Wavelet singular entropy-based symmetrical fault-detection and out-of-step protection during power swing
Wavelet singular entropy-based symmetrical fault-detection and out-of-step protection during power swing
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DOI：
10.1049/iet-gtd.2012.0528
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发表时间：
2013-10-01
影响因子：
2.5
通讯作者：
Samantaray, Subhransu Ranjan
中科院分区：
文献类型：
--
作者：
Dubey, Rahul;Samantaray, Subhransu Ranjan
故障检测和失步保护功能是处理功率摆动条件下距离保护的两个重要要求。在所提出的研究中，第一部分重点研究了基于小波熵的功率稳定摆动时的失步阻塞函数和功率不稳定摆动时的跳闸函数。该过程首先提取功率摆动过程中的当前信号样本，然后对其进行小波变换处理，得到奇异值，用来计算Shannon熵，称为小波奇异熵。此外，还计算了功率摆动指标，以区分稳定功率摆动和不稳定功率摆动。第二部分计算基于WSE的指标来区分故障和电力摆动。WSE在功率摆动期间阻止继电器，并根据设定的阈值在故障情况下发出跳闸信号。该技术在不同的稳定和不稳定功率摆动条件下进行了广泛的测试，提高了功率摆动故障检测的响应时间，并区分了稳定和不稳定的功率摆动。
Fault-detection and out-of-step protection functions are two important requirements in distance relays while dealing with power-swing conditions. In the proposed research, the first part focuses on developing wavelet entropy-based out-of-step blocking function during stable power swing and tripping function during unstable power swing. The process starts at retrieving the current signal samples during power swing and process it through wavelet transform to derive singular values, used to find out Shannon entropy, called wavelet singular entropy (WSE). Further, the power swing indicators are computed to distinguish stable power swing from unstable ones. The second part computes WSE-based indicator to distinguish faults from power swing. The WSE blocks the relay during power swing and issue the tripping signal during fault conditions based on a set threshold. The proposed technique is extensively tested for different stable and unstable power swing conditions providing improved response time for fault detection during power swing and distinguishing stable power swings from unstable ones.