Data-driven Distributed Analytics and Control Platform for Smart Grid Situational Awareness

A conceptual, data-driven framework for organizing the data analytics and control functions in an electrical distribution network is proposed in this paper. The framework is built such that it tightly corresponds to the naturally existing physical hierarchy of typical radial distribution networks, allowing for an organized and highly-localized set of data storage and analytics processes, which in turn correspond well to likely control commands. By utilizing this structure, the computational entities in the framework are endowed with persistent local situational awareness. However, the framework also permits, through a series of tiered communications, the operation of a centralized authority for overall system observability and controllability.