Back Up Protection Scheme for High Impedance Faults Detection in Transmission Systems Based on Synchrophasor Measurements

High impedance faults are rather difficult to detect, due to their inherent characteristics. However, in most cases high-impedance low-current faults evolve to low-impedance high-current faults, thus giving rise to life hazard situations and equipment damage. In this article, a novel back up protection scheme for high impedance fault detection, based on synchrophasor measurement technology, is proposed. In fact, the presented detection method can be thought as the combination of a classic differential and a classic admittance relay. The protection device designated for high impedance fault detection, incorporating the proposed novel protection algorithm, permanently monitors transmission line’s shunt admittance thus being able to detect changes-increase in the resistive part of shunt admittance, namely the shunt conductance. Actually, a sudden rise of transmission line’s shunt conductance is a strong indicator of high impedance fault inception. Conducted computer simulations confirmed a high degree of selectivity and sensitivity of the proposed method. Moreover, the technical feasibility of the approach was tested considering real-world measurement data obtained for two 220 kV transmission lines. From the acquired data, measurement uncertainties of the monitored parameters in normal operating conditions, were calculated. The results demonstrate excellent sensitivity of the proposed method, even for the case of short transmission lines during low-loading conditions.

[1]  Bijaya Ketan Panigrahi,et al.  High impedance fault detection in power distribution networks using time-frequency transform and probabilistic neural network , 2008 .

[2]  O.P. Malik,et al.  High impedance fault detection based on wavelet transform and statistical pattern recognition , 2005, IEEE Transactions on Power Delivery.

[3]  Ying-Hong Lin,et al.  An adaptive PMU based fault detection/location technique for transmission lines. I. Theory and algorithms , 2000 .

[4]  C.J. Lee,et al.  A new two-terminal numerical algorithm for fault location, distance protection, and arcing fault recognition , 2006, IEEE Transactions on Power Systems.

[5]  Alexander Mamishev,et al.  Analysis of high impedance faults using fractal techniques , 1995 .

[6]  M. Kizilcay,et al.  Digital simulation of fault arcs in power systems , 2007 .

[7]  Behrooz Vahidi,et al.  An Approach to Detection of High Impedance Fault Using Discrete Wavelet Transform and Artificial Neural Networks , 2010, Simul..

[8]  W. C. Santos,et al.  High Impedance Faults: From Field Tests to Modeling , 2013 .

[9]  M. Sarlak,et al.  High impedance fault detection using combination of multi-layer perceptron neural networks based on multi-resolution morphological gradient features of current waveform , 2011 .

[10]  S. M. Brahma,et al.  Detection of High Impedance Fault in Power Distribution Systems Using Mathematical Morphology , 2013, IEEE Transactions on Power Systems.

[11]  Ricardo Abboud,et al.  Challenges and Solutions in the Protection of a Long Line in the Furnas System , 2015 .

[12]  N.I. Elkalashy,et al.  Modeling and experimental verification of high impedance arcing fault in medium voltage networks , 2007, IEEE Transactions on Dielectrics and Electrical Insulation.

[13]  Farrokh Aminifar,et al.  Synchrophasor-Based Wide-Area Backup Protection Scheme with Data Requirement Analysis , 2015, IEEE Transactions on Power Delivery.

[14]  Peter Palensky,et al.  High Impedance Fault Detection Using Advanced Distortion Detection Technique , 2020, IEEE Transactions on Power Delivery.

[15]  M. Sarlak,et al.  High Impedance Fault Detection Using Harmonics Energy Decision Tree Algorithm , 2006, 2006 International Conference on Power System Technology.

[16]  H. K. Kargar,et al.  High impedance fault detection of distribution network by phasor measurement units , 2012, 2012 Proceedings of 17th Conference on Electrical Power Distribution.

[17]  Garikoitz Buigues,et al.  High impedance fault detection methodology using wavelet transform and artificial neural networks , 2011 .

[18]  Yang Weng,et al.  Enhance High Impedance Fault Detection and Location Accuracy via $\mu$ -PMUs , 2020, IEEE Transactions on Smart Grid.

[19]  Nelson Kagan,et al.  Detection of high impedance faults in overhead multi grounded networks , 2014, 2014 11th IEEE/IAS International Conference on Industry Applications.

[20]  Daming Zhang,et al.  Modeling and detection of high impedance faults , 2014, 2014 International Conference on Smart Green Technology in Electrical and Information Systems (ICSGTEIS).

[21]  Daqing Hou Detection of high-impedance faults in power distribution systems , 2007, 2007 Power Systems Conference: Advanced Metering, Protection, Control, Communication, and Distributed Resources.

[22]  Haidar Samet,et al.  A New Approach to High Impedance Fault Detection Based on Correlation Functions , 2012, AIAI.

[23]  P. A. Crossley,et al.  A new type of differential feeder protection relay using the Global Positioning System for data synchronization , 1997 .

[24]  Bijaya K. Panigrahi,et al.  A New Wide-Area Backup Protection Scheme for Series-Compensated Transmission System , 2017, IEEE Systems Journal.

[25]  Heresh Seyedi,et al.  High impedance fault protection in transmission lines using a WPT-based algorithm , 2015 .

[26]  Arun G. Phadke,et al.  Power System Relaying , 1992 .

[27]  Paulo Koiti Maezono,et al.  Very high-resistance fault on a 525 kV transmission line - Case study , 2009, 2009 62nd Annual Conference for Protective Relay Engineers.

[28]  Ahmed Saber,et al.  A Backup Protection Technique for Three-Terminal Multisection Compound Transmission Lines , 2018, IEEE Transactions on Smart Grid.

[29]  W. C. Santos,et al.  Real-Time Detection of Transients Induced by High-Impedance Faults Based on the Boundary Wavelet Transform , 2015, IEEE Transactions on Industry Applications.

[30]  Iman Sadeghkhani,et al.  HIF detection in distribution networks based on Kullback–Leibler divergence , 2019, IET Generation, Transmission & Distribution.

[31]  Amin Ghaderi,et al.  High impedance fault detection: A review , 2017 .

[32]  A. M. Ranjbar,et al.  An Adaptive PMU-Based Wide Area Backup Protection Scheme for Power Transmission Lines , 2015, IEEE Transactions on Smart Grid.

[33]  Kattathu Joseph Mathew,et al.  Guide to the expression of uncertainty in measurements , 2017 .

[34]  Mahdi Banejad,et al.  High impedance fault detection: Discrete wavelet transform and fuzzy function approximation , 2014 .