• DocumentCode
    2616609
  • Title

    Application of The Ant-Based Network for Power System Restoration

  • Author

    Chin, Hong-Chan ; Su, Yuh-Sheng

  • Author_Institution
    Dept. of Electr. Eng., Cheng Shiu Univ., Kaohsiung
  • fYear
    2005
  • fDate
    2005
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper developed an algorithm of parallel ant colony to solve the problem of restoration. The proposed algorithm is a parallel mechanism based on ant colony optimization (ACO) and has cooperative interactions among ant colonies. It has both the advantage of ACO, the ability to find feasible solutions and to avoid premature convergence, and the advantage of heuristics, the ability to conduct fine-tuning to find the optimal solutions. This paper focuses on restoration associated with power failures such as island formations or blackouts resulting from significant loss of generation or bulk power transmission. The propose method will use the ant-based network and analysis techniques to search the optimal re-energize path and build the optimal restorative strategies, in order to restore un-served load with the minimal time and cost
  • Keywords
    cooperative systems; failure analysis; optimisation; power system analysis computing; power system restoration; ACO; ant-based network; cooperative interactions; parallel ant colony optimization; power failures; power system restoration; premature convergence; Ant colony optimization; Control systems; Cost function; Decision making; Power generation; Power system control; Power system faults; Power system restoration; Power transmission; Propagation losses; Ant Colony Optimization; Re-energize; Restorative strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
  • Conference_Location
    Dalian
  • Print_ISBN
    0-7803-9114-4
  • Type

    conf

  • DOI
    10.1109/TDC.2005.1547094
  • Filename
    1547094