Battery Energy Storage Systems Allocation Considering Distribution Network Congestion

Ahmed A.Raouf Mohamed, D John Morrow, Robert Best, Ian Bailie, Andrew Cupples, Jonathan Pollock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This paper proposes an operational planning strategy for battery energy storage systems (BESS) in medium voltage distribution networks. This strategy determines the optimal location and size for BESS as well as the discharging and charging schedules. The objective of this methodology is to improve reliability and stability by relieving distribution network congestion, such as voltage violations and lines overloading. Particle Swarm, Firefly, Novel Bat, Krill herd and Coyote optimization algorithms have been utilized to find the optimal solutions that improve the network’s performance by mitigating network stresses. The strategy is implemented and validated using two networks; a 53-node test feeder located in Northern Ireland and the 33-bus radial distribution network. Actual demand measurements were used and high uptake scenarios for low carbon technologies were investigated.
Original languageEnglish
Title of host publication2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
Publisher IEEE
Pages1015
Number of pages1019
ISBN (Electronic)978-1-7281-7100-5
DOIs
Publication statusPublished - 10 Nov 2020
EventIEEE PES Innovative Smart Grid Technologies Europe -
Duration: 26 Oct 202028 Oct 2020
https://ieee-isgt-europe.org/

Conference

ConferenceIEEE PES Innovative Smart Grid Technologies Europe
Abbreviated titleIEEE ISGT-Europe
Period26/10/202028/10/2020
Internet address

Keywords

  • Allocation and sizing
  • Battery Energy Storage Systems
  • Distribution Networks
  • Low Carbon Technologies
  • optimization
  • scheduling

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