• DocumentCode
    676595
  • Title

    Optimal proportion of grid-connected microgrid capacity in low-carbon economy

  • Author

    Guo Siqi ; Yuan Yue ; Cao Yang ; He Guoqing ; Bao Wei

  • Author_Institution
    Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
  • fYear
    2013
  • fDate
    9-11 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Distribution generation (DG) can be realized in utility through the powerful carrier-microgrid. In addition, the smart dispatching of microgrid can further promote the cascading utilization of energy resources, improving the structure of energy resources and enhancing the function of power grid in the development of the low-carbon economy. In this paper, two energy management modes are proposed and illustrated with examples in actual system. The unit investment costs of energy saving and emission reduction are analyzed. Particle swarm optimization algorithm (PSOA) is applied to optimize the management mode, which is relatively better in economy, to further reduce the unit investment cost. With the PSOA method, the unit investment cost is reduced and the system is more economical. Based on the result, an effective energy management mode is suggested, which ensures the optimal proportion of DG capacity within the microgrid.
  • Keywords
    distributed power generation; energy management systems; particle swarm optimisation; distribution generation; emission reduction; energy management modes; energy resources; energy saving; grid connected microgrid capacity; low carbon economy; optimal proportion; particle swarm optimization algorithm; power grid; powerful carrier microgrid; smart dispatching; unit investment costs; Energy management; Low-carbon; Microgrid; Optimal proportion of capacity;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2013), 2nd IET
  • Conference_Location
    Beijing
  • Electronic_ISBN
    978-1-84919-758-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.1807
  • Filename
    6718718