2014 IEEE International Conference on Intelligent Energy and Power Systems (IEPS)
110
Improved ANN Based Impedance Estimator for
Phase to Ground Faults In UHV Transmission Line
Syed Furqan Rafique
School of Electrical Engineering
North China Electric Power University
Changping District, Beijing 102206, China
Z.Y. Xu
Beijing Sifang Automation Co. Ltd,
Shangdi District, Beijing 100085,
China
Akif Zia Khan
School of Electrical Engineering
North China Electric Power University
Changping District, Beijing 102206, China
Abstract — An accurate digital distance relaying scheme
integrated with artificial neural network impedance estimator is
developed using the weighted sum of the negative-zero sequence
components of fault current assuming the voltage and current
are in phase at the fault location. The modified scheme is immune
to the variation in fault location for under reach and overreach
problem caused by sequence current components. A series of test
conducted on a 800kV, 400km transmission line for single phase
to ground faults as well as simultaneous open conductor fault in
PSCAD/EMTP and Matlab. Finally comparison has been done
with the conventional methods in order to check the accuracy
and robustness of the proposed scheme which is found to be 95%.
Keywords — Negative Zero sequence current; Artificial neural
network; simultaneous fault
I. INTRODUCTION
Embedded Systems technology extensively improved the
performance of conventional distance relaying , it is possible
to realize useful functions like event recoding of pre-fault data
,adaptive logic , multiple sensing in power system to ensure
the protection of EHV or UHV transmission lines[1],[2].
However the basic principles of the distance relay has not
been changed, which is based on the assumption that the fault
location voltage is zero to measure the fault loop impedance
according to the ratio of voltage to current. In fact, it is not
possible that fault location voltage is zero provided the
artificial short circuit happen[3], and voltage of fault point will
affect the measurement of fault impedance, especially for the
phase-ground faults with high resistance and heavy
load[4],[5].
The transmission lines are likely to experience the
environmental conditions and the possibility of occurring
faults on the transmission system is generally higher than that
on other important components of power system. Single line
to ground faults are the most common faults around 75-80 %,
they may be set off by lightning strokes, cause of heavy wind
may fall trees across the lines, foggy environment and salt
spray on dirty insulators may be the reason for insulator flash
over, and ice and snow loadings on the insulator may cause
strings to fail mechanically[6]. When a fault occurs on
transmission system, it is the most critical to detect it and to
find its location in order to make necessary measures and to
restore power as soon as possible. The time needed to
determine the fault point along the line will affect the quality
and the performance of system [7].
The fundamental relation of protective system is to make
sure the power availability by clearing faults as rapidly as
possible in order to maintain stability and control. However
still relays have under reach and over reach problems depends
on inaccurate fault impedance calculation due to high path
resistance and simultaneous open conductor fault .the
important factors that creates an inaccuracy in the system like
remote in-fed, ground faults with different fault resistances,
inaccuracy of the measurements in Voltage and current at
relay point.
The other factors in reducing the performance of digital
distance relaying are simultaneous open conductor with
ground fault. This kind of fault frequently occurs on an
overhead transmission system because of the breaking of one
or more phase conductor at a point near to the transmission
tower. This broken conductor from one side is connected to
the tower with suspension insulator while the other side fallen
to the ground or due to a failure of a line surge arrestor
causing an explosion which resulted in the broken conductor
coming into contact with earthed metalwork. Critical power
systems disturbances are often take place during this type of
simultaneous fault condition, which are the cause of in correct
operation of the traditional digital distance relays
Xu et al. [3] proposed a new approach of fault impedance
calculation algorithm for phase to ground distance relaying.
This method is primarily on the selection of three different
combinations of sequence current components, namely,
negative current component, zero current components, and
comprehensive negative-zero sequence current components.
However, in this algorithm, the method for selecting particular
sequence current component has not clearly defined which is
needed for the impedance calculation algorithm. As
comprehensive negative zero components would also show
inaccuracy based on the fault distance location and other
system changes like simultaneous open conductor effect, this
leave the scope of research in the aforementioned scheme.
Artificial neural network technique is integrated with the
above comprehensive negative zero algorithm in order to
produce accurate results while calculating the faulted line
impedance. Various methods have been proposed [8] describing
applications of ANNs to fault detection and location in
transmission system. In this paper, a doubly fed UHV 800kV
and 400 km transmission line system is taken as a test object for
simulations. A single-end fault estimator is proposed for on-line
applications using ANN. A feed-forward neural network
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