• DocumentCode
    2048398
  • Title

    Impact study of energy storage for optimal energy scheduling in microgrid

  • Author

    Zheng Zhao ; Makram, E.B. ; Yuliang Tong

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Clemson Univ., Clemson, SC, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Microgrid is one essential part of study in smart grid. In this paper, an optimal energy management in microgrid considering the impact of energy storage system is studied. The purpose is to minimize the total cost, improve the renewable energy utilization efficiency and maximize the profits gained by a microgrid. The model for this problem is found as a multi-parametric programming constrained by dynamic programming. In this study, an advanced dynamic programming is proposed in solving this model. This approach is tested on a typical microgrid case in different operation conditions. At last, the results are presented and conclusions are drawn.
  • Keywords
    distributed power generation; dynamic programming; energy conservation; energy management systems; energy storage; power generation scheduling; smart power grids; advanced dynamic programming; energy storage system; microgrid; multiparametric programming; optimal energy management; optimal energy scheduling; renewable energy utilization efficiency; smart grid; Batteries; Dynamic programming; Electricity; Energy management; Wind forecasting; Microgrid; advanced dynamic programming; energy management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6344915
  • Filename
    6344915