control of a scig wind farm connected to a single power converter
TRANSCRIPT
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Control of a squirrel cage induction generator wind
farm connected to a single power converter
Llus Trilla, Oriol Gomis-Bellmunt , Adria Junyent-Ferre, Agust Egea Alvarez and Antoni Sudria-Andreu
Catalonia Institute for Energy Research (IREC)
Josep Pla 2, B2 Planta Baixa - 08019 Barcelona (Spain).
Email: [email protected] dInnovacio Tecnologica en Convertidors Estatics i Accionaments (CITCEA-UPC)
Departament dEnginyeria Electrica. Universitat Politecnica de Catalunya - 08028 Barcelona (Spain).
AbstractThe aim of this paper is to analyze the control ofseveral wind power generators based on squirrel cage inductiongenerators with one common power converter. This configurationis especially useful for offshore wind farms with a VSC-HVDCtransmission. A comparison with a configuration where eachgenerator is connected to one power converter, is done focusingin the total power extraction. Scalar-controlled squirrel cageinduction generators have been implemented in both cases. Thecontrol scheme has been modified implementing an aggregatedmodel in order to allow the common converter to performappropriated control tasks. A fault ride-through control protectsthe DC bus from overvoltages, it varies the torque and slipreference to limit the total output power. Results have beenvalidated by means of simulation in both scenarios showing thedifferences in the total power obtained and the influence of thegenerator operating point. The performance of the system underonshore grid faults has been simulated.
I. INTRODUCTION
The increasing demand on clean energy is making the
development of wind power more interesting [9]. Offshore
options are becoming more appealing since the difficulty of
finding good onshore locations with strong, regular winds thatare also close to the grid is increasing. Offshore wind farms
situated further than 60 km from the shore can be connected to
the grid through DC links [1] [11] [12]. In this case an offshore
power converter has to perform the DC power conversion,
different connection topologies have been studied by other
authors [7] [10]. Transmission using HVDC requires a full
power converter onshore that adapts the power to the needs
of the grid. This transmission system has some advantages,
as it smooths the impact of the wind farm on grid stability,
especially in areas with weak AC systems.
In modern wind power plants, usually each generator is
controlled by one power converter, which keeps the machine
working at its optimum operating point while maximizingwind power capture. As more devices are working in the
wind farm the probability of failure of one of them becomes
higher. This is an important factor because of the difficulties
accessing an offshore park. In addition, each power converter
adds a percentage to the energy loss and implies a higher initial
investment.
This paper analyzes a topology and control scheme where
one power converter controls several machines at the same
time. This configuration allows the wind farms to be divided
into clusters, controlled with a reduced number of power
converters. In the proposed scheme the control of various
squirrel cage induction generators is performed by variation of
system frequency and voltage, keeping the flux in the generator
constant.
Control actions have to manage a set of wind power
generators. In order to calculate the control reference valuesan aggregated model has been implemented. These models
are used in simulations of large wind farms testing different
connection topologies [13]. In the aggregated model different
incoming wind speeds are considered for each turbine, and
the generator angular speed is measured with sensors, then
the mean speed of all the machines is used by the controller
to compute the frequency and the voltage.
An analysis of the reaction when a wind speed change
is done and a comparison between this configuration and a
classic topology is presented here. A full power converter is
necessary to convert the AC medium voltage to HVDC. As
will be shown, the use of this converter to do control tasks,
and the elimination of individual power converters leads toa poorer performance since the operating point of the park is
moved away from the optimum. On the other hand the number
of elements offshore is reduced and thus there is less energy
loss.
In order to keep the DC bus voltage constant the controller
modifies the torque reference signal limiting the total output
electrical power. The line fault ride through performance of
the implemented control scheme is shown via simulation and
the resultant effect of the torque control is analyzed.
This paper is organized as follows: the wind farm connec-
tion topology proposed is introduced in Section II, followed
in Section III by a description of the model used. The control
scheme is explained in Section IV and simulation results arepresented in Section V. Conclusions are in Section VI.
I I . CONNECTION TOPOLOGY
In order to test the capacity of controlling several machines
in different operating points a common converter configuration
is modelled. This topology consists of several wind power
generators interconnected to the wind farm grid and controlled
by one full power converter. The DC conversion for the trans-
mission to the onshore grid is done by this power converter.
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D. Wind park grid and HVDC transmission
A transformer is connected to each generator and a medium
voltage AC grid has been considered. A high voltage trans-
former delivers the total power to the offshore converter and
the HVDC transmission cables are implemented according to
the Cigre benchmark model [15].
IV. CONTROL SCHEME
A. Scalar Control
The widely used scalar control [2], [4] has been imple-
mented to drive multiple generators. The scalar-controlled
devices have been used for a long time in industry for single
machine control and are easy to implement, although they give
inferior performance then vector control schemes. In general,
the scalar control is applicable when the speed does not have
to change rapidly in the machine.
In this control scheme the ratio voltage/frequency
(V olt/Hz) is kept constant. Assuming that the voltage isproportional to the frequency, flux amplitude is maintained
constant = Use
, neglecting stator resistance Rs.
It is necessary to measure the generator speed and thus use acommunication link in order to send the data to the controller
and compute the torque and the optimum torque. The slip
frequency necessary to minimize the calculated error can be
obtained with a classic PI. The torque is kept proportional to
the slip while the machine is in the linear working area, which
is close to zero slip speed.
In the practical implementation a boost voltage U0 = Rsisis added in order to compensate the drop at the stator re-
sistance. The boost voltage becomes important at low speeds
because the stator resistance tends to absorb more voltage but
is negligible at high frequencies.
B. Aggregated ModelThere are several ways to simulate a wind farm [8], depend-
ing on the topology of the park, the needs of the control or
the variables of interest in the simulation.
In this case it is important to note that the control system
does not control each machine individually; instead, it obtains
information about the whole set of generators. Thus, its task
is to apply the proper control actions to all the machines at
the same time. In order to get the data of the set of generators,
it is worth aggregating the models at some point before the
controller reads it. Fig. 2 illustrates the control scheme used.
In this scheme the aggregation is performed once the rotor
speed is sensed in each machine. When the whole set of speed
of generators is computed the total torque can be calculated as = Pe
gusing the total electric power obtained at the power
converter.
It is worth noting that the total power is obtained from
the total voltage and current applied to the system. This
fact prevents the controller computing the individual torque
of each machine (even knowing their individual angular
speed) because the actual power of each separate generator
is unknown. In this scheme the mean speed (9) of all the
generators involved has been used and the control action is
computed as only one machine has to be controlled. Voltage
and frequency, applied by the converter, are the same for all the
generators because they are sharing the same grid. Other types
of aggregation (e.g. torque, speed square) can be considered
in order to improve the control performance but comparison
of these techniques is out of the scope of this paper.
g =
N
i=1gi
N (9)
Wheregi is the electrical angular speed of each generatorand N is the number of generators involved. The optimumtorque
=KCp 2
g (10)
wherepis the number of pole pairs and r is the mechanicalangular speed of the rotor. Once the slip is computed with the
PI controller the frequency can be calculated e = slip +g =slip+pr and be imposed to the system.
C. Line Fault Ride Through
During a voltage sag in the AC grid the capacity of energyevacuation of the onshore converter drops drastically. When
the DC bus voltage increases and exceeds a minimum level
the controller reduces the torque and the slip reference in order
to decrease the amount of power generated. This reduction is
proportional to the voltage level reached by the DC bus, if this
voltage goes beyond a maximum level the torque and the slip
reference are set to zero until the voltage is back to its nominal
value. In Fig. 2 can be seen a schematic representation of the
line fault ride through control.
D. Onshore converter
The VSC converter controls independently active and re-
active power. This converter has to keep constant the HVDCvoltage adjusting the active power delivered to the grid and
reactive power use to support the grid voltage when a line
fault is detected as is implemented by [16]. There is no
communication between offshore and onshore controllers and
they act separately. When the system is facing a voltage dip the
onshore converter has a limited rank of action, if the HVDC
voltage control is lost the offshore controller starts to operate.
V. SIMULATION RESULTS
Topology and the control scheme have been tested in sim-
ulation using Matlab/SimulinkR, modelling three turbines of
2MW each one. Reactions when facing wind speed variations
and their adaption to these changes for the whole set ofgenerators and each individual machine have been checked.
In the model some simplifications have been made, en-
ergy losses have been considered in cables, transformers and
converters but harmonic distortion in power converter and
transformer saturation are not considered. The parameters used
to simulate the model of generator can be found in [5] and in
Table I.
Two different systems have been compared using the same
wind series, the wind steps used can be seen at Fig. 3.
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Fig. 2. Control scheme
TABLE IPARAMETERS OF THE GENERATOR IN P.U. 50HZ, 2MW, 690V
Rs 0.048 R
r 0.018 Xm 3.800Xs 0.075 X
r 0.120
5 10 15 20 25 30 35 408
8.5
9
9.5
10
10.5
11
11.5
12
time(s)
windspeed(m/s)
Incoming wind speed
Fig. 3. Incoming wind speed
The system has a common power converter and three wind
power generators. The controller performs the control tasks
using the aggregated model. In order to show a comparison
with classical topology another system is modelled connecting
one power converter to each generator. The control schemeused in this case is a classic scalar control.
The total power generated is shown in Fig. 4. Solid line
represents the power generated with the common converter
configuration, and the dashed line is the power generated
with the individual topology. The results show variation in
the power extracted when the incoming winds are different
(the common power converter scheme generates less power
because not all the machines are operating at their optimum
point). In fact as the difference in the incoming winds received
by the turbines increases, its optimum becomes further from
the operating point, and thus less power is generated. However,
when incoming winds are equal for the three turbines the
power generated reaches its maximum level and becomes
the same with both topologies, because all the turbines are
working at their optimum level.
10 15 20 25 30 35 400.52
0.525
0.53
0.535
0.54
0.545
0.55
time(s)
Power(p.u.)
Total electric power
Common converter
Individual converter
Fig. 4. Total electrical power extracted
The individual power generated by each machine is plotted
in Fig. 5 where the horizontal lines mark the limit of the energy
extraction (this limit is reached with the individual converter
topology). As can be seen turbine number 2 is operating closeto its optimum because its operating point is in the middle of
the other two turbines.
The maximum energy extraction is reached when the Cp co-efficient reaches its optimum, in Fig 6. is shown the evolution
of this parameter.
In order to check the performance of the LFRT control a
voltage sag to the 0.1 p.u. has been simulated, Fig. 7. Wind
speed is kept constant but different for each turbine. The
evolution of the torques (solid lines) of the machines and the
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10 11 12 13 14 15 16 17 18 19 200.9
0.95
1
1.05
1.1
1.15
time(s)
Voltage
(p.u
)
DC voltage
Fig. 9. HVDC voltage
10 11 12 13 14 15 16 17 18 19 200
0.1
0.2
0.3
0.4
0.5
0.6
0.7
time(s)
Power(p.u.)
Total electrical power
Electric power
Fig. 10. Total power
without strong transient states.
APPENDIX
The parameters used to model the turbine can be find in
Table II.
TABLE II
PARAMETERS OF TURBINE
Inertia 16 105 kg m2 Gear ratio 65.27 c2 116 c7 21Radius 37.5 m c1 0.5 c6 5 c9 0.035
ACKNOWLEDGMENT
This work was supported by the Ministerio de Ciencia e
Innovacion under the project ENE2009-08555.
10 11 12 13 14 15 16 17 18 19 20134
136
138
140
142
144
146
148
time(s)
An
gularspeed(rad/s)
Angular speed
Generator1
Generator2
Generator3
Electrical angular speed
Fig. 11. Mechanical and electrical speeds
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