Indirect Torque Control of a Cascaded Brushless Doubly-Fed Induction Generator Operating With Unbalanced Power Grid

Dauksha, Gennadiy; Iwański, Grzegorz

doi:10.1109/tec.2020.2972500

Cited by 18 publications

(8 citation statements)

References 24 publications

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“…The derived CW voltage equations, namely (20) and (21), are the object model using to design CW(MSC) current controller thereafter. It should be noted that ( 20) and ( 21) include all of the cross-coupling terms and disturbances on d-axis and q-axis whereas the existing proposed models in literature [15]- [17] neglected all or most of the cross-coupling terms and disturbances. Therefore, the derived model expressed as (20) and (21) in this paper gives a much more accurate analytical model for BDFIG (MSC) current control under grid voltage unbalance.…”

Section: A Vector Model Of Bdfig (Msc) Under Grid Voltage Unbalancementioning

confidence: 99%

“…6(a). Compared to existing control methods in [15]- [17], its improvements are as follows: Firstly, a single current closed-loop controller without the CW flux, PW flux or RW current estimations is designed. Thus, it is much more simple and applicable and has better parameter robustness.…”

Section: B Current Controller Designmentioning

confidence: 99%

“…However, due to some causes such as asymmetrical loads and faults, both transmission and distribution networks can experience steady and transient voltage unbalances. If the control systems do not consider voltage unbalance, a little voltage unbalance could cause a large current unbalance, power, DC link and electromagnetic torque oscillations [15]- [17]. These unbalances and oscillations are very harmful to wind turbine and power grid and even result in a large amounts of trips [18].…”

Section: Introductionmentioning

confidence: 99%

“…In Ref. [17], an indirect torque control algorithm was proposed which provides the possibility of reduction of electromagnetic torque oscillations, full or partial PW active power oscillations reduction for the cascaded brushless doubly-fed induction generator during operation under unbalanced grid. However, PW flux, rotor current, and CW flux were all needed to be estimated using machine parameters.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling and Coordinated Control Design for Brushless Doubly-Fed Induction Generator-Based Wind Turbine to Withstand Grid Voltage Unbalance

Zhu

Kang

2021

IEEE Access

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Grid codes require wind turbines to have capability to withstand a certain grid voltage unbalance without tripping. However, existing controls for brushless doubly-fed induction generator (BDFIG) based wind turbine under grid unbalance have many problems such as difficulty in realizing decoupling control, involvement with flux or current estimations, and complex control structure. Moreover, the existing studies only focused on the control of machine side converter (MSC), but the coordinated This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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Section: A Vector Model Of Bdfig (Msc) Under Grid Voltage Unbalancementioning

confidence: 99%

Section: B Current Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and Coordinated Control Design for Brushless Doubly-Fed Induction Generator-Based Wind Turbine to Withstand Grid Voltage Unbalance

Zhu

Kang

2021

IEEE Access

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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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Salp swarm algorithm–based optimal vector control scheme for dynamic response enhancement of brushless double‐fed induction generator in a wind energy conversion system

Memon

Mustafa

Jumani

et al. 2021

Int Trans Electr Energ Syst

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Summary Considering the superior performance and comparatively lower maintenance cost of the brushless double‐fed induction generator (BDFIG) than the conventional double‐fed induction generator (DFIG), this article explores its application in wind energy conversion systems (WECS) with a novel control strategy. The proposed control strategy utilizes the intelligence of the Salp swarm algorithm (SSA)–based vector control scheme to optimally regulate the speed, torque, current, active, and reactive power of the proposed WECS during the sharp changes in the wind speed and load. To overcome the demerits associated with the conventional “trial and error” method of PI regulator tuning, the SSA is utilized to optimally select their proportional and integral gains automatically. SSA accomplishes the mentioned task by iteratively minimizing the considered error integrating objective function through an offline optimization method; thus, it provides the least error and consequently optimal dynamic response of the proposed BDFIG‐based WECS at the end of the optimization process. The effectiveness and performance of the proposed control strategy are validated in terms of optimal speed, torque, and active and reactive power regulation and is compared with the internal model control and particle swarm optimization algorithm–based vector control schemes under identical operating conditions and system configurations. The proposed control scheme for the considered BDFIG‐based WECS obtains the best optimal dynamic response among the considered control schemes; thus, it proves its efficacy and essence.

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Indirect Torque Control of a Cascaded Brushless Doubly-Fed Induction Generator Operating With Unbalanced Power Grid

Cited by 18 publications

References 24 publications

Modeling and Coordinated Control Design for Brushless Doubly-Fed Induction Generator-Based Wind Turbine to Withstand Grid Voltage Unbalance

Modeling and Coordinated Control Design for Brushless Doubly-Fed Induction Generator-Based Wind Turbine to Withstand Grid Voltage Unbalance

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

Salp swarm algorithm–based optimal vector control scheme for dynamic response enhancement of brushless double‐fed induction generator in a wind energy conversion system

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