Physics-based foundations for cyber and market design in complex electric energy systems

In this paper we propose a Dynamic Modeling and Decision Systems (DyMonDS) framework for modeling, simulating and designing cyber in the changing electric energy systems. The approach is fundamentally physics-based, which helps identify the relevant multi-layered structure of their complex dynamics. The common thread throughout the paper is the idea that coupling within a complex interconnected system can be represented using energy stored in different components and the rate of energy exchange with the rest of the system. This idea supports modeling in a transformed state space which makes it possible to systematically design interactive cyber for managing dynamics of energy exchange for provable performance in the evolving multi-physics energy systems. We describe a general scalable DyMonDS simulator currently under the development by our group for demonstrating potential of newly proposed cyber.