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Page 1: Control of a Wind Park With Doubly Fed Induction Generators in Support of Power System Stability in Case of Grid Faults

Control of a wind park with doubly fed induction generators in

support of power system stability in case of grid faults

Gabriele Michalke+, Anca D. Hansen*, Thomas Hartkopf+

+ University of Technology Darmstadt, Department of Renewable Energies,

Institute for Electrical Power Systems,

Landgraf-Georg-Straße 4, 64283 Darmstadt, Germany

* Risø National Laboratory, Wind Energy Department, P.O. Box 49, DK-4000

Roskilde, Denmark

Email: [email protected], [email protected], [email protected]

Abstract

The paper presents a control strategy for wind parks based on the doubly fed induction generator (DFIG) con-

cept, which facilitates fault ride through of large DFIG wind farms and enables them to support the power system

stability. The control system comprises a coordinated reactive power supply by means of the frequency convert-

ers as well as a damping controller in order to damp oscillations in the mechanical system. Simulations are per-

formed by means of a detailed model of the wind park and the transmission grid in the power system simulation

software DIgSILENT Power Factory. The results demonstrate, that the here presented control strategy of DFIG

wind parks even facilitates a fault ride through of nearby connected wind power plants based on conventional

technology.

1 Introduction

Due to the increasing penetration of wind power the power system operators are revising nowa-days the grid codes in several countries, such as in Germany and Denmark [1], [2]. Basically these grid codes require newly installed wind turbines to support directly the power system in case of grid faults. The attention is thus on both, the wind farm’s fault ride through capability and its contribution to grid support. The fault ride through capability is required because a tripping of the large wind turbines in case of grid faults would cause a significant loss of electric power supply.

Focus of this paper is to introduce a control strategy for wind parks based on the doubly fed induc-tion generator (DFIG) concept, which facilitates fault ride through of large DFIG wind farms and enables them to support the power system stability. The variable speed wind turbine with doubly-fed induction generator is recently the most commonly used wind turbine concept and is already applied in large wind parks as e.g. the Danish offshore wind park Horns Rev. The attractiveness of the DFIG for the use in wind turbines is due to the partial scale power con-verter in the rotor circuit causing an important finan-cial advantage compared to generator concepts with full scale converter. The converter system offers also good potentialities for control, which can especially be exploited for fault ride through and grid support purposes. However, the financial advantage turns into a technical disadvantage in case of grid faults, as the partial scale power converter must be protected against high transient currents. The paper presents a control strategy of the DFIG wind turbine based on

[3], which allows fault ride through and facilitates re-active power supply and voltage re-establishment dur-ing grid faults. Furthermore an active damping con-troller is implemented in order to reduce the mechani-cal stresses of the turbine. An aggregated DFIG wind park model serves to analyse the interaction of wind park and power system. The investigations are carried out by means of a comprehensive dynamic simulation model of a DFIG wind park and a transmission system in the software DIgSILENT Power Factory.

2 The DFIG wind turbine con-cept

The system configuration of the DFIG-wind turbine concept is illustrated in Figure 1. Main charac-teristic of this concept is the partial scale power con-verter in the rotor circuit, while the stator is directly connected to the grid via the transformer.

Grid Side

ConverterGenerator Model with Rotor

Side Converter

Transformer Model

External

Grid

Mechanical

Model

vw

ind

Tae

ro

Τm

ech

Wind

Model

Aerodynamic

Model

θwtr

Speed Controller

ωGenerator P

GridQ

Grid

Controlsignaldq

Rotor Side ConverterControl

UDC

QConverter

Controlsignaldq

Grid Side ConverterControl

DFIG

=~

~=

Gear

Overspeed Protection Damping

ωGenerator

Voltage

Contol

UGrid

Reactive PowerBoosting

Crowbarsignal

~ ~ ~

Crowbar

Fault control

Stage II

Control for nor-

mal operation

Stage I

Figure 1 System configuration of the DFIG wind tur-

bine with control structure.

The present investigations are based on the comprehensive dynamic simulation model of the

Page 2: Control of a Wind Park With Doubly Fed Induction Generators in Support of Power System Stability in Case of Grid Faults

DFIG wind turbine concept, developed in the power system simulation software DIgSILENT Power Fac-tory at Risø National Laboratory [4]. DIgSILENT Power Factory makes it possible to investigate the dy-namic performance of grid connected wind turbines as a part of realistic electrical grid models. The electrical components of the system in Figure 1 are available in a DIgSILENT library as built-in blocks. All other parts necessary in the modelling of wind turbines such as wind model, aerodynamic model, mechanical model and a control has to be implemented by the user himself. Figure 1 provides also a quick overview on the control stages of DFIG based wind turbines: Stage I contains the control for normal operation, Stage II incloses the control, which is used in case of grid faults. The control of the DFIG is realized by means of two controllers, the rotor side converter con-troller and the grid side converter controller.

2.1 DFIG normal operation control

In normal operation the aim of the rotor side converter controller is to control active and reactive power independently. The reference active power is provided by a maximum power tracking depending on the actual generator speed, which assures operation with maximum aerodynamic efficiency. During nor-mal operation the reference reactive power is usually set to zero. For high wind speeds the speed of the tur-bine is limited to its rated speed, which implies indi-rectly that the power is limited to its rated value, too. This is realized by means of a speed controller inter-acting with the pitch mechanism. The aim of the grid side converter controller for normal operation is to maintain the DC-link capacitor voltage and to guaran-tee a converter operation with unity power factor. De-tailed explanations about the control concept of the DFIG wind turbine concept for normal operation con-ditions can be found in [5].

3 DFIG fault control

Grid codes for wind turbines, which are specified by transmission system operators, demand, that newly installed wind turbines must not be discon-nected in case of grid faults, as this would mean a dis-connection of a significant amount of electrical power due to the increasing penetration of wind power. Thus, modern wind turbines are required to work as a con-ventional power plant does.

Goal of the following section and main focus of the presented paper is to introduce a control strat-egy, which facilitates fault ride through of large DFIG offshore wind parks and enables the wind park to con-tribute to power system stability support.

In the following protection issues of a DFIG based wind turbine under grid faults are briefly pre-

sented. Then details regarding the implemented fault control strategy are discussed.

3.1 Crowbar protection

In case of grid faults very high short circuit currents arise in the stator. These high transient cur-rents are transferred to the rotor due to the inductive coupling between stator and rotor, implying a high damaging risk for the power electronics of the rotor side converter. Due to this reason a suitable protection of DFIGs is necessary. A simple protection method is to short-circuit the rotor via an external rotor resistant called crowbar (Figure 2) when high rotor currents are detected. The crowbar coupling protects the converter system and facilitates fault ride through, which en-ables the DFIG to contribute to power supply directly after fault clearing. When the crowbar protection is triggered, the rotor side converter is blocked and the DFIG behaves as a squirrel cage induction generator. This implies that the whole controllability of the DFIG is lost during crowbar coupling.

Crowbar

DFIG

=~

~=

~ ~ ~

Rotor Side

Converter

Grid Side

Converter

Gear

External Grid

Figure 2 3-phase short circuit at the point of common

coupling of the DFIG.

3.2 Overspeed protection

A short circuit, as illustrated in Figure 2, causes a voltage drop at the generator terminal, which in turn provokes an active power drop in the stator. As this reduces the electrical torque, too, the generator starts to accelerate. Because the DFIG behaves as a squirrel cage induction machine as long as the crow-bar is triggered, the acceleration causes an increased reactive power consumption of the generator. Both, increased speed and increased reactive power demand have a negative impact on power system stability. Thus, it is necessary to prohibit a too strong accelera-tion by means of an overspeed protection. The pitch controller implemented in the presented model con-trols the generator speed and therefore it can directly be used as an overspeed protection. The pitch controller reacts to the acceleration of the drive train, which is due to the grid fault, and increases the pitch angle. The absorbed aerodynamic power of the turbine can so be reduced, which coun-teracts the acceleration process

Page 3: Control of a Wind Park With Doubly Fed Induction Generators in Support of Power System Stability in Case of Grid Faults

3.3 Damping control

In stability analysis, as e.g. for stability inves-tigations in case of grid faults, it is essential to ap-proximate the drive train system by at least a two mass model [6]. The mechanical model implemented in the presented simulation model represents the large tur-bine mass connected via a flexible shaft to the much smaller generator mass. The transmission between the slowly rotating rotor and the fast rotating generator is modelled with an ideal gearbox. The low-speed shaft is characterised by a stiffness k and a damping c, while the high-speed shaft is assumed to be stiff. Thus, in case of grid faults the drive train behaves as a torsion spring, which is untwisted, due to the drop of the elec-trical torque in the generator. Because of this, heavy oscillations are excited in the mechanical system. In order to reduce the big mechanical stresses on the tur-bine, a damping controller (Figure 1) is implemented, which actively damps the speed fluctuations acting on the active power control.

In order to verify the developed damping control a 3-phase short circuit at the point of common coupling of the DFIG wind turbine (Figure 2) is simu-lated. The short circuit happens at 0s and has a dura-tion of 300ms. The DFIG wind turbine is connected to a grid, which is modelled as a Thevenin equivalent and the wind speed is kept constant during the simula-tion.

Figure 3 depicts the performance of the damping controller. It shows the signals of rotor speed and mechanical torque. Since the mechanical quanti-ties have bigger time constants than the electrical quantities, the fault response is much longer in the mechanical system. Thus, the mechanical signals are plotted for 10s although the fault clearing already happens at 300ms.

10.007.6005.2002.8000.40-2.000 [s]

1.82

1.80

1.78

1.76

1.74

1.72

1.70

DIg

SIL

EN

T

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3.0E+4

2.0E+4

1.0E+4

0.0E+0

-1.0E+4

Figure 3 Performance of the damping controller

Without the damping controller, the torsional oscilla-tions are only slightly damped 10s after the grid fault. It is clearly visible that the oscillations decay very fast due to the included damping controller. Moreover the mechanical torque crosses only once through zero when the damping controller is used, which signifi-cantly reduces the mechanical stresses of the turbine.

3.4 Voltage control of the rotor side converter

In order to utilize the good controllability of the DFIG for grid support in case of faults, the rotor side con-verter control is extended by a voltage control block. This controller regulates the voltage at point of com-mon coupling (PCC) of the wind turbine or the wind park by adjusting the reactive power supply. The gen-erator can so optionally provide inductive or capaci-tive reactive power. This can e.g. be utilized during reactive power imbalance in the system, when an in-ductive load or generation unit is coupled to the grid. During grid faults, as long as the crowbar is not trig-gered, the voltage controller can provide reactive power, which serves to re-establish the voltage level.

Since the rotor side converter controller con-trols the reactive power, which is fed into the grid via the stator circuit, this converter can compensate a big-ger reactive power demand than the grid side con-verter. Thus, the goal of the here presented control strategy is to control the reactive power demand mainly by means of the rotor side converter, while this task is only temporarily assigned to the grid side con-verter, when the rotor side converter is blocked by the crowbar. It is therefore necessary to develop a coordi-nated voltage control and reactive power supply be-tween both converters [7].

Figure 4 illustrates as an example the voltage signal at the point of common coupling of the DFIG after an inductive load is connected to the grid. The voltage drops slightly below 1 p.u. due to the reactive power demand of the inductive load. The voltage re-mains at the reduced level when no voltage control by the rotor side converter is enabled (dashed line). However, by use of the voltage controller, the voltage can fast be re-established (solid line) and the reactive power demand of the inductive load can be met.

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1.00

0.99

0.98

0.97

0.96

DIg

SIL

EN

T

Figure 4 Performance of the rotor side converter volt-

age controller after inductive load coupling

3.5 Reactive power boosting of the grid side converter

In contrast to the rotor side converter the grid side converter can stay active during grid faults, when the rotor side converter is blocked by the crowbar. The grid side converter can then be used as a STATCOM and contribute supplementary to reactive power sup-ply. As shown in Figure 1 a reactive power boosting is implemented, which provides a reference reactive power signal to the grid side converter control. The reference reactive power for the grid side converter is set to its limits (+/-1 p.u.), so that the converter con-

Inductive load coupling

Ro

tor

spee

d [

rad

/s]

Mec

h.

torq

ue

[Nm

]

With damping controller Without damping controller

With voltage controller Without voltage controller

Vo

ltag

e at

PC

C [

p.u

.]

time [s]

time [s]

Page 4: Control of a Wind Park With Doubly Fed Induction Generators in Support of Power System Stability in Case of Grid Faults

tributes always with its maximum reactive power to voltage re-establishment.

Figure 5 illustrates the signals of voltage at the point of common coupling (PCC) and the reactive power contribution of the grid side converter during a 3-phase short circuit at the PCC. The fault has a dura-tion of 300ms and is followed by crowbar coupling in the DFIG´s rotor circuit. After fault clearing the crow-bar is still active for 100ms. In Figure 5 a) the voltage is plotted for two cases: with and without reactive power boosting of the grid side converter. During crowbar coupling the grid side converter, working like a STATCOM, can contribute to reactive power supply and improve the voltage level. Figure 5 b) compares the reactive power, which is provided by the grid side converter, with the reference reactive power. In this case the reference power of the reactive power boost-ing is set to –1p.u., which denotes that the grid side converter must feed its maximum possible reactive power into the grid. However, since the voltage level is significantly reduced during the fault, the grid side converter’s reactive power production capability is also reduced. It can be seen in Figure 5 b), that the reference reactive power cannot be provided during the fault. After fault clearing and thus after the voltage at the converter terminals has re-established, the grid side converter is able to provide the reference reactive power to the grid.

0.700.540.380.220.06-0.100 [s]

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1.00

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T

a)

b)

Volt

age

at P

CC

[p

.u.]

Gri

d s

ide

conv

erte

rre

acti

ve

pow

er [

p.u

.]

Fault incident

Crowbar coupling

Fault clearing Crowbar deactivated

With reactive power boosting Without reactive power boosting

Reference reative power

time [s]

Figure 5 Performance of the grid side converter reac-

tive power boosting

a) Voltage at the point of common coupling (PCC)

b) Reactive power boosting of the grid side converter

4 Simulation model

The implemented control strategy for doubly fed in-duction generator based wind turbines in support of power system stability in case of grid faults is ana-lysed in the following by means of an aggregated wind park model of a large offshore wind park, which is connected to a generic transmission system model.

4.1 Aggregated wind park model

The wind park model represents a large offshore wind farm consisting of 80 2MW DFIG wind turbines, in which all wind park turbines are combined to an ag-gregated wind park model. The aggregation method reduces the complexity and simulation time without compromising the accuracy of the simulation results [8] and is thus commonly used for system studies con-cerning the impact of large wind farms on the power system. This paper uses the aggregation approach pre-sented in [8]. The 80 turbines are aggregated to one equivalent lumped wind turbine with rescaled power capacity according to the entire wind farm power. DIgSILENT Power Factory provides a direct built-in aggregation technique for the electrical system. The generator and the transformer can be directly mod-elled by a certain number of parallel machines, while the other components, as e.g. the power converter or the mechanical power of the turbine rotor have to be upscaled according to the wind farm power.

4.2 Transmission grid model

In order to investigate the impact of the large offshore wind farm on the power system, a generic simplified transmission system, is implemented in the software DIgSILENT Power Factory (Figure 6). The transmis-sion model is based on a model, developed and pro-vided by the Danish transmission system operator En-erginet.dk [9]. The model embodies a generic repre-sentative transmission network and serves to simulate a realistic interaction between wind park and trans-mission grid during grid faults.

The transmission system contains models for four central power plants and their control, several load centres and an aggregated model for local wind turbines with conventional technology based on asyn-chronous generators (Danish Concept). The transmis-sion system model described in [9] is slightly modi-fied in this paper. A 160 MW offshore wind park composed of exclusively DFIG wind turbines is used instead of the active stall wind farm of the original model.

Page 5: Control of a Wind Park With Doubly Fed Induction Generators in Support of Power System Stability in Case of Grid Faults

DFIG Offshore Wind Park

Load Centre

PCC

Local Wind Turbines

based on conventional

technology

L

L

135kV

Central Power Plant

L L

SG

SG

SG SG

135kV

135kV 135kV

400kV400kV 400kV

135kV1400MW

500MW

1500MW

160MW

WFT

750MW 2500MW

Figure 6 Simplified illustration of the transmission sys-

tem model.

5 Grid support of large wind farms

In this section the developed control strategy of the DFIG wind turbine is assessed and analysed by means of simulations. A worst-case scenario is simu-lated in order to demonstrate the ability of the pre-sented control strategy of the DFIG wind park in terms of grid support during faults. A 3-phase short circuit at the PCC (see Figure 6) with a duration of 300ms is performed. In the moment of the fault, the wind farm is assumed to work at its rated conditions. Due to its location close to the wind farm and its long duration, the fault scenario denotes a severe fault and critical situation for the grid and the coupled wind turbines. The simulation results are shown in Figure 7:

• The voltage at the point of common coupling (PCC)

• The voltage at the wind farm terminal (WFT)

• The active and reactive power of one representative turbine of the DFIG wind park

• The generator speed of a local wind turbine Two simulations can be compared in Figure 7:

• Case I (dashed line) shows the results without fault control strategy of the DFIG wind farm

• Case II (solid line) shows the results with fault con-trol strategy of the DFIG wind farm

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the

PC

C [

p.u

.]

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Wind turbine of the DFIG offshore wind park

Vo

ltag

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th

e W

FT

[p

.u.]

Crowbar deactivated

Reactive power supply of therotor side converter

Case II

Reactive power boosting ofthe grid side converter

Case II

Po

wer

[M

W]

Rea

ctiv

e p

ow

er [

MV

ar]

Crowbar coupling

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Local wind turbine

Gen

erat

or

spee

d [

p.u

.]

Case I : DFIG wind park without fault control

Case II : DFIG Windpark with fault control

time [s]

Figure 7 Simulation results after a 3-phase short cir-

cuit at the PCC

The short circuit causes a significant voltage drop at the PCC and at the wind farm terminal. This implies a drop in the generator’s active power produc-tion. Due to the arising high transient currents the crowbar is coupled directly after the fault incident. The voltage drop causes also a reduction of the flux in the DFIG and the generator is demagnetized. In Figure 7 the demagnetisation is visible as a reactive power peak in the moment of the fault. Because of the active power drop, which causes a reduction of the electro-magnetic torque, the induction generators of the local wind turbines start to accelerate. It can be found in case I that heavy generator speed fluctuations are ex-cited in the conventional (local) wind turbines. These fluctuations are transferred to the voltage at the PCC. After the fault is cleared, the reactive power demand of the asynchronous generators of the local wind tur-bines has increased due to the acceleration. Moreover, also the DFIG wind park consumes reactive power during crowbar coupling, which influences the voltage re-establishment negatively. A tripping of the local wind turbines during grid faults, as it is common prac-

Page 6: Control of a Wind Park With Doubly Fed Induction Generators in Support of Power System Stability in Case of Grid Faults

tice for conventional wind turbines today, is justifiable in this case. However, the tripping causes a significant loss of active power production, as the conventional wind turbines cannot immediately be reconnected af-ter the fault is cleared.

In contrast to case I, case II shows the results, which could be achieved, when the wind park is equipped with the new developed control strategy in the simulated fault case. As soon as the crowbar is connected, the reactive power boosting of the grid side converter is activated, which improves the volt-age level during the fault. The active power signal has a similar characteristic in both cases. However, an im-proved voltage level causes an improvement of the active power, too. After crowbar decoupling, the volt-age control of the rotor side converter starts to work. Figure 7 depicts the reactive power supply of the total wind park so that the voltage can much faster be re-established. This has a positive impact on the behav-iour of the local wind turbines with conventional tech-nique, too. The speed fluctuations are significantly reduced due to the control system of the DFIG wind park.

The simulation results of case II show, that a tripping of the local wind turbines is no longer neces-sary if the DFIG is equipped with the developed con-trol strategy. The control system of the nearby con-nected DFIG wind farm even facilitates a fault ride through of the conventional wind turbines. A signifi-cant loss of active power production can so be avoided. Since the simulated grid fault can be under-stood as a worst-case scenario, it can be concluded, that the developed control strategy will also have a positive impact in case of other grid faults. It has been shown, that a large DFIG wind farm equipped with the here presented control strategy can support the power system stability.

6 Conclusion

This paper presents a control strategy of large wind farms equipped with doubly-fed induction generators (DFIG), which serves to improve the behaviour of a DFIG wind farm during grid faults and enables it to contribute to power system stability support. The con-trol strategy is based on the design of a proper coordi-nation between three controllers: the damping control-ler, the rotor side converter voltage controller and the reactive power boosting of the grid side converter. A damping controller damps the mechanical oscillations excited by grid faults. The grid voltage is controlled by the rotor side converter as long as it is not blocked by the protection system, otherwise the grid side con-verter is taking over the voltage control. A damage of the converter system due to too high fault currents is prevented by the crowbar protection. Simulation re-sults in DIgSILENT Power Factory exemplify how DFIG wind farms with such control strategy partici-pate to re-establish the voltage during grid faults. The

control can even improve the behaviour of local wind turbines with conventional technology under grid faults, which are connected in vicinity to the DFIG offshore wind farm. A disconnection of the conven-tional wind turbines in case of grid faults is not neces-sary anymore. This means, that significant power losses due to disconnection under grid faults could be avoided. The presented control strategy facilitates fault ride through of DFIG wind farms and even en-ables them to improve the power system stability in case of grid faults.

7 Literature

[1] E.ON. Netz GmbH, “Netzanschlussregeln,

Hoch- und Höchstspannung“, www.eon-

netz.com, 2006.

[2] Energinet.dk, “Wind Turbines Connected to

Grids with Voltage above 100kV“, Technical

regulation TF 3.2.5, www.energinet.dk

[3] Akhmatov V., “Variable-speed wind turbines

with doubly-fed induction generators. Part IV:

Uninterrupted operation features at grid faults

with converter control coordination”, Wind En-

gineering, Vol. 27, Nr. 6, 2003.

[4] Hansen A.D., Jauch C., Sørensen P., Iov F.,

Blaabjerg F., ”Dynamic wind turbine models in

power system simulation tool DIgSILENT”,

Risoe Report R-1400(EN), Risø National Labo-

ratory, Denmark, 2003.

[5] Gail G., Hansen A.D., Hartkopf T., “Controller

design and analysis of a variable speed wind tur-

bine with doubly-fed induction generator”, Con-

ference Paper, European Wind Energy Confer-

ence Athen, Greece, 2006.

[6] Akhmatov V., “Analysis of Dynamic Behaviour

of Electric Power Systems with Large Amount of

Wind Power”, PhD thesis, Ørestad-DTU, Den-

mark, 2003.

[7] Hansen A.D., Michalke G., Sørensen P., Lund T.,

Iov F., “Co-ordinated voltage control of DFIG

wind turbines in uninterrupted operation during

grid faults”, submitted to Wind Energy, 2006.

[8] Pöller M., Achilles S., “Aggregated Wind Park

Models for Analyzing Power System Dynamics”,

Forth International Workshop on Large Scale In-

tegration of Wind Power and Transmission Net-

works, 20th and 21st October, Denmark, 2003.

[9] Akhmatov V., Nielsen A., “A small test model for

the transmission grid with a large offshore wind

farm for education and research at Technical

University of Denmark.”, Wind Engineering, Vol

3, No. 3, 2006.