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  • Analysis of magnetic materials and the design of EI-core arm inductor for MV-AFE MMC application using Multi-objective optimization
Title: Analysis of magnetic materials and the design of EI-core arm inductor for MV-AFE MMC application using Multi-objective optimization
The Modular Multi-Level Converter (MMC) is a popular topology for HVDC or MVDC microgrids which require 6 (2 per phase) arm inductors for each system which are significant in size. Therefore characterizing different magnetic materials for a MV inductor design process is very important for power density. Many variables must be analyzed before expensive MV inductors are manufactured. Inductor design is a multi-objective optimization problem that is tackled by using an evolutionary algorithm to solve this is shown in this paper. Loss, Mass, and volume are optimized using a genetic algorithm for a 2mH, 297 A(rms) MMC arm inductor with an E-I core structure.  more » « less
Award ID(s):
1650470
NSF-PAR ID:
10316418
Author(s) / Creator(s):
;
Date Published:
Journal Name:
2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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