Comparative Study of two control strategies proportional integral and fuzzy logic for the control of a doubly fed induction generator dedicated to a wind application (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.
Analysis of PI and Fuzzy Controller for DFIG under Variable Wind Speed Condition
Wind power contributes a significant proportion of consumers' increasing electrical power demands. Due to the current requirements for the expansion of renewable energy as sources of electrical energy, wind energy conversion is getting much interest all over the world. In present scenario the variable speed doubly fed induction generator is the most prolific concept. There are a number of techniques by which we can control grid side and rotor side of DFIG. This paper develops simple doubly Fed Induction generator (DFIG) coupled with wind turbine using PI control and fuzzy logic control. Finally the results of both techniques are compared. Keywords: Doubly-fed induction generator (DFIG), wind turbine, wind energy, grid side controller (GSC), rotor side controller (RSC), Variable speed wind turbine, PI controller, Vector Control(VC), Fuzzy logic control(FLC) _______________________________________________________________________________________________________
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.
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...
In recent years power generation from renewable energy sources has gained importance in view of supplementing the power obtained from conventional sources. Out of all the renewable energy sources, wind energy conversion system is the greatest contributor to the power generations. During the recent years use of variable speed of the wind turbine is gaining much more importance than the fixed speed wind turbine. Important factors regarding variable speed operation are that it is easy to control and is even more efficient. Therefore, it is important to study the machine modelling of the double fed induction generator (DFIG) for a wind energy conversion system (WECS). One of the major areas in renewable power control includes the grid connected DFIG based WECS. Typically a DFIG based WECS consists of a Wind turbine connected to a DFIG and then the turbine-coupled DFIG is connected to the grid through a power electronic AC-AC converter. In this Paper a grid connected wind energy conversion system using a simple PI controller is developed and then a fuzzy PI controller is designed to resolve the problem. Finally a comparison has been made to fuzzy controller from the simulation results, observing the efficiency of variation of DC link voltage variation.
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.
This paper discusses the control of a new topology of a brushless doubly-fed induction generator (BDFIG) using back-to-back PWM converters and its application to variable speed wind energy generation. The goal of BDFIG control is to achieve a similar dynamic performance to the doubly fed induction generator (DFIG), exploiting the well-known induction motor vector control philosophy. Here hybrid fuzzy logic proportional plus conventional integrator-derivation (Fuzzy P+ID) Controller for a BDFIG used in wind energy systems. The performance of Fuzzy P+ID has been investigated and compared with the conventional PID controller based BDFIG. The simulation results show that fuzzy P+ID controller is superior to PID controller under dynamic condition
E3S Web of Conferences, 2020
The article is devoted to the improvement of control systems for wind turbines by developing fuzzy controllers with higher transient characteristics and low computational costs of identification in comparison with the applied PI controllers. Based on the self-organization method, a fuzzy speed controller of the doubly-fed induction generator (DFIG) of a wind turbine was synthesized, which uses a zero-order Sugeno fuzzy inference system and is made in the form of a block-oriented Wiener model. This regulator is an element of the vector control system of the transistor converter on the rotor side. The results of simulation modeling of the fuzzy controller showed that it provides a lower transition time compared to the PI controller, by 53.59% during acceleration and by 79.76% during braking, and 23.81% less error speed deviations from the reference signal. Such indicators can minimize losses while maintaining the maximum output power point of the power plant. The implementation of the...
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.
IJERT-To Improve the Active Power in Wind Power Generation by Using Fuzzy Logic Controller
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/to-improve-the-active-power-in-wind-power-generation-by-using-fuzzy-logic-controller https://www.ijert.org/research/to-improve-the-active-power-in-wind-power-generation-by-using-fuzzy-logic-controller-IJERTV3IS10012.pdf The output power of the present wind turbine is continuously increasing. Due to this Double fed Induction generators (DFIG) 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 powers of the DFIG under variable speed operation. The scheme implemented uses Fuzzy logic controllers for the rotor side converter control to control active power and optimize the power generation from the DFIG.