A Bayesian Network Framework for Operations of Circuit Breakers

Abstract

The digitalization of the electric grid is a major trend in today's energy industry and, especially with smart grid implementations, it is driving the innovation process in the whole sector. In particular, advanced analytics applications, e.g., prognostics, decision systems, and energy efficiency management, are gaining more and more importance for the involved players. This paper proposes a framework for the operation and support of circuit breakers during their entire operational life, i.e., components replacement and maintenance strategies. This is done by means of tools from the field of artificial intelligence, i.e., Probabilistic Graphical Models (PGMs). PGMs provide an easy and intuitive way to model dependencies and causalities, thus, an actionable solution for companies operating on the field.