2011
DOI: 10.3384/ecp110574193
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Optimal Design of a Small Permanent Magnet Wind Generator for Rectified Loads

Abstract: This paper presents an optimal design procedure for a small permanent magnet wind generator which supplies a full-bridge diode rectified load. The aim is to improve the output voltage waveform of the generator. An electromagnetic-thermal design algorithm is proposed based on an analytical model of a surface-mounted permanent magnet generator. A comprehensive combined model, consisting of design program and simulation of the designed generator under rectified load, is utilized. Design variables are optimized ov… Show more

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Cited by 7 publications
(7 citation statements)
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“…These quantities included magnetic flux density in the air gap (B g ) and current density in the conductors (J). Also in [15], a comprehensive combinational design process of a small permanent magnet wind generator was proposed based on an analytical model of a surface-mounted permanent magnet generator. In order to improve the waveform of the output voltage of the generator a genetic algorithm was used.…”
Section: Introductionmentioning
confidence: 99%
“…These quantities included magnetic flux density in the air gap (B g ) and current density in the conductors (J). Also in [15], a comprehensive combinational design process of a small permanent magnet wind generator was proposed based on an analytical model of a surface-mounted permanent magnet generator. In order to improve the waveform of the output voltage of the generator a genetic algorithm was used.…”
Section: Introductionmentioning
confidence: 99%
“…The PMSG efficiency (η) depends on the process losses from the mechanical power conversion to electrical power as in Equation ( 2) [15,17,27,28,31].…”
Section: Pmgs Efficiencymentioning
confidence: 99%
“…To solve these models the finite analysis methods, genetic algorithms, or analytical calculations are used [9,11,12]; however, the differences in the results from these methods are minimal. Some researchers also consider the properties of the materials for the PMGS con-struction and its geometry [6,13] and then their theory is validated with experimental prototypes [8,9,14,15].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A chaos optimization algorithm was used by He and Wang to maximize the PMSG efficiency not considering the active material cost [1]. Faiz, Ebrahimi, Rajabi-Sebdani and Khan employ a genetic algorithm to optimally design a PMSG using as objective function a quotient with the wind turbine annual energy input as the numerator and the permanent magnet volume as the denominator; however, the active material cost is not considered [2].…”
Section: Introductionmentioning
confidence: 99%