• DocumentCode
    53639
  • Title

    Shipboard Power Systems Reconfiguration—A Cyber-Physical Framework For Response Time Analysis

  • Author

    Bose, Sayan ; Natarajan, Balasubramaniam ; Scoglio, Caterina M. ; Schulz, Noel N. ; Gruenbacher, Don M. ; Das, S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Kansas State Univ., Kansas City, KS, USA
  • Volume
    10
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    439
  • Lastpage
    449
  • Abstract
    Several applications within a shipboard system involve the integration of physical systems (e.g., power systems) and cyber computing platforms such as command and control, communications, and sensing networks, and require real-time quality of service (QoS) guarantees. In this paper, the distribution of total (end-to-end) delay associated with fault diagnosis and reconfiguration of shipboard power system (SPS) is investigated from a cyber-physical systems (CPS) perspective. Specifically, a cross-layer end-to-end delay analysis framework is introduced for SPS reconfiguration. The proposed framework stochastically models the heterogeneity of actions of various subsystems involved in the reconfiguration tasks viz., generation of fault information by sensor nodes associated to the power system, processing of actions at control center to resolve fault locations and reconfiguration, and flow of information through communication network to perform necessary actions. The proposed framework then combines appropriately the output delay distributions from each subsystem to: 1) analytically predict the distribution of end-to-end delay in SPS reconfiguration after the occurrence of faults and 2) analyze and design real-time reconfiguration solutions for shipboard CPS, that meet total delay requirements. Simulations using various topological scenarios demonstrate that the proposed analytical framework closely predict the total delay associated with SPS reconfiguration.
  • Keywords
    delays; embedded systems; fault location; marine power systems; power engineering computing; power system faults; power system reliability; quality of service; stochastic processes; wireless sensor networks; QoS; SPS reconfiguration; action heterogeneity processing; communication network; control center; cross-layer end-to-end delay analysis; cyber computing; cyber-physical system; delay distribution; delay requirement; fault diagnosis; fault information generation; fault location; information flow; response time analysis; sensor node; shipboard CPS; shipboard power system; stochastic model; Cyber-physical systems; delay distribution; end-to-end response time analysis framework; real-time quality of service (QoS); sensor topology; shipboard power system (SPS);
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2013.2262282
  • Filename
    6514880