• DocumentCode
    948
  • Title

    Assessing the Transmission Expansion Cost With Distributed Generation: An Australian Case Study

  • Author

    FengJi Luo ; Junhua Zhao ; Jing Qiu ; Foster, J. ; Yaoyao Peng ; Zhaoyang Dong

  • Author_Institution
    Centre for Intell. Electr. Networks, Univ. of Newcastle, Newcastle, NSW, Australia
  • Volume
    5
  • Issue
    4
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1892
  • Lastpage
    1904
  • Abstract
    Distributed generation (DG) is rapidly increasing its penetration level worldwide and is expected to play a more important role in providing power. An important benefit of DG is its ability to defer transmission investments. In this paper, a simulation model is implemented to conduct quantitative analysis on the effect of DG on transmission investment deferral. The transmission expansion model is formulated as a multi-objective optimization problem with comprehensive technical constraints, such as AC power flow and system reliability and/or security. The case study that was selected is the Queensland electricity market in Australia. Simulation results show that DG can reduce transmission investments significantly. This ability however is greatly influenced by a number of factors, such as the location of DG, the network topology, and power system technical constraints.
  • Keywords
    distributed power generation; investment; optimisation; power markets; power transmission economics; AC power flow; Australian case study; DG location; Queensland electricity market; comprehensive technical constraints; distributed generation; multiobjective optimization problem; network topology; power system technical constraints; quantitative analysis; system reliability; system security; transmission expansion cost assessment; transmission investment deferral; Generators; Investment; Load modeling; Power system stability; Reliability; Security; Wind speed; Distributed generation; cost allocation; transmission expansion;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2014.2314451
  • Filename
    6813666