• DocumentCode
    724513
  • Title

    Research on improvement method of distributed generation optimization configuration

  • Author

    Gu Cailian ; Ji Jianwei ; Liu Li ; Guo Cheng

  • Author_Institution
    Shenyang Agric. Univ., Shenyang, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5039
  • Lastpage
    5043
  • Abstract
    The influence on distribution network of the distributed generation (DG) is closely related to the location and capacity connected to the DG, therefore it is very important to study the problems of site selection and capacity determination. The reactive power optimization is considered to improve the voltage level of power grid and reduce line losses. According to the capacity of the DG, The problem about selecting site and determining capacity is decomposed into two kinds of pattern with Parallel operation and island operation, which means comprehensive target of grid losses. voltage deviation and static voltage stability margin is optimal while DG is full load. Optimal allocation model of DG is established, the constraints condition includes node voltage, the transmission current of line, the single DG capacity and the total capacity of all DG. The genetic - ant colony hybrid intelligent algorithm is put forward to calculate the location and capacity of the DG. Simulation results show that the method is effective in problem of location selecting and capacity determing of DG.
  • Keywords
    ant colony optimisation; distributed power generation; distribution networks; optimisation; reactive power; ant colony hybrid intelligent algorithm; capacity determination; distributed generation optimization configuration; distribution network; optimal allocation model; power grid; reactive power optimization; site selection; static voltage stability margin; voltage deviation; Distributed power generation; Optimization; Ant Colony Algorithm; DG; Distribution Network; Genetic Algorithm; Reactive Power Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162826
  • Filename
    7162826