Abstract

The use of supercapacitors (SCs) to store regenerative braking energy from urban rail trains is able to achieve a good energy saving effect. This paper analyzes the current balance method of stationary energy storage devices (ESDs). At the beginning of the paper, the mathematical model of the DC traction power system, which includes trains, ESDs and traction substations, is established. Next, based on this, the SC state-based control strategy (SCSCS) is proposed, which can adjust the charging voltage of the ESD according to the SC voltage and current, then the charging current of the ESD can be reasonably distributed under the voltage difference of ESDs, and the SC voltage and current stress can be reduced. In order to determine the optimal controlling parameters, the optimization model is proposed and solved by the genetic algorithm. The analysis of the case study also shows the effectiveness of the proposed control strategy and optimization algorithm. Finally, the rationality of the proposed strategy is verified by experiments.

Highlights

  • More and more urban rail transit systems are adopting energy storage devices (ESDs) to recover the regenerative braking energy, or to stabilize the traction network voltage

  • In order to verify the rationality of SC state-based control strategy (SCSCS) proposed in this paper, a low-power SC-ESD platform is built in the laboratory

  • The characteristics of the traction power supply network are analyzed through the model of an urban train transit system, which includes the ESDs

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Summary

Introduction

More and more urban rail transit systems are adopting energy storage devices (ESDs) to recover the regenerative braking energy, or to stabilize the traction network voltage. In [17,18], a control strategy considering acceleration and state of charge (SOC) of SC was proposed to reduce the impact of regenerative braking energy on the traction network voltage; this paper only considered a single ESD wherever in modeling, simulation or experiment. In [20], the proposed control strategy could predict the maximum kinetic energy of the ESD based on the traction force and acceleration of the train, but the author did not give the correlation coefficients’ calculation method of the SC voltage command. We propose the SC state-based control strategy (SCSCS) aiming at solving the current balance problem to make the charging current of the devices tend to be the same, namely the working load of the supercapacitors tend to be the same.

The Traction Power Supply System Model of Urban Rail Transit
The SC State-Based Control Strategy
Simulation Comparison
Optimization Algorithm
Case Study
Experimental Verification
Conclusions
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