Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution

Gennadi Y. Sizov; Peng Zhang; Dan M. Ionel; Nabeel A.O. Demerdash; Marius Rosu

doi:10.1109/ECCE.2011.6064267

Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution

Gennadi Y. Sizov
, Peng Zhang
, Dan M. Ionel
, Nabeel A.O. Demerdash
, Marius Rosu

Producción científica: Conference contribution › revisión exhaustiva

16 Citas (Scopus)

Resumen

Design optimization of a multi-MW direct-drive PMAC machine based on computationally efficient-FEA (CE-FEA) and multi-objective differential evolution (DE) algorithm is presented in this paper. The CE-FEA based models allow ultra-fast analysis and design of synchronous electric machinery. In this work, a DE algorithm is used to vary a large number of stator and rotor parameters to optimize multiple objectives, such as average torque, efficiency, the cogging and the ripple torques that are evaluated using CE-FEA. The method is demonstrated on a motor for a direct-drive rated at 20 MW and 150 r/min. The following four case-study machines are optimized: 1) fractional-slot embedded surface-PM, 2) fractional-slot interior-PM, 3) integer-slot embedded surface-PM, and 4) integer-slot interior-PM. Design optimization of interior-PM machines includes an additional search for an optimum operating torque angle corresponding to the maximum torque per ampere (MTPA) condition.

Idioma original	English
Título de la publicación alojada	IEEE Energy Conversion Congress and Exposition
Subtítulo de la publicación alojada	Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings
Páginas	3672-3678
Número de páginas	7
DOI	https://doi.org/10.1109/ECCE.2011.6064267
Estado	Published - 2011
Evento	3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011 - Phoenix, AZ, United States Duración: sept 17 2011 → sept 22 2011

Serie de la publicación

Nombre	IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings

Conference

Conference	3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011
País/Territorio	United States
Ciudad	Phoenix, AZ
Período	9/17/11 → 9/22/11

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Affordable and clean energy

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

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10.1109/ECCE.2011.6064267

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Sizov, G. Y., Zhang, P., Ionel, D. M., Demerdash, N. A. O., & Rosu, M. (2011). Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution. En IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings (pp. 3672-3678). Artículo 6064267 (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings). https://doi.org/10.1109/ECCE.2011.6064267

Sizov, Gennadi Y. ; Zhang, Peng ; Ionel, Dan M. et al. / Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution. IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings. 2011. pp. 3672-3678 (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings).

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title = "Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution",

abstract = "Design optimization of a multi-MW direct-drive PMAC machine based on computationally efficient-FEA (CE-FEA) and multi-objective differential evolution (DE) algorithm is presented in this paper. The CE-FEA based models allow ultra-fast analysis and design of synchronous electric machinery. In this work, a DE algorithm is used to vary a large number of stator and rotor parameters to optimize multiple objectives, such as average torque, efficiency, the cogging and the ripple torques that are evaluated using CE-FEA. The method is demonstrated on a motor for a direct-drive rated at 20 MW and 150 r/min. The following four case-study machines are optimized: 1) fractional-slot embedded surface-PM, 2) fractional-slot interior-PM, 3) integer-slot embedded surface-PM, and 4) integer-slot interior-PM. Design optimization of interior-PM machines includes an additional search for an optimum operating torque angle corresponding to the maximum torque per ampere (MTPA) condition.",

keywords = "design optimization, electromagnetic analysis, electromagnetic modeling, finite element methods, permanent magnet machines, permanent magnet motors, synchronous machines",

author = "Sizov, \{Gennadi Y.\} and Peng Zhang and Ionel, \{Dan M.\} and Demerdash, \{Nabeel A.O.\} and Marius Rosu",

year = "2011",

doi = "10.1109/ECCE.2011.6064267",

language = "English",

isbn = "9781457705427",

series = "IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings",

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Sizov, GY, Zhang, P, Ionel, DM, Demerdash, NAO & Rosu, M 2011, Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution. En IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings., 6064267, IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings, pp. 3672-3678, 3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011, Phoenix, AZ, United States, 9/17/11. https://doi.org/10.1109/ECCE.2011.6064267

Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution. / Sizov, Gennadi Y.; Zhang, Peng; Ionel, Dan M. et al.
IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings. 2011. p. 3672-3678 6064267 (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings).

Producción científica: Conference contribution › revisión exhaustiva

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AU - Sizov, Gennadi Y.

AU - Zhang, Peng

AU - Ionel, Dan M.

AU - Demerdash, Nabeel A.O.

AU - Rosu, Marius

PY - 2011

Y1 - 2011

N2 - Design optimization of a multi-MW direct-drive PMAC machine based on computationally efficient-FEA (CE-FEA) and multi-objective differential evolution (DE) algorithm is presented in this paper. The CE-FEA based models allow ultra-fast analysis and design of synchronous electric machinery. In this work, a DE algorithm is used to vary a large number of stator and rotor parameters to optimize multiple objectives, such as average torque, efficiency, the cogging and the ripple torques that are evaluated using CE-FEA. The method is demonstrated on a motor for a direct-drive rated at 20 MW and 150 r/min. The following four case-study machines are optimized: 1) fractional-slot embedded surface-PM, 2) fractional-slot interior-PM, 3) integer-slot embedded surface-PM, and 4) integer-slot interior-PM. Design optimization of interior-PM machines includes an additional search for an optimum operating torque angle corresponding to the maximum torque per ampere (MTPA) condition.

AB - Design optimization of a multi-MW direct-drive PMAC machine based on computationally efficient-FEA (CE-FEA) and multi-objective differential evolution (DE) algorithm is presented in this paper. The CE-FEA based models allow ultra-fast analysis and design of synchronous electric machinery. In this work, a DE algorithm is used to vary a large number of stator and rotor parameters to optimize multiple objectives, such as average torque, efficiency, the cogging and the ripple torques that are evaluated using CE-FEA. The method is demonstrated on a motor for a direct-drive rated at 20 MW and 150 r/min. The following four case-study machines are optimized: 1) fractional-slot embedded surface-PM, 2) fractional-slot interior-PM, 3) integer-slot embedded surface-PM, and 4) integer-slot interior-PM. Design optimization of interior-PM machines includes an additional search for an optimum operating torque angle corresponding to the maximum torque per ampere (MTPA) condition.

KW - design optimization

KW - electromagnetic analysis

KW - electromagnetic modeling

KW - finite element methods

KW - permanent magnet machines

KW - permanent magnet motors

KW - synchronous machines

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ER -

Sizov GY, Zhang P, Ionel DM, Demerdash NAO, Rosu M. Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution. En IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings. 2011. p. 3672-3678. 6064267. (IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings). doi: 10.1109/ECCE.2011.6064267

Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution

Resumen

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ODS de las Naciones Unidas

ASJC Scopus subject areas

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