Implementation of Modified Field-Oriented Control Scheme for Improving the Fault Ride Through Ability of BDFIG System

2019 ◽  
Vol 29 (03) ◽  
pp. 2050040
Author(s):  
Maheswari Muthusamy ◽  
A. K. Parvathy
Keyword(s):  
Power Flow ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Digital Simulation ◽  
System Response ◽  
Field Oriented Control ◽  
Fault Ride Through ◽  
In Series ◽  
Doubly Fed ◽  
Static Compensator

This paper devises a design named brushless doubly fed induction generator (BDFIG) with a fault ride-through enhancement that employs upgraded field-oriented control (FOC) scheme. The DFIG is most suitable for wind energy conversion system (WECS) because it has an amicable establishment, economical operation and promising characteristics. A WECS based on two BDFIGs connected electrically in parallel and mechanically in series, excited by a three-phase inverter and controlled as variable speed, is described. For enhancing power quality and power flow capability, static compensator (STATCOM) has been incorporated in the proposed configuration. The comparative analysis on performance has been carried out with the existing proportional-integral (PI) controller and self-tuning fuzzy logic controller (STFLC) for the proposed configuration under varying wind speed. In this paper, the fuzzy controller is designed to adapt PI parameters Kp and Ki, in order to reduce at least some inherent characteristics (overshoot, response time, etc.) of the error between the reference and system response. The digital simulation results claim that the FLC-based controller can offer an attractive and feasible control for the proposed WECS integrating two BDFIGs.

scholarly journals A Fuzzy Logic Controller to Increase Fault Ride-Through Capability of Variable Speed Wind Turbines

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Geev Mokryani ◽  
Pierluigi Siano ◽  
Antonio Piccolo ◽  
Vito Calderaro
Keyword(s):  
Wind Turbines ◽  
Distribution System ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Wind Farms ◽  
Variable Speed ◽  
Fault Ride Through ◽  
Point Of Common Coupling ◽  
Common Coupling ◽  
Doubly Fed

A fuzzy controller for improving Fault Ride-Through (FRT) capability of Variable Speed Wind Turbines (WTs) equipped with Doubly Fed Induction Generator (DFIG) is presented. The controller is designed in order to compensate the voltage at the Point of Common Coupling (PCC) by regulating the reactive and active power generated by WTs. The performances of the controller are evaluated in some case studies considering a different number of wind farms in different locations. Simulations, carried out on a real 37-bus Italian weak distribution system, confirmed that the proposed controller can enhance the FRT capability in many cases.

Hybrid Neural-Fuzzy Controller for Motorized Robot Arm

2011 ◽  
Vol 403-408 ◽  
pp. 5068-5075
Author(s):  
Fatma Zada ◽  
Shawket K. Guirguis ◽  
Walied M. Sead
Keyword(s):  
Fuzzy Logic ◽  
Design Methodology ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
System Response ◽  
Robot Arm ◽  
Neural Controller ◽  
Hybrid Controller ◽  
Neural Fuzzy ◽  
Transient And Steady State

In this study, a design methodology is introduced that blends the neural and fuzzy logic controllers in an intelligent way developing a new intelligent hybrid controller. In this design methodology, the fuzzy logic controller works in parallel with the neural controller and adjusting the output of the neural controller. The performance of our proposed controller is demonstrated on a motorized robot arm with disturbances. The simulation results shows that the new hybrid neural -fuzzy controller provides better system response in terms of transient and steady-state performance when compared to neural or fuzzy logic controller applications. The development and implementation of the proposed controller is done using the MATLAB/Simulink toolbox to illustrate the efficiency of the proposed method.

A Novel Approach for Load Frequency Control of Interconnected Thermal Power Stations

2012 ◽  
Vol 1 (2) ◽  
pp. 85-95 ◽  
Author(s):  
Yogendra Arya ◽  
H.D. Mathur ◽  
S.K. Gupta
Keyword(s):  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Thermal Power ◽  
Load Frequency Control ◽  
System Response ◽  
Load Frequency ◽  
Power Stations ◽  
Novel Approach ◽  
Thermal Power Stations

This paper presents a fuzzy logic controller for load frequency control (LFC) of multi-area interconnected power system. The study has been designed for a three area interconnected thermal power stations with generation rate constraint (GRC). Simulation results of the proposed fuzzy controller are presented and it has been shown that proposed controller can generate the good dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.

Model DFIG Pembangkit Listrik Tenaga Angin Sebagai Suatu Unit Pembangkit Tersebar

2017 ◽  
Vol 8 (2) ◽  
pp. 55-60
Author(s):  
Ramadoni Syahputra ◽  
Imam Robandi ◽  
Mochamad Ashari
Keyword(s):  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Voltage Regulation ◽  
Induction Generator ◽  
Machine Model ◽  
Worst Case ◽  
Matlab Simulink ◽  
Doubly Fed

In this paper, we present the doubly-fed induction generator (DFIG) model in a wind turbine system as a unit of the distributed generator. The wind turbine driven by doubly-fed induction machine is a part of the distributed generation which feeds ac power to the distribution network.  The system is modeled and simulated in the Matlab Simulink environment in such a way that it can be suited for modeling of all types of induction generator configurations. The model makes use of rotor reference frame using a dynamic vector approach for machine model. The fuzzy logic controller is applied to the rotor side converter for active power control and voltage regulation of wind turbine. Wind turbine and its control unit are described in details. All power system components and the fuzzy controller are simulated in Matlab Simulink software. For studying the performance of the controller, different abnormal conditions are applied even the worst case. Simulation results prove the excellent performance of the fuzzy controller unit as improving power quality and stability of the wind turbine.

scholarly journals Dynamic Stability Improvement of Grid Connected DFIG Using Enhanced Field Oriented Control Technique for High Voltage Ride Through

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
V. N. Ananth Duggirala ◽  
V. Nagesh Kumar Gundavarapu
Keyword(s):  
High Voltage ◽  
Power Flow ◽  
Transient Stability ◽  
Reactive Power ◽  
Control Technique ◽  
Field Oriented Control ◽  
Dc Offset ◽  
Sustained Operation ◽  
Stator Flux ◽  
Doubly Fed

Doubly fed induction generator (DFIG) is a better alternative to increased power demand. Modern grid regulations force DFIG to operate without losing synchronism during overvoltages called high voltage ride through (HVRT) during grid faults. Enhanced field oriented control technique (EFOC) was proposed in Rotor Side Control of DFIG converter to improve power flow transfer and to improve dynamic and transient stability. Further electromagnetic oscillations are damped, improved voltage mitigation and limit surge currents for sustained operation of DFIG during voltage swells. The proposed strategy has advantages such as improved reactive power control, better damping of electromagnetic torque oscillations, and improved continuity of voltage and current from stator and rotor to grid during disturbance. In EFOC technique, rotor flux reference changes its value from synchronous speed to zero during fault for injecting current at the rotor slip frequency. In this process, DC-Offset component of stator flux is controlled so that decomposition during overvoltage faults can be minimized. The offset decomposition of flux will be oscillatory in a conventional FOC, whereas in EFOC it is aimed to be quick damping. The system performance with overvoltage of 1.3 times, 1.62 times, and 2 times the rated voltage occurring is analyzed by using simulation studies.

scholarly journals Fault Ride through Capability Analysis (FRT) in Wind Power Plants with Doubly Fed Induction Generators for Smart Grid Technologies

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4260 ◽  
Author(s):  
Aphrodis Nduwamungu ◽  
Etienne Ntagwirumugara ◽  
Francis Mulolani ◽  
Waqar Bashir
Keyword(s):  
Power Flow ◽  
Power Plants ◽  
Electrical Networks ◽  
Energy Technologies ◽  
Induction Generators ◽  
Fault Ride Through ◽  
Clearing Time ◽  
Voltage Swell ◽  
Doubly Fed ◽  
Automation Strategies

Faults in electrical networks are among the key factors and sources of network disturbances. Control and automation strategies are among the key fault clearing techniques responsible for the safe operation of the system. Several researchers have revealed various constraints of control and automation strategies such as a slow dynamic response, the inability to switch the network on and off remotely, a high fault clearing time and loss minimization. For a system with wind energy technologies, if the power flow of a wind turbine is perturbed by a fault, the intermediate circuit voltage between the machine side converter and line side converter will rise to unacceptably high values due to the accumulation of energy in the DC link capacitor. To overcome the aforementioned issues, this paper used MATLAB simulations and experiments to analyze and validate the results. The results revealed that fault ride through capability with Supervisory Control and Data Acquisition (SCADA) viewer software, Active Servo software and wind sim packages are more adaptable to the variations of voltage sag, voltage swell and wind speed and avoid loss of synchronism and improve power quality. Furthermore, for protection purposes, a DC chopper and a crowbar should be incorporated into the management of excess energy during faults and a ferrite device included for the reduction of the electromagnetic field.

Model DFIG Pembangkit Listrik Tenaga Angin Sebagai Suatu Unit Pembangkit Tersebar

2017 ◽  
Vol 8 (2) ◽  
pp. 55-60
Author(s):  
Ramadoni Syahputra ◽  
Imam Robandi ◽  
Mochamad Ashari
Keyword(s):  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Control Unit ◽  
Voltage Regulation ◽  
Induction Generator ◽  
Machine Model ◽  
Worst Case ◽  
Matlab Simulink ◽  
Doubly Fed

In this paper, we present the doubly-fed induction generator (DFIG) model in a wind turbine system as a unit of the distributed generator. The wind turbine driven by doubly-fed induction machine is a part of the distributed generation which feeds ac power to the distribution network.  The system is modeled and simulated in the Matlab Simulink environment in such a way that it can be suited for modeling of all types of induction generator configurations. The model makes use of rotor reference frame using a dynamic vector approach for machine model. The fuzzy logic controller is applied to the rotor side converter for active power control and voltage regulation of wind turbine. Wind turbine and its control unit are described in details. All power system components and the fuzzy controller are simulated in Matlab Simulink software. For studying the performance of the controller, different abnormal conditions are applied even the worst case. Simulation results prove the excellent performance of the fuzzy controller unit as improving power quality and stability of the wind turbine.

scholarly journals Frequency stabilization using fuzzy logic based controller for multi-area power system

2007 ◽  
Vol 25 (1) ◽  
pp. 22 ◽  
Author(s):  
H.D. Mathur ◽  
H.V. Manjunath
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Fuzzy Logic Controller ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Electrical Power ◽  
Load Frequency Control ◽  
System Response ◽  
Electrical Power System

In this paper, a fuzzy logic controller is proposed for load frequency control problem of electrical power system. The fuzzy controller is constructed as a set of control rules and the control signal is directly deduced from the knowledge base and the fuzzy inference. The study has been designed for a two area interconnected power system. A comparison among a conventional proportional integral (PI) controller, some other fuzzy gain scheduling controllers and the proposed fuzzy controller is presented and it has been shown that proposed controller can generate the best dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.

Experimental Investigations with Fuzzy Controller for PV Fed DC Motor Incorporating SEPIC Converter as Efficient Power Interface

2014 ◽  
Vol 550 ◽  
pp. 110-125
Author(s):  
R.L. Josephine ◽  
S. Suja
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Dc Motor ◽  
Experimental Investigations ◽  
Pv Array ◽  
Simulink Model ◽  
In Series ◽  
Circuit Components ◽  
Efficient Power

The design and implementation of solar energy fed power electronic interface using SEPIC converter incorporating fuzzy logic controller for a DC motor has been attempted. The proposed scheme consists of a Photovoltaic (PV) array, a SEPIC DC-DC converter, a PIC microcontroller and a DC motor. The SEPIC converter has been fabricated using IGBT and associated circuit components. A PIC microcontroller has been programmed to automatically vary the duty cycle of the SEPIC converter with fuzzy logic controller depending upon the required speed of the motor. The Simulink model of the proposed scheme has been built using MATLAB/PSB. To test the satisfactory performance of the program written for PIC microcontroller, the program is loaded into the PROTEUS VSM simulator and the waveform of the gate pulses obtained from the simulator using MPLAB coding is studied. After confirming the satisfactory generation of the gate pulses by the simulator, the program is loaded into PIC microcontroller using PIC start plus and gate pulses generated is fed to the DC-DC converter for firing the IGBT. Experiments have been carried out on a 230V, 4.5A, 0.75 kW, 1500 rpm separately excited DC motor and the results are furnished for different load conditions. Various reference speeds have been set and the system automatically adjusts the actual speed of the DC motor close to the set speed. The PV array used in the system consists of the panels connected in series, each panel being rated for 18V and 5A. The comparison of experimental and simulation results show very close agreement between the two thus validating the proposed scheme.

Power System Voltage Control Using Wind Farms Based on a Doubly Fed Induction Generation (DFIG)

2014 ◽  
Vol 960-961 ◽  
pp. 1174-1179
Author(s):  
Sabir Messalti ◽  
Bilal Boudjlal ◽  
Hichem Azli
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Turbine ◽  
Power Flow ◽  
Wind Farms ◽  
Field Oriented Control ◽  
Doubly Fed Induction Generator ◽  
System A ◽  
Doubly Fed ◽  
Turbine Model

This paper shows the modeling and the effectiveness of wind turbine for voltage improvement of power systems. The wind turbine is based on a doubly-fed induction generator (DFIG). A field-oriented control is used to control of the power flow exchanged between the DFIG and the power system. A simplified wind turbine model based on independent control of active and reactive powers is used in this paper. The proposed methodology is tested in the single machine power system connected to a wind farms in the case of sudden voltage variations.

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