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A Malicious Attack Modeling Method for Source-Grid-Load System Based on Petri Net

机译:基于Petri网的源网格负载系统恶意攻击建模方法

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The development of smart grid improves the observability and controllability of power system. Meanwhile, the reliability of information support system has an increasingly important impact on the safe and stable operation of power system. In the source-grid-load (SGL) system, the design purpose of fast and precise load control for fault mitigation raises higher requirements on controllability. Malicious attacks against the SGL system may lead to serious consequences. To evaluate the security and reliability of SGL system, this paper focuses on malicious attacks against SGL system, and models the attacks with Petri net. Probability of successful attacks that damage the system function is also calculated. On this basis the risk of network attack faced by SGL system is evaluated. Finally, the validity of the proposed modeling method is verified by case study. With the deep integration of industrial control system (ICS) and Internet technology, the security problem of industrial control system is becoming more and more significant. The continuous development and use of power system control equipment and technology make the power system a typical example of industrial control system.
机译:智能电网的发展提高了电力系统的可观测性和可控性。同时,信息支持系统的可靠性对电力系统的安全稳定运行有着越来越重要的影响。在源电网负荷(SGL)系统中,快速,精确的负荷控制以减轻故障的设计目的对可控性提出了更高的要求。对SGL系统的恶意攻击可能会导致严重的后果。为了评估SGL系统的安全性和可靠性,本文重点针对SGL系统的恶意攻击,并使用Petri网对攻击进行建模。还计算了破坏系统功能的成功攻击的概率。在此基础上,评估了SGL系统面临的网络攻击风险。最后,通过案例研究验证了所提建模方法的有效性。随着工业控制系统(ICS)和Internet技术的深度集成,工业控制系统的安全问题变得越来越重要。电力系统控制设备和技术的不断发展和使用,使电力系统成为工业控制系统的典范。

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