a Fuzzy Logic Control of MMC Interfaced Dfig Based Wind Energy Conversion System (original) (raw)
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Experimental Investigation of DFIG-based Wind Energy Conversion System Using Fuzzy Logic Control
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In this paper, an experimental study of a Wind Energy Conversion System (WECS) is performed. A test bench with a power of 1.5 kW is setup. The system consists of a Doubly-Fed Induction Generator (DFIG) and a wind emulator based on a DC motor associated with a Maximum Power Point Tracking (MPPT) control. The proposed emulator is driven by a four quadrants DC/DC converter to produce a real wind turbine behavior. The aim of this work is to improve the DIFG performances by using the fuzzy logic-based intelligent controller. This control technic is designed to monitor the stator reactive and active powers. This can be achieved by the DFIG rotor side converter (RSC) using the field-oriented control. The experimental setup uses a dSPACE DS1104 device, MATLAB/Simulink software and a ControlDesk interface. The paper shows that, the desired amount of active and reactive powers has been independently controlled and the implementation is successfully verified the effectiveness of the proposed c...
Modeling and Optimum Power Control based DFIG Wind Energy Conversion System
International Review of Electrical Engineering
This paper proposes the modeling and control of Wind Energy Conversion System (WECS) based on the Double Fed Induction Generator (DFIG). In order to improve the effectiveness of the WECS, two independent control objectives can be stated. Thus, a control is designed to capture a maximum energy at certain wind speed range and to regulate the stator reactive power, contributing to the compensation of the power factor according to grid requirements. A cascade control structure based on Fuzzy logic controller (FLC) has been applied to perform these two main objectives. The control algorithm tracks the maximum power for wind speeds at rated speed of wind turbines and ensures the power will not go over the rated power for wind speeds over the rated value. Then, the Rotor Side Converter (RSC) is controlled to follow the optimal torque for a given maximum wind power, based on stator flux-oriented vector control. The control algorithm employs fuzzy logic controller to effectively achieve a sm...
international journal for research in applied science and engineering technology ijraset, 2020
Stabilization of wind farms (WF) is considered the main problem in the development of power systems Based on renewable energy sources. A comparative analysis of dynamic performances for like STATCOM and SVC is presented in this paper. Device like that Used to stabilize multi-Machine integrated power system. The Fuzzy logic controller (FLC) based FACTS devices enhance wind farm integrated multi-Machine power system (WFMPS) performance under different abnormal conditions. Three-phase short circuit occurred in system Considers different location system. MATLAB /Simulink is used for modelling and simulation for WFMPS. Results show improved system performance using SVC and FLC-based STATCOM on damping the oscillations, and improving system dynamic performance under fault condition. The comparison shows superior dynamic performance and fast fault recovery of STATCOM-based FLC through different fault conditions compared with SVC-based FLC.
International Journal for Research in Applied Science and Engineering Technology -IJRASET, 2020
In this paper, Fuzzy Logic Control (FLC) and Predictive Torque Control (PTC) methods are being introduced separately at grid side converter (GSC) of Doubly Fed Induction Generator (DFIG) based wind turbine. There are two parameters usually challenging for the power rating of a wind energy conversion system (WECS): improper control strategy for RSC, which is the primary reason behind current harmonics and for GSC, it is the reason behind voltage harmonics. In several wind turbine systems while maintaining these harmonics leads to improper electromagnetic torque. This two fold effect of controller is worst while using same controller for both GSC and RSC. Firstly, in this improved controller architecture, the general structure of conventional controller is retained and Fuzzy Logic is used to provide intelligence to the operation of controller. In several research works it has been seen different controllers for both side, resulting improved results. Secondly, a predictive methodology has been adopted which predicts torque and stator current to be used as reference signal in controlling GSC and a well-tuned PI controller for RSC. The results are being compared that shows significant reduction in harmonics at rotor side and grid side.
EAI Endorsed Transactions on Energy Web, 2018
The everyday benefits of environmentally friendly power sources urges to build their use to the bigger degree of which wind energy is the most accessible asset. This paper presents the plan of multimode hang control methodology based variable speed wind power age framework. The multimode hang control procedure improves the framework to work regarding the network framework and furthermore in the independent method of activity. The multimode control methodology utilizes the DC connect voltage regulator to control the DC interface capacitor voltage for working the framework side converter and current regulator to control current and force of the rotor side converter. The control methodology is investigated with the customary regulator like PI regulator, astute regulators like Fuzzy regulator, fake neural organization (ANN) and model prescient regulator (MPC) which predicts the future factors. A correlation has been performed with the previously mentioned various sorts of regulators based breeze power age framework regarding various boundaries. This paper likewise includes examination of various experiments with the previously mentioned regulators. The examination of various experiments with various regulators has been performed utilizing MATLAB 2013a and every one of the outcomes are checked.
Analysis of PI and Fuzzy Controller for DFIG under Variable Wind Speed Condition
Wind power contributes a significant proportion of consumers' increasing electrical power demands. Due to the current requirements for the expansion of renewable energy as sources of electrical energy, wind energy conversion is getting much interest all over the world. In present scenario the variable speed doubly fed induction generator is the most prolific concept. There are a number of techniques by which we can control grid side and rotor side of DFIG. This paper develops simple doubly Fed Induction generator (DFIG) coupled with wind turbine using PI control and fuzzy logic control. Finally the results of both techniques are compared. Keywords: Doubly-fed induction generator (DFIG), wind turbine, wind energy, grid side controller (GSC), rotor side controller (RSC), Variable speed wind turbine, PI controller, Vector Control(VC), Fuzzy logic control(FLC) _______________________________________________________________________________________________________
Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System
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Fuzzy logic rotor currents control of a DFIG-based wind turbine
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A Fuzzy-Pi Controller for Wind Turbine Driven Dfig Optimized Using Genetic Algorithms
Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, 2011
This paper presents the design of optimal TSK-fuzzy PI controller for the rotor side converter (RSC) of a doubly fed induction generator (DFIG) in a grid connected wind generation system. The optimization strategy is based on binary genetic algorithms. The controller is used to regulate the active and reactive power and hence extract maximum energy from the system under varying wind speeds. Pitch angle control is used to regulate the rotor angular speed while the active and reactive power are controlled by the rotor voltage supplied by the RSC. The stator flux oriented reference frame is adopted. A fuzzy-PI controller with a minimum rule base of nine rules is realized. The controller is implemented in C code as a dynamic linked library and simulated using LabVIEW. Simulation results are presented.
Extracting energy from the wind by wind turbine plays important role in the renewable energy systems. In the modern world, 'making smart city' is the key concept to generate alternative power. Industries, Institutions, Household appliances, etc. need continuous electrical power for their needs. It can be fulfilled by renewable energy sources such as wind, solar, etc. Designing of variable wind turbine includes capturing of wind energy, conversion from mechanical rotation into electrical, starting and stopping of turbine system. These are not limited to the above, but also considering aerodynamic blade design, design of complete wind system, design of hub, generator structure and so on. For better performance of wind turbine, a control strategy can be designed so that the performance of the Power electronic components and generator used in wind turbine system can be enhanced. An optimization technique has been stated here along with intelligent control design. In this article, design concepts, performance measurement and storage capacity of wind power systems and Intelligent Controllers have been explained.