IJERT-To Improve the Active Power in Wind Power Generation by Using Fuzzy Logic Controller (original) (raw)
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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.
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.
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.
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.
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.
Fossils fuels will be the main fuels for the thermal power there is a fear that they will get exhausted eventually in next century therefore many countries are trying systems based on non-conventional and renewable sources. Fuzzy logic control is proposed for windmill generators to reduce the total harmonic distortion present in the conventional method which uses PI controller. PI controller is used only for linear loads. The proposed system consists of a doubly fed induction generator based variable speed wind energy conversion systems (WECS) consisting two back to back inverters with a common dc link. The gate pulses for the two converters are controlled by fyzzy logic controller. The generator side inverter controls its speed to extract maximum power at different speeds, while the grid side inverter delivers the renewable power to the power to the grid with 3P4W nonlinear load compensation simultaneously. Moreover, in the proposed system, the grid side inverter is also utilized as a harmonic, a reactive power, and unbalanced load compensator for 3P4W nonlinear load. This enables grid to always supply /absorb a balanced set of fundamental currents at unit power factor. The effectiveness of the proposed scheme is developed and simulated using MATLAB/ Sim Power System software.
Wind energy has emerged as one of the sustainable power sources having extraction of maximum power as its major challenge. Thus the main purpose of this paper is to get the best control mechanisms for maximum power extraction in Doubly Fed Induction Generator (DFIG) based wind turbine. The proposed techniques used allow the generator to track the optimal operation points under a variable condition upon the model of DFIG, Wind Turbine, Machine and Grid Side Convertors, and controllers. This is carried on the MATLAB-Simulink platform with the main control algorithms of a Proportional-Integral (PI) Controller, Fuzzy Logic Controller (FLC), Sliding Mode Controller (SMC), and Super Twisted Sliding Mode Controller (STSMC). The most extensively used conventional PI controller in the real wind sector having a high overshoot with a prolonged settling time requires modification for every change in reference pattern. Hence, to ensure robustness against external disturbances, FLC and SMC are ap...
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...