Implementation of a fuzzy logic controller for wind energy induction generator DC link scheme (original) (raw)
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Fuzzy logic based indirect Vector control of Induction generator in Wind Energy Conversion System
In order to meet increasing power demand, taking into account economical and environmental factors, wind energy conversion is gradually gaining interest as a suitable source of renewable energy. The modeling of Wind Energy Conversion System(WECS) is done in MATLAB-SIMULINK. The dynamic d-q model of the induction generator is developed from the fundamentals in a modular approach in simulink. A fuzzy logic controller is designed for indirect vector control of induction generator. The vector control or field oriented control of induction motor and synchronous motors brought a renaissance in the high performance control of ac drives. In the vector control, the induction motor can be controlled like a separately excited dc motor. In a separately excited dc motor, because of decoupling, when the field current I f is controlled, it affects the field flux only but not the armature flux. Thus giving fast transient response in the dc drive .Because of the inherent coupling problem, an induction motor cannot give such a fast response. The dc machine like performance can also be extended to induction motor if the machine control is considered in the synchronously rotating reference frame (d e-q e), where the sinusoidal variables appear as dc quantities in steady state. The speed control loop uses a fuzzy logic controller to produce a direct axis current reference I d * which controls the motor flux. The motor torque is controlled by quadrature axis current reference I d *. The correctness and effectiveness of the proposed fuzzy logic controller are verified by the simulation results.
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 wind energy conversion system
J. Renewable Sustainable Energy, 2013
This paper proposes a variable speed control scheme of grid-connected wind energy conversion system, WECS, using permanent magnet synchronous generator. The control algorithm tracking the maximum power for wind speeds below rated speed of wind turbines (WTs) and ensure the power will not exceed the rated power for wind speeds higher than the rated speed of wind turbine. The control algorithm employed fuzzy logic controller (FLC) to effectively do this job. The WT is connected to the grid via back-to-back pulse width modulationvoltage source converter (PWM-VSC). Two effective computer simulation software packages (PSIM and SIMULINK) have been used to carry out the simulation effectively where PSIM contains the power circuit of the WECS and MATLAB/SIMULINK contains the control circuit of the system. The control system has two controllers for generator side and grid side converters. The main function of the generator side controller is to track the maximum power from wind through controlling the rotational speed of the turbine using FLC. In the grid side converter, active and reactive power control has been achieved by controlling d-axis and q-axis current components, respectively. V C 2013 American Institute of Physics. [http://dx.
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.
Nonlinear Control Based on Fuzzy Logic for a Wind Energy Conversion System Connected to the Grid
International Journal of Renewable Energy Research, 2020
This paper presents modeling, analysis, and simulation of a variable-speed wind turbine control. Wind turbine emulator (WTE) based on induction motor (IM) is used to provide a controlled environment for wind power generation system control testing. The permanent magnet synchronous generator (PMSG) is tied to the grid via back-to-back converters. The aim of the study is threefold: the development of the WTE, extracting the maximum power, and feeding captured power to the grid. The methods of maximum power point tracking (MPPT) using Fuzzy logic is used to maximize the wind power capture at different wind speeds. The grid-tied inverter controlled by the fuzzy-PI controller is used for transferring power to the grid and maintaining DC-Link voltage constant. Simulation results performed on the Matlab/Simulink environment, verify the performance of the different control strategies and the usefulness of the approach .
Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System
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This paper analyses the modelling and control of the grid connected wind energy conversion system (WECS). The required power for grid connected load is effectively supplied by the proposed wind turbine, permanent magnet. And at the grid connected voltage source inverter utilizes a simple FLC with hysteresis current controller (HCC), which suits well for variable speed operation of a wind turbine with direct driven PMSG. Detailed modelling and controller strategies of overall system performance during the transient and dynamic conditions of the proposed system are analyzed to show the effectiveness of the controller strategies. The simulations have been done using MATLAB/Simulink.
2012
In this paper, a design fuzzy logic controller for a variable speed permanent magnet wind generator connected to a grid system through a LC-filter is proposed. A new current control method of grid side conversion is developed by integrating the fuzzy controller, in which both active and reactive power, delivered to a power grid system, is controlled effectively. The fuzzy logic controller is designed to adjust the gain parameters of the PI controllers under any operating conditions, so that the dynamic stability is enhanced. A new simple method, based on frequency response of the bode diagram, is proposed in the design of the fuzzy logic controller. To evaluate the controller system capabilities, simulation analyses are performed on a small wind farm model system including an induction wind generator connected to an infinite bus. The simulations have been performed using PSCAD/EMTDC. Simulation results show that the proposed control scheme is more effective for enhancing the stability of wind farms during temporary and permanent network disturbances and randomly fluctuating wind speed, compared with that of a conventional PI controller.
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.
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.