• DocumentCode
    5943
  • Title

    Uncertainty-Based Design of a Bilayer Distribution System for Improved Integration of PHEVs and PV Arrays

  • Author

    ElNozahy, Mohamed S. ; Salama, Magdy M. A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    6
  • Issue
    3
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    659
  • Lastpage
    674
  • Abstract
    Recent years have seen increased interest in green technologies such as photovoltaic (PV) electricity and plug-in hybrid electric vehicles (PHEVs). Such technologies, however, have been found to be detrimental to distribution networks. This paper introduces a novel distribution system architecture that can better accommodate the expected growth in PV electricity and PHEVs. In the proposed architecture, the distribution system becomes a bilayer system composed of the traditional ac layer that serves existing system loads, plus an embedded dc layer that interfaces with PV arrays and PHEVs. A bidirectional converter interconnects the two layers and controls the power flows between them. This paper presents the key design and operational aspects of the proposed architecture, with consideration of different uncertainties inherent in the system. To this end, a probabilistic benchmark has been developed for modeling these uncertainties and for use with the sizing and scheduling of different system components. Monte Carlo (MC) simulations confirmed the technical and economic merit of the proposed design methodology.
  • Keywords
    Monte Carlo methods; distribution networks; hybrid electric vehicles; load flow; solar cell arrays; MC simulations; Monte Carlo simulations; PHEV; PV arrays; PV electricity; bidirectional converter; bilayer distribution system; distribution networks; distribution system architecture; photovoltaic electricity; plug-in hybrid electric vehicles; power flows; uncertainty-based design; Benchmark testing; Electricity; Load modeling; Partial discharges; Probabilistic logic; Production; Uncertainty; Bilayer system; Monte Carlo (MC) simulation; direct current; photovoltaic (PV) arrays; plug-in hybrid electric vehicles (PHEVs);
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2015.2405411
  • Filename
    7072486