Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 146, Issue -, Pages 170-176Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2017.01.030
Keywords
Fault location; High impedance fault; Distribution networks; Parameter estimation; Frequency domain analysis
Categories
Funding
- electric power utility RGE Sul
- Coordination for the Improvement of High Level Personnel
- National Center of Scientific and Technological Development (CAPES)
- International Cooperation Program CAPES/Science Without Borders at the University of Florida
- CAPES (Brazilian Federal Agency for Support and Evaluation of Graduate Education) within the Ministry of Education of Brazil
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High impedance fault location still represents a challenge for protection engineers. In this work, an analytical formulation for high impedance fault location in power distribution systems is presented, based on system parameters estimation. The proposed method is based on a frequency domain system model, developed considering a high impedance fault model composed by two antiparallel diodes and an arc resistance. The proposed model is an overdetermined nonlinear algebraic system of equations in which the solution is obtained through a Weighted Least Square approach. A residual analysis is applied for estimate selection. The proposed method considers the capacitive effect through an exact line segment model for overhead distribution lines, using only local voltages and currents as input data. Validation is done through numerical simulations using the IEEE system 13 buses test feeder, a real distribution system from the RGE Sul Power Utility (Southern Brazil), and a real high impedance fault recorded from a digital relay. Comparative test results with the state-of-the-art highlights the method's high accuracy, indicating potential aspects for real life application. Overall average errors of 0.3% considering a complete HIF model were obtained, and a 1.39% error considering a real HIF in a rural feeder. The formulation is currently used by protection engineers at RGE Sul as a reliability oriented tool. (C) 2017 Elsevier B.V. All rights reserved.
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