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

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2025-04-18 DOI:10.1016/j.ijepes.2025.110644

Wei Liu , Yufei Wang , Wei Gu , Xi Chen , Dehu Zou , Xuechang Yu , Zhihao Qian

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引用次数: 0

Abstract

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.

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新型配电系统分布式协调控制的网络物理耦合建模

多智能体系统（MAS）的对等邻居信息交换和状态更新可能导致通信延迟甚至控制错误。因此，有必要分析受通信条件影响的分布式协调控制问题。为了解决这些问题，本研究提出了一种基于mas的新型配电系统（NDS）的网络物理耦合建模（CPCM）方法。该方法首先建立了一个统一的邻接矩阵模型，该模型涵盖了耦合电力系统模型、通信系统模型和智能体模型；它还利用基于mas的DCC来处理主控制代理和辅助控制代理的信息。然后，通过混合计算计算了各层耦合过程中的通信延迟，分析了通信延迟、拥塞和错误对DCC的影响。最后，在MATLAB/Simulink中建立仿真模型，验证了所提出的CPCM和DCC方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.