• DocumentCode
    41704
  • Title

    Security Enhancement With Nodal Criticality-Based Integration of Strategic Micro Grids

  • Author

    Jayaweera, Dilan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
  • Volume
    30
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    337
  • Lastpage
    345
  • Abstract
    Security enhancement of distribution networks are constrained with multiple causes including limited availability of network resources and high penetration of intermittent distributed generation. In that context, this paper proposes a new methodology to enhance the security of power supply in a distribution network by strategically integrating plug-in hybrid electric vehicle (PHEV) micro grids based on the nodal criticality. The nodal criticality is assessed by integrating operational uncertainties of events into samples of Monte Carlo simulation and then classifying load interruptions on the basis of their magnitudes and frequencies. The load shedding due to criticality of system stress is classified into arrays of clusters on the basis of magnitudes of interrupted loads. The critical clusters that provide the largest disturbances to nodal loads are used as the reference capacities of PHEV micro grids to mitigate impacts. Case studies are performed by applying the methodology into a realistic model of a distribution network. Results depict that the proposed methodology can improve the system-wide security of supply. There are some nodes of which the security of supply can be improved significantly. The levels of improvement in security of supply of nodes are not consistent and some nodes can also receive marginal improvements.
  • Keywords
    Monte Carlo methods; distributed power generation; hybrid electric vehicles; power distribution reliability; Monte Carlo simulation; distribution network; interruption classification; nodal criticality based integration; plug-in hybrid electric vehicle; power supply security; security enhancement; strategic microgrids; system wide supply security; Convergence; Distributed power generation; Generators; Load modeling; Monte Carlo methods; Security; Time series analysis; Distribution network planning; Monte Carlo simulation; grid integration of renewables; security of power supply;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2014.2327120
  • Filename
    6827248