• DocumentCode
    1774256
  • Title

    Medium and long term load forecasting method for distribution network with high penetration DGs

  • Author

    Mingxin Zhao ; Wei Liu ; Jian Su ; Lijun Zhao ; Xiaojing Dong

  • Author_Institution
    China Electr. Power Res. Inst.(CEPRI), China
  • fYear
    2014
  • fDate
    23-26 Sept. 2014
  • Firstpage
    442
  • Lastpage
    444
  • Abstract
    Middle and long term load forecasting is the essential basis for planning of distribution network. With high penetration DGs (distributed generation) integrated into network, the net load demand of HV/MV network become more complicated, load forecasting encounters greater challenge than ever. Volatility and intermittency of wind and solar power has greatly influenced the load characteristics. A new middle and long term load forecasting method for distribution network with DGs is proposed in this paper, which concerns time-varying characteristic of DG output power. Firstly, we get the conventional spatial load forecasting results. Then, we get yearly time-varying curves of DG output using Monte Carlo simulation. Lastly, superposing time-varying curves of conventional load and DGs, we can get the net-load forecasting result for distribution network, which is more accurate than ever.
  • Keywords
    Monte Carlo methods; load forecasting; power distribution planning; solar power; wind power; DG output power time-varying characteristic; Monte Carlo simulation; distribution network; high penetration DG; high penetration distributed generation; load characteristics; long term load forecasting method; medium term load forecasting method; net load demand; solar power intermittency; solar power volatility; spatial load forecasting results; wind power intermittency; wind power volatility; Abstracts; Biographies; Cities and towns; Economics; Load forecasting; Distributed generation; Load forecasting; Middle and long term; Superposition method; Time-varying Characteristic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2014 China International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/CICED.2014.6991746
  • Filename
    6991746