Title :
Battery-Based Energy Storage Transportation for Enhancing Power System Economics and Security
Author :
Yingyun Sun ; Zuyi Li ; Shahidehpour, Mohammad ; Bo Ai
Author_Institution :
State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
Abstract :
This paper evaluates the effect of integrating battery-based energy storage transportation (BEST) by railway transportation network on power grid operation and control. A time-space network model is adopted to represent transportation constraints. The proposed model integrates the hourly security-constrained unit commitment with vehicle routing problem. The BEST solution provides the locational and hourly charging/discharging schedule of the battery storage system. The mobility of BEST will be of particular interest for enhancing the power system resilience in disaster areas where the transmission grid is congested or on outrage. Two cases are used to simulate the BEST including a six-bus power system linking with a three-station railway system, as well as the IEEE 118-bus systems linking with an eight-station railway system. The results show that under certain conditions, the mobility of battery storage system can economically relieve the transmission congestion and lower the operation costs.
Keywords :
battery storage plants; power generation scheduling; power system economics; power system security; railway engineering; vehicle routing; BEST; battery storage system; battery-based energy storage transportation; hourly charging-discharging schedule; hourly security-constrained unit commitment; power grid control; power grid operation; power system economics; power system security; railway transportation network; time-space network model; transmission grid; vehicle routing problem; Batteries; Mathematical model; Power grids; Rail transportation; Renewable energy sources; Battery-based energy storage transportation (BEST); mixed-integer programming (MIP); security-constraint unit commitment (SCUC); time-space network (TSN);
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2015.2390211