Abstract
Future shipboard power system architectures are designed to service high-power pulsed loads through a combination of generators and energy storage for volume and weight considerations. Optimal control solutions therefore depend on both past and future events. This complicates evaluation of the relative performance of different architectures due to dependence on controller strategies and algorithms. Herein, we introduce a technique for early stage evaluation of the relative performance of various ship power system designs by assuming a known future and calculating the best-case performance of any possible controller design. We demonstrate this technique using 6 mission scenarios on a representative multi-bus power system architecture. The controller has perfect future knowledge of the loads on each 10 minute mission, which provides an upper bound on performance for a given architecture. While not usually achievable in practice, this technique allows a fair early stage comparison of multiple architectures regardless of controller type.
Original language | English |
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Title of host publication | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 |
Pages | 225-231 |
Number of pages | 7 |
ISBN (Electronic) | 9781509049448 |
DOIs | |
State | Published - Oct 16 2017 |
Event | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 - Arlington, United States Duration: Aug 14 2017 → Aug 17 2017 |
Publication series
Name | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 |
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Conference
Conference | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 |
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Country/Territory | United States |
City | Arlington |
Period | 8/14/17 → 8/17/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Funding
This work was supported by the Office of Naval Research as part of the Electric Ship Research and Development Consortium (ESRDC).
Funders | Funder number |
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ESRDC | |
Office of Naval Research as part of the Electric Ship Research and Development Consortium |
ASJC Scopus subject areas
- Automotive Engineering
- Transportation
- Energy Engineering and Power Technology