可再生能源电力系统网络边界异常数据流检测

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI:10.1109/AUTEEE50969.2020.9315697

Zhang Lingkang, L. Yuwei, Jiang Xue

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引用次数: 1

摘要

随着越来越多的可再生能源电站建成并网，可再生能源电力系统的网络安全风险日益增大。本文分析了可再生能源电厂面临的典型网络攻击，研究了网络边界异常数据流检测技术，实现了对潜在威胁的识别，提高了可再生能源电力系统的网络安全防护水平。

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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Detection of Abnormal Data Flow at Network Boundary of Renewable Energy Power System

As more and more renewable energy stations are built and access the power grid, the network security risks of renewable energy power systems are increasing. This paper analyzes the typical network attacks that renewable energy plants face and researches the network boundary abnormal data flow detection technology to realize the identification of potential threats and improve the level of network security protection for renewable energy power system.

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来源期刊

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

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