TY - GEN
T1 - Determining Optimal Battery Storage along a Distribution Feeder
AU - Thakar, Sushrut
AU - Vittal, Vijay
AU - Ayyanar, Raja
AU - Palomino, Ernest
AU - Brown, Kenneth
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/11
Y1 - 2021/4/11
N2 - Battery storage is an important upcoming technology for the distribution grid. This paper examines the optimal size, allocation and schedule of battery storage for a real distribution feeder. The selected feeder is operating close to its capacity. Hence, the storage is designed with the primary goal of mitigating the overloads in the system, with minimization of power loss as the secondary goal. The size of the storage required to mitigate the overloads is determined from time series power flow analysis. For allocation and scheduling of this storage, the problem is cast as an optimization with minimum active power loss as the objective. As a validation, the obtained storage is implemented in OpenDSS time series simulation to verify that the overloads are eliminated. Further, the impacts of increasing solar photovoltaic (PV) penetration and load growth on the storage size, allocation and schedule are shown to affect the required storage significantly.
AB - Battery storage is an important upcoming technology for the distribution grid. This paper examines the optimal size, allocation and schedule of battery storage for a real distribution feeder. The selected feeder is operating close to its capacity. Hence, the storage is designed with the primary goal of mitigating the overloads in the system, with minimization of power loss as the secondary goal. The size of the storage required to mitigate the overloads is determined from time series power flow analysis. For allocation and scheduling of this storage, the problem is cast as an optimization with minimum active power loss as the objective. As a validation, the obtained storage is implemented in OpenDSS time series simulation to verify that the overloads are eliminated. Further, the impacts of increasing solar photovoltaic (PV) penetration and load growth on the storage size, allocation and schedule are shown to affect the required storage significantly.
KW - Energy storage
KW - distributed power generation
KW - high penetration PV
KW - power distribution
KW - power system planning
UR - http://www.scopus.com/inward/record.url?scp=85113395056&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85113395056&partnerID=8YFLogxK
U2 - 10.1109/NAPS50074.2021.9449736
DO - 10.1109/NAPS50074.2021.9449736
M3 - Conference contribution
AN - SCOPUS:85113395056
T3 - 2020 52nd North American Power Symposium, NAPS 2020
BT - 2020 52nd North American Power Symposium, NAPS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 52nd North American Power Symposium, NAPS 2020
Y2 - 11 April 2021 through 13 April 2021
ER -