Resumen
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.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 |
| Páginas | 225-231 |
| Número de páginas | 7 |
| ISBN (versión digital) | 9781509049448 |
| DOI | |
| Estado | Published - oct 16 2017 |
| Evento | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 - Arlington, United States Duración: ago 14 2017 → ago 17 2017 |
Serie de la publicación
| Nombre | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 |
|---|
Conference
| Conference | 2017 IEEE Electric Ship Technologies Symposium, ESTS 2017 |
|---|---|
| País/Territorio | United States |
| Ciudad | Arlington |
| Período | 8/14/17 → 8/17/17 |
Nota bibliográfica
Publisher Copyright:© 2017 IEEE.
Financiación
This work was supported by the Office of Naval Research as part of the Electric Ship Research and Development Consortium (ESRDC).
| Financiadores |
|---|
| 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
Huella
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