Progress in the development of adaptive control for shipboard power systems through modeling and simulations

  • Authors:

  • A. J. Mair;R. R. Soman;P. C. Baker;E. M. Davidson;S. D. J. McArthur;S. K. Srivastava;M. Andrus;D. A. Cartes

  • Affiliations:

  • University of Strathclyde, Glasgow, UK;University of Strathclyde, Glasgow, UK;University of Strathclyde, Glasgow, UK;University of Strathclyde, Glasgow, UK;University of Strathclyde, Glasgow, UK;Florida State University, Tallahassee;Florida State University, Tallahassee;Florida State University, Tallahassee

  • Venue:
  • Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation
  • Year:
  • 2010

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Abstract

This paper reports on work being conducted on the development of an adaptive control scheme for the proposed zonal Medium Voltage AC and Medium Voltage DC shipboard power systems. These systems are modeled in high fidelity on a Real Time Digital Simulator. Extending the authors' previous work on locating faults using machine learning algorithms, different zonal loadings are simulated on the Medium Voltage AC system to determine how well those algorithms can generalize to previously unseen data. In addition to these system level faults, this paper considers the simulation of faults within power converter modules. The paper also outlines future work, which includes the simulation of the Medium Voltage DC shipboard power system, diagnostic platform integration with the Real Time Digital Simulator to allow real time verification of control schemes and the generation of hardware fault data to validate simulation results.