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A Localized Event-Driven Resilient Mechanism for Cooperative Microgrid Against Data Integrity Attacks
IEEE Transactions on Cybernetics ( IF 11.8 ) Pub Date : 2020-05-22 , DOI: 10.1109/tcyb.2020.2989225
Subham Sahoo , Jimmy Chih-Hsien Peng

This article investigates the impact of data integrity attacks (DIAs) on cooperative economic dispatch of distributed generators (DGs) in an ac microgrid. To establish resiliency against such attacks and ensure optimal operation, a localized event-driven attack-resilient scheme is proposed. Most of the existing works examine neighboring information to infer the presence of DIAs, where the detection is limited to events such as multiple link failures. Two kinds of DIAs are considered in this article—namely, fault and random attacks, which are segregated based on the final values of consensus updates. First, to improve the robustness of the detection theory, a localized resilient control update is designed by modeling each DG with a reference incremental cost. Second, event-driven control signal is generated for the local incremental cost and held upon the detection of attacks, to prevent malicious data from propagating to the neighboring nodes. The proposed strategy acts immediately upon the detection of DIA to ensure maximization in the economic profit. Furthermore, the proposed detection approach is theoretically verified and validated using simulation conditions.

中文翻译:

协作微电网对抗数据完整性攻击的局部事件驱动弹性机制

本文研究了数据完整性攻击 (DIA) 对交流微电网中分布式发电机 (DG) 协作经济调度的影响。为了建立对此类攻击的弹性并确保最佳操作,提出了一种局部事件驱动的攻击弹性方案。大多数现有工作检查相邻信息以推断 DIA 的存在,其中检测仅限于诸如多链路故障之类的事件。本文考虑了两种 DIA——即故障和随机攻击,它们根据共识更新的最终值进行隔离。首先,为了提高检测理论的鲁棒性,通过使用参考增量成本对每个 DG 进行建模来设计局部弹性控制更新。第二,事件驱动的控制信号是针对本地增量成本生成的,并在检测到攻击时保持,以防止恶意数据传播到相邻节点。提议的策略在检测到 DIA 后立即采取行动,以确保经济利润最大化。此外,所提出的检测方法使用模拟条件进行了理论上的验证和验证。
更新日期:2020-05-22
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