Metaheuristic Optimization for Automatic Arrangement of Power Electronics Components in a Shipboard Electrical Distribution System
Name
lohier-slohier-meng-eecs-2025-thesis.pdf
Description
Thesis PDF
Size
1.19 MB
Format
Adobe PDF
Checksum (MD5)
14c0797b5ac7741acff8b486c7e0a172
Author(s)
Lohier, Sebastien
Advisor(s)
Chalfant, Julie
Leeb, Steven
Date Issued
May 2025
Publisher
Massachusetts Institute of Technology
Abstract
This thesis proposes a novel methodology for the automatic placement of Power Electronics Building Blocks (PEBBs) in modular, integrated power corridor designs. These building blocks, which are created and tested offsite for a variety of applications, are currently placed manually during the design process, a method that is time-consuming and suboptimal. To address this challenge, we reduce the placement problem to a 2D bin-packing problem, leveraging a hybrid approach combining Genetic Algorithms and Simulated Annealing. This approach enables the generation of optimized placements that find the extremes of arbitrary heuristics, including minimizing routing distance and power density, effectively improving both design efficiency and system performance. The proposed methodology offers a significant step toward automating and optimizing the layout of power electronic components in complex systems.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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