Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm
Traditional Economic Dispatch (ED) models are designed for scenarios with stable and abundant fuel supplies; therefore, they are not inherently tuned to handle fuel shortages. To ensure robust and efficient power management, the traditional ED must be modified to address these challenges. This artic...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-09-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S259012302502496X |
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| author | Mahmoud Ibrahim Mohamed Ali M. Yousef Ahmed A. Hafez |
| author_facet | Mahmoud Ibrahim Mohamed Ali M. Yousef Ahmed A. Hafez |
| author_sort | Mahmoud Ibrahim Mohamed |
| collection | DOAJ |
| description | Traditional Economic Dispatch (ED) models are designed for scenarios with stable and abundant fuel supplies; therefore, they are not inherently tuned to handle fuel shortages. To ensure robust and efficient power management, the traditional ED must be modified to address these challenges. This article comprehensively analyzes the ED process for power plants with multiple fuel options, while achieving multiple objectives: optimizing energy management and boosting supply security. The proposed approach introduces a Dynamic Prohibited Operating Zones (DPOZs) framework that is adjusted in real-time based on available fuel quantities, ensuring a flexible, adaptive, and reliable control system. To assess the applicability and performance of the proposed ED with the DPOZs technique, an electrical power system consisting of 10 generating units with multiple fuel options is analyzed. The study evaluates its effectiveness in solving ED problems under various operating conditions using the Walrus Optimization Algorithm (WaOA), ensuring a thorough and reliable assessment. The results demonstrated the effectiveness of the proposed DPOZs approach for ED under various fuel shortage scenarios. This approach proved its capability to continuously monitor fuel consumption and update POZs for each type of fuel, it dynamically adjusts generation to maintain real-time supply-demand balance, minimize generation costs, and ensure power system stability. |
| format | Article |
| id | doaj-art-7c5baa4b1df44c8da35710c00bc3c08e |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-7c5baa4b1df44c8da35710c00bc3c08e2025-08-20T03:58:36ZengElsevierResults in Engineering2590-12302025-09-012710642710.1016/j.rineng.2025.106427Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithmMahmoud Ibrahim Mohamed0Ali M. Yousef1Ahmed A. Hafez2Corresponding author.; Electrical Engineering Department, Assiut University, Assiut, EgyptElectrical Engineering Department, Assiut University, Assiut, EgyptElectrical Engineering Department, Assiut University, Assiut, EgyptTraditional Economic Dispatch (ED) models are designed for scenarios with stable and abundant fuel supplies; therefore, they are not inherently tuned to handle fuel shortages. To ensure robust and efficient power management, the traditional ED must be modified to address these challenges. This article comprehensively analyzes the ED process for power plants with multiple fuel options, while achieving multiple objectives: optimizing energy management and boosting supply security. The proposed approach introduces a Dynamic Prohibited Operating Zones (DPOZs) framework that is adjusted in real-time based on available fuel quantities, ensuring a flexible, adaptive, and reliable control system. To assess the applicability and performance of the proposed ED with the DPOZs technique, an electrical power system consisting of 10 generating units with multiple fuel options is analyzed. The study evaluates its effectiveness in solving ED problems under various operating conditions using the Walrus Optimization Algorithm (WaOA), ensuring a thorough and reliable assessment. The results demonstrated the effectiveness of the proposed DPOZs approach for ED under various fuel shortage scenarios. This approach proved its capability to continuously monitor fuel consumption and update POZs for each type of fuel, it dynamically adjusts generation to maintain real-time supply-demand balance, minimize generation costs, and ensure power system stability.http://www.sciencedirect.com/science/article/pii/S259012302502496XDynamic economic dispatchFuel shortagesDynamic prohibited operating zonesMultiple fuel optionsWalrus optimization algorithm |
| spellingShingle | Mahmoud Ibrahim Mohamed Ali M. Yousef Ahmed A. Hafez Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm Results in Engineering Dynamic economic dispatch Fuel shortages Dynamic prohibited operating zones Multiple fuel options Walrus optimization algorithm |
| title | Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm |
| title_full | Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm |
| title_fullStr | Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm |
| title_full_unstemmed | Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm |
| title_short | Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm |
| title_sort | risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm |
| topic | Dynamic economic dispatch Fuel shortages Dynamic prohibited operating zones Multiple fuel options Walrus optimization algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S259012302502496X |
| work_keys_str_mv | AT mahmoudibrahimmohamed riskmanagementstrategiesforfuelshortagesineconomicdispatchwithmultiplefueloptionsusingwalrusalgorithm AT alimyousef riskmanagementstrategiesforfuelshortagesineconomicdispatchwithmultiplefueloptionsusingwalrusalgorithm AT ahmedahafez riskmanagementstrategiesforfuelshortagesineconomicdispatchwithmultiplefueloptionsusingwalrusalgorithm |