System structuring of a two area four machine power system

Today's power systems are undergoing an evolutionary transformation where novel sensors, organized as sensor networks, are providing tremendous amounts of real-time data that is useful for improving situational awareness. It is becoming increasing evident in large-scale power systems, as in many other applications, that the associated big data is both an opportunity and a challenge. In this paper we describe an approach that merges important concepts from information theory, applied to cyber-physical systems (CPS), with a computational method for modeling large-scale cyber-physical systems, referred to as System Structure. An important aspect of the proposal approach is the interpretation of a large-scale cyber-physical system as an information processing network, where System Structure provides an approach for quantify interactions between nodes in the network, through the computation of system measures.