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Forced air cooled Heat sink design for Sic 1kV and 3.3kV power module using Multi-objective optimization

https://doi.org/10.23919/ICPE2023-ECCEAsia54778.2023.10213500

Siddaiah, Rounak; Ordonez, Juan; Cuzner, Robert M. (May 2023, IEEE)

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Determining Parameter Objectives via Model-Based Engineering

https://doi.org/10.1109/ESTS56571.2023.10220562

Cuzner, Robert M.; Gross, David C.; Siddaiah, Rounak; Chalfant, Julie; Steurer, Mischa; Ali, Naqash (August 2023, IEEE)
Virtual Prototyping Process For Assessment of Medium Voltage Grid-Connected Solid State Transformer Implementations

https://doi.org/10.1109/ECCE47101.2021.9595786

Siddaiah, Rounak; Vygoder, Mark; Cuzner, Robert M; Ordonez, Juan C.; Chagas, Mauricio B. (October 2021, 2021 IEEE Energy Conversion Congress and Exposition (ECCE))

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.
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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

https://doi.org/10.1109/PEDES49360.2020.9379849

Siddaiah, Rounak; Cuzner, Robert M. (December 2020, 2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES))

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.
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