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Massachusetts Institute of Technology

Hybrid power-system architecture for micro-grid

Abstract

dc:description.abstract

Load-independent, fixed-speed operation of prime-movers, such as gas turbines and diesel engines, leads to degraded efficiency at part-loaded conditions. This thesis looks at a hybrid power-system architecture that can boost fuel economy through coordinated variable-speed operation of both prime-movers and drive loads. The propulsion plant of an electric ship serves as an example of a micro-grid with a focus on efficiency and dynamic performance. The proposed power distribution system employs doubly-fed machines for generation and for variable speed loads, and can be used where variable-speed operation improves prime-mover efficiency while minimizing required power electronics ratings. The hybrid power-system architecture achieves reduced fuel footprint, less weight and volume constraints by minimizing system power-electronics rating and allows for a selection of an optimum prime-mover.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ibrahim, Shibal
Advisor dc:contributor.advisor
  • Steven B. Leeb.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/115744
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/115744

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ibrahim, Shibal. Hybrid power-system architecture for micro-grid. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115744