• DocumentCode
    1756274
  • Title

    Improving Wind Farm Dispatch in the Australian Electricity Market With Battery Energy Storage Using Model Predictive Control

  • Author

    Khatamianfar, Arash ; Khalid, Muhammad ; Savkin, Andrey V. ; Agelidis, Vassilios Georgios

  • Author_Institution
    Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
  • Volume
    4
  • Issue
    3
  • fYear
    2013
  • fDate
    41456
  • Firstpage
    745
  • Lastpage
    755
  • Abstract
    This paper presents a novel wind farm dispatch control scheme by integrating a battery energy storage system (BESS) to manage the amount of net energy generation sold to the electricity market. The scheme is based on model predictive control to ensure the optimal operation of BESS in the presence of practical system constraints. The proposed scheme follows a decision policy to efficiently sell more energy at peak demand/price times and store it at off-peak periods in compliance with the electricity rules of the Australian National Electricity Market. The performance of the proposed control scheme is assessed under different scenarios in terms of a key performance index and earning comparison from power sale using actual wind farm and electricity price data.
  • Keywords
    battery storage plants; power generation control; power generation economics; power markets; predictive control; wind power plants; Australian national electricity market; BESS; battery energy storage system; decision policy; electricity price data; model predictive control; net energy generation; power sale; wind farm dispatch control scheme; Control systems; Decision making; Electricity; Electricity supply industry; Generators; Wind farms; Wind power generation; Australian electricity market; battery energy storage; control applications; model predictive control; power dispatch; renewable energy; wind power;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2013.2245427
  • Filename
    6478862