• DocumentCode
    3723863
  • Title

    Locating and sizing energy storage systems for distribution feeder expansion planning

  • Author

    Cameron MacRae;Melih Ozlen;Andreas Ernst;Sam Behrens

  • Author_Institution
    School of Mathematical and Geospatial Sciences, RMIT University, GPO Box 2476, Melbourne VIC 3001, Australia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present a mixed integer programming (MIP) formulation of an electricity network expansion planning model that considers the location, sizing, and operation of energy storage systems (ESS) as well as additional circuits. The model includes constraints to manage generator ramp rates, ESS charge/discharge rates, and losses on power transferred to, from, and within storage. Two new test networks based on representative feeder taxonomies identified by the National Feeder Taxonomy Study are used to demonstrate the use of the model, and a procedure to create other such test systems is defined. We find that ESS are typically omitted from the expansion plan as the cost of installing the new circuits is currently less than the cost of distribution scale energy storage.
  • Keywords
    "Computational modeling","Integrated circuit modeling","Energy storage"
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2015 - 2015 IEEE Region 10 Conference
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-8639-2
  • Electronic_ISBN
    2159-3450
  • Type

    conf

  • DOI
    10.1109/TENCON.2015.7373107
  • Filename
    7373107