Locating and sizing energy storage systems for distribution feeder expansion planning

Cameron MacRae, Melih Ozlen, Andreas Ernst, Sam Behrens

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of the IEEE TENCON 2015
EditorsK. W. Lao
Place of PublicationNew Jersey USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-4799-8641-5
ISBN (Print)978-1-4799-8639-2
Publication statusPublished - 5 Jan 2016
Externally publishedYes
EventIEEE Tencon (IEEE Region 10 Conference) 2015 - Holiday Inn Sands Cotai Central, Macau, China
Duration: 1 Nov 20154 Nov 2015
Conference number: 35th
https://ieeexplore.ieee.org/xpl/conhome/7365563/proceeding (Proceedings)


ConferenceIEEE Tencon (IEEE Region 10 Conference) 2015
Abbreviated titleTENCON 2015
Internet address


  • energy storage
  • optimization
  • power transmission

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