Work

Cyber-physical coupled modelling for distributed coordination control of a new distribution system

Year: 2025

Type: article

Abstract: • A modelling method based on a unified adjacency matrix with time delay and other communication factors for the coupling architecture of new distribution system is proposed, which can effectively improve the system control effect in various communication scenarios. • A cyber-physical communication simulation strategy for communication anomaly scenario improvement is proposed, which can effectively avoid the impact of communication anomaly scenarios on the information transfer between nodes of cyber-physical coupling model. • A distributed coordination control strategy based on cost increment consensus algorithm is proposed, which is responsible for coordinating the primary and secondary agents for distribution networks and internal convergence, is beneficial to reduce the control complexity of the cluster. The peer-to-peer neighbour information exchange of the multi-agent system (MAS) and the update of their states may cause communication delays and even control errors. Hence, it is necessary to analyze distributed coordination control (DCC) issues influenced by communication conditions. To address these problems, this study proposes a cyber-physical coupled modelling (CPCM) method for MAS-based new distribution system (NDS). Firstly, the proposed method establishes a unified adjacency matrix model that covers the coupled power system model, communication system model and agent model. It also utilizes MAS-based DCC for processing information of primary and secondary control agents. Then, communication delays in the coupling process of each layer are calculated through hybrid computation, and the impacts of communication delay, congestion, and errors on DCC are analyzed. Finally, a simulation model is built in MATLAB/Simulink to demonstrate the effectiveness of the proposed CPCM and DCC methods.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.110644