Microgrid has emerged as a promising solution for disaster relief scenarios by enabling the rapid and efficient integration of DERs. However, under highly dynamic and complex disaster environment, microgrid energy management system (EMS) still faces a critical challenge: how to adapt objective functions in response to dynamically changing external conditions to achieve timely and resilient responses.
To address this issue, we have developed an adaptive objective function inference and selection (AOFIS) method for disaster relief microgrids. An objective function library is established, composing multiple objective functions designed for diverse disaster scenarios. A fuzzy inference system is then developed to adaptively assign weights to these objectives, reflecting their relative priorities under the prevailing environmental conditions. The highest-priority objective functions can be dynamically selected from the library and aggregated into a weighted single-objective scheduling model together with operating constraint to better fit the current power supply needs and environment. In addition, an EMS research and development (R&D) fast prototyping platform with integrated software libraries and a hardware-in-the-loop (HIL) system is developed to support rapid prototyping, testing, monitoring, and visual demonstration of EMS solutions for disaster applications.
Publications:
[1] Zhiyu Long and Mo-Yuen Chow, “An ems research and development fast prototyping platform for disaster relief,” IEEE/CAA Journal of Automatica Sinica, 2025, (accepted).
[2] Zhiyu Long and Mo-Yuen Chow, “Multi-objective energy scheduling with fuzzy logic-based weight tuning for disaster relief,” in 2025 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), 2025, (accepted).
[3] Zhiyu Long and Mo-Yuen Chow, “Objective function library and adaptive objective selection for resilient microgrids in disaster relief,” in 2026 27th IEEE International Conference on Industrial Technology (ICIT), 2026, (submitted).
[4] Zhiyu Long and Mo-Yuen Chow, “Adaptive Objective Function Inference and Selection-Based Distributed Energy Scheduling (AOFIS-DES) in Disaster Relief Microgrids,” IEEE Transactions on Industrial Informatics, 2026, (submitted).
