A Voltage-Based Approach for Series High Impedance Fault Detection and Location in Distribution Systems Using Smart Meters

被引：13

作者：

Vieira, Francinei L. ^{[1
]}

Santos, Pedro H. M. ^{[1
]}

Carvalho Filho, Jose M. ^{[1
]}

Leborgne, Roberto C. ^{[2
]}

Leite, Marino P. ^{[1
]}

机构：

[1] Univ Fed Itajuba, Inst Sistemas Eletr & Energia, Av BPS 1303, BR-37500903 Itajuba, Brazil

[2] Univ Fed Rio Grande do Sul, Av Osvaldo Aranha 99, BR-90035190 Porto Alegre, RS, Brazil

来源：

ENERGIES | 2019年 / 12卷 / 15期

关键词：

high impedance fault; fault location; distribution network; smart meters; voltage unbalance; POWER DISTRIBUTION-SYSTEMS; IDENTIFICATION; TRANSFORM;

D O I：

10.3390/en12153022

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

High impedance faults (HIFs) have been a major concern for protecting distribution systems and public safety hazards when involving downed conductors. The deployment of smarter grids brings new technologies for smart monitoring, automation, and protection of distribution networks. This paper presents a new method for a series of HIF detection and location in primary distribution feeders, using voltage unbalance measurements collected from smart meters (SMs) installed at low-voltage end-users. The methodology was tested in MATLAB and Simulink through steady-state simulations of a typical 13.8 kV distribution system, under load unbalance and different fault scenarios. Results show that the proposed method is robust and accurate for the detection of blown fuses and broken conductors, with or without ground faults, located either at the source or the load-side. The ease of implementation in SM design, formulation of parameters, and reliable simulation results show potential real-life applications.

引用

页数：16

共 34 条

[1]

Abhijith UP, 2015, 2015 INTERNATIONAL CONFERENCE ON CONTROL COMMUNICATION & COMPUTING INDIA (ICCC), P314, DOI 10.1109/ICCC.2015.7432912

[2]

Al-Ghannam S.H., 2017, P 2017 SAUD AR SMART, P1, DOI [10.1109/SASG.2017.8356491, DOI 10.1109/SASG.2017.8356491]

[3] Classification of Many Abnormal Events in Radial Distribution Feeders Using the Complex Morlet Wavelet and Decision Trees [J].

Almalki, Mishari Metab ;

Hatziadoniu, Constantine J. .

ENERGIES, 2018, 11 (03)

[4]

[Anonymous], 2015, Electromagnetic compatibility (EMC) part 4-30, testing and measurement techniques-power quality measurement methods

[5]

[Anonymous], 2011, IEEE Std 1609.4-2010 (Revision of IEEE Std 1609.4-2006), DOI [DOI 10.1109/IEEESTD.2009.5154067, 10.1109/IEEESTD.2011.5712769, DOI 10.1109/IEEESTD.2011.5712769]

[6]

Arghavani Hossein, 2017, CIRED - Open Access Proceedings Journal, V2017, P883, DOI 10.1049/oap-cired.2017.0129

[7] High impedance fault detection methodology using wavelet transform and artificial neural networks [J].

Baqui, Ibrahem ;

Zamora, Inmaculada ;

Mazon, Javier ;

Buigues, Garikoitz .

ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (07) :1325-1333

[8]

CENELEC TC 8X, 2010, 50160 CENELEC TC 8X

[9] Application of Smart Meters in High Impedance Fault Detection on Distribution Systems [J].

Chakraborty, Soham ;

Das, Sarasij .

IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (03) :3465-3473

[10] A novel selectivity technique for high impedance arcing fault detection in compensated MV networks [J].

Elkalashy, Nagy I. ;

Lehtonen, Matti ;

Darwish, Hatem A. ;

Taalab, Abdel-Maksoud I. ;

Izzularab, Mohamed A. .

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2008, 18 (04) :344-363

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