Open AccessDistributed battery energy storage systems operation framework for grid power levelling in the distribution networks
Author(s) -
Raouf Mohamed Ahmed A.,
Morrow D. John,
Best Robert J.,
Cupples Andrew,
Bailie Ian,
Pollock Jonathan
Publication year - 2021
Publication title -
iet smart grid
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.612
H-Index - 11
ISSN - 2515-2947
DOI - 10.1049/stg2.12040
Subject(s) - levelling , software deployment , grid , scheduling (production processes) , computer science , revenue , reliability engineering , peaking power plant , battery (electricity) , energy storage , real time computing , operations research , power (physics) , renewable energy , distributed computing , electrical engineering , distributed generation , engineering , operations management , economics , geometry , cartography , mathematics , accounting , physics , quantum mechanics , geography , operating system
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.