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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

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.

Original language	English
Title of host publication	IEEE Energy Conversion Congress and Exposition
Subtitle of host publication	Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings
Pages	3672-3678
Number of pages	7
DOIs	https://doi.org/10.1109/ECCE.2011.6064267
State	Published - 2011
Event	3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011 - Phoenix, AZ, United States Duration: Sep 17 2011 → Sep 22 2011

Publication series

Name	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
Country/Territory	United States
City	Phoenix, AZ
Period	9/17/11 → 9/22/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

design optimization
electromagnetic analysis
electromagnetic modeling
finite element methods
permanent magnet machines
permanent magnet motors
synchronous machines

ASJC Scopus subject areas

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

Access to Document

10.1109/ECCE.2011.6064267

Cite this

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. In IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings (pp. 3672-3678). Article 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).

@inproceedings{10e04c1ded1d4d5294ca6b42bd370ed1,

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",

pages = "3672--3678",

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note = "3rd Annual IEEE Energy Conversion Congress and Exposition, ECCE 2011 ; Conference date: 17-09-2011 Through 22-09-2011",

}

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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Automated bi-objective design optimization of multi-MW direct-drive PM machines using CE-FEA and differential evolution

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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DO - 10.1109/ECCE.2011.6064267

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SN - 9781457705427

T3 - IEEE Energy Conversion Congress and Exposition: Energy Conversion Innovation for a Clean Energy Future, ECCE 2011, Proceedings

SP - 3672

EP - 3678

BT - IEEE Energy Conversion Congress and Exposition

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Y2 - 17 September 2011 through 22 September 2011

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. In 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

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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