• DocumentCode
    2964206
  • Title

    Distributed generation planning using greedy heuristic approach

  • Author

    Al-Yami, I.M. ; El-Amin, I.M.

  • Author_Institution
    Dept. of Electr. Eng., King Fahad Univ. of Pet. & Miner., Dhahran, Saudi Arabia
  • fYear
    2011
  • fDate
    15-17 Nov. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Power system planning relies on two major factors, namely, the load growth and the power security. In addition it considers secondary issues such as design simplicity, environmental concerns and system protection. These are addressed by upgrading or expanding existing network. Distributed Generations (DG) have been increasingly adopted in many utility systems due to many potential benefits on the power delivery systems including its impact to offset the conventional investments incurred by system demands & security needs and hence can offer an alternative option for addressing system requirements. This paper presents a simple two-phase approach that involves DG in the planning process along with the impact that can be obtained from the DG on avoiding the investment. The results demonstrate the potential economic benefits of the DG and the impact of the DG technology.
  • Keywords
    distributed power generation; greedy algorithms; heuristic programming; power generation economics; power generation planning; power system security; DG technology; distributed generation planning process; greedy heuristic approach; power delivery systems; power security; power system planning; system protection; two-phase approach; utility systems; Cogeneration; Distributed power generation; Economics; Investments; Planning; Security; Wind farms; Cost Effectiveness; Distributed Generation; Distribution System Planning; Investment Avoidance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power and Energy Conversion Systems (EPECS), 2011 2nd International Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4577-0804-6
  • Type

    conf

  • DOI
    10.1109/EPECS.2011.6126842
  • Filename
    6126842