(PDF) Optimal PV‐storage capacity planning for rail transit self
The simulation results verify the effectiveness of the proposed optimal PV‐storage capacity planning for rail transit self‐consistent energy systems.
The PV system provided power to the railway system from 5 a.m. to 7 p.m. The railway PV systems were able to cover BS-HSR's electricity demand before 6 p.m. The local railway PV generation satisfied 93.4% of the electricity demand in Jiangsu without the assistance of energy storage devices.
For railway PV systems, the total generation on the day was 12,051 MWh, which is approximately 24 times higher than the consumption. The PV system provided power to the railway system from 5 a.m. to 7 p.m. The railway PV systems were able to cover BS-HSR's electricity demand before 6 p.m.
The lowest daily PV generation is 1334 MWh, which still covers 60% of the electricity consumption. These results indicate the high potential of the railway PV system to supply power to the HSR and show that the railway system is not highly reliant on the storage system, which undoubtedly cuts the system costs.
Same as the situation in Jiangsu, the railway PV system in Shandong can supply electricity to bullet trains during the daytime; after 6 p.m., the railway system needs to import electricity either from storage systems or the utility power grid. Fig. 8.
The simulation results verify the effectiveness of the proposed optimal PV‐storage capacity planning for rail transit self‐consistent energy systems.
The PV system provided power to the railway system from 5 a.m. to 7 p.m. The railway PV systems were able to cover BS-HSR"s electricity demand before 6 p.m. The local railway PV generation
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