Modeling of doubly fed induction generator based wind energy conversion system and speed controller (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.
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.
International Journal of Power Electronics and Drive System (IJPEDS) , 2020
This paper gives a observe evaluation of a whole wind energy conversion device, the gadget primarily based on a DFIG; to govern independently the active and reactive powers a vector manage with stator flux orientation of the DFIG is used. A comparative have a look at were achieved among the traditional PI controller and fuzzy logic manage to investigate its dynamic and static performances. This research paintings includes the examination of a section earlier, to offer effective assistance, to all those who have to make selections regarding the planning and implementation of wind electricity projects. The primary goal is to model the wind chain and the usage of styles of techniques for the manipulate of this generator to make certain an awesome law we began with the modeling of the wind chain then the modeling of the DFIG and then the usage of the two strategies for the regulation of the latter .the complete device is modeled and simulated inside the Matlab/ Simulink. The overall performance and robustness are analyzed and compared by using Matlab/Simulink. The results acquired show the great performances of the fuzzy logic to prove the pleasant of the strength and the stability of wind strength.
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) _______________________________________________________________________________________________________
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...
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.
Journal of Electrical Engineering
Doubly fed induction generator (DFIG) based wind farm is today the most widely used concept. This paper presents dynamic response enhancement of DFIG based wind farm under remote fault conditions using the fuzzy logic controller. The goal of the work is to improve the dynamic response of DFIG based wind farm during and after the clearance of fault using the proposed controller. The stability of wind farm during and after the clearance of fault is investigated. The effectiveness of the fuzzy logic controller is then compared with that of a PI controller. The validity of the controllers in restoring the wind farms normal operation after the clearance of fault is illustrated by the simulation results which are carried out using MATLAB/SIMULINK. Simulation results are analyzed under different fault conditions.
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.
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.