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Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 52-314
Full Name: Amany El-Zonkoly
Position: Associate Professor
Age: ON
Sex: Female
Address: Arab Academy for Science & Technology - Miami - Alexandria - Egypt - P.O.1029
Country: EGYPT
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E-mail address: amanyelz@yahoo.com
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Title of the Paper: Wavelet Entropy Based Algorithm for Fault Detection and Classification in FACTS Compensated Transmission Line
Authors as they appear in the Paper: Amany M. El-Zonkoly , Hussein Desouki
Email addresses of all the authors: amanyelz@yahoo.com
Number of paper pages: 11
Abstract: 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 and simple 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. The algorithm is suitable for the analysis of different types of faults. 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.
Keywords: Fault detection; Power systems; Wavelet transform; Entropy calculation; FACTS; SSSC; UPFC
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