• DocumentCode
    1953311
  • Title

    Demand response and energy storage in MV islanded microgrids for high penetration of renewables

  • Author

    Alharbi, Walied ; Bhattacharya, Kankar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    21-23 Aug. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Demand response (DR) and energy storage (ES) have the potential to support high levels of renewable energy (RE) penetration than currently possible, by providing such flexibility in power system operations. This paper presents optimal energy management in islanded microgrids using DR mechanisms and ES system, for enabling secure microgrids with high penetration of renewables. The potential for achieving higher penetration in islanded microgrids is also investigated. A mathematical model is developed for the islanded mode operation of a microgrid. The optimization is formulated as a mixed integer linear programming (MILP) problem, which is solved using the CPLEX solver in the General Algebraic Modeling System (GAMS) platform. A case study is carried out to illustrate the usefulness of the proposed model. The numerical results show the effectiveness of the coordinated operation of ES with DR on operational costs, and RE penetration levels.
  • Keywords
    demand side management; distributed power generation; energy management systems; energy storage; integer programming; linear programming; power system security; CPLEX solver; DR mechanisms; ES system; GAMS platform; MILP problem; MV islanded microgrids; RE penetration levels; demand response; energy storage; general algebraic modeling system; mathematical model; mixed integer linear programming; operational costs; optimal energy management; power system operations; renewable energy penetration; Energy storage; Load management; Mathematical model; Microgrids; Power generation; Renewable energy sources; Spinning; Demand response; energy storage; microgrids; mixed integer linear programming; renewable energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power & Energy Conference (EPEC), 2013 IEEE
  • Conference_Location
    Halifax, NS
  • Print_ISBN
    978-1-4799-0105-0
  • Type

    conf

  • DOI
    10.1109/EPEC.2013.6802928
  • Filename
    6802928