Authors: Rabayet Sadnan, Shiva Poudel, Anamika Dubey, Kevin P Schneider
Publication Date: 5/24/2022
Journal: IEEE Transactions on Industrial Informatics
Abstract: The current practices for restoring critical services in the distribution system during a disaster align with the traditional centralized ideology of distribution systems operations. A central processor evaluates the distribution system after a disruption and attains a restoration plan. However, the centralized operational paradigm is to single-point failures, requires full situational awareness of the distribution system, and poses scalability challenges for large multi-feeder distribution systems. This motivates a distributed decision-making paradigm where multiple agents solve smaller sub-problems and jointly coordinate their individual decisions to achieve the global/network-level objective. Towards this goal, we propose a Layered Architecture for Distributed Algorithms for Resilience (LADAR) and a two-stage distributed algorithm for distribution system restoration. The proposed distributed decision-making framework enables the bottom-up restoration of the distribution system using all available resources, including distributed generation (DGs), while only requiring local awareness and limited communications with neighboring connected regions. The proposed framework is robust to single-point failures, enables autonomy using distributed algorithms, and had reduced computational cost compared to centralized optimization solutions.
*If you are a REP member or interested in viewing faculty research papers, contact esic.center@wsu.edu*