Hierarchical Location Identification of Destabilizing Faults and Attacks in Power Systems: A Frequency-Domain Approach
Hierarchical Location Identification of Destabilizing Faults and Attacks in Power Systems: A Frequency-Domain Approach
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DOI：
10.1109/tsg.2017.2787690
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发表时间：
2019-03
影响因子：
9.6
通讯作者：
Sajjad Amini;F. Pasqualetti;M. Abbaszadeh;Hamed Mohsenian-Rad
中科院分区：
文献类型：
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作者：
Sajjad Amini;F. Pasqualetti;M. Abbaszadeh;Hamed Mohsenian-Rad
提出了一种基于优化的数据驱动方法，用于识别电力系统中不稳定故障和攻击的未知位置。本文中的分析在电力系统内检测到不稳定故障或攻击的关键时刻开始;因此，迫切需要确定受影响的发电机或负载的位置，以便采取适当有效的检测后措施。所提出的方法在频域中工作。它不需要事先了解受影响位置的数量。它可以准确地识别正确的位置，并防止误报。它在计算上比其时域对应物更有效。重要的是，它非常适合以分层的方式实现，例如在广域监控系统中的应用。IEEE 9和IEEE 39节点测试系统的各种案例研究验证了所提出的算法的性能。
An optimization-based data-driven approach is proposed to identify the unknown location(s) of destabilizing faults and attacks in power systems. The analysis in this paper kicks in at the critical moment where the presence of destabilizing fault or attack is detected within the power system; therefore, there is an immediate need to identify the location(s) of the affected generators or loads in order to enable proper and effective post-detection measures. The proposed method works in frequency-domain. It does not require prior knowledge about the number of affected location(s). It is accurate in identifying the correct locations and also in preventing false alarms. It is computationally more efficient than its time-domain counterparts. Importantly, it is well-suited to be implemented in a hierarchical fashion, with applications such as in wide area monitoring systems. Various case studies on IEEE 9 and IEEE 39 bus test systems verified the performance of the proposed algorithms.