• DocumentCode
    1843688
  • Title

    Financially optimized scheduling of electric energy storage in presence of renewable energy resources

  • Author

    Narimani, A. ; Nourbakhsh, G. ; Ledwich, G.F. ; Walker, G.R. ; Ghasemi, N.

  • Author_Institution
    School of Electrical Engineering and Computer Science, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia
  • fYear
    2015
  • fDate
    22-25 June 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The increasing integration of Renewable Energy Resources (RER) and the role of Electric Energy Storage (EES) in distribution systems has created interest in using energy management strategies. EES has become a suitable resource to manage energy consumption and generation in smart grid. Optimize scheduling of EES can also maximize retailer´s profit by introducing energy time-shift opportunities. This paper proposes a new strategy for scheduling EES in order to reduce the impact of electricity market price and load uncertainty on retailers´ profit. The proposed strategy optimizes the cost of purchasing energy with the objective of minimizing surplus energy cost in hedging contract. A case study is provided to demonstrate the impact of the proposed strategy on retailers´ financial benefit.
  • Keywords
    Contracts; Energy storage; Forecasting; Generators; Optimization; Power systems; Uncertainty; Electric Energy storage; Energy costs; Optimization; Renewable energy resource;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics for Distributed Generation Systems (PEDG), 2015 IEEE 6th International Symposium on
  • Conference_Location
    Aachen, Germany
  • Type

    conf

  • DOI
    10.1109/PEDG.2015.7223061
  • Filename
    7223061