Modeling Method for the Coupling Relations of Microgrid Cyber-Physical Systems

What is it about?

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.

Featured Image

Photo by FLY:D on Unsplash

Photo by FLY:D on Unsplash

Why is it important?

1) The cyclical conversion mechanism of information flow and energy flow is analyzed based on a typical microgrid structure, which improves the understanding of the closedloop ‘‘perceive-control’’ process. Moreover, a microgrid CPS architecture with multi-agents is constructed, which makes the physical unit, information unit, and connection mapping more intuitive. 2) A discrete-continuous correlation and terminal structure characteristic representation method for the CPS based on heterogeneous multi-groups is proposed. Hybrid automata are used to characterize discrete-continuous correlations, and the structure of the microgrid CPS terminal is given. Multiagents are used to characterize the structural characteristics of the CPS terminal, which can overcome the problem of traditional methods being unable to effectively characterize CPS characteristics. 3) Based on four defined spatiotemporal events, a coupling model of a microgrid CPS driven by hybrid spatiotemporal events is innovatively proposed, which compensates for the shortcomings of traditional modeling methods being unable to accurately describe the spatio-temporal deduction process of some scenes. This improves the accuracy of describing the spatiotemporal deduction process of data flow.

Perspectives