Advanced algorithm to detect stealthy cyber attacks on automatic generation control in smart grid

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Cyber-Physical Systems: Theory and Applications Pub Date : 2020-10-15 DOI:10.1049/iet-cps.2019.0074
Fatemeh Akbarian, Amin Ramezani, Mohammad-Taghi Hamidi-Beheshti, Vahid Haghighat
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引用次数: 5

Abstract

One of the basic requirements of today's sophisticated world is the availability of electrical energy, and neglect of this matter may have irreparable damages such as an extensive blackout. The problems which were introduced about the traditional power grid, and also, the growing advances in smart technologies make the traditional power grid go towards smart power grid. Although widespread utilisation of telecommunication networks in smart power grid enhances the efficiency of the system, it will create a critical platform for cyber attacks and penetration into the system. Automatic generation control (AGC) is a fundamental control system in the power grid, and it is responsible for controlling the frequency of the grid. An attack on the data transmitted through the telecommunications link from the sensors to the AGC will cause frequency deviation, resulting in disconnection of the load, generators and ultimately global blackout. In this study, by using a Kalman filter and a proposed detector, a solution has been presented to detect the attack before it can affect the system. Contrary to existing methods, this method is able to detect attacks that are stealthy from the area control error signal and χ2 -detector. Simulations confirm the effectiveness of this method.

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智能电网自动发电控制隐身网络攻击检测算法研究
当今复杂世界的基本要求之一是电能的可用性,忽视这一问题可能会造成无法弥补的损害,例如大面积停电。传统电网存在的问题以及智能技术的不断发展,使传统电网向着智能电网的方向发展。尽管在智能电网中广泛使用电信网络提高了系统的效率,但它将为网络攻击和渗透系统创造一个关键平台。自动发电控制(AGC)是电网中的一项基本控制系统,它负责控制电网的频率。对通过电信链路从传感器传输到AGC的数据进行攻击将导致频率偏差,导致负载和发电机断开连接,最终导致全球停电。在本研究中,通过使用卡尔曼滤波器和提出的检测器,提出了在攻击影响系统之前检测攻击的解决方案。与现有方法不同的是,该方法能够从区域控制误差信号和χ2检测器中检测出隐蔽的攻击。仿真结果验证了该方法的有效性。
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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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