• DocumentCode
    3581108
  • Title

    A fast optimization method for the distribution system with energy storage based on conic programming

  • Author

    Jinli Zhao ; Yingying Yu ; Peng Li ; Chongbo Sun ; Nan Zhang ; Guanyu Song ; Maosheng Ding

  • Author_Institution
    Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Application of energy storage system (ESS) has been a chance and challenge to distribution system operation and integration of renewable energy sources (RESs). A conic programming (CP) based method is proposed for the optimization of distribution system with ESS in this paper. Firstly, the operation optimization model considering the state of charge (SOC) of ESS is built to minimize the active power losses of distribution system with distributed generation (DG). Equivalent CP model is conversed based on the initial model as format required, which can be solved by some mature optimization tools. Finally, case studies show the feasibility as well as effectiveness of the proposed method.
  • Keywords
    distributed power generation; energy storage; mathematical programming; minimisation; power distribution economics; renewable energy sources; DG; ESS application; RES integration; SOC; active power loss minimization; conic programming; distributed generation; distribution system; energy storage system; equivalent CP model; fast optimization method; renewable energy sources; state of charge; Energy storage; Load flow; Mathematical model; Optimization; Programming; System-on-chip; conic programming; distribution system; energy storage system; loss; renewable energy source;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2014.7066124
  • Filename
    7066124