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Integration of Photovoltaic Plants and Supercapacitors in Tramway Power Systems

Author

Listed:
  • Flavio Ciccarelli

    (University of Naples Federico II, 80125 Naples, Italy)

  • Luigi Pio Di Noia

    (Department of Electrical Engineering and Information Technologies, University of Naples Federico II, 80125 Naples, Italy)

  • Renato Rizzo

    (Department of Electrical Engineering and Information Technologies, University of Naples Federico II, 80125 Naples, Italy)

Abstract

The growing interest in the use of energy storage systems to improve the performance of tramways has prompted the development of control techniques and optimal storage devices, displacement, and sizing to obtain the maximum profit and reduce the total installation cost. Recently, the rapid diffusion of renewable energy generation from photovoltaic panels has also created a large interest in coupling renewable energy and storage units. This study analyzed the integration of a photovoltaic power plant, supercapacitor energy storage system, and railway power system. Random optimization was used to verify the feasibility of this integration in a real tramway electric system operating in the city of Naples, and the benefits and total cost of this integration were evaluated.

Suggested Citation

  • Flavio Ciccarelli & Luigi Pio Di Noia & Renato Rizzo, 2018. "Integration of Photovoltaic Plants and Supercapacitors in Tramway Power Systems," Energies, MDPI, vol. 11(2), pages 1-14, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:2:p:410-:d:131173
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    References listed on IDEAS

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    1. Luigi Piegari & Renato Rizzo & Ivan Spina & Pietro Tricoli, 2015. "Optimized Adaptive Perturb and Observe Maximum Power Point Tracking Control for Photovoltaic Generation," Energies, MDPI, vol. 8(5), pages 1-19, April.
    2. Shravanth Vasisht, M. & Vashista, G.A. & Srinivasan, J. & Ramasesha, Sheela K., 2017. "Rail coaches with rooftop solar photovoltaic systems: A feasibility study," Energy, Elsevier, vol. 118(C), pages 684-691.
    3. Aouss Gabash & Pu Li, 2016. "On Variable Reverse Power Flow-Part II: An Electricity Market Model Considering Wind Station Size and Location," Energies, MDPI, vol. 9(4), pages 1-13, March.
    4. Zhongping Yang & Zhihong Yang & Huan Xia & Fei Lin & Feiqin Zhu, 2017. "Supercapacitor State Based Control and Optimization for Multiple Energy Storage Devices Considering Current Balance in Urban Rail Transit," Energies, MDPI, vol. 10(4), pages 1-19, April.
    5. Fei Lin & Xuyang Li & Yajie Zhao & Zhongping Yang, 2016. "Control Strategies with Dynamic Threshold Adjustment for Supercapacitor Energy Storage System Considering the Train and Substation Characteristics in Urban Rail Transit," Energies, MDPI, vol. 9(4), pages 1-18, March.
    6. Renato Rizzo & Pietro Tricoli & Ivan Spina, 2012. "An Innovative Reconfigurable Integrated Converter Topology Suitable for Distributed Generation," Energies, MDPI, vol. 5(9), pages 1-15, September.
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    Cited by:

    1. Stefano Menicanti & Marco di Benedetto & Davide Marinelli & Fabio Crescimbini, 2022. "Recovery of Trains’ Braking Energy in a Railway Micro-Grid Devoted to Train plus Electric Vehicle Integrated Mobility," Energies, MDPI, vol. 15(4), pages 1-25, February.
    2. Henry Miniguano & Andrés Barrado & Cristina Fernández & Pablo Zumel & Antonio Lázaro, 2019. "A General Parameter Identification Procedure Used for the Comparative Study of Supercapacitors Models," Energies, MDPI, vol. 12(9), pages 1-20, May.
    3. Shen, Xiaojun & Wei, Hongyang & Wei, Li, 2020. "Study of trackside photovoltaic power integration into the traction power system of suburban elevated urban rail transit line," Applied Energy, Elsevier, vol. 260(C).
    4. Włodzimierz Jefimowski & Zbigniew Drążek, 2022. "Distributed Module-Based Power Supply Enhancement System for 3 kV DC Traction," Energies, MDPI, vol. 16(1), pages 1-15, December.
    5. Gang Zhang & Zhongbei Tian & Huiqing Du & Zhigang Liu, 2018. "A Novel Hybrid DC Traction Power Supply System Integrating PV and Reversible Converters," Energies, MDPI, vol. 11(7), pages 1-24, June.

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