Improving power supply design for high speed lines and 2 × 25 systems using a genetic algorithm

High-Speed 2 × 25 kV Traction System Model and Solver for Extensive Network Simulations

“…Each profile represents a single run of a train on a specific track which may consist of multiple of sections. A similar approach can be found in [14], [30], [29], [35], [31], [22], [33], [16], [34].…”

“…This lumped parameter circuit or a small variation of it, is used for most of the researchers that develop power flow algorithms for these kind of systems. There are many researchers that also neglect the mutual impedances [23], [24], [25], [26], [14], [27], [28], [16], [5], [29], [30] simplifying the system to the limit removing the off diagonal terms of admittance matrix. The system is much lighter from the computational point of view, but the accuracy of the calculation is lower since the effect of the inductive couplings is not negligible.…”

Small-Scale Battery Energy Storage System for Testing Algorithms Aimed at Peak Power Reduction

“…The article [12] presents the concept of implementing a hybrid energy storage system (HESS) to reduce the demand for 15 min peak power, while [13] presents the control strategy for this system. A further effect of such a development is the reduction of fixed operating costs [14][15][16]. A very important aspect related to the implementation of BESS is optimal sizing and location [17][18][19][20][21] and control strategy [22].…”

A review of railway feeding infrastructures: Mathematical models for planning and operation

“…One of the most common applications is the optimal allocation of resources. Examples in [95] and [96] present an optimisation problem combining multi-train simulation called HAMLET railway simulator with genetic algorithms to determine the best positions for the substations, neutral zones, autotransformers, etc. The authors consider environmental factors, prohibited zones or accessibility for maintenance.…”