Parallel-Execute-Based Real-time Energy Management Strategy for FTPSS integrated PV and ESS

Junhao Li, Qi Guo, Xin Wang, Chunming Tu, Fan Xiao, Yuchao Hou and Xia Shen

Applied Energy, 2025, vol. 385, issue C, No S0306261925002685

Abstract: Constructing a flexible traction power supply system (FTPSS) integrating railway power conditioner (RPC), energy storage system (ESS), and photovoltaic (PV) is essential to realize low-carbon and economical railway transportation. However, the existing rule-based energy management strategies (EMS) only focus on RPC and ESS, whose applicability and economy are limited for FTPSS accessed PV. In addition, the operational optimization model of FTPSS is complex and data-intensive, resulting in the existing optimization EMS being mostly poor at reliability and timeliness. To this end, a parallel-execute-based real-time EMS for FTPSS integrated ESS and PV is proposed. First, the real-time collaborative management of PV, ESS, and RPC is realized with the improved rule-based EMS. Then, considering the operation cost and the three-phase voltage unbalance rate (TVUR), the multi-objective optimization model of FTPSS is built. Further, a coordination mechanism between the rule-based and optimization EMS is proposed. By executing the rule-based and optimization EMS in parallel and switching their reference commands within the real-time management time threshold, the EMS's reliability, timeliness, and economy performance can be improved simultaneously. Finally, the proposed EMS is verified based on the measured data from a traction station.

Keywords: Flexible traction power supply system; Energy management strategy; Real-time; Rule-based; Multi-objective optimization (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.apenergy.2025.125538

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