As climate-driven disasters and energy disruptions become more frequent, building an intelligent, resilient, and adaptive power grid is essential. Centralized energy systems often falter during crises due to rigidity, bottlenecks, and single points of failure.
At ADAC Lab, we are pioneering the Hierarchical Collaborative Distributed Energy Management System (H-CoDEMS), a framework that redefines how microgrids operate and coordinate. H-CoDEMS uses a self-organizing, hierarchical architecture to deliver scalable and resilient management of distributed energy resources. With situational awareness and a distributed, consensus-based control strategy, microgrids can make cooperative decisions.
H-CoDEMS excels in disaster relief by restoring power to critical services, supports networked microgrids through coordination and reconfiguration, and enables virtual power plants by unifying distributed resources into reliable grid assets.
Publications:
[1]. A. Joshi and M. -Y. Chow, “Hierarchical Distributed Consensus-Based Energy Management in Networked Microgrids,” in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2025.3631236.
[2]. 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.
[3]. 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
[4]. 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.
