TY - JOUR
T1 - Optimized sizing and scheduling of hybrid energy storage systems for high-speed railway traction substations
AU - Liu, Yuanli
AU - Chen, Minwu
AU - Lu, Shaofeng
AU - Chen, Yinyu
AU - Li, Qunzhan
N1 - Funding Information:
Funding: This research was funded by the National Natural Science Foundation of China (Grant No. 51877182) and the Science and Technology Plan Project of Sichuan Province (Grant No. 2018FZ0107). The APC was funded by the National Natural Science Foundation of China and the Science and Technology Plan Project of Sichuan Province.
Funding Information:
Funding: This research was funded by the National Natural Science Foundation of China (Grant No. 51877182) and the Science and Technology Plan Project of Sichuan Province (Grant No. 2018FZ0107). The APC was funded
Funding Information:
Acknowledgments: This research was supported by the China Railway Construction Co., Ltd. (CRCC) and the First Design and Survey Institute (FDSI) Group Co., Ltd.
Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
PY - 2018
Y1 - 2018
N2 - The integration of hybrid energy storage systems (HESS) in alternating current (AC) electrified railway systems is attracting widespread interest. However, little attention has been paid to the interaction of optimal size and daily dispatch of HESS within the entire project period. Therefore, a novel bi-level model of railway traction substation energy management (RTSEM) system is developed, which includes a slave level of diurnal HESS dispatch and a master level of HESS sizing. The slave level is formulated as a mixed integer linear programming (MILP) model by coordinating HESS, traction load, regenerative braking energy and renewable energy. As for the master level model, comprehensive cost study within the project period is conducted, with batteries degradation and replacement cost taken into account. Grey wolf optimization technique with embedded CPLEX solver is utilized to solve this RTSEM problem. The proposed model is tested with a real high-speed railway line case in China. The simulation results of several cases with different system elements are presented, and the sensitivity analyses of several parameters are also performed. The obtained results reveal that it shows significant economic-saving potentials with the integration of HESS and renewable energy.
AB - The integration of hybrid energy storage systems (HESS) in alternating current (AC) electrified railway systems is attracting widespread interest. However, little attention has been paid to the interaction of optimal size and daily dispatch of HESS within the entire project period. Therefore, a novel bi-level model of railway traction substation energy management (RTSEM) system is developed, which includes a slave level of diurnal HESS dispatch and a master level of HESS sizing. The slave level is formulated as a mixed integer linear programming (MILP) model by coordinating HESS, traction load, regenerative braking energy and renewable energy. As for the master level model, comprehensive cost study within the project period is conducted, with batteries degradation and replacement cost taken into account. Grey wolf optimization technique with embedded CPLEX solver is utilized to solve this RTSEM problem. The proposed model is tested with a real high-speed railway line case in China. The simulation results of several cases with different system elements are presented, and the sensitivity analyses of several parameters are also performed. The obtained results reveal that it shows significant economic-saving potentials with the integration of HESS and renewable energy.
KW - Battery degradation
KW - Bi-level model
KW - Hybrid energy storage systems
KW - Mixed integer linear programming
KW - Railway traction substation energy management
UR - http://www.scopus.com/inward/record.url?scp=85054089519&partnerID=8YFLogxK
U2 - 10.3390/en11092199
DO - 10.3390/en11092199
M3 - Article
AN - SCOPUS:85054089519
SN - 1996-1073
VL - 11
JO - Energies
JF - Energies
IS - 9
M1 - en11092199
ER -