• DocumentCode
    2675862
  • Title

    Load fluctuation analysis of commercial and residential customers for operation planning of a hybrid photovoltaic and cogeneration system

  • Author

    Asano, H. ; Bando, S.

  • Author_Institution
    Tokyo Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    The Japanese government has set targets for increasing the contribution from renewable energy sources, such as wind power and photovoltaic (PV) generation. The fluctuating power of renewable energy sources, however, might degrade power quality such as voltage and frequency. To increase renewable energy near the demand side, a microgrid that utilizes controllable prime movers such as gas engines to compensate fluctuating demand and output of renewable energy is proposed here. First, measured load data of an office building and an apartment building were analyzed to clarify trends of daily load curve, periodograms, and residual demand. These analyses revealed the appropriate time length for operation planning and the economic load control problems of a hybrid generation system. The results of the optimal operation planning problem indicate that the proposed operation and control method is effective for energy-efficient operation of microgrids
  • Keywords
    cogeneration; distributed power generation; government; hybrid power systems; load regulation; photovoltaic power systems; power generation control; power generation economics; power generation planning; power supply quality; renewable energy sources; Japanese government; apartment building; cogeneration system; commercial; controllable prime movers; daily load curve; economic load control problems; gas engines; hybrid generation system; load fluctuation analysis; microgrid; office building; operation planning; periodograms; photovoltaic generation; photovoltaic system; power fluctuation; power quality; renewable energy sources; residential customers; residual demand; wind power generation; Cogeneration; Fluctuations; Government; Photovoltaic systems; Power generation; Power system planning; Renewable energy resources; Solar power generation; Wind energy; Wind energy generation; Cogeneration; Distributed generation; Load analysis; PV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709111
  • Filename
    1709111