A flocking-based dynamical systems paradigm for smart power system analysis

We propose a paradigm to model the cyber-physical interactions related to transient stability in a smart grid. In our multi-agent framework each node, representing both electrical and information system components, is modeled as having dynamics that synergistically describe physical and information couplings with neighboring agents. Physical behaviors are described through the application of swing equations to a reduced model of the electrical grid. Cyber-physical integrated action is formulated as a flocking control problem to achieve transient stability. Analysis and simulation demonstrate the potential of the paradigm to model cyber-physical smart grid dynamics as well as highlight strategies for effective distributed control.