In this paper, renewable energy resources (RERs), energy storage systems (ESSs), and regenerative braking energy (RBE) are taken into account, as well as the electrical grid.
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The structure of the proposed convex programming (CP) model is used for fast and efficient optimization of decision variables, Equipment size, and the cost function of the station for
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In order to increase the utilization rate of regenerative braking energy, reduce the operation cost and improve the power quality of traction
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The findings highlight the significant benefits of incorporating ESS, PV, and WT in reducing the operational costs of smart railway stations. Implementing REMS and utilizing RBE
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In this study, a mixed-integer linear programming model of a railway station energy management (RSEM) system is formulated by a stochastic approach, aiming to utilize the emerged regenerative
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In this study, photovoltaic (PV) panels, lithium battery storage systems, and supercapacitors are integrated to enhance the reliability and stability of standalone microgrids.
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The model serves as a robust framework for analyzing the impact of integrating PV and ESS into the railway TPSS, offering valuable insights into the potential benefits and challenges of
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This study delves into the integration of photovoltaic (PV) and energy storage systems (ESS) into AC railway traction power supply systems (TPSS) with Direct Feed (DF) and
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By adopting a stochastic approach, the total daily operational cost of a smart railway station can be significantly reduced by utilizing ESS, PV, or a combination of ESS, PV, and RBE.
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To assess the economic benefits brought by the integration of photovoltaic and energy storage systems, a bilevel optimization model is established, with the objectives of optimizing energy storage capacity
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