TY - GEN
T1 - Optimal sizing of battery energy storage systems for small modular reactor based microgrids
AU - Liu, Xuebo
AU - Ross, Molly
AU - Bindra, Hitesh
AU - Wu, Hongyu
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - Battery energy storage systems (BESS) are increasingly deployed in microgrids due to their benefits in improving system reliability and reducing operational costs. Meanwhile, advanced small modular reactors (SMRs) offer many advantages, including relatively small physical footprints, reduced capital investment, and the ability to be sited in locations not possible for larger nuclear plants. In this paper, we propose a bi-level operational planning model that enables microgrid planners to determine the optimal BESS size and technology while taking into account the optimal long-term (a yearly simulation with a 15-min resolution) operations of a microgrid with SMRs and wind turbines. Case studies are performed using realistic BESS and grid data for two BESS technologies, i.e., Li-Ion battery and compressed air energy storage. Numerical results show the effectiveness of the proposed bi-level model. The pros and cons of the two BESS technologies are also revealed.
AB - Battery energy storage systems (BESS) are increasingly deployed in microgrids due to their benefits in improving system reliability and reducing operational costs. Meanwhile, advanced small modular reactors (SMRs) offer many advantages, including relatively small physical footprints, reduced capital investment, and the ability to be sited in locations not possible for larger nuclear plants. In this paper, we propose a bi-level operational planning model that enables microgrid planners to determine the optimal BESS size and technology while taking into account the optimal long-term (a yearly simulation with a 15-min resolution) operations of a microgrid with SMRs and wind turbines. Case studies are performed using realistic BESS and grid data for two BESS technologies, i.e., Li-Ion battery and compressed air energy storage. Numerical results show the effectiveness of the proposed bi-level model. The pros and cons of the two BESS technologies are also revealed.
UR - http://www.scopus.com/inward/record.url?scp=85116153622&partnerID=8YFLogxK
U2 - 10.1109/KPEC51835.2021.9446203
DO - 10.1109/KPEC51835.2021.9446203
M3 - Conference contribution
AN - SCOPUS:85116153622
T3 - 2021 IEEE Kansas Power and Energy Conference, KPEC 2021
BT - 2021 IEEE Kansas Power and Energy Conference, KPEC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd Annual IEEE Kansas Power and Energy Conference, KPEC 2021
Y2 - 19 April 2021 through 20 April 2021
ER -