Grid synchronization and maximum power point tracking for wind energy generation system with Brushless Doubly Fed Induction Generator

Voltolini, H.; Carlson, R.

doi:10.1109/iecon.2008.4758293

Cited by 12 publications

(6 citation statements)

References 10 publications

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“…Figs. 9 and 10 illustrate the simulation results of DPC in [18] and VC in [16], respectively. The results in Figs.…”

Section: Performance Verificationmentioning

confidence: 99%

“…However, most of the studies have addressed the control issues of BDFIG in either standalone or grid-connected operation. So far, only a few works have been conducted about the process of grid synchronisation [16][17][18]. In [16], a grid synchronisation controller of BDFIG based on PW flux-oriented vector control was presented, where an outer PW voltage-loop and an inner CW current-loop are applied.…”

Section: Introductionmentioning

confidence: 99%

“…So far, only a few works have been conducted about the process of grid synchronisation [16–18]. In [16], a grid synchronisation controller of BDFIG based on PW flux‐oriented vector control was presented, where an outer PW voltage‐loop and an inner CW current‐loop are applied. This method needs lots of tuning work and the dynamic performance is limited.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model predictive virtual power control of brushless doubly‐fed induction generator for fast and smooth grid synchronisation

Wei

Cheng

Luo

et al. 2019

IET Renewable Power Generation

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This study presents a model predictive virtual power control (MPVPC) method for brushless doubly-fed induction generator (BDFIG) during the grid synchronisation process. Predictive virtual power model is developed for the first time based on the defined virtual power and state-space equation of BDFIG. The control characteristics of virtual power are analysed to explain clearly how to realise grid synchronisation condition through the control of virtual power. The MPVPC controller is then designed to unify the control structure during the transition from the grid synchronisation mode to the grid connected mode, and only flux feedback needs to be changed between these two modes. The consistency between theoretical analysis and actual performance is confirmed by the results of both numerical simulation and experimental tests. As demonstrated, the proposed MPVPC controller can achieve fast and smooth grid synchronisation and excellent decoupled control of active power and reactive power. Nomenclature u sp , u r , u sc voltage vectors of power winding (PW), rotor, and control winding (CW) i sp , i r , i sc current vectors of PW, rotor, and CW ψ sp , ψ r , ψ sc flux vectors of PW, rotor, and CW ψ 1 , u g grid virtual flux and grid voltage vectors S p , S v PW-side and virtual complex power vectors P p , Q p PW-side active power and reactive power P v , Q v virtual active power and reactive power ω 1 , ω r , ω c electrical angular frequencies of grid, rotor, and CW θ p , θ 1 , θ g electrical angular positions of PW flux, grid virtual flux, and grid voltage p p , p c pole-pairs number of PW and CW R sp , R r , R sc resistances of PW, rotor, and CW L sp , L r , L sc self-inductances of PW, rotor, and CW L mp , L mc magnetising inductances of PW and CW

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“…Figs. 9 and 10 illustrate the simulation results of DPC in [18] and VC in [16], respectively. The results in Figs.…”

Section: Performance Verificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model predictive virtual power control of brushless doubly‐fed induction generator for fast and smooth grid synchronisation

Wei

Cheng

Luo

et al. 2019

IET Renewable Power Generation

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“…BDFTSIG applications have recently witnessed booming interest especially in the past 10 years [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. A high performance vector control based technique was elaborated showing acceptable performance yet at the penalty of less tolerance to machine parameters' variation [7].…”

Section: Introductionmentioning

confidence: 99%

Indirect Vector-Controlled Brushless Doubly-Fed Twin-Stator Induction Generator for Wind Energy Conversion Application

2020

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Wind energy conversion systems (WECSs) seem certain to play a major part in the world’s energy future due to their known high power capacity. The maximum power tracking is unavoidable due to the wind velocity variation and the non-linear relation with the turbine mechanical power. Commercial wind turbines are commonly coupled to either doubly-fed induction generators (DFIGs), wound rotor synchronous generators (WRSG) or permanent magnet synchronous generators (PMSGs). The DFIG-based WECS has several advantages over others. One of which is the power converter in such systems only deals with rotor power, hence the converter rating can run at reduced power rating. However, DFIG has the famous disadvantage of the presence of slip rings which leads to increased maintenance costs and outage times. Hence, brushless doublyfed induction machines (BDFIMs) can be considered as a viable alternative at the penalty of complicated controller requirement and limited decoupling control capability due to the machine’s non-linearity. In this paper, an enhanced performance indirect vector controller is proposed for WECS based on brushless doubly-fed twin-stator induction generator (BDFTSIG). The presented controller offers (i) simplified implementation, (ii) decoupled active-reactive power control, and (iii) a wide range of operation. The proposed controller performance is investigated under various loading conditions showing enhanced transient and minimal steady-state oscillations in addition to complete active/reactive power decoupling. The rigorous simulation and experimental results verify the claimed controller effectiveness under all possible operating conditions for sub- and super-synchronous speed range.

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“…Grid synchronization for the BDFIG has been demonstrated using vector control in [2,3]. Direct power control was used to synchronize the cascaded brushless doublyfed induction generator, a very similar machine to the BDFIG, in [4].…”

Section: Introductionmentioning

confidence: 99%

Vector-controlled Grid Synchronization for the Brushless Doubly-Fed Induction Generator

Broekhof

Tatlow

McMahon

2014

7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014)

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To further demonstrate the applicability of the brushless doubly-fed induction generator to wind turbine applications, a grid synchronization procedure is developed. Vector control of the converter-side stator winding is used to induce a voltage on the grid-side stator winding. A detector is developed to automatically connect the machine to the grid when the voltages are synchronized. Experimental results show that synchronization occurs within 0.4 seconds while the rotor is accelerating.

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Grid synchronization and maximum power point tracking for wind energy generation system with Brushless Doubly Fed Induction Generator

Cited by 12 publications

References 10 publications

Model predictive virtual power control of brushless doubly‐fed induction generator for fast and smooth grid synchronisation

Model predictive virtual power control of brushless doubly‐fed induction generator for fast and smooth grid synchronisation

Indirect Vector-Controlled Brushless Doubly-Fed Twin-Stator Induction Generator for Wind Energy Conversion Application

Vector-controlled Grid Synchronization for the Brushless Doubly-Fed Induction Generator

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