Degradation Aware Predictive Energy Management Strategy for Ship Power Systems
| Autor: | Ellis Oti Boateng, Mehrzad Mohammadi Bijaieh, Satish Vedula, Olugbenga Moses Anubi |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Energy management
Computer science Bandwidth (signal processing) Systems and Control (eess.SY) Electrical Engineering and Systems Science - Systems and Control Energy storage Reliability engineering Generator (circuit theory) Electric power system Model predictive control Optimization and Control (math.OC) Control theory Robustness (computer science) FOS: Mathematics FOS: Electrical engineering electronic engineering information engineering Mathematics - Optimization and Control |
| Popis: | Integration of modern defence weapons into ship power systems poses a challenge in terms of meeting the high ramp rate requirements of those loads. It might be demanding for the generators to meet the ramp rates of these loads. Failure to meet so, might lead to stability issues. This is addressed by conglomeration of generators and energy storage elements to handle the required power demand posed by loads. This paper proposes an energy management strategy based on model predictive control that incorporates the uncertainty in the load prediction. The proposed controller optimally coordinates the power split between the generators and energy storage elements to guarantee that the power demand is met taking into considerations the ramp rate limitations and the load uncertainty. A low bandwidth model consisting of a single generator and a single energy storage element is used to validate the results of the proposed energy management strategy. The results demonstrate the robustness of the controller under load prediction uncertainty and demonstrate the effect of load uncertainty on battery capacity loss. 5 pages |
| Databáze: | OpenAIRE |
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