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International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 12, Volume 2 (December 2015) www.ijirae.com
_________________________________________________________________________________________________________
IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57
© 2014- 15, IJIRAE- All Rights Reserved Page -24
ANALYSIS OF ASYMMETRICAL FAULTS IN 220/400 KV
LINES USING FFT
Supriya Tripathi1
, Dr. A.S. Zadgaonkar2
, Dr. N.Tripathi3
1. Associate Professor, Electical Engg. Dept. Bhilai Institute of Technology ,Durg,C.G
2. Ex- vice Chancellor , Dr. CVRaman University, Bilaspur,C.G.
3. Associate Professor, Electical Engg. Dept. Bhilai Institute of Technology ,Durg,C.G
I. INTRODUCTION
An electrical power system comprises of generation, transmission and distribution of electric energy. Transmission lines are used
to transmit electric power to distant large load centers. The rapid growth of electric power systems over the past few decades has
resulted in a large increase of the number of lines in operation and their total length. These lines are exposed to faults as a result of
lightning, short circuits, faulty equipment, mal-operation, human errors, overload, and aging. Many electrical faults manifest in
mechanical damages, which must be repaired before returning the line to service. The restoration can be expedited if the fault
location is either known or can be estimated with a reasonable accuracy. Faults cause short to long term power outages for
customers and may lead to significant losses especially for the manufacturing industry. Fast detecting, isolating, locating and
repairing of these faults are critical in maintaining a reliable power system operation. When a fault occurs on a transmission line,
the voltage at the point of fault suddenly reduces to a low value.
II. FAULTS
The faults in power system are basically divided into two types:
a. SYMMETRICAL FAULT
b. ASYMMETRICAL FAULT
a. Symmetrical fault: Symmetrical faults are those types of faults in which all the three phases gets involved simultaneously. For
example: triple line fault (L-L-L), triple line to ground fault (L-L-L-G). A symmetric or balanced fault affects each of the three
phases equally. In transmission line faults, roughly 5% are symmetric. This is in contrast to an asymmetrical fault, where the three
phases are not affected equally.
b. Asymmetrical fault: In this type of faults, the fault occurs mainly in one or two phases and are categorizes as unbalanced fault.
For example: single line to ground (L-G), double line to ground (L-L-G). An asymmetric or unbalanced fault does not affect each
of the three phases equally. Common types of asymmetric faults, and their causes:
 Line-to-line - a short circuit between lines, caused by ionization of air, or when lines come into physical contact, for example
due to a broken insulator.
 line-to-ground - a short circuit between one line and ground, very often caused by physical contact, for example due to
lightning or other storm damage
III. NUMERIC RELAY
The first and foremost driving force for advances in relaying systems is the need to improve reliability. In turn, this implies
increase in dependability as well as security. This need to improve reliability propelled the development of solid state relays. Solid
state relays have inherent self checking facility which was not available with electromechanical relays. This feature is also
available with numerical relays. For example, when the computer is booted, it goes through a self checking phase where it checks
RAM, hard disk, etc. Also, with the reduced cost of computer hardware, and an exponential growth in processing capability,
numerical relays can provide high performance at moderate costs. Since, numerical relays are based on digital technology; they are
more or less immune to variation or drift in parameters of individual components like OP-AMPS etc. due to changes in
temperature, ageing etc. Numerical relays also help in reducing burden (volt-amperes) of Current Transformer (CT) and Voltage
Transformer (VT). This is desirable because ideally sensors should not consume any power. If a sensor consumes energy from the
measure and, it will automatically distort the signal. This problem is further aggravated in CTs due to non-linearity of iron core.
Numerical relays offer very low impedance to the secondary of CT and hence reduce burden on CT. Numerical relaying along
with developments in fiber optic communication have pioneered development of automated substations.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 12, Volume 2 (December 2015) www.ijirae.com
_________________________________________________________________________________________________________
IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57
© 2014- 15, IJIRAE- All Rights Reserved Page -25
Once, the analog signals from CTs and VTs are digitized, they can be converted to optical signals and transmitted on substation
LAN using fiber optic network. With high level of EMI immunity offered by fiber optic cable, it has become the transmission
medium by choice in substation environment. Numerical relays can be nicely interfaced with a substation LAN. Further, a single
fiber optic LAN permits multiplexing of multiple analog signals which is not possible with legacy arrangement
Numerical relays also permit development of new functions as well as development of adaptive relaying schemes. Traditionally,
relaying systems are designed and set in a conservative manner. They represent compromise between: economy and performance,
dependability and security complexity and simplicity, speed and accuracy, credible and conceivable. Few distinct features of
numerical for it`s wide popularity are discussed below:
Cost: The processing power measured in Floating Point Operations per Seconds (FLOPS) has been steadily increasing. This is
because of the technological advances in VLSI. Today, general purposes as well as high speed Digital Signal Processors (DSP) are
available at reasonable cost. As such, cost of numerical relays is competitive with traditional electromechanical and solid state
relays.
Self Checking and Reliability: A numerical relay just like a PC can check the health of its components periodically. In case of a
failure, it can raise an alarm. No amount of periodic maintenance can provide this facility, which goes a long way in improving the
reliability of digital relay.
System Integration and Digital Environment: Transmission systems were automated first to improve the reliability of the overall
transmission system by use of SCADA and setting up of energy control centers.
Functional Flexibility and Adaptive Relaying: Numerical relays are programmable. A multi-purpose hardware can be programmed
with many relaying schemes. With the emergence of the DSP based numerical relays, it is possible to incorporate a number of
features in a relay. Further, such relays can be equipped with communication facilities thereby, opening the possibility of adaptive
relaying.
IV. METHODOLOGY
1. Data was collected from three different locations where numerical relay are use.
2. From the collected data various faulty signal were separated i.e L-G or L-L-G
3. FFT analysis of the faulty signal was done in Matlab platform.
V. RESULT
The waveform recorded by the numerical relay during L-G fault and L-L –G is shown in figure 1-2
Figure 1 Waveform of LG fault recorded by numerical relay
Figure 2 Waveform of L-L-G fault recorded by numerical relay
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 12, Volume 2 (December 2015) www.ijirae.com
_________________________________________________________________________________________________________
IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57
© 2014- 15, IJIRAE- All Rights Reserved Page -26
VI. CONCLUSION
On the basis of the results obtained from the numeric relay few important conclusion drawn are which are listed below separately
for LG and LLG fault: The FFT analysis of the faulty signal recorded by the numeric relay are shown in figure 3-6 in form of bar
graph.
FOR L-G FAULT:
Figure 3 Comparison of Kurtosis value of Voltage and
Current during LG
Figure 4 Comparison of RMS value of Voltage and
Current during LG
 Significant increase in Kurtosis value of current in faulty phase has been observed whereas nominal increase in the
kurtosis value of the voltage in the faulty phase only. During faulty condition the magnitude of current in faulty phase
increase by factor 2-15 times (approximate)
 During L-G fault significant increase in the value of neutral current ( IN ) is found.
 These are no change in the RMS value of voltage and current during LG fault.
FOR L-L-G FAULT:
Figure 3 Comparison of Kurtosis value of Voltage during L-
L-G
Figure 3 Comparison of Kurtosis value of Current
during L-L-G
 Changes (Increment) in Kurtosis value of current is observed in the two faulty phases
 During L-L-G fault condition kurtosis value of neutral current IN also increases.
 In case of fault, current in faulty phases increase by factor 2-10 times (approximate).
Finally it is concluded that on the basis of the FFT analysis of the recorded signal by numerical the asymmetrical fault in the
power system can be determined.
1.6466 1.646 1.6309
2.9238
1.6621 1.6392
Phase A Phase B Phase C
Voltage Current
1.6466 1.646 1.6309
2.9238
1.6621 1.6392
Phase A Phase B Phase C
Voltage Current
1.6794 1.6768
1.63411.6341 1.6341 1.6341
Va Vb Vc
Voltage Normal
30.752 30.471
2.066
23.786
2.066 2.066 2.066 2.066
Ia Ib Ic In
Current Normal
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763
Issue 12, Volume 2 (December 2015) www.ijirae.com
_________________________________________________________________________________________________________
IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57
© 2014- 15, IJIRAE- All Rights Reserved Page -27
REFERENCE
[1]. Ancell G.B. and Pahalawaththa N.C., 1994. Maximum likelihood estimation of fault location on transmission lines using
travelling waves, IEEE Trans. Power Delivery, vol.9 No.2 pp.680-688.
[2]. Bhalja B.R. and Maheswari R. P., 2007. High resistance faults on two terminal parallel transmission line: Analysis,
simulation studies, and an adaptive distance relaying scheme, IEEE Trans. Power Delivery, vol.22, no.2, pp. 801-812.
[3]. Dalstain T., and Kulicke B., 1995. Neural network-approach to fault classification for high speed protective relaying, IEEE
Trans.Power Delivery, vol. 10, no. 2, pp. 1002-1011.
[4]. Das B. and Vittal Reddy J., 2005. Fuzzy-Logic-Based fault classification scheme for digital distance protection, IEEE
Trans.Power Delivery, vol.20, no.2, pp.609-616.
[5]. Dong X., Kong W. and Cui T. (2009). Fault classification and faulted-phase selection based on the initial current travelling
wave ,IEEE Trans. Power Delivery, vol.24, No.2, pp.552-559.
[6]. Dr. Hamid H. Sherwali and Eng. Abdlmnam A. Abdlrahem (2009 ) Modeling of Numeric Distance Relay using MAtlab,
Proceedings of IEEE, Symposium on Industrial Application ,ISIEA,2009, October , Kuala Lumpur, Malaysia
[7]. Electricity Training Association, Power System Protection, Volume 4: Digital Protection and Signaling”, The Institution of
Electrical Engineering, IEE, London (1995) IS)BN 0 85296 838 8
[8]. Y. H. Gu and M. H. J. Bollen,“Time-frequency and time-scale domainanalysis of voltage disturbances,”IEEE Trans. Power
Del., vol. 15, no.4, pp. 1279–1284, Oct. 2000.
[9]. Math H. J. Bollen, Fellow, IEEE ,EmmanouilStyvaktakis, and Irene Yu-HuaGu Senior Member, IEEE, Categorization and
Analysis of Power System Transients, IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 20, NO. 3, JULY 2005 ,PP
2298 -2306
[10]. Nasser Tleis, (2009) Power System Modeling and fault analysis, Elsevier Ltd, 2008, ISBN 13 978 0 7506 8074 5 Rockefeller
G.D.,(1969). Fault protection with a digital computer, IEEE Trans. Power App. and Syst., vol. 88, no.4, pp.438-464.
[11].Sandro Gianny Aquiles Perez,(2006) “Modeling Relays for Power System Protection Studies”, Thesis Submitted to the
College of Graduate Studies and Research, Department of Electrical Engineering University of Saskatchewan, Saskatchewan,
Canada, July 2006
[12].Tripathi ,Supriya ;Zadgaonkar, A.S(2015) “Analysis of Transients Recorded by Numeric Relayin 220/ 400 kV system”
IJRC,vol.2 issue 12

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ANALYSIS OF ASYMMETRICAL FAULTS IN 220/400 KV LINES USING FFT

  • 1. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 12, Volume 2 (December 2015) www.ijirae.com _________________________________________________________________________________________________________ IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 15, IJIRAE- All Rights Reserved Page -24 ANALYSIS OF ASYMMETRICAL FAULTS IN 220/400 KV LINES USING FFT Supriya Tripathi1 , Dr. A.S. Zadgaonkar2 , Dr. N.Tripathi3 1. Associate Professor, Electical Engg. Dept. Bhilai Institute of Technology ,Durg,C.G 2. Ex- vice Chancellor , Dr. CVRaman University, Bilaspur,C.G. 3. Associate Professor, Electical Engg. Dept. Bhilai Institute of Technology ,Durg,C.G I. INTRODUCTION An electrical power system comprises of generation, transmission and distribution of electric energy. Transmission lines are used to transmit electric power to distant large load centers. The rapid growth of electric power systems over the past few decades has resulted in a large increase of the number of lines in operation and their total length. These lines are exposed to faults as a result of lightning, short circuits, faulty equipment, mal-operation, human errors, overload, and aging. Many electrical faults manifest in mechanical damages, which must be repaired before returning the line to service. The restoration can be expedited if the fault location is either known or can be estimated with a reasonable accuracy. Faults cause short to long term power outages for customers and may lead to significant losses especially for the manufacturing industry. Fast detecting, isolating, locating and repairing of these faults are critical in maintaining a reliable power system operation. When a fault occurs on a transmission line, the voltage at the point of fault suddenly reduces to a low value. II. FAULTS The faults in power system are basically divided into two types: a. SYMMETRICAL FAULT b. ASYMMETRICAL FAULT a. Symmetrical fault: Symmetrical faults are those types of faults in which all the three phases gets involved simultaneously. For example: triple line fault (L-L-L), triple line to ground fault (L-L-L-G). A symmetric or balanced fault affects each of the three phases equally. In transmission line faults, roughly 5% are symmetric. This is in contrast to an asymmetrical fault, where the three phases are not affected equally. b. Asymmetrical fault: In this type of faults, the fault occurs mainly in one or two phases and are categorizes as unbalanced fault. For example: single line to ground (L-G), double line to ground (L-L-G). An asymmetric or unbalanced fault does not affect each of the three phases equally. Common types of asymmetric faults, and their causes:  Line-to-line - a short circuit between lines, caused by ionization of air, or when lines come into physical contact, for example due to a broken insulator.  line-to-ground - a short circuit between one line and ground, very often caused by physical contact, for example due to lightning or other storm damage III. NUMERIC RELAY The first and foremost driving force for advances in relaying systems is the need to improve reliability. In turn, this implies increase in dependability as well as security. This need to improve reliability propelled the development of solid state relays. Solid state relays have inherent self checking facility which was not available with electromechanical relays. This feature is also available with numerical relays. For example, when the computer is booted, it goes through a self checking phase where it checks RAM, hard disk, etc. Also, with the reduced cost of computer hardware, and an exponential growth in processing capability, numerical relays can provide high performance at moderate costs. Since, numerical relays are based on digital technology; they are more or less immune to variation or drift in parameters of individual components like OP-AMPS etc. due to changes in temperature, ageing etc. Numerical relays also help in reducing burden (volt-amperes) of Current Transformer (CT) and Voltage Transformer (VT). This is desirable because ideally sensors should not consume any power. If a sensor consumes energy from the measure and, it will automatically distort the signal. This problem is further aggravated in CTs due to non-linearity of iron core. Numerical relays offer very low impedance to the secondary of CT and hence reduce burden on CT. Numerical relaying along with developments in fiber optic communication have pioneered development of automated substations.
  • 2. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 12, Volume 2 (December 2015) www.ijirae.com _________________________________________________________________________________________________________ IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 15, IJIRAE- All Rights Reserved Page -25 Once, the analog signals from CTs and VTs are digitized, they can be converted to optical signals and transmitted on substation LAN using fiber optic network. With high level of EMI immunity offered by fiber optic cable, it has become the transmission medium by choice in substation environment. Numerical relays can be nicely interfaced with a substation LAN. Further, a single fiber optic LAN permits multiplexing of multiple analog signals which is not possible with legacy arrangement Numerical relays also permit development of new functions as well as development of adaptive relaying schemes. Traditionally, relaying systems are designed and set in a conservative manner. They represent compromise between: economy and performance, dependability and security complexity and simplicity, speed and accuracy, credible and conceivable. Few distinct features of numerical for it`s wide popularity are discussed below: Cost: The processing power measured in Floating Point Operations per Seconds (FLOPS) has been steadily increasing. This is because of the technological advances in VLSI. Today, general purposes as well as high speed Digital Signal Processors (DSP) are available at reasonable cost. As such, cost of numerical relays is competitive with traditional electromechanical and solid state relays. Self Checking and Reliability: A numerical relay just like a PC can check the health of its components periodically. In case of a failure, it can raise an alarm. No amount of periodic maintenance can provide this facility, which goes a long way in improving the reliability of digital relay. System Integration and Digital Environment: Transmission systems were automated first to improve the reliability of the overall transmission system by use of SCADA and setting up of energy control centers. Functional Flexibility and Adaptive Relaying: Numerical relays are programmable. A multi-purpose hardware can be programmed with many relaying schemes. With the emergence of the DSP based numerical relays, it is possible to incorporate a number of features in a relay. Further, such relays can be equipped with communication facilities thereby, opening the possibility of adaptive relaying. IV. METHODOLOGY 1. Data was collected from three different locations where numerical relay are use. 2. From the collected data various faulty signal were separated i.e L-G or L-L-G 3. FFT analysis of the faulty signal was done in Matlab platform. V. RESULT The waveform recorded by the numerical relay during L-G fault and L-L –G is shown in figure 1-2 Figure 1 Waveform of LG fault recorded by numerical relay Figure 2 Waveform of L-L-G fault recorded by numerical relay
  • 3. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 12, Volume 2 (December 2015) www.ijirae.com _________________________________________________________________________________________________________ IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 15, IJIRAE- All Rights Reserved Page -26 VI. CONCLUSION On the basis of the results obtained from the numeric relay few important conclusion drawn are which are listed below separately for LG and LLG fault: The FFT analysis of the faulty signal recorded by the numeric relay are shown in figure 3-6 in form of bar graph. FOR L-G FAULT: Figure 3 Comparison of Kurtosis value of Voltage and Current during LG Figure 4 Comparison of RMS value of Voltage and Current during LG  Significant increase in Kurtosis value of current in faulty phase has been observed whereas nominal increase in the kurtosis value of the voltage in the faulty phase only. During faulty condition the magnitude of current in faulty phase increase by factor 2-15 times (approximate)  During L-G fault significant increase in the value of neutral current ( IN ) is found.  These are no change in the RMS value of voltage and current during LG fault. FOR L-L-G FAULT: Figure 3 Comparison of Kurtosis value of Voltage during L- L-G Figure 3 Comparison of Kurtosis value of Current during L-L-G  Changes (Increment) in Kurtosis value of current is observed in the two faulty phases  During L-L-G fault condition kurtosis value of neutral current IN also increases.  In case of fault, current in faulty phases increase by factor 2-10 times (approximate). Finally it is concluded that on the basis of the FFT analysis of the recorded signal by numerical the asymmetrical fault in the power system can be determined. 1.6466 1.646 1.6309 2.9238 1.6621 1.6392 Phase A Phase B Phase C Voltage Current 1.6466 1.646 1.6309 2.9238 1.6621 1.6392 Phase A Phase B Phase C Voltage Current 1.6794 1.6768 1.63411.6341 1.6341 1.6341 Va Vb Vc Voltage Normal 30.752 30.471 2.066 23.786 2.066 2.066 2.066 2.066 Ia Ib Ic In Current Normal
  • 4. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2763 Issue 12, Volume 2 (December 2015) www.ijirae.com _________________________________________________________________________________________________________ IJIRAE: Impact Factor Value - ISRAJIF: 1.857 | PIF: 2.469 | Jour Info: 4.085 | Index Copernicus 2014 = 6.57 © 2014- 15, IJIRAE- All Rights Reserved Page -27 REFERENCE [1]. Ancell G.B. and Pahalawaththa N.C., 1994. Maximum likelihood estimation of fault location on transmission lines using travelling waves, IEEE Trans. Power Delivery, vol.9 No.2 pp.680-688. [2]. Bhalja B.R. and Maheswari R. P., 2007. High resistance faults on two terminal parallel transmission line: Analysis, simulation studies, and an adaptive distance relaying scheme, IEEE Trans. Power Delivery, vol.22, no.2, pp. 801-812. [3]. Dalstain T., and Kulicke B., 1995. Neural network-approach to fault classification for high speed protective relaying, IEEE Trans.Power Delivery, vol. 10, no. 2, pp. 1002-1011. [4]. Das B. and Vittal Reddy J., 2005. Fuzzy-Logic-Based fault classification scheme for digital distance protection, IEEE Trans.Power Delivery, vol.20, no.2, pp.609-616. [5]. Dong X., Kong W. and Cui T. (2009). Fault classification and faulted-phase selection based on the initial current travelling wave ,IEEE Trans. Power Delivery, vol.24, No.2, pp.552-559. [6]. Dr. Hamid H. Sherwali and Eng. Abdlmnam A. Abdlrahem (2009 ) Modeling of Numeric Distance Relay using MAtlab, Proceedings of IEEE, Symposium on Industrial Application ,ISIEA,2009, October , Kuala Lumpur, Malaysia [7]. Electricity Training Association, Power System Protection, Volume 4: Digital Protection and Signaling”, The Institution of Electrical Engineering, IEE, London (1995) IS)BN 0 85296 838 8 [8]. Y. H. Gu and M. H. J. Bollen,“Time-frequency and time-scale domainanalysis of voltage disturbances,”IEEE Trans. Power Del., vol. 15, no.4, pp. 1279–1284, Oct. 2000. [9]. Math H. J. Bollen, Fellow, IEEE ,EmmanouilStyvaktakis, and Irene Yu-HuaGu Senior Member, IEEE, Categorization and Analysis of Power System Transients, IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 20, NO. 3, JULY 2005 ,PP 2298 -2306 [10]. Nasser Tleis, (2009) Power System Modeling and fault analysis, Elsevier Ltd, 2008, ISBN 13 978 0 7506 8074 5 Rockefeller G.D.,(1969). Fault protection with a digital computer, IEEE Trans. Power App. and Syst., vol. 88, no.4, pp.438-464. [11].Sandro Gianny Aquiles Perez,(2006) “Modeling Relays for Power System Protection Studies”, Thesis Submitted to the College of Graduate Studies and Research, Department of Electrical Engineering University of Saskatchewan, Saskatchewan, Canada, July 2006 [12].Tripathi ,Supriya ;Zadgaonkar, A.S(2015) “Analysis of Transients Recorded by Numeric Relayin 220/ 400 kV system” IJRC,vol.2 issue 12