dynamic var planning
TRANSCRIPT
-
7/30/2019 Dynamic VAR Planning
1/31
DYNAMIC VAR PLANNING IN A LARGE POWERSYSTEM USING TRAJECTORY SENSITIVITIES
1September 5, 2009
by
Bishnu Sapkota
Advisor : Vijay Vittal
Arizona State University
-
7/30/2019 Dynamic VAR Planning
2/31
Outline
Background
Objective
Load modeling for voltage stability studies
Corrective measures for voltage stability
Dynamic VAr Planning
Study results
Conclusions
2
-
7/30/2019 Dynamic VAR Planning
3/31
Background
Power system stability- The ability
of an electric power system,
operating at a given initial condition,to regain a state of operating
equilibrium after being subjected to
a physical disturbance, with most of
the system variables bounded, sothat practically the entire system
remains intact.
Voltage stability - ability of a power
system to maintain steady voltagesat all the buses in the system afterdisturbance.
3
Fig.1 Classification of power system stability
-
7/30/2019 Dynamic VAR Planning
4/31
Background Based on actual incidents, short term voltage stability has been an
increasing concern in power industry
The short term voltage stability problem may arise in two forms. Slow voltage recovery
Fast collapse
Several events that have occurred and recent industry work mainly
deal with slow voltage recovery following short circuits with stalling
and slow tripping of residential air conditioner compressor motors
However, the fast voltage collapse has not been addressed in the
literature
VAr planning using static criteria are well established.
The suitability of dynamic reactive power source is another subject
which has drawn significant attention regarding the fast voltage
collapse4
-
7/30/2019 Dynamic VAR Planning
5/31
Objectives of the study
Fast voltage collapse problem associated with the fault on the bulkpower network in presence of significant induction motor loads
Dynamic VAr planning methodology based on trajectory sensitivity
analysis
Comparison of efficacy of SVC and STATCOM to prevent fastvoltage collapse
5
-
7/30/2019 Dynamic VAR Planning
6/31
Voltage stability causes and analysis
Causes of voltage instability Increase in loading
Generators, synchronous condensers, or SVCs reaching reactivepower limits
Tap-changing transformer action
Load recovery dynamics Tripping of heavily loaded lines, generators
Methods of voltage stability analysis Static analysis methods
Dynamic analysis methods
6
-
7/30/2019 Dynamic VAR Planning
7/31
Load characteristics
The accuracy of analytical results depends on proper modeling of
power system components, devices, and controls
Loads are most difficult to model
Complex in behavior varying with time and location
Statistical in nature, and consists of a large number of continuous and discrete
controls and protection systems
Dynamics of loads, especially, induction motors at low terminal
voltage should be properly modeled
7
-
7/30/2019 Dynamic VAR Planning
8/31
Induction motor characteristics
Impact of fault on transmission
grid
Depressed voltages at distributionfeeders and motor terminals.
Reduction of electrical torque by the
square of the voltage resulting in
slow down of motors.
The slow down depends on the
mechanical torque characteristics
and motor inertias.
With fault clearing
8
Partial voltage recovery Slowed down motors draw high reactive currents, depressing voltage magnitudes
Motor will reaccelerate to normal speed if, electrical torque>mechanical torque
Else, the motors will rundown, stall, and trip
The problem is severe in summer time period with large proportion of air conditionermotors
Speed per unit
Electric
torque
1.0
Current
Mechanical
torque
1.0
5.0
Torqu
eor
currentperuni
t
Fig. 2 Induction motor characteristics
-
7/30/2019 Dynamic VAR Planning
9/31
Air conditioner motor characteristics
Characteristics
Main portion (80-87%) consumed by air compressor motor
Electromagnetic contactor drop out between (43-56%) of the nominal
voltage and reclose above drop out voltage
Stalling at (50-73%) of the nominal voltage
Thermal overload protection act if motors stall for 5-20 seconds The operation time of TOL (Thermal Over-load) protection relay is
inversely proportional to the applied voltage at the terminal
Air conditioners should be modeled to analyze the short term
voltage stability problem Quite important for utilities in the Western interconnection
9
-
7/30/2019 Dynamic VAR Planning
10/31
Load modeling
Old models
Loads are represented as lumped
load at the distribution feeder The diversity in composition and
dynamic behavior of various
electrical loads is not modeled
WECC interim model 20% of the load as generic
induction motor load
80% constant current P and
constant impedance Q
Composite load model
Representation of distribution
system equivalent
Parameters of various load
components
Substation
Capacitor
Transmission Bus
Bus 1
Bus 2
Distribution Bus
OLTC
LM SM DL EL IL
Distribution FeederBus 3
Distribution
Capacitor
10Fig.3 Composite load model structure
-
7/30/2019 Dynamic VAR Planning
11/31
Corrective measure- Static VAr
compensator (SVC) Variable reactive power source
Can generate as well as
absorb reactive power Maximum and minimum limits
on reactive power output
depends on limiting values of
capacitive and inductivesusceptances.
Fixed capacitor with thyristor
controlled reactor model is
used.
Droop characteristics of 2%
over the control range is used.
11
CFixedCapacitor
Transformer
TCR
XC
XL
Vref
VXSL
I
Fig. 5 V-I Characteristics of SVC
Fig. 4 Schematic diagram of an SVC
V
I
-
7/30/2019 Dynamic VAR Planning
12/31
Corrective measure- Static compensator
(STATCOM)
Voltage source converter device
Alternating voltage sourcebehind a coupling reactance
Can be operated at its full output
current even at very low voltages
Depending upon manufacturer's
design, STATCOMs may have
increased transient rating both in
inductive as well as capacitive
mode of operation.
PI controller to regulate the
voltage and a droop
characteristics of 2% over thecontrol range is used. 12
VT
ILmax ILTICmaxIICT
InductiveCapacitive
Transformer
DC-AC switching
converter
I
X
System bus
Cs
Vdc
E
Fig. 6 Schematic diagram of STATCOM
Fig. 7 V-I Characteristics of STATCOM
VT
-
7/30/2019 Dynamic VAR Planning
13/31
Trajectory sensitivity Why?
The influence of parameters on the non-linear, non-smooth
behavior exhibited by a disturbed power system is difficult toexplore
Normal linearization techniques involving linearization of system
model about an operating point are not very useful
What?
Based on linearizing the system around a trajectory rather than
around an equilibrium point
Change in trajectory due to small change in parameters isobserved
13
-
7/30/2019 Dynamic VAR Planning
14/31
Dynamic VAr planning
The analytical description of power system is given by
The flows of x and y can be defined as,
Sensitivities of the system flow to the parameters are,
14
),,( Oyxfx
),,(0 Oyxg
),,()( OI txtxox
),,()( OI txtyoy
OOO
O''
w
w' )()()( txtxtx
OO
O
O''
w
w' )(
)()( ty
tyty
(5)
(6)
(7)
(8)
(9)
(10)
-
7/30/2019 Dynamic VAR Planning
15/31
Dynamic VAr planning
A simple numerical procedure is used to evaluate these
sensitivities
These sensitivities are calculated along the trajectory, and arecalled trajectory sensitivities
Sensitivities of the change in bus voltage magnitudes to thereactive power injection at a given bus are calculated, where Vis one of the output variable represented by y, and reactivepower Q is one of the parameters represented by O
15
O
OIOOI
OO
'
'|
w
w
),,(),,( txtxxx oxox
OOIOOI
OO
' '|ww),,(),,( txtxyy oyoy
(11)
(12)
-
7/30/2019 Dynamic VAR Planning
16/31
Dynamic VAr planning
The trajectory sensitivity index (TSI) proposed in this work isdefined as,
Wk is the weighting factor to designate the importance of the
time instant k and Wbi is the weighting factor to represent theimportance of bus ion the sensitivity calculation
If the voltage collapse is local in nature, then there will only be asmaller number of buses with non-zero W
bi. The selection of
the weights Wk
depends upon the type of voltage instabilitybased on time frame of interest
The bus with the highest trajectory sensitivity index is selectedas a candidate bus for dynamic VAr support
16
w
w
k
k
tt
n
i
j
i
bi
N
kkj
Q
VWWTSI
11(13)
-
7/30/2019 Dynamic VAR Planning
17/31
17
System description and tools
Component Number
Buses 14585Plants 1938
Generators 1842
Shunts 1179
Lines 11655
Transformers 4384
Phase Shifters 59
Converters 8
Component Number
Buses 581Plants 37
Generators 32
Shunts 39
Lines 614
Transformers 74
Phase Shifters 0
Converters 0
System components Study subsystem components
Number of 12.5 kV feeders in the subsystem = 375
Following tools have been used in this study
Dynamic security analysis tools PSAT,VSAT, and TSAT PSLF, Matlab
-
7/30/2019 Dynamic VAR Planning
18/31
Load modeling
Composite load model consisting of
static and motor loads is used.
The percentage of motor load (bothmegawatts and MVAr) at each
distribution substation is about 72%
of the total load at that substation.
The induction motors are classifiedas,
Small motors - Low inertia motors
Large motors - High inertia motors
Trip motors - Low inertia motors with theoption of tripping under low voltage
condition
18
Fig. 8 Detailed load modeling sample at
representative bus
Static
LoadLM STSM
69 kV Bus
DistributionTransformer
12.5 kV Bus
The percentages of small, large, and trip motors at each bus are
63, 10, and 27 respectively.
-
7/30/2019 Dynamic VAR Planning
19/31
Study case
Fault on a 500 kV transmission line and the subsequent double line
outage as follows, which causes voltage collapse in many zones.
line connecting 500 kV Bus 9 and Bus 23line connecting 500 kV Bus 1 and Bus 4
19
Fig. 9 Double line outage considered most critical
The lines are the major transmission corridors for importing power to the
subsystem
-
7/30/2019 Dynamic VAR Planning
20/31
Bus voltages without motor dynamics
The contingency for the
analysis is defined as follows,
A fault is applied at an artificialbus 90000 which is created at
40% of the 500 kV line 1-4
The fault is cleared after 5
cycles by removing the twolines
No serious voltage problems
are observed when motor
dynamics are not included The bus voltages restore
almost to the pre-fault values
20
Time (sec)
Busvoltagemagnitudes(pu)
Fig. 10 Bus voltages without motor dynamics
-
7/30/2019 Dynamic VAR Planning
21/31
Bus voltages with motor dynamics
The trip motor (27% of the
motor load at each bus)parameter Vt is chosen as 0.55
pu and Tv is chosen as 10
milliseconds
Low voltage magnitudes areobserved at most of the buses
with few bus voltages dropping
to as low as 40%
Although the voltage drop hasbeen observed at 230 kV and
500 kV level also, the drop is
more pronounced at the 69 kV
and 12.5 kV buses21
Fig. 11 Bus voltages without motor dynamics and
without corrective action
Busvoltagem
agnitude(pu)
Time (sec)
0.00 2.00 4.00 6.00 8.00 10.000.00
0.22
0.44
0.66
0.88
1.10
BUS108 230 kVBUS18 500 kV
BUS333 69 kV BUS735 12.5 kV
-
7/30/2019 Dynamic VAR Planning
22/31
Motor voltage and reactive power demand
It is observed that the reactive
power demand of the induction
motor increases during the
post contingency period
This large increase in reactive
power demand further reduces
the voltage magnitudes in thesystem, thereby resulting in
voltage collapse
At such voltage levels, even
the SM motor would stall,overload, and trip
The typical tripping time for
motors stalled at 50% voltage
is 15-20 seconds
Fig. 12 Reactive power demand of induction motorsat a representative bus
Fig. 13 Terminal voltage magnitude of induction moto
at representative bus
Inductionmotortermin
alvoltage(pu)
Time (sec)0.00 2.00 4.00 6.00 8.00 10.000.00
0.22
0.44
0.66
0.88
1.10
Time (sec)0.00 2.00 4.00 6.00 8.00 10.00
0.00
3.00
6.00
9.00
12.00
15.00
ST MOTOR
SM MOTOR
Inductionmotorreac
tivepowerdemand(MVAR)
-
7/30/2019 Dynamic VAR Planning
23/31
Generator response
The outputs of the generators
especially in zone 126 are
exceeding their maximum VAr
capacity, thereby stressing the
generating units
This shows that there is a
deficiency of dynamic reactive
power in the zone. If appropriate
actions are not taken, the zone
could be subjected to severe
voltage instability
23
Fig. 14 Generator reactive power output
Generatorreact
ivepower(MVAR)
Time (sec)
0.00 2.00 4.00 6.00 8.00 10.00-70
12
94
176
258
340
GEN580
GE581
GEN579
-
7/30/2019 Dynamic VAR Planning
24/31
Modal analysis
Modal Analysis is performed in
two ways
Case A: By increasing the power
transfer with the power factor same as inthe base case
The zones associated with the critical
modes do not represent the zones with
very low post fault voltage magnitudes in
time domain analysis
Case B: By increasing the powertransfer at low power factor (0.3)
Critical zones - 126,127,128, 129
Modal analysis at point ofcollapse may not accurately
pinpoint the buses or zones that
require reactive power support
when fast voltage collapse occurs24
S. No. Modes Participating
zones
1 0.014904+j0 119/124/125
2 0.048814+j0 1657
3 0.057995+j0 1843
4 0.063687+j0 1657
5 0.069565+j0 1843/1844
Case A: Critical modes at nose point
S. No. Bus No. Zone No. Bus Participation
Factor
1 397 128 0.53294
2 391 128 0.52416
3 378 126 0.507754 591 129 0.50457
5 396 128 0.50157
6 595 126 0.4993
7 379 126 0.49719
8 389 128 0.49445
9 333 126 0.49431
10 380 128 0.49396
Case B: Bus participation factors
-
7/30/2019 Dynamic VAR Planning
25/31
Trajectory sensitivity and location of
dynamic VAr W
bihas been chosen to be 1 for
all the buses, since the voltage
collapse has affected all the busvoltage magnitudes
Wk
=1 for time instants t=0.1, 0.2,
0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0
seconds after the fault, and zerofor all other instants
It is observed that the 230 kV
buses 108, 102, 107, and 96 have
higher sensitivities
These buses are selected primarily
as the locations for reactive power
sources
25
Fig. 15 TSI values
T j t iti it d l ti f
-
7/30/2019 Dynamic VAR Planning
26/31
Trajectory sensitivity and location of
dynamic VAr
STATCOMs with a rating of 350 MVAr
each are placed at buses 108, 102,
107, and 96 The 230 kV voltages recover to nearly
1 pu in about 4 seconds
However, the voltages at the 69 kV
buses and the distribution feeders(12.5 kV) take much longer time (about
7 seconds) to recover to pre-fault
values
Since the voltage collapse occurs at
the low voltage level (69 kV, and 12.5
kV), it appears that the shunt
compensation must be provided at 69
kV buses for effective voltage recovery
Fig. 16 230 kV bus voltages in the system with 900 MVArSTATCOMS at three buses
Fig. 17 Bus voltages (12.5-69 kV) in the system with
900 MVAr STATCOMS at three 230 kV buses
Busvolta
gemagnitude(pu)
Time (sec)
0.00 2.00 4.00 6.00 8.00 10.000.00
0.24
0.48
0.72
0.96
1.20
Busvoltagemagn
itude(pu)
Time (sec)0.00 2.00 4.00 6.00 8.00 10.00
0.00
0.24
0.48
0.72
0.96
1.20
BUS591 69 kV
BUS817 12.5 kV
-
7/30/2019 Dynamic VAR Planning
27/31
Trajectory sensitivity and location of
dynamic VAr
The 69 kV buses that areconnected to the 230 kV buses
with high sensitivities are
chosen as locations for
STATCOMs The STATCOMs are removed
from the 230 kV buses and then
connected to 69 kV buses
The maximum limit of the valueof shunt compensation at a 69
kV bus is chosen to be 72 MVAr
based on the physical
constraints at the substation27
Buses selected as STATCOM location
S. NO. BUS NO. SIZE (MVAR)
1 17 72
2 102 72
3 170 72
4 322 72
5 328 44
6 342 72
7 343 728 344 72
9 357 72
10 373 72
11 375 72
12 381 72
13 477 72
14 535 72
15 550 72
16 551 72
17 554 72
18 584 72
19 591 72
TOTAL 1340 (MVAR)
Trajectory sensitivity and location of
-
7/30/2019 Dynamic VAR Planning
28/31
Trajectory sensitivity and location of
dynamic VAr
The STATCOMs act quickly to
increase their injected current and
thus provide the required reactive
power
Voltages at all levels are restored to
respective pre-fault values
The STATCOMs are required toprovide the reactive power to their
full capacity only for a short period
of time right after fault
Power electronic based shuntcompensation with high short term
ratings may be an effective option to
prevent voltage collapse caused by
presence of significant inductionmotor loads
Fig. 18 Bus voltages after placement of
STATCOMs at 69 kV buses
Fig. 19 STATCOM output for the fault under study
Busvoltagemagnitude(pu)
Time (sec)
10.000.00 2.00 4.00 6.00 8.000.00
0.24
0.48
0.72
0.96
1.20
BUS18 500 kV
BUS108 230 kV
BUS333 69 kV
BUS735 12.5 kV
OutputcurrentofSTA
TCOM(pu)
Time (sec)
0.00 2.00 4.00 6.00 8.00 10.00-1.00
-0.78
-0.56
-0.34
-0.12
0.10
-
7/30/2019 Dynamic VAR Planning
29/31
Comparison of SVC and STATCOM
The bus voltage recovers to 1 pu in
about 2 seconds when STATCOMs
are used It takes about 4 seconds for the
voltage to recover to 1 pu when SVCs
are used
The maximum VAr output of the SVCdecreases with the square of the AC
system voltage, while that of
STATCOM decreases linearly with
the AC system voltage The STATCOM is therefore found
more effective during large system
disturbances
29
Fig. 20 Terminal voltage of Induction motor
at a bus 735
Inductionmotorterminalvoltage(pu)
Time (sec)
10.000.00 2.00 6.00 8.00
0.24
0.48
8.000.00 2.00 4.00 6.00 8.000.00
0.72
0.96
1.20
4.00 6.000.00
0.72
0.96
1.20
Without VAr
support
With SVC
With STATCOM
-
7/30/2019 Dynamic VAR Planning
30/31
Conclusions
Voltage collapse for the case under study is caused by short-term
voltage instability initiated by a high reactive power demand of the
induction motors during the disturbance period
A fault on a high voltage transmission line might cause severevoltage dips at the distribution feeders, even though the voltage dips
at high voltage level is not that severe
Trajectory sensitivity analysis can be very useful in determining the
location of dynamic VAr sources
Power electronic based shunt compensation with high short term
ratings may be an effective and attractive option
STATCOMs provide a better option to improve short term voltageinstability problems than SVCs
Smaller modules of STATCOMs at 69 kV buses are found to be
more effective than larger modules at 230 kV buses in order to
obtain faster voltage recovery30
-
7/30/2019 Dynamic VAR Planning
31/31
31