Fault Location for Distribution Networks Based on Node Voltage Equation

Chao Guo Tang; Feng Xiang Dong; Zheng Yuan; Dan Tan; Wen Hai Zhang

doi:10.4028/www.scientific.net/AMR.816-817.545

Paper Titles

Small Target Detecting and Tracking Based Kernel Density Estimation and Mean-Shift Algorithm
p.523

Implementation of RGB to HSV Color Space Conversion with Xilinx System Generator
p.527

The System of Real-Time Image Processing and Combustion Diagnosis Based on Omap3530
p.535

Bandit Detection System under Various Noise Levels with Nearest Mean and Gaussian Classifier
p.540

Fault Location for Distribution Networks Based on Node Voltage Equation
p.545

Design of Data Acquisition Testing System for a Fixed Wing UAV Based on Radio-Frequency Technique and Labview
p.550

A Partial Differential Equation Algorithm for Image Denoising
p.554

Design of Distributed Parallel Real-Time Database for Power Grid Dispatching System
p.557

A New Method of Panoramic Image Mosaic Based on SIFT
p.562

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 816-817Fault Location for Distribution Networks Based on...

Fault Location for Distribution Networks Based on Node Voltage Equation

Abstract:

Proposed a single end fault location algorithm based on fault distance distribution function to implement fault location for isolated neutral system. Based on bus impedance matrix, establish fault distance distribution function adapted to all kind of asymmetric shorted fault in insulated neutral system. Combine the voltage sag data measured at substation to determine the most possible fault point through data matching and analysis. The method can implement fault location for all kind of asymmetric shorted fault and doesnt need much iterative procedure. Also, it is applicable to complicated systems with multi-branch and is quite robust to load variations. Simulation results for a 10Kv typical distribution network verify the validity of the method.

You might also be interested in these eBooks

Manufacturing Science and Technology (ICMST2013)

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 816-817)

Pages:

545-549

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.816-817.545

Citation:

Cite this paper

Online since:

September 2013

Authors:

Chao Guo Tang, Feng Xiang Dong, Zheng Yuan, Dan Tan, Wen Hai Zhang

Keywords:

Distribution Network, Fault Distance Distribution Function, Fault Location

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Zeng Xiangjun, Chen Nan, Li Zewen, etal. Network-based algorithm for fault location with traveling wave. Proceedings of the CSEE, Vol 28(2008), pp.48-53.

DOI: 10.1109/icit.2008.4608608

Google Scholar

[2] Lehtonen M, Hakola T. Neutral Earthing and Power System Protection. Vaasa, Finland: ABB Transmit Publication(1996).

Google Scholar

[3] Ma Qiang, Zhang Li-min, LIU Hao-ming. General matrix algorithm for fault section detection in distribution system. Power System Protection and Control, 3(2009), pp.14-17.

Google Scholar

[4] Wei Zhinong，He Hua ，Zheng Yuping. A refined genetic algorithm for the fault sections location. Proceedings of the CSEE，22(2002), pp.127-130.

Google Scholar

[5] Y. Liao. Generalized Fault-Location Methods for Overhead Electric Distribution Systems, IEEE Transactions on Power Delivery, 26(2011), pp.53-64.

DOI: 10.1109/tpwrd.2010.2057454

Google Scholar

[6] E. Makram, M. Bou-Rabee, and A. Girgis. Three-phase modeling of unbalanced distribution systems during open conductors and/or shuntfault conditions using the bus impedance matrix . Electric Power Systems Research, 13 (1987), p.173–183.

DOI: 10.1016/0378-7796(87)90002-2

Google Scholar

[7] Pang Qingle, mall current grounding fault line selection and positioning technology . Beijing: Electronic Industry Publishing Company(2001).

Google Scholar

[8] Cao Guang-cheng, Song Jia-ye, Liu Zhuo. A New Method to Calculate Short Circuits in Weakly Meshed Distribution and Subtransmission Networks. Proceedings of the CSEE, 17(1997), pp.207-210.

Google Scholar

[9] B. Das. Fuzzy logic-based fault-type identification in unbalanced radialpower distribution system. Transactions on Power Delivery, 21 (2006), p.278–285.

DOI: 10.1109/tpwrd.2005.852273

Google Scholar