• DocumentCode
    2819463
  • Title

    State Estimation and Fast Fault Detection For Ship Electrical Systems

  • Author

    Kusic, George L.

  • Author_Institution
    Pittsburgh Univ., Pittsburgh
  • fYear
    2007
  • fDate
    21-23 May 2007
  • Firstpage
    209
  • Lastpage
    214
  • Abstract
    In this paper, the advantages of state estimation on ship power systems are demonstrated and extended to perform fast fault detection. For more-electric ships it becomes critical to monitor the system and respond to faults within milliseconds to limit damage from the fault and transfer to an intact supply. A compact ship allows syncronization of sampled real time voltage and current data from electrical sensors to compute the phase angle and voltage magnitude at every bus on the system. On a ship power system the data samples can be collected every 0.5 milliseconds by the central computer. Bad data analysis, smoothed values for the operating condition, and differential current sensing are performed within milliseconds. An example of state estimation is done for an LPD17 assault ship. Other examples of using phase data and fault detection are given in the paper. Algorithms for remedial action may be activated by the results of the state estimation and fault detection.
  • Keywords
    data analysis; electric vehicles; fault location; power system faults; power system state estimation; ships; LPD17 assault ship; data analysis; differential current sensing; electrical sensors; fault detection; phase angle; real time voltage; ship electrical systems; ship power systems; state estimation; voltage magnitude; Electrical fault detection; Fault detection; Marine vehicles; Monitoring; Power system analysis computing; Power system faults; Real time systems; Sensor systems; State estimation; Voltage; Fast Fault Detection; Phase Angle Measurements; Sampled Data; Ship Survivability; State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Ship Technologies Symposium, 2007. ESTS '07. IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0947-0
  • Electronic_ISBN
    1-4244-0947-0
  • Type

    conf

  • DOI
    10.1109/ESTS.2007.372087
  • Filename
    4233823