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Abstract
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 language | English |
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Pages (from-to) | 582-598 |
Number of pages | 17 |
Journal | IET Smart Grid |
Volume | 4 |
Issue number | 6 |
Early online date | 02 May 2021 |
DOIs | |
Publication status | Published - Dec 2021 |
Keywords
- Battery Energy Storage System
- Distribution Networks
- Peak shaving
- scheduling
- optimization
- ORIGINAL RESEARCH PAPER
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Dive into the research topics of 'Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks'. Together they form a unique fingerprint.Projects
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R6966ELE: SPIRE 2 - Storage Platform for the Integration of Renewable Energy
Liu, X. A. (PI), Best, R. (CoI), Foley, A. (CoI) & Morrow, D. J. (CoI)
09/06/2017 → …
Project: Research
Student theses
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The integration of battery energy storage systems in modern distribution networks
Mohamed, A. A. R. (Author), Best, R. (Supervisor), Liu, X. (Supervisor) & Morrow, D. J. (Supervisor), Jul 2022Student thesis: Doctoral Thesis › Doctor of Philosophy
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