Modeling and control of wind turbine powers by – A perspective PI and fuzzy logic controller (original) (raw)
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In this paper, we develop the overall model of the wind energy conversion system (WECS) structure based on induction generator (IG), and propose a study of the electrical parts (induction machine and static converter). Our study is developed on a wind conversion system in order to produce optimum power and to extract the maximal wind power. The goal of this paper is to control the power generated by the WECS and transmitted to the grid. We propose a new control strategy based on fuzzy logic in order to control the power generated by the WECS. The main drawback is that the WECS is highly nonlinear, and thus a nonlinear control strategy is required. An adaptive fuzzy power controller is proposed to overcome this problem. A simulation study is done to prove the validation of the strategy used in power control.
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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.
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the voltage amplitude to a constant value of 380 V and 50 Hz for loads supplied from a wind/battery hybrid energy system are explained and compared. The quality of the power produced by the wind turbine is affected by the continuous and unpredictable variations of the wind speed. Therefore, voltage-stabilizing controllers must be integrated into the system in order to keep the voltage magnitude and frequency constant at the load terminals, which requires constant voltage and frequency. A fuzzy logic-based controller to be used for the voltage control of the designed hybrid system is proposed and compared with a classical PI controller for performance validation. The entire designed system is modeled and simulated using MATLAB/Simulink GUI (graphical user interface) with all of its subcomponents.
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the voltage amplitude to a constant value of 380 V and 50 Hz for loads supplied from a wind/battery hybrid energy system are explained and compared. The quality of the power produced by the wind turbine is affected by the continuous and unpredictable variations of the wind speed. Therefore, voltage-stabilizing controllers must be integrated into the system in order to keep the voltage magnitude and frequency constant at the load terminals, which requires constant voltage and frequency. A fuzzy logic-based controller to be used for the voltage control of the designed hybrid system is proposed and compared with a classical PI controller for performance validation. The entire designed system is modeled and simulated using MATLAB/Simulink GUI (graphical user interface) with all of its subcomponents.
IJERT-To Improve the Active Power in Wind Power Generation by Using Fuzzy Logic Controller
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/to-improve-the-active-power-in-wind-power-generation-by-using-fuzzy-logic-controller https://www.ijert.org/research/to-improve-the-active-power-in-wind-power-generation-by-using-fuzzy-logic-controller-IJERTV3IS10012.pdf The output power of the present wind turbine is continuously increasing. Due to this Double fed Induction generators (DFIG) 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 powers of the DFIG under variable speed operation. The scheme implemented uses Fuzzy logic controllers for the rotor side converter control to control active power and optimize the power generation from the DFIG.
Fuzzy with PI Controller based Analysis of Wind Energy Conversion System
Nowadays energy need is mainly depends on conventional sources. But due to bounded availability of the sources, the analysis has shifted to renewable energy sources. In this wind energy is considered as the one of the best technologies. The wind energy conversion system (WECS) is now fulfilling the both grid-connected as well as stand-alone load demands. However, the wind flow was unpredictable, in order to maintain the continuous supply a suitable storage technique is required, for that a hybrid wind-battery system is considered for the desired load demand. In this paper a 4 KW hybrid wind and battery system is analyzed to meet the load demand of 3 KW stand-alone DC loads. On battery side the battery charger controller was designed based on the turbine maximum power point tracking and the state of charge of battery. From the mechanical side, the pitch control mechanism will look after the WECS. Both the control schemes are studied by using the FUZZY with PI environment at different wind profiles in MATLAB/SIMULINK. Keywords: Wind Energy Conversion System (WECS), Maximum Power Point Tracking (MPPT), State of Charge (SOC), Wind Turbine (WT), Pitch Control Mechanism and Fuzzy with PI Controller ________________________________________________________________________________________________________
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.
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.
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 .
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.