Optimal-Control-Based Evaluation of Shipboard Power Systems with Energy Magazines

Producción científica: Conference contributionrevisión exhaustiva

1 Cita (Scopus)

Resumen

In the current era of mission-oriented power systems, the optimal control and performance evaluation is done in the presence of dynamic loads based on the initial allocation of energy storage. In this paper, the optimal performance of mission-based systems is evaluated in presence of both dynamic loads which are involved in missions, and regular loads which are not involved in missions. The evaluation takes place in presence of energy magazines which essentially involve a power converter with energy storage that are connected to one or more load. Such evaluation is essential because it helps in the understanding of allocation of energy to vital and non-vital loads, as opposed to a system which only considers mission loads. The optimization problem can be solved using Markov decision process (MDP) where state-space models can be used to represent missions and the systems to determine the maximum performance during missions.

Idioma originalEnglish
Título de la publicación alojada2023 IEEE Electric Ship Technologies Symposium, ESTS 2023
Páginas72-77
Número de páginas6
ISBN (versión digital)9781665465151
DOI
EstadoPublished - 2023
Evento2023 IEEE Electric Ship Technologies Symposium, ESTS 2023 - Alexandria, United States
Duración: ago 1 2023ago 4 2023

Serie de la publicación

Nombre2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

Conference

Conference2023 IEEE Electric Ship Technologies Symposium, ESTS 2023
País/TerritorioUnited States
CiudadAlexandria
Período8/1/238/4/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

Financiación

This work was supported by the Office of Naval Research N00014-20-1-2816.

FinanciadoresNúmero del financiador
Office of Naval ResearchN00014-20-1-2816

    ASJC Scopus subject areas

    • Energy Engineering and Power Technology
    • Automotive Engineering
    • Electrical and Electronic Engineering
    • Control and Optimization

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