Title

Automated Bi-Objective Design Optimization of Multi-MW Direct-Drive PM Machines Using CE-FEA and Differential Evolution

Document Type

Conference Proceeding

Language

eng

Format of Original

7 p.

Publication Date

9-17-2011

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Source Publication

2011 IEEE Energy Conversion Congress and Exposition (ECCE)

Source ISSN

978-1-4577-0541-0

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.

Comments

Published as part of the proceedings of the conference, 2011 IEEE Energy Conversion Congress and Exposition (ECCE), 2011: 3672-3678. DOI.

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