• DocumentCode
    3394647
  • Title

    Intelligent Control Strategy for Energy Storage in Distribution Systems

  • Author

    Yixing Xu ; Singh, Chaman

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2012
  • fDate
    27-29 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the rapid development of energy storage technologies, there is a growing interest in integrating these devices into distribution systems. Energy storage can be utilized to provide various benefits to the distribution systems. In this paper, the reliability and economic benefits (i.e. energy cost) are the focus. Different control strategies of energy storage have corresponding reliability and economic impacts on the systems. An intelligent Model Predictive Control (MPC)-based control strategy for energy storage is first introduced and compared with a conventional standby backup control strategy. Then a modified MPC-based control strategy is proposed to more effectively utilize limited energy storage capacity to improve system reliability and save energy cost. Simulation results are shown to illustrate different control strategies and demonstrate benefits.
  • Keywords
    energy storage; intelligent control; power distribution control; power distribution economics; power distribution reliability; predictive control; MPC-based control strategy; conventional standby backup control strategy; distribution systems; economic benefits; energy storage technology; intelligent model predictive control based control strategy; reliability; Energy storage; Load modeling; Power markets; Power system reliability; Reliability; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
  • Conference_Location
    Shanghai
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4577-0545-8
  • Type

    conf

  • DOI
    10.1109/APPEEC.2012.6307441
  • Filename
    6307441