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

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 ancillar...

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Autores principales:	Ahmed A. Raouf Mohamed, D. John Morrow, Robert J. Best, Andrew Cupples, Ian Bailie, Jonathan Pollock
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/078e09708ea14edc9c6b34bbc9883ccd
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spelling	oai:doaj.org-article:078e09708ea14edc9c6b34bbc9883ccd2021-11-13T03:16:47ZDistributed battery energy storage systems operation framework for grid power levelling in the distribution networks2515-294710.1049/stg2.12040https://doaj.org/article/078e09708ea14edc9c6b34bbc9883ccd2021-12-01T00:00:00Zhttps://doi.org/10.1049/stg2.12040https://doaj.org/toc/2515-2947Abstract 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.Ahmed A. Raouf MohamedD. John MorrowRobert J. BestAndrew CupplesIan BailieJonathan PollockWileyarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIET Smart Grid, Vol 4, Iss 6, Pp 582-598 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Electrical engineering. Electronics. Nuclear engineering TK1-9971 Ahmed A. Raouf Mohamed D. John Morrow Robert J. Best Andrew Cupples Ian Bailie Jonathan Pollock Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks
description	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.
format	article
author	Ahmed A. Raouf Mohamed D. John Morrow Robert J. Best Andrew Cupples Ian Bailie Jonathan Pollock
author_facet	Ahmed A. Raouf Mohamed D. John Morrow Robert J. Best Andrew Cupples Ian Bailie Jonathan Pollock
author_sort	Ahmed A. Raouf Mohamed
title	Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks
title_short	Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks
title_full	Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks
title_fullStr	Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks
title_full_unstemmed	Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks
title_sort	distributed battery energy storage systems operation framework for grid power levelling in the distribution networks
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/078e09708ea14edc9c6b34bbc9883ccd
work_keys_str_mv	AT ahmedaraoufmohamed distributedbatteryenergystoragesystemsoperationframeworkforgridpowerlevellinginthedistributionnetworks AT djohnmorrow distributedbatteryenergystoragesystemsoperationframeworkforgridpowerlevellinginthedistributionnetworks AT robertjbest distributedbatteryenergystoragesystemsoperationframeworkforgridpowerlevellinginthedistributionnetworks AT andrewcupples distributedbatteryenergystoragesystemsoperationframeworkforgridpowerlevellinginthedistributionnetworks AT ianbailie distributedbatteryenergystoragesystemsoperationframeworkforgridpowerlevellinginthedistributionnetworks AT jonathanpollock distributedbatteryenergystoragesystemsoperationframeworkforgridpowerlevellinginthedistributionnetworks
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Distributed battery energy storage systems operation framework for grid power levelling in the distribution networks

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