Robust Model Predictive Rotor Current Control of a DFIG Connected to a Distorted and Unbalanced Grid Driven by a Direct Matrix Converter

Gontijo, Gustavo; Tricarico, Thiago; França, Bruno Wanderley; Silva, Leonardo Francisco da; Emmerik, Emanuel L. van; Aredes, Maurício

doi:10.1109/tste.2018.2868406

Cited by 40 publications

(32 citation statements)

References 28 publications

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“…[15][16][17][18]. MPC has been implemented successfully for a number of applications as: current control [19,20], voltage control [21], speed control [22], torque control [23], steady-state error suppression [24] and current control combining multi-phase machines and multi-modular direct matrix converters (MMC) [25,26], among others. Some advantages of MPC are: (i) it is a more direct control strategy which can reduce the complexity of other methods for MC control; (ii) several control objectives (such as output current, input reactive power minimisation, source current control, etc.)…”

Section: Introductionmentioning

confidence: 99%

Improved Predictive Control in Multi-Modular Matrix Converter for Six-Phase Generation Systems

et al. 2020

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Distributed generation systems are emerging as a good solution as part of the response to the world’s growing energy demand. In this context multi-phase wind generation systems are a feasible option. These systems consist of renewable AC sources which requires efficient and controlled power conversion stages. This work proposes a novel predictive current control strategy that takes advantage of a multi-modular matrix converter topology in the power stage of a six-phase generation system. The proposed method uses a coupling signal between the modules to decrease the error and the total harmonic distortion compared to independent control of each module. Experimental results validate the new control strategy showing the improvement regarding the target parameters.

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Section: Introductionmentioning

confidence: 99%

Improved Predictive Control in Multi-Modular Matrix Converter for Six-Phase Generation Systems

et al. 2020

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“…Besides, matrix converters have other characteristics such as input and output sinusoidal currents, and the unity power factor in the each load and regeneration capacity [1]. In recent years, researchers have shown an increasing interest in matrix converters used in applications such as variable speed drives [2][3], flexible alternating current transmissions [4], and renewable energy conversion systems [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Improved Model Predictive Control Method to Drive an Induction Motor Fed by Three-Level Diode-Clamped Indirect Matrix Converter

Farhadi

Akbari

Zakerian

et al. 2020

Int. j. eng. technol. innov.

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In this paper, an improved model predictive control method is proposed to drive an induction motor fed by a three-level matrix converter. The main objective of this paper is to present a novel method to increase the switching frequency at a constant sampling time. Also, it is analytically discussed that increasing the switching frequency not only can decrease the motor current ripples, but it can also significantly reduce its torque ripples. Finally, this study demonstrates that reducing the motor current ripple will improve the quality of the supply current. To be the accurate model and validate the motor drive system, a co-simulation method, which is a combination of FLUX and MATLAB software packages, is employed to find the simulation results. The findings indicate that the proposed method diminishes the THD of the supply current up to 26% approximately. Furthermore, increasing the switching frequency results in the torque ripple reduction by up to 10% almost.

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“…Thus, with those topological and control advances, MC applications are coming back as a trending topic in recent research. The combination of MCs with MPC has been widely used in wind power applications [26][27][28][29][30]. Other modern applications of MCs are in motor drives, electric vehicles, and energy storage [31][32][33][34][35][36][37].…”

Section: Introductionmentioning

confidence: 99%

Direct Matrix Converter Topologies with Model Predictive Current Control Applied as Power Interfaces in AC, DC, and Hybrid Microgrids in Islanded and Grid-Connected Modes

et al. 2019

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This paper presents an analysis of a new application of different direct matrix converter topologies used as power interfaces in AC, DC, and hybrid microgrids, with model predictive current control. Such a combination of a converter and control strategy leads to a high power quality microgrid voltage, even with a low power quality main grid voltage and even during the connection and disconnection of a variety of loads and generation sources to the microgrids. These robust systems are suitable for applications in which sensitive loads are to be supplied and these loads are connected close to distributed-generation sources with inherent intermittent behavior. The authors also propose the use of new direct matrix converter configurations with a reduced number of switches in order to achieve reduced cost, reduced failure rate, and higher reliability, which are very desirable in microgrids. Finally, the authors also introduce new hybrid direct matrix converter topologies that provide interesting options for the islanded operation of the microgrids with the use of a battery system. In other words, the proposed hybrid direct matrix converters result in flexible hybrid microgrid configurations integrating DC and AC devices with high power quality and high power supply reliability.

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Robust Model Predictive Rotor Current Control of a DFIG Connected to a Distorted and Unbalanced Grid Driven by a Direct Matrix Converter

Cited by 40 publications

References 28 publications

Improved Predictive Control in Multi-Modular Matrix Converter for Six-Phase Generation Systems

Improved Predictive Control in Multi-Modular Matrix Converter for Six-Phase Generation Systems

An Improved Model Predictive Control Method to Drive an Induction Motor Fed by Three-Level Diode-Clamped Indirect Matrix Converter

Direct Matrix Converter Topologies with Model Predictive Current Control Applied as Power Interfaces in AC, DC, and Hybrid Microgrids in Islanded and Grid-Connected Modes

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