Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks

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

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1 Citation (Scopus)
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The integration of battery energy storage systems (BESS) in the electrical grid is accelerating to mitigate the challenges associated with the rapid deployment of low carbon technologies (LCTs). This work investigates the ability of BESS to provide the power networks with important ancillary services such as peak shaving and grid power levelling through two case studies conducted in collaboration with Northern Ireland's distribution network operator. A powerful approach consisting of two strategies is developed to operate the BESS powerfully to enhance the operation of the distribution network. The first strategy is day‐ahead scheduling that aims to dispatch the distributed BESS to smooth the grid power and mitigate voltage and lines stresses. A powerful demand forecasting algorithm is utilised to efficiently apply the day‐ahead scheduling. The second strategy is a real‐time operation to flatten the grid power which can be used separately or to adjust the results obtained from the day‐ahead strategy against the forecasting errors. The proposed approach was validated using real measurements and applied to an 11 kV distribution network located in Northern Ireland, UK. The BESS expected revenues from the participation in different services available in the island of Ireland are quantified and the degradation is considered.

Original languageEnglish
Pages (from-to)582-598
Number of pages17
JournalIET Smart Grid
Issue number6
Early online date02 May 2021
Publication statusPublished - Dec 2021


  • Battery Energy Storage System
  • Distribution Networks
  • Peak shaving
  • scheduling
  • optimization


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