Abstract
The recent increase in the number of passengers has led to an increase in the operational costs of urban railway systems. In particular, peak demand is notably increasing due to the high affluence of commuters during rush hour. In addition, the expansion of the renewable energies has led to the adoption of sources such as photovoltaic (PV) power generation into the urban railway system. Similarly, energy storage systems (ESSs) have been introduced to reduce the peak demand. However, given the current high costs of ESSs, it is essential to accurately determine their capacity considering peak-demand reduction target in urban railway systems. In this paper, we propose an ESS sizing method considering PV power generation for peak-demand reduction in an urban railway system. The ESS capacity is determined using binary search and a linear programming based daily ESS scheduling. A numerical example considering data from urban railway and PV power generation systems shows the suitable performance of the proposed method.
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