Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications

This article presents a real-time active damping methodology for front-end inverters connected to the railway catenary in energy recovery applications. The system arrangement comprises a three-phase 2.5 MW inverter connected to the ac grid with a suitable filter. On the opposite side it shares the d...

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Main Authors: Giovanni Marini, Alessandro Lidozzi, Marco di Benedetto, M. Moranchel Perez, Luca Solero
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10531037/
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author Giovanni Marini
Alessandro Lidozzi
Marco di Benedetto
M. Moranchel Perez
Luca Solero
author_facet Giovanni Marini
Alessandro Lidozzi
Marco di Benedetto
M. Moranchel Perez
Luca Solero
author_sort Giovanni Marini
collection DOAJ
description This article presents a real-time active damping methodology for front-end inverters connected to the railway catenary in energy recovery applications. The system arrangement comprises a three-phase 2.5 MW inverter connected to the ac grid with a suitable filter. On the opposite side it shares the dc-side with the railway plant where traction inverters and auxiliary systems are connected. The proposed method tries to solve a problem when the energy recovery converter, operating with an almost constant power load, stimulates the catenary power line. This method estimates the dc-side resonant frequency, isolates the dc voltage oscillations around the resonant frequency, and finally attenuates the related effects by acting on the inverter current control strategy. Experimental tests are shown to validate the method using the hardware-in-the-loop real-time emulator. Thanks to the HIL, the complete catenary system has been modeled according to the real data provided by the train operator. The control algorithm and the related control board have the same structure as the architecture used in the field. The results show the effectiveness of the proposed method in detecting the resonance and reducing its effects, increasing the catenary robustness, and making the proper integration of energy recovery systems possible.
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institution Kabale University
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language English
publishDate 2024-01-01
publisher IEEE
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series IEEE Open Journal of the Industrial Electronics Society
spelling doaj-art-9baf3483e17d40fdba73e87d3e857a6f2025-01-17T00:01:20ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842024-01-01591692710.1109/OJIES.2024.340154110531037Real-Time Resonance Detection and Active Damping in Energy Recovery Railways ApplicationsGiovanni Marini0https://orcid.org/0000-0002-1371-2002Alessandro Lidozzi1https://orcid.org/0000-0002-8706-8117Marco di Benedetto2https://orcid.org/0000-0002-5914-5824M. Moranchel Perez3https://orcid.org/0000-0001-7424-6335Luca Solero4https://orcid.org/0000-0001-8390-4627Department of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Rome, ItalyDepartment of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Rome, ItalyDepartment of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Rome, ItalyCITRACC SA, Av. de Fuentemar 11 C.P, Coslada, Madrid, SpainDepartment of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Rome, ItalyThis article presents a real-time active damping methodology for front-end inverters connected to the railway catenary in energy recovery applications. The system arrangement comprises a three-phase 2.5 MW inverter connected to the ac grid with a suitable filter. On the opposite side it shares the dc-side with the railway plant where traction inverters and auxiliary systems are connected. The proposed method tries to solve a problem when the energy recovery converter, operating with an almost constant power load, stimulates the catenary power line. This method estimates the dc-side resonant frequency, isolates the dc voltage oscillations around the resonant frequency, and finally attenuates the related effects by acting on the inverter current control strategy. Experimental tests are shown to validate the method using the hardware-in-the-loop real-time emulator. Thanks to the HIL, the complete catenary system has been modeled according to the real data provided by the train operator. The control algorithm and the related control board have the same structure as the architecture used in the field. The results show the effectiveness of the proposed method in detecting the resonance and reducing its effects, increasing the catenary robustness, and making the proper integration of energy recovery systems possible.https://ieeexplore.ieee.org/document/10531037/Constant power load (CPL)damping controlenergy recoveryrailway systemsresonance estimation
spellingShingle Giovanni Marini
Alessandro Lidozzi
Marco di Benedetto
M. Moranchel Perez
Luca Solero
Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications
IEEE Open Journal of the Industrial Electronics Society
Constant power load (CPL)
damping control
energy recovery
railway systems
resonance estimation
title Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications
title_full Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications
title_fullStr Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications
title_full_unstemmed Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications
title_short Real-Time Resonance Detection and Active Damping in Energy Recovery Railways Applications
title_sort real time resonance detection and active damping in energy recovery railways applications
topic Constant power load (CPL)
damping control
energy recovery
railway systems
resonance estimation
url https://ieeexplore.ieee.org/document/10531037/
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AT alessandrolidozzi realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications
AT marcodibenedetto realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications
AT mmoranchelperez realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications
AT lucasolero realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications