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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. 

This paper presents a unique Virtual Prototyping Process (VPP) that allows for metaheuristic optimization of the building block based Power Electronic Converter systems. The VPP allows for exploration of a range of design space variables, including voltage levels, power semiconductor device technology and thermal management approach against competing objectives such as power density, efficiency and specific cost given electrical and environmental constraints. A unique feature of proposed VPP is compilation of lower voltage building blocks into a much higher voltage rated system and inclusion of allocations for insulation systems, thermal management, accessibility, busing/interconnections and frame/structure/chassis. This approach enables understanding of these practical considerations on power density. This paper presents a use case of a Medium Voltage ac (MVac) to Low Voltage dc (LVdc) solid state transformer.