SlideShare a Scribd company logo
1 of 9
Download to read offline
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 3 Ver. IV (May. – Jun. 2016), PP 07-15
www.iosrjournals.org
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 7 | Page
Transmission Line Fault Detection Using Synchrophasor
Miss. Bharti R Phirke1
, Prof. D. S. Chavan2
1,2
Electrical EngineeringBharatiVidyapeeth Deemed University College of EngineeringPune, India
Abstract:The accuracy in fault detection and location is always a challenge for a power system engineer. The
current differential protection has the highest reliability among all types of protection scheme, but it is not being
used for transmission line protection because of certain problems such as CT ratio mismatch, pilot wire length,
tap changing transformer etc. This paper describes the details about the synchrophasor technology which uses
the GPS based time synchronization having the accuracy of the order of 1µs. This paper explored the flexibility
of the synchrophasor technology based current differential protection in Matlabsimulink and presented the
results for all types of faults with different fault resistance, inception angle, and fault location, and it is observed
the current differential protection using synchrophasor technology has almost the 100% reliability.
Keywords:current differential protection, charging current compensation,synchrophasor.
I. Introduction
Most of limitations of current differential protection can be overcome by digital current differential
protection based n microcomputer by using digital communication link. For digital differential protection, to
make differential comparison, not the current waveforms varying with time, to satisfy the requirement of current
differentialprinciple. The sample of protected line from all terminals can be time aligned in synchronization.
This kind of protection can be implemented using this technique, is known as synchronization Technology and
GPS are given. This is completely new technology. By using this technology for current differential protection
for transmission line having ideally no limit fits length.
II. New Theory Of Current Differential Protection
Capacitive current [1] could be using several new theories. Several ways to overcome capacitive
current have been suggested .Current differentialprotection will be able to overcome the capacitive current as a
way to protect UHV transmission line system. But these new theories have to be tested and implemented as in
electric power system. The relay protection reliability requirements are strict and precise. Therefore a simple
and feasible way to improve current differential protection which can compensate steady capacitive current and
transient without increasing the computation consumption, samplingrate, computation consumption and
telecommunication channel. Time domain compensation algorithm [2], for performing the differential equation
for transmission line of π equivalent circuit has been implemented recently. This algorithm is supposed to solve
the capacitive current problem for steady and transient distributed capacitive current.
III. Differential Protection Scheme For Transmission Line Using Synchrophasors
3.1 The System to Be Simulated
Specifications
Generator- 600MVA, 22KV, 60Hz, H= 4.4MW-S/MVA,
Xd= 1.81pu, Xd‟= 0.3pu, Xd”= 0.23pu,
Tdo‟=8s, Tdo”=0.03s, Xq= 1.76pu,
Xq”= 0.25pu, Tqo”=0.03pu,
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 8 | Page
Ra=0.003pu, Xp=0.15pu.
Transformer- 600MVA, 22/400KV, 60Hz,
Delta-Star, X=0.163pu, Xcore=0.33pu,
Rcore=0, Pcopper= 0.00177pu
Transmission Lines- Z1=0.12+j0.88 ohm/km,
Z0=0.309 +j1.297ohm/km, C1=1.0876*10^-08 F/KM
The system is simulated using MATLAB 7.8 software. Here we have consider the power factor of 0.9
lagging, therefore the active power transfer from sending end generator is 540MW, also for load flow analysis
we have considered the PV bus with voltage of 22KV.
3.2 Times-Domain Algorithm for Capacitive Current Compensation
3.2.1 Transmission Line Model
Fig 2 Shows The Transmission Line Π-Circuit And Its Equivalent Connection.
The distributed phase parameters are supposed to be uniform, symmetrical and positive current
direction flows toward line from bus for both terminals as an analysis for a long distance UHV transmission line
of protective relay beahvior.Expression for equivalent parameter of transmission line is given below.
Where Z & Y are the equivalent impedance and the equivalent admittance, Zc = Z
Y the surge
impedance, γ = zythe propagation coefficient, l is length of line, z and y the impedance and admittance per-
unit length of the line respectively.
The actual three-phase power system is separated to α,β,ο modal components system by using
Karenbauer phase-mode transformation for transient state analysis caused by unsymmetrical faults in time-
domain. Each module network is satisfy equation (1), (2) i.e equivalent parameters of a modal network are
describe below
where𝑍𝜋𝛼 is α modal surge impedance, , 𝑌𝜋𝛼 is α modal equivalent admittance,𝑍𝑐𝛼 = 𝑍𝛼
𝑌𝛼 is α
modal surge impedance, γα = 𝑍𝛼𝑌𝛼 is α modal propagation coefficient, l line length, Zα and Yα α modal
impedance and admittance per-unit length of the line, respectively . Modal networks for β and o can also be
obtained same as above equation. Above certain higher order harmonics frequency there are many
distinguishing frequency characteristics between distributed parameter and π model network. Below this
frequency there are similar characteristics for both model network. They are similar under fundamental
frequency condition. The applicable frequency range is not fixed but depends on system impedance and length
of line for each ,model based as per some simulations. The applicable frequency range are 0-200Hz and 0-
800Hz are the frequency ranges for R-L and π respectively for short line. They drop to 0–100Hz and 0–200Hz
respectively for long lines, whereas for entire frequency range, the distributed parameter model is applicable.
The π model can be behaved as time domain model by filtering out the high order harmonics that are
higher than a certain frequency. Fig 3 shows the π equivalent circuit of a model network in time domain (sample
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 9 | Page
based). Where Cα ,Rα and Lα are a modal equivalent capacitance of the line,modal equivalent resistance and
inductance of the transmission line, respectively. The β and o modal networks have similar equivalent circuits.
3.2.2 Calculation of Capacitive Current Compensation
The time domain compensation calculation process is explained, using fig .3 αmodal network. First,
transform the sampled data into modal quantities. The phase-to- modal transformation and its inverse are given
below.
Values for modal instantaneous values of the capacitive currents to be compensated at terminals m and n can be
calculated as follows.
A modal instantaneous values of the voltage on the buses at both m and m terminals are Vmα(t) and
Vnα(t) respectively.
For halflength, modal instantaneous line currents compensated in time domain at terminal m and n, using KCL
is as below
where Imp(t) and Inα(t) are the pre-compensation instantaneous values and Imα(t)‟
,Inα(t)‟are the
post-compensation instantaneous values of α modal line currents at terminals m and n, respectively. Same
process can be followed for instantaneous values calculation of β and o modal line currents after half-length
compensation. Substitute α, β and o modal instantaneous line currents to equation (6) of inverse phase-mode
transformation
Ima
Imb
Imc
=
1
3
1 1 1
1 −2 1
1 1 −2
Imο′
Imα′
Imβ′
(11)
Ina
Inb
Inc
=
1
3
1 1 1
1 −2 1
1 1 −2
Inο′
Inα′
Inβ′
(12)
Where Ima, Imb, Imc, Ina, Inb and Inc are the three phase instantaneous currents for time domain half
length compensation calculated at both ends of the transmission line.
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 10 | Page
3.2.3 Simulation Diagrams for Time Domain Compensation
Fig. 4Calculation of o, α and β components of sending and receiving end current
Fig. 5 Calculation of charging current components of sending and receiving end.
Fig.6 Calculation of Imo, Imα, Imβ and Ino, Inα, Inβ currents.
Fig.7 Calculation of sending and receiving end line currents after compensation
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 11 | Page
Fig. 8 Power system simulated for testing current differential protection for internal and external faults with
time domain compensation for charging current.
Fig. 9.Simulation diagram for finding difference of sending end and receiving end positive sequence current.
Fig 10.Difference of sending end and receiving end positive sequence current without any fault.
As described earlier, WAP and M based transmission line protection makes use of Differential
protection scheme which is simulated in the shown system.With transmission line, generator and infinite bus
parameters kept same.
The fault analysis is done by varying:
1. Type of fault:
a) L-G b) L-L c) L-L-G d) L-L-L-G (3phase balanced Fault)
2. Location 10%, 50% 90% (for 280 Km line)
3. Fault resistance
a)Very small (0.001Ω) b) Medium (10Ω c) High (100Ω)
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 12 | Page
These sending-end and receiving-end current waveforms are then sent to PMU for phasor
measurement, where by using additional modules in existing system we compute positive sequence component
of both sending-end and receiving-end currents.
These respective components of sending-end and receiving-end currents are then compared as if it is a
„current differential‟ protection scheme. Deploy a protection scheme on the fact that as the differential sequence
currents exceed certain set values of sequence currents the Differential distance protection scheme will issue a
trip command.By the works of Fortescue‟s, an unbalanced system of n related phasors is equivalent to n systems
of balanced phasors.These are called the symmetric components of the original phasors.
For each set of component ,nphasorsare equal in length and angle is set equal between phasors adjacent
to each other.
Three phase unbalanced system three balanced systems of phasors
1. Positive sequence component which include same magnitude of 3 phasors which are separated by 1200
from each other and having same phase sequence as the original phasors.
2. Negative sequence component which include same magnitude of 3 phasors which are separated by 1200
from each other. This phase sequence and sequence of original phasors are opposite to each other .
3. Zero sequence components which include same magnitude of 3 phasors and with zero phase displacement
from each other.
 Ia= Ia1 + Ia2 + Ia0
 Ib= Ib1 + Ib2+ Ib0
 Ic= Ic1 + Ic2 + Ic0
Traditionally these components can be obtained by using the operator viz. α
α = 1 1200
= -0.5 + j0.866
 Ib1 = α2
Ia1 Ic1 = α Ia1
 Ib2 = αIa2 Ic2 = α2
Ia2
 Ib0 = Ia0 Ic0 =Ia0
3.2.4 Fault Analysis
Table 1.Shows the results of fault analysis for L-G fault at different fault resistance, different fault
location, and different fault inception angle.
Table 1. L-G Fault Analysis
SR NO Type of Fault Inception angle(α) Fault Location Fault Resistance(Rf) Differential Current (Id)
1 L-G 0° 14KM 0.001Ω 1460A
2 L-G 0° 14KM 10Ω 1446A
3 L-G 0° 14KM 100Ω 844A
4 L-G 0° 140KM 0.001Ω 1130A
5 L-G 0° 140KM 10Ω 1106A
6 L-G 0° 140KM 100Ω 716A
7 L-G 0° 266KM 0.001Ω 6350A
8 L-G 0° 266KM 10Ω 4937A
9 L-G 0° 266KM 100Ω 935A
10 L-G 45° 14KM 0.001Ω 1463A
11 L-G 45° 14KM 10Ω 1448A
12 L-G 45° 14KM 100Ω 845A
13 L-G 45° 140KM 0.001Ω 1135A
14 L-G 45° 140KM 10Ω 1108A
15 L-G 45° 140KM 100Ω 717A
16 L-G 45° 266KM 0.001Ω 6355A
17 L-G 45° 266KM 10Ω 4938A
18 L-G 45° 266KM 100Ω 936A
19 L-G 90° 14KM 0.001Ω 1467A
20 L-G 90° 14KM 10Ω 1449A
21 L-G 90° 14KM 100Ω 845A
22 L-G 90° 140KM 0.001Ω 1137A
23 L-G 90° 140KM 10Ω 1107A
24 L-G 90° 140KM 100Ω 718A
25 L-G 90° 266KM 0.001Ω 6358A
26 L-G 90° 266KM 10Ω 4941A
27 L-G 90° 266KM 100Ω 936A
Table 2 shows the results of fault analysis for L-L fault at different fault resistance, different fault
location, and different fault inception angle.
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 13 | Page
Table 2. L-L Fault Analysis
SR NO Type of Fault Inception angle(α) Fault Location Fault Resistance(Rf) Differential Current (Id)
1 L-L 0° 14KM 0.001Ω 1920A
2 L-L 0° 14KM 10Ω 1900A
3 L-L 0° 14KM 100Ω 1226A
4 L-L 0° 140KM 0.001Ω 1815A
5 L-L 0° 140KM 10Ω 1784A
6 L-L 0° 140KM 100Ω 1134A
7 L-L 0° 266KM 0.001Ω 10880A
8 L-L 0° 266KM 10Ω 8200A
9 L-L 0° 266KM 100Ω 1418A
10 L-L 45° 14KM 0.001Ω 1922A
11 L-L 45° 14KM 10Ω 1901A
12 L-L 45° 14KM 100Ω 1227A
13 L-L 45° 140KM 0.001Ω 1816A
14 L-L 45° 140KM 10Ω 1787A
15 L-L 45° 140KM 100Ω 1136A
16 L-L 45° 266KM 0.001Ω 10883A
17 L-L 45° 266KM 10Ω 8202A
18 L-L 45° 266KM 100Ω 1420A
19 L-L 90° 14KM 0.001Ω 1925A
20 L-L 90° 14KM 10Ω 1904A
21 L-L 90° 14KM 100Ω 1229A
22 L-L 90° 140KM 0.001Ω 1818A
23 L-L 90° 140KM 10Ω 1789A
24 L-L 90° 140KM 100Ω 1137A
25 L-L 90° 266KM 0.001Ω 10887A
26 L-L 90° 266KM 10Ω 8206A
27 L-L 90° 266KM 100Ω 1422A
Table .3.shows the results of fault analysis for L-L-G fault at different fault resistance, different fault
location, and different fault inception angle.
Table.3. L-L-G Fault Analysis
SR NO TypeOf fault Inception angle(α) Fault Location Fault Resistance (Rf) Differential Current (Id)
1 L-L-G 0° 14KM 0.001Ω 2500A
2 L-L-G 0° 14KM 10Ω 2490A
3 L-L-G 0° 14KM 100Ω 1655A
4 L-L-G 0° 140KM 0.001Ω 2280A
5 L-L-G 0° 140KM 10Ω 2240A
6 L-L-G 0° 140KM 100Ω 1468A
7 L-L-G 0° 266KM 0.001Ω 13660A
8 L-L-G 0° 266KM 10Ω 10435A
9 L-L-G 0° 266KM 100Ω 1880A
10 L-L-G 45° 14KM 0.001Ω 2502A
11 L-L-G 45° 14KM 10Ω 2493A
12 L-L-G 45° 14KM 100Ω 1656A
13 L-L-G 45° 140KM 0.001Ω 2282A
14 L-L-G 45° 140KM 10Ω 2242A
15 L-L-G 45° 140KM 100Ω 1469A
16 L-L-G 45° 266KM 0.001Ω 13663A
17 L-L-G 45° 266KM 10Ω 10436A
18 L-L-G 45° 266KM 100Ω 1881A
19 L-L-G 90° 14KM 0.001Ω 2505A
20 L-L-G 90° 14KM 10Ω 2493A
21 L-L-G 90° 14KM 100Ω 1657A
22 L-L-G 90° 140KM 0.001Ω 2285A
23 L-L-G 90° 140KM 10Ω 2245A
24 L-L-G 90° 140KM 100Ω 1472A
25 L-L-G 90° 266KM 0.001Ω 13666A
26 L-L-G 90° 266KM 10Ω 10437A
27 L-L-G 90° 266KM 100Ω 1884A
Table .4.shows the results of fault analysis for L-L-L-G fault at different fault resistance, different fault
location, and different fault inception angle.
Table .4. L-L-L-G Fault Analysis
SR NO Type of Fault Inception angle(α) Fault Location Fault Resistance(Rf) Differential Current (Id)
1 L-L-L-G 0° 14KM 0.001Ω 3350A
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 14 | Page
2 L-L-L-G 0° 14KM 10Ω 3300A
3 L-L-L-G 0° 14KM 100Ω 2420A
4 L-L-L-G 0° 140KM 0.001Ω 3400A
5 L-L-L-G 0° 140KM 10Ω 3360A
6 L-L-L-G 0° 140KM 100Ω 2240A
7 L-L-L-G 0° 266KM 0.001Ω 21400A
8 L-L-L-G 0° 266KM 10Ω 16350A
9 L-L-L-G 0° 266KM 100Ω 2838A
10 L-L-L-G 45° 14KM 0.001Ω 3352A
11 L-L-L-G 45° 14KM 10Ω 3302A
12 L-L-L-G 45° 14KM 100Ω 2423A
13 L-L-L-G 45° 140KM 0.001Ω 3403A
14 L-L-L-G 45° 140KM 10Ω 3361A
15 L-L-L-G 45° 140KM 100Ω 2242A
16 L-L-L-G 45° 266KM 0.001Ω 21403A
17 L-L-L-G 45° 266KM 10Ω 16353A
18 L-L-L-G 45° 266KM 100Ω 2840A
19 L-L-L-G 90° 14KM 0.001Ω 3355A
20 L-L-L-G 90° 14KM 10Ω 3304A
21 L-L-L-G 90° 14KM 100Ω 2426A
22 L-L-L-G 90° 140KM 0.001Ω 3405A
23 L-L-L-G 90° 140KM 10Ω 3366A
24 L-L-L-G 90° 140KM 100Ω 2245A
25 L-L-L-G 90° 266KM 0.001Ω 21408A
26 L-L-L-G 90° 266KM 10Ω 16357A
27 L-L-L-G 90° 266KM 100Ω 2844A
Fig. 11 shows the minimum differential fault current from the above fault analysis tables for the
condition L-G Fault, 0° inception angle, fault location 50%, and fault resistance100Ω
Fig. 11 Minimum positive sequence differential fault current 716A
Fig. 12 shows the Maximum differential fault current from the above fault analysis table for the
condition L-L-L-G Fault, 90° inception angle, fault location 90%, and fault resistance 0.001Ω
Fig. 12Maximum positive sequence differential fault current 21.408KA
3.2.5 Conclusions From Table And Graphs
After studying all the types of faults under various conditions, we observe that minimum fault current
occurs for L-G fault at 50% with high fault resistance (100Ω). The pick-up value of the relay should be set
below this value, and above the value under normal condition.
Transmission Line Fault Detection Using Synchrophasor
DOI: 10.9790/1676-1103040715 www.iosrjournals.org 15 | Page
IV. Conclusion
The results of the synchrophasors based current differential protection scheme shows that, whatever
may be the type of fault, inception angle, fault resistance and fault location, the fault is being detected. Means
this synchrophasors based current differential protection scheme gives almost 100% reliability, which would
have not got in case of Distance protection scheme. Also, because of Global Positioning System (GPS) there is
no limit on transmission line length which is to be protected. This feature of this technique makes it the better
replacement for present Distance Protection system.
References
[1]. Yuan R., Chen D., Yin X., Zhang Z., Ma T., Chen W.: „Principle and property investigation of the transient current differential
protection based on correlation analysis‟. Presented at the IEEE Int. Conf. Power Engineering Society Winter Meeting, 2000, pp.
1945–1949
[2]. Ito H., Shuto I., Ayakawa H., Beaumont P., Okuno K.: „Development of an improved multifunction high speed operating current
differential relay for transmission line protection‟. Presented at the 7th IEE Int. Conf. Developments in Power System Protection,
April 2001, pp. 511–514
[3]. Z. Yining S. Jiale, “Phaselet-based current differential protection scheme based on transient Capacitive current compensation” IET
Generation, Transmission, Distribution, 2008, Vol. 2, No. 4, pp. 469–477/469 doi: 10.1049/iet-gtd: 2007.0494.
[4]. Jiale S., Xiaoning K., Guobing S., Zaibin J., Baoji Y.: „Survey on relay protection using parameter identification‟, Proc. CSUEPSA,
2007, 19, (1), pp. 14–20
[5]. Book: P. Kundur, “Power System Stability and Control”, Tata McGraw-Hill Publication, 5th
reprint 2008.
[6]. Book: Sunil S. Rao, “Switch-Gear & Protection” Khanna Publishers, Delhi-6, 5th
Edition

More Related Content

What's hot

FAULT DETECTION ON OVERHEAD TRANSMISSION LINE USING ARTIFICIAL NEURAL NET...
 FAULT DETECTION ON OVERHEAD TRANSMISSION LINE  USING ARTIFICIAL NEURAL NET... FAULT DETECTION ON OVERHEAD TRANSMISSION LINE  USING ARTIFICIAL NEURAL NET...
FAULT DETECTION ON OVERHEAD TRANSMISSION LINE USING ARTIFICIAL NEURAL NET...Politeknik Negeri Ujung Pandang
 
A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...
A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...
A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...Nidheesh Namboodhiri
 
Field trial with a gsmdcs1800 smart antenna base station
Field trial with a gsmdcs1800 smart antenna base station Field trial with a gsmdcs1800 smart antenna base station
Field trial with a gsmdcs1800 smart antenna base station marwaeng
 
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...IRJET Journal
 
Laboratory Setup for Long Transmission Line
Laboratory Setup for Long Transmission LineLaboratory Setup for Long Transmission Line
Laboratory Setup for Long Transmission LineIRJET Journal
 
A new cost effective sensorless commutation
A new cost effective sensorless commutationA new cost effective sensorless commutation
A new cost effective sensorless commutationHemchand Immaneni
 
Analysis of harmonics and resonances in hvdc mmc link connected to AC grid
Analysis of harmonics and resonances in hvdc mmc link connected to AC gridAnalysis of harmonics and resonances in hvdc mmc link connected to AC grid
Analysis of harmonics and resonances in hvdc mmc link connected to AC gridBérengère VIGNAUX
 
Transients Caused by Switching of 420 kV Three-Phase Variable Shunt Reactor
Transients Caused by Switching of 420 kV Three-Phase Variable Shunt ReactorTransients Caused by Switching of 420 kV Three-Phase Variable Shunt Reactor
Transients Caused by Switching of 420 kV Three-Phase Variable Shunt ReactorBérengère VIGNAUX
 
A Comparison of Two Active Resonance Dampers
A Comparison of Two Active Resonance DampersA Comparison of Two Active Resonance Dampers
A Comparison of Two Active Resonance DampersAlessandro Burgio
 
Fault Location Of Transmission Line
Fault Location Of Transmission LineFault Location Of Transmission Line
Fault Location Of Transmission LineCHIRANJEEB DASH
 
SEMI ADIABATIC ECRL AND PFAL FULL ADDER
SEMI ADIABATIC ECRL AND PFAL FULL ADDERSEMI ADIABATIC ECRL AND PFAL FULL ADDER
SEMI ADIABATIC ECRL AND PFAL FULL ADDERcsandit
 
Wide Area Fault Location for Power Transmission Network using Reactance Based...
Wide Area Fault Location for Power Transmission Network using Reactance Based...Wide Area Fault Location for Power Transmission Network using Reactance Based...
Wide Area Fault Location for Power Transmission Network using Reactance Based...Muhd Hafizi Idris
 

What's hot (19)

FAULT DETECTION ON OVERHEAD TRANSMISSION LINE USING ARTIFICIAL NEURAL NET...
 FAULT DETECTION ON OVERHEAD TRANSMISSION LINE  USING ARTIFICIAL NEURAL NET... FAULT DETECTION ON OVERHEAD TRANSMISSION LINE  USING ARTIFICIAL NEURAL NET...
FAULT DETECTION ON OVERHEAD TRANSMISSION LINE USING ARTIFICIAL NEURAL NET...
 
1743 1748
1743 17481743 1748
1743 1748
 
Ppt fault location
Ppt fault locationPpt fault location
Ppt fault location
 
A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...
A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...
A Novel Approach for Fault Location of Overhead Transmission Line With Noncon...
 
Field trial with a gsmdcs1800 smart antenna base station
Field trial with a gsmdcs1800 smart antenna base station Field trial with a gsmdcs1800 smart antenna base station
Field trial with a gsmdcs1800 smart antenna base station
 
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
Double Circuit Transmission Line Protection using Line Trap & Artificial Neur...
 
Fred_Plumier_PhD_Slides
Fred_Plumier_PhD_SlidesFred_Plumier_PhD_Slides
Fred_Plumier_PhD_Slides
 
Laboratory Setup for Long Transmission Line
Laboratory Setup for Long Transmission LineLaboratory Setup for Long Transmission Line
Laboratory Setup for Long Transmission Line
 
Z35149151
Z35149151Z35149151
Z35149151
 
A new cost effective sensorless commutation
A new cost effective sensorless commutationA new cost effective sensorless commutation
A new cost effective sensorless commutation
 
K1102016673
K1102016673K1102016673
K1102016673
 
Analysis of harmonics and resonances in hvdc mmc link connected to AC grid
Analysis of harmonics and resonances in hvdc mmc link connected to AC gridAnalysis of harmonics and resonances in hvdc mmc link connected to AC grid
Analysis of harmonics and resonances in hvdc mmc link connected to AC grid
 
Transients Caused by Switching of 420 kV Three-Phase Variable Shunt Reactor
Transients Caused by Switching of 420 kV Three-Phase Variable Shunt ReactorTransients Caused by Switching of 420 kV Three-Phase Variable Shunt Reactor
Transients Caused by Switching of 420 kV Three-Phase Variable Shunt Reactor
 
A Comparison of Two Active Resonance Dampers
A Comparison of Two Active Resonance DampersA Comparison of Two Active Resonance Dampers
A Comparison of Two Active Resonance Dampers
 
Fault Location Of Transmission Line
Fault Location Of Transmission LineFault Location Of Transmission Line
Fault Location Of Transmission Line
 
POD-PWM BASED CAPACITOR CLAMPED MULTILEVEL INVERTER
POD-PWM BASED CAPACITOR CLAMPED MULTILEVEL INVERTERPOD-PWM BASED CAPACITOR CLAMPED MULTILEVEL INVERTER
POD-PWM BASED CAPACITOR CLAMPED MULTILEVEL INVERTER
 
SEMI ADIABATIC ECRL AND PFAL FULL ADDER
SEMI ADIABATIC ECRL AND PFAL FULL ADDERSEMI ADIABATIC ECRL AND PFAL FULL ADDER
SEMI ADIABATIC ECRL AND PFAL FULL ADDER
 
ICICCE0324
ICICCE0324ICICCE0324
ICICCE0324
 
Wide Area Fault Location for Power Transmission Network using Reactance Based...
Wide Area Fault Location for Power Transmission Network using Reactance Based...Wide Area Fault Location for Power Transmission Network using Reactance Based...
Wide Area Fault Location for Power Transmission Network using Reactance Based...
 

Viewers also liked

Viewers also liked (20)

B1802021823
B1802021823B1802021823
B1802021823
 
Evaluation of titanium in hydrochloric acid solutions containing corrosion in...
Evaluation of titanium in hydrochloric acid solutions containing corrosion in...Evaluation of titanium in hydrochloric acid solutions containing corrosion in...
Evaluation of titanium in hydrochloric acid solutions containing corrosion in...
 
I011115964
I011115964I011115964
I011115964
 
C012541523
C012541523C012541523
C012541523
 
B1303050813
B1303050813B1303050813
B1303050813
 
K1302036973
K1302036973K1302036973
K1302036973
 
O130306104110
O130306104110O130306104110
O130306104110
 
Performance Evaluation of Basic Segmented Algorithms for Brain Tumor Detection
Performance Evaluation of Basic Segmented Algorithms for Brain Tumor DetectionPerformance Evaluation of Basic Segmented Algorithms for Brain Tumor Detection
Performance Evaluation of Basic Segmented Algorithms for Brain Tumor Detection
 
C017510717
C017510717C017510717
C017510717
 
B1303070716
B1303070716B1303070716
B1303070716
 
F017323439
F017323439F017323439
F017323439
 
I017355767
I017355767I017355767
I017355767
 
B1102010712
B1102010712B1102010712
B1102010712
 
H010114954
H010114954H010114954
H010114954
 
E012632429
E012632429E012632429
E012632429
 
B012530710
B012530710B012530710
B012530710
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
 
F017663344
F017663344F017663344
F017663344
 
I017525560
I017525560I017525560
I017525560
 
P180203105108
P180203105108P180203105108
P180203105108
 

Similar to B1103040715

Moshtagh new-approach-ieee-2006
Moshtagh new-approach-ieee-2006Moshtagh new-approach-ieee-2006
Moshtagh new-approach-ieee-2006imeneii
 
Summary Presentation on PMU Based Transmission Line Protection Scheme
Summary Presentation on PMU Based Transmission Line Protection Scheme Summary Presentation on PMU Based Transmission Line Protection Scheme
Summary Presentation on PMU Based Transmission Line Protection Scheme Samuel Okhuegbe
 
A mho type phase comparator relay guideline using phase comparison technique ...
A mho type phase comparator relay guideline using phase comparison technique ...A mho type phase comparator relay guideline using phase comparison technique ...
A mho type phase comparator relay guideline using phase comparison technique ...IJECEIAES
 
Paper Publication 163-143696093856-61
Paper Publication 163-143696093856-61Paper Publication 163-143696093856-61
Paper Publication 163-143696093856-61sayaji nagargoje
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
 
Carbon nano tube based delay model for high speed energy efficient on chip da...
Carbon nano tube based delay model for high speed energy efficient on chip da...Carbon nano tube based delay model for high speed energy efficient on chip da...
Carbon nano tube based delay model for high speed energy efficient on chip da...elelijjournal
 
Digital Beamforming for Simultaneous Power and Information Transmission in Wi...
Digital Beamforming for Simultaneous Power and Information Transmission in Wi...Digital Beamforming for Simultaneous Power and Information Transmission in Wi...
Digital Beamforming for Simultaneous Power and Information Transmission in Wi...idescitation
 
A Fault Detection and Classification Method for SC Transmission Line Using Ph...
A Fault Detection and Classification Method for SC Transmission Line Using Ph...A Fault Detection and Classification Method for SC Transmission Line Using Ph...
A Fault Detection and Classification Method for SC Transmission Line Using Ph...paperpublications3
 
Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...
Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...
Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...idescitation
 
Distance Protection Scheme for Series Compensated Transmission Lines
Distance Protection Scheme for Series Compensated Transmission LinesDistance Protection Scheme for Series Compensated Transmission Lines
Distance Protection Scheme for Series Compensated Transmission LinesIJERA Editor
 
Wavelet based double line and double line -to- ground fault discrimination i...
Wavelet based double  line and double line -to- ground fault discrimination i...Wavelet based double  line and double line -to- ground fault discrimination i...
Wavelet based double line and double line -to- ground fault discrimination i...IAEME Publication
 
Wavelet based double line and double line -to- ground fault discrimination i...
Wavelet based double  line and double line -to- ground fault discrimination i...Wavelet based double  line and double line -to- ground fault discrimination i...
Wavelet based double line and double line -to- ground fault discrimination i...IAEME Publication
 
Wavelet based double line and double line -to- ground fault discrimination i...
Wavelet based double  line and double line -to- ground fault discrimination i...Wavelet based double  line and double line -to- ground fault discrimination i...
Wavelet based double line and double line -to- ground fault discrimination i...IAEME Publication
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentIJERD Editor
 
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...Permanent Fault Location in Distribution System Using Phasor Measurement Unit...
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...IJECEIAES
 
Simulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS SubstationSimulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS SubstationIOSR Journals
 
simulation and implementation of a spwm inverter pulse for educational purposes
simulation and implementation of a spwm inverter pulse for educational purposessimulation and implementation of a spwm inverter pulse for educational purposes
simulation and implementation of a spwm inverter pulse for educational purposesEleftheriosSamiotis1
 

Similar to B1103040715 (20)

Moshtagh new-approach-ieee-2006
Moshtagh new-approach-ieee-2006Moshtagh new-approach-ieee-2006
Moshtagh new-approach-ieee-2006
 
Summary Presentation on PMU Based Transmission Line Protection Scheme
Summary Presentation on PMU Based Transmission Line Protection Scheme Summary Presentation on PMU Based Transmission Line Protection Scheme
Summary Presentation on PMU Based Transmission Line Protection Scheme
 
A mho type phase comparator relay guideline using phase comparison technique ...
A mho type phase comparator relay guideline using phase comparison technique ...A mho type phase comparator relay guideline using phase comparison technique ...
A mho type phase comparator relay guideline using phase comparison technique ...
 
1743 1748
1743 17481743 1748
1743 1748
 
Paper Publication 163-143696093856-61
Paper Publication 163-143696093856-61Paper Publication 163-143696093856-61
Paper Publication 163-143696093856-61
 
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
 
Carbon nano tube based delay model for high speed energy efficient on chip da...
Carbon nano tube based delay model for high speed energy efficient on chip da...Carbon nano tube based delay model for high speed energy efficient on chip da...
Carbon nano tube based delay model for high speed energy efficient on chip da...
 
Lp3619931999
Lp3619931999Lp3619931999
Lp3619931999
 
Digital Beamforming for Simultaneous Power and Information Transmission in Wi...
Digital Beamforming for Simultaneous Power and Information Transmission in Wi...Digital Beamforming for Simultaneous Power and Information Transmission in Wi...
Digital Beamforming for Simultaneous Power and Information Transmission in Wi...
 
Dc lab Manual
Dc lab ManualDc lab Manual
Dc lab Manual
 
A Fault Detection and Classification Method for SC Transmission Line Using Ph...
A Fault Detection and Classification Method for SC Transmission Line Using Ph...A Fault Detection and Classification Method for SC Transmission Line Using Ph...
A Fault Detection and Classification Method for SC Transmission Line Using Ph...
 
Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...
Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...
Signal-Energy Based Fault Classification of Unbalanced Network using S-Transf...
 
Distance Protection Scheme for Series Compensated Transmission Lines
Distance Protection Scheme for Series Compensated Transmission LinesDistance Protection Scheme for Series Compensated Transmission Lines
Distance Protection Scheme for Series Compensated Transmission Lines
 
Wavelet based double line and double line -to- ground fault discrimination i...
Wavelet based double  line and double line -to- ground fault discrimination i...Wavelet based double  line and double line -to- ground fault discrimination i...
Wavelet based double line and double line -to- ground fault discrimination i...
 
Wavelet based double line and double line -to- ground fault discrimination i...
Wavelet based double  line and double line -to- ground fault discrimination i...Wavelet based double  line and double line -to- ground fault discrimination i...
Wavelet based double line and double line -to- ground fault discrimination i...
 
Wavelet based double line and double line -to- ground fault discrimination i...
Wavelet based double  line and double line -to- ground fault discrimination i...Wavelet based double  line and double line -to- ground fault discrimination i...
Wavelet based double line and double line -to- ground fault discrimination i...
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...Permanent Fault Location in Distribution System Using Phasor Measurement Unit...
Permanent Fault Location in Distribution System Using Phasor Measurement Unit...
 
Simulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS SubstationSimulation and Partial Discharge Measurement in 400kv Typical GIS Substation
Simulation and Partial Discharge Measurement in 400kv Typical GIS Substation
 
simulation and implementation of a spwm inverter pulse for educational purposes
simulation and implementation of a spwm inverter pulse for educational purposessimulation and implementation of a spwm inverter pulse for educational purposes
simulation and implementation of a spwm inverter pulse for educational purposes
 

More from IOSR Journals (20)

A011140104
A011140104A011140104
A011140104
 
M0111397100
M0111397100M0111397100
M0111397100
 
L011138596
L011138596L011138596
L011138596
 
K011138084
K011138084K011138084
K011138084
 
J011137479
J011137479J011137479
J011137479
 
I011136673
I011136673I011136673
I011136673
 
G011134454
G011134454G011134454
G011134454
 
H011135565
H011135565H011135565
H011135565
 
F011134043
F011134043F011134043
F011134043
 
E011133639
E011133639E011133639
E011133639
 
D011132635
D011132635D011132635
D011132635
 
C011131925
C011131925C011131925
C011131925
 
B011130918
B011130918B011130918
B011130918
 
A011130108
A011130108A011130108
A011130108
 
I011125160
I011125160I011125160
I011125160
 
H011124050
H011124050H011124050
H011124050
 
G011123539
G011123539G011123539
G011123539
 
F011123134
F011123134F011123134
F011123134
 
E011122530
E011122530E011122530
E011122530
 
D011121524
D011121524D011121524
D011121524
 

Recently uploaded

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfngoud9212
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 

Recently uploaded (20)

Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdf
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 

B1103040715

  • 1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 3 Ver. IV (May. – Jun. 2016), PP 07-15 www.iosrjournals.org DOI: 10.9790/1676-1103040715 www.iosrjournals.org 7 | Page Transmission Line Fault Detection Using Synchrophasor Miss. Bharti R Phirke1 , Prof. D. S. Chavan2 1,2 Electrical EngineeringBharatiVidyapeeth Deemed University College of EngineeringPune, India Abstract:The accuracy in fault detection and location is always a challenge for a power system engineer. The current differential protection has the highest reliability among all types of protection scheme, but it is not being used for transmission line protection because of certain problems such as CT ratio mismatch, pilot wire length, tap changing transformer etc. This paper describes the details about the synchrophasor technology which uses the GPS based time synchronization having the accuracy of the order of 1µs. This paper explored the flexibility of the synchrophasor technology based current differential protection in Matlabsimulink and presented the results for all types of faults with different fault resistance, inception angle, and fault location, and it is observed the current differential protection using synchrophasor technology has almost the 100% reliability. Keywords:current differential protection, charging current compensation,synchrophasor. I. Introduction Most of limitations of current differential protection can be overcome by digital current differential protection based n microcomputer by using digital communication link. For digital differential protection, to make differential comparison, not the current waveforms varying with time, to satisfy the requirement of current differentialprinciple. The sample of protected line from all terminals can be time aligned in synchronization. This kind of protection can be implemented using this technique, is known as synchronization Technology and GPS are given. This is completely new technology. By using this technology for current differential protection for transmission line having ideally no limit fits length. II. New Theory Of Current Differential Protection Capacitive current [1] could be using several new theories. Several ways to overcome capacitive current have been suggested .Current differentialprotection will be able to overcome the capacitive current as a way to protect UHV transmission line system. But these new theories have to be tested and implemented as in electric power system. The relay protection reliability requirements are strict and precise. Therefore a simple and feasible way to improve current differential protection which can compensate steady capacitive current and transient without increasing the computation consumption, samplingrate, computation consumption and telecommunication channel. Time domain compensation algorithm [2], for performing the differential equation for transmission line of π equivalent circuit has been implemented recently. This algorithm is supposed to solve the capacitive current problem for steady and transient distributed capacitive current. III. Differential Protection Scheme For Transmission Line Using Synchrophasors 3.1 The System to Be Simulated Specifications Generator- 600MVA, 22KV, 60Hz, H= 4.4MW-S/MVA, Xd= 1.81pu, Xd‟= 0.3pu, Xd”= 0.23pu, Tdo‟=8s, Tdo”=0.03s, Xq= 1.76pu, Xq”= 0.25pu, Tqo”=0.03pu,
  • 2. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 8 | Page Ra=0.003pu, Xp=0.15pu. Transformer- 600MVA, 22/400KV, 60Hz, Delta-Star, X=0.163pu, Xcore=0.33pu, Rcore=0, Pcopper= 0.00177pu Transmission Lines- Z1=0.12+j0.88 ohm/km, Z0=0.309 +j1.297ohm/km, C1=1.0876*10^-08 F/KM The system is simulated using MATLAB 7.8 software. Here we have consider the power factor of 0.9 lagging, therefore the active power transfer from sending end generator is 540MW, also for load flow analysis we have considered the PV bus with voltage of 22KV. 3.2 Times-Domain Algorithm for Capacitive Current Compensation 3.2.1 Transmission Line Model Fig 2 Shows The Transmission Line Π-Circuit And Its Equivalent Connection. The distributed phase parameters are supposed to be uniform, symmetrical and positive current direction flows toward line from bus for both terminals as an analysis for a long distance UHV transmission line of protective relay beahvior.Expression for equivalent parameter of transmission line is given below. Where Z & Y are the equivalent impedance and the equivalent admittance, Zc = Z Y the surge impedance, γ = zythe propagation coefficient, l is length of line, z and y the impedance and admittance per- unit length of the line respectively. The actual three-phase power system is separated to α,β,ο modal components system by using Karenbauer phase-mode transformation for transient state analysis caused by unsymmetrical faults in time- domain. Each module network is satisfy equation (1), (2) i.e equivalent parameters of a modal network are describe below where𝑍𝜋𝛼 is α modal surge impedance, , 𝑌𝜋𝛼 is α modal equivalent admittance,𝑍𝑐𝛼 = 𝑍𝛼 𝑌𝛼 is α modal surge impedance, γα = 𝑍𝛼𝑌𝛼 is α modal propagation coefficient, l line length, Zα and Yα α modal impedance and admittance per-unit length of the line, respectively . Modal networks for β and o can also be obtained same as above equation. Above certain higher order harmonics frequency there are many distinguishing frequency characteristics between distributed parameter and π model network. Below this frequency there are similar characteristics for both model network. They are similar under fundamental frequency condition. The applicable frequency range is not fixed but depends on system impedance and length of line for each ,model based as per some simulations. The applicable frequency range are 0-200Hz and 0- 800Hz are the frequency ranges for R-L and π respectively for short line. They drop to 0–100Hz and 0–200Hz respectively for long lines, whereas for entire frequency range, the distributed parameter model is applicable. The π model can be behaved as time domain model by filtering out the high order harmonics that are higher than a certain frequency. Fig 3 shows the π equivalent circuit of a model network in time domain (sample
  • 3. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 9 | Page based). Where Cα ,Rα and Lα are a modal equivalent capacitance of the line,modal equivalent resistance and inductance of the transmission line, respectively. The β and o modal networks have similar equivalent circuits. 3.2.2 Calculation of Capacitive Current Compensation The time domain compensation calculation process is explained, using fig .3 αmodal network. First, transform the sampled data into modal quantities. The phase-to- modal transformation and its inverse are given below. Values for modal instantaneous values of the capacitive currents to be compensated at terminals m and n can be calculated as follows. A modal instantaneous values of the voltage on the buses at both m and m terminals are Vmα(t) and Vnα(t) respectively. For halflength, modal instantaneous line currents compensated in time domain at terminal m and n, using KCL is as below where Imp(t) and Inα(t) are the pre-compensation instantaneous values and Imα(t)‟ ,Inα(t)‟are the post-compensation instantaneous values of α modal line currents at terminals m and n, respectively. Same process can be followed for instantaneous values calculation of β and o modal line currents after half-length compensation. Substitute α, β and o modal instantaneous line currents to equation (6) of inverse phase-mode transformation Ima Imb Imc = 1 3 1 1 1 1 −2 1 1 1 −2 Imο′ Imα′ Imβ′ (11) Ina Inb Inc = 1 3 1 1 1 1 −2 1 1 1 −2 Inο′ Inα′ Inβ′ (12) Where Ima, Imb, Imc, Ina, Inb and Inc are the three phase instantaneous currents for time domain half length compensation calculated at both ends of the transmission line.
  • 4. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 10 | Page 3.2.3 Simulation Diagrams for Time Domain Compensation Fig. 4Calculation of o, α and β components of sending and receiving end current Fig. 5 Calculation of charging current components of sending and receiving end. Fig.6 Calculation of Imo, Imα, Imβ and Ino, Inα, Inβ currents. Fig.7 Calculation of sending and receiving end line currents after compensation
  • 5. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 11 | Page Fig. 8 Power system simulated for testing current differential protection for internal and external faults with time domain compensation for charging current. Fig. 9.Simulation diagram for finding difference of sending end and receiving end positive sequence current. Fig 10.Difference of sending end and receiving end positive sequence current without any fault. As described earlier, WAP and M based transmission line protection makes use of Differential protection scheme which is simulated in the shown system.With transmission line, generator and infinite bus parameters kept same. The fault analysis is done by varying: 1. Type of fault: a) L-G b) L-L c) L-L-G d) L-L-L-G (3phase balanced Fault) 2. Location 10%, 50% 90% (for 280 Km line) 3. Fault resistance a)Very small (0.001Ω) b) Medium (10Ω c) High (100Ω)
  • 6. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 12 | Page These sending-end and receiving-end current waveforms are then sent to PMU for phasor measurement, where by using additional modules in existing system we compute positive sequence component of both sending-end and receiving-end currents. These respective components of sending-end and receiving-end currents are then compared as if it is a „current differential‟ protection scheme. Deploy a protection scheme on the fact that as the differential sequence currents exceed certain set values of sequence currents the Differential distance protection scheme will issue a trip command.By the works of Fortescue‟s, an unbalanced system of n related phasors is equivalent to n systems of balanced phasors.These are called the symmetric components of the original phasors. For each set of component ,nphasorsare equal in length and angle is set equal between phasors adjacent to each other. Three phase unbalanced system three balanced systems of phasors 1. Positive sequence component which include same magnitude of 3 phasors which are separated by 1200 from each other and having same phase sequence as the original phasors. 2. Negative sequence component which include same magnitude of 3 phasors which are separated by 1200 from each other. This phase sequence and sequence of original phasors are opposite to each other . 3. Zero sequence components which include same magnitude of 3 phasors and with zero phase displacement from each other.  Ia= Ia1 + Ia2 + Ia0  Ib= Ib1 + Ib2+ Ib0  Ic= Ic1 + Ic2 + Ic0 Traditionally these components can be obtained by using the operator viz. α α = 1 1200 = -0.5 + j0.866  Ib1 = α2 Ia1 Ic1 = α Ia1  Ib2 = αIa2 Ic2 = α2 Ia2  Ib0 = Ia0 Ic0 =Ia0 3.2.4 Fault Analysis Table 1.Shows the results of fault analysis for L-G fault at different fault resistance, different fault location, and different fault inception angle. Table 1. L-G Fault Analysis SR NO Type of Fault Inception angle(α) Fault Location Fault Resistance(Rf) Differential Current (Id) 1 L-G 0° 14KM 0.001Ω 1460A 2 L-G 0° 14KM 10Ω 1446A 3 L-G 0° 14KM 100Ω 844A 4 L-G 0° 140KM 0.001Ω 1130A 5 L-G 0° 140KM 10Ω 1106A 6 L-G 0° 140KM 100Ω 716A 7 L-G 0° 266KM 0.001Ω 6350A 8 L-G 0° 266KM 10Ω 4937A 9 L-G 0° 266KM 100Ω 935A 10 L-G 45° 14KM 0.001Ω 1463A 11 L-G 45° 14KM 10Ω 1448A 12 L-G 45° 14KM 100Ω 845A 13 L-G 45° 140KM 0.001Ω 1135A 14 L-G 45° 140KM 10Ω 1108A 15 L-G 45° 140KM 100Ω 717A 16 L-G 45° 266KM 0.001Ω 6355A 17 L-G 45° 266KM 10Ω 4938A 18 L-G 45° 266KM 100Ω 936A 19 L-G 90° 14KM 0.001Ω 1467A 20 L-G 90° 14KM 10Ω 1449A 21 L-G 90° 14KM 100Ω 845A 22 L-G 90° 140KM 0.001Ω 1137A 23 L-G 90° 140KM 10Ω 1107A 24 L-G 90° 140KM 100Ω 718A 25 L-G 90° 266KM 0.001Ω 6358A 26 L-G 90° 266KM 10Ω 4941A 27 L-G 90° 266KM 100Ω 936A Table 2 shows the results of fault analysis for L-L fault at different fault resistance, different fault location, and different fault inception angle.
  • 7. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 13 | Page Table 2. L-L Fault Analysis SR NO Type of Fault Inception angle(α) Fault Location Fault Resistance(Rf) Differential Current (Id) 1 L-L 0° 14KM 0.001Ω 1920A 2 L-L 0° 14KM 10Ω 1900A 3 L-L 0° 14KM 100Ω 1226A 4 L-L 0° 140KM 0.001Ω 1815A 5 L-L 0° 140KM 10Ω 1784A 6 L-L 0° 140KM 100Ω 1134A 7 L-L 0° 266KM 0.001Ω 10880A 8 L-L 0° 266KM 10Ω 8200A 9 L-L 0° 266KM 100Ω 1418A 10 L-L 45° 14KM 0.001Ω 1922A 11 L-L 45° 14KM 10Ω 1901A 12 L-L 45° 14KM 100Ω 1227A 13 L-L 45° 140KM 0.001Ω 1816A 14 L-L 45° 140KM 10Ω 1787A 15 L-L 45° 140KM 100Ω 1136A 16 L-L 45° 266KM 0.001Ω 10883A 17 L-L 45° 266KM 10Ω 8202A 18 L-L 45° 266KM 100Ω 1420A 19 L-L 90° 14KM 0.001Ω 1925A 20 L-L 90° 14KM 10Ω 1904A 21 L-L 90° 14KM 100Ω 1229A 22 L-L 90° 140KM 0.001Ω 1818A 23 L-L 90° 140KM 10Ω 1789A 24 L-L 90° 140KM 100Ω 1137A 25 L-L 90° 266KM 0.001Ω 10887A 26 L-L 90° 266KM 10Ω 8206A 27 L-L 90° 266KM 100Ω 1422A Table .3.shows the results of fault analysis for L-L-G fault at different fault resistance, different fault location, and different fault inception angle. Table.3. L-L-G Fault Analysis SR NO TypeOf fault Inception angle(α) Fault Location Fault Resistance (Rf) Differential Current (Id) 1 L-L-G 0° 14KM 0.001Ω 2500A 2 L-L-G 0° 14KM 10Ω 2490A 3 L-L-G 0° 14KM 100Ω 1655A 4 L-L-G 0° 140KM 0.001Ω 2280A 5 L-L-G 0° 140KM 10Ω 2240A 6 L-L-G 0° 140KM 100Ω 1468A 7 L-L-G 0° 266KM 0.001Ω 13660A 8 L-L-G 0° 266KM 10Ω 10435A 9 L-L-G 0° 266KM 100Ω 1880A 10 L-L-G 45° 14KM 0.001Ω 2502A 11 L-L-G 45° 14KM 10Ω 2493A 12 L-L-G 45° 14KM 100Ω 1656A 13 L-L-G 45° 140KM 0.001Ω 2282A 14 L-L-G 45° 140KM 10Ω 2242A 15 L-L-G 45° 140KM 100Ω 1469A 16 L-L-G 45° 266KM 0.001Ω 13663A 17 L-L-G 45° 266KM 10Ω 10436A 18 L-L-G 45° 266KM 100Ω 1881A 19 L-L-G 90° 14KM 0.001Ω 2505A 20 L-L-G 90° 14KM 10Ω 2493A 21 L-L-G 90° 14KM 100Ω 1657A 22 L-L-G 90° 140KM 0.001Ω 2285A 23 L-L-G 90° 140KM 10Ω 2245A 24 L-L-G 90° 140KM 100Ω 1472A 25 L-L-G 90° 266KM 0.001Ω 13666A 26 L-L-G 90° 266KM 10Ω 10437A 27 L-L-G 90° 266KM 100Ω 1884A Table .4.shows the results of fault analysis for L-L-L-G fault at different fault resistance, different fault location, and different fault inception angle. Table .4. L-L-L-G Fault Analysis SR NO Type of Fault Inception angle(α) Fault Location Fault Resistance(Rf) Differential Current (Id) 1 L-L-L-G 0° 14KM 0.001Ω 3350A
  • 8. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 14 | Page 2 L-L-L-G 0° 14KM 10Ω 3300A 3 L-L-L-G 0° 14KM 100Ω 2420A 4 L-L-L-G 0° 140KM 0.001Ω 3400A 5 L-L-L-G 0° 140KM 10Ω 3360A 6 L-L-L-G 0° 140KM 100Ω 2240A 7 L-L-L-G 0° 266KM 0.001Ω 21400A 8 L-L-L-G 0° 266KM 10Ω 16350A 9 L-L-L-G 0° 266KM 100Ω 2838A 10 L-L-L-G 45° 14KM 0.001Ω 3352A 11 L-L-L-G 45° 14KM 10Ω 3302A 12 L-L-L-G 45° 14KM 100Ω 2423A 13 L-L-L-G 45° 140KM 0.001Ω 3403A 14 L-L-L-G 45° 140KM 10Ω 3361A 15 L-L-L-G 45° 140KM 100Ω 2242A 16 L-L-L-G 45° 266KM 0.001Ω 21403A 17 L-L-L-G 45° 266KM 10Ω 16353A 18 L-L-L-G 45° 266KM 100Ω 2840A 19 L-L-L-G 90° 14KM 0.001Ω 3355A 20 L-L-L-G 90° 14KM 10Ω 3304A 21 L-L-L-G 90° 14KM 100Ω 2426A 22 L-L-L-G 90° 140KM 0.001Ω 3405A 23 L-L-L-G 90° 140KM 10Ω 3366A 24 L-L-L-G 90° 140KM 100Ω 2245A 25 L-L-L-G 90° 266KM 0.001Ω 21408A 26 L-L-L-G 90° 266KM 10Ω 16357A 27 L-L-L-G 90° 266KM 100Ω 2844A Fig. 11 shows the minimum differential fault current from the above fault analysis tables for the condition L-G Fault, 0° inception angle, fault location 50%, and fault resistance100Ω Fig. 11 Minimum positive sequence differential fault current 716A Fig. 12 shows the Maximum differential fault current from the above fault analysis table for the condition L-L-L-G Fault, 90° inception angle, fault location 90%, and fault resistance 0.001Ω Fig. 12Maximum positive sequence differential fault current 21.408KA 3.2.5 Conclusions From Table And Graphs After studying all the types of faults under various conditions, we observe that minimum fault current occurs for L-G fault at 50% with high fault resistance (100Ω). The pick-up value of the relay should be set below this value, and above the value under normal condition.
  • 9. Transmission Line Fault Detection Using Synchrophasor DOI: 10.9790/1676-1103040715 www.iosrjournals.org 15 | Page IV. Conclusion The results of the synchrophasors based current differential protection scheme shows that, whatever may be the type of fault, inception angle, fault resistance and fault location, the fault is being detected. Means this synchrophasors based current differential protection scheme gives almost 100% reliability, which would have not got in case of Distance protection scheme. Also, because of Global Positioning System (GPS) there is no limit on transmission line length which is to be protected. This feature of this technique makes it the better replacement for present Distance Protection system. References [1]. Yuan R., Chen D., Yin X., Zhang Z., Ma T., Chen W.: „Principle and property investigation of the transient current differential protection based on correlation analysis‟. Presented at the IEEE Int. Conf. Power Engineering Society Winter Meeting, 2000, pp. 1945–1949 [2]. Ito H., Shuto I., Ayakawa H., Beaumont P., Okuno K.: „Development of an improved multifunction high speed operating current differential relay for transmission line protection‟. Presented at the 7th IEE Int. Conf. Developments in Power System Protection, April 2001, pp. 511–514 [3]. Z. Yining S. Jiale, “Phaselet-based current differential protection scheme based on transient Capacitive current compensation” IET Generation, Transmission, Distribution, 2008, Vol. 2, No. 4, pp. 469–477/469 doi: 10.1049/iet-gtd: 2007.0494. [4]. Jiale S., Xiaoning K., Guobing S., Zaibin J., Baoji Y.: „Survey on relay protection using parameter identification‟, Proc. CSUEPSA, 2007, 19, (1), pp. 14–20 [5]. Book: P. Kundur, “Power System Stability and Control”, Tata McGraw-Hill Publication, 5th reprint 2008. [6]. Book: Sunil S. Rao, “Switch-Gear & Protection” Khanna Publishers, Delhi-6, 5th Edition