Power Control of Wind Turbine based on Fuzzy Controllers (original) (raw)
Related papers
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 PI controller for wind Energy conversion system
2012
A Wind Energy Conversion System (WECS) differs from a conventional power system. The power output of conventional system can be controlled where as power output of a WECS depends on the wind. This paper describes fuzzy logic control of induction generator speed in wind turbine application. The aim of fuzzy controller is to established maximum power delivery to the grid from available wind power. Fully-controlled wind turbine which consists of induction generator and back-to-back converter is under estimate. This configuration has full control over the electrical torque, full control of the speed, and also supports reactive power compensation and operation under grid disturbances. Fuzzy logic control algorithm has been applied and validated by detailed simulation in MATLAB/Simulink. All system components have been described in detail. All power system components are simulated in MATLAB software for fuzzy control. For studying the performance of controller ,different abnormal condition are applied even the worst case .simulation result can prove the excellent performance of fuzzy control as improving power quality and stability of wind turbine.
Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System
2017
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.
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 .
Power fuzzy adaptive control for wind turbine
International Journal of Electrical and Computer Engineering (IJECE), 2020
In recent years, wind energy has become one of the most promising renewable energy sources. The doubly-fed induction generator (DFIG) is currently the most common type of generator used in wind farms. This paper describes an approach for the independent control of the active and reactive power of the variable-speed DFIG. This paper deals with the control of the active and reactive powers in a DFIG designed for a wind system. The simulation model including a 7 KW-DFIG driven by a wind turbine, a PWM inverter and the proposed control strategy are developed and implemented using Matlab Simulink.
An Adaptive Control Strategy For Wind Energy Conversion System Using Neuro-Fuzzy Logic Controller
2014
This paper proposes a new adaptive control strategy for converting a wind energy system.The generator used is permanent magnet synchronous generator. The converter for dc conversion is pulse width modulated current source converter. The proposed PMSG is highly efficient and reliable. Power generated by PMSG is modified according to the wind velocity and load profile by the converter. The adaptive control for pulse width modulated current source converter uses neurofuzzy logic controller. Neuro-fuzzy controller uses neural network learning techniques to tune membership function while keeping semantics of fuzzy logic controller intact. The proposed controller is self- tuned and adapt to changes in wind speed. Space vector modulation is used for modulating the output of the PWM-CSC. Finally a model reference is used to reduce the power system fault due to short circuit
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/permanent-magnet-synchronous-generator-with-fuzzy-logic-controller-for-wind-energy-conversion-system https://www.ijert.org/research/permanent-magnet-synchronous-generator-with-fuzzy-logic-controller-for-wind-energy-conversion-system-IJERTV2IS111207.pdf This paper deals with the fuzzy logic based voltage and speed controller for autonomous wind energy conversion system based on permanent magnet synchronous generator. The system consists of back-back connectedVSC anda VSI along with a battery energy storage system at itsintermediate dc link. Two fuzzy controllers are proposed the first one is for speed controller and second one is for voltage controller. These VSC and VSI are operated invector control mode. The battery energy storage system is used for load leveling and to ensure the reliability of the supply to consumersconnected at load bus under change in wind speed. The dynamic performance of the proposed controller is tested under fall in wind speed, increase in wind speed and fixed speed with balanced/unbalanced non-linear load.
Modeling and control of wind turbine powers by – A perspective PI and fuzzy logic controller
Utilization of the electrical energy is increasing day by day, and to satisfy the load demanded by the load centres has to satisfy the generating units. As the fossil fuels are depleting day by day, in order to save these fossil fuels we have to use the “Renewable energy sources”. Developing countries like Algeria, India, Nigeria, Ethiopia etc., are having tremendous wind energy, which is the most promising sources of energy. A case study has been conducted on the wind turbines that are controlled to provide constant active and reactive power during a certain period. In this paper, we model three different controllers of active and reactive power for horizontal axis wind turbine in order to compare their performance: the direct method with a PI and a Fuzzy Logic controller, and also the indirect method control with powers feedback. We aim to improve performance and reduce the number of controllers used. A series of simulation results obtained by Matlab / Simulink software are compared and analyzed.
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.