A Vehicle Device Tailored for Hybrid Trolleybuses and Overhead Wires Implementation in SUMO

Sevcik, Jakub; Přikryl, Jan

doi:10.29007/6pqr

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…A replacement of classic buses (with a combustion engine) with (hybrid) trolleybuses is, nonetheless, hardly possible without an appropriate adjustment and dimensioning of the necessary traction infrastructure. For this purpose, a simultaneous simulation of the power network and traffic conditions needs to be used to identify weaknesses of the proposed solution [13].…”

Section: Electrification Of Transport Belongs To One Of the Key Targe...mentioning

confidence: 99%

Solvability of the Power Flow Problem in DC Overhead Wire Circuit

Ševčík,

Adam,

Přikryl

et al. 2020

Preprint

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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.

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Section: Electrification Of Transport Belongs To One Of the Key Targe...mentioning

confidence: 99%

Solvability of the Power Flow Problem in DC Overhead Wire Circuit

Ševčík,

Adam,

Přikryl

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Solvability of the power flow problem in DC overhead wire circuit modeling

et al. 2021

View full text Add to dashboard Cite

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 in the 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.

show abstract