Characteristic Analysis of DFIG Wind Turbine under Blade Mass Imbalance Fault in View of Wind Speed Spatiotemporal Distribution

Abstract

The blade mass imbalance fault is one of the common faults of the DFIG (Doubly-Fed Induction Generator) wind turbines (WTs). In this paper, considering the spatiotemporal distribution of natural wind speed and the influence of wind shear and tower shadow effect, the influence of blade mass imbalance faults on the electrical characteristics of DFIG WTs is analyzed. Firstly, the analytical expressions and variation characteristics of electromagnetic torque and electromagnetic power under blade mass imbalance are derived before and after consideration of the spatiotemporal distribution of wind speed. Then simulations on the MATLAB/Simulink platform were done to verify the theoretical analysis results. The theoretical analysis and simulation results show that, considering the spatiotemporal distribution of wind speed and the influence of wind shear and tower shadow effect, the blade mass imbalance fault will cause fluctuation at the frequency of 1P (P = the frequency of rotor rotation), 3P, and 6P on electromagnetic power. Fluctuation at 1P is caused by mass imbalance while fluctuation at 3P and 6P are caused by wind speed spatiotemporal distribution; the amplitude of fluctuation at 1P is proportional to the degree of the imbalance fault. Since the equivalent wind speed has been used in this paper instead of the average wind speed, the data is more suitable for the actual operation of the WT in the natural world and can be applied for fault diagnosis in field WT operation.

Modelling Types 1 and 2 Wind Turbines Based on IEC 61400-27-1: Transient Response under Voltage Dips

“…In fact, the two different masses (large for the turbine rotor and small for the generator) are linked by a flexible shaft, which is characterised by its stiffness and damping [60]. Subsequently, the acceleration/deceleration of the rotor speed will be followed by the rotational speed of the generator, having periodic fluctuations of speed [61]. Moreover, according to Boukhezzar and Siguerdidjane [62], the use of this mechanical model is enough for transient stability analysis with WT, being thus considered as appropriated to represent their mechanical dynamics [63].…”

Blade imbalance fault identification in doubly fed induction generator through current signature analysis using wavelet transform

“…proposes a methodology for frequency control of microgrids using droop control in the generator-side converter (GSC) with battery energy storage system (BESS) [2]. The spatiotemporal distribution of natural wind speed and the effects of wind shear and tower shadow effect are analyzed along with blade mass imbalance fault in DFIG WTs [3]. Frequency spectrum and Lissajous curves are studied and analysed to detect WTs flaws [4].…”

Evaluation method of the turbine impeller imbalance based on the headroom analysis

“…Literature [8] was simulated in Matlab/Simulink environment and experimentally verified that the output power of a doubly-fed wind turbine fluctuated when the impeller mass was unbalanced and the fluctuation frequency was a multiple of the rotational frequency and its frequency. However, due to the presence of wind shear in nature and the tower shadow effect, pulsations in the pneumatic torque of the low-speed shaft in the wind turbine will be generated, which will lead to pulsations in the output torque of the generator shaft through the transmission of the gearbox and drive chain, and the wind turbine output power and electrical signals will fluctuate as a result [9]. As the size of wind turbines continues to increase, the aerodynamic characteristics of turbines are increasingly affected.…”