• DocumentCode
    77103
  • Title

    Stochastic Resource Planning Strategy to Improve the Efficiency of Microgrid Operation

  • Author

    Zhaohao Ding ; Wei-Jen Lee ; Juanjuan Wang

  • Author_Institution
    Energy Syst. Res. Center, Univ. of Texas at Arlington, Arlington, TX, USA
  • Volume
    51
  • Issue
    3
  • fYear
    2015
  • fDate
    May-June 2015
  • Firstpage
    1978
  • Lastpage
    1986
  • Abstract
    The intermittent nature of distributed renewable generation presents significant challenges for microgrid operation. Advanced demand-side management, with innovative structures and technologies, provides feasible solutions for this issue. This paper presents a stochastic resource planning strategy for the microgrid to optimally manage its resources on both generation and demand sides to improve the system operation efficiency. An internal pricing strategy is proposed to integrate with the traditional operation scheduling model considering both operational and economic constraints. To address the uncertainties in the renewable generation forecasting and customers´ price responsive patterns, the stochastic model is formulated, and the corresponding solution method is provided. A sample microgrid is utilized to illustrate and compare the effectiveness of the proposed models.
  • Keywords
    demand side management; distributed power generation; power generation planning; advanced demand-side management; distributed renewable generation; internal pricing strategy; microgrid operation; renewable generation forecasting; stochastic resource planning strategy; Elasticity; Energy storage; Generators; Load modeling; Microgrids; Pricing; Stochastic processes; Demand-side management (DSM); Microgrid; demand side management; elasticity; microgrid; renewable energy integration; stochastic optimization; unit commitment;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2014.2375379
  • Filename
    6975193