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<p>Post-disaster energy management in residential microgrids faces a critical limitation: existing approaches prioritize system-level optimization over individual user needs during emergencies. When residents rely on battery storage or electric vehicles for extended power outages, current frameworks cannot accommodate diverse household priorities based on medical needs, work requirements, or personal circumstances. This paper introduces a novel user-centric resilience framework that empowers end-users to define their own load priorities (High, Medium, Low) for islanded DC microgrids during emergency scenarios. The proposed system implements battery state-of-charge threshold-based switching with real-time adaptability to user-defined priority configurations. Four new resilience metrics are developed: Priority-Based Load Serving Capability (PLSC), Critical Load Restoration Time (CLRT), Load Shedding Efficiency (LSE), and Resilience Index (RI) to quantify performance under user-controlled conditions. Unlike recent studies that rely exclusively on computer simulations, this work provides experimental validation using a physical DC microgrid testbed with real hardware components. Results demonstrate 65% faster critical load restoration compared to sequential approaches and 7% sensitivity variation across different user priority configurations. The framework specifically targets post-disaster scenarios in disaster-prone regions, addressing a critical gap in community resilience preparedness. This patent-pending approach represents the first hardware-validated framework for user-customizable load prioritization in emergency power systems, offering practical solutions for diverse household needs during extended grid outages.</p>

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Resilience-oriented intelligent load management to enhance outage response

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月29日

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  • Kouhyar Sheida,
  • Shayan Ebrahimi,
  • Mohammad Seyedi,
  • Farzad Ferdowsi

摘要

Post-disaster energy management in residential microgrids faces a critical limitation: existing approaches prioritize system-level optimization over individual user needs during emergencies. When residents rely on battery storage or electric vehicles for extended power outages, current frameworks cannot accommodate diverse household priorities based on medical needs, work requirements, or personal circumstances. This paper introduces a novel user-centric resilience framework that empowers end-users to define their own load priorities (High, Medium, Low) for islanded DC microgrids during emergency scenarios. The proposed system implements battery state-of-charge threshold-based switching with real-time adaptability to user-defined priority configurations. Four new resilience metrics are developed: Priority-Based Load Serving Capability (PLSC), Critical Load Restoration Time (CLRT), Load Shedding Efficiency (LSE), and Resilience Index (RI) to quantify performance under user-controlled conditions. Unlike recent studies that rely exclusively on computer simulations, this work provides experimental validation using a physical DC microgrid testbed with real hardware components. Results demonstrate 65% faster critical load restoration compared to sequential approaches and 7% sensitivity variation across different user priority configurations. The framework specifically targets post-disaster scenarios in disaster-prone regions, addressing a critical gap in community resilience preparedness. This patent-pending approach represents the first hardware-validated framework for user-customizable load prioritization in emergency power systems, offering practical solutions for diverse household needs during extended grid outages.