Development of a Novel Charging Algorithm for On-board ESS in DC Train through Weight Modification

Abstract

-Owing to the reduction in the peak power of a DC railway subsystem, many studies on energy storage system (ESS) applications have received attention. Each application focuses on improving the efficiency and addressing regulation issues by utilizing the huge regenerative energy generated by braking-phase vehicles. The ESS applications are widely divided into installation on a vehicle or in a substation, depending on the target system characteristics. As the main purpose of the ESS application is to reduce the peak power of starting-phase vehicles, an optimized ESS utilization can be achieved by the operating at the highest peak power section. However, the weight of an entire vehicle, including those of the passengers, continuously changes during operation; thus, considering the total power consumption and the discharging point is difficult. As a contribution to the various storage device algorithms, this study deals with ESS on board vehicles and introduces an ESS operating plan for peak-power reduction by investigating the weight of a train on a real-time basis. This process is performed using a train-performance simulator, and the simulation accuracy can be increased because the weight in each phase can be adopted in the simulation.

Optimal Capacity Estimation Method of the Energy Storage Mounted on a Wireless Railway Train for Energy-Sustainable Transportation

“…Energy storage has wide applications and effectiveness in power systems, and in particular it has much higher effectiveness in terms of handling regenerative energy in ERSs. In ERSs, it has two types of applications: stationary installation in railway substations [14][15][16] and mounted on the train [17]. The stationary application has the advantage of saving the storage capacity since the stationary storage handles the remaining regenerative energy after consumption by the other accelerating train [18].…”

Optimal energy saving in DC railway system with on-board energy storage system by using peak demand cutting strategy

“…In general, the purposes of the regenerative braking energy management with OBESS are increasing energy efficiency [7][8][9], reducing peak power of substations [10] and stabilizing network voltage [11,12]. The research presented in this paper is devoted to reducing substation peak power mainly in DC metro systems.…”

“…Therefore, the problem has been tackled by finding the suitable parameters of the number of OBESS modules and the initial SOC for optimal energy saving. Several energy-saving strategies incorporating OBESS have been presented in the literature, each of which has some difficulties, such as the rule-based strategies (RBS) [11,13], the strategy based on the SOC [14] and the control strategies based on fuzzy logic [15]. However, optimizing the starting point of OBESS discharge is difficult in realtime simulation.…”