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首页> 外文期刊>IEEE Transactions on Power Systems >Deeply Hidden Moving-Target-Defense for Cybersecure Unbalanced Distribution Systems Considering Voltage Stability
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Deeply Hidden Moving-Target-Defense for Cybersecure Unbalanced Distribution Systems Considering Voltage Stability

机译：考虑电压稳定性的网络安全不平衡分配系统深度隐藏的移动目标防御

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摘要

A recent proactive defense mechanism, named as moving-target-defense (MTD), has been proposed as a prevailing topic that is capable of actively changing transmission line reactance to preclude cyberattacks. However, the MTD strategy has seldom been studied for the unbalanced AC distribution system in the existing literature. Towards the end, this paper proposes a deeply-hidden MTD (DH-MTD) to elaborately hide both the self and mutual reactance of each phase at the transmission line installed with D-FACTS devices. Both the branch and injection power phasor measurement functions are integrated into DH-MTD in the cyberattack scenario and under the normal operating condition, while the system voltage stability is ensured. The proposed DH-MTD model is solved using a nonlinear least square (NLS) method based on the trust-region algorithm due to the non-Gaussian noise assumption. Also, we cope with the MTD allocation (MTDA) problem using a data-driven normalized PDF peak residual (NPPR) index. The effectiveness of the proposed DH-MTD method is demonstrated in the unbalanced IEEE 123-bus distribution system against both branch and node cyberattacks.
机译：最近作为移动目标防御（MTD）的最新主动防御机制已被提出作为一种主要的主题，该主题能够积极改变传输线路电抗以排除网络攻击。但是，在现有文献中，MTD策略很少针对不平衡的AC分配系统研究。朝前，本文提出了一种深隐隐式的MTD（DH-MTD），以便在用D型事实装置安装的传输线上精心隐藏每个阶段的自我和相互电抗。分支和喷射功率量相测量功能都集成在Cyber​​Actack场景中的DH-MTD中，并且在正常的操作条件下，确保了系统电压稳定性。由于非高斯噪声假设，使用基于信任区域算法的非线性最小二乘法（NLS）方法来解决所提出的DH-MTD模型。此外，我们使用数据驱动的标准化PDF峰值残差（NPPR）索引来应对MTD分配（MTDA）问题。提出的DH-MTD方法的有效性在对抗两个分支和节点网络内攻击的不平衡IEEE 123总线分配系统中。

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