Malicious Corruption-Resilient Wide-Area Oscillation Monitoring using Online Robust PCA
Malicious Corruption-Resilient Wide-Area Oscillation Monitoring using Online Robust PCA
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DOI：
10.1109/pesgm.2018.8586404
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发表时间：
2018-08
期刊：
影响因子：
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通讯作者：
Kaveri Mahapatra;N. Chaudhuri
中科院分区：
文献类型：
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作者：
Kaveri Mahapatra;N. Chaudhuri
PMU测量中存在来自网络攻击的恶意注入，可能会影响电力系统的运行和稳定。提出了一种检测PMU测量中恶意数据注入的方法。恶意注入的检测问题被描述为一个压缩感知问题，并且使用基于稳健主元分析的算法来恢复被破坏的信号。考虑了对PMU数据的不同恶意注入攻击模式，并分析了该算法在广域振荡监测应用中的破坏和重构的影响。使用一个16机、5个区域的新英格兰-纽约系统的数据和递归振荡监测算法，测试和验证了所提出的方法在环境和暂态条件下正确检测和重构PMU信号的有效性。
Presence of malicious injection originating from cyber attacks in PMU measurements can potentially affect the operation and stability of power system. This paper presents a method for detecting malicious data injections in PMU measurements. The problem of detection of malicious injections is formulated as a compressed sensing problem and the corrupted signals are recovered using a robust PCA-based algorithm. Different patterns of malicious injection attacks on PMU data are considered and the effect of corruption and reconstruction using the algorithm is analyzed on a wide-area oscillation monitoring application. Data from a 16-machine, 5-area New England-New York system is used along with a recursive oscillation monitoring algorithm to test and validate the effectiveness of the proposed approach on correct detection and reconstruction of the PMU signals under both ambient and transient conditions.