Date of Award

May 2023

Degree Type

Dissertation

Degree Name

Doctor of Philosophy

Department

Engineering

First Advisor

Robert Cuzner

Committee Members

Adel Nasiri, Lingfeng Wang, Tian Zhao, Juan Ordonez

Abstract

The US Navy is currently challenged to develop new ship designs under compressed schedules. These ship designs must incorporate emerging technologies for high power energy conversion to enable smaller ship designs with a high degree of electrification and next-generation electrified weapons. This challenge is being addressed by developing a collaborative concurrent design environment that allows for design space exploration across a wide range of implementation options. The most significant challenge is the assurance of a dependable power and energy service via the shipboard Integrated Power and Energy System (IPES). The IPES comprises interconnected power conversion and distribution equipment with allocated functionalities to meet demanding Quality of Power, Quality of Service, and Survivability requirements. Feasible IPES implementations must fit within the ship hull constraints and must not violate limitations on ship displacement. This thesis applies the dependability theory to the use of scalable metamodels for power conversion and distribution equipment within a collaborative concurrent design environment to enable total ship set-based design outcomes that result in implementable design specifications for procurement of equipment to be used in the final ship implementation. More precisely, proposed MVDC-IPES implementations could be approached through multi-objective optimization techniques to minimize mass, volume, and power loss. The metaheuristic scheme is employed in this scenario to the active rectifier aspect of a power generation module (PGM), which interfaces between each generator and the MVDC bus and significantly impacts overall system space claim, displacement, and heat. A specific, PGM-based, modular multilevel converter (MMC) and Input series and output parallel(ISOP) topologies and its Lowest Replaceable Units (LRUs) -- the power electronic building blocks (PEBBs) along with the arm inductors -- are addressed. The details of the virtual prototyping process applied to the LRUs are then compartmentalized. Finally, the thesis moves to outline a working implementation complete with input data and design results. The Module metamodel is designed to scale according to user-defined cost objectives along Pareto fronts representing the dimensions, weight, losses, reliability, and cost of a corresponding optimal design for discrete points within a constrained design space. A modular drawer-based strategy is using the Virtual Prototyping Process is shown in the thesis with 3 case studies for a PGM MVAC to MVDC systems for Navy applications. These attributes will be selectable according to objectives set at the ship system level. Per the United States Navy's plans for an all-electric warship, it highlights a framework for developing metaheuristic model-based scaling laws that can be applied to set-based designs of shipboard medium voltage direct current (MVDC) Integrated Power and Energy Systems (IPES). The best MVDC-IPES implementations will be based upon multi-objective optimized equipment that minimizes three objectives: mass, volume, and power loss. The active rectifier part of a power generation module (PGM), interfacing between each generator of the MVDC bus, will significantly impact overall system space claim, displacement, and heat. A specific modular multilevel converter (MMC) topological implementation of the PGM is addressed. A virtual prototyping process applied to the Lowest Replaceable Units (LRUs) within the PGM-- the power electronic building blocks (PEBBs) along with the arm inductors -- is described. In particular, the selection of the overall design for the PEBB type was performed by evaluating discrete values of system DC bus voltages, inlet coolant water temperature, and generator frequency.

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