Smart Grid and wind generators: an overview of cyber threats and vulnerabilities of power supply networks

Q3 Computer Science Radioelectronic and Computer Systems Pub Date : 2022-11-29 DOI:10.32620/reks.2022.4.04
Ihor Fursov, Klym Yamkovyi, Oleksandr Shmatko
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引用次数: 3

Abstract

The subject of this study is the cyber vulnerability of wind generators, as part of the cyberphysical system of intelligent power supply networks, Smart Grid. Wind generators produce electricity for further distribution in the network between «smart» electricity consumers, which often include autonomous power systems in medical institutions, autonomous power supply of homes, charging stations for cars, etc. Wind generators operate in two aspects: in the physical and information space. Thus, a violation of the security of the information flow of a wind generator can affect the physical performance of electricity generation, and disable equipment. The study aims to identify types of cyber threats in the wind generator network based on the analysis of known attack incidents, analysis of the Smart Grid network structure, network devices, protocols, and control mechanisms of a wind generator. The tasks of the work are: review and analyze known cyberattack incidents; review the classification of cyber threats to wind farms; consider the most common methods of attacks on the cyberphysical system of wind farms; consider ways of intrusions into the information flow of the cyberphysical system wind generator; consider resilience mechanisms of wind generators in case of a cyberattack, consider the directions of further research. The methods are a systematic approach that provides a comprehensive study of the problem, quantitative and qualitative analysis of incidents of cyber attacks on wind generators, and methods of attacks. The following results were obtained: 11 large-scale known incidents of cyber attacks on the cyberphysical systems of the energy sector and smart power supply networks were analyzed, and information flow features and structure of the wind generators were considered. Main communication interfaces of the Smart Grid network were reviewed, control mechanisms for the physical parts of the wind generator system such as automatic voltage regulator, and automatic generation control were observed, vulnerable data transmission protocols, DNP3 in particular, were analyzed, possible consequences in the case of a cyber-intrusion into the network were considered. Conclusions: wind farms, as part of the Smart Grid system, are a convenient target for cyberattacks, as the number of potential ways to interfere with the information flow of the cyberphysical system is growing due to an increase in the number of sensors, communication channels in the network. This is especially important for the further development of wind farm security systems, which at the time, are not able to provide high accuracy of intrusion detection into the information flow.
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智能电网和风力发电机:供电网络的网络威胁和漏洞概述
本研究的主题是风力发电机的网络脆弱性,作为智能电网网络物理系统的一部分。风力发电机产生的电力在“智能”电力消费者之间的网络中进一步分配,这些消费者通常包括医疗机构的自主电力系统、家庭的自主电力供应、汽车充电站等。风力发电机在两个方面运行:物理空间和信息空间。因此,违反风力发电机信息流的安全可以影响发电的物理性能,并使设备失效。本研究旨在通过对已知攻击事件的分析,以及对智能电网网络结构、网络设备、协议和风力发电机控制机制的分析,识别风力发电机网络中的网络威胁类型。工作内容包括:检讨及分析已知的网络攻击事件;审查风电场网络威胁的分类;考虑一下风力发电场网络物理系统最常见的攻击方法;考虑入侵网络物理系统风力发电机信息流的方法;考虑风力发电机在网络攻击情况下的恢复机制,考虑进一步研究的方向。该方法是一种系统的方法,提供了对问题的全面研究,对风力发电机网络攻击事件的定量和定性分析,以及攻击方法。研究结果如下:分析了已知的11起针对能源部门网络物理系统和智能供电网络的大规模网络攻击事件,并考虑了风力发电机组的信息流特征和结构。回顾了智能电网的主要通信接口,观察了风力发电系统的自动调压器、自动发电控制等物理部分的控制机制,分析了易受攻击的数据传输协议,特别是DNP3协议,并考虑了网络入侵可能造成的后果。结论:风力发电场作为智能电网系统的一部分,是网络攻击的方便目标,因为由于网络中传感器和通信通道数量的增加,干扰网络物理系统信息流的潜在方法正在增加。这对于风力发电场安全系统的进一步发展尤其重要,因为目前风力发电场安全系统还不能对信息流提供高精度的入侵检测。
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来源期刊
Radioelectronic and Computer Systems
Radioelectronic and Computer Systems Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
3.60
自引率
0.00%
发文量
50
审稿时长
2 weeks
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