异常检测技术用于保护微电网免受虚假数据攻击
Kunal Kumar1, Prince Kumar2, Susmita Kar1
1Department of Electrical Engineering, National Institute of Technology Rourkela, Odisha, India.
ISA transactions
|August 10, 2024
概括
本研究介绍了一种反复免费检测虚假数据 (IFDFD) 计划,用于打击微电网中的网络攻击. 该IFDFD方法有效地检测到虚假数据注入攻击 (FDIA),威胁到微电网状态估计和可靠性.
科学领域:
- 电气工程 电气工程
- 网络安全 网络安全
- 电力系统 电力系统
背景情况:
- 微电网 (MG) 依赖于信息和通信技术,因此容易受到网络攻击.
- 虚假数据注入攻击 (FDIA) 对MG状态估计 (SE) 和操作完整性构成重大威胁.
- 现有的网络安全措施很难在动态的MG环境中解决复杂的FDIA.
研究的目的:
- 提出一个高效的反复无误数据检测 (IFDFD) 方案,用于检测微电网状态估计中的FDIA.
- 增强微电网网络安全的稳定性,防止复杂的虚假数据注入攻击.
- 通过先进的检测机制,提高微电网运行的可靠性和安全性.
主要方法:
- 拟议的IFDFD方案使用复杂的微相位测量单元 (μPMU) 测量.
- 节点电量注入被计算出来,以确定指示FDIA的差异.
- 采用集成的S-估计器来减轻环境因素和部件老化造成的噪声误差,提高了强度.
主要成果:
- 该IFDFD方案在经过修改的IEEE 14总线测试系统中检测FDIA具有很高的有效性,其中包括集成的分布式发电 (DG).
- 通过模拟虚假数据注入的验证证实了该计划能够准确识别恶意数据的能力.
- 与现有方法进行的比较分析显示,拟议的IFDFD计划的表现优越.
结论:
- 开发的IFDFD方案为在微电网状态估计中检测FDIA提供了高效和强大的解决方案.
- 集成S估计器提高了该计划对复杂网络威胁的弹性.
- 这些发现证实了拟议的IFDFD计划是确保微电网运营的关键进展.
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