat, Emad A. Mohamed, Mokhtar Aly, Emad M. Ahmed, Sayed M. Said, Amr A. Raslan
article en
3 citations

Abstract

Various sectors focus on transitioning to clean and renewable energy sources, particularly airport microgrids (AMGs), which offer the potential for highly reliable and resilient operations. As airports increasingly integrate renewable energy sources, ensuring stable and efficient power becomes a critical challenge. In this context, maintaining proper frequency is essential for the reliable operation of AMGs, which helps maintain grid stability and reliable operation. This paper proposes a new hybrid disturbance observer-based controller with a fractional-order controller (DOBC/FOC) for operating AMGs with high levels of renewable energy integration and advanced frequency regulation (FR) capabilities. The proposed controller utilizes DOBC coupled with a non-integer FOC for load frequency control (LFC), optimized for peak performance under varying operational conditions. In addition, a decentralized control strategy is introduced to manage the participation of electric vehicles and lithium-ion battery systems within the airport’s energy ecosystem, enabling effective demand response and energy storage utilization. Furthermore, the parameters of these controllers are optimized simultaneously to ensure optimal performance in both transient and steady-state conditions. The proposed DOBC/FOC controller demonstrates strong performance and reliability according to simulation outcomes, showcasing its superior performance in maintaining frequency stability, reducing fluctuations, and ensuring continuous power supply in diverse operating scenarios, such as 55.5% and 76.5% in step load perturbations when compared to the utilization of electric vehicles (EVs) and electric aircraft (EAC), respectively. These results underline the potential of this approach in enhancing the resilience and sustainability of AMG and contributing to more intelligent and eco-friendly airport infrastructure.

Fractal and FractionalVol. 9(6)
Prince Sattam Bin Abdulaziz University (SA), Jouf University (SA), San Sebastián University (CL), Aswan University (EG)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Frequency Control in Power Systems
2.19
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