• DocumentCode
    2107623
  • Title

    Optimization of battery energy storage system with super-capacitor for renewable energy applications

  • Author

    Hu, Xiaolei ; Tseng, K.J. ; Srinivasan, M.

  • Author_Institution
    Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2011
  • fDate
    May 30 2011-June 3 2011
  • Firstpage
    1552
  • Lastpage
    1557
  • Abstract
    In order to deliver continuous power from renewable energy systems, such as solar and wind power, which may be intermittent, Battery/Super-Capacitor hybrid systems have been proposed. To maximize battery lifespan and storage capacity, charging/discharging cycles should be minimized. In this paper, a control strategy based on Model Predictive Control (MPC) is proposed. Perturbation of battery current is minimized and the rating of super capacitor is optimally selected, so as to enable the battery to meet the energy demand while having the super-capacitor to meet the power requirement of the load. Simulation in MATLAB shows the proposed control strategy to be achieving a desired and optimal performance.
  • Keywords
    battery storage plants; energy storage; optimisation; power grids; predictive control; renewable energy sources; secondary cells; supercapacitors; MPC; Matlab; battery energy storage system; charging-discharging cycle; control strategy; model predictive control; optimization; power grid; renewable energy application; solar power; supercapacitor; wind power; Batteries; Capacitors; Equations; Load modeling; Mathematical model; Renewable energy resources; Voltage control; Battery; Energy Storage System; Model Predictive Control; Super-Capacitor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on
  • Conference_Location
    Jeju
  • ISSN
    2150-6078
  • Print_ISBN
    978-1-61284-958-4
  • Electronic_ISBN
    2150-6078
  • Type

    conf

  • DOI
    10.1109/ICPE.2011.5944515
  • Filename
    5944515