Adaptive home energy management for post-disaster microgrids with dynamic boundaries and variable power constraints
Electrical Engineering, cilt.108, sa.7, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 108 Sayı: 7
- Basım Tarihi: 2026
- Doi Numarası: 10.1007/s00202-026-03660-8
- Dergi Adı: Electrical Engineering
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Compendex, INSPEC, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: Dynamic microgrid boundaries, Energy management system, Post-disaster, Resiliency, Variable power limitation
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Power outages following disasters severely threaten critical residential needs such as heating, food preservation, and communication. These impacts significantly compromise occupants’ well-being. In this context, islanded microgrids have emerged as robust energy systems to maintain localized power supply and support post-disaster recovery. While the effectiveness of islanded microgrids has been enhanced through the adoption of dynamic boundaries, most existing studies evaluate these strategies at the microgrid or feeder level. However, their specific implications for individual residential buildings and home-level energy management remain largely unexplored. Addressing this issue, an Adaptive Home Energy Management System (A-HEMS) is proposed to enhance the resiliency of occupants who are exposed to variable power limitations arising from dynamically changing boundaries of islanded microgrids following disasters. The proposed A-HEMS is implemented as a dynamic control algorithm running at the household level. It periodically estimates the prospective remaining energy of the EV battery using short-term PV generation forecasts, asserted worst-case household demand, and time-varying power limits imposed by the microgrid operator. Thus, it can adaptively select an appropriate set of household appliances from groups that are systematically categorized based on their importance in post-disaster scenarios. In this way, A-HEMS aims to preserve occupants’ well-being by maintaining power supply to critical household loads and avoiding premature depletion of the EV battery under fluctuating conditions. Experimental validation confirms the practical feasibility of the proposed system, demonstrating a 331.14% increase in total energized duration, corresponding to an absolute extension of 18 h 26 min compared to conventional non-adaptive baseline and a 42.8–131.4% improve in the well-being index.