Solvability of the Power Flow Problem in DC Overhead Wire Circuit

TL;DR

This paper investigates the solvability of the DC power flow problem in overhead wire circuits for electric vehicles, introducing a numerical method to determine maximal feasible power demands and analyzing real-world scenarios.

Contribution

It presents a novel numerical approach to identify maximum power demands ensuring solution existence in DC overhead wire circuits, addressing a key limitation of traditional methods.

Findings

The proposed method effectively finds maximal feasible power demands.

Comparison shows the new approach outperforms naive methods.

Real-world simulation demonstrates practical applicability.

Abstract

Proper traffic simulation of electric vehicles, which draw energy from overhead wires, requires adequate modeling of traction infrastructure. Such vehicles include trains, trams or trolleybuses. Since the requested power demands depend on a traffic situation, the overhead wire DC electrical circuit is associated with a non-linear power flow problem. Although the Newton-Raphson method is well-known and widely accepted for seeking its solution, the existence of such a solution is not guaranteed. Particularly in situations where the vehicle power demands are too high (during acceleration), the solution of the studied problem may not exist. To deal with such cases, we introduce a numerical method which seeks maximal suppliable power demands for which the solution exists. This corresponds to introducing a scaling parameter to reduce the demanded power. The interpretation of the scaling parameter is the amount of energy which is absent in the system, and which needs to be provided by external sources such as on-board batteries. We propose an efficient two-stage algorithm to find the optimal scaling parameter and the resulting potentials in the overhead wire network. We perform a comparison with a naive approach and present a real-world simulation of part of the Pilsen city in the Czech Republic. These simulations are performed in the traffic micro-simulator SUMO, a popular open-source traffic simulation platform.