TY - JOUR
T1 - Sizing Batteries for Power Flow Management in Distribution Grids
T2 - A Method to Compare Battery Capacities for Different Siting Configurations and Variable Power Flow Simultaneity
AU - van Someren, Christian
AU - Visser, Martien
AU - Slootweg, Han
PY - 2023/11/17
Y1 - 2023/11/17
N2 - 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.
AB - 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.
KW - batterij-energieopslag
KW - plaatsing van batterijen
KW - batterij-afmetingen
KW - distributienetwerken
KW - modellering
KW - gelijktijdigheid van krachtstromen
KW - beheer van krachtstromen
KW - battery energy storage
KW - battery siting
KW - battery sizing
KW - distribution grids
KW - modelling
KW - power flow simultaneity
KW - power flow management
UR - https://doi.org/10.3390/en16227639
M3 - Article
SN - 1996-1073
VL - 16
JO - Energies
JF - Energies
IS - 22
ER -