Implementation of the System Ensuring Energy Continuity of Metro Lines in Disaster and Emergency Situations in Matlab Environment

Metro systems constitute fundamental components of urban transportation and demand high reliability in terms of energy continuity. In disaster and emergency scenarios, particularly during earthquakes, an uninterrupted energy supply is critical for ensuring both operational continuity and passenger safety. This study investigates the capacity of emergency generators to meet energy demands during an earthquake on the M5 Üsküdar-Çekmeköy metro line. The process of maintaining energy continuity through generators was modeled and simulated within the MATLAB/Simulink environment. In the model, each load was independently activated, and generator output was dynamically adjusted in response to the power demand. Within the methodological framework, a risk-based load management strategy was developed, prioritizing critical loads. Te simulation assessed the load management processes of the generators and the system's capability to maintain energy continuity under emergency conditions. The modeling approach facilitated the evaluation of generator control mechanisms and operator intervention processes. Simulation outcomes allowed the assessment of the effectiveness of load management strategies and the continuity of energy supply provided by generators during emergencies. The study findings indicate that effective management of prioritized loads substantially enhances energy continuity, while dynamic control of generators based on demand improves overall system stability. Furthermore, the integration of artificial intelligence-based optimization algorithms and renewable energy sources was found to have the potential to increase the efficiency and sustainability of energy management in metro systems. Finally, recommendations were provided to enhance energy continuity in metro operations and infrastructure during disaster scenarios, with a detailed examination of the potential contributions of advanced technologies.

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Publication Details

Journal
International Journal of Advances in Engineering and Pure Sciences
Published
2025-09-15
DOI
https://doi.org/10.7240/jeps.1643538
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

Implementation of the System Ensuring Energy Continuity of Metro Lines in Disaster and Emergency Situations in Matlab Environment

Abdulhakim Karakaya, Ercüment Karakaş, Osman Armağan
International Journal of Advances in Engineering and Pure Sciences
Infrastructure Resilience and Vulnerability Analysis
article

Implementation of the System Ensuring Energy Continuity of Metro Lines in Disaster and Emergency Situations in Matlab Environment

Abdulhakim Karakaya, Ercüment Karakaş, Osman Armağan
article en

Abstract

Metro systems constitute fundamental components of urban transportation and demand high reliability in terms of energy continuity. In disaster and emergency scenarios, particularly during earthquakes, an uninterrupted energy supply is critical for ensuring both operational continuity and passenger safety. This study investigates the capacity of emergency generators to meet energy demands during an earthquake on the M5 Üsküdar-Çekmeköy metro line. The process of maintaining energy continuity through generators was modeled and simulated within the MATLAB/Simulink environment. In the model, each load was independently activated, and generator output was dynamically adjusted in response to the power demand. Within the methodological framework, a risk-based load management strategy was developed, prioritizing critical loads. Te simulation assessed the load management processes of the generators and the system's capability to maintain energy continuity under emergency conditions. The modeling approach facilitated the evaluation of generator control mechanisms and operator intervention processes. Simulation outcomes allowed the assessment of the effectiveness of load management strategies and the continuity of energy supply provided by generators during emergencies. The study findings indicate that effective management of prioritized loads substantially enhances energy continuity, while dynamic control of generators based on demand improves overall system stability. Furthermore, the integration of artificial intelligence-based optimization algorithms and renewable energy sources was found to have the potential to increase the efficiency and sustainability of energy management in metro systems. Finally, recommendations were provided to enhance energy continuity in metro operations and infrastructure during disaster scenarios, with a detailed examination of the potential contributions of advanced technologies.

International Journal of Advances in Engineering and Pure SciencesVol. 37(3)
Sağlık Bilimleri Üniversitesi (TR), Kocaeli Üniversitesi (TR)
Openalex Percentile: Top 74%
Infrastructure Resilience and Vulnerability Analysis
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