• DocumentCode
    1973305
  • Title

    Optimal planning for power distribution network with distributed generation in Zanzibar Island

  • Author

    Ismail, Mwaka ; Chen, Min-You ; Li, Xia

  • Author_Institution
    State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    266
  • Lastpage
    269
  • Abstract
    As a renewable energy, wind power generation has become an important development direction for power industries due to its non-pollutant and inexhaustible resource. Reliability improvement, operational cost reduction and power loss decreasing are some of the main benefits of distribution generator (DG) allocation in distribution systems. In this paper, an optimal planning model is presented for the distribution network at Zanzibar Island. The investigation of electric power demand and planning of micro-grid in Mpendae feeder has been conducted. The particle swarm algorithm was used for optimal allocation and sizing of wind distributed generator unit, so as to minimize real power loss and to improve system voltage profile. Simulation results show the effectiveness of the planning model.
  • Keywords
    cost reduction; distributed power generation; particle swarm optimisation; power distribution planning; wind power plants; Mpendae feeder; Zanzibar island; distributed generation; distribution generator; distribution systems; inexhaustible resource; microgrid planning; nonpollutant resource; operational cost reduction; optimal planning; particle swarm algorithm; power distribution network; power industries; power loss; renewable energy; wind distributed generator unit; wind power generation; Generators; Optimization; Planning; Power systems; Resource management; Wind power generation; Wind speed; DG placement; distribution network; renewable energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6057049
  • Filename
    6057049