• DocumentCode
    2673138
  • Title

    Distributed control agents approach to energy management in electric shipboard power system

  • Author

    Feliachi, Ali ; Schoder, Karl ; Ganesh, Shilpa ; Lai, Hong-Jian

  • Author_Institution
    Adv. Power & Electr. Res. Center, West Virginia Univ., Morgantown, WV
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    The automatic reconfiguration of electric shipboard power systems is an important step toward improved fight-through and self-healing capabilities of naval warships. The improvements are envisioned by redesigning the electric power system and its controls. This paper presents a new scheme for an energy management system in the form of distributed control agents. The control agents´ task is to ensure supply of the various load demands while taking into consideration system constraints and load priorities. A graph theoretic self-stabilizing maximum flow algorithm for the implementation of the agents´ strategies has been developed to find a global solution using local information and a minimum amount of communication. A case study using the distributed agents within a multilayer system architecture to function as energy management system is presented
  • Keywords
    distributed control; energy management systems; graph theory; ships; automatic reconfiguration; distributed control agents; distributed control agents approach; electric shipboard power system; energy management system; graph theoretic self-stabilizing maximum flow algorithm; multilayer system architecture; naval warships; Automatic control; Automation; Communication system control; Control systems; Distributed control; Energy management; Power system control; Power system management; Power systems; Propulsion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1708943
  • Filename
    1708943