2026-09-19T03:02:48Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1270402026-06-06T01:04:49Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023col_1721.1_131024
Steven B. Leeb, Bryan R. Moser and Daisy Green.
Deeter, Thomas,Lieutenant(Thomas Andrew)
Massachusetts Institute of Technology. Department of Mechanical Engineering.
System Design and Management Program.
Massachusetts Institute of Technology. Engineering and Management Program.
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Engineering and Management Program
2020-09-03T17:43:35Z
2020-09-03T17:43:35Z
2020
2020
https://hdl.handle.net/1721.1/127040
1191659793
Thesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 625-626).
Trends in power system simulation that demand computationally-intensive, physics-based models may impede the acquisition of useful results for applications like condition-based maintenance [1], electrical plant load analysis (EPLA) [2], and the scheduling and tasking of finite generation and distribution resources. A tool that can quickly evaluate many scenarios, as opposed to intense, high fidelity modeling of a single operating scenario, may best serve these applications. This thesis presents a behavioral simulator that can quickly emulate the operation of a relatively large collection of electrical loads, providing "what-if" evaluations for more complete exploration of a design or plant operating envelope. Comparisons to field data collected from a microgrid on-board a 270 foot US Coast Guard "Famous" Class medium endurance cutter demonstrate the utility of this tool and approach. The usefulness of this tool is further demonstrated by showing simulated EPLA load factors within 10%of observed load factors over comparable mission sets, both inport and underway. Finally, this thesis will discuss the lessons learned during SPS development and testing, specifically, the need to expand its modeling capability so it can support direct current (DC) electrical distribution systems. The SPS, in its current form can only model alternating (AC) electrical distribution systems.
by Thomas Deeter.
Nav.E.
S.M. in Engineering and Management
Nav.E. Massachusetts Institute of Technology, Department of Mechanical Engineering
S.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Program
626 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Mechanical Engineering.
System Design and Management Program.
Engineering and Management Program.
Creating a shipboard power simulation tool using electrical load behavior modeling
Thesis
application/pdf
2020-09-03T17:43:35Z
Publication
Master
MechE
SysDes
unknown
unknown
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<Abstract>Trends in power system simulation that demand computationally-intensive, physics-based models may impede the acquisition of useful results for applications like condition-based maintenance [1], electrical plant load analysis (EPLA) [2], and the scheduling and tasking of finite generation and distribution resources. A tool that can quickly evaluate many scenarios, as opposed to intense, high fidelity modeling of a single operating scenario, may best serve these applications. This thesis presents a behavioral simulator that can quickly emulate the operation of a relatively large collection of electrical loads, providing "what-if" evaluations for more complete exploration of a design or plant operating envelope. Comparisons to field data collected from a microgrid on-board a 270 foot US Coast Guard "Famous" Class medium endurance cutter demonstrate the utility of this tool and approach. The usefulness of this tool is further demonstrated by showing simulated EPLA load factors within 10%of observed load factors over comparable mission sets, both inport and underway. Finally, this thesis will discuss the lessons learned during SPS development and testing, specifically, the need to expand its modeling capability so it can support direct current (DC) electrical distribution systems. The SPS, in its current form can only model alternating (AC) electrical distribution systems.</Abstract>
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