The electric power system is vital to national infrastructure, yet vulnerable to natural disasters. Traditional centralized control strategies are prone to single points of failure and high computational costs. In contrast, distributed energy management systems (EMS) offer improved resilience by reducing failure risks and easing communication bottlenecks—crucial for emergency response.
During disasters, when grid infrastructure is damaged or destroyed, distributed EMS-enabled microgrids can restore power to critical facilities like hospitals and emergency centers. However, these systems face challenges in scalability, convergence speed, and real-time reconfigurability—especially in large-scale, time-sensitive scenarios.
To overcome the state of the art challenges, our research lab (ADAC) has proposed a novel Dynamic Energy Management System (D-EMS) framework for microgrids to perform self-reorganization for the Hierarchical Collaborative Distributed Energy Management Systems (H-CoDEMS) automatically and in a hierarchical structure to achieve log-scale scalability, fast convergence and reconfigurability. Leveraging situational awareness and intelligent management, the system adopts a hierarchical distributed consensus framework to enable fast and collaborative decision-making. This ensures efficient power system scheduling operations, allowing for rapid power restoration and ultimately saving lives.
Publications:
[1]. S. Capezza, A. Joshi and M. -Y. Chow, “Hierarchical Distributed Consensus Based Economic Dispatch of Distributed Energy Resources (DERs) for Networked Microgrids,” 2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES), Shanghai, China, 2023, pp. 1-6, doi: 10.1109/IESES53571.2023.10253706.
[2]. S. Capezza, A. Joshi and M. -Y Chow, “Weighted Hierarchical Consensus based Economic Dispatch Utilizing Cluster Size Estimation for Networked Microgrids,” IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 01-06, doi: 10.1109/IECON51785.2023.10312209.
[3]. A. Joshi and M. -Y. Chow, “Hierarchical Distributed Consensus Based Networked Microgrid Energy Management For Disaster Relief,” 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), Kristiansand, Norway, 2024, pp. 1-6, doi: 10.1109/ICIEA61579.2024.10665212.
[4]. A. Joshi, S. Capezza and M. -Y. Chow, “Strategic Leader Selection and Cluster Formation in Hierarchical Networked Microgrids,” 2024 IEEE Power & Energy Society General Meeting (PESGM), Seattle, WA, USA, 2024, pp. 1-5, doi: 10.1109/PESGM51994.2024.10688456.
