• DocumentCode
    3542334
  • Title

    Reducing fuel consumption in microgrids using PV, batteries, and generator cycling

  • Author

    Bhandari, Yogesh ; Chalise, Santosh ; Sternhagen, Jason ; Tonkoski, Reinaldo

  • Author_Institution
    Electr. Eng. & Comput. Sci. Dept., South Dakota State Univ., Brookings, SD, USA
  • fYear
    2013
  • fDate
    9-11 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Diesel generators are the most common source of electricity for remote microgrids. Typically, remote microgrids have load profiles with large peak to average ratios which results in frequent operation of the generators at low loading. Generators are most efficient near rated load and operation at low loading results in poor fuel utilization and increased cost. Photovoltaics (PV) can be added to microgrids to reduce the cost of energy but can aggravate the problem of low generator loading. This paper analyses several methods to reduce fuel consumption in microgrids: PV, batteries, and generator cycling. The performance of these methods was evaluated through simulations using the software HOMER and an economic analysis. Results show the effectiveness of PV generator cycling, and batteries to reduce fuel consumption and energy costs.
  • Keywords
    diesel-electric generators; distributed power generation; photovoltaic power systems; power generation economics; secondary cells; PV generator cycling; batteries; diesel generators; economic analysis; energy costs; fuel consumption; fuel utilization; load profiles; low generator loading; photovoltaics; rated load; remote microgrids; software HOMER; Batteries; Fuels; Generators; Load modeling; Loading; Microgrids; Photovoltaic systems; Battery storage; HOMER; diesel generator; fuel cost; generator cycling; microgrid; photovoltaic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2013 IEEE International Conference on
  • Conference_Location
    Rapid City, SD
  • ISSN
    2154-0357
  • Print_ISBN
    978-1-4673-5207-9
  • Type

    conf

  • DOI
    10.1109/EIT.2013.6632692
  • Filename
    6632692