genopz synchronous machine model - genopz sychronous m… · of machine modeling presently in use...
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genopz
Synchronous Machine Model
John UndrillApril 23, 2020
Model development starts with dynamics and statics of fluxes - this is the general form
Assume Laf = Lak = Lfk etc Leads to gensal and genrou
Assume Lak/Lkk = Laf/Lkf Leads to gentpf and gentpj
genrou / gensal
Stator current affects field current instantaneously
Field flux affects stator flux instantaneously
Assume Laf = Lak = Lfk etc Leads to genrou and related models
gentpf / gentpj
Stator current affects field current AFTER subtransient time lag
Field flux affects stator flux AFTER subtransient time lag
Assume Lak/Lkk = Laf/Lkf Leads to gentpf and gentpj
-0.05 0 0.05 0.1 0.15 0.2
-5
0
5C
urre
nt, p
er u
nit
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rent
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-0.05 0 0.05 0.1 0.15 0.2Time, sec
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rent
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Sudden short circuit test reveals the d-axis characteristic
-0.05 0 0.05 0.1 0.15 0.2
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rent
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rent
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t
Ld
L’d
L’’d
T’’do
T’do
Efd(s) = 0
∆id(s) =∆vq(s)
Ld(s)
Ld(s) = (Ld − Ll)
⎛
⎝
(
1 +(L′
d−Ll)
(Ld−Ll)T ′
dos
)(
1 + (L”d−Ll)(L′
d−Ll)
T”dos)
(1 + T ′
dos)(1 + T”dos)
⎞
⎠+ Ll
G(s) =1 + L”d−Ll)
(L′
d−Ll)T”dos
(1 + sT ′
do)(1 + sT”do)
Current interruption test reveals generator d-axis characteristics
Current interruption test when done at 0pf this test reveals the d-axis characteristic
∆vq(s) = Ld(s)∆id(s)
Thevenin generator model stated in Laplace operator terms
In general v(s) = G(s)Efd − L(s) i(s)
For d-axis vq(s) = G(s)Efd − Ld(s) id(s)
-0.05 0 0.05 0.1 0.15 0.2
-5
0
5
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rent
, per
uni
t
-0.05 0 0.05 0.1 0.15 0.2
-5
0
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Cur
rent
, per
uni
t
-0.05 0 0.05 0.1 0.15 0.2Time, sec
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rent
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uni
t
132 CHAPTER 7. SYNCHRONOUS MACHINES
To develop the two transfer functions we must enter the ’culture’ of synchronous machinetheory.
7.4.4 Sudden short circuit
The unidirectional and alternating currents produced by a synchronous machine when thestator winding is short circuited suddenly from an initial condition of rated voltage and opencircuit take the form illustrated by figures 7.4 and 7.5.
The features of the alternating component of short circuit current behavior seen in figures 7.4and 7.5 can be described by the transfer function model given in the following section. The timeconstants in the numerators of the transfer functions are those of the decay of the waveformenvelopes shown in the bottom of figure 7.4 and in figure 7.5. The paramters Ld, L0
d, L”d are thereciprocals of waveform amplitudes as identified in figure 7.5.
7.4.5 Operational Impedances
When a machine is producing reactive power, but no real power, at its terminals its behavior,as can be observed in various tests including a sudden short circuit test, can be describedcompletely emperically by the transfer function relationship
vq(s) = Yd(s) = G(s)Ef d(s)� Ld(s)Id(s) (7.4)
in which
vq is the amplitude of the positive sequence AC voltage at the terminals the machineYd is the amplitude of the flux wave linking the stator windingEf d is the voltage applied to the field windingId is the amplitude of the positive sequence current in the stator winding
The transfer functions have the form
Ld(s) = (Ld � Ll)
0
@1 + (L0
d�Ll)(Ld�Ll)
T0dos
1 + T0dos
1
A
0
@1 + (L”d�Ll)
(L0d�Ll)
T”dos
1 + T”dos
1
A+ Ll (7.5)
G(s) =✓
11 + sT0
do
◆0
@1 + (L”d�Ll)
(L0d�Ll) T”dos
1 + sT”do
1
A (7.6)
Figure 7.6 shows the form of the transfer function, Ld(jw).
The transfer function expression Ld(s) can be written by direct reference to figures 7.4 and 7.5.This transfer function can also be derived from the basic electromagnetic equations describing
132 CHAPTER 7. SYNCHRONOUS MACHINES
To develop the two transfer functions we must enter the ’culture’ of synchronous machinetheory.
7.4.4 Sudden short circuit
The unidirectional and alternating currents produced by a synchronous machine when thestator winding is short circuited suddenly from an initial condition of rated voltage and opencircuit take the form illustrated by figures 7.4 and 7.5.
The features of the alternating component of short circuit current behavior seen in figures 7.4and 7.5 can be described by the transfer function model given in the following section. The timeconstants in the numerators of the transfer functions are those of the decay of the waveformenvelopes shown in the bottom of figure 7.4 and in figure 7.5. The paramters Ld, L0
d, L”d are thereciprocals of waveform amplitudes as identified in figure 7.5.
7.4.5 Operational Impedances
When a machine is producing reactive power, but no real power, at its terminals its behavior,as can be observed in various tests including a sudden short circuit test, can be describedcompletely emperically by the transfer function relationship
vq(s) = Yd(s) = G(s)Ef d(s)� Ld(s)Id(s) (7.4)
in which
vq is the amplitude of the positive sequence AC voltage at the terminals the machineYd is the amplitude of the flux wave linking the stator windingEf d is the voltage applied to the field windingId is the amplitude of the positive sequence current in the stator winding
The transfer functions have the form
Ld(s) = (Ld � Ll)
0
@1 + (L0
d�Ll)(Ld�Ll)
T0dos
1 + T0dos
1
A
0
@1 + (L”d�Ll)
(L0d�Ll)
T”dos
1 + T”dos
1
A+ Ll (7.5)
G(s) =✓
11 + sT0
do
◆0
@1 + (L”d�Ll)
(L0d�Ll) T”dos
1 + sT”do
1
A (7.6)
Figure 7.6 shows the form of the transfer function, Ld(jw).
The transfer function expression Ld(s) can be written by direct reference to figures 7.4 and 7.5.This transfer function can also be derived from the basic electromagnetic equations describing
168 CHAPTER 7. SYNCHRONOUS MACHINES
7.14 Generator dynamic models for simulations
7.14.1 Initial deveopment of transfer function model
While the synchronous modeling described in section 7.5 is straightforward and can accommodatecomprehensive treatment of magnetic saturation it is not used directly in the large scale dynamicsimulation programs presently in widespread use. Among the reasons for this:
The early development of electric machine modeling preceded the development of digitalcomputers and calculations that are routine today were impractical with the tools thenavailable; approximations and simplifications were essential. Many of the implementationsof machine modeling presently in use owe their form to such simplifications.
The inductance coefficients appearing in equations (7.7)-(7.17) are not readily availableand do not directly describe characteristics of the machine that can be measured in tests.
The long-established tests of synchronous machines yield values of the parameters appearingin the operational impedance, equation (7.5). The modeling used in production simulationassumes that the following parameters are available for the direct and quadrature axes:
L synchronous reactanceL0 transient reactanceL” subtransient reactanceT0 transient open circuit time constantT” subtransient open circuit time constant
Construction of a transfer function starts with breaking the operational impedance (7.5) into itspartial fractions. We use a and b to represent the ratios as follows:
a = (L0 � Ll)/(L � Ll)b = (L” � Ll)/(L0 � Ll)
Then (7.5) can be written as
L(s) =(L � Ll)(1 + saTa)(1 + sbTb)
(1 + sTa)(1 + sTb)+ Ll (7.80)
and the partial fraction expansion proceeds to yield
L(s) = (L � Ll)
✓a +
1 � a1 + sTa
◆✓b +
1 � b1 + sTb
◆+ Ll (7.81)
L(s) = (L � Ll)
✓ab +
(1 � a)b1 + sTa
+a(1 � b)1 + sTb
+(1 � a)(1 � b)
(1 + sTa)(1 + sTb)
◆+ Ll (7.82)
168 CHAPTER 7. SYNCHRONOUS MACHINES
7.14 Generator dynamic models for simulations
7.14.1 Initial deveopment of transfer function model
While the synchronous modeling described in section 7.5 is straightforward and can accommodatecomprehensive treatment of magnetic saturation it is not used directly in the large scale dynamicsimulation programs presently in widespread use. Among the reasons for this:
The early development of electric machine modeling preceded the development of digitalcomputers and calculations that are routine today were impractical with the tools thenavailable; approximations and simplifications were essential. Many of the implementationsof machine modeling presently in use owe their form to such simplifications.
The inductance coefficients appearing in equations (7.7)-(7.17) are not readily availableand do not directly describe characteristics of the machine that can be measured in tests.
The long-established tests of synchronous machines yield values of the parameters appearingin the operational impedance, equation (7.5). The modeling used in production simulationassumes that the following parameters are available for the direct and quadrature axes:
L synchronous reactanceL0 transient reactanceL” subtransient reactanceT0 transient open circuit time constantT” subtransient open circuit time constant
Construction of a transfer function starts with breaking the operational impedance (7.5) into itspartial fractions. We use a and b to represent the ratios as follows:
a = (L0 � Ll)/(L � Ll)b = (L” � Ll)/(L0 � Ll)
Then (7.5) can be written as
L(s) =(L � Ll)(1 + saTa)(1 + sbTb)
(1 + sTa)(1 + sTb)+ Ll (7.80)
and the partial fraction expansion proceeds to yield
L(s) = (L � Ll)
✓a +
1 � a1 + sTa
◆✓b +
1 � b1 + sTb
◆+ Ll (7.81)
L(s) = (L � Ll)
✓ab +
(1 � a)b1 + sTa
+a(1 � b)1 + sTb
+(1 � a)(1 � b)
(1 + sTa)(1 + sTb)
◆+ Ll (7.82)
Ld(s) = (Ld − Ll)
⎛
⎝
(
1 +(L′
d−Ll)
(Ld−Ll)T ′
dos
)(
1 + (L”d−Ll)(L′
d−Ll)
T”dos)
(1 + T ′
dos)(1 + T”dos)
⎞
⎠+ Ll
G(s) =1 + L”d−Ll)
(L′
d−Ll)T”dos
(1 + sT ′
do)(1 + sT”do)
Current interruption test reveals generator d-axis characteristics
7.13. SUDDEN SHORT CIRCUIT TEST 167
We now have the generator equations, for the special case of a simple impedance load, in thestandard form
dyrdt
= Ayr (7.79)
The dynamic behavior of the generator in a short circuit is defined by the eigenvalues of thematrix A, with the note that analysis by the direct use of A will be an approximation to theextent that it ignores the variation of generator inductances due to magnetic saturation.
(a)Initial
0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3 1.35 1.40
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Time, sec
(b)Full
0 1 2 3 4 5 6 7 8 9 100
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
Time, sec
Figure 7.33: Simulation of three phase sudden short circuit - direct axis variablesRed - stator current
Blue - field winding currentMagenta - Iron circuit current
Black - terminal voltage
Figure 7.33 shows the result of using the differential equation (7.77) to simulate the behaviorof a generator when subjected to a three phase short circuit, from an initially open circuittest condition. The stator current (red) has the expected form of an initial rapid decay, amuch slower decay, and a final steady value. The rotor currents (blue, magenta) are seento be associated with the variation of the stator current. At the moment the fault is appliedthe currents in the field winding (blue) and iron circuit (magenta) jump to positive values toprovide the magnetomotive force needed to maintain the flux linkages in the rotor circuits.Then the current in the iron circuit, whose resistance is relatively high, decays rapidly. As themmf provided by the ’iron’ current disappears the current in the field winding increases tomake up for the quick loss of mmf. Note that current, small but not zero, continues to flowin the iron circuit as long as stator and field winding currents are changing. At the end of thetransient the field current has returned to its original value and the current in the iron circuithas returned to zero.
Sudden short circuit according to operational impedance, Ld(s)
7.14. GENERATOR DYNAMIC MODELS FOR SIMULATIONS 169
Similar partial fraction expansion can be used for the transfer function, G(s), in equation (7.6)to yield.
G(s) =✓
b1 + sTa
+(1 � b)
(1 + sTa)(1 + sTb)
◆(7.83)
Then a transfer function diagram implementing equations (7.4), (7.5), and (7.6) with the partialfraction relationships can be drawn ’by inspection’. One possible form is shown in figure 7.34.
Figure 7.34: Transfer function block diagram corresponding to partial-fraction expression (7.83).
In the absence of saturation the abbreviations, a and b in the figure represent constants; recognitionof saturation makes them variables that must be reevaluated at each step of a numerical integrationprocess.
Expanding the expressions involving a and b in figure 7.34 results in figure 7.35.
Figure 7.35: Transfer function block diagram 7.34 with expressions in a, b expanded.
It should be noted that the development of figures 7.34 and 7.35 is completely emperical;it requires no knowledge of internal details of the machine, only values describing featuresobserved in test results. This point is important in commerce because specifications of machineryshould, wherever possible, be stated in terms of characteristics that can be measured directlyin normal operation or in practical tests.
7.14. GENERATOR DYNAMIC MODELS FOR SIMULATIONS 169
Similar partial fraction expansion can be used for the transfer function, G(s), in equation (7.6)to yield.
G(s) =✓
b1 + sTa
+(1 � b)
(1 + sTa)(1 + sTb)
◆(7.83)
Then a transfer function diagram implementing equations (7.4), (7.5), and (7.6) with the partialfraction relationships can be drawn ’by inspection’. One possible form is shown in figure 7.34.
Figure 7.34: Transfer function block diagram corresponding to partial-fraction expression (7.83).
In the absence of saturation the abbreviations, a and b in the figure represent constants; recognitionof saturation makes them variables that must be reevaluated at each step of a numerical integrationprocess.
Expanding the expressions involving a and b in figure 7.34 results in figure 7.35.
Figure 7.35: Transfer function block diagram 7.34 with expressions in a, b expanded.
It should be noted that the development of figures 7.34 and 7.35 is completely emperical;it requires no knowledge of internal details of the machine, only values describing featuresobserved in test results. This point is important in commerce because specifications of machineryshould, wherever possible, be stated in terms of characteristics that can be measured directlyin normal operation or in practical tests.
168 CHAPTER 7. SYNCHRONOUS MACHINES
7.14 Generator dynamic models for simulations
7.14.1 Initial deveopment of transfer function model
While the synchronous modeling described in section 7.5 is straightforward and can accommodatecomprehensive treatment of magnetic saturation it is not used directly in the large scale dynamicsimulation programs presently in widespread use. Among the reasons for this:
The early development of electric machine modeling preceded the development of digitalcomputers and calculations that are routine today were impractical with the tools thenavailable; approximations and simplifications were essential. Many of the implementationsof machine modeling presently in use owe their form to such simplifications.
The inductance coefficients appearing in equations (7.7)-(7.17) are not readily availableand do not directly describe characteristics of the machine that can be measured in tests.
The long-established tests of synchronous machines yield values of the parameters appearingin the operational impedance, equation (7.5). The modeling used in production simulationassumes that the following parameters are available for the direct and quadrature axes:
L synchronous reactanceL0 transient reactanceL” subtransient reactanceT0 transient open circuit time constantT” subtransient open circuit time constant
Construction of a transfer function starts with breaking the operational impedance (7.5) into itspartial fractions. We use a and b to represent the ratios as follows:
a = (L0 � Ll)/(L � Ll)b = (L” � Ll)/(L0 � Ll)
Then (7.5) can be written as
L(s) =(L � Ll)(1 + saTa)(1 + sbTb)
(1 + sTa)(1 + sTb)+ Ll (7.80)
and the partial fraction expansion proceeds to yield
L(s) = (L � Ll)
✓a +
1 � a1 + sTa
◆✓b +
1 � b1 + sTb
◆+ Ll (7.81)
L(s) = (L � Ll)
✓ab +
(1 � a)b1 + sTa
+a(1 � b)1 + sTb
+(1 � a)(1 � b)
(1 + sTa)(1 + sTb)
◆+ Ll (7.82)
L(s) = (L− ll)
!
(1 + asTa)
(1 + sTa)
(1 + bsTb)
(1 + sTb)
"
+ Ll
7.14. GENERATOR DYNAMIC MODELS FOR SIMULATIONS 169
Similar partial fraction expansion can be used for the transfer function, G(s), in equation (7.6)to yield.
G(s) =✓
b1 + sTa
+(1 � b)
(1 + sTa)(1 + sTb)
◆(7.83)
Then a transfer function diagram implementing equations (7.4), (7.5), and (7.6) with the partialfraction relationships can be drawn ’by inspection’. One possible form is shown in figure 7.34.
Figure 7.34: Transfer function block diagram corresponding to partial-fraction expression (7.83).
In the absence of saturation the abbreviations, a and b in the figure represent constants; recognitionof saturation makes them variables that must be reevaluated at each step of a numerical integrationprocess.
Expanding the expressions involving a and b in figure 7.34 results in figure 7.35.
Figure 7.35: Transfer function block diagram 7.34 with expressions in a, b expanded.
It should be noted that the development of figures 7.34 and 7.35 is completely emperical;it requires no knowledge of internal details of the machine, only values describing featuresobserved in test results. This point is important in commerce because specifications of machineryshould, wherever possible, be stated in terms of characteristics that can be measured directlyin normal operation or in practical tests.
7.14. GENERATOR DYNAMIC MODELS FOR SIMULATIONS 169
Similar partial fraction expansion can be used for the transfer function, G(s), in equation (7.6)to yield.
G(s) =✓
b1 + sTa
+(1 � b)
(1 + sTa)(1 + sTb)
◆(7.83)
Then a transfer function diagram implementing equations (7.4), (7.5), and (7.6) with the partialfraction relationships can be drawn ’by inspection’. One possible form is shown in figure 7.34.
Figure 7.34: Transfer function block diagram corresponding to partial-fraction expression (7.83).
In the absence of saturation the abbreviations, a and b in the figure represent constants; recognitionof saturation makes them variables that must be reevaluated at each step of a numerical integrationprocess.
Expanding the expressions involving a and b in figure 7.34 results in figure 7.35.
Figure 7.35: Transfer function block diagram 7.34 with expressions in a, b expanded.
It should be noted that the development of figures 7.34 and 7.35 is completely emperical;it requires no knowledge of internal details of the machine, only values describing featuresobserved in test results. This point is important in commerce because specifications of machineryshould, wherever possible, be stated in terms of characteristics that can be measured directlyin normal operation or in practical tests.
7.14. GENERATOR DYNAMIC MODELS FOR SIMULATIONS 169
Similar partial fraction expansion can be used for the transfer function, G(s), in equation (7.6)to yield.
G(s) =✓
b1 + sTa
+(1 � b)
(1 + sTa)(1 + sTb)
◆(7.83)
Then a transfer function diagram implementing equations (7.4), (7.5), and (7.6) with the partialfraction relationships can be drawn ’by inspection’. One possible form is shown in figure 7.34.
Figure 7.34: Transfer function block diagram corresponding to partial-fraction expression (7.83).
In the absence of saturation the abbreviations, a and b in the figure represent constants; recognitionof saturation makes them variables that must be reevaluated at each step of a numerical integrationprocess.
Expanding the expressions involving a and b in figure 7.34 results in figure 7.35.
Figure 7.35: Transfer function block diagram 7.34 with expressions in a, b expanded.
It should be noted that the development of figures 7.34 and 7.35 is completely emperical;it requires no knowledge of internal details of the machine, only values describing featuresobserved in test results. This point is important in commerce because specifications of machineryshould, wherever possible, be stated in terms of characteristics that can be measured directlyin normal operation or in practical tests.
168 CHAPTER 7. SYNCHRONOUS MACHINES
7.14 Generator dynamic models for simulations
7.14.1 Initial deveopment of transfer function model
While the synchronous modeling described in section 7.5 is straightforward and can accommodatecomprehensive treatment of magnetic saturation it is not used directly in the large scale dynamicsimulation programs presently in widespread use. Among the reasons for this:
The early development of electric machine modeling preceded the development of digitalcomputers and calculations that are routine today were impractical with the tools thenavailable; approximations and simplifications were essential. Many of the implementationsof machine modeling presently in use owe their form to such simplifications.
The inductance coefficients appearing in equations (7.7)-(7.17) are not readily availableand do not directly describe characteristics of the machine that can be measured in tests.
The long-established tests of synchronous machines yield values of the parameters appearingin the operational impedance, equation (7.5). The modeling used in production simulationassumes that the following parameters are available for the direct and quadrature axes:
L synchronous reactanceL0 transient reactanceL” subtransient reactanceT0 transient open circuit time constantT” subtransient open circuit time constant
Construction of a transfer function starts with breaking the operational impedance (7.5) into itspartial fractions. We use a and b to represent the ratios as follows:
a = (L0 � Ll)/(L � Ll)b = (L” � Ll)/(L0 � Ll)
Then (7.5) can be written as
L(s) =(L � Ll)(1 + saTa)(1 + sbTb)
(1 + sTa)(1 + sTb)+ Ll (7.80)
and the partial fraction expansion proceeds to yield
L(s) = (L � Ll)
✓a +
1 � a1 + sTa
◆✓b +
1 � b1 + sTb
◆+ Ll (7.81)
L(s) = (L � Ll)
✓ab +
(1 � a)b1 + sTa
+a(1 � b)1 + sTb
+(1 � a)(1 � b)
(1 + sTa)(1 + sTb)
◆+ Ll (7.82)
7.14. GENERATOR DYNAMIC MODELS FOR SIMULATIONS 169
Similar partial fraction expansion can be used for the transfer function, G(s), in equation (7.6)to yield.
G(s) =✓
b1 + sTa
+(1 � b)
(1 + sTa)(1 + sTb)
◆(7.83)
Then a transfer function diagram implementing equations (7.4), (7.5), and (7.6) with the partialfraction relationships can be drawn ’by inspection’. One possible form is shown in figure 7.34.
Figure 7.34: Transfer function block diagram corresponding to partial-fraction expression (7.83).
In the absence of saturation the abbreviations, a and b in the figure represent constants; recognitionof saturation makes them variables that must be reevaluated at each step of a numerical integrationprocess.
Expanding the expressions involving a and b in figure 7.34 results in figure 7.35.
Figure 7.35: Transfer function block diagram 7.34 with expressions in a, b expanded.
It should be noted that the development of figures 7.34 and 7.35 is completely emperical;it requires no knowledge of internal details of the machine, only values describing featuresobserved in test results. This point is important in commerce because specifications of machineryshould, wherever possible, be stated in terms of characteristics that can be measured directlyin normal operation or in practical tests.
7.14. GENERATOR DYNAMIC MODELS FOR SIMULATIONS 169
Similar partial fraction expansion can be used for the transfer function, G(s), in equation (7.6)to yield.
G(s) =✓
b1 + sTa
+(1 � b)
(1 + sTa)(1 + sTb)
◆(7.83)
Then a transfer function diagram implementing equations (7.4), (7.5), and (7.6) with the partialfraction relationships can be drawn ’by inspection’. One possible form is shown in figure 7.34.
Figure 7.34: Transfer function block diagram corresponding to partial-fraction expression (7.83).
In the absence of saturation the abbreviations, a and b in the figure represent constants; recognitionof saturation makes them variables that must be reevaluated at each step of a numerical integrationprocess.
Expanding the expressions involving a and b in figure 7.34 results in figure 7.35.
Figure 7.35: Transfer function block diagram 7.34 with expressions in a, b expanded.
It should be noted that the development of figures 7.34 and 7.35 is completely emperical;it requires no knowledge of internal details of the machine, only values describing featuresobserved in test results. This point is important in commerce because specifications of machineryshould, wherever possible, be stated in terms of characteristics that can be measured directlyin normal operation or in practical tests.
Ld =Ldu − Ll
(1 + S(ψ))+ Ll
L′
d =L′
du− Ll
(1 + S(ψ))+ Ll
L”d =L”du − Ll
(1 + S(ψ))+ Ll
a =
L′
d− Ll
L′
d− Ll
b =L′′
d− Ll
L′
d− Ll
Magnetic saturation saturated inductance parameters are continually varying functions of flux
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1.3
1.4
0 200 400 600 800 1000 1200 1400 1600
Field Amps
Sta
tor
Vo
ltag
e, p
u
VsTest
AirGapLine
Ifd-Parabolic
Ifd-Exponential
Figure 5.1.1
Gas Turbine Magnetization Curve
Se = S(ψd) = S(Ifd)
Se = S(ψag) = S(|Vs + jXlIs|)
Se = S(ψ′′) = S(|Vs + jX ′′Is|)
Se = S(ψ) = S(ψwhere?)
ψ teeth = ψag +KisIs
How to characterize saturation ???
Se = S(ψ) Theoretical
Devil is in the details
Open circuit operation
Flux behind subtransient reactance genrou and family
Flux in air gap gentpf
Stator current affects saturation
Se = S(ψ teeth) Flux in stator teeth gentpj and genopz
0 1 2 3 4 5 6 7 8 9 100.5
0.6
0.7
0.8
0.9
1
1.1
Volta
ge, p
u
VtopzVttpjVtrou
0 1 2 3 4 5 6 7 8 9 10Time, sec
40
60
80
100
120
Pow
er, M
W
PopzPtpjProu
Red genopzGreen genrouBlue gentpj
Transmission fault
Constant Efd
0 5 10 15 20 25 300
0.2
0.4
0.6
0.8
1
Vt
0 5 10 15 20 25 30Time, sec
0.2
0.4
0.6
0.8
1
Ifdz
Ifdj I
fdr
CurrentInterruption
Constant Efd
Red genopzGreen genrouBlue gentpj
0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3 1.35 1.40.85
0.9
0.95
1
Vt
0.9 0.95 1 1.05 1.1 1.15 1.2 1.25 1.3 1.35 1.4Time, sec
0.2
0.4
0.6
0.8
1
Ifdz
Ifdj I
fdr
CurrentInterruption
Constant Efd
Red genopzGreen genrouBlue gentpj
10-4 10-3 10-2 10-1 100 101 1020
0.5
1
1.5
2Am
plitu
de
10-4 10-3 10-2 10-1 100 101 102
Frequency, Hz
-60
-50
-40
-30
-20
-10
0
Phas
e, d
eg
Red genopzGreen genrouBlue gentpj
∆vq(jω)
∆id(jω)= Ld(jω)
-0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8Reactive Power, per unit
0
0.5
1
1.5
2
2.5
Fiel
d C
urre
nt, p
er u
nit
V curve McNary 4
Red - Ifd test Black - Ifd model
Blue - voltage Magenta - power
Mbase = 86.00 MVA
Ld = 0.620 Lq = 0.400
s1 = 0.120 S12= 0.380
Ll = 0.175 Kis= 0.000
Ra = 0.0000 Afag= 620.0
If0 = 0.000
-0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8Reactive Power, per unit
0
0.5
1
1.5
2
2.5
Fiel
d C
urre
nt, p
er u
nit
V curve McNary 4
Red - Ifd test Black - Ifd model
Blue - voltage Magenta - power
Mbase = 86.00 MVA
Ld = 0.620 Lq = 0.400
s1 = 0.120 S12= 0.380
Ll = 0.175 Kis= 0.075
Ra = 0.0000 Afag= 620.0
If0 = 0.000
-0.2 -0.1 0 0.1 0.2 0.3 0.4Reactive Power, per unit
0
0.5
1
1.5
2
2.5
3
3.5
Fiel
d C
urre
nt, p
er u
nit
Magenta - Ifd test R,G,B - Ifd model / Kis = 0.0, 0.05, 0.1Cyan - voltage Black - powerMbase = 1559.00 MVALd = 1.990 Lq = 1.860s1 = 0.142 S12= 0.738Ll = 0.220 Kis= 0.100Ra = 0.0000 Afag=1800.0
ci-auto.pdf
Red genrouGreen gentpjBlue genopz
CurrentInterruption
AVR Auto
10 seconds
ci-auto-s.pdf
Red genrouGreen gentpjBlue genopz
CurrentInterruption
AVR Auto
1 second
avrstep-offline.pdf
Red genrouGreen gentpjBlue genopz
AVR referencestep
Off line
avrstep-online.pdf
Red genrouGreen gentpjBlue genopz
AVR referencestep
On line
Ld(s) = (Ld − Ll)
⎛
⎝
1 +(L′
d−Ll)
(Ld−Ll)T ′
dos
1 + T ′
dos
⎞
⎠
⎛
⎝
1 + (L”d−Ll)(L′
d−Ll)
T”dos
1 + T”dos
⎞
⎠+ Ll
L(s) = (L− Ll)
(
ab+(1− a)b
1 + sTa
+a(1− b)
1 + sTb
+(1− a)(1− b)
(1 + sTa)(1 + sTb)
)
+ Ll
gopz dynamic model
Same saturation treatment as gentpj
Saturation is a function of BOTH air gap flux and stator current
Does not depend on assumed relationships among inductance coefficients
Is readily related to basic observable performance characteristics
Is simple to explain
Notes on generator models
ALL of our generator models are approximationswith regard to
magnetic saturationtorque developed during transmission faults. . . . . .
Which one of our models is best suited for any particular application is dependent on
the electrical configuration in questionthe disturbance under considerationthe time frame of the post disturbance event
Thank you