Approach for sizing by optimization of an electrical drive considering a multiphysics and multidynamics behaviour
ISSN: 0332-1649
Article publication date: 2 July 2024
Issue publication date: 30 July 2024
Abstract
Purpose
This paper aims to describe a modelling and solving methodology of a (static converter–electric motor–control) system for its sizing by optimization, considering the dynamic thermal heating of the machine.
Design/methodology/approach
The electrical drive sizing model is composed of two simulators (electrical and thermal) that are co-simulated with a master−slave relationship for the time step management. The computation is stopped according to simulation criteria.
Findings
This paper details a methodology to represent and size an electrical drive using a multiphysics and multidynamics approach. The thermal simulator is the master and calls the electrical system simulator at a fixed exchange time step. The two simulators use a dedicated dynamic time solver with adaptive time step and event management. The simulation automatically stops on pre-established criteria, avoiding useless simulations.
Research limitations/implications
This paper aims to present a generic methodology for the sizing by optimization of electrical drives with a multiphysics approach, so the precision and computation time highly depend on the modelling method of each components. A genetic multiobjective optimization algorithm is used.
Practical implications
The methodology can be applied to size electrical drives operating in a thermally limited zone. The power electronics converter and electrical machine can be easily adapted by modifying their sub-model, without impacting the global model and simulation principle.
Originality/value
The approach enables to compute a maximum operating duration before reaching thermal limits and to use it as an optimization constraint. These system considerations allow to over constrain the electrical machine, enabling to size a smaller machine while guaranteeing the same output performances.
Keywords
Citation
Thomas, R., Gerbaud, L., Chazal, H. and Garbuio, L. (2024), "Approach for sizing by optimization of an electrical drive considering a multiphysics and multidynamics behaviour", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 43 No. 4, pp. 802-820. https://doi.org/10.1108/COMPEL-10-2023-0521
Publisher
:Emerald Publishing Limited
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