Wavelet entropy based algorithm for fault detection and classification in facts compensated transmission line

被引：0
|
作者：
El-Zonkoly, Amany M. [1 ]
Desouki, Hussein [1 ]
机构：
[1] Department of Electrical Engineering, Arab Academy for Science and Technology, Alexandria, Egypt
来源：
World Academy of Science, Engineering and Technology | 2011年 / 73卷
关键词：
Electric load flow - Electric lines - Fault detection - Power control - Discrete wavelet transforms - Entropy - Electric control equipment - Static synchronous compensators;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Distance protection of transmission lines including advanced flexible AC transmission system (FACTS) devices has been a very challenging task. FACTS devices of interest in this paper are static synchronous series compensators (SSSC) and unified power flow controller (UPFC). In this paper, a new algorithm is proposed to detect and classify the fault and identify the fault position in a transmission line with respect to a FACTS device placed in the midpoint of the transmission line. Discrete wavelet transformation and wavelet entropy calculations are used to analyze during fault current and voltage signals of the compensated transmission line. The proposed algorithm is very simple and accurate in fault detection and classification. A variety of fault cases and simulation results are introduced to show the effectiveness of such algorithm.
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页码：212 / 217
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