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Quantification and forecasting of reserve capacity from electric trains

  • Agnes Nakiganda*
  • , Martin Lindahl
  • , Callum Henderson
  • , Agustí Egea-Àlvarez
  • , Lars Herre*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

This paper explores the quantification and forecasting of reserve capacity from electric trains for participation in power system ancillary service markets. We first map train electricity consumption—traction and non-traction—to suitable reserve products, considering operational and regulatory constraints. Using historical data from the Danish railway operator DSB, we estimate the available flexibility for frequency containment reserves, focusing on controllable non-traction loads such as heating and air conditioning. To support market participation, we develop a low-resolution stochastic forecasting model based on conformal prediction, capable of estimating reserve availability for both day-ahead and hour-ahead horizons. Results show that a fleet of approximately 60 active trains can provide up to 10MW of downward regulation and 1.5MW of upward regulation from non-traction loads. Additionally, traction power from 25 trains can provide up to 5MW of upward reserve in certain time periods. The findings demonstrate a viable pathway for integrating electric trains into flexibility markets, offering new revenue opportunities for operators and enhancing grid stability.
Original languageEnglish
Article number100524
JournaleTransportation
Volume27
Early online date8 Dec 2025
DOIs
Publication statusPublished - Jan 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • ancillary services
  • balancing reserves
  • railway electrification
  • demand response
  • sector coupling

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