Optimum design of a high-efficiency direct-drive PMSG

Bazzo, Thiago de Paula Machado; Kolzer, José Fabio; Carlson, R.; Würtz, Fréderic; Gerbaud, Laurent

doi:10.1109/ecce.2015.7309921

Cited by 13 publications

(7 citation statements)

References 8 publications

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“…where W ry , W ew , W aw , and W sy are the weights of the rotor yoke, excitation windings, armature windings, and stator yoke, respectively; P ew and P aw are the copper loss of excitation and armature windings, respectively; P ry and P sy are the iron loss of the rotor and stator yoke, respectively; P ∆ is the stray loss, and is assumed to be one percent of the rated power, and P f is the total friction loss; see Equation 35 [44]. Therein, the rotor is assumed to be a cylinder when the windage friction loss is calculated:…”

Section: Design Goalsmentioning

confidence: 99%

“…In this study, the weight and power loss are naturally selected as the objectives, and the physical dimension of the machine is given in the process of modeling. As the cost can be calculated by multiplying the material price by the weight [44], it is omitted here. Detailed calculations are included in the design goal of every modeling module.…”

Section: Problem Definitionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Dai

Wang

Meng³

et al. 2019

Energies

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The transportation sector is undergoing electrification to gain advantages such as lighter weight, improved reliability, and enhanced efficiency. As contributors to the safety of embedded critical functions in electrified systems, better sizing of electric machines in vehicles is required to reduce the cost, volume, and weight. Although the designs of machines are widely investigated, existing studies are mostly complicated and application-specific. To satisfy the multi-level design requirements of power systems, this study aims to develop an efficient modeling method of electric machines with a background of aircraft applications. A variable-speed variable-frequency (VSVF) electrically excited synchronous generator is selected as a case study to illustrate the modular multi-physics modeling process, in which weight and power loss are the major optimization goals. In addition, multi-disciplinary design optimization (MDO) methods are introduced to facilitate the optimal variable selection and simplified model establishment, which can be used for the system-level overall design. Several cases with industrial data are analyzed to demonstrate the effectiveness and superior performance of the modeling method. The results show that the proposed practices provide designers with accurate, fast, and systematic means to develop models for the efficient design of aircraft power systems.

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Section: Design Goalsmentioning

confidence: 99%

Section: Problem Definitionmentioning

confidence: 99%

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Dai

Wang

Meng³

et al. 2019

Energies

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“…In [6], a multiobjective optimization function is employed to design a PMSG with maximum annual energy production and minimum permanent magnet volume. The direct drive PM generator design can be optimized to achieve different purposes such as the minimal generator active material cost [7], the minimal power loss cost (considering the annual wind profile) [8] and the maximal air gap apparent power (under tangential stress constrain) [2]. In addition, PMSG can be designed and utilized for specific applications such as telecom tower wind turbine [9] and energy recovery system [4].…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization of a Large-Scale Permanent Magnet Synchronous Generator

et al. 2019

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Direct drive permanent magnet synchronous generators have numerous advantages such as improved reliability, low maintenance, long life, and developed performance characteristics. In recent years, many researchers have worked on this generator to enhance the performance of the generator, especially for the wind turbine application. The focus of this paper is on the development of a step-by-step method for the design of a permanent magnet synchronous generator. Then the winding function method is used to model the generator and calculate its output characteristics analytically. The analytical results of the designed generator are validated using the finite element analysis (FEA) and it is demonstrated that the obtained results from both methods are in great agreement with the experimental measurements of the Northern Power direct-drive generator. The sensitivity analysis and optimization procedure based on the genetic algorithm are used to design an optimum generator. The optimization goal is obtaining higher efficiency and power factor with lower voltage regulation and required permanent magnet volume compared to the initial design. In addition, the calculation of the voltage total harmonic distortion (THD) is presented and the optimum skew angle for the optimum generator is computed to reduce the voltage THD.

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“…With this technique a global search is carried out first using the GA and an intermediate set of solutions are found after a few generations. These solutions are used as initial parameters for Most of the generator models in [4][5][6][7][8][9][10][11] focus on the active material and losses but do not consider the generator structure in detail. McDonald showed that the structural mass of a 5 MW permanent magnet direct drive generator can be more than 80% of its total mass [16].…”

mentioning

confidence: 99%

“…Amuhaya and Kamper discussed the importance of reducing the mass and cost of generator active materials [8]. Bazzo et al outlined some objective functions to minimize costs and maximize efficiency which included minimizing active and structural materials cost and minimizing cost of losses to get maximum return of investment [9]. Zavvos et al offered an analytical tool that minimizes the generators mass or cost by optimizing both the electromagnetic and structural design at the same time [10].…”

Section: Introductionmentioning

confidence: 99%

On the Optimization of Generators for Offshore Direct Drive Wind Turbines

McDonald

Bhuiyan

2017

IEEE Trans. Energy Convers.

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The Strathprints institutional repository (https://strathprints.strath.ac.uk) is a digital archive of University of Strathclyde research outputs. It has been developed to disseminate open access research outputs, expose data about those outputs, and enable the management and persistent access to Strathclyde's intellectual output.1 Abstract-The objective of this paper is to optimize direct drive permanent magnet synchronous generators for offshore direct drive wind turbines in order to reduce the cost of energy. A 6MW wind turbine design is assumed and parametric electromagnetic and structural generator models are introduced for a surface-mounted magnet generator topology (using magnets with high BHmax) and a flux-concentrating variant (using magnets with lower BHmax). These are optimized using a hybrid Genetic Algorithm and Pattern Search process and the results show that the surface-mounted permanent magnet generator produces the lower cost of energy. The choice of objective function is addressed and it is found that a simplified metric incorporating generator cost and losses proxy produces similar designs to a full cost of energy calculation. Further steps to improve the quality of the model include the effect of generator mass on the design and cost of the turbine tower and foundation, which can add €0.4m to the turbine cost. Further optimizations are carried out to show the impacts of magnetic material costs (doubling this leads to a €1.1/MWh increase in cost of energy) and generator diameter limits (increasing the upper limit from 6m to 8m leads to a 0.9% drop in cost of energy) have on the choice of optimum independent variables.Index Terms-Cost of energy, direct drive wind turbine, optimization, permanent magnet generator, structural model, tower and foundation. I. INTRODUCTIONgrowing proportion of offshore wind turbine designs are now based on directly driven permanent magnet synchronous generators. Direct drive machines can offer higher reliability and reduced maintenance cost because of the omission of the gearbox from the drive train [1]. Some of the downsides of these generators include their large size (due to the high torque rating), requirements for large quantities of rare earth permanent magnets and the significant generator structures required to maintain the small air-gap clearance against the large attraction forces between the rotor and the stator [2]. The generator designer needs to deliver a number of performance characteristics including high efficiency, low power losses at part load, high availability, low machine mass, reduced volume and lower material and manufacturing costs. Normally the designers employ some element of optimization to achieve the best balance of these aspects [3].The main purpose of this paper is to examine the process of optimizing large, low speed generators for offshore direct drive wind turbines, exploring the different objective functions that a A. McDonald and N. A. Bhuiyan are with the Institute of Energy and Environment, Department of Electronic and Electri...

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Optimum design of a high-efficiency direct-drive PMSG

Cited by 13 publications

References 8 publications

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Multi-Level Modeling Methodology for Optimal Design of Electric Machines Based on Multi-Disciplinary Design Optimization

Design and Optimization of a Large-Scale Permanent Magnet Synchronous Generator

On the Optimization of Generators for Offshore Direct Drive Wind Turbines

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