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arXiv 2402.13617eess.SYcs.SY
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面向电力电子系统的单片式网络安全架构

A Monolithic Cybersecurity Architecture for Power Electronic Systems

Kirti Gupta, Subham Sahoo, Bijaya Ketan Panigrahi

AI总结:

本文提出一种面向分布式能源资源的单片式网络安全架构,通过将语义原则融入采样过程并利用内控制层动态重建信号,以统一方式同时应对多种网络攻击,提升电力电子系统的弹性。

摘要:

电力电子系统(PES)面临来自各种数据可用性和完整性攻击的重大威胁,这些攻击显著影响通信网络的性能和电力系统的运行。因此,多种攻击检测与重建技术被部署,这使得网络安全运营平台成本高昂且复杂,同时在应对未来威胁的缓解扩展方面存在较大空间。与上述传统安排不同,本文提出一种基础性方法,通过将语义原则融入分布式能源资源(DER)的采样过程,建立单片式网络安全架构(MCA)。该统一方法利用内控制层的动态特性重建信号,从而同时补偿网络攻击带来的入侵挑战。该重建过程考虑了关键的语义属性,如优先级(Priority)、新鲜度(Freshness)和相关性(Relevance),以确保弹性的动态性能。因此,所提方案为同时应对全局性网络攻击、提升PES的弹性提供了一条通用路径。最后,在改进的IEEE 69节点配电系统以及真实世界的南加州爱迪生(SCE)47节点网络上,利用OPAL-RT在多种运行条件下进行了严格验证,结果凸显了该方案的鲁棒性、无模型设计能力、可扩展性,以及对动态网络图和系统重构的适应性。

英文摘要:

Power electronic systems (PES) face significant threats from various data availability and integrity attacks, significantly affecting the performance of communication networks and power system operation. As a result, several attack detection and reconstruction techniques are deployed, which makes it a costly \& complex cybersecurity operational platform with significant room for incremental extensions for mitigation against future threats. Unlike the said traditional arrangements, our paper introduces a foundational approach by establishing a monolithic cybersecurity architecture (MCA) via incorporating semantic principles into the sampling process for distributed energy resources (DERs). This unified approach concurrently compensates for the intrusion challenges posed by cyber attacks by reconstructing signals using the dynamics of the inner control layer. This reconstruction considers essential semantic attributes, like Priority, Freshness, and Relevance to ensure resilient dynamic performance. Hence, the proposed scheme promises a generalized route to concurrently tackle a global set of cyber attacks in elevating the resilience of PES. Finally, rigorous validation on a modified IEEE 69-bus distribution system and a real-world South California Edison (SCE) 47-bus network, using OPAL-RT under diverse operating conditions, underscores its robustness, model-free design capability, scalability, and adaptability to dynamic cyber graphs and system reconfiguration.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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