Incorporating earth fault location in management-control scheme for distribution networks

This study integrates earth fault location computation with fault management-control schemes for distribution networks. To realise this target, a panel substation is located at the lateral outlet. The faulted section is identified precisely via a fault-location algorithm. Then, isolating the faulted section is accomplished through control signals between the lateral-panel substation and the faulted section isolators. The service restoration is achieved by a direct communication between the lateral-panel substation and the feeder primary substation. The proposed fault-location algorithm is based on the pure fault circuit with the initial condition of the earth fault using the measurements at each lateral panel. For phase-to-ground fault, the initial condition is the series connection for the sequence networks from the fault point. For phase-to-phase-to-ground fault, the initial condition is that the summation of the sequence currents at the fault point is equal to zero. The proposed fault-location algorithm is, therefore, suitable for equipping distribution systems with distributed generation. Moreover, it is applicable for earthed or unearthed networks with all possibilities of transformer connection and load taps. For investigation purposes, simulation tests are performed using the IEEE 33-bus automated feeder example. The simulation test results corroborated the efficacy of the proposed fault management system.

[1]  Dusmanta Kumar Mohanta,et al.  Transmission line fault detection and localisation methodology using PMU measurements , 2015 .

[2]  J.J. Mora,et al.  Fault Location in Power Distribution Systems using ANFIS Nets and Current Patterns , 2006, 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America.

[3]  V. Vyatkin,et al.  Multiagent Smart Grid Automation Architecture Based on IEC 61850/61499 Intelligent Logical Nodes , 2012, IEEE Transactions on Industrial Electronics.

[4]  Jure Močnik,et al.  Controlling voltage profile in smart grids with remotely controlled switches , 2014 .

[5]  Juan Mora-Flórez,et al.  Fault location considering load uncertainty and distributed generation in power distribution systems , 2015 .

[6]  Joaquim Melendez,et al.  Comparison of impedance based fault location methods for power distribution systems , 2008 .

[7]  Hashim Hizam,et al.  Estimation of Fault Location on a Radial Distribution Network Using Fault Generated Travelling Waves Signals , 2007 .

[8]  Amany El-Zonkoly,et al.  Fault diagnosis in distribution networks with distributed generation , 2011 .

[9]  K. Srinivasan,et al.  A New Fault Location Algorithm for Radial Transmission Lines with Loads , 1989, IEEE Power Engineering Review.

[10]  Xiang Gao,et al.  The Application of Self-Healing Technology in Smart Grid , 2011, 2011 Asia-Pacific Power and Energy Engineering Conference.

[11]  J. Mora-Florez,et al.  Fault Location in Power Distribution Systems Using a Learning Algorithm for Multivariable Data Analysis , 2007, IEEE Transactions on Power Delivery.

[12]  Matti Lehtonen,et al.  Autonomous control strategy for fault management in distribution networks , 2015 .

[13]  M. Kizilcay,et al.  Numerical fault arc simulation based on power arc tests , 2007 .

[14]  Mladen Kezunovic,et al.  Smart Fault Location for Smart Grids , 2011, IEEE Transactions on Smart Grid.

[15]  Jamal Moshtagh,et al.  Radial distribution systems reconfiguration considering power losses cost and damage cost due to power supply interruption of consumers , 2013 .

[16]  Magdy M. A. Salama,et al.  Smart distribution system volt/VAR control using distributed intelligence and wireless communication , 2015 .

[17]  Deepika Masand,et al.  Power Flow Analysis of RDS by Artificial Network Technique , 2012 .

[18]  M. Lehtonen,et al.  An agent concept for managing electrical distribution networks , 2005, IEEE Transactions on Power Delivery.