The document presents two modified control schemes for grid-connected doubly fed induction generators (DFIG) under unbalanced voltage dips. The proposed schemes use PI controllers with anti-windup to determine the commanded rotor currents for active and reactive power control. Notch filters are used to eliminate current harmonics and improve torque stability. One scheme uses PWM current control while the other uses hysteresis current control. Simulations show the proposed methods enhance torque response stability and improve current waveforms compared to traditional control methods under unbalanced voltage dips.
WAMS-Based SSR Damping Controller Design for FACTS Devices and Investigating ...IJPEDS-IAES
Recent technological progresses in the wide-area measurement systems
(WAMS) are realizing the centralized controls as a breakthrough for
improving the power systems stability. The most challenging deficiency
against WAMS technology is related to communication delays. If this latency
is neglected, it can deteriorate the damping performance of closed loop
control or even degrade the system stability. This paper investigates a
conventional Wide Area Damping Controller (WADC) for a static
synchronous series compensator (SSSC) to damp out the Sub-Synchronous
Resonance (SSR) and also investigation of the destructive effect of time
delay in remote feedback signal. A new optimization algorithm called
teaching-learning-based- optimization (TLBO) algorithm has been
implemented to normalize and optimize the parameters of the global SSR
damping controller. The IEEE Second Benchmark Model is considered as the
system under study and all simulations are carried out in
MATLAB/SIMULINK environment.
Controller Design and Load Frequency Control for Single Area Power System wit...IJERA Editor
The performance of power systems gets worsening due to the presence of sudden load changes, uncertainties of
parameters etc. Therefore the design of load frequency control is very important in the modern power systems.
This paper presents LFC control technique to reject the typical disturbance as well as control the large-scale
system problems. Parameter uncertainty and load disturbance approach has been proposed to LFC design on the
purpose of rejection of typical disturbances. This paper presents the model order reduction technique of Transfer
function of the single area power system by using Routh approximation. The Second-order reduced system
model has proposed instead of full order system to effectively improve the performance of the closed loop
system. This entire approach is simulated in MATLAB environment for a single –area power system. In
addition to this the reduced order power system is converted into digital domain for digital implementation of
load frequency controller.
Basically, the direct torque control (DTC) drive system is operated at light load. At light load, supplying the drive system with rated flux will decrease the efficiency of the system. To maximize the efficiency of drive system, an optimal flux has been applied during steady-state but when a torque is suddenly needed, for example during acceleration, the dynamic of the torque response would be degraded. Therefore, a modification to the voltage vector as well as look-up table has been proposed for the torque response improvement. The proposed voltage vector is generated by adding two adjacent conventional voltage vectors and implemented by using duty ratio. The duty ratio is used to estimate the activation time of each conventional voltage vector in order to produce the proposed voltage vector.
Self-Tuning Fuzzy Based PI Controller for DFIM Powered by Two Matrix ConvertersIJPEDS-IAES
This paper presents a study of the Doubly Fed Induction Machine (DFIM) powered by two matrix converters; one connected to the stator windings and the other connected to the rotor windings. First, the mathematical model of DFIM and those of the matrix converters are developed. Then, the vector control technique is applied to the DFIM. Fuzzy logic is used in order to automatically adjust the parameters of the PI controller. The performance of this structure under different operating conditions is studied. Particular interest is given to the robustness of the fuzzy logic based control. The operation of the DFIM under overload conditions is also examined. Simulation results obtained in MATLAB/Simulink environment are presented and discussed.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
WAMS-Based SSR Damping Controller Design for FACTS Devices and Investigating ...IJPEDS-IAES
Recent technological progresses in the wide-area measurement systems
(WAMS) are realizing the centralized controls as a breakthrough for
improving the power systems stability. The most challenging deficiency
against WAMS technology is related to communication delays. If this latency
is neglected, it can deteriorate the damping performance of closed loop
control or even degrade the system stability. This paper investigates a
conventional Wide Area Damping Controller (WADC) for a static
synchronous series compensator (SSSC) to damp out the Sub-Synchronous
Resonance (SSR) and also investigation of the destructive effect of time
delay in remote feedback signal. A new optimization algorithm called
teaching-learning-based- optimization (TLBO) algorithm has been
implemented to normalize and optimize the parameters of the global SSR
damping controller. The IEEE Second Benchmark Model is considered as the
system under study and all simulations are carried out in
MATLAB/SIMULINK environment.
Controller Design and Load Frequency Control for Single Area Power System wit...IJERA Editor
The performance of power systems gets worsening due to the presence of sudden load changes, uncertainties of
parameters etc. Therefore the design of load frequency control is very important in the modern power systems.
This paper presents LFC control technique to reject the typical disturbance as well as control the large-scale
system problems. Parameter uncertainty and load disturbance approach has been proposed to LFC design on the
purpose of rejection of typical disturbances. This paper presents the model order reduction technique of Transfer
function of the single area power system by using Routh approximation. The Second-order reduced system
model has proposed instead of full order system to effectively improve the performance of the closed loop
system. This entire approach is simulated in MATLAB environment for a single –area power system. In
addition to this the reduced order power system is converted into digital domain for digital implementation of
load frequency controller.
Basically, the direct torque control (DTC) drive system is operated at light load. At light load, supplying the drive system with rated flux will decrease the efficiency of the system. To maximize the efficiency of drive system, an optimal flux has been applied during steady-state but when a torque is suddenly needed, for example during acceleration, the dynamic of the torque response would be degraded. Therefore, a modification to the voltage vector as well as look-up table has been proposed for the torque response improvement. The proposed voltage vector is generated by adding two adjacent conventional voltage vectors and implemented by using duty ratio. The duty ratio is used to estimate the activation time of each conventional voltage vector in order to produce the proposed voltage vector.
Self-Tuning Fuzzy Based PI Controller for DFIM Powered by Two Matrix ConvertersIJPEDS-IAES
This paper presents a study of the Doubly Fed Induction Machine (DFIM) powered by two matrix converters; one connected to the stator windings and the other connected to the rotor windings. First, the mathematical model of DFIM and those of the matrix converters are developed. Then, the vector control technique is applied to the DFIM. Fuzzy logic is used in order to automatically adjust the parameters of the PI controller. The performance of this structure under different operating conditions is studied. Particular interest is given to the robustness of the fuzzy logic based control. The operation of the DFIM under overload conditions is also examined. Simulation results obtained in MATLAB/Simulink environment are presented and discussed.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
QFT Based Controller Design of Thyristor-Controlled Phase Shifter for Power S...IJRESJOURNAL
ABSTRACT: This paper presents the automatic design method for a thyristor-controlled phase shifter (TCPS) controller based on quantitative feedback theory (QFT) to improve power system stability in spite of system uncertainties and various disturbances. A genetic algorithm (GA) in a loop shaping state of QFT design has been used to design the TCPS controller satisfying all QFT bounds without repetition of a manual try and error. The proposed performance index in GA has been composed of the QFT bounds and the damping ratio. To verify control performance of the proposed TCPS controller based on QFT using GA, the closed loop eigenvalue and the damping of power system have been analyzed and nonlinear simulations for a single machine infinite bus system have been performed under various disturbances for various operating conditions. The control characteristics of the proposed TCPS controller have been compared with that of the conventional power system stabilizer (PSS) and conventional TCPC controller. The simulation results show that the proposed TCPS controller provided better dynamic responses in comparison with the conventional PSS and TCPS controller.
Performance Analysis of a DTC and SVM Based Field- Orientation Control Induct...IJPEDS-IAES
This study presents a performance analysis of two most popular control strategies for Induction Motor (IM) drives: direct torque control (DTC) and space vector modulation (SVM) strategies. The performance analysis is done by applying field-orientation control (FOC) technique because of its good dynamic response. The theoretical principle, simulation results are discussed to study the dynamic performances of the drive system for individual control strategies using actual parameters of induction motor. A closed loop PI controller scheme has been used. The main purpose of this study is to minimize ripple in torque response curve and to achieve quick speed response as well as to investigate the condition for optimum performance of induction motor drive. Depending on the simulation results this study also presents a detailed comparison between direct torque control and space vector modulation based field-orientation control method for the induction motor drive.
Comparative Performance Study for Closed Loop Operation of an Adjustable Spee...IJPEDS-IAES
In this paper an extensive comparative study is carried out between PI
and PID controlled closed loop model of an adjustable speed Permanent
Magnet Synchronous Motor (PMSM) drive. The incorporation of Sinusoidal
Pulse Width Modulation (SPWM) strategy establishes near sinusoidal
armature phase currents and comparatively less torque ripples without
sacrificing torque/weight ratio. In this closed loop model of PMSM drive, the
information about reference speed is provided to a speed controller, to ensure
that actual drive speed tracks the reference speed with ideally zero steady
state speed error. The entire model of PMSM closed loop drive is divided
into two loops, inner loop current and outer loop speed. By taking the
different combinations of two classical controllers (PI & PID) related with
two loop control structure, different approximations are carried out. Hence a
typical comparative study is introduced to familiar with the different
performance indices of the system corresponding to time domain and
frequency domain specifications. Therefore overall performance of closed
loop PMSM drive is tested and effectiveness of controllers will be
determined for different combinations.
Simulation and Analysis of Modified DTC of PMSMIJECEIAES
This research paper describes the simulation and analysis of the modified DTC for Surface mounted Permanent Magnet Synchronous Motor (SPMSM) using PI controller. Among all of the various drive systems,PMSM is widely used for accurate speed and torque control, with greater efficiency, superior torque to inertia and high power density.The Conventional DTC secheme widely used for this purpose but it is failed to achieve desirable performance of the system for which the modified DTC secheme is propsed.The modified DTC algorithm controls the voltage vectors, directly from a simple look up table depending on outcome of the torque and indirectly flux controllers.The overall drive system can be implemented in SIMULINK/MATLAB environment.The modified DTC is validated with loading conditions.The simulated results are focused on the speed, settling time at loaded conditions, torque and flux linkages ripple and THD in the phase current for modified DTC applied to SPMSM.
Review of the DTC Controller and Estimation of Stator Resistance in IM DrivesIAES-IJPEDS
In recent years an advanced control method called direct torque control
(DTC) has gained importance due to its capability to produce fast torque
control of induction motor. Although in these systems such variables as
torque, flux modulus and flux sector are required, resulting DTC structure is
particularly simplistic. Conventional DTC does not require any mechanical
sensor or current regulator and coordinate transformation is not present, thus
reducing the complexity. Fast and good dynamic performances and
robustness has made DTC popular and is now used widely in all industrial
applications. Despite these advantages it has some disadvantages such as
high torque ripple and slow transient response to step changes during start
up. Torque ripple in DTC is because of hysteresis controller for stator flux
linkage and torque. The ripples can be reduced if the errors of the torque and
the flux linkage and the angular region of the flux linkage are subdivided into
several smaller subsections. Since the errors are divided into smaller sections
different voltage vector is selected for small difference in error, thus a more
accurate voltage vector is selected and hence the torque and flux linkage
errors are reduced. The stator resistance changes due to change in
temperature during the operation of machine. At high speeds, the stator
resistance drop is small and can be neglected. At low speeds, this drop
becomes dominant. Any change in stator resistance gives wrong estimation
of stator flux and consequently of the torque and flux. Therefore, it is
necessary to estimate the stator resistance correctly. This paper aims to
review some of the control techniques of DTC drives and stator resistance
estimation methods.
This paper reports on the design and implementation in DSP as hardware in the loop of a nonlinear control strategy for a grid-connected variable speed wind turbine using a doubly fed induction generator (DFIG). The objective of this work is to build a real-time nonlinear hybrid approach combining Backstepping control and sliding mode control strategies for DFIG used in wind energy conversion systems (WECS). The results of the DSP implementation are discussed and qualitative and quantitative performance evaluations are performed under various disturbed conditions. The implementation is performed using the TMS320F28335 DSP combined with the MATLAB/Simulink (2016a) environment. The experimental results have been satisfactorily achieved, which implies that the proposed strategy is an efficient and robust approach to monitor the WECS.
Damping of Inter-Area Low Frequency Oscillation Using an Adaptive Wide-Area D...Power System Operation
This paper presents an adaptive wide-area damping controller (WADC) based on
generalized predictive control (GPC) and model identification for damping the inter-area low
frequency oscillations in large-scale inter-connected power system. A recursive least-squares algorithm
(RLSA) with a varying forgetting factor is applied to identify online the reduced-order linearlized
model which contains dominant inter-area low frequency oscillations. Based on this linearlized model,
the generalized predictive control scheme considering control output constraints is employed to obtain
the optimal control signal in each sampling interval. Case studies are undertaken on a two-area fourmachine
power system and the New England 10-machine 39-bus power system, respectively.
Simulation results show that the proposed adaptive WADC not only can damp the inter-area
oscillations effectively under a wide range of operation conditions and different disturbances, but also
has better robustness against to the time delay existing in the remote signals. The comparison studies
with the conventional lead-lag WADC are also provided.
FLC-Based DTC Scheme for a New Approach of Two-Leg VSI Fed Induction MotorIJERA Editor
A new Direct Torque Control (DTC) strategy for Induction Motor (IM) drive fed by a two leg three phase
inverter (i.e., Four switches are used in VSI) was proposed in this paper. The proposed methodology is based on
the emulation of operation of the conventional Six-switch three phase inverter. The combination of four
unbalanced voltage vectors is generated by the two-leg three phase inverter, approaching to the synthesis of the
six balanced voltage vectors of the conventional DTC. This approach has been implemented in the design of the
vector selection table of the proposed DTC strategy. Further, Fuzzy Logic Controller (FLC) is proposed in the
speed controller for the improvement of torque ripples. Convention DTC with Six Switch three phase VSI, twoleg
three phase VSI with PI and Fuzzy Controller are implemented using MATLAB/SIMULINK. Simulation
results have shown that the proposed DTC strategy, two-leg inverter fed IM drive revealed an improved
performance.
The speed of a DC motor can be controlled by varying the voltage applied to the terminal. It can be done by controlling a PWM-VSC (PWM-Voltage Source Converter). This paper analyzes an control strategy of PWM-VSC using fuzzy logic to obtain varying DC voltage and according to the DC motor speed as desired. The control strategy of PWM-VSC directly using the switch variable in dq rotating reference frame as input variables. The fuzzy logic controller proposes to get a DC voltage variation stable by adjusting amplitudo of the network current. The simulation Fuzzy Logic Controller results show that the design fuzzy logic produce a good dynamic of DC voltage and DC motor speed without overshoot. On the network, Total Harmonic Distortion less than 5 % and unity power factor.
OPTIMAL TORQUE RIPPLE CONTROL OF ASYNCHRONOUS DRIVE USING INTELLIGENT CONTROL...elelijjournal
The dynamic performance of an asynchronous machine when operated with cascaded Voltage Source Inverter using Space Vector Modulation (SVM) technique is presented in this paper. A classical model of Induction Motor Drive based on Direct Torque Control (DTC) method is considered which displays
appreciable run-time operation with very simple hysteresis control scheme. Direct control of the torque and flux variables is achieved by choosing suitable inverter voltage space vector from a lookup table. Under varying torque conditions the performance of the drive system is verified using MATLAB/Simulink software tool. The ripple content in the torque parameter is significant when traditional PI controller and Fuzzy approach are configured in the proposed system. Finally, by replacing the PI-Fuzzy controller with Hybrid Controller the torque ripple minimization can be achieved during no-load and loaded conditions.
QFT Based Controller Design of Thyristor-Controlled Phase Shifter for Power S...IJRESJOURNAL
ABSTRACT: This paper presents the automatic design method for a thyristor-controlled phase shifter (TCPS) controller based on quantitative feedback theory (QFT) to improve power system stability in spite of system uncertainties and various disturbances. A genetic algorithm (GA) in a loop shaping state of QFT design has been used to design the TCPS controller satisfying all QFT bounds without repetition of a manual try and error. The proposed performance index in GA has been composed of the QFT bounds and the damping ratio. To verify control performance of the proposed TCPS controller based on QFT using GA, the closed loop eigenvalue and the damping of power system have been analyzed and nonlinear simulations for a single machine infinite bus system have been performed under various disturbances for various operating conditions. The control characteristics of the proposed TCPS controller have been compared with that of the conventional power system stabilizer (PSS) and conventional TCPC controller. The simulation results show that the proposed TCPS controller provided better dynamic responses in comparison with the conventional PSS and TCPS controller.
Performance Analysis of a DTC and SVM Based Field- Orientation Control Induct...IJPEDS-IAES
This study presents a performance analysis of two most popular control strategies for Induction Motor (IM) drives: direct torque control (DTC) and space vector modulation (SVM) strategies. The performance analysis is done by applying field-orientation control (FOC) technique because of its good dynamic response. The theoretical principle, simulation results are discussed to study the dynamic performances of the drive system for individual control strategies using actual parameters of induction motor. A closed loop PI controller scheme has been used. The main purpose of this study is to minimize ripple in torque response curve and to achieve quick speed response as well as to investigate the condition for optimum performance of induction motor drive. Depending on the simulation results this study also presents a detailed comparison between direct torque control and space vector modulation based field-orientation control method for the induction motor drive.
Comparative Performance Study for Closed Loop Operation of an Adjustable Spee...IJPEDS-IAES
In this paper an extensive comparative study is carried out between PI
and PID controlled closed loop model of an adjustable speed Permanent
Magnet Synchronous Motor (PMSM) drive. The incorporation of Sinusoidal
Pulse Width Modulation (SPWM) strategy establishes near sinusoidal
armature phase currents and comparatively less torque ripples without
sacrificing torque/weight ratio. In this closed loop model of PMSM drive, the
information about reference speed is provided to a speed controller, to ensure
that actual drive speed tracks the reference speed with ideally zero steady
state speed error. The entire model of PMSM closed loop drive is divided
into two loops, inner loop current and outer loop speed. By taking the
different combinations of two classical controllers (PI & PID) related with
two loop control structure, different approximations are carried out. Hence a
typical comparative study is introduced to familiar with the different
performance indices of the system corresponding to time domain and
frequency domain specifications. Therefore overall performance of closed
loop PMSM drive is tested and effectiveness of controllers will be
determined for different combinations.
Simulation and Analysis of Modified DTC of PMSMIJECEIAES
This research paper describes the simulation and analysis of the modified DTC for Surface mounted Permanent Magnet Synchronous Motor (SPMSM) using PI controller. Among all of the various drive systems,PMSM is widely used for accurate speed and torque control, with greater efficiency, superior torque to inertia and high power density.The Conventional DTC secheme widely used for this purpose but it is failed to achieve desirable performance of the system for which the modified DTC secheme is propsed.The modified DTC algorithm controls the voltage vectors, directly from a simple look up table depending on outcome of the torque and indirectly flux controllers.The overall drive system can be implemented in SIMULINK/MATLAB environment.The modified DTC is validated with loading conditions.The simulated results are focused on the speed, settling time at loaded conditions, torque and flux linkages ripple and THD in the phase current for modified DTC applied to SPMSM.
Review of the DTC Controller and Estimation of Stator Resistance in IM DrivesIAES-IJPEDS
In recent years an advanced control method called direct torque control
(DTC) has gained importance due to its capability to produce fast torque
control of induction motor. Although in these systems such variables as
torque, flux modulus and flux sector are required, resulting DTC structure is
particularly simplistic. Conventional DTC does not require any mechanical
sensor or current regulator and coordinate transformation is not present, thus
reducing the complexity. Fast and good dynamic performances and
robustness has made DTC popular and is now used widely in all industrial
applications. Despite these advantages it has some disadvantages such as
high torque ripple and slow transient response to step changes during start
up. Torque ripple in DTC is because of hysteresis controller for stator flux
linkage and torque. The ripples can be reduced if the errors of the torque and
the flux linkage and the angular region of the flux linkage are subdivided into
several smaller subsections. Since the errors are divided into smaller sections
different voltage vector is selected for small difference in error, thus a more
accurate voltage vector is selected and hence the torque and flux linkage
errors are reduced. The stator resistance changes due to change in
temperature during the operation of machine. At high speeds, the stator
resistance drop is small and can be neglected. At low speeds, this drop
becomes dominant. Any change in stator resistance gives wrong estimation
of stator flux and consequently of the torque and flux. Therefore, it is
necessary to estimate the stator resistance correctly. This paper aims to
review some of the control techniques of DTC drives and stator resistance
estimation methods.
This paper reports on the design and implementation in DSP as hardware in the loop of a nonlinear control strategy for a grid-connected variable speed wind turbine using a doubly fed induction generator (DFIG). The objective of this work is to build a real-time nonlinear hybrid approach combining Backstepping control and sliding mode control strategies for DFIG used in wind energy conversion systems (WECS). The results of the DSP implementation are discussed and qualitative and quantitative performance evaluations are performed under various disturbed conditions. The implementation is performed using the TMS320F28335 DSP combined with the MATLAB/Simulink (2016a) environment. The experimental results have been satisfactorily achieved, which implies that the proposed strategy is an efficient and robust approach to monitor the WECS.
Damping of Inter-Area Low Frequency Oscillation Using an Adaptive Wide-Area D...Power System Operation
This paper presents an adaptive wide-area damping controller (WADC) based on
generalized predictive control (GPC) and model identification for damping the inter-area low
frequency oscillations in large-scale inter-connected power system. A recursive least-squares algorithm
(RLSA) with a varying forgetting factor is applied to identify online the reduced-order linearlized
model which contains dominant inter-area low frequency oscillations. Based on this linearlized model,
the generalized predictive control scheme considering control output constraints is employed to obtain
the optimal control signal in each sampling interval. Case studies are undertaken on a two-area fourmachine
power system and the New England 10-machine 39-bus power system, respectively.
Simulation results show that the proposed adaptive WADC not only can damp the inter-area
oscillations effectively under a wide range of operation conditions and different disturbances, but also
has better robustness against to the time delay existing in the remote signals. The comparison studies
with the conventional lead-lag WADC are also provided.
FLC-Based DTC Scheme for a New Approach of Two-Leg VSI Fed Induction MotorIJERA Editor
A new Direct Torque Control (DTC) strategy for Induction Motor (IM) drive fed by a two leg three phase
inverter (i.e., Four switches are used in VSI) was proposed in this paper. The proposed methodology is based on
the emulation of operation of the conventional Six-switch three phase inverter. The combination of four
unbalanced voltage vectors is generated by the two-leg three phase inverter, approaching to the synthesis of the
six balanced voltage vectors of the conventional DTC. This approach has been implemented in the design of the
vector selection table of the proposed DTC strategy. Further, Fuzzy Logic Controller (FLC) is proposed in the
speed controller for the improvement of torque ripples. Convention DTC with Six Switch three phase VSI, twoleg
three phase VSI with PI and Fuzzy Controller are implemented using MATLAB/SIMULINK. Simulation
results have shown that the proposed DTC strategy, two-leg inverter fed IM drive revealed an improved
performance.
The speed of a DC motor can be controlled by varying the voltage applied to the terminal. It can be done by controlling a PWM-VSC (PWM-Voltage Source Converter). This paper analyzes an control strategy of PWM-VSC using fuzzy logic to obtain varying DC voltage and according to the DC motor speed as desired. The control strategy of PWM-VSC directly using the switch variable in dq rotating reference frame as input variables. The fuzzy logic controller proposes to get a DC voltage variation stable by adjusting amplitudo of the network current. The simulation Fuzzy Logic Controller results show that the design fuzzy logic produce a good dynamic of DC voltage and DC motor speed without overshoot. On the network, Total Harmonic Distortion less than 5 % and unity power factor.
OPTIMAL TORQUE RIPPLE CONTROL OF ASYNCHRONOUS DRIVE USING INTELLIGENT CONTROL...elelijjournal
The dynamic performance of an asynchronous machine when operated with cascaded Voltage Source Inverter using Space Vector Modulation (SVM) technique is presented in this paper. A classical model of Induction Motor Drive based on Direct Torque Control (DTC) method is considered which displays
appreciable run-time operation with very simple hysteresis control scheme. Direct control of the torque and flux variables is achieved by choosing suitable inverter voltage space vector from a lookup table. Under varying torque conditions the performance of the drive system is verified using MATLAB/Simulink software tool. The ripple content in the torque parameter is significant when traditional PI controller and Fuzzy approach are configured in the proposed system. Finally, by replacing the PI-Fuzzy controller with Hybrid Controller the torque ripple minimization can be achieved during no-load and loaded conditions.
Enhanced Crowbar Protection for Fault Ride through Capability of Wind Generat...IAES-IJPEDS
Due to increasing demand in power, the integration of renewable sources like
wind generation into power system is gaining much importance nowadays.
The heavy penetration of wind power into the power system leads to many
integration issues mainly due to the intermittent nature of the wind and the
desirability for variable speed operation of the generators. As the wind power
generation depends on the wind speed, its integration into the grid has
noticeable influence on the system stability and becomes an important issue
especially when a fault occurs on the grid. The protective disconnection of a
large amount of wind power during a fault will be an unacceptable
consequence and threatens the power system stability. With the increasing
use of wind turbines employing Doubly Fed Induction Generator (DFIG)
technology, it becomes a necessity to investigate their behavior during grid
faults and support them with fault ride through capability. This paper
presents the modeling and simulation of a doubly fed induction generator
according to grid code compatibility driven by a wind turbine connected to
the grid. This paper analyses the voltage sag due to a three-phase fault in the
wind connected grid. A control strategy including a crowbar circuit has been
developed in MATLAB/SIMULINK to bypass the rotor over currents during
grid fault to enhance the fault ride through capability and to maintain system
stability. Simulation results show the effectiveness of the proposed control
strategies in DFIG based grid connected wind turbine system.
Power Control of Wind Turbine Based on Fuzzy Sliding-Mode ControlIJPEDS-IAES
This paper presents the study of a variable speed wind energy conversion system (WECS) using a Wound Field Synchronous Generator (WFSG) based on a Fuzzy sliding mode control (FSMC) applied to achieve control of active and reactive powers exchanged between the stator of the WFSG and the grid to ensure a Maximum Power Point Tracking (MPPT) of a wind energy conversion system. However the principal drawback of the sliding mode, is the chattering effect which characterized by torque ripple, this phenomena is undesirable and harmful for the machines, it generates noises and additional forces of torsion on the machine shaft. A direct fuzzy logic controller is designed and the sliding mode controller is added to compensate the fuzzy approximation errors. The simulation results clearly indicate the effectiveness and validity of the proposed method, in terms of convergence, time and precision.
This article presents nonlinear control of wind conversion chain connected to the grid based on a permanent magnet synchronous generator. The control objectives are threefold; i) forcing the generator speed to track a varying reference signal in order to extract the maximum power at different wind speed (MPPT); ii) regulating the rectifier output capacitor voltage; iii) reducing the harmonic and reactive currents injected in the grid. This means that the inverter output current must be sinusoidal and in phase with the AC supply voltage (PFC). To this end, a nonlinear state-feedback control is developed, based on the average nonlinear model of the whole controlled system. This control strategy involves backstepping approach, Lyapunov stability and other tools from theory of linear systems. The proposed state-feedback control strategy is tested by numerical simulation which shows that the developed controller reaches its objectives.
The paper proposes a complete modeling and control technique of variable speed wind turbine system (WTS) based on the doubly fed induction generator (DFIG). Two levels back-to-back converter is used to ensure the energy transfer between the DFIG rotor and the grid. The wind turbine to operate efficiently, a maximum power point tracking (MPPT) algorithm is implemented. Then, direct power control (DPC) strategy has been combined with the MPPT technique in order to guarantee the selection of the appropriate rotor voltage vectors and to minimize the active and reactive power errors. Finally, the simulation is performed by using MATLAB/simulink platform basing on 7.5KW DFIG wind generation system, and the results prove the effectiveness of our proposed control technique.
A Performance Comparison of DFIG using Power Transfer Matrix and Direct Power...IAES-IJPEDS
This paper presents a direct power control and power transfer matrix model for a doubly-fed induction generator (DFIG) wind energy system (WES). Control of DFIG wind turbine system is traditionally based on either stator- flux-oriented or stator-voltage-oriented vector control. The performance of Direct Power Control (DPC) and Power transfer Matrix control for the same wind speed are studied. The Power transfer matrix Control gave better results. The validity and performance of the proposed modelling and control approaches are investigated using a study system consisting of a grid connected DFIG WES. The performance of DFIG with Power Transfer Matrix and Direct Power Control (DPC) techniques are obtained through simulation. The time domain simulation of the study system using MATLAB Simulink is carried out. The results obtained in the two cases are compared.
Voltage Oriented Decoupled Control Scheme for DFIG’s Grid Side ConverterTELKOMNIKA JOURNAL
This paper proposes a novel voltage oriented decoupled control scheme for the DFIG’s Grid Side
Converter (GSC) of a 2.3Mw, 690V, 50Hz, 6 pole doubly-fed induction generator (DFIG) based wind
generation system. For Rotor Side Converter (RSC), slip and constant V/Hz control scheme along with a
feedback control via PWM is selected but not explained in this paper.Based on the per-phase steady state
equivalent circuit model of a DFIG, relationship between stator and rotor voltages is developed. Voltage
oriented decoupled control scheme for GSC is designed in such a way that it can keep the dc link voltage
constant by regulating grid reactive power when required. The space vector modulation (SVM) algorithm is
explained breifly and implemented for the two-level GSC. MATLAB/SIMULINK (R2015a) software validates
the proposed control scheme for GSC.
Independent Control of Active and Reactive Powers of a DFIG Based Wind Energy...IJERA Editor
The paper deals with a design and implementation of a doubly fed induction generator (DFIG) wind energy conversion system (WECS) connected to the power grid. A back-to-back AC/DC/AC converter is incorporated between the stator and the rotor windings of a DFIG, in order to obtain variable speed operation. The DFIG can be controlled from sub-synchronous speed to super synchronous speed operation. The main objective of the paper is to control the flow of the Active and Reactive powers produced by the DFIG based wind energy conversion system. A vector control strategy with stator flux orientation is applied to both the grid side converter and the rotor side converter for the independent control of Active and reactive powers produced by the DFIG based wind energy conversion system. The system along with its control circuit were simulated in a Matlab/simulink and the results are presented and discussed.
This article proposes a novel scheme to improve the doubly-fed induction generator (DFIG) behavior during grid fault. The DFIG’s are sensitives to voltage variations when abrupt variations of the wind velocity arrive. For enhancing DFIG behavior, protecting the converters, and smoothing the fluctuations power output of the DFIG under sag voltage; a novel hybrid energy storage system scheme and its controller are proposed. The main advantages of our approach are a faster response and suppressing overvoltage on DC bus and globally less stress in the storage system. The control structure decreases the tiredness on the battery and restores the DC bus voltage rapidly, globally the battery system operating time increases. The results obtained by simulations in MATLAB validate the benefits of the suggested control.
The voltage dip and doubly fed induction generator with considering uncertain...journalBEEI
The paper presents the transient behavior of the doubly fed induction generator (DFIG) in the wind turbine (WT) in the normal and voltage dip condition. When voltage dip occurs in to the grid, the rotor current increases and the DC-link voltage increases too and start to oscilate. In this paper, the proportional integral (PI) controllers are used to control the DFIG-basedwind farms for regulating the electronic devices including rotor side converter (RSC) and grid side converter (GSC) to control the active and reactive power of DFIG. The PI parameters are tuned by imperialist competitive algorithm (ICA). So, the transient behavour of the DFIG-based WF is explors when the voltage dip occurs. Hence, the induced electric motive force in to the rotor is measured. Also, an existed uncertainty for mutual inductance is considered caused by saturated curve during three-phase fault conditions and the bahavour of DFIG-based WT is examined and analyzed. All of simulation is done by Matlab/Simulink®.
Control of the powerquality for a DFIG powered by multilevel inverters IJECEIAES
This paper treats the modeling, and the control of a wind power system based on a doubly fed induction generator DFIG, the stator is directly connected to the grid, while the rotor is powered by multilevel inverters. In order to get a decoupled system of controlfor an independently transits of active and reactive power, a vector control method based on stator flux orientation SFOC is considered: Direct vector control based on PI controllers. Cascaded H-bridge CHBI multilevel inverters are used in the rotor circuit to study its effect on supply power quality. All simulation models are built in MATLAB/Simulink software. Results and waveforms clearly show the effectiveness of vector control strategy. Finally, performances of the system will tested and compared for each levels of inverter.
Improved Control Strategy for Low Voltage Ride Through Capability of DFIG wit...ecij
This paper deals with a protection and control strategy to enhance the low voltage ride through capability of a wind turbine driven doubly fed induction generator (DFIG). As the wind power penetration continues to increase, wind turbines are required to provide Low Voltage Ride-Through (LVRT) capability. Crowbars are commonly used to protect the power converters during voltage dips and their main drawback is that the DFIG absorbs reactive power from the grid during grid faults. According to emergency grid code requirements, wind farms should have the ability to stay connected and continue generation under external voltage failure conditions, that is, wind turbines have to keep in connection with grid and own continue reactive power supply. This paper proposes a hysteresis current control strategy for the crowbar protection
and a reactive power control to satisfy the grid code requirements. Consequently, the dynamic model of double fed wind turbines is established to study the transient behavior of DFIG. Simulation results are presented to show the effectiveness of the proposed control scheme.
This paper proposes a feedback linearization control of doubly fed induction generator based wind energy systems for improving decoupled control of the active and reactive powers stator. In order to enhance dynamic performance of the controller studied, the adopted control is reinforced by a fuzzy logic controller. This approach is designed without any model of rotor flux estimation. The difficulty of measuring of rotor flux is overcome by using high gain observer. The stability of the nonlinear observer is proved by the Lyapunov theory. Numerical simulations using MATLAB-SIMULINK shown clearly the robustness of the proposed control, particularly to the disturbance rejection and parametric variations compared with the conventional method.
This article describes firstly a wind power production line, principally a wind turbine constitutes her and brushless doubly fed induction generator (BDFIG). The models of these components are developed, and control objective of BDFIG is to achieve a dynamic performance similar to the doubly fed induction generator (DFIG) using a stator flux field oriented control (FOC) and direct power control (DPC) strategy. After, the simulation program using Matlab/Simulink has been developed. The performances of this strategy are evaluated and analyzed, so the results show a good robustness great dynamic and a precision of speed.
The Direct Power Contro; has many advantages like it avoids the usage of integration of PWM voltages which leads to stable operation even at zero rotor frequency, it is position sensor less and hence will not depend on machine parameters like stator or rotor resistance. In case of network unbalance, if the system is operated with constant active and reactive powers, it leads to oscillations in the electromagnetic torque and currents exchange with the grid will become non- sinusoidal, which is not good for the system as it increases the mechanical stress. In this paper, both the rotor connected converter and grid connected converter are fed with DPC strategy along with that a Torque Oscillations Cancellation scheme is applied to RSC and Proportional Integral control based power references generation strategy without calculating the sequence components and with elimination of DC bus voltage oscillations is applied to stator-side converter in order to achieve non-oscillating torque accompanied by quality improved current exchange with the grid. The simulation results of Doubly Fed Induction Generator with and without fault clearly shows that the performance of the proposed scheme is validated.
ENHANCED CONTROL OF DFIG IN WIND ENERGY CONVERSION SYSTEMIjorat1
The doubly-fed induction generator (DFIG) wind turbine is a variable speed wind turbine widely used
in the modern wind power industries. At present, commercial DFIG wind turbines primarily make use of the
technology that was developed a decade ago. But, it is found in the paper that there is limitations conventional
control method. This project presents a fuzzy-logic approach to control the DFIG. Based on which fuzzy-logic
approach is controlled for real power, reactive power flow and electromagnetic torque of the wind turbine. A
direct current vector control strategy is developed to control the rotor side voltage source converter. This scheme
of direct current vector control strategy allows the independent control of the generated active and reactive
power as well as the rotor speed. In this project, a fuzzy-logic approach is proposed to control the DFIG. The
active and reactive power is controlled by rotor voltage, which goes through back-to-back voltage source
converter and DC-link voltage is also maintained stable. The conventional control approach is compared with the
proposed control techniques for DFIG wind turbine control under both steady and gusty wind conditions. A
MATLAB based simulation system was build to validate the effectiveness of the proposed method. The proposed
method waveforms of real power, reactive power, DC link voltage and generator speed are compared with
conventional method. This paper shows that under the fuzzy-logic approach control techniques, a DFIG system
have a superior performance in various aspects.
2. This paper presents two new SVOC based control
schemes, which use PI controllers with anti-windup to
deduce * *
,dr qri i+ +
+ + from active and reactive power errors.
These PI controllers provided simplicity to the control
system and also increase the independence of the system
with parameter’s variations. The commanded values of
* *
,dr qri i− −
− − are calculated from feedback quantities. Both
PWM current controller and hysteresis current controller
are utilized in these new methods.
2. CONTROLSTRUCTURE AND
MODELLING
The structures of the wind turbine and the mechanical
model have been presented in [8] and [9], they are not
included in this paper. This section discusses the control
structure for field oriented control of grid-connected
doubly fed induction generator. Stator Flux Oriented
Control is used for controlling schemes in [6,8,9], while
the structures in [7] and this paper utilize Stator Voltage
Oriented Control.
Dynamic model of DFIG with balanced grid voltage
in a generally d-q rotating reference frame [2] are
considered in this paper. Furthermore, positively and
negatively rotating reference frames, which are denoted
as dq+ and dq− respectively, are also used to develop a
control model for DFIG during unbalanced voltage dip.
These reference frames are presented in Fig. 1 below.
Fig. 1: Relationships between (α,β)s , (α,β)r , dq+ and
dq− reference frames [6,7].
In a rotating d-q reference frame, calculation of the
active and reactive powers is as following:
3 3
( ); ( )
2 2
s ds ds qs qs s qs ds ds qsP v i v i Q v i v i= + = − (1)
In a SFOC reference frame, where the d axis is
attached to the stator flux space vector, the following
characteristics are obtained:
msmsds iL== ψψ , 0=qsψ (2)
The stator voltage equations of DFIG in a generally
rotating d-q reference frame as shown in (3.1) and (3.2)
can be approximately reduced to the forms shown in
(4.1) and (4.2) in a stator flux oriented reference frame.
ds s ds s qs dsv R i d dtω ψ ψ= − + (3.1)
qs s qs s ds qsv R i d dtω ψ ψ= + + (3.2)
0≈dsv (4.1)
smsmsdssqs ViLv ==Ψ≈ ωω (4.2)
Therefore, the equations for active and reactive
powers in the stator flux reference frame are shown in
(5.1) and (5.2).
( ) qr
s
m
sqsqsqsqsdsdss i
L
L
VivivivP
2
3
2
3
2
3
−==+=
(5.1)
( )
−==−= dr
ms
s
s
m
sdsqsqsdsdsqss i
L
V
L
L
VivivivQ
ω2
3
2
3
2
3
(5.2)
The equations above have shown that independent
control of P and Q can be obtained by controlling idr and
iqr in SFOC. Similarly, SVOC can also be used to
independently control P and Q by using idr and iqr [10].
If the magnitudes of stator voltage and flux space
vectors are constant, the equations of rotor voltage in
the synchronously rotating reference frame are reduced
as following [11]:
( )
( )
dr
dr r dr r s r dr
qr
qr r qr r s r qr
di
v R i L
dt
di
v R i L
dt
σ ω ω ψ
σ ω ω ψ
= + − −
= + + −
(6)
Where ( )rsm LLL /1 2
−=σ
The expressions of active and reactive powers in SVOC
can be approximated as following [11]:
( )
1.5 /
1.5
m s dr s
s
s m qr s
s r
P L V i L
V
Q V L i L
ω ω
≈
≈ − + −
(7)
Fig. 2 shows the control structure of SFOC while Fig.
3 and Fig. 4 demonstrate the structure for proposed
SVOC’s. The quantities * *
,dr qrv v+ +
in Fig. 3 can be
calculated with the following equations in [7], where
* *
,dr qru u+ +
are the outputs of the PI controllers plus
anti-windup.
dqr r dqr dqrv L u eσ+ + +
= + (8)
( )
( )
m
dqr dqs s dqs s dqs
s
s r dqr r dqr
L
e v R i j
L
j R i
ω ψ
ω ω ψ
+ + + +
+ +
= − −
+ − +
(9)
3. THE PROPOSED CONTROL METHODS FOR
IMPROVED TORQUE STABILITY AND
REDUCED CURRENT HARMONICS
The proposed SVOC based systems in Figs. 3 and 4
are different from the traditional SFOC in terms of using
SICE Annual Conference 2014
September 9-12, 2014, Sapporo, Japan
1494
3. Notch filter to eliminate the 2nd
order harmonic which
causes power and torque pulsation and addition of extra
commands * *
,dr qri i− −
− −
to improve torque performance.
However, they are similar to the traditional one in using
PI plus anti-windup, as presented in Fig. 5, to obtain
* *
,dr qri i+ +
+ + from the errors of reference and estimated
powers. The control structure of the traditional SFOC is
similar to the scheme in Fig. 2 except the uses of Notch
filters and Sequence Component Controller.
Fig. 2: Control structure of SFOC with Sequence
Component Controller and PI + anti-windup.
Fig. 3: Proposed control structure with SVOC, PWM
current controller, and PI + anti-windup.
The two proposed control methods are different to the
methods in [6] and [7] in term that the reference values
* *
,dr qri i+ +
+ + are the outputs of two PI controllers with
anti-windup, instead of being calculated from * *
,P Q
(as shown in (10) from [7]). The PI controllers will
provide the independences with parameter variations for
the commanded values * *
,dr qri i+ +
+ + . Robust responses of
* *
,dr qri i+ +
+ + to the variation of * *
,P Q can also be obtained.
The expressions to calculate * *
,dr qri i− −
− − in the suggested
ones are not the same as expressions in [6, 7] although
the same control target of zero torque pulsations is
applied. Components of feedback voltage and rotor
current are used for the calculations in this paper to
provide reliability and quick adjustment for controller, as
shown in (11).
The two methods are also different with the one in [6]
by using SVOC and the difference in the order of
coordinate transformation to obtain *
rvαβ (for the case
with Pulse Width Modulation (PWM) current controller)
as shown in Fig. 3.
Fig. 4: Proposed control structure with SVOC,
Hysteresis current controller, and PI + anti-windup.
Fig. 5: The layout of PI controller with anti-windup in
Matlab/Simulink.
0
0
sin 2
sin 2
cos 2
cos2
0 0 0 0
3
2
0 0 0 0
0 0 0 0
s
qss qs ds qs ds
s dsqs ds qs ds
s s s qsds qs ds qs
s
ds
s
P
vQ v v v v
P vv v v v
Q L vv v v v
P
v
Q
ω
++ + − −
++ + − −
+− − + +
+− − + +
−− − + +
−− − + +
−
−
− − − − − − = × − −
3
2
ds qs ds qs
qs ds qs ds dr
ds ds qs ds qrm
s ds qs ds qs dr
qrds qs ds qs
qs ds qs ds
v v v v
v v v v i
v v v v iL
L v v v v i
iv v v v
v v v v
+ + − −
+ + − −
+ + − − +
+ + − − +
− − + + +
− − + + +
− − + + −
− − + + −
−− − + +
−− − + +
− − + +
− − + +
− −
− −
+ ×
− −
− −
(10)
A totally different current control method, which is
SICE Annual Conference 2014
September 9-12, 2014, Sapporo, Japan
1495
4. hysteresis control, is also presented in this paper as
shown in Fig. 4.
The application of Notch filters for removing the 2nd
harmonic order is the similarity between the proposed
ones and schemes in [6,7].
The values of * *
,dr qri i+ +
− − and then * *
,dr qri i+ +
as in Figs.
3-4 can be done by using (12.1) and (12.2).
* *
;
qs qsds ds
dr dr qr qr dr qr
ds qs ds qs
v vv v
i i i i i i
v v v v
− −− −
− −− + + − + +− −
− + + − + ++ + + +
+ + + +
= + = − (11)
2* * * * * sj
dr dr dr dr dri i i i i e θ−+ + + + −
+ − + −= + = + (12.1)
2* * * * * sj
qr qr qr qr qri i i i i e θ−+ + + + −
+ − + −= + = + (12.2)
The next session will verify the performance of the
proposed methods.
4. SIMULATION RESULTS
Simulations of the proposed control methods for the
2.3MW grid-connected DFIG are carried out with the
generator's parameters as given by Table 1. The
commanded values of P and Q are changed after 50s,
reference value of P is changed from 1.5 MW to 2.0 MW
while the reference value of Q is changed from 1.2
MVAR to 800 KVAR. The grid voltages are balanced
until the 60th
second, one of the phase voltages is
reduced by 10%, then they are balanced again from the
80th
second. The proposed control methods are for
variable speed and constant frequency of DFIG, without
loss of generality, the rotor speed in the simulation is
super-synchronous and at a particular value of 1600 rpm.
The wind speed’s variation is shown in Fig 6.
Table 1. Parameters of the 2.3MW DFIG
Parameter Symbol Value
Stator inductance LS 159.2 (µH)
Rotor inductance Lr 159.2 (µH)
Magnetic inductance Lm 5.096 (mH)
Stator resistance RS 4 (mΩ)
Rotor resistance Rr 4 (mΩ)
Number of pole pairs P 2
Frequency (angular) ωS 100π (rad/s)
Inertia J 93.22 (kg.m
2
)
Inertia of Rotor Jrot
4.17×10
6
(kg.m
2
)
Fig. 6: Random variation of the wind speed.
The simulations are assumed that the DFIG has been
operating in the steady state for a long time, after starting
and grid synchronization.
The proposed control method with hysteresis current
controller has a hysteresis band of 1% rotor current
obtained when the generator is delivering rated active
power and not delivering reactive power using PWM
current controller.
Figures 7-14 present the responses of active power,
reactive power, stator current, rotor current and torque.
In each figure, there are four sub-figures for the
responses obtained with traditional SFOC and PWM
current control (a), previously proposed method with
SFOC, Sequence Component Control and PWM current
control (b), currently proposed method with SVOC and
PWM current control (c), currently proposed method
with SVOC and hysteresis current control (d).
49 50 51
-2.1
-2
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
x 10
6
Time [s]
(a)
Ps[W]
49 50 51
-2.1
-2
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
x 10
6
Time [s]
(b)
49 50 51
-2.1
-2
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
x 10
6
Time [s]
(c)
49 50 51
-2.1
-2
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
x 10
6
Time [s]
(d)
Fig. 7: Active power during transient state.
60 70 80 90 100
-2.1
-2
-1.9
-1.8
-1.7
x 10
6
Time [s]
(a)
Ps[W]
60 70 80 90 100
-2.1
-2
-1.9
-1.8
x 10
6
Time [s]
(b)
60 70 80 90 100
-2.05
-2
-1.95
-1.9
-1.85
x 10
6
Time [s]
(c)
Ps[W]
60 70 80 90 100
-2.1
-2
-1.9
-1.8
x 10
6
Time [s]
(d)
Fig. 8: Active power during unbalanced voltage.
49 49.5 50 50.5 51
-1.3
-1.2
-1.1
-1
-0.9
-0.8
-0.7
x 10
6
Time [s]
(a)
Qs[VAR]
49 49.5 50 50.5 51
-1.3
-1.2
-1.1
-1
-0.9
-0.8
-0.7
x 10
6
Time [s]
(b)
49 49.5 50 50.5 51
-1.3
-1.2
-1.1
-1
-0.9
-0.8
-0.7
x 10
6
Time [s]
(c)
Qs[VAR]
49 49.5 50 50.5 51
-1.3
-1.2
-1.1
-1
-0.9
-0.8
-0.7
x 10
6
Time [s]
(d)
Fig. 9: Reactive power during transient state.
The red lines in the figures above are the commanded
values of P and Q. The average values over one period
are observed for active and reactive power. However,
SICE Annual Conference 2014
September 9-12, 2014, Sapporo, Japan
1496
5. instantaneous values are collected for stator current,
rotor current and torque. Harmonics analyses of the rotor
currents are shown in Figs. 15-20 for the traditional
SFOC and the two proposed control methods. Figs.
21-26 present the harmonic contents as well as Total
Harmonic Distortion (THD) of stator current in the three
schemes, for both balanced and unbalanced voltages.
60 70 80 90 100
-9
-8.5
-8
-7.5
-7
-6.5
x 10
5
Time [s]
(a)
Qs[VAR]
60 70 80 90 100
-9
-8.5
-8
-7.5
-7
-6.5
x 10
5
Time [s]
(b)
60 70 80 90 100
-9
-8.5
-8
-7.5
-7
-6.5
x 10
5
Time [s]
(c)
Qs[VAR]
60 70 80 90 100
-9
-8.5
-8
-7.5
-7
-6.5
x 10
5
Time [s]
(d)
Fig. 10: Reactive power during unbalanced voltage.
Fig. 11: Stator current before and during unbalanced
voltage.
59.5 60 60.5
-3
-3
-3
0
1
2
3
Time [s]
(a)
Iabcr[kA]
59.5 60 60.5
-3
-2
-1
0
1
2
3
Time [s]
(b)
59.5 60 60.5
-3
-3
-1
0
1
2
3
Time [s]
(c)
Iabcr[kA]
59.5 60 60.5
-3
-2
-1
0
1
2
3
Time [s]
(d)
Fig. 12: Rotor current before and during unbalanced
voltage.
30 40 50 60 70 80 90 100
-1.3
-1.2
-1.1
-1
-0.9
x 10
4
Time [s]
(a)
Te[kN.m]
30 40 50 60 70 80 90 100
-1.3
-1.2
-1.1
-1
-0.9
x 10
4
Time [s]
(b)
30 40 50 60 70 80 90 100
-1.3
-1.2
-1.1
-1
-0.9
x 10
4
Time [s]
(c)
Te[k.N.m]
30 40 50 60 70 80 90 100
-1.3
-1.2
-1.1
-1
-0.9
x 10
4
Time [s]
(d)
Fig. 13: Generator torque during transient state and
unbalanced voltage.
60 70 80 90 100
-1.3
-1.2
-1.1
-1
x 10
4
Time [s]
(a)
Te[kN.m]
60 70 80 90 100
-1.35
-1.3
-1.25
-1.2
-1.15
-1.1
x 10
4
Time [s]
(b)
60 70 80 90 100
-1.35
-1.3
-1.25
-1.2
-1.15
-1.1
x 10
4
Time [s]
(c)
Te[k.N.m]
60 70 80 90 100
-1.35
-1.3
-1.25
-1.2
-1.15
x 10
4
Time [s]
(d)
Fig. 14: Generator torque during unbalanced voltage.
0 50 100 150 200
0
500
1000
1500
2000
2500
Frequency (Hz)
Fundamental (50Hz) = 18.04 , THD= 155.40%
Mag(%ofFundamental)
Fig. 15: Rotor current of the traditional SFOC with
PWM current control during balanced voltage.
0 50 100 150 200
0
500
1000
1500
Frequency (Hz)
Fundamental (50Hz) = 53.85 , THD= 88.30%
Mag(%ofFundamental)
Fig. 16: Rotor current of SVOC with hysteresis control
during balanced voltage.
Fig. 17: Rotor current of SVOC with PWM control
during balanced voltage.
59.95 60 60.05
-3
-3
-1
0
1
2
3
Iabcs[kA]
Time [s]
(a)
59.95 60 60.05
-3
-2
-1
0
1
2
3
Time [s]
(b)
59.95 60 60.05
-3
-2
-1
0
1
2
3
Time [s]
(c)
59.95 60 60.05
-3
-2
-1
0
1
2
3
Time [s]
(d)
SICE Annual Conference 2014
September 9-12, 2014, Sapporo, Japan
1497
6. Fig. 18: Rotor current of the traditional SFOC with
PWM current control during unbalanced voltage.
Fig. 19: Rotor current of SVOC with hysteresis control
during unbalanced voltage.
0 50 100 150 200
0
500
1000
1500
Frequency (Hz)
Fundamental (50Hz) = 42.79 , THD= 96.86%
Mag(%ofFundamental)
Fig. 20: Rotor current of SVOC with PWM control
during unbalanced voltage.
0 50 100 150 200
0
0.1
0.2
0.3
0.4
0.5
Frequency (Hz)
Fundamental (50Hz) = 1601 , THD= 1.97%
Mag(%ofFundamental)
Fig. 21: Stator current of the traditional SFOC with
PWM current control during balanced voltage.
0 50 100 150 200
0
0.05
0.1
0.15
0.2
0.25
0.3
Frequency (Hz)
Fundamental (50Hz) = 1630 , THD= 1.84%
Mag(%ofFundamental)
Fig. 22: Stator current of SVOC with hysteresis control
during balanced voltage.
0 50 100 150 200
0
0.1
0.2
0.3
0.4
0.5
0.6
Frequency (Hz)
Fundamental (50Hz) = 1631 , THD= 1.99%
Mag(%ofFundamental)
Fig. 23: Stator current of SVOC with PWM control
during balanced voltage.
Fig. 24: Stator current of the traditional SFOC with
PWM current control during unbalanced voltage.
Fig. 25: Stator current of SVOC with hysteresis control
during unbalanced voltage.
SICE Annual Conference 2014
September 9-12, 2014, Sapporo, Japan
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7. 0 50 100 150 200
0
0.5
1
1.5
2
Frequency (Hz)
Fundamental (50Hz) = 1825 , THD= 3.06%
Mag(%ofFundamental)
Fig. 26: Stator current of SVOC with PWM control
during unbalanced voltage.
5. DISCUSSION
The Fig. 7 shows that both the proposed methods
have insignificant steady-state errors in active power
response during balanced voltage, especially compared
with the steady-state error of the traditional SFOC
method. During unbalanced voltage, they both give
power responses with less pulsation than the other two
methods and also small steady-state errors; the
performance is much better with SVOC using hysteresis
current controller, as shown in Fig. 8.
The responses of reactive powers are quite similar to
each other for the four methods during the transient
state and steady state under balanced voltage. The
results in Fig. 9 and 10 also shows better reactive power
for the two proposed methods which are less oscillated.
Reactive power delivered with SVOC using the
hysteresis current control has much better performance.
The waveforms of stator current in the three modified
control methods are less distorted when voltage
unbalance happens, compared with the traditional SFOC.
The waveform of SVOC with hysteresis current control
is the least affected one as shown in Fig. 11. Similarly,
Fig. 12 demonstrates the small distortion in the rotor
current waveform of SVOC with hysteresis control
although higher rotor current is observed for this
method.
The performance of generator torque is much better
for the two proposed control scheme in this paper
during unbalanced voltage as shown in Fig. 13 and 14.
These methods give less torque pulsation compared to
the other two methods with SFOC, even modification
for coping with voltage unbalance is included. The
reduction of torque’s variation helps to decrease the
mechanical stresses on wind turbine systems.
Harmonic analysis of rotor current has shown little
difference in frequency spectrum of the three control
methods (the traditional SFOC with PWM current
control and the two proposed SVOC in this paper)
during the balanced voltage. Rotor frequency is about
3.33 Hz when the rotor speed is 1600 rpm. The energy
contents in higher-order harmonics are quite small
during the balance as shown in Fig. 15-17. However, the
magnitudes of higher harmonics in traditional SFOC
and SVOC with the hysteresis current control increase
significantly under voltage unbalance as demonstrated
in Fig. 18 and 19. It’s observed in Fig. 20 that frequency
spectrum for SVOC with PWM current control is not
much changed during the unbalance.
Harmonic contents of stator current during balanced
voltage are quite good for the three control schemes
above as shown in Fig. 21-23. The Total Harmonic
Distortion’s (THD) are almost the same in these figures.
However, during voltage unbalance, SVOC with PWM
current control gives the best performance in terms of
THD as shown in Fig. 23-26. Table 2 illustrates the
comparison of THD in the three methods for both
operating conditions, balanced unbalanced voltages.
Table 2. THD comparison for stator current.
THD
Traditional
SFOC
SVOC +
(PI+A) +
PWM
SVOC +
(PI+A) +
Hysteresis
Balanced
grid voltage
1.97 1.99 1.84
0% 1% -7%
Unbalanced
Grid
voltage
5.77 3.06 4.03
0% -47% -30%
(%)Tradtional SFOC
Tradtional SFOC
THD THD
Deviation
THD
−
=
Total harmonic distortion of the two new control
schemes has been significantly reduced during the
unbalanced voltage (47% for SVOV with PWM control
and 30% for SVOC with hysteresis control), when
compared with the THD in the traditional SFOC. All the
THD values of stator current are increased during the
unbalance.
Although the controlling target of the proposed
methods in this paper is constant generator’s torque to
reduce mechanical stresses, the obtained results are
satisfactory not only for torque but also for stator and
rotor current harmonics as well as active, reactive
powers.
The proposed methods give better performances of
torque and current waveform due to the presence of
reference values for rotor current’s negative sequence
components in the negatively rotating reference frame as
calculated in (11). The effects of negative sequence
components on rotor current during the unbalance, which
are the major causes for torque’s under-performance and
harmonics, are limited when the actual current
components in the positively rotating reference frame are
driven to the equivalent commanded values deduced
from these reference values as shown in (12). Another
reason for improved responses is the utilization of PI
plus anti-windup controllers used for driving the current
errors to zero. They give the advantages of quick
damping for current’s overshoots and oscillation, which
frequently happen during the voltage unbalance. The
number of PI controllers is not increased when compared
with other methods. This helps to give fast responses.
SICE Annual Conference 2014
September 9-12, 2014, Sapporo, Japan
1499
8. 6. CONCLUSION
Two new SVOC-based control methods, which use PI
controllers with anti-windup to deduce rotor current’s
commanded positive components in positively rotating
reference frame and two extra commanded values for
rotor current’s negative components in the negatively
rotating reference frame * *
,dr qri i− −
− −
, are proposed in the
paper. Verifications of the control schemes by
Matlab/Simulink during balanced and unbalanced
voltage of 10% in one phase, steady and transient states,
have also been presented. The results have shown
significantly reduced torque pulsation, especially for
SVOC with hysteresis current control, and decreased
stator and rotor current harmonics, especially for SVOC
with PWM current controller. Improved responses of
active and reactive powers are also observed for the
proposed ones.
The results are also compared with the others
obtained from simulation of the traditional SFOC and
modified SFOC using Sequence Component Controller
and PI controller with anti-windup. Both these control
methods utilized PWM current controller.
In the future, simulations of the proposed control
structures with other expressions of the rotor current
commands to achieve three other targets suggested in
[6] and [7] (constant active power, no oscillation of
rotor current, and balanced stator current) should also be
done. Experimental verifications should also be
implemented.
NOMENCLATURE
,s rv v Stator, rotor voltage vectors.
,s ri i Stator, rotor current vectors.
,s rψ ψ Stator, rotor flux vectors.
sω Stator angular frequency.
rω Rotor speed.
,s sP Q Stator output active and reactive power.
mL Mutual inductance.
,s rL Lσ σ Stator, rotor leakage inductances.
,s rL L Stator, rotor self inductances.
,s rR R Stator, rotor resistance
rθ Rotor angle
sθ Stator flux angle in SFOC, stator voltage
angle in SVOC.
slθ Slip angle, sl s rθ θ θ= −
Superscripts
,+ − Positively, negatively (dq) rotating reference
frames.
∗ Reference value for controllers.
Subscripts
,α β Stationary α-β axis.
,r rα β Rotor αr-βr axis.
,d q Rotating d-q axis.
,s r Stator, rotor.
,+ − Positive, negative components.
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September 9-12, 2014, Sapporo, Japan
1500