A Novel Fuzzy Self-Adaption PI Control Method of the Var Compensation of Wind Generator

2012 ◽  
Vol 608-609 ◽  
pp. 785-789 ◽  
Author(s):  
Xian Ming Zou ◽  
Jun Yang ◽  
Hongyu Zhang ◽  
Yu Zhu
Keyword(s):  
Reactive Power ◽  
Control Method ◽  
Wind Farms ◽  
Normal Operation ◽  
Pi Control ◽  
Doubly Fed Induction Generator ◽  
Wind Generator ◽  
Novel Method ◽  
Doubly Fed ◽  
The Stability

Aiming at the phenomenon that the doubly fed induction generator (DFIG) can supply active power and absorb reactive power in the range of normal operation involves stability and transient, this paper proposes a novel method based on the fuzzy self-adaption PI control to control TCR to compensate the reactive power of wind farms required, and to improve the stability of voltage in wind farms. In this research, the wind generator model of being regarded as reactive load is established in Simulink of MATLAB. The results show that: the voltage and current distortion of the wind generator can be restrained well by using the SVC system proposed in this paper, and the stability of voltage and current in wind farms can be improved effectively.

Simulation and Control of Doubly Fed Induction Generator (DFIG) Used in Wind Turbines by Using Genetic Algorithm

2016 ◽  
Vol 10 (8) ◽  
pp. 1
Author(s):  
Faraz Chamani ◽  
Mohammad Satkin
Keyword(s):  
Power Systems ◽  
Wind Power ◽  
Wind Turbines ◽  
Reactive Power ◽  
Wind Farms ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Transient Faults ◽  
Active And Reactive Power ◽  
Doubly Fed

Wind energy is one of the extraordinary sources of renewable energy due to its clean character and free availability. With increase in wind power penetration, the wind farms are directly influencing the power systems. The majority of wind farms are using variable speed wind turbines equipped with doubly fed induction generators (DFIG) due to their advantages over other wind turbine generators (WTGs). Therefore, the analysis of wind power dynamics with the DFIG wind turbines has become a very important research issue, especially during transient faults. In this article, a controller is provided to control the active and reactive power of a wind system equipped with doubly fed induction generator. The generator is connected to the grid by a back to back converter that gets benefit from control system known as single periodic controller. Grid and generator side converters respectively control the generator speed and reactive power using proposed controller. In order to increase the accuracy of controller, we optimized its PI parameters using genetic optimization algorithm. Finally, simulation results conducted by the MATLAB software are shown. The results of simulation gained through this system, show the capability of proposed controller under error conditions for controlling active and reactive power and also elimination of harmonics caused by non-linear load.

scholarly journals Fault ride through capability of double fed induction generator for wind energy system

2021 ◽  
Author(s):  
Hussien Berisso
Keyword(s):  
Power System ◽  
Wind Turbines ◽  
Mechanical Energy ◽  
Wind Farms ◽  
Normal Operation ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Fault Ride Through ◽  
Grid Codes ◽  
Doubly Fed

Until recently it has been accepted that induction generator based wind turbines are disconnected from the power system in the event of a network disturbance. However, the increasing trend of connecting high penetrations of wind farms to transmission networks has resulted in the transmission system operators revising their grid codes for the connection of large MW capacity wind farms. The new grid codes require wind turbines to remain connected for a specified voltage disturbance on the network. Most of the wind generation plant being developed will use either fixed speed induction generator (FSIG) or doubly fed induction generator (DFIG) based wind turbines. The basics of using a doubly-fed induction generator (DFIG) to convert the mechanical energy of the wind into useful electrical power that can be used to supply electricity to any grid are presented. The ability of doubly fed induction generator based wind turbines to remain connected through power system disturbances is discussed. A crowbar protection system to provide a power system fault ride-through capability for doubly fed induction generator based wind turbines is also described. The dynamic behaviour ofDFIG wind turbines normal operation and during grid faults are simulated and assessed to verify the recommended method using a Matlab/Simulink developed model.

scholarly journals Power fuzzy adaptive control for wind turbine

2020 ◽  
Vol 10 (5) ◽  
pp. 5262
Author(s):  
Yacine Hocini ◽  
Ahmed Allali ◽  
Houari Merabet Boulouiha
Keyword(s):  
Wind Turbine ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Wind Farms ◽  
Doubly Fed Induction Generator ◽  
Variable Speed ◽  
Pwm Inverter ◽  
Active And Reactive Power ◽  
Doubly Fed ◽  
Fuzzy Adaptive

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.

scholarly journals Analysis and Design of Controller for Doubly-Fed Induction Generator in Wind Energy Application

2021 ◽  
Vol 10 (9) ◽  
pp. 12-18
Author(s):  
S. Sarfaraz Nawaz ◽  
◽  
S. Tara Kalyani ◽  
Keyword(s):  
Wind Energy ◽  
Power Flow ◽  
Reactive Power ◽  
Control Structure ◽  
Control Method ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Analysis And Design ◽  
Doubly Fed ◽  
Bidirectional Power Flow

Now a days, wind energy is developing as a significant wellspring of unpolluted and eco-friendly energy to supplant the enormous scope utilization of expendable wellsprings of energy. Wind Energy is pulling in enthusiasm of analysts everywhere throughout the globe as one of the most significant inexhaustible wellspring of energy. Be that as it may, the primary confinements lie in factor speed wind vitality. The under and above Synchronous speeds are obtained by utilizing a bidirectional power flow converter. In this paper a systematic transfer function model of a Doubly Fed Induction Generator based wind turbine structure connected to grid is developed in Mat lab/Simulink environment. The control structure of generator and that of turbine is developed and implemented. A simple approach is proposed to obtain the gains of Proportional Integral (PI) controller. A systematic detail of this control structure is presented. Under varying load conditions, it is observed that the reactive power is controlled and power factor of the system is maintained close to unity by using this scheme. Stator flux situated vector control method is conveyed for both stator and rotor side converters to supply autonomous control of active and reactive power and keep the DC link voltage consistent.

scholarly journals Kontrol Fuzzy PI untuk Pengaturan Kecepatan Angin oleh Wind Generator 1.42 Hp pada Wind Tunnel

2020 ◽  
Vol 8 (2) ◽  
pp. 288
Author(s):  
SEPTYANA RISKITASARI ◽  
BUDHY SETIAWAN ◽  
RATNA IKA PUTRI ◽  
WAHYU AULIA NURWICAKSANA
Keyword(s):  
Wind Tunnel ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Control Method ◽  
Control Design ◽  
Pi Control ◽  
Response System ◽  
Wind Generator ◽  
Turn Around Time ◽  
The Stability

ABSTRAKWind generator merupakan bagian terpenting dari pembuatan Wind tunnel, dimana fungsinya adalah sebagai sumber penghasil angin. Pada proses desain kontrol, tahap pertama adalah mengumpulkan data parameter empiris wind generator real menggunakan jenis motor induksi 1.42 hp pada wind tunnel. Pada penelitian ini dibuat simulasi pengontrolan kecepatan generator angin menggunakan metode kontrol fuzzy PI untuk meningkatkan hasil dari respon sistem kestabilan dengan titik setel 2 m/s hingga 10 m/s. Simulasi kontrol dilakukan dengan memanfaatkan jenis motor induksi yang sebanding dengan plant. Hasil respon sistem dengan menggunakan metode kontrol PI dan kontrol fuzzy PI yaitu kontrol fuzzy PI menghasilkan respon sistem yang lebih stabil dibandingkan dengan kontrol PI yang menghasilkan respons berosilasi. Settling time tercepat dengan kontrol fuzzy PI yaitu pada kecepatan angin 4 m/s sebesar 0.05 detik.Kata Kunci: Motor Induksi, Wind Generator, Wind Tunnel, Fuzzy PI ABSTRACTThe wind generator is the most important part of making a wind tunnel as a source of wind. In the control design process, the first step is to collect the real wind generator data parameters, namely the 1.42 hp induction motor in the wind tunnel. In this study, a simulation using a type of induction motor that is comparable to a plant with the fuzzy PI control method to improve the results of the stability of the response system with a set point of 2 m/s to 10 m/s. The results of the response system using the PI control and the PI Fuzzy control that is the PI Fuzzy control produce a more stable response system compared to the PI control which produces an oscillating response. The fastest turn around time with the PI Fuzzy control at a wind speed of 4 m/s is 0.05 seconds.Keywords: Induction Motor, Wind Generator, Wind Tunnel, PI Fuzzy

Dynamic response improvement of doubly fed induction generator-based wind farm using fuzzy logic controller

2012 ◽  
Vol 63 (5) ◽  
pp. 281-288 ◽  
Author(s):  
Hany M. Hasanien ◽  
Essam A. Al-Ammar
Keyword(s):  
Fuzzy Logic ◽  
Dynamic Response ◽  
Wind Farm ◽  
Fuzzy Logic Controller ◽  
Wind Farms ◽  
Normal Operation ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Simulation Results ◽  
Doubly Fed

Doubly fed induction generator (DFIG) based wind farm is today the most widely used concept. This paper presents dynamic response enhancement of DFIG based wind farm under remote fault conditions using the fuzzy logic controller. The goal of the work is to improve the dynamic response of DFIG based wind farm during and after the clearance of fault using the proposed controller. The stability of wind farm during and after the clearance of fault is investigated. The effectiveness of the fuzzy logic controller is then compared with that of a PI controller. The validity of the controllers in restoring the wind farms normal operation after the clearance of fault is illustrated by the simulation results which are carried out using MATLAB/SIMULINK. Simulation results are analyzed under different fault conditions.

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