Decision Support for Smart Grid: Using Reasoning to Contextualize Complex Decision Making
Edward R. Griffor, David A. Wollman, Patrick Kamongi, Claire Vishik, Michael Huth, Marcello Balduccini
The smart grid is a complex cyber-physical system (CPS) that poses challenges related to scale, integration, interoperability, processes, governance, and human elements. The US National Institute of Standards and Technology (NIST) and its government, university and industry collaborators, developed an approach, called CPS Framework, to reasoning about CPS across multiple levels of concern and competency, including trustworthiness, privacy, reliability, and regulatory. The approach uses ontology and reasoning techniques to achieve a greater understanding of the interdependencies among the elements of the CPS Framework model. This paper demonstrates that the approach extends naturally to automated and manual decisionmaking for smart grids: we apply it to smart grid use cases, and illustrate how it can be used to analyze grid topologies and address concerns about the smart grid. Smart grid stakeholders, whose decision making may be assisted by this approach, include planners, designers and operators.
, Wollman, D.
, Kamongi, P.
, Vishik, C.
, Huth, M.
and Balduccini, M.
Decision Support for Smart Grid: Using Reasoning to Contextualize Complex Decision Making, CPS and IoT Week 2019, Montreal, -1, [online], https://doi.org/10.1109/MSCPES.2019.8738798
(Accessed September 27, 2021)