Improving Transient Behavior of a Brushless Doubly Fed Induction Generator through Reactive Current Control of Grid-Side Converter

Memon, Ahsanullah; Mustafa, Mohd Wazir; Aman, Muhammad Naveed; Hafeez, Abdul; Ullah, Mukhtar

doi:10.3390/electronics10121413

Cited by 7 publications

(7 citation statements)

References 23 publications

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“…u a and i a are the voltage and current for the a-phase at the PCC. Denoting the amplitude and angular frequency of the phase voltage by U m and ω , respectively, we can obtain e ca as follows [ 5 ].…”

Section: Modeling Of Vector Control Scheme Based Bdfig Systemmentioning

confidence: 99%

“…However, DFIG transfers the generated power to the load by using carbon brushes and slip rings which causes power loss and sparking due to continuous mechanical wear and tear in the mentioned devices [ 4 ]. Besides, it provides an inferior low voltage ride through (LVRT) capability as compared to Brushless DFIG which is a comparatively better alternative to the traditional DFIG [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm

et al. 2022

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A brushless double-fed induction generator (BDFIG) has shown tremendous success in wind turbines due to its robust brushless design, smooth operation, and variable speed characteristics. However, the research regarding controlling of machine during low voltage ride through (LVRT) need greater attention as it may cause total disconnection of machine. In addition, the BDFIG based wind turbines must be capable of providing controlled amount of reactive power to the grid as per modern grid code requirements. Also, a suitable dynamic response of machine during both normal and fault conditions needs to be ensured. This paper, as such, attempts to provide reactive power to the grid by analytically calculating the decaying flux and developing a rotor side converter control scheme accordingly. Furthermore, the dynamic response and LVRT capability of the BDFIG is enhanced by using one of the very intelligent optimization algorithms called the Salp Swarm Algorithm (SSA). To prove the efficacy of the proposed control scheme, its performance is compared with that of the particle swan optimization (PSO) based controller in terms of limiting the fault current, regulating active and reactive power, and maintaining the stable operation of the power system under identical operating conditions. The simulation results show that the proposed control scheme significantly improves the dynamic response and LVRT capability of the developed BDFIG based wind energy conversion system; thus proves its essence and efficacy.

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Section: Modeling Of Vector Control Scheme Based Bdfig Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm

et al. 2022

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“…Figure 2 shows the controllers for the converters, namely, RSC and GSC. e per-phase steady-state equivalent circuit of a BDFIG is shown in Figure 3 [23,28]. Using the DC capacitance (C dc ), the RSC and GSC are decoupled.…”

Section: Proposed Rsc-based Vector Controlmentioning

confidence: 99%

Internal Model Control (IMC)-Based Active and Reactive Power Control of Brushless Double-Fed Induction Generator with Notch Filter

Memon

Mustafa

Laghari

et al. 2022

International Transactions on Electrical Energy Systems

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The increase in demand for electricity and, in particular, green energy has put renewable energy systems at the focal point of energy policy worldwide. The higher reliability of brushless doubly fed induction generators (BDFIGs) makes them suitable for offshore and remote wind energy generation (WEG) applications. Besides, controlling the active and reactive powers in an electrical power system is critical for optimal voltage regulation, reduced power losses, and enhanced utilization of installed equipment. However, the existing literature on BDFIG’s active and reactive power control highlights the poor dynamic response and high transients with harmonic generation during inductive load insertion. It is because the Ziegler technique was employed to select PI gains, and the instantaneous reactive power theory was used to mitigate harmonics. Considering that, this paper proposes a vector control (VC) method for BDFIGs in wind turbines, in which the proportional-integral (PI) gains for internal model control (IMC) are optimized to improve the dynamic response of the active and reactive power during inductive load insertion. The proposed method reduces the complexity, time consumption, and uncertainty in making the optimal choice. In addition, to reduce a double fundamental frequency component to the point-of-common-coupling (PCC) voltage, the excellent characteristics of the notch filter are utilized in the grid-side converter (GSC)-based vector control scheme. The simulation results in MATLAB/Simulink show that the proposed IMC-based vector control scheme with a notch filter provides satisfactory results with a minimum peak value compared to existing techniques.

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“…It is important to mention here that the regulation of reactive power is needed to inject a controlled amount of reactive power at the time of fault so that the unwanted disconnection of the machine from the grid system may be prevented. 28 It may be noted that the current research work considers the synchronous operation of BDFIG machine. The rotational speed ω r ð Þ for the synchronous operation of the machine can be calculated by using Equation (16).…”

Section: Mathematical Modeling Of Bdfigmentioning

confidence: 99%

“…However, the PW flux

italicλp

is kept constant throughout the simulation run. It is important to mention here that the regulation of reactive power is needed to inject a controlled amount of reactive power at the time of fault so that the unwanted disconnection of the machine from the grid system may be prevented 28 …”

Section: Modeling Of Bdfig Along With the Architecture Of Proposed Co...mentioning

confidence: 99%

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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Improving Transient Behavior of a Brushless Doubly Fed Induction Generator through Reactive Current Control of Grid-Side Converter

Cited by 7 publications

References 23 publications

Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm

Dynamic response and low voltage ride-through enhancement of brushless double-fed induction generator using Salp swarm optimization algorithm

Internal Model Control (IMC)-Based Active and Reactive Power Control of Brushless Double-Fed Induction Generator with Notch Filter

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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