Model Predictive Direct Power Control of Doubly Fed Induction Generators Under Balanced and Unbalanced Network Conditions

Zhang, Yongchang; Jiao, Jian; Xu, Donglin; Jiang, Dong; Wang, Zhankuo; Tong, Chaonan

doi:10.1109/tia.2019.2947396

Cited by 45 publications

(9 citation statements)

References 40 publications

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“…A robust control scheme for GCIs to compensate both positive sequence and NS powers under balanced and unbalanced grid conditions is discussed in [350]. Mirhosseini et al [351] discussed control of a large-scale gridconnected PV power plants operating under unbalanced grid voltage sags without the need for phase angle synchronisation, while a dissonant-resonant controller for negative-sequence voltage elimination for a grid-feeding converter is proposed in [352] and Zhang et al [353] discussed a model predictive DPC for DFIG under unbalanced conditions. The modelling and experimental validation of another strategy for DFIG systems under distorted and balanced systems is discussed in [354].…”

Section: Unbalance Mitigation In the Grid-connected Modementioning

confidence: 99%

“…5 shows a typical control scheme for the grid‐connected mode involving a secondary communication‐based layer. This section summarises the available literature [14, 15, 16, 17, 20, 24, 26, 162, 219, 226–366] on unbalance mitigation in the grid‐connected scenario of both single and multiple inverters.…”

Section: Unbalance Mitigation In the Grid‐connected Modementioning

confidence: 99%

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Unbalance mitigation strategies in microgrids

Vijay

Doolla

Chandorkar

2020

IET Power Electronics

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Unbalance or asymmetry in the distribution network is a well-known power quality issue. In the modern active distribution system, with the increasing penetration of renewables, this phenomenon becomes more pronounced. In the context of microgrids (MGs), several works have been proposed for the management and mitigation of the unbalance, for both the sharing of unbalanced load and maintaining the voltage quality in the islanded mode and for the control of distributed generators in the grid-connected mode during unbalanced conditions. This study comprehensively reviews, summarises, and classifies the various strategies of the unbalance mitigation techniques for the islanded and grid-connected modes of operation for threephase MGs and presents the possible challenges and avenues for future investigations on the topic.

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Section: Unbalance Mitigation In the Grid-connected Modementioning

confidence: 99%

Section: Unbalance Mitigation In the Grid‐connected Modementioning

confidence: 99%

Unbalance mitigation strategies in microgrids

Vijay

Doolla

Chandorkar

2020

IET Power Electronics

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“…This action contributed effectively to reducing the flux and torque fluctuations around their references; however, the computation time increased again. Other researchers adopted an online adaptation of the weighting factor in order to achieve an optimal balance between the flux and torque variations [47]. A good performance was obtained using the online weighting update, but the system's computational burden was increased, which made this solution unfit for all applications in which the execution capacity of the micro-processors is restricted.…”

Section: Introductionmentioning

confidence: 99%

Improving the Dynamic Performance of a Variable Speed DFIG for Energy Conversion Purposes Using an Effective Control System

2022

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The present paper aims to introduce an effective control system which enhances the dynamics of a doubly fed induction generator (DFIG) operating at fixed and variable speeds. To visualize the effectiveness of the formulated control algorithm, the performance of the DFIG is evaluated using other control techniques as well. Each control algorithm is primarily described by showing its operation principles and how it is adapted to manage the DFIG’s operation. The main used control strategies are stator voltage-oriented control (SVOC), model predictive current control (MPCC), model predictive direct torque control (MPDTC), and the formulated predictive voltage control (PVC) algorithm. A detailed comparison is performed between the controllers’ performances, through which the advantages and shortcomings of each method are outlined, and finally, the most effective technique is identified amongst them. The obtained results reveal that the proposed PVC approach possesses multiple advantages such as a faster dynamic response and simpler control structure when compared with SVOC and a faster dynamic response, reduced ripples, and reduced computational burdens when compared with the MPCC and MPDTC approaches. In addition, the robustness of the proposed PVC scheme is confirmed by performing extensive performance evaluation tests considering the parameters’ variation.

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“…There are recent works that have proposed predictive DPC with virtual power [21] or virtual torque [22] reference for the synchronization (mode 1) and power regulation (mode 2) of the DFIM in a two-step strategy. Other works have applied predictive control to address unbalanced grid conditions [23]- [25] using conventional converters, and using a MC [26].…”

Section: Introductionmentioning

confidence: 99%