基于多智能体系统的多区域电力系统虚假数据注入攻击下负荷频率控制

IF 1.9 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Distributed Sensor Networks Pub Date : 2022-04-01 DOI:10.1177/15501329221090469

Tengfei Weng, Yan Xie, Guorong Chen, Qi Han, Yuan Tian, Liping Feng, Yangjun Pei

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引用次数: 1

摘要

研究了在虚假数据注入攻击下，基于多智能体系统的多区域电力系统负荷频率控制方法。该方法可以为多区域电力系统在虚假数据注入攻击下的负荷频率控制提供更好的解决方案。首先，引入事件触发机制来决定哪些数据应该在控制器中传输，以节省有限的网络带宽。此外，利用伯努利随机变量建立了网络攻击模型。然后，给出了在攻击下保持系统渐近稳定的条件。最后，通过仿真验证了本文所提理论的有效性。

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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Load frequency control under false data inject attacks based on multi-agent system method in multi-area power systems

This article considers the load frequency control of multi-area power system-based multi-agent system method under false data injection attacks. The research can provide better solutions for multi-area power system load frequency control under false data injection attacks. First, an event-triggered mechanism is introduced to decide which data should be transmitted in the controller to save the limited network bandwidth. Besides, a model of cyberattacks is built using the Bernoulli random variables. Then, conditions are given for maintaining the system asymptotic stability under attack. Finally, simulations are performed to demonstrate the validity of the theory proposed in this article.

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来源期刊

International Journal of Distributed Sensor Networks 工程技术-电信学

CiteScore

6.50

自引率

4.30%

发文量

审稿时长

3.6 months

期刊介绍： International Journal of Distributed Sensor Networks (IJDSN) is a JCR ranked, peer-reviewed, open access journal that focuses on applied research and applications of sensor networks. The goal of this journal is to provide a forum for the publication of important research contributions in developing high performance computing solutions to problems arising from the complexities of these sensor network systems. Articles highlight advances in uses of sensor network systems for solving computational tasks in manufacturing, engineering and environmental systems.