• DocumentCode
    1702584
  • Title

    Intelligent protection system design for shipboard power system

  • Author

    Fang Ming ; Fu Lijun ; Ye ZhiHao ; Hu Liangdeng

  • Author_Institution
    Nat. Key Lab. for Vessel Integrated Power Syst. Technol., Naval Univ. of Eng., Wuhan, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    1562
  • Lastpage
    1567
  • Abstract
    This paper proposes a breaker switching strategy for selective protection of a typical shipboard power system A mapping relationship between the fault characters and the breaker switching strategy is established based on the back propagation neural networks (BPNN). The designing process of the BPNN intelligent protection was described in detail. In order to prove the effectiveness of the proposed protection scheme, a close-loop testing system including power system simulation and fault detection program was established. Moreover, an intelligent protection prototype has been developed, which is tested by the AC radial distribution system. By use of the Hypersim real-time close-loop testing system, further tests are conducted for a more complex system.
  • Keywords
    backpropagation; circuit breakers; marine power systems; neural nets; power distribution faults; power distribution protection; power engineering computing; ships; AC radial distribution system; BPNN intelligent protection; Hypersim real-time close-loop testing system; back propagation neural networks; breaker switching strategy; fault characters; fault detection program; intelligent protection system design; mapping relationship; power system simulation; shipboard power system; Artificial intelligence; Generators; Power systems; Prototypes; Switches; Testing; Training; BP neural network; Shipboard Power System; breaker switching strategy; distribution network; intelligent protection scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Power System Automation and Protection (APAP), 2011 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9622-8
  • Type

    conf

  • DOI
    10.1109/APAP.2011.6180751
  • Filename
    6180751