• DocumentCode
    3578536
  • Title

    Optimum generation mix for Malaysia´s additional capacity using evolutionary programming

  • Author

    Husna Abdul Mutalib, N.A. ; Dahlan, N.Y. ; Abon, S.A. ; Rajemi, M.F. ; Nawi, M.N.M. ; Baharum, F.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. Mara Shah Alam (UiTM), Shah Alam, Malaysia
  • fYear
    2014
  • Firstpage
    65
  • Lastpage
    70
  • Abstract
    Energy Commission Malaysia is targeting 4100 MW of power generation capacity via competitive bidding to replace capacity from the 1st generation Power Purchase Agreement (PPA) that will be retired from 2015 to 2017 and to cater for future demand growth. Malaysia´s generation mix has been long time dependence on a single fuel. This over-dependency is not a good option for long-term energy sustainability and security. This has led Malaysia to find other alternative resources to generate electricity. Some possible options are: 1) coal, 2) nuclear and 3) renewable energy (RE). This paper proposes to determine optimum alternative resources of generation mix for Malaysia´s additional capacity in 2015 using Evolutionary Programming (EP) at the least cost. The model takes into account characteristics associated with different technologies, such as the investment cost, the O&M cost, the fuel cost and the heat rate. This paper considers four new expansion candidates i.e. coal, natural gas, nuclear and renewable energy as the major power generation sources. Result shows that, the optimum generation mix for Malaysia´s additional capacity in 2015 will be 67.9% is from coal, 22.51% from natural gas, 8.21% from nuclear and 1.25% from RE.
  • Keywords
    evolutionary computation; investment; power generation economics; power generation planning; renewable energy sources; 1st generation Power Purchase Agreement; Energy Commission Malaysia; O&M cost; PPA; alternative resources; coal; competitive bidding; evolutionary programming; fuel cost; future demand growth; generation mix; heat rate; investment cost; long-term energy sustainability; natural gas; nuclear; power 4100 MW; power generation capacity; power generation sources; renewable energy; Coal; Economics; Electricity; Equations; Mathematical model; Natural gas; Power generation; Economic Dispatch; Evolutionary Programming (EP); Least Cost; Nuclear; Optimum Generation Mix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy (PECon), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-7296-8
  • Type

    conf

  • DOI
    10.1109/PECON.2014.7062415
  • Filename
    7062415