Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity
Battery energy storage (BES) can provide many grid services, such as power flow management to reduce distribution grid overloading. It is desirable to minimise BES storage capacities to reduce investment costs. However, it is not always clear how battery sizing is affected by battery siting and powe...
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Format: | Article |
Language: | English |
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MDPI AG
2023-11-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/22/7639 |
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author | Christian van Someren Martien Visser Han Slootweg |
author_facet | Christian van Someren Martien Visser Han Slootweg |
author_sort | Christian van Someren |
collection | DOAJ |
description | Battery energy storage (BES) can provide many grid services, such as power flow management to reduce distribution grid overloading. It is desirable to minimise BES storage capacities to reduce investment costs. However, it is not always clear how battery sizing is affected by battery siting and power flow simultaneity (PFS). This paper describes a method to compare the battery capacity required to provide grid services for different battery siting configurations and variable PFSs. The method was implemented by modelling a standard test grid with artificial power flow patterns and different battery siting configurations. The storage capacity of each configuration was minimised to determine how these variables affect the minimum storage capacity required to maintain power flows below a given threshold. In this case, a battery located at the transformer required 10–20% more capacity than a battery located centrally on the grid, or several batteries distributed throughout the grid, depending on PFS. The differences in capacity requirements were largely attributed to the ability of a BES configuration to mitigate network losses. The method presented in this paper can be used to compare BES capacity requirements for different battery siting configurations, power flow patterns, grid services, and grid characteristics. |
first_indexed | 2024-03-09T16:52:18Z |
format | Article |
id | doaj.art-e78f575f505d4784b1022968151263e4 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-09T16:52:18Z |
publishDate | 2023-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-e78f575f505d4784b1022968151263e42023-11-24T14:40:37ZengMDPI AGEnergies1996-10732023-11-011622763910.3390/en16227639Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow SimultaneityChristian van Someren0Martien Visser1Han Slootweg2Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The NetherlandsEnTranCe: Centre of Expertise Energy, Hanze University of Applied Sciences, Zernikeplein 17, 9747 AA Groningen, The NetherlandsDepartment of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The NetherlandsBattery energy storage (BES) can provide many grid services, such as power flow management to reduce distribution grid overloading. It is desirable to minimise BES storage capacities to reduce investment costs. However, it is not always clear how battery sizing is affected by battery siting and power flow simultaneity (PFS). This paper describes a method to compare the battery capacity required to provide grid services for different battery siting configurations and variable PFSs. The method was implemented by modelling a standard test grid with artificial power flow patterns and different battery siting configurations. The storage capacity of each configuration was minimised to determine how these variables affect the minimum storage capacity required to maintain power flows below a given threshold. In this case, a battery located at the transformer required 10–20% more capacity than a battery located centrally on the grid, or several batteries distributed throughout the grid, depending on PFS. The differences in capacity requirements were largely attributed to the ability of a BES configuration to mitigate network losses. The method presented in this paper can be used to compare BES capacity requirements for different battery siting configurations, power flow patterns, grid services, and grid characteristics.https://www.mdpi.com/1996-1073/16/22/7639battery energy storagebattery sitingbattery sizingdistribution gridsmodellingpower flow management |
spellingShingle | Christian van Someren Martien Visser Han Slootweg Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity Energies battery energy storage battery siting battery sizing distribution grids modelling power flow management |
title | Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity |
title_full | Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity |
title_fullStr | Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity |
title_full_unstemmed | Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity |
title_short | Sizing Batteries for Power Flow Management in Distribution Grids: A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity |
title_sort | sizing batteries for power flow management in distribution grids a method to compare battery capacities for different siting configurations and variable power flow simultaneity |
topic | battery energy storage battery siting battery sizing distribution grids modelling power flow management |
url | https://www.mdpi.com/1996-1073/16/22/7639 |
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