• DocumentCode
    1961618
  • Title

    Optimal sizing of a hybrid renewable energy plant using linear programming

  • Author

    Kusakana, K. ; Vermaak, H.J. ; Numbi, B.P.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Syst., Central Univ. of Technol., Bloemfontein, South Africa
  • fYear
    2012
  • fDate
    9-13 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In many isolated and remotes rural areas not served by the grid, islanded hybrid renewable energy systems can be built as main source of electricity. The proper selection of the hybrid system with proper cost and sizing optimization of its components are important and difficult tasks, capital for the system viability. In this paper, the problem is expressed as an optimization problem which minimizes the size and initial cost of the system´s components. This study proposes linear programming to optimize the above system´s characteristics. The proposed methodology is used to design a hybrid system for a farm located in the Kwazulu-Natal, South Africa. The simulation results are compared to numerical optimization methods; showing that the proposed linear programming is reliable, faster and provides excellent feasible optimum solution for investment cost and sizing of islanded hybrid systems comprising several renewable energy sources.
  • Keywords
    costing; hybrid power systems; investment; linear programming; numerical analysis; power generation economics; renewable energy sources; South Africa; capital viability; hybrid renewable energy plant; investment cost; islanded hybrid renewable energy systems; islanded hybrid systems; linear programming; numerical optimization methods; optimal sizing; optimization problem; renewable energy sources; rural areas; sizing optimization; system viability; Hybrid Renewable Energy Systems; MatLab Linear Programming; Numerical method; Optimal Sizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Conference and Exposition in Africa (PowerAfrica), 2012 IEEE
  • Conference_Location
    Johannesburg
  • Print_ISBN
    978-1-4673-2548-6
  • Type

    conf

  • DOI
    10.1109/PowerAfrica.2012.6498608
  • Filename
    6498608