Intrusion Detection in Distributed Frequency Control of Isolated Microgrids
Intrusion Detection in Distributed Frequency Control of Isolated Microgrids
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DOI：
10.1109/tsg.2019.2906573
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发表时间：
2019-03
影响因子：
9.6
通讯作者：
Lin-Yu Lu;H. Liu;Hao Zhu;C. Chu
中科院分区：
文献类型：
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作者：
Lin-Yu Lu;H. Liu;Hao Zhu;C. Chu
提出了一种孤立微电网分布式频率控制和入侵检测的框架。首先，提出了一种用于隔离MG的分布式次级控制，该次级控制由初级级的局部下垂控制和次级级的分布式节点到节点更新组成，用于在保持标称系统频率的同时实现比例功率共享。通过铸造它作为一个共识优化问题，我们采用了部分原始-对偶算法的完全分布式更新只需要相邻的信息交换。攻击模型以及通信网络上的恶意攻击的对策进行了研究。研究了通信网络上的两类恶意攻击，包括链路攻击和节点攻击。基于模型的异常检测和定位策略，通过探索双变量相关的度量。数值实验证明了所提出的控制和对策指标的有效性。
This paper presents a framework for distributed frequency control and intrusion detection in isolated microgrids (MGs). First, a distributed secondary control for isolated MGs, consisting of the local droop control at the primary level and a distributed node-to-node update at the secondary level, is proposed for achieving a proportional power sharing while maintaining the nominal system frequency. By casting it as a consensus optimization problem, we adopt the partial primal–dual algorithm for a totally distributed update requiring only neighboring information exchange. Attack models as well as countermeasures for malicious attacks on the communication network are also investigated. Two types of malicious attacks on the communication network, including link and node attacks, are studied. Model-based anomaly detection and localization strategies are developed by exploring the dual variable-related metrics. Numerical experiments have been performed to demonstrate the effectiveness of the proposed control and countermeasure metrics.