Fuzzy Logic Control of Double-Fed induction Generator Wind Turbine (original) (raw)

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.

Design Fuzzy Logic Controller for Doubly-Fed Induction Generator Based Wind Power Generation System: A Comparison

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.

Control for Variable Speed Wind Turbine Driving a Doubly Fed Induction Generator using Fuzzy-PI Control

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.

The fuzzy logic controllers synthesis method in the vector control system of the wind turbine doubly-fed induction generator

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...

A New Fuzzy Direct Power Control of Doubly-Fed Induction Generator in a Wind Power System

2021

This paper presents a new fuzzy direct power control of double-fed induction generators (DFIG) in the wind power system. The most important issue in the application of DFIG generators is proper control of the active and reactive powers of these generators, which are generally carried out by vector control or direct torque/power control methods. Direct power control (DPC) directly controls the active and reactive powers of the stator, and stems from results from direct torque control. To use the vector control method, it is necessary to use conventional PI controllers the main disadvantage being the controller robustness due to the nonlinear behavior of the wind turbine and blade oscillations, and it is unavoidable that after a while, the controller's coefficients need to be updated. Therefore, the main purpose of this paper is to present a direct power control method based on fuzzy construction to overcome the mentioned problem. Simulation results of the proposed strategy are ex...

Dynamic response improvement of doubly fed induction generator-based wind farm using fuzzy logic controller

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 algorithm of grid connected doubly fed induction generator driven by vertical axis wind turbine in variable speed

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.

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

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.

Deadbeat–fuzzy controller for the power control of a Doubly Fed Induction Generator based wind power system

Isa Transactions, 2019

This paper proposes a Fuzzy Logic Controller for improvement of the steadystate response of a Doubly Fed Induction Generator used in a wind energy system, and governed by means of a Deadbeat Power Controller. The generator mathematical model is consistent with the Stator Flux-oriented strategy in the synchronous reference frame. Different simulation scenarios were developed in Matlab/Simulink to evaluate the dynamic and the steady-state responses. In order to obtain experimental results, the simulated scenarios were repeated by means of a test bench and a Digital Signal Processor board. These results demonstrate that the response still follows the power references imposed, despite the fact that the generator parameters (R r , L s and L m) were varied in a 30 %. A lower steady-state error is also achieved when compared with a Deadbeat and a classical PI controller. All the aforementioned evidence the proper application of this Fuzzy Controller in a wind power system based on a Doubly Fed Induction Generator.

Improving Stability for Independent Power Control of Wind-Turbine Doubly Fed Induction Generator during Grid Unbalance With Pi-Fuzzy Controller

Journal of the Japan Society of Applied Electromagnetics and Mechanics, 2013

This paper presents modified SFOC control of Doubly Fed Induction Generator (DFIG) wind turbine during grid unbalance for improved stability by using hybrid PI-Fuzzy controllers and eliminating negative sequence components. The system consists of a common induction generator with slip ring and power electronic converters at both stator and rotor sides. The modifications are applied to rotor side converter for active and reactive power controls of wind turbine. The turbine, generator and control units are also described. The investigation is based on MATLAB/SIMULINK. Simulation results show improved stability of active and reactive powers delivered by DFIG.