Transient state analysis of a doubly-fed induction generator under three phase short circuit

1991 ◽  
Vol 6 (1) ◽  
pp. 62-68 ◽  
Author(s):  
M.S. Vicatos ◽  
J.A. Tegopoulos
Keyword(s):  
Short Circuit ◽  
Transient State ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Three Phase ◽  
Doubly Fed ◽  
State Analysis

Diagnosis of Fault in Doubly-Fed Three-Phase Induction Generator in Wind Power Applications

2021 ◽  
Vol 69 (1) ◽  
pp. 44-50
Author(s):  
Amina HOCINE ◽  
Noureddine GAZZAM ◽  
Atallah BENALIA
Keyword(s):  
Sliding Mode ◽  
Short Circuit ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Residual Vector ◽  
Wind Energy Conversion ◽  
Wind Generators ◽  
Detection Approach ◽  
Three Phase ◽  
Doubly Fed

Inter-turn short-circuits faults are one of the most common problems in Induction machines, especially in the Doubly-Fed Induction Generator Based-Wind Energy Conversion system. Accurate and fast fault diagnosis and detection minimize the down-time of the units as further damages can be prevented. In this paper, a robust fault detection approach for Doubly-Fed Induction Generator (DFIG) based on wind generators is proposed. The faults’ smart diagnosis and detection are based on the Sliding Mode Observer and Second Order Sliding Mode Control. The observer generates a residual for detection of stator Inter-Turn Short Circuit faults which can affect a system model. A decision system is used to process the residual vector to detect faults. In order to shed more light on the designed approach performances regarding the inter-turn short-circuit fault occurrence, simulations were implemented in MATLAB/Simulink environment.

scholarly journals Three-Phase Steady-State Model of Doubly Fed Induction Generator Considering Various Rotor Speeds

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 9479-9488 ◽  
Author(s):  
Yuntao Ju ◽  
Fuchao Ge ◽  
Wenchuan Wu ◽  
Yi Lin ◽  
Jing Wang
Keyword(s):  
Steady State ◽  
State Model ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Three Phase ◽  
Steady State Model ◽  
Doubly Fed

Study on operating modes of doubly fed induction generator with a short circuit fault on grid near the wind power plant

2021 ◽  
Vol 15 (1) ◽  
pp. 37-44
Author(s):  
Thai Hiep Le ◽  
◽  
Duong Hoang Phuc Tran
Keyword(s):  
Power Plant ◽  
Short Circuit ◽  
Active Power ◽  
Induction Generator ◽  
Wind Power Plant ◽  
Doubly Fed Induction Generator ◽  
Power Characteristic ◽  
Simulation Results ◽  
Doubly Fed ◽  
Short Circuit Fault

In this paper, the operating mode of a doubly fed induction generator (DFIG) wind turbine is studied in order to evaluate its fault ride-through and transient stability with a grid’s short circuit fault at near the wind power plant. Based on the structure of DFIG, external resistors are directly connected to rotor windings, then the generator operates as a wound rotor induction generator (WRIG) when there is a short circuit fault on the grid. According to the simulation results in Matlab, the active power is consumed on the crowbar resistor, causing the active power characteristic of generator is changed from high to low. As a result, the amount of excess mechanical energy is not much, so the generator be not accelerated significantly. These simulation results show that it is appropriate to use the crowbar resistor to change the power characteristic of the DFIG. Thanks to this change, the generator is still connected to the grid, stable operation both during and after a short circuit.

scholarly journals Short-Circuit Current Calculation and Harmonic Characteristic Analysis for a Doubly-Fed Induction Generator Wind Turbine under Converter Control

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2471 ◽  
Author(s):  
Jing Li ◽  
Tao Zheng ◽  
Zengping Wang
Keyword(s):  
Wind Turbine ◽  
Analytical Model ◽  
Short Circuit ◽  
Short Circuit Current ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Stator Current ◽  
Dc Bus ◽  
Bus Voltage ◽  
Doubly Fed

An accurate calculation of short-circuit current (SCC) is very important for relay protection setting and optimization design of electrical equipment. The short-circuit current for a doubly-fed induction generator wind turbine (DFIG-WT) under excitation regulation of a converter contains the stator current and grid-side converter (GSC) current. The transient characteristics of GSC current are controlled by double closed-loops of the converter and influenced by fluctuations of direct current (DC) bus voltage, which is characterized as high order, multiple variables, and strong coupling, resulting in great difficulty with analysis. Existing studies are mainly focused on the stator current, neglecting or only considering the steady-state short-circuit current of GSC, resulting in errors in the short-circuit calculation of DFIG-WT. This paper constructs a DFIG-WT total current analytical model involving GSC current. Based on Fourier decomposition of switch functions and the frequency domain analytical method, the fluctuation of DC bus voltage is considered and described in detail. With the proposed DFIG-WT short-circuit current analytical model, the generation mechanism and evolution law of harmonic components are revealed quantitatively, especially the second harmonic component, which has a great influence on transformer protection. The accuracies of the theoretical analysis and mathematical model are verified by comparing calculation results with simulation results and low-voltage ride-through (LVRT) field test data of a real DFIG.

scholarly journals Modeling of the magnetizing phenomena of doubly fed induction generator using neuro-fuzzy algorithm considering non-linearity

2019 ◽  
Vol 9 (1) ◽  
pp. 23
Author(s):  
Julia Tholath Jose ◽  
Adhir Baran Chattopadhyay
Keyword(s):  
Fuzzy Systems ◽  
Short Circuit ◽  
Sudden Change ◽  
Continuous Functions ◽  
Input Power ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Fuzzy Algorithm ◽  
Neuro Fuzzy ◽  
Doubly Fed

Doubly fed Induction Generators (DFIGs) are quite common in wind energy conversion systems because of their variable speed nature and the lower rating of converters. Magnetic flux saturation in the DFIG significantly affect its behavior during transient conditions such as voltage sag, sudden change in input power and short circuit. The effect of including saturation in the DFIG modeling is significant in determining the transient performance of the generator after a disturbance. To include magnetic saturation in DFIG model, an accurate representation of the magnetization characteristics is inevitable. This paper presents a qualitative modeling for magnetization characteristics of doubly fed induction generator using neuro-fuzzy systems. Neuro-fuzzy systems with one hidden layer of Gaussian nodes are capable of approximating continuous functions with arbitrary precision. The results obtained are compared with magnetization characteristics obtained using discrete fourier transform, polynomial and exponential curve fitting. The error analysis is also done to show the effectiveness of the neuro fuzzy modeling of magnetizing characteristics. By neuro-fuzzy algorithm, fast learning convergence is observed and great performance in accuracy is achieved.

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