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Modelling and Controlof Wind Generation Systems
Dr Olimpo Anaya-Lara
TUTORIAL:Transmission and Integration of Wind Power Systems:
Issues and Solutions2nd International Conference on Integration of Renewable and
Distributed Energy ResourcesDecember 4-8, 2006, Napa, CA, USA
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 2
Programme1. Introduction2. Wind turbine technologies3. Optimum power extraction from wind4. Dynamic model of the Doubly-Fed Induction Generator
(DFIG)5. Control of DFIG-based wind turbines
5.1. Provision of synchronising torque characteristic5.2. Short-term frequency control5.3. Provision of Power System Stabiliser (PSS)
6. Impact of wind farms on transient and dynamic stability7. PSS for a generic DFIG controller8. References
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 3
1. Introduction
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 4
Introduction Wind power is presently the most cost-effective renewable
technology and provides a continuously growing contribution toclimate change goals, energy diversity and security.
Integration of large amounts of wind power into electricity networksface however various strong challenges:
Technical characteristics of wind turbine technologies aredifferent from conventional power plants.
Wind intermittency Grid availability and reliability Grid Code compliance
Accurate modelling and control of wind turbine systems for powersystem studies are required to help solving these challenges
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 5
Wind turbine components
Combination of mechanicaland electrical systems
Mechanical:Aerodynamics and structural
dynamics
Electrical:Generator, power electronicconverters, control system,
protection equipmentSource: www.nordex-online.com
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 6
2. Wind turbine technologies
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 7
FSIG-based wind turbine
SCIG Soft-starter
Capacitorbank
NETWORK
Fixed-Speed Induction Generator (FSIG)-based wind turbines employ a squirrel-cageinduction generator directly connected to the network.
The slip (and hence the rotor speed) varies with the amount of power generated. In thisturbines the rotor speed variations are very small (1 or 2%).
The induction generator consumes reactive power and hence capacitor banks are used toprovide the reactive power consumption and to improve the power factor.
An anti-parallel thyristor soft-start unit is used to energise the generator once its operatingspeed is reached.
Power control is typically exercised through pitch control.
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 8
DFIG-based wind turbineWound-rotor
Induction generator
PWM converters
Network
Crowbarprotection
Doubly-Fed Induction Generator (DFIG)-based wind turbines employ a wound rotorinduction generator with slip rings to take current into or out of the rotor.
Variable-speed operation is obtained by injecting a controllable voltage into the rotor atslip frequency.
The rotor winding is fed through a variable frequency power converter. The powerconverter decouples the network electrical frequency from the rotor mechanical frequencyenabling the variable-speed operation of the wind turbine.
The generator and converters are protected by voltage limits and an over-currentcrowbar.
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 9
Wide-range SG wind turbine (SGWT)
GeneratorPower
converter Network
Gearbox
GeneratorSide
ConverterNetwork
SideConverter
This wind turbine uses a synchronous generator (it can either be an electrically excitedsynchronous generator or a permanent magnet machine.
The aerodynamic rotor and generator shafts may be coupled directly, or they can becouple through a gear box.
To enable variable-speed operation, the synchronous generator is connected to thenetwork through a variable frequency converter, which completely decouples thegenerator from the network.
The electrical frequency of the generator may vary as the wind speed changes, while thenetwork frequency remains unchanged.
The rating of the power converter in this wind turbine corresponds to the rated power ofthe generator plus losses.
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 10
3. Optimum power extractionfrom wind
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 11
Optimum power extraction from wind
Power in the airflow:
312airP AU=
Power extracted by the wind turbine rotor:
wt p airP C P= Where: : Air densityA : Area swept by the bladesU : Wind speedCp : Power coefficient
max 0.593pC = (Betz limit)
The turbine will never extractmore than 59% of the powerfrom the airflow
WIND
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 12
00.10.20.30.40.5
0 5 10 15 20Tip-speed ratio
C
p r RU =
r is the rotor speedand R is the radiusof the rotorPower coefficient/Tip speed ratio curve
Tip speed ratio :
Operating a wind turbine at variable rotational speed it is possibleto operate at maximum Cp over a wide range of wind speeds
To extract maximum power r should vary with the wind speedsuch as to maintain at its opt
Optimum power extraction from wind
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 13
G
e
n
e
r
a
t
o
r
p
o
w
e
r
Generator speed
Rated power
Maximum Powercurve (Popt)
Speed Limit
U = 12 m/s
U = 10 m/s
U = 8 m/s
U = 6 m/sU = 4 m/s
U = 2 m/s
Speed
Rated power
Cut-inspeed
Speedlimit
Shut-downspeed
Powerset-point
In practice the rotor torque (power) is used as set-point anda speed controller is designed to maintain the operation ofthe generator at the point of maximum power extraction
Wind turbine power curve
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 14
4. Dynamic model of the Doubly-FedInduction Generator (DFIG)
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 15
Typical DFIG wind turbine
CONTROL SYSTEM Networkoperator
Gearbox
Crowbar
DFIG
PWM Converters
Windmill
PowerNetworkC1 C2
Wound rotorinduction generator
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 16
DFIG power electronic converters
Back-to-back voltage source converters (VSCs)Converter C1 Converter C2
DC-linkMachine
Side (rotor)Grid side(Machine
stator)
Graetz bridge (two-level VSC) IGBT-based Pulse Width Modulated (Sinusoidal, Space Vector PWM) Typical switching frequencies above 2 kHz Trade-off between switching frequency (losses) and harmonics
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 17
DFIG power relationshipsA DFIG system can deliver power to the grid through thestator and rotor, while the rotor can also absorb power. Thisis dependent upon the rotational speed of the generator
P
r > s
Super synchronousoperation
P
r < s
Sub synchronousoperation
s rs
s
=
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 18
DFIG power relationshipsMechanical
Input ElectricalOutput
Power throughthe slip rings
Rotorlosses
Statorlosses
mP _air gapP
rP
sP
mP : Mechanical power delivered tothe generatorrP : Power delivered by the rotor_air gapP : Power at the generators air gapsP : Power delivered by the stator
_air gap sP P=_air gap m r s
s m r
P P P PP P P
= ==
s r rT T P =
r s sP Ts sP= =g s rP P P= +
s rs
s
=Slip
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 19
Dynamic model of the DFIG Derive voltage and
flux equations for thestator and rotor inthe abc domain.
Transform voltageand flux equations tothe dq referenceframe.
Model the inductiongenerator as avoltage behind atransient reactance.
r
as-
as
arbs-
bsbr
br-cs-
cr-cr
cs
br axisbs axis
cr axiscs axis
as axis
ar axisar-
Stator winding
Rotor winding
Air gap
Schematic diagram of aninduction generator
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 20
Stator and rotorcircuits of an induction generator
: Stator resistance: Rotor resistance: Stator leakage inductance: Rotor leakage inductance: Magnetising inductance
srsrm
RRLLL
ss s mrr r m
L L LL L L
= +
= +
, : Stator and rotorself-inductances
ss rrL L
rotation
rasi
bsi
csi
ari
bri
cri
asvbsv
csv
arvbrv
crv,r rR L,s sR LmL
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 21
DFIG 3rd order model(voltage behind transient reactance)
( )emr TTJdtd =1
Stator voltages: Rotor voltages:
Voltage components:
Rotor swing equation:
'
'ds s ds qs d
qs s qs ds q
v R i X i ev R i X i e = + +
= +
md qr
rr
Le L =m
q drrr
Le L = mrmr
s XXXXXX
+
+='ms XXX +=
r
mr
r
rro R
LLRLT +== ( )
s
qsqdsde
ieieT +
=
Transient reactance's:
Open circuit time constant:
( )
( )
'
'
1
1
d md qs s q s qr
s o rrq m
q ds s d s drs o rr
de Le X X i s e vdt T Lde Le X X i s e vdt T L
= + = + +
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 22
Vector diagram of DFIG operating conditions
r$
d
q
sv
si
sjX i
rvi r
ri
e
( )[ ]1 ms s s rs o rr
Ld j X X j s jdt T L = + e e i e v
In steady state
r dr qrv jv= +v
0d dt =e
m rrr
Ls Le v
r sv e
e : internal voltage vectorvs: terminal voltage vectorBr : rotor flux vectorvr : rotor voltage vector
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 23
5. Control of DFIG-basedwind turbines
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 24
Decoupled active and reactive power control
The dq transformation allows the two rotorinjection voltages vqr and vdr to be regulatedseparately
Power control Voltage control
qrv
drv
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 25
DFIG current-mode control
+ - + +77
P
I
qrv_qr refi qrv
qri
s mm s
L LL v
+
spTeT
r
+-
+ +77
P
I
drv_dr refi drv
dri
7+ +
1s mL
vcK7+ -
s refv
sv
Voltage control loop:
Torque control loop:
Compensationterm
Compensationterm
Source: Ref [4]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 26
DFIG rotor flux magnitude and angle control
ControllerA
angrefXCompensator
AuxLoop 3
3auxu2auxu
1auxu
Power SystemStabiliser
capabilities
AuxLoop 2
AuxLoop 1
Provision ofSynchronising Power
characteristic
NetworkFrequency
support
Speed(slip)
sVsrefV -+
ePerefP -+
AVRCompensator
magrefXrV Rotor
voltage
Flux and Magnitude Angle Controller (FMAC)Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 27
Synchronous Generatorand DFIG vector diagrams
Round rotor synchronous generator Doubly fed induction generator
fd =rotor field flux vectorfd fdE =
Efd = dc field voltagetE =terminal voltage vectorgE =generator internal voltage
(voltage behind synchronousreactance)
sI =stator current vectorr = rotor angleXS = synchronous reactance
r =rotor flux vectorsV =terminal voltage vectorigE =generator internal voltage
vector (voltage behindtransient reactance)
isI =stator current vectorrV =rotor voltage vector
ig = generator load angleir = rotor voltage angleX = transient reactance
r
d
q
igE
sV
isI
isjXI
ig
ig
rVir
d
q
ssjXI
r
gE
tE
sI fd
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 28
FMAC basic scheme
-
rv
Polartodq
Transf.
ir
drv
qrv
7++-sV
refsV 7
-7++
-7 ippp
kk s+
impm
kk s+ ( )mg s
iapa
kk s+ ( )ag s
ivpv
kk s+ ( )vg s
AVR compensator
refe
FMAC Controller
E
ref
Controller AeP
erefP
Power-speed function formax. power extraction
11 fsT+
Filter
Source: Ref [3]
( ) 1 0.024 1 0.0351 0.004 1 0.05vs sg s s s
+ +=
+ +( ) ( ) 1 0.41 2m a
sg s g s s+
= = +
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 29
Auxiliary loop 1:Synchronising power characteristic
-
magrV
Polartodq
Transf.
angrV
rdV
rqV
7++-sV
refsV 7
+ + -7+7+
-7
_ig sync
_ig Tippp
kk s+
impm
kk s+ ( )mg s
iapa
kk s+ ( )ag s
slip
Auxiliary loop to provide power-angle characteristic
ivpv
kk s+ ( )vg s
AVR compensator
DfigrefE
Dfig
FMAC basic scheme
DfigE
Dfigref
Controller AeP
erefP
Power-speedfunction formax. Powerextraction
11 fsT+
Filter
slip
WashoutfilterIntegrator
12
11
sTsT
++
PhaseCompensator
2 ss 1
sTsT+
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 30
Auxiliary loop 2:Power System Stabiliser
-
m a grV
P o l a rt o
d qT r a n s f .
a n grV
r dV
r qV
7++-
sV
r e fsV 7
+ + -7+7+
-7
_i g Ti pp p
kk s+
i mp m
kk s+ ( )mg s
i ap a
kk s+ ( )ag s
A u x i l i a r y l o o p t o p r o v i d e P o w e r S y s t e m S t a b i l i s e r
i vp v
kk s+ ( )vg s
A V R c o m p e n s a t o r
D f i g r e fE
D f i g
F M A C b a s i c s c h e m e
D f i gE
D f i g r e f
C o n t r o l l e r AeP
e r e fP
P o w e r - s p e e df u n c t i o n f o r
m a x . P o w e re x t r a c t i o n
11 fs T+
F i l t e r
s l i p
2a u xus l i p
W a s h - o u t C o m p e n s a t o r
1s T
s T+ ( )2ag s
L i m i t e r
S o u r c e : R e f [ 3 ]
( )2
21 0 . 0 42 0 0 1 0 . 2a
sg s s+
= +
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 31
Auxiliary loop 3:Short-term frequency regulation
-
magrV
Polartodq
Transf.
angrV
rdV
rqV
7++-sV
refsV 7
+ + -7+7+
-7
2ig
1igippp
kk s+
impm
kk s+ ( )mg s
iapa
kk s+ ( )ag s
slipAuxiliary loop tofacilitate short-term frequency
support
ivpv
kk s+ ( )vg s
AVR compensator
DfigrefE
Dfig
FMAC basic scheme
DfigE
Dfigref
Controller A
eP
erefP
Power-speedfunction formax. Powerextraction
11 fsT+
Filter
Networkfrequency
2ig
1sT
sT+sf ( )1ag s ( )2ag s
- 7+
( )3ag s1sT
sT+
Shaping function
trefslip
tslip
r
Source: Ref [3]
( )1500
1 5ag s s
=+
( )23 4 . 5
1 5asg s s
+=
+
( )30 . 8 1 . 2
1 3asg s s
+=
+
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 32
6. Impact of wind farms on transientand dynamic stability
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 33
Generic network model
SynchronousGenerator
DFIGWind Farm
orsynchronous
generator
MainSystem
LoadZF
Fault 1
Generator 1 Generator 2
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 34
Conventional synchronous plant operation
Generator 1 (G1): Synchronous generatorGenerator 2 (G2): Synchronous generator
FAULT 1 applied at t=0.2 s. Clearance time 150 ms.
(a) Synchronousgenerator (G1)
(b) Synchronousgenerator (G2)
G1 G2
G3
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 35
DFIG with synchronising power characteristic
Generator 1 (G1): Synchronous generatorGenerator 2 (G2): DFIG with FMAC basic control
FAULT 1 applied at t=0.2 s. Clearance time 150 ms.
(a) Synchronousgenerator (G1)
(b) DFIGwind farm (G2)
G1 G2
G3
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 36
Generator 1 (G1): Synchronous generatorGenerator 2 (G2): DFIG with FMAC basic control
scheme plus auxiliary loop 1.G1 G2
G3
FAULT 1 applied at t=0.2 s. Clearance time 150 ms.
(a) Synchronousgenerator (G1)
(b) DFIGwind farm (G2)
DFIG with synchronising power characteristic
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 37
DFIG with PSS capability
Generator 1 (G1): Synchronous generatorGenerator 2 (G2): DFIG with FMAC basic control
scheme plus auxiliary loop 2G1 G2
G3
FAULT 1 applied at t=0.2 s. Clearance time 150 ms.
(a) Synchronousgenerator (G1) (b) DFIGwind farm (G2)
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 38
DFIG contribution to frequency regulation
Loss of generation applied at t=0.5 s.
(a) Main System (G3) (b) Synchronousgenerator (G2)
Generator 1 (G1): Synchronous generatorGenerator 2 (G2): Synchronous generator
G1 G2
G3
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 39
DFIG contribution to frequency regulation
Generator 1 (G1): Synchronous generatorGenerator 2 (G2): DFIG with FMAC basic control
scheme plus auxiliary loop 3G1 G2
G3
Loss of generation applied at t=0.5 s.
(a) Main System (G3) (b) DFIGwind farm (G2)
Source: Ref [3]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 40
Influence ofwind generation on dynamic stability
installed capacity of generator G2 (MVA)Capacitor factor 2 maximum capacity of G2 MVA (2400 MVA)f =
2242402,5202,8001/10
7508002,5202,8001/3
1,5001,6002,5202,8002/3
2,2402,4002,5202,8001
G2Rating(MW)
G2Rating(MVA)
G1Rating(MW)
G1Rating(MVA)
G2f2
Operating situationsFixed power P1 of G1
G1(SouthernScotland)
G2(NorthernScotland)
Main System(England-Wales)
Load L1
Bus1 Bus2
Bus3
Bus4X1 X2
X3
Load
Eigenvalue analysis
Source: Ref [2]
-
Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 41
Generator 2: Synchronous generator
Variation of dominant eigenvalue loci with generation capacityAVR Control AVR + PSS Control
Influence ofwind generation on dynamic stability
Source: Ref [2]
-
Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 42
Generator 2: Wind generation
Variation of dominant eigenvalue loci with generation capacity
FSIG-wind farm DFIG wind farm withcurrent-mode control
Influence ofwind generation on dynamic stability
Source: Ref [2]
-
Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 43
Generator 2: DFIG wind farm with FMAC control
Variation of dominant eigenvalue loci with generation capacityFMAC basic FMAC basic + PSS control
Influence ofwind generation on dynamic stability
-
Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 44
PSS for a generic DFIG controller
GenericDFIG
Control
srefV
erefP
drV
qrV Rectan.to polartransf. rangV
Polar torectan.transf.
drV
qrV
rmagV
PSSslip
+ +
PSSu
Source: Ref [5]
-
Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 45
DFIG Power System Stabiliser
GenericDFIG
Control
srefV
e r e fP
d rV
q rV R e c t a n .
t o p o l a rt r a n s f . r a n gV
P o l a r t or e c t a n .
t r a n s f .
d rV
q rV
r m a gV
+ +
P S Sus l i p
W a s h o u t C o m p e n s a t o r
51 5
ss+
213 0 0 1 0 . 2 s +
L i m i t e r0 . 8
0 . 8
S o u r c e : R e f [ 5 ]
-
Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 46
Control performance (transient stability)Generator 1 (G1): Synchronous generatorGenerator 2 (G2): DFIG
Fault applied at t=0.2 s with a clearance time of 150ms. (Full line:DFIG with PSS; dotted line: DFIG without PSS)
DFIG in super synchronousOperation (slip = -0.2)
DFIG in sub synchronousOperation (slip = 0.2)
G1 G2
G3
Source: Ref [5]
-
Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 47
Control performance (dynamic stability)Generator 1 (G1): Synchronous generatorGenerator 2 (G2): DFIG
Operating situations
G1 G2
G3
675-1828570.2
2,3033751,928-0.2
TotalpowerOutput MW
ConverterpowerMW
DFIG Statorpower MW
Slip
Influence of PSS loop on thedominant eigenvalue for subsynchronous (s=0.2) and supersynchronous operation (s=-0.2).(With PSS ; without PSS C)
Source: Ref [5]
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Dr Olimpo Anaya-Lara TUTORIAL: Control of Wind Generation Systems, 4 December 2006, Napa, CA, USA 48
Reference for further reading1. P. Kundur: "Power systems stability and control," McGraw-Hill, 1994.2. O. Anaya-Lara, F. M. Hughes, N. Jenkins, and G. Strbac, Influence of wind farms on
power system dynamic and transient stability, Wind Engineering, Vol. 30, No. 2, pp.107-127, March 2006.
3. F. M. Hughes, O. Anaya-Lara, N. Jenkins, and G. Strbac, Control of DFIG-based windgeneration for power network support, IEEE Transactions on Power Systems, Vol. 20,No. 4, pp. 1958-1966, November 2005.
4. O. Anaya-Lara, F. M. Hughes, N. Jenkins, and G. Strbac, Rotor flux magnitude andangle control strategy for doubly fed induction generators, Wind Energy, Vol. 9. No. 5,pp. 479-495, June 2006.
5. O. Anaya-Lara, F. M. Hughes, N. Jenkins, and G. Strbac, Power system stabiliser for ageneric DFIG-based wind farm controller, paper accepted for publication at the IEEAC/DC Conference, March, 2006
-
Modelling and Controlof Wind Generation Systems
Dr Olimpo Anaya-Lara
TUTORIAL:Transmission and Integration of Wind Power Systems:
Issues and Solutions2nd International Conference on Integration of Renewable and
Distributed Energy ResourcesDecember 4-8, 2006, Napa, CA, US