Analysis of PI and Fuzzy Controller for DFIG under Variable Wind Speed Condition (original) (raw)
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Energy Procedia, 2012
This paper presents a study analysis of a wind energy conversion system (WECS) based on a doubly fed induction generator (DFIG) connected to the electric power grid. The aim of the work is to apply and compare the dynamic performances of two types of controllers (namely, classical PI and Fuzzy-PI) for the WECS in terms of tracking and robustness with respect to the wind fluctuation as well as the impact on the quality of the energy produced. A vector control with stator flux orientation of the DFIG is also presented to control the active and reactive powers between the stator and the grid, and further to achieve maximum wind energy capturing. To show the effectiveness of the control method performances analysis of the system are analyzed and compared by simulation in terms of the performances of the machine.
Fuzzy Logic Control of Doubly Fed Induction Generator Wind Turbine
This paper presents fuzzy logic control of Doubly Fed Induction Generator (DFIG) wind turbine in a sample power system. DFIG consists of a common induction generator with slip ring and a partial scale power electronic converter. Fuzzy logic controller is applied to 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 are simulated in PSCAD/EMTDC software and for fuzzy control, using a user defined block, this software is linked to MATLAB. For studying the performance of controller, different abnormal conditions are applied even the worst case. Simulation results prove the excellent performance of fuzzy control unit as improving power quality and stability of wind turbine.
Fuzzy Logic Control of Double-Fed induction Generator Wind Turbine
Abstract – This paper presents fuzzy logic control of Doubly Fed Induction Generator (DFIG) wind turbine in a sample power system. First, a mathematical model of the doubly fed induction generator written in an appropriate d-q reference frame is established to investigate simulations. In order to control the rotor currents of DFIG, a power active and reactive control law is synthesized using PI controllers. Then, the performances of fuzzy logic controller (FLC) are investigated and compared to those obtained from the PI controller. Results obtained in Matlab/Simulink environment show that the FLC is more robust, prove excellent performance for the control unit by improving power quality and stability of wind turbine. Copyright © 2009 Praise Worthy Prize S.r.l. - All rights reserved.
3rd International Conference on Systems and Control, 2013
This paper deals with a fuzzy logic control algorithm intended for grid-connected doubly fed induction generator (DFIG) which is driven by a Savonuis vertical axis wind turbine. The established control system is based on decoupling control using oriented grid flux vector control strategy. However a decoupling between active and reactive stator powers is carried out which gives an optimal operation of the DFIG at sub-synchronous region. Also the control of the stator powers works simultaneously with possibility to keeping stator power factor at unity. The power controllers are designed from an optimized fuzzy logic algorithm, which conducts to an efficiency for the controllers behavior. In addition a maximum power point tracking strategy is included as an additional solution to enhance and improve the wind energy conversion system efficiency.
Experimental Investigation of DFIG-based Wind Energy Conversion System Using Fuzzy Logic Control
Periodica Polytechnica Electrical Engineering and Computer Science
In this paper, an experimental study of a Wind Energy Conversion System (WECS) is performed. A test bench with a power of 1.5 kW is setup. The system consists of a Doubly-Fed Induction Generator (DFIG) and a wind emulator based on a DC motor associated with a Maximum Power Point Tracking (MPPT) control. The proposed emulator is driven by a four quadrants DC/DC converter to produce a real wind turbine behavior. The aim of this work is to improve the DIFG performances by using the fuzzy logic-based intelligent controller. This control technic is designed to monitor the stator reactive and active powers. This can be achieved by the DFIG rotor side converter (RSC) using the field-oriented control. The experimental setup uses a dSPACE DS1104 device, MATLAB/Simulink software and a ControlDesk interface. The paper shows that, the desired amount of active and reactive powers has been independently controlled and the implementation is successfully verified the effectiveness of the proposed c...
Active and Reactive Power control operation of DFIG forWind Power Generation Using Fuzzy Logic
The output power of the present wind turbine is continuously increasing. Due to this Double fed Induction generators are gaining more attention especially in the field of wind power generation due to many advantages and rapid development in both power electronics and control strategies. Vector Control of doubly fed induction generator for variable speed wind power generation is used widely now days. The Control scheme used is stator flux oriented control for rotor side converter control and grid voltage vector control for grid side converter control for the control of active and reactive powers of the DFIG under variable speed operation. The scheme implemented uses Conventional PI controllers as well as Fuzzy logic controllers for the rotor side converter control to control active and reactive power and optimize the power generation from the DFIG.
Power Control of Wind Energy Conversion System with Doubly Fed Induction Generator
Journal of Energy, 2022
Wind power is one of the most efficient, reliable, and affordable renewable energy sources. The Doubly Fed Induction Generator (DFIG) is the most commonly used machine in wind power systems due to its small size power converter, reduced cost and losses, better quality, and the ability for independent power control. This research work deals with the power control of this machine by modeling and designing a suitable controller. Vector control is used to control the stator and grid active and reactive powers along with the proportional integral (PI) controller, fuzzy logic controller (FLC), and PI-fuzzy controllers. Modeling and simulation of the system are done using MATLAB Simulink, and the behavior of the machine with each controller is examined under variable wind speeds. Comparative analysis based on reference power tracking, stability, and grid code requirement fulfillment has been conducted. The obtained results show that among the three controllers, the PI-fuzzy controller meets the required specification with better performance, small oscillation, minimum overshoot, better reference tracking ability, and creating a stable and secure system by fulfilling grid code requirements. This study can be important to further insight into DFIG-based wind turbine systems.
This paper presents the performance analysis of Fuzzy Logic Controller through unbalanced voltage with the controlled output of doubly-fed induction generator produced by wind energy conversion system. A fuzzy logic controller is designed using MATLAB/Simulink, for the control strategy of rotor side converter (RSC) and grid side converter (GSC) is so that, the torque and dc voltage are remain stable during unbalanced loading. The machine uses two back to back converter controllers, to overcome problem due to harmonics used with various control schemes. Moreover, a THD analysis confirms the best quality of grid injected power.
Modeling of doubly fed induction generator based wind energy conversion system and speed controller
Journal of Energy Systems, 2021
In this paper, modeling of doubly fed induction generator (DFIG) based wind energy conversion system (WECS) and generator speed controller are presented. The System Identification Toolbox of MatLab is used to develop the linear model of the WECS by considering the wind speed as input and speed of the generator as output. Two models, namely Auto Regressive with eXogenous Input (ARX) and Auto-Regressive Moving Average with eXogenous Input (ARMAX), are estimated. We used the ARX221 model structure with the best fit of 84.31%, Final Prediction Error (FPE) of 0.0433 and Mean Square Error (MSE) of 0.0432. The Ziegler-Nichols (Z-N) method and the fuzzy logic technique are employed in the proportional integral derivative (PID) controller design to control the speed of the generator. The classical Z-N PID used for the responses of the system is observed to be insufficient for both uniform and variable inputs, hence, a better response has been obtained by applying the fuzzy logic-based PID controller. The present study proves that the fuzzy logic based control enhances the speed regulation of generator in the WECS by overcoming the effect of varying wind speed.
Fuzzy logic rotor currents control of a DFIG-based wind turbine
— this paper proposes the control of the rotor-side PWM converter of a variable speed doubly fed induction generator based wind turbine using rotor flux oriented vector control based fuzzy logic. Two fuzzy logic controllers were used to control the direct and the quadratic rotor currents as an alternative of the conventional proportional and integral (PI) controller to overcome any disturbance. The system' model is developed in MATLAB/SIMULINK.