Abstract
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.
Original language | English |
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Title of host publication | 2023 IEEE Electric Ship Technologies Symposium, ESTS 2023 |
Pages | 72-77 |
Number of pages | 6 |
ISBN (Electronic) | 9781665465151 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE Electric Ship Technologies Symposium, ESTS 2023 - Alexandria, United States Duration: Aug 1 2023 → Aug 4 2023 |
Publication series
Name | 2023 IEEE Electric Ship Technologies Symposium, ESTS 2023 |
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Conference
Conference | 2023 IEEE Electric Ship Technologies Symposium, ESTS 2023 |
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Country/Territory | United States |
City | Alexandria |
Period | 8/1/23 → 8/4/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Automotive Engineering
- Electrical and Electronic Engineering
- Control and Optimization