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Adaptive Threshold Adjustment Strategy Based on Fuzzy Logic Control for Ground Energy Storage System in Urban Rail Transit

2021/09/02 by Yuyan Liu, Zhongping Yang, Xiaobo Wu +4
Engineering · Social Sciences · #Automotive engineering #Brake #Computer science #Control (management) #Control theory (sociology) #Electrical engineering #Energy (signal processing) #Energy flow #Energy management #Energy recovery #Energy storage #Engineering #Fuzzy control system #Fuzzy logic #Power (physics) #Railway Engineering and Dynamics #Railway Systems and Energy Efficiency #Regenerative brake #Transportation Planning and Optimization #Voltage

paper · doi:10.1109/tvt.2021.3109747

openalex publication_date 2021/09/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/01

Abstract

The installation of a ground energy storage system (ESS) in the substation can improve the recovery and utilization of regenerative braking energy. This paper proposes an energy management strategy (EMS) of adaptive threshold adjustment for ground ESS. In this regard, this paper analyzes the energy flow in traction power supply system (TPSS) with different headways and no-load voltage. According to the influence of charge and discharge threshold on the energy flow in TPSS, the laws of energy flow are formulated. Subsequently, an EMS based on fuzzy logic control (FLC) is designed. The proposed EMS is adaptive to the variation of headway and no-load voltage. By monitoring the charge-discharge effect of ESS and the variation of substation output energy within two adjacent periods, the charge-discharge threshold is adjusted adaptively to guarantee the recovery effect of regenerative braking energy. Finally, the simulation and field experiment of proposed EMS are carried out with ground energy storage device and actual line conditions of Beijing Batong line. The experiment results indicate the good performance of proposed EMS in terms of energy saving.

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