Smart Grid and Renewable Energy, 2013, 4, 297-305
http://dx.doi.org/10.4236/sgre.2013.43036 Published Online June 2013 (http://www.scirp.org/journal/sgre)
297
High Impedance Fault Detection of Distribution Network
by Phasor Measurement Units
Mohsen Ghalei Monfared Zanjani, Hossein Kazemi Karegar, Hasan Ashrafi Niaki,
Mina Ghalei Monfared Zanjani
Department of Electrical and Computer Engineering, Shahid Beheshti University (SBU), Tehran, Iran.
Email: mo.monfared@sbu.ac.ir, h_kazemi@sbu.ac.ir, h.ashrafi@sbu.ac.ir, mi.monfared@iran-transfo.com
Received November 18
th
, 2012; revised January 2
nd
, 2013; accepted January 11
th
, 2013
Copyright © 2013 Mohsen Ghalei Monfared Zanjani et al. This is an open access article distributed under the Creative Commons
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is
properly cited.
ABSTRACT
This paper proposes a new algorithm for High Impedance Fault (HIF) detection using Phasor Measurement Unit (PMU).
This type of faults is difficult to detect by over current protection relays because of low fault current. In this paper, an
index based on phasors change is proposed for HIF detection. The phasors are measured by PMU to obtain the square
summation of errors. Two types of data are used for error calculation. The first one is sampled data and the second one
is estimated data. But this index is not enough to declare presence of a HIF. Therefore another index introduces in order
to distinguish the load switching from HIF. Second index utilizes 3rd harmonic current angle because this number of
harmonic has a special behaviour during HIF. The verification of the proposed method is done by different simulation
cases in EMTP/MATLAB.
Keywords: Fault Detection; High Impedance Fault; Phasor Measurement Units
1. Introduction
High-impedance faults on distribution feeders are ab-
normal electrical conditions that cannot be detected by
conventional protection schemes because of the low fault
current due to the high impedance fault at fault point.
These faults often occur when an overhead conductor
breaks or touches a high impedance surface such as as-
phalt road, sand, cement or tree and pose a threat on hu-
man lives when neighbouring objects become in contact
with the line’s bare and energized conductors.
HIF can occur in two cases. In one case, a conductor
breaks and fall to ground and fallen phase current de-
creases and protection relays cannot detect fault because
current is not more than setting current of relays. In other
state conductor isn’t break but it touches a high imped-
ance thing such as tree limbs. In this state feeder current
increase but it is not enough to detect by conventional
protection relay. Therefore this type of fault is very dif-
ficult to detect also it is very dangerous for human life
and necessary to detect.
So far, many models have been proposed to show high
impedance faults features such as nonlinearity, asymme-
try and the low frequency of HIF current. In 1990, a
model for HIF is proposed which is based on arc nature
when a Conductor breaks or touches a high impedance
thing. This model is obtained from laboratory measure-
ments and theoretical components [1]. A model Using
Two Series Time-Varying Resistances was proposed in
2001 [2]. In 2004, a model was proposed in which two
inverse diodes, dc source and resistance were used for
modeling. The resistance and dc source changed every
half cycle to show asymmetrical current of HIF [3]. A
model based on dynamic model of arc was presented in
2008 [4]. Based on Emanuel model, a model was pro-
posed in 2010 [5] to show more features of HIF. This
model shows that when a broken conductor falls on earth,
some arcs occur. These arcs have been shown by several
parallel of Emanuel model. Therefore, it is necessary to
have a perfect model of HIF to accurately detect it.
In the past two decades many techniques have been
proposed to improve the detection of HIFs in power dis-
tribution systems. They can be roughly divided into two
groups: time domain algorithms and frequency-domain
algorithms.
In the time domain, a ratio ground relay, a proportional
relay algorithm [6,7] and a smart relay based on time-
domain feature extraction [8] have been proposed.
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