• DocumentCode
    1777961
  • Title

    Unified optimization of generation and demand side reserves

  • Author

    Jun Wu ; Yusheng Xue ; Bin Cai ; Xiaofang Song ; Jianbing Xu ; Dongliang Xie

  • Author_Institution
    Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    962
  • Lastpage
    968
  • Abstract
    Rational allocation of operating reserve capacity (RC) is one of the key issues to integrate large scale intermittent renewable energy sources (RES) into the grid, and it is increasingly important to make full use of RC of generation side (RCGS) and RC of demand side (RCDS). This paper analyzes the difference of economic characteristics and constraints between RCGS and RCDS, and then proposes a cost-performance ratio (CPR) index defined for all types of RC, which considers all parts of the cost and the effective power generation provided by a specific reserve object (RO) under the target scenario. By using the proposed CPR index, a unified sorting method for selecting the RO from both generation and demand side is proposed, which realizes the unified optimization directly and avoids the tremendous computation time caused by the iterative optimization process between these two sides. Finally, simulation results show the validity and effectiveness of the proposed method.
  • Keywords
    demand side management; electric power generation; iterative methods; optimisation; renewable energy sources; RES; cost-performance ratio index; demand side reserves; generation unified optimization; iterative optimization process; large scale intermittent renewable energy sources; reserve capacity; reserve object; Capacity planning; Economics; Electricity; Indexes; Optimization; Power generation; Power systems; Cost-performance ratio; operating reserve; renewable energy sources; unified optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993923
  • Filename
    6993923