Smart Electrified Traction Systems (SETS) ma: play a pivotal role towards the decarbonization of the transpor sector and the integration of renewable energy sources. For thi reason, the paper proposes an up-to-date state of the art revier of the main configurations, operational schemes and flexibl assets forming these networks. Also, the intrinsic flexibility 0 these tractions systems calls for the optimal management of th assets in order to minimize the operational costs. This pape also reviews the main formulations of customized optimal powe flow problems, which incorporate the intrinsic features of thes networks. The critical analysis focuses on the reformulation techniques or algorithms adopted to overcome non-linear an non-convex constraints, typical of optimal power flow problems.

Optimal Operation of a Smart Electrified Traction System: A Review / Botondi, S., Trovato, V., Colella, P., Pons, E., Waseem, M., Giordano, D., Signorino, D.. - ELETTRONICO. - (2025), pp. 1-6. (2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Chania, Crete, Greece 15-18 July 2025) [10.1109/eeeic/icpseurope64998.2025.11169122].

Optimal Operation of a Smart Electrified Traction System: A Review

Colella, Pietro;Pons, Enrico;Waseem, Muhammad;
2025

Abstract

Smart Electrified Traction Systems (SETS) ma: play a pivotal role towards the decarbonization of the transpor sector and the integration of renewable energy sources. For thi reason, the paper proposes an up-to-date state of the art revier of the main configurations, operational schemes and flexibl assets forming these networks. Also, the intrinsic flexibility 0 these tractions systems calls for the optimal management of th assets in order to minimize the operational costs. This pape also reviews the main formulations of customized optimal powe flow problems, which incorporate the intrinsic features of thes networks. The critical analysis focuses on the reformulation techniques or algorithms adopted to overcome non-linear an non-convex constraints, typical of optimal power flow problems.
2025
979-8-3315-9515-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3003542