Fault Detection & Classification in UPFC Integrated Transmission Line Using DWT

Fault detection and classification in UPFC (Unified Power Flow Controller) integrated transmission line using single terminal based DWT (Discrete Wavelet Transform) is proposed. The current is extracted from the sending end bus and processed through wavelet transform to evaluate the spectral energy (SE) using db4 mother wavelet. Three level decomposition is framed to extract the fundamental frequency component from non-stationary signal, considering sampling frequency of 2kHz system. The fundamental frequency component of respective phase currents are used to compute SE at sending end. The SE of individual phase current is the key factor for deciding the fault pattern detection and classification. The advantage of using this it requires less cost and protect entire transmission line with minimal fault detection time. The various types of fault (L-G, L-L, L-L-G, L-L-L) are simulated by considering the parameter like fault resistance, source impedance, fault inception angle, multi-location fault, reverse power flow and UPFC system parameter. The scheme works reliable and efficient to detect and classify the fault within a cycle of sample period 40 or a cycle of time period 20ms compared to other conventional relaying scheme.

[1]  Sarah Azimi,et al.  Concurrent Detection and Classification of Faults in Matrix Converter using Trans-Conductance , 2014 .

[2]  Subhransu Ranjan Samantaray A Data-Mining Model for Protection of FACTS-Based Transmission Line , 2013 .

[3]  Abdul Rahim Abdullah,et al.  An Evaluation of Linear Time Frequency Distribution Analysis for VSI Switch Faults Identification , 2017 .

[4]  Walter Elmore,et al.  Protective Relaying Theory And Applications , 1994 .

[5]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[6]  Laszlo Gyugyi,et al.  Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems , 1999 .

[7]  M.H.J. Bollen,et al.  Travelling-wave-based protection of double-circuit lines , 1993 .

[8]  Pradipta Kishore Dash,et al.  High impedance fault detection in distribution feeders using extended kalman filter and support vector machine , 2010 .

[9]  Ankur Ganguly,et al.  A Fault Current Limiter Circuit to Improve Transient Stability in Power System , 2016 .

[10]  R.K. Aggarwal,et al.  Performance evaluation of a distance relay as applied to a transmission system with UPFC , 2006, IEEE Transactions on Power Delivery.

[11]  O.P. Malik,et al.  Spectral Energy Differential Approach for Transmission Line Protection , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[12]  S. R. Samantaray,et al.  A fast time–frequency transform based differential relaying scheme for UPFC based double-circuit transmission line , 2016 .

[13]  Aleena Swetapadma,et al.  A single ended directional fault section identifier and fault locator for double circuit transmission lines using combined wavelet and ANN approach , 2015 .

[14]  Ganapati Panda,et al.  A novel fuzzy neural network based distance relaying scheme , 2000 .

[15]  Amany El-Zonkoly,et al.  Wavelet Entropy Based Algorithm for Fault Detection and Classification in FACTS Compensated Transmission Line , 2011 .

[16]  G. Kesava Rao,et al.  A New Approach for Classification of Fault in Transmission Line with Combination of Wavelet Multi Resolution Analysis and Neural Networks , 2017 .

[17]  Manas Kumar Jena,et al.  Decision tree-induced fuzzy rule-based differential relaying for transmission line including unified power flow controller and wind-farms , 2014 .

[18]  Pradipta Kishore Dash,et al.  Sparse S-transform for location of faults on transmission lines operating with unified power flow controller , 2015 .

[19]  Manas Kumar Jena,et al.  Differential relaying scheme for tapped transmission line connecting UPFC and wind farm , 2014 .

[20]  G. A Theory for Multiresolution Signal Decomposition : The Wavelet Representation , 2004 .

[21]  A. T. Johns,et al.  Artificial neural-network-based protection scheme for controllable series-compensated EHV transmission lines , 1996 .