  The essence of the microgrid cyber-physical system (CPS) lies in the cyclical
conversion of information flow and energy flow. Most of the existing coupling
models are modeled with static networks and interface structures, in which the
closed-loop data flow characteristic is not fully considered. It is difficult
for these models to accurately describe spatiotemporal deduction processes,
such as microgrid CPS attack identification, risk propagation, safety
assessment, defense control, and cascading failure. To address this problem, a
modeling method for the coupling relations of microgrid CPS driven by hybrid
spatiotemporal events is proposed in the present work. First, according to the
topological correlation and coupling logic of the microgrid CPS, the cyclical
conversion mechanism of information flow and energy flow is analyzed, and a
microgrid CPS architecture with multi-agents as the core is constructed. Next,
the spatiotemporal evolution characteristic of the CPS is described by hybrid
automata, and the task coordination mechanism of the multi-agent CPS terminal
is designed. On this basis, a discrete-continuous correlation and terminal
structure characteristic representation method of the CPS based on
heterogeneous multi-groups are then proposed. Finally, four spatiotemporal
events, namely state perception, network communication, intelligent
decision-making, and action control, are defined. Considering the constraints
of the temporal conversion of information flow and energy flow, a microgrid CPS
coupling model is established, the effectiveness of which is verified by
simulating false data injection attack (FDIA) scenarios.

Signal Processing;Systems and Control;Systems and Control