4.7 Article

Optimal State-Constrained Control of DC Shipboard Power Systems for Online Pulsed Power Load Accommodation

Journal

IEEE TRANSACTIONS ON SMART GRID
Volume 13, Issue 1, Pages 96-105

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2021.3120599

Keywords

Costs; Voltage control; Load modeling; Supercapacitors; Power system stability; Minimization; Hardware; DC shipboard power system; pulsed power load (PPL); online PPL accommodation; state-constrained control; generation cost minimization

Funding

  1. U.S. Office of Naval Research [N00014-21-1-2165, TSG-00557-2021]

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This article presents an optimal control solution based on barrier-Lyapunov-function for online PPL accommodation. By introducing the state-constrained technique, it realizes multiple control objectives including safe charging, high-quality regulation, and dynamic cost minimization.
Pulsed power loads (PPLs) consume a huge amount of energy within a short time. An energy storage system (ESS) is usually installed in a shipboard power system (SPS) for PPL accommodation. Online accommodation strategies, where the PPL is connected to the SPS through the ESS all the time, have great advantages in reducing the hardware cost and increasing the PPL deployment frequency. But there is a lack of online accommodation solutions to deal with the operational requirements. This article presents a barrier-Lyapunov-function-based optimal control solution for online PPL accommodation in dc SPSs. By introducing the state-constrained technique, the operational constraints on the supply current for PPL accommodation and the bus voltage are all respected. Three control objectives, including safe and fast ESS charging, high-quality regulation of the dc bus voltage, and generation cost dynamic minimization, are realized simultaneously. The stability and optimality of the control solution are guaranteed rigorously via the Lyapunov synthesis. Simulations based on a switch-level SPS model demonstrate the effectiveness of the proposed control solution.

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