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Energies 2018, 11(3), 501;

Reduction of Electricity Prices Using the Train to Grid (T2G) System in Urban Railway

Korea Testing Laboratory, Seoul 100744, Korea
Korea Railroad Research Institute, Uiwang 160161, Korea
College of Information and Communication Engineering, Sungkyunkwan University; Seoul 100744, Korea
The research reported in this study was conducted while Hyo-Sang Go was affiliated with Korea Railroad Research Institute.
Author to whom correspondence should be addressed.
Received: 8 December 2017 / Revised: 19 January 2018 / Accepted: 9 February 2018 / Published: 27 February 2018
(This article belongs to the Special Issue Energy Management in Vehicle–Grid–Traffic Nexus)
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Smart transportation technologies are being rapidly developed for enhancing the smart grid establishment. Such technologies are mostly focused on electric vehicles. However, the electric railroad has advantages in various aspects such as facility construction and utilization over an electric vehicle. Therefore, in this paper, we introduce the train-to-grid system using the electric railroads for the smart grid, and propose a reduction method for the electricity prices. The proposed method obtains actual data from the currently operating railroad systems. Furthermore, the number of trains for charging and discharging batteries is decided by using the time-of-use price and the number of railroad operations. The electricity prices are then determined by the energy consumption calculated using the number of trains used for charging and discharging and the capacity of the energy storage system in the trains. The proposed method is simulated using real data, and its superiority is verified by comparing its electric prices with the conventional electricity prices. View Full-Text
Keywords: electricity prices; energy storage system; train to grid (T2G) electricity prices; energy storage system; train to grid (T2G)

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Go, H.-S.; Cho, I.-H.; Kim, G.-D.; Kim, C.-H. Reduction of Electricity Prices Using the Train to Grid (T2G) System in Urban Railway. Energies 2018, 11, 501.

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