Optimal Design of Doubly Fed Induction Generators Using Field Reconstruction Method

Wang, Wei; Kiani, Morgan; Fahimi, Babak

doi:10.1109/tmag.2010.2043934

Cited by 29 publications

(11 citation statements)

References 9 publications

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“…11, the   of the normal force and end force are +r and ± respectively. Using (15) and (17), the thrust force of the LTPMM can be calculated as (18).…”

Section: Force Calculationmentioning

confidence: 99%

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Field Reconstruction Method for Linear Tubular Permanent Magnet Motor

Kim

Woo

2020

IEEE Access

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This paper considers a linear tubular permanent magnet motor (LTPMM) for an active suspension system. The LTPMM has an end effect due to its structure. This can be an important factor for analysis and design of the LTPMM because it distorts the air-gap magnetic flux distribution. The field reconstruction method (FRM) was developed for an effective evaluation of the magnetic field in the electric machine. It can reduce the computation time using the basis-function which reconstructs the air-gap magnetic flux distribution with a static finite element analysis. In this paper, we adopted the FRM to evaluate the LTPMM. However, the FRM has been applied only to the rotating machines and does not take into account the distortion of the magnetic flux distribution in the LTPMM. To deal with this problem, we proposed an enhanced FRM with new basis-function. The proposed method is verified by comparing between experiment result, conventional and enhanced FRM. INDEX TERMS Active suspension system, linear active suspension, linear permanent magnet motor, field reconstruction method.

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“…11, the   of the normal force and end force are +r and ± respectively. Using (15) and (17), the thrust force of the LTPMM can be calculated as (18).…”

Section: Force Calculationmentioning

confidence: 99%

“…The previous research work on the FRM has focused on the applications, such as axial flux PM motors [6]- [8], switched reluctance machines [9], PM synchronous machines [10]- [13], and induction machines [14]- [15]. Park et al [6] and Ajily et al [7] presented the performance of axial flux PM motors using the 3-D FRM.…”

Section: Introductionmentioning

confidence: 99%

Field Reconstruction Method for Linear Tubular Permanent Magnet Motor

Kim

Woo

2020

IEEE Access

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“…Doubly-fed induction generators (DFIGs) are widely used in wind farms [12][13][14][15]. It has been known that BDFIG presents several advantages over DFIG such as no need for brushes and ship-rings, lower maintenance cost, requiring two-stage mechanical gear-box than three-stage, better low-voltage ride-through capability, and more robust structure.…”

Section: Brushless Doubly-fed Induction Generatormentioning

confidence: 99%

Modified steady‐state modelling of brushless doubly‐fed induction generator taking core loss components into account

Yousefian

Zarchi

Gorginpour

2019

IET Electric Power Applications

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Brushless doubly-fed induction machine (BDFIM) has recently gained considerable research interests due to its promising features when incorporated as wind generator or variable speed drive. The BDFIM has two three-phase stator windings with different pole-pair numbers and excitation frequencies. The performance of the machine is based on the magnetic cross-coupling of rotating fields produced by the stator windings through a special squirrel cage rotor. Contrary to the conventional induction machine (IM), the rotor slip and frequency are high throughout the operating speed range. Hence, the rotor core loss cannot be ignored in the steady-state analysis. Although the core loss components have much more study of BDFIM. In this study, analytical expressions are individually derived for a number of core loss components caused by the complicated nature than those of an IM, the precise calculation of these components is important especially on the efficiency each stator winding field. Then, the modified steady-state electric equivalent model is developed by considering the components. The experiments and finite element analysis based on a 3 kW prototype BDFIM verify the accuracy of the proposed model.

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“…Most wind turbine generators have their respective drawbacks and limitations, such as high cost on the manufacture materials, large power electronic components, and complex control system. Nowadays up to 70% of the installed wind turbines incorporate Doubly Fed Induction Generators (DFIGs) [13] as doubly fed induction generators have many advantages, such as high reliability, low cost, and variable speed control at constant power. For maximum energy yield, the DFIG is asked for the best performance during the operation, so it is necessary to optimise the machine structure or winding design in order to improve the machine performance and efficiency.…”

Section: Application To the Optimal Design Of Dfigmentioning

confidence: 99%

Novel optimisation algorithm of electrical machines

Baker

Cao

2016

8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)

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This paper presents a case study for multi-variable and multimodal design optimisation of a doubly fed induction generator (DFIG) based on surrogate-model optimisation algorithm. The DFIG's winding of stator and rotor are optimised to obtain higher efficiency for rewinding purposes. First, a Latin hypercube design is selected as the design of experiments to obtain sampling points. Then, the surrogate model is constructed using Kriging Model (KRG) method based on the Latin hypercube design. Finally, the particle swarm optimisation algorithm is applied in conjunction with the finite element method to achieve the machine design optimisation.

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Optimal Design of Doubly Fed Induction Generators Using Field Reconstruction Method

Cited by 29 publications

References 9 publications

Field Reconstruction Method for Linear Tubular Permanent Magnet Motor

Field Reconstruction Method for Linear Tubular Permanent Magnet Motor

Modified steady‐state modelling of brushless doubly‐fed induction generator taking core loss components into account

Novel optimisation algorithm of electrical machines

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