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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IEEE
2024-01-01
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Series: | IEEE Open Journal of the Industrial Electronics Society |
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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. |
format | Article |
id | doaj-art-9baf3483e17d40fdba73e87d3e857a6f |
institution | Kabale University |
issn | 2644-1284 |
language | English |
publishDate | 2024-01-01 |
publisher | IEEE |
record_format | Article |
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/ |
work_keys_str_mv | AT giovannimarini realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications AT alessandrolidozzi realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications AT marcodibenedetto realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications AT mmoranchelperez realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications AT lucasolero realtimeresonancedetectionandactivedampinginenergyrecoveryrailwaysapplications |