MODWT-based fault detection and classification scheme for cross-country and evolving faults

Abstract The extraction of the faulty-signal in overhead transmission lines can expose an exclusive attributes regarding fault type, fault detection and classification in a precise time sphere to design proper protection scheme for real-time application. In this paper, an illustrative signal processing technique, maximal overlap discrete wavelet transform (MODWT) has been demonstrated to excerpt the attributes of the faulty-signals in case of cross-country and evolving faults which are complex in nature. The maximum change in wavelet energy of three-phase instantaneous currents has been considered as a distinct feature for fault detection/classification in a dual-circuit transmission line of Chhattisgarh State Power Transmission Network. The performance of the proposed scheme has been evaluated by performing wide-range of simulation studies in real-time digital simulator (RTDS) laboratory and further the performance of the proposed scheme has been evaluated by performing an experimental simulation in a prototypical model of transmission line in the laboratory environment. Moreover, the significance of the proposed scheme is not affected by zero sequence mutual impedance and independent of communication latency because it is employed using one terminal data only.

[1]  Waldemar Rebizant,et al.  Analysis of differential protection response for cross-country faults in transmission lines , 2010, 2010 Modern Electric Power Systems.

[2]  Stefano Lauria,et al.  An Equivalent Circuit for the Evaluation of Cross-Country Fault Currents in Medium Voltage (MV) Distribution Networks , 2018, Energies.

[3]  Stefano Lauria,et al.  Detection of cross-country faults in medium voltage distribution ring lines , 2017, 2017 AEIT International Annual Conference.

[4]  Morten Nielsen,et al.  On the Construction and Frequency Localization of Finite Orthogonal Quadrature Filters , 2001, J. Approx. Theory.

[5]  A. A. Mohd Zin,et al.  Effect of 132kV Cross-Country Fault on Distance Protection System , 2012, 2012 Sixth Asia Modelling Symposium.

[6]  Heresh Seyedi,et al.  Adaptive CWT-based transmission line differential protection scheme considering cross-country faults and CT saturation , 2016 .

[7]  A. A. Hajjar,et al.  A high-speed algorithm to discriminate between power swing and faults in distance relays based on a fast wavelet , 2019, Electric Power Systems Research.

[8]  Aleena Swetapadma,et al.  All shunt fault location including cross-country and evolving faults in transmission lines without fault type classification , 2015 .

[9]  Aleena Swetapadma,et al.  An artificial neural network‐based solution to locate the multilocation faults in double circuit series capacitor compensated transmission lines , 2018 .

[10]  N. S. D. Brito,et al.  Real-time classification of transmission line faults based on Maximal Overlap Discrete Wavelet Transform , 2012, PES T&D 2012.

[11]  Sun Yuanzhang,et al.  Impact of evolving fault on fault phase selector based on differential superimposed phase currents , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[12]  D. N. Vishwakarma,et al.  A Novel Methodology for Identifying Cross-Country Faults in Series-Compensated Double Circuit Transmission Lines , 2018 .

[13]  M Chakravarthy,et al.  Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line , 2019 .

[14]  Tianshu Bi,et al.  First-Zone Distance Relaying Algorithm of Parallel Transmission Lines for Cross-Country Grounded Faults , 2012, IEEE Transactions on Power Delivery.

[15]  Mohamed A. Ibrahim.  Disturbance Analysis for Power Systems , 2011 .

[16]  Ebha Koley,et al.  Intercircuit and cross-country fault detection and classification using artificial neural network , 2010, 2010 Annual IEEE India Conference (INDICON).

[17]  Anamika Yadav,et al.  Fault Detection and Classification of Multi-location and Evolving Faults in Double-Circuit Transmission Line Using ANN , 2019 .