• DocumentCode
    623043
  • Title

    Application of a grid scale energy storage system to reduce distribution network losses

  • Author

    Saboori, Hedayat ; Abdi, Hamdi

  • Author_Institution
    Energy Dept., Kermanshah Univ. of Technol. (KUT), Kermanshah, Iran
  • fYear
    2013
  • fDate
    April 30 2013-May 1 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Recent progress in advanced energy storage systems (ESS) and their relative technological maturity imply a promising future for energy storage. As a consequence, the use of stored energy to support and optimize the generation, transmission, and distribution subsystems has been grown up worldwide. One of the ESS applications is using them for load leveling. Since network losses is a square function of current, shifting load from peak to off-peak periods can potentially reduce system losses. This paper gives a quantitative survey of the possible reduction in losses, for a situation where distribution feeder load is shifted in time but not reduced. Load leveling practice will be done by an ESS unit installed in the distribution substation. Various factors governing loss reduction such as transformer side installation (MVlLV) are analyzed. Also, required ESS characteristics like Ampere-hour (Ah) capacity, current, power, and charge /discharge speed to ideally leveling the load are presented. Simulation results show that besides loss reduction, load leveling has a significant impact on network capacity. In other words, shifting peak load can defer investment plans considering load growth in the near future.
  • Keywords
    distribution networks; energy storage; substations; Ah capacity; Ampere-hour capacity; ESS unit; MVlLV; advanced ESS; advanced energy storage systems; charge-discharge speed; distribution feeder load; distribution network loss reduction; distribution substation; distribution subsystem optimization; generation subsystem optimization; grid-scale energy storage system; investment plans; load growth; load leveling; load leveling practice; network capacity; technological maturity; transformer side installation; transmission subsystem optimization; Artificial neural networks; Discharges (electric); Distribution Losses; Energy Storage System (ESS); Load Leveling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power Distribution Networks (EPDC), 2013 18th Conference on
  • Conference_Location
    Kermanshah
  • Print_ISBN
    978-1-4799-0092-3
  • Type

    conf

  • DOI
    10.1109/EPDC.2013.6565963
  • Filename
    6565963