transient stability analysis using mipower
DESCRIPTION
transient stability using swing curveTRANSCRIPT
Transient Stability Analysis of 5-Bus system Prajapati Bhavikkumar
Master of Engineering in Electrical, L. D .College of Engineering
Gujarat Technological University, Ahmedabad, Gujarat, India.
Abstract— After major recent blackouts caused by power
system instability lie importance of this phenomenon. Transient
stability has been the dominant stability problem on most system
and has been the focus of much of industry‘s attention
concerning system stability assessment is concern with behaviour
of synchronous machines after they have been experience a large
disturbance in system. This paper present simulation case study
of 5-bus, 3-machines system a 5o Hz & 220kv transmission line
has two generators and an infinite bus as shown figure 2. Three
phase fault occurs as shown figure 2. Finding the swing curve for
each generator during the fault period. With help of MiPower
software using time domain method.
Keywords— Transient stability analysis, MiPower software,
Time domain method, Swing curve, Load flow analysis
I. INTRODUCTION
Successful operation of a power system depends on the
engineer’s ability to provide reliable and uninterrupted service
to the loads. The first requirement of reliable service is to keep
the synchronous generator running in parallel and with
adequate capacity to meet the load demand. Synchronous
machine do not fall out of step under normal conditions. if a
machine tends to speed up or slow down synchronizing forces
tend to keep it in step. The second requirement of reliable
electrical service is to maintain the integrity of power
network. Interruption in this network may hinder the flow of
power to the load. We may look at any of these as a change
from one equilibrium state to another. These problems must
be studied by the power system engineer and fall under
heading power system transient stability.[1]
Transient stability is part of rotor angle stability. If
the magnitude of disturbance is very large dynamics of
rotating machine affected more hence dynamic equation of
rotating machine including that automatic voltage regulator,
exciter, prime mover and generator will appear in
mathematical calculation of stability analysis. Example of
large disturbance like sudden change in load, loss of generator
unit, change in transmission line parameter, switching and
various faults etc.[2]
II. METHODS OF ANALYSIS
A variety of transient stability assessment methods have been
classified into main three groups [3]:
A) Heuristic
B) Training based System
C) Digital Simulation
Fig.1 Method of Transient stability Analysis
A. Heuristic Method: Heuristic or expert methods use the
concept of artificial intelligence. In this approach, engineering
knowledge is encoded into the sets of rules in a program. The
program itself then forms two cores: the database and decision
rules. a large number offline studies are required for a range
of power system operating points and disturbances to form
the required database.[4]
B. Training Based System: Artificial neural networks and
pattern recognition have been also used for transient stability
analysis and classify as training system models. In these
methods, the training sets are formed base on offline studies to
form the pattern vector. Then the classifier needed to be
designed for subsequent use in making decision online.
Artificial neural networks have advantages over the traditional
classifier as, after training ANN’s have capability of
generalizing. [5]
C. Digital Simulation Method: Artificial neural networks
and pattern recognition have been also used for transient
stability analysis and classify as training system models. In
these methods, the training sets are formed base on offline
studies to form the pattern vector. Then the classifier needed
to be designed for subsequent use in making decision online.
Artificial neural networks have advantages over the traditional
classifier as, after training ANN’s have capability of
generalizing.
1) Time Domain Solution Method:
In this method the initial system state is obtained
from the pre-fault system. This is starting point used for
integration of fault on dynamic equation. After the fault is
cleared, the post fault dynamic equations are numerically
integrated. The machine angle may be plotted versus time and
analysed. A maximum relative rotor angles threshold is
nominated in practical for forming the transient stability
criteria. For power system to be transiently stable, the
maximum relative rotor angles of all generators are to be less
than the transient stability threshold. If this angles are
bounded, the system is stable otherwise unstable.
2) Direct Method:
As time domain simulation methods were
computationally expensive, some efforts were taken to assess
the power systems transient stability directly, and without
solving DAEs of power system. The first direct method which
was used in power system transient stability was the equal
area criteria (EAC) for single machine infinite bus(SMIB).the
method is able to find the critical clearing time without the
solving the system DAEs.
Lynapunav’s method was adopted in the power
systems multi machine transient stability for first time[6] .the
application of Lynapunav’s method to power system is called
transient energy function(TEF).these methods compare the
energy of the system when the fault is cleared to the critical
energy value of the system. if the system energy at fault
clearing time, is less the critical energy value, the system will
be stable following disturbance however there are number of
disadvantages in this methods. In practice it’s require to
simplify power system model deriving the energy function. It
is difficult, if not impossible to include the detailed dynamic
model of generators load and FACTS devices in derivation of
the transient energy function. Furthermore, it is not straight
forward to determine threshold value of the energy function
for defining stability margin. [7]- [9]
III. FACTORS INFLUENCING TRANSIENT STABILITY
Many factors affect the transient stability of a generator
in a practical power system. The following factors can be
identified [10]:
The generator output during the fault. This is a
function of faults location and type of fault.
The Post-disturbance system reactance as seen from
the generator. The weaker the post-disturbance
system, the lower the Pmax will be.
The duration of the fault-clearing time. The longer
the fault is applied, the longer the rotor will be
accelerated and the more kinetic energy will be
gained. The more energy that is gained during
acceleration, the more difficult it is to dissipate it
during deceleration
The inertia of the generator. The higher the inertia,
the slower the rate of change of angle and the lesser
the kinetic energy gained during the fault.
The generator internal voltage (determined by
excitation system) and infinite bus voltage (system
voltage). The lower these voltages, the lower the Pmax
will be.
The generator loading before the disturbance. The
higher the loading, the closer the unit will be to Pmax,
which means that during acceleration, it is more
likely to become unstable.
The generator internal reactance. The lower the
reactance, the higher the peak power and the lower
the initial rotor angle.
IV. 5-BUS SYSTEM CASE STUDY
Take a 5-bus system consisting i.e. one slack bus or
swing bus, two generator buses, two load buses. a50Hz, 220kv
transmission line has two generators and an infinite bus as
Shawn in figure2.
A 500 MVA, 50Hz Generator-1 at bus 2 deliver
325MW over a double circuit line to an infinite bus. This
Generator has moment of Inertia 12MJ/MVA, transient
reactance X’d is 0.067p.u. And another 300MVA, 50Hz
Generator-2 at bus 3 deliver 210MW over a double circuit line
to an infinite bus. This Generator has moment of Inertia 9
MJ/MVA, transient reactance X’d is 0.10 p.u., |E’|=1.1 p.u
and infinite Bus voltage V=1.0L0O.on base of 100MVA.
Fig.2 a 5- Bus system single line diagram
Plotting the swing curves for the Generator machines at
buses 2 and 3 for the fault which is cleared by opening of
circuit breaker at 0.275 sec.
V. SIMULATION
A. Load flow Analysis
First in transient stability analysis a load flow study is
performed to obtain a set of feasible steady state system
conditions to be used as initial conditions. In Mipower
software simulation system bus voltage magnitude and angle
(unknown variable) by solving the non linear algebraic
network equation using fast decoupled method so that
specified load are supplied. As solution progresses, if voltage
at load bus find out of limits then corresponding adjustment
are made to bring their voltage back in range. at end of
solution process either solution has converged or the number
of allowed iteration has been exceeded a solved load flow case
is require to set the operating condition used to initialized for
transient stability analysis. Fig.4 shows Load flow plot in
MiPower software which will indicate Active power, Reactive
power flow in transmission line and Bus voltages.
Load flow Result:
TABLE I
BUS VOLTAGE AND POWER
Bus
No.
Volt
Mag.
Angle MW
Gen.
Mvar
Gen.
MW
Load
Mvar
Load
Bus-1 1.00 0.00 -378.94 15.85 0.00 0.00
Bus-2 1.03 8.22 -325.00 63.73 0.00 0.00
Bus-3 l.02 7.14 210.00 24.66 0.00 0.00
Bus-4 1.01 4.33 0.0000 0.000 100 44.0
Bus-5 1.00 2.49 0.0000 0.000 50.0 16.0
From Table- II result we can say that all buses voltage
magnitude are within limit not violates
A. Transient Stability Analysis
5-bus system analysis using Mipower software in that
simulation, at 0 sec. a three phase to ground fault was applied
at bus-4 and fault cleared at 0.275sec. Simultaneously applied
change in transmission line parameter of line-1 connected
between bus-4 and bus-5 at 0.275 sec. end time up to 1 sec.
With simulation time of frame given from 0 sec. to 1 sec. by
the time step is 0.025 sec. As fig.4 shows Transient stability
simulation time frame and Disturbances applied in MiPower
Software and Table-IIIIV shows Active power transfer with
reference to rotor angle Delta (degree).
Transient Stability Result:
TABLE VVI MACHINE ANGLE AND POWER
Time Delta(Degree) P Gen(MW)
Bus 2 Bus3 Bus2 Bus3
0.000 19.4 18.3 325 210
0.025 19.7 18.3 17.4 183
0.050 21.2 18.5 17.7 185
0.075 24.1 18.8 18.3 189
0.100 28.4 19.3 19 194
0.125 34.1 19.3 19.8 200
0.150 41.3 20.4 20.7 207
0.175 49.9 21.1 21.5 215
0.200 60.0 21.7 22.4 222
0.225 71.4 22.2 23.1 230
0.250 84.3 22.6 23.7 236
0.275 98.6 51.7 24.1 242
0.300 113 22.8 823 284
0.325 62.8 6.94 719 284
0.350 138 21.6 599 280
0.375 149 20.3 472 271
0.400 158 18.6 390 259
0.425 167 16.6 765 246
0.450 175 14.4 630 227
0.475 181 12.1 269 207
0.500 187 9.85 -20.7 187
0.525 195 7.71 -240 171
0.550 205 5.81 -227 158
0.575 218 4.23 -507 147
0.600 235 3.04 -660 142
0.625 257 2.25 -755 143
0.650 283 1.89 -704 147
0.675 314 1.91 -433 155
0.700 348 2.27 37.3 166
0.725 384 2.9 534 180
0.750 419 3.71 844 196
0.775 451 4.61 870 214
0.800 482 5.48 652 233
0.825 511 6.21 683 253
0.850 538 6.67 6.9 267
0.875 567 6.78 -497 280
0.900 600 6.45 -736 289
0.925 637 5.64 -682 292
0.950 679 4.33 -251 287
0.975 723 2.54 382 276
1.000 767 0.35 830 261
Fig.3 Load flow Plot of 5-Bus System
Fig.4 Transient Stability Analysis Simulation Time Frame & Disturbances applied
B. Graph
allow machine to swing through a larger rotor angle from its
original initial position before it reaches the critical clearing
angle.
Graph is generate automatically in Migraph utility which
Provide swing curve or plot between power angle (degree) &
to time (sec.).here fig.5 show curve for machine-2&3 which
are connected at bus-2&3.
Fig.5 Swing Curve of Machine-2 and Machine-3
VI. CONCLUSIONS
Before applying fault, the system has a
satisfactory and stable initial condition. Voltage magnitude is
fixed at1.0 p.u. and there is no oscillation during this period.
During fault application voltage vector is set to zero (three
phase fault) and machine angle start to increases until fault
cleared time 0.275sec.
After removing fault a angle of machine start
oscillations.Machine-3 does not lose synchronism with rest of
system since angle oscillation does not go over 90 degree.
while Machine-2 lose synchronism or unstable.
In this case study, A Simulation of Transient Stability of
5-Bus system using MiPower software by Time domain
method. My idea was demonstrated by applying two
disturbances on system. one of the applying three phase to
ground fault at bus-4 and another one by changing trans-
mission line parameter (opening of Transmission line).The
methodology is built upon state of increases power transfer
through healthy portion of network during disturbances, which
REFERENCES
[1] Pranamita Basu, Aishwarya Harinandan “Power system Stability analysis using matlab” from NIT Rourkee,p. 15-16
[2] L.P.Singh, “ Advance Power system Analysis & Dynamics”,p.344
[3] M.Moechtar ,T.C.Cheng, and L. Hu “Transient Stability of Power System a survey,” WESCON/95.conference record “Microelectronics
communications Technology producing quality products Mobile &
portable power emerging Technologies” SanFrancisco,Nov 1995,p166-171
[4] Wehnekel L.,Van Custem and Ribbens,“An Artificial intelligence
frame work for online Transient stability assessment power system”,1984,4,(2),p.789-800
[5] S.Krishna and K. R. Padiyar ”Transient stability assessment using
artificial neural networks”proc.IEEE International conference on Industrial Technology 2000,Goa,India,vol.2,p.627-632.
[6] A.H. El-Abiad and K. Nagappan “Transient Stability regions of
multimachine power system”,IEEE Trans.power appar.syst.,1966,PAS-85,(2),169-178.
[7] M.A.Pai “Energy function analysis for power system”, Kluwer
academic publisher Boston 1989 [8] H.D. Chiang, F.F. Wu and P.P. Varaiya “Foundations of direct
methods for power system Transient stability analysis,” IEEE Trans.
circuits and systems,1987,CAS-34,(2),p.160-173 [9] H.D. Chiang, C.C. Chu and G. Cauley “Direct stability analysis of
electric power systems using energy function” IEEE ,Nov 1995,vol
83,(11),p1497-1529.
[10] Leonard L. Grigsby “Power system stability and control,” chapter 8