Model-based predictive direct power control of brushless doubly fed reluctance generator for wind power applications

Moazen, Maryam; Kazemzadeh, Rasool; Azizian, Mohammad Reza

doi:10.1016/j.aej.2016.08.004

Cited by 22 publications

(11 citation statements)

References 25 publications

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“…The negative case (−), i.e., Equations (20)- (22), can be disregarded. This note is considered in problem formulation [2,7,48,50,[60][61][62][63][64][65][66][67][68]. The electro-mechanical energy conversion occurs under the following conditions, and this shows the share of each winding [60].…”

Section: Statormentioning

confidence: 99%

“…The development of a novel strategy and its implementation aspects for fast control of the BDFRM power are investigated in [60], which is extracted from the dynamic principle comparison between the measurable and controllable features of the machine including the electrical power and electromagnetic torque, as well as the reactive power and flux. A predictive DPC strategy for the BDFRG is introduced in [61], in which fast dynamic response is achieved by the proposed control strategy. In [75], the dynamic performance of the BDFRMT is investigated.…”

Section: Bdfrm Dynamic Modelmentioning

confidence: 99%

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A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

et al. 2021

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The Brushless Doubly-Fed Reluctance Machine (BDFRM) has been widely investigated in numerous research studies since it is brushless and cageless and there is no winding on the rotor of this emerging machine. This feature leads to several advantages for this machine in comparison with its induction counterpart, i.e., Brushless Doubly-Fed Induction Machine (BDFIM). Less maintenance, less power losses, and also more reliability are the major advantages of BDFRM compared to BDFIM. The design complexity of its reluctance rotor, as well as flux patterns for indirect connection between the two windings mounted on the stator including power winding and control winding, have restricted the development of this machine technology. In the literature, there is not a comprehensive review of the research studies related to BDFRM. In this paper, the previous research studies are reviewed from different points of view, such as operation, design, control, transient model, dynamic model, power factor, Maximum Power Point Tracking (MPPT), and losses. It is revealed that the BDFRM is still evolving since the theoretical results have shown that this machine operates efficiently if it is well-designed.

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Section: Statormentioning

confidence: 99%

Section: Bdfrm Dynamic Modelmentioning

confidence: 99%

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

et al. 2021

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“…To supply and furthermore get the slip power, the rotor of the generator is able along with it tends to be driven at sub-synchronous, synchronous or progressively synchronous rates. Utilizing the BDFRG space-vector model, the accompanying steady-state connections for the primary mechanical power and reactive power could be fixed: (13) (14) VC of Pp and Qp is linked as both the isd and isq auxiliary current presented in (13) and (14). The level of linking could be decreased by adjusting the qp-axis of the reference frame to the main voltage vector.…”

Section: B Vector Controlmentioning

confidence: 99%

Design and Modeling of Brushless Doubly-Fed Reluctance Generator for Wind Mills

Kalaivani*,

Balachander

2019

IJRTE

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Abstract: For the wind energy systems the wind generators the most significant device for achieving better energy efficiencies. So in the case of wind generators, different generators are used for different conditions. In this paper we proposed to analyze the performance analysis of the Brushless Doubly-Fed Reluctance Generator (BDFRG). The BDFRG methods simulated in MATLAB/Simulink software. The proposed model is analyzed with different parameters like THD, ISE, IE, and ITE. The results of the parameters are combined with the other conventional generators like DFIG and BDFIG for result validation. The BDFRG achieved better results in all the parameters than the other conventional generators.

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“…In this paper, the two-step prediction method is used to eliminate the delay; that is, formula (11) can be used to predict ( + 1) and ( + 1). Assume that the supply voltage within a sampling period remains constant, set ( + 1) and ( + 1) as the new initial state variables, and then ( ) as the input can predict ( + 2) and ( + 2).…”

Section: One-step Predictive Control Delay Compensationmentioning

confidence: 99%

“…MPC uses the dynamic model of the system to predict the current/power of the next moment. Compared to DPC, MPC is more accurate and effective in vector selection, of which the principle is simple and easy to implement, and it has good dynamic and static performance [4][5][6][7][8][9][10][11][12]. But one-step prediction is most used currently.…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Direct Power Control of DC Micro Grid Rectifier Based on Neutral Point Potential Balance

Xiaojuan¹,

Xin-ju²,

Haiying³

2017

Mathematical Problems in Engineering

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Aimed at the problem of DC micro grid rectifier control delay and the DC bus voltage stability, the method of two-step model predictive direct power control (TMPDPC) combined with neutral point potential control is proposed. Model predictive direct power control (MPDPC) is designed for rectifier. A cost function is then used to evaluate the active and reactive power ripples, from which the vector that generates the lowest power ripple will be applied during the next sampling interval. Two-step predictive control is designed to compensate for the delay of one-step predictive control. On the basis of this, the two-capacitor voltage unbalance problem in DC side is considered, and the neutral point potential control is added. In the Matlab/Simulink simulation, compared with control effect of direct power control (DPC) and one-step model predictive direct power control (OMPDPC), the control strategy of neutral point potential added to TMPDPC can make the system stability and control accuracy better. The validity of this scheme was validated by physical simulation at last.

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Model-based predictive direct power control of brushless doubly fed reluctance generator for wind power applications

Cited by 22 publications

References 25 publications

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

A Comprehensive Review on Brushless Doubly-Fed Reluctance Machine

Design and Modeling of Brushless Doubly-Fed Reluctance Generator for Wind Mills

Model Predictive Direct Power Control of DC Micro Grid Rectifier Based on Neutral Point Potential Balance

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