Centralized-decentralized energy management in railway system

Khayyam, Sara; Monti, Antonello (Thesis advisor); Pilo de la Fuente, Edurado (Thesis advisor)

1. Auflage. - Aachen : E.ON Energy Research Center, RWTH Aachen University (2018, 2019)
Book, Dissertation / PhD Thesis

In: E.ON Energy Research Center ; Ausgabe : ACS, Automation of complex power systems 66
Page(s)/Article-Nr.: 1 Online-Ressource (vii, 145 Seiten) : Illustrationen, Diagramme

Dissertation, RWTH Aachen University, 2018


This dissertation develops Railway Energy Management System (REM-S) which for the first time integrates on-board, wayside and coordination services. REM-S is driven by the idea that regenerated energy, loads, storages and volatile DERs should be coordinated dynamically to achieve optimal energy usage. REM-S implements two automation architecture standpoints: centralized and decentralized. In the hybrid centralized-decentralized REM-S, the global energy management is executed in control center considering the whole railway network for the following day, the local energy management is done in local control areas during every 15 minutes. The design of the REM-S architecture is based on the representation of the railway system as a smart grid. Besides, it accommodates different time horizons: day ahead, minute ahead and real time. Two level optimization algorithms for energy management are explored in this dissertation to demonstrate REM-S architecture: centralized day-ahead and decentralized minute-ahead algorithms. The optimization is done regarding three different objectives: cost, energy consumption or power demand optimization. The validity of the algorithms and analyses the simulation results in offline and online real case studies are demonstrated in this dissertation. The contribution of this dissertation is not only defining new energy management concept in railway system and designing the REM-S architecture but also developing REM-S tool and test the tool as final step in real life.


  • E.ON Energy Research Center [080052]
  • Institute for Automation of Complex Power Systems [616310]