TY - JOUR
T1 - A Novel Power Distribution Strategy for Battery Storage Units in a Large-scale Station to Improve System Operating Performance
AU - Han, Chenhui
AU - Wang, Jinyu
AU - Luo, Longzhou
AU - Ci, Song
AU - Zhou, Yanglin
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2024.
PY - 2024
Y1 - 2024
N2 - Large-scale battery energy storage systems have the advantages of rapid response speed and high regulation precision. Their widespread application contributes to the stable operation of power grids. Nowadays, the design of an optimal power distribution strategy for the storage units that maximizes the benefits of energy storage stations is a hot spot of research. This paper presents a comprehensive power distribution model, which is suitable for energy storage stations. The model incorporates multiple objective factors such as the output power, the depth of discharge (DOD), and the uniformity of the State of Charge (SOC). One of the advantages of the designed model is its capability to optimize the longevity of the energy storage systems by managing the SOC convergence effectively and minimizing life loss through judicious power allocation. This approach improves the reliability and efficiency of energy storage system operations. Additionally, the model integrates temperature regulation costs, further enhancing its applicability and relevance to practical scenarios.
AB - Large-scale battery energy storage systems have the advantages of rapid response speed and high regulation precision. Their widespread application contributes to the stable operation of power grids. Nowadays, the design of an optimal power distribution strategy for the storage units that maximizes the benefits of energy storage stations is a hot spot of research. This paper presents a comprehensive power distribution model, which is suitable for energy storage stations. The model incorporates multiple objective factors such as the output power, the depth of discharge (DOD), and the uniformity of the State of Charge (SOC). One of the advantages of the designed model is its capability to optimize the longevity of the energy storage systems by managing the SOC convergence effectively and minimizing life loss through judicious power allocation. This approach improves the reliability and efficiency of energy storage system operations. Additionally, the model integrates temperature regulation costs, further enhancing its applicability and relevance to practical scenarios.
KW - Energy storage inverter
KW - Energy storage station
KW - Power distribution
KW - SOC balancing
UR - https://www.scopus.com/pages/publications/85216841346
U2 - 10.1049/icp.2024.2456
DO - 10.1049/icp.2024.2456
M3 - 会议文章
AN - SCOPUS:85216841346
SN - 2732-4494
VL - 2024
SP - 1238
EP - 1244
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 6
T2 - 20th International Conference on AC and DC Power Transmission 2024, ACDC 2024
Y2 - 12 July 2024 through 15 July 2024
ER -