DFIG-based Wind Energy Conversion Research Articles

An Effective SST-FLC for Mitigation of Reactive Power Compensation of DFIG Based Wind Energy Conversion System

As wind-derived energy is increasingly incorporated into interconnected energy networks, this research attempts to control reactive power and regulates the voltages of wind energies. Since wind energy is volatile, it will generate unstable power and voltages. The reactive powers control of wind energy and faults on the grid is becoming more essential. One of a power system’s most crucial characteristics, it has a big impact on the stability of the whole thing. In terms of high-switching-frequency energy electronics generators, solid-state transformers (SST) may perform reactive power correction in WFs. The solid-state transformers suggested here connect wind farms powered by double-fed induction generators to the grids in place of energy transformers with real controllers in a conventional arrangement. The dual-active bridge converters and fuzzy logic controllers are both built into the solid-state transformers architecture. Power transmission between both sources of power can be accomplished using bidirectional DC–DC converters in either way. Modernized grid applications are the most promising ones for solid state transformers and increase the efficiency up to 96.61% with 0.91 Power factor of the entire power generation system with bit error rate of 0.2%. This will reduce the cost, improves the system’s efficiency, and also improves the system’s performance.

Investigation on Voltage Stability in a Distributed Generation Power Grid Influenced by PMSG and DFIG Based Wind Energy Conversion System

– Countries have pledged to meeting the demand for electricity while also generating electricity from renewable sources in order to slow environmental degradation. Compared to other forms of alternative energy, wind power has a comparatively small environmental impact despite its size. Instability on the grid is a common consequence of adding wind power. Voltage instability is a common type of stability issue. The wind is an unpredictable element of nature. Wind velocity shifts as a result of varying turbine rotation speeds. For back-to-back converters to effectively maintain a stable grid voltage, the DC link voltage and the grid voltage must be the same. In this study, we’ll look about how the DFIG and PMSG affect voltage stability. In this study, we test the voltage stability of WECS built on PMSG and DFIG in three distinct scenarios. The whole system is created and analyzed with the help of Matlab/Simulink. The results of this inquiry have far-reaching consequences. This research provides important insight into how renewable energy sources may be better integrated into the grid, which could radically alter the energy industry.

Optimal design of FoPID controller for DFIG based wind energy conversion system using Grey-Wolf optimization algorithm

Optimal design of FoPID controller for DFIG based wind energy conversion system using Grey-Wolf optimization algorithm

Control of a Dfig Based Wind Energy Conversion System for Maximum Power Extraction

Control of a Dfig Based Wind Energy Conversion System for Maximum Power Extraction

Analysis of optimized multilevel matrix converter for DFIG based wind energy conversion system

Wind power generation is an increasing trend worldwide. Multilevel converters in this regard are playing an essential role in high power system applications due to various features. In this paper, multi-objective optimization based multilevel matrix converter (MOMMC) is proposed for wind energy conversion system. The assessment of feasibility through the discussion of two objectives: reliability and cost have been considered in this study. Initially, the model of the two objectives is assessed against redundancy configuration and power loss. Then a multi-objective function is defined for achieving low cost and high reliability. The optimal topology for the matrix multi-level converter is determined using the membership function, and the solution is selected from the Pareto-optimal set. The reliability and cost analysis of the proposed MOMMC is performed. Simulation is carried out for the proposed multi-objective optimization based multilevel matrix converter using the PSIM software. To establish the validity of the proposed method, two different cases: 1) fixed and 2) variable speed of 9 MW doubly-fed induction generator-based wind energy system are considered. The results show the superiority of the proposed method over the others .

A Novel Seven Phase DFIG based Wind Energy Conversion System

A Novel Seven Phase DFIG based Wind Energy Conversion System

Artificial Intelligence Integrated Fractional Order Control of Doubly Fed Induction Generator-Based Wind Energy System

This paper proposes an artificial intelligence integrated (AI) fractional order robust control for a DFIG based wind energy conversion system. To reduce the chattering phenomena in the excitation signal, fuzzy system is employed for the adaptive adjustment of the discontinuous control gain while preserving the robustness of the closed-loop system. The stability of the closed loop system with fuzzy fractional order robust control (FFORC) is ensured using fractional order Lyapunov system. The proposed FFORC control scheme is tested using processor in the loop (PIL) experiment.MATLAB/Simulink environment is used to emulate DFIG based wind energy system and a Texas Instrument (TI) DSP320F37D processor is used for interfacing the proposed control scheme with the emulated DFIG model in Simulink environment. System performance under the proposed FFORC scheme is compared with classical sliding mode control(SMC).The experimental results justifies the superiority of the proposed FFORC control scheme under all test conditions.Under ideal condition and with the proposed FFORC control scheme, the speed tracking error is approximately zero while with SMC method the peak tracking error is 0.4 radian/s. Similarly the active and reactive powers tracking is smooth with the proposed control system, while with SMC method the reactive power oscillates on both sides of the reference and it reaches 0.01 kVAR on positive side and −0.01kVAR on the negative side of the plot.Under parameters variation, system with FFORC control scheme offers minimum steady state error which is about 0.01 radian/s, while in case of SMC with saturation function a peak value of 0.6 radian/s is recorded. In case of SMC with sgn function, the speed tracking error is around 0.1 radian/s.Moreover the proposed FFORC scheme exhibits minimum chattering.

Design and experimental implementation of a wind energy conversion platform with education and research capabilities

Today, pitch-controlled variable speed wind turbines (WTs) are the most installed Wind Energy Conversion (WEC) systems. They mainly use two types of generators: the permanent magnet synchronous generator (PMSG) and the double-fed induction generator (DFIG). In this paper, the overall configuration of DFIG-based WEC systems is reviewed and its control strategy is experimentally implemented using dSPACE DS1104 controller board. In this context, emphasis is placed on active power transfer management, reactive power compensation, and sinusoidal current injection into the main grid to improve power quality. The built lab-scale prototype allows validating different subsystems operation and demonstrating DFIG-based WEC capabilities.This paper specifically provides a thorough and consistent step-by-step modeling and control design methodology for a DFIG-based WEC simulation and experimentation platform that could be used for education and research addressing the wind energy conversion timely topic.

Study of automatic generation control in two area power system with DFIG-based wind energy conversion

<p class="IEEEAbtract">The main objective of Automatic Generation Control (AGC) is to keep the frequency within specified limits through primary and secondary control. In this study, a model of two area thermal non-reheat power system with integration of Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion (WEC) into both areas is presented. A Proportional Integral Derivative (PID) controller and a Fuzzy Logic Controller (FLC) have been applied and compared. The Proposed controllers are used to improve the dynamic response as well as to reduce or eliminate the steady-state error in Area Control Error (ACE). FLC has been offered better and faster performance over the PID controller. The results obtained prove the impact of DFIG-based WEC on AGC and confirm the participation of the DFIG in the frequency system.</p>

Grid connected DFIG based wind energy conversion system using nine switch converter

In this paper, an attempt is made to develop a speed sensor DFIG-based grid-connected Wind Turbine (WT) system with Nine switch converter (NSC) instead of Back-to-back converter (B2BC). The NSC the merits of reduced number of switching devices and cost, more efficient and reduced installation area over B2BC. a new control scheme, with the use of rotor speed sensors from generator, is proposed for NSC to track the maximum power point (MPP) by controlling the active power flow between rotor and grid under varying wind velocity at unity power factor (UPF). Furthermore, 120 o discontiunuous modulation scheme is also incorporated with proposed control scheme to minimize switching losses of the system. The complete study system has been simulated in MATLAB/simulink platform and all the simulation selults are analyzed in details to study the performance of the system. Simulation results ilustrate that the NSC based WT system and its proposed control scheme can work at its optimum power level for an extensive range of wind velocity and also competent to achieve independent control on flow of both active and reactive powers.

Application of Solid State Transformer in DFIG Based Wind Energy Conversion System

In wind energy systems the central frequency transformer goes about as a key component between the WECS and the grid As of late there have been endeavors to supplant this transformer by a power electronics based solid state transformer This paper aims to provide a setup that incorporates the doubly fed induction generator based wind energy conversion system and Solid state transformer operation The principle target of the proposed setup is to combine the turbine with the grid while giving upgraded efficiency and performance .In this configuration SST controls the real power flow to/from the rotor side converter therefore taking out the grid side converter. The proposed framework meets the ongoing grid code necessities of wind turbine activity under fault conditions A definitive simulation is done in MATLAB to approve the execution of the proposed configuration and a prototype of the setup is also built

Modelling and analysis of transient state during improved coupling procedure with the grid for DFIG based wind turbine generator

The aim of this study is to enhance DFIG based Wind Energy Conversion Systems (WECS) dynamics during grid coupling. In this paper, a system modelling and a starting/coupling procedure for this generator to the grid are proposed. The proposed non-linear system is a variable structure system (VSS) and has two different states, before and after coupling. So, two different state models are given to the system to analyse transient stability during the coupling. The given model represents well the transient state of the machine, through which, a behaviour assessment of the generator before, during and after connection is given based on simulation results. For this, a 300 kW DFIG based wind generation system model was simulated on the Matlab/SIMULINK environment. We judge the proposed procedure to be practical, smooth and stability improved.

Behavior of DFIG Based Wind Energy Conversion System Due to Short Circuit of DC-Link Capacitor

Behavior of DFIG Based Wind Energy Conversion System Due to Short Circuit of DC-Link Capacitor

Controller Design of DFIG Based Wind Turbine by Using Evolutionary Soft Computational Techniques

This manuscript illustrates the controller design for a doubly fed induction generator based variable speed wind turbine by using a bioinspired scheme. This methodology is based on exploiting two proficient swarm intelligence based evolutionary soft computational procedures. The particle swarm optimization (PSO) and bacterial foraging optimization (BFO) techniques are employed to design the controller intended for small damping plant of the DFIG. Wind energy overview and DFIG operating principle along with the equivalent circuit model is adequately discussed in this paper. The controller design for DFIG based WECS using PSO and BFO are described comparatively in detail. The responses of the DFIG system regarding terminal voltage, current, active-reactive power, and DC-Link voltage have slightly improved with the evolutionary soft computational procedure. Lastly, the obtained output is equated with a standard technique for performance improvement of DFIG based wind energy conversion system.

Modeling and Robust Control with Wind Speed Estimation by Artificial Neural Networks of a DFIG Wind Turbine Under Both Normal Operation and Grid Fault

For high performance and reliability of the wind turbine generator based on doubly fed induction generator connected to the electrical network through back-to-back converter, we propose in this paper the wind speed estimation algorithm based on artificial neural network in order to eliminate the need of using the anemometer to measure wind speed. On the basis of the ANN algorithm to estimate the wind speed, a developed control strategy consists on using the field oriented technique without any simplification in the DFIG model. The objective to be achieved with this control strategy is to maximize the captured power with the MPPT algorithm at low to medium wind speeds. The major advantage of the proposed control law is that when the stator voltage drops to an acceptable value, this control system is not too much influenced. Simulation results for 1,5 MW, with a DFIG based Wind Energy Conversion System (WECS) confirm the effectiveness and the performance of the global proposed approaches.

Rotor Side Converter Control of DFIG based Wind Energy Conversion System

Rotor Side Converter Control of DFIG based Wind Energy Conversion System

A novel voltage and frequency controller for standalone DFIG based Wind Energy Conversion System

This paper presents a new speed-sensorless control strategy for a stand-alone doubly-fed induction generator supplying energy to an isolated load. The method is based on the root mean square (rms) detection scheme. The generated stator voltage is controlled via rotor currents. Amplitude of stator voltage and its frequency are controlled simultaneously. The output signals from the voltage controllers are the reference signals for the rotor current amplitude and frequency of the stator voltage is regulated with the help of frequency control loop. This developed direct voltage control method is applicable for both the balanced and unbalanced load and also for standalone and grid connected mode. The control pulses for the rotor side converter is supplied by the hysteresis controller which is operated on the error signal calculated between actual and reference rotor currents. This paper also provides the brief idea about the voltage and frequency control on modern Autonomous DFIG based Wind Energy Systems via single phase mathematical model of standalone DFIG system. A short state-of-the-art review on mechanical position/speed sensorless control schemes for autonomous DFIG based WESs is presented, which helps the present researcher and students working in this area. These include stator flux oriented control techniques; direct voltage control techniques; MARS observer based techniques for autonomous DFIG-based variable-speed WESs. Simulation results obtained from a 2MVA DFIG system, prototype in MATLab/Simulink, are presented and discussed in this paper.