Wind turbine doubly-fed asynchronous machine diagnosis defects using stator and rotor currents lissajous curves

Hammouchi, Fatima El; Menzhi, Lamiaâ El; Saâd, Abdallah; Ihedrane, Yasmine; Bossoufi, Badre

doi:10.11591/ijpeds.v10.i2.pp961-970

Cited by 9 publications

(6 citation statements)

References 18 publications

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“…Currently, in the field of Lissajous curves, recent developments are realized in different domains such as the rotating machinery field [18], and defects diagnosis [19]. The method to get Lissajous curves of stator and rotor currents was explained in detail in previous paper [20]. Thanks to the curves obtained we will have an idea about defects kind impacting generator in wind conversion energy chain.…”

Section: Dfig Diagnosis Defects Methodsmentioning

confidence: 99%

DFIG Defects Diagnosis Method for Wind Energy Conversion Chain

Hammouchi¹,

Menzhi²,

Saâd³

2019

Adv. sci. technol. eng. syst. j.

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The research consists on developing method to diagnose electrical defects affecting wind turbine doubly-fed induction generator DFIG which constitutes a crucial part of wind energy conversion chain. First off all, we create a model of a non-defected wind conversion system based on mathematical equations introduced in Matlab Simulink. Then, we apply an indirect vector control stator field orientation in order to increase wind energy performance. With the aim of diagnosing the defects attacking wind turbine generator, we propose a method based on grouping of fast Fourier transform spectral analysis and Lissajous curves performed to generator stator and rotor currents. This diagnosis technique is applied to wind turbine in normal operation (non-defected generator) in order to have a reliable reference data for asynchronous generator behaviour. However, connected to the grid, wind turbine generator is affected by various faults occurring in electrical power networks. Therefore, the diagnosis method is applied also to a defected generator. Considering diversity of grid defects, we deal in the current paper with open stator supplying phases and open rotor feeding phases due to rotor side converter legs opening. Indeed, this diagnosis method allows diagnosing generator defects type and severity by comparing the resulting frequency spectrum analysis and Lissajous curves under abnormal condition operating to reference data obtained in case of non-defected generator. So, our proposed method contributes to DFIG defects identification and anticipation. The simulations had been accomplished using Matlab Simulink. These results proved the efficiency and effectiveness of the proposed DFIG diagnosis method for wind energy conversion chain.

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Section: Dfig Diagnosis Defects Methodsmentioning

confidence: 99%

DFIG Defects Diagnosis Method for Wind Energy Conversion Chain

Hammouchi¹,

Menzhi²,

Saâd³

2019

Adv. sci. technol. eng. syst. j.

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“…The SMC created based on the mathematical model of the PSGM. For the order system n=1, the manifold equations can be presented as [12]:…”

Section: The Sliding Mode Applied On Psgmmentioning

confidence: 99%

Sliding mode control design of wind power generation system based on permanent magnet synchronous generator

Laabidine

Errarhout

Bakkali

et al. 2021

IJPEDS

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This paper aims to implement a new contribution for sliding mode control (SMC) of permanent magnet synchronous generator (PMSG) for wind systems conversion with track the maximum power point tracking (MPPT) power. The SMC is a very popular approach due to its robustness in dealing with the non-linear electrical power systems. In this work, the application of the SMC control is by using the non lineare model of the PMSG. The objective of this work is to control stator active and stator reactive power, and the voltage-frequency for a better injection into the network. The results obtained show better robustness.

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“…The magnitude of the DFIG output active power can be adjusted by changing the amplitude of the AC excitation current. By using vector control technology, the amplitude and phase of the AC excitation current in the DFIG can be controlled simultaneously, and the active and reactive power can be controlled independently, which makes the control strategy more flexible and diverse [15]. The doubly fed induction motor is an ACexcited motor, where the stator is connected to the industrial frequency grid and the rotor is excited by adjustable AC.…”

Section: Performance Testing Of Doubly Fed Wind Power Systemsmentioning

confidence: 99%

Double-Fed Wind Power System Adaptive Sensing Control and Condition Monitoring

Peng¹,

Yang²,

Liu³

2021

Journal of Sensors

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This paper presents an in-depth study and analysis of improving the performance of doubly fed wind power systems using adaptive sensing control technology. The maximum wind energy tracking principle is analyzed in this paper with the wind turbine operation characteristics. Considering that the operation state and control strategy of a doubly fed wind power generation system is different before and after grid connection, the no-load simulation model and power generation simulation model are established based on the idea of separate modeling and time-sharing work. Combined with the respective control strategies and enabling modules, the overall simulation system is constituted for the continuous process from no-load operation to power generation operation. To analyze the chaotic mechanism of ferromagnetic resonance of wind farm power system and suppress the problem, based on the ferromagnetic resonance model of wind farm power system, analyze the basic conditions of the system into the chaotic state, consider the resonance phenomenon when external excitation acts, adopt the multiscale method to calculate the approximate solution at the resonance of main parameters and determine the steady-state solution and stability conditions, and explore the influence of external excitation on the dynamic characteristics of ferromagnetic resonance. In this paper, the inverse system approach, applied to the linearized decoupling of doubly fed wind power, a nonlinear, strongly coupled multivariable system, is derived for the no-load inverse system model and the inverse system model for the power control scheme and the speed control scheme to achieve maximum wind energy tracking for grid-connected power generation, respectively. The model further extended to fractional order to study the complex dynamical behavior of the system of different orders and flux chain subsquares. To suppress the system chaotic oscillation phenomenon, a fractional-order finite-time terminal sliding mode controller is proposed based on the frequency distribution model with time-frequency domain conversion, which achieves the suppression of chaotic phenomena in resonant overvoltage infinite time and is compared with the conventional sliding mode to confirm the effectiveness and superiority of the proposed controller. This paper explores and discusses the impact of adaptive sensing control technology on the practice of doubly fed wind power systems, to provide theoretical possibilities for the adaptive sensing control technology to be more effective for the practice of doubly fed wind power systems.

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Wind turbine doubly-fed asynchronous machine diagnosis defects using stator and rotor currents lissajous curves

Cited by 9 publications

References 18 publications

DFIG Defects Diagnosis Method for Wind Energy Conversion Chain

DFIG Defects Diagnosis Method for Wind Energy Conversion Chain

Sliding mode control design of wind power generation system based on permanent magnet synchronous generator

Double-Fed Wind Power System Adaptive Sensing Control and Condition Monitoring

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