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[Sharma, 1(7): Sep., 2012]
http: // www.ijesrt.com (C) International Journal of Engineering
IJESRT
INTERNATIONAL JOURNA
Transient Stability Analysis of Power System Using Matlab
*1
YMCA University of
2
DCR University of Science & Technology, Murthal
This paper presents transient stability assessment of multi
Transient stability of a power system is based on the generator relative rotor angles obtained from time domain
simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient
stability analysis is done by considering three
results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other
electromagnetic transient program.
Keywords: MATLAB, Simulink, FCT, tra
Introduction
Modern electric power systems have grown to a large
complexity due to interconnections, installation of
large generating units and extra high voltage tie
etc. Due to increased operations which may cause
power system to be highly stressed condition, t
need for dynamic stability of power system is arising.
Transient stability assessment (TSA) is part of
dynamic security assessment of power system which
evolves the evolution of the ability of power system
to remain in equilibrium when subjected to
disturbances. The system response to such
disturbances involves large variation of rotor angles,
power flows bus voltages and other system variables.
Transient stability is a condition that characterizes the
dynamics of power system subjected to a fault, the
initial state proceeding the fault is balanced one. A
system is said to posses transient stability if after the
fault it is capable of maintaining synchronous
operation and returning to initial state or close to it.
The transient stability is a function of
condition and the disturbance. This makes the
transient stability analysis complicated as the non
linear ties of the system cannot be ignored.
In stability assessment the critical clearing time
(CCT) is a very important parameter in order
maintain the stability of power system. The CCT is
maximum time duration that a fault may occur in
power system without loss of stability. Fault clearing
time is set randomly. If the fault clearing time (FCT)
is more than CCT then the relative rotor angles
ISSN: 2277
International Journal of Engineering Sciences & Research Technology
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH
TECHNOLOGY
Transient Stability Analysis of Power System Using Matlab
P R Sharma*1
, Narender Hooda2
YMCA University of Science and Technology Faridabad, India
DCR University of Science & Technology, Murthal
prsharma1966@gmail.com
Abstract
This paper presents transient stability assessment of multi-machine system with the help of Simulink based model.
of a power system is based on the generator relative rotor angles obtained from time domain
simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient
stability analysis is done by considering three phase fault at a bus with different Fault Clearing Time (FCT) and the
results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other
k, FCT, transient stability.
Modern electric power systems have grown to a large
complexity due to interconnections, installation of
large generating units and extra high voltage tie-lines
etc. Due to increased operations which may cause
power system to be highly stressed condition, the
need for dynamic stability of power system is arising.
Transient stability assessment (TSA) is part of
dynamic security assessment of power system which
evolves the evolution of the ability of power system
to remain in equilibrium when subjected to
urbances. The system response to such
disturbances involves large variation of rotor angles,
power flows bus voltages and other system variables.
Transient stability is a condition that characterizes the
dynamics of power system subjected to a fault, the
nitial state proceeding the fault is balanced one. A
system is said to posses transient stability if after the
fault it is capable of maintaining synchronous
operation and returning to initial state or close to it.
The transient stability is a function of both operating
condition and the disturbance. This makes the
transient stability analysis complicated as the non
linear ties of the system cannot be ignored.
In stability assessment the critical clearing time
(CCT) is a very important parameter in order
maintain the stability of power system. The CCT is
maximum time duration that a fault may occur in
power system without loss of stability. Fault clearing
time is set randomly. If the fault clearing time (FCT)
is more than CCT then the relative rotor angles will
go out of step and the system will lose stability.
Methods normally employed to find out the TSA are
by using time domain simulations, direct and
artificial intelligence methods. Time domain
simulation method is implemented by solving the
state space differential methods. Simulink is an
interactive environment for modeling and simulating
a wide variety of dynamic systems. A system is built
easily using blocks and results can be displayed
quickly. Simulink is used for studying the effects of
non-linearity of the system and thus is an ideal
research tool. Use of Simulink is growing rapidly for
research work in the area of power system and also in
the other areas. In this paper multi machine nine bus
system is modeled in Matlab/simulink and transient
stability analysis is done with the fault located in a
bus.
System Modeling
The system used is IEEE 9 bus system with three
generators, six transmission lines, three load buses
and three transformers is shown in Fig 1. The base
MVA is 100 and the system frequency is 60 Hz. The
system data is given in Appendix 1.The fault is
occurring near bus 7 and fault is cleared by opening
line 5-7.Fault clearing time is set randomly. The
complete system is modeled in Simulink with the
mathematical equations. All the buses except the
machine buses are eliminated and multi
representations of the internal nodes of the generators
are obtained. Using the self and transfer admittance
ISSN: 2277-9655
Sciences & Research Technology[418-422]
ENCES & RESEARCH
Transient Stability Analysis of Power System Using Matlab
machine system with the help of Simulink based model.
of a power system is based on the generator relative rotor angles obtained from time domain
simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient
phase fault at a bus with different Fault Clearing Time (FCT) and the
results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other
go out of step and the system will lose stability.
Methods normally employed to find out the TSA are
by using time domain simulations, direct and
methods. Time domain
simulation method is implemented by solving the
pace differential methods. Simulink is an
interactive environment for modeling and simulating
a wide variety of dynamic systems. A system is built
easily using blocks and results can be displayed
quickly. Simulink is used for studying the effects of
inearity of the system and thus is an ideal
research tool. Use of Simulink is growing rapidly for
research work in the area of power system and also in
the other areas. In this paper multi machine nine bus
system is modeled in Matlab/simulink and transient
stability analysis is done with the fault located in a
The system used is IEEE 9 bus system with three
generators, six transmission lines, three load buses
and three transformers is shown in Fig 1. The base
MVA is 100 and the system frequency is 60 Hz. The
system data is given in Appendix 1.The fault is
ing near bus 7 and fault is cleared by opening
7.Fault clearing time is set randomly. The
complete system is modeled in Simulink with the
mathematical equations. All the buses except the
machine buses are eliminated and multi-port
the internal nodes of the generators
are obtained. Using the self and transfer admittance
[Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422]
parameters of reduced electrical network electric
power output of the generators can be obtained. The
program to obtain the reduced admittance matrix is
given in Appendix.
The admittance matrix Ybus,mod is augmented by
including the transient reactance of the generators.
Let Ybus,mod after inclusion of load impedances be
partitioned as
Ybus,mod =
1 2
3 4
Y Y
Y Y
 
 
 
(1)
Where sub matrix Y1 is of order m×m and
corresponds to the buses where generators are
connected and Y2 , Y3 and Y4 are the other sub
matrices.
Then the augmented bus admittance matrix Ybus,aug
with ground as reference would be represented as
, 1 2
3 4
0
0
bus aug
y y
Y y Y y Y
Y Y
− 
 
= − + 
 
 
(2)
The matrix is reduced by applying Kron’s reduction
formula eliminating all buses expect the generator
buses. For symmetrical three phase to ground at bus k
the row and column corresponding to bus k are set to
zero before applying network reduction. In stability
analysis three reduced matrices are required to be
computed pre-fault, during fault and the post fault in
power system.
Fig. 1 WSCC 3-machine 9 bus system
The generator electric power output for each machine
is computed by following equation
2
1
cos( )
n
ei i ii i j ij ij i j
j
P E G E E Y θ δ δ
=
= + − +∑
(3)
Where
The equation of the motion are given by
2
1
2
cos(
n
i i
i i mi i ii i j ij ij i j
R j
Hd
D P E G EE Y
dt
ω
ω θ δ δ
ω
=
 
 + = − + − +
 
  
∑
(5)
And
i
i R
d
d t
δ
ω ω= − (6)
It is noted that prior to the fault (t=0) Pmi0 = Pei0
The subscript 0 is used to indicate the pre transient
conditions.
As the network changes due to fault, the
corresponding values will be changed in the above
equation.
Simulink Models
The complete three generator system shown in Fig.1
has been simulated as single integral model in
Simulink. Fig 2 shows the complete block diagram of
the system for transient stability study. Subsystems 1
is meant to compute the electric power output of each
generator. The model also facilitates the choice of
simulation parameters like start time, stop time,
solver etc.
ij ij ij ij ij
ii ii i ii ii
Y Y G jB
Y Y G jB
θ
θ
= ∠ = +
= ∠ = +
[Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422]
Fig.2 Complete system Model for Transient stability
Analysis
Fig.3 Simulink model for Computation of electric power
output of generator 1
Simulation Results
System Responses are given for different values of
FCT. Fault is created near bus 7 and it is cleared at
different clearing time by opening line 5-7. Fig 4 (a)
and (b) shows the relative angular positions of the
generators taking generator one as reference and
individuals angles of each generator. Fig(c) and (d)
shows the accerlating powers and angular velocities
of each generator for the FCT equal to 0.1sec Fig
shows that the rotors angles are in synchronism with
each other making the system stable when the fault
clearing time is 0.1sec.As the FCT increases the
system will move towards instability as the FCT will
become greater that the CCT. When the FCT in 0.3
sec. the system is unstable.
Fig 5(a)-(d) shows the accerlating powers, Relative
angular positions and angular velocities of the
generators and Fig 5(b) shows as the fault clearing
time is increased the rotor angles of the generators go
out of synchronism and the system is losing stability.
(Fault cleared at 0.1s)
(a) Relative angular positions of angles
(Fault cleared at 0.1s)
(b) Angular positions of individual generators
(Fault cleared at 0.1s)
[Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422]
(c) Generator accelerating Powers
(Fault cleared at 0.1s)
(d) Angular velocities of generators
Fig 4 (a) – (d)
(Fault cleared at 0.3sec)
(a) Accerlating power of generators
(Fault cleared at 0.3sec)
(b) Relative angular positions of generators
(Fault cleared at 0.3 sec)
(c) Angular velocities of individual generators
Fig 5(a)-(c)
Fig 6(a)-(b) shows the relative rotor angles and the
accelerating powers of the generators. Fig 6(a) shows
that the rotor angles synchronism making the system
unstable.
(Fault cleared at 0.5sec)
(a) Relative angles in degree
(Fault cleared at 0.5sec)
(c) Accerlating powers of the generators
Fig.6 (a) - (b)
Conclusion
A complete model to study the transient behavior of
Multi-machine system was developed using
Simulink. It is basically a transfer function and block
diagram representation of system equations. The
system was simulated for different FCT and the
results are highly satisfactory. A Simulink model is
very user friendly and for transient stability analysis
the model facilitates the fast and precise solution of
nonlinear differential equation.
[Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422]
Appendix
n=9;
Y=zeros(n);
n=n-1;
i=1;
k=1;
for ii=1:locs;
add=loc(ii+1)-loc(ii);
for kk=1:add;
J=c(k);
Y(i,i)=Y(i,i)+1/e(k);
if J==0;
disp('branch')
k=k+1;
else
Y(J,J)=Y(J,J) +1/e(k);
Y(i,J)=Y(i,J) -1/e(k);
Y(J,i)=Y(i,J);
k=k+1;
end
end
i=i+1;
end
Y
References
[1] P.Kundur, Power system Stability and
control, EPRI Power Sytem Engineering
Series.
[2] I.J.Nagrath and D.P.Kothari, Power system
Engineering
[3] Louis-A Dessaint et al., ‘Powe system
simulation tool based on Simulink, IEEE
Trans. Industrial Electronica 1999, 1252-
1254
[4] P.M Anderson and A.A.Fouad, Power
System Control and stability 1977
[5] M.Klein ,G.J.Rogers,P Kundur,”A
fundamental Study of Inter –Area
Oscillation in Power Systems,”IEEE
Transsactions on Power System.vol 6, No
3,August 1991
[6] L.Wang ,F Howell ,P.Kundur, C.Y.Ching
and w.Xu, “a tool for small Signal
assessment of Power Systems,” PICA 2110,
Sydney, Australia, May 21-24,2001
[7] M.J.Gibbard,N. Martin, J.J Sanchez-Gasca,
N.Uchida,V Vittal and L.Wang, “Recent
Applications of Linear Analysis
Techniques,” IEEE Trans. On Power
Systems, Vol 16,No 1 February 2002
[8] M.Randhawa,B.Sapkota, V. Vittal,S.Kolluri
and S.Mondal,”Voltage stability assessment
for Large Power Systems,”proc. 2008 IEEE
Power and Energy Society General Meeting.

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  • 1. [Sharma, 1(7): Sep., 2012] http: // www.ijesrt.com (C) International Journal of Engineering IJESRT INTERNATIONAL JOURNA Transient Stability Analysis of Power System Using Matlab *1 YMCA University of 2 DCR University of Science & Technology, Murthal This paper presents transient stability assessment of multi Transient stability of a power system is based on the generator relative rotor angles obtained from time domain simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient stability analysis is done by considering three results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other electromagnetic transient program. Keywords: MATLAB, Simulink, FCT, tra Introduction Modern electric power systems have grown to a large complexity due to interconnections, installation of large generating units and extra high voltage tie etc. Due to increased operations which may cause power system to be highly stressed condition, t need for dynamic stability of power system is arising. Transient stability assessment (TSA) is part of dynamic security assessment of power system which evolves the evolution of the ability of power system to remain in equilibrium when subjected to disturbances. The system response to such disturbances involves large variation of rotor angles, power flows bus voltages and other system variables. Transient stability is a condition that characterizes the dynamics of power system subjected to a fault, the initial state proceeding the fault is balanced one. A system is said to posses transient stability if after the fault it is capable of maintaining synchronous operation and returning to initial state or close to it. The transient stability is a function of condition and the disturbance. This makes the transient stability analysis complicated as the non linear ties of the system cannot be ignored. In stability assessment the critical clearing time (CCT) is a very important parameter in order maintain the stability of power system. The CCT is maximum time duration that a fault may occur in power system without loss of stability. Fault clearing time is set randomly. If the fault clearing time (FCT) is more than CCT then the relative rotor angles ISSN: 2277 International Journal of Engineering Sciences & Research Technology INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY Transient Stability Analysis of Power System Using Matlab P R Sharma*1 , Narender Hooda2 YMCA University of Science and Technology Faridabad, India DCR University of Science & Technology, Murthal prsharma1966@gmail.com Abstract This paper presents transient stability assessment of multi-machine system with the help of Simulink based model. of a power system is based on the generator relative rotor angles obtained from time domain simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient stability analysis is done by considering three phase fault at a bus with different Fault Clearing Time (FCT) and the results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other k, FCT, transient stability. Modern electric power systems have grown to a large complexity due to interconnections, installation of large generating units and extra high voltage tie-lines etc. Due to increased operations which may cause power system to be highly stressed condition, the need for dynamic stability of power system is arising. Transient stability assessment (TSA) is part of dynamic security assessment of power system which evolves the evolution of the ability of power system to remain in equilibrium when subjected to urbances. The system response to such disturbances involves large variation of rotor angles, power flows bus voltages and other system variables. Transient stability is a condition that characterizes the dynamics of power system subjected to a fault, the nitial state proceeding the fault is balanced one. A system is said to posses transient stability if after the fault it is capable of maintaining synchronous operation and returning to initial state or close to it. The transient stability is a function of both operating condition and the disturbance. This makes the transient stability analysis complicated as the non linear ties of the system cannot be ignored. In stability assessment the critical clearing time (CCT) is a very important parameter in order maintain the stability of power system. The CCT is maximum time duration that a fault may occur in power system without loss of stability. Fault clearing time is set randomly. If the fault clearing time (FCT) is more than CCT then the relative rotor angles will go out of step and the system will lose stability. Methods normally employed to find out the TSA are by using time domain simulations, direct and artificial intelligence methods. Time domain simulation method is implemented by solving the state space differential methods. Simulink is an interactive environment for modeling and simulating a wide variety of dynamic systems. A system is built easily using blocks and results can be displayed quickly. Simulink is used for studying the effects of non-linearity of the system and thus is an ideal research tool. Use of Simulink is growing rapidly for research work in the area of power system and also in the other areas. In this paper multi machine nine bus system is modeled in Matlab/simulink and transient stability analysis is done with the fault located in a bus. System Modeling The system used is IEEE 9 bus system with three generators, six transmission lines, three load buses and three transformers is shown in Fig 1. The base MVA is 100 and the system frequency is 60 Hz. The system data is given in Appendix 1.The fault is occurring near bus 7 and fault is cleared by opening line 5-7.Fault clearing time is set randomly. The complete system is modeled in Simulink with the mathematical equations. All the buses except the machine buses are eliminated and multi representations of the internal nodes of the generators are obtained. Using the self and transfer admittance ISSN: 2277-9655 Sciences & Research Technology[418-422] ENCES & RESEARCH Transient Stability Analysis of Power System Using Matlab machine system with the help of Simulink based model. of a power system is based on the generator relative rotor angles obtained from time domain simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient phase fault at a bus with different Fault Clearing Time (FCT) and the results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other go out of step and the system will lose stability. Methods normally employed to find out the TSA are by using time domain simulations, direct and methods. Time domain simulation method is implemented by solving the pace differential methods. Simulink is an interactive environment for modeling and simulating a wide variety of dynamic systems. A system is built easily using blocks and results can be displayed quickly. Simulink is used for studying the effects of inearity of the system and thus is an ideal research tool. Use of Simulink is growing rapidly for research work in the area of power system and also in the other areas. In this paper multi machine nine bus system is modeled in Matlab/simulink and transient stability analysis is done with the fault located in a The system used is IEEE 9 bus system with three generators, six transmission lines, three load buses and three transformers is shown in Fig 1. The base MVA is 100 and the system frequency is 60 Hz. The system data is given in Appendix 1.The fault is ing near bus 7 and fault is cleared by opening 7.Fault clearing time is set randomly. The complete system is modeled in Simulink with the mathematical equations. All the buses except the machine buses are eliminated and multi-port the internal nodes of the generators are obtained. Using the self and transfer admittance
  • 2. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655 http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422] parameters of reduced electrical network electric power output of the generators can be obtained. The program to obtain the reduced admittance matrix is given in Appendix. The admittance matrix Ybus,mod is augmented by including the transient reactance of the generators. Let Ybus,mod after inclusion of load impedances be partitioned as Ybus,mod = 1 2 3 4 Y Y Y Y       (1) Where sub matrix Y1 is of order m×m and corresponds to the buses where generators are connected and Y2 , Y3 and Y4 are the other sub matrices. Then the augmented bus admittance matrix Ybus,aug with ground as reference would be represented as , 1 2 3 4 0 0 bus aug y y Y y Y y Y Y Y −    = − +      (2) The matrix is reduced by applying Kron’s reduction formula eliminating all buses expect the generator buses. For symmetrical three phase to ground at bus k the row and column corresponding to bus k are set to zero before applying network reduction. In stability analysis three reduced matrices are required to be computed pre-fault, during fault and the post fault in power system. Fig. 1 WSCC 3-machine 9 bus system The generator electric power output for each machine is computed by following equation 2 1 cos( ) n ei i ii i j ij ij i j j P E G E E Y θ δ δ = = + − +∑ (3) Where The equation of the motion are given by 2 1 2 cos( n i i i i mi i ii i j ij ij i j R j Hd D P E G EE Y dt ω ω θ δ δ ω =    + = − + − +      ∑ (5) And i i R d d t δ ω ω= − (6) It is noted that prior to the fault (t=0) Pmi0 = Pei0 The subscript 0 is used to indicate the pre transient conditions. As the network changes due to fault, the corresponding values will be changed in the above equation. Simulink Models The complete three generator system shown in Fig.1 has been simulated as single integral model in Simulink. Fig 2 shows the complete block diagram of the system for transient stability study. Subsystems 1 is meant to compute the electric power output of each generator. The model also facilitates the choice of simulation parameters like start time, stop time, solver etc. ij ij ij ij ij ii ii i ii ii Y Y G jB Y Y G jB θ θ = ∠ = + = ∠ = +
  • 3. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655 http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422] Fig.2 Complete system Model for Transient stability Analysis Fig.3 Simulink model for Computation of electric power output of generator 1 Simulation Results System Responses are given for different values of FCT. Fault is created near bus 7 and it is cleared at different clearing time by opening line 5-7. Fig 4 (a) and (b) shows the relative angular positions of the generators taking generator one as reference and individuals angles of each generator. Fig(c) and (d) shows the accerlating powers and angular velocities of each generator for the FCT equal to 0.1sec Fig shows that the rotors angles are in synchronism with each other making the system stable when the fault clearing time is 0.1sec.As the FCT increases the system will move towards instability as the FCT will become greater that the CCT. When the FCT in 0.3 sec. the system is unstable. Fig 5(a)-(d) shows the accerlating powers, Relative angular positions and angular velocities of the generators and Fig 5(b) shows as the fault clearing time is increased the rotor angles of the generators go out of synchronism and the system is losing stability. (Fault cleared at 0.1s) (a) Relative angular positions of angles (Fault cleared at 0.1s) (b) Angular positions of individual generators (Fault cleared at 0.1s)
  • 4. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655 http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422] (c) Generator accelerating Powers (Fault cleared at 0.1s) (d) Angular velocities of generators Fig 4 (a) – (d) (Fault cleared at 0.3sec) (a) Accerlating power of generators (Fault cleared at 0.3sec) (b) Relative angular positions of generators (Fault cleared at 0.3 sec) (c) Angular velocities of individual generators Fig 5(a)-(c) Fig 6(a)-(b) shows the relative rotor angles and the accelerating powers of the generators. Fig 6(a) shows that the rotor angles synchronism making the system unstable. (Fault cleared at 0.5sec) (a) Relative angles in degree (Fault cleared at 0.5sec) (c) Accerlating powers of the generators Fig.6 (a) - (b) Conclusion A complete model to study the transient behavior of Multi-machine system was developed using Simulink. It is basically a transfer function and block diagram representation of system equations. The system was simulated for different FCT and the results are highly satisfactory. A Simulink model is very user friendly and for transient stability analysis the model facilitates the fast and precise solution of nonlinear differential equation.
  • 5. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655 http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422] Appendix n=9; Y=zeros(n); n=n-1; i=1; k=1; for ii=1:locs; add=loc(ii+1)-loc(ii); for kk=1:add; J=c(k); Y(i,i)=Y(i,i)+1/e(k); if J==0; disp('branch') k=k+1; else Y(J,J)=Y(J,J) +1/e(k); Y(i,J)=Y(i,J) -1/e(k); Y(J,i)=Y(i,J); k=k+1; end end i=i+1; end Y References [1] P.Kundur, Power system Stability and control, EPRI Power Sytem Engineering Series. [2] I.J.Nagrath and D.P.Kothari, Power system Engineering [3] Louis-A Dessaint et al., ‘Powe system simulation tool based on Simulink, IEEE Trans. Industrial Electronica 1999, 1252- 1254 [4] P.M Anderson and A.A.Fouad, Power System Control and stability 1977 [5] M.Klein ,G.J.Rogers,P Kundur,”A fundamental Study of Inter –Area Oscillation in Power Systems,”IEEE Transsactions on Power System.vol 6, No 3,August 1991 [6] L.Wang ,F Howell ,P.Kundur, C.Y.Ching and w.Xu, “a tool for small Signal assessment of Power Systems,” PICA 2110, Sydney, Australia, May 21-24,2001 [7] M.J.Gibbard,N. Martin, J.J Sanchez-Gasca, N.Uchida,V Vittal and L.Wang, “Recent Applications of Linear Analysis Techniques,” IEEE Trans. On Power Systems, Vol 16,No 1 February 2002 [8] M.Randhawa,B.Sapkota, V. Vittal,S.Kolluri and S.Mondal,”Voltage stability assessment for Large Power Systems,”proc. 2008 IEEE Power and Energy Society General Meeting.