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Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations

Author

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  • Yuanli Liu

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Minwu Chen

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Shaofeng Lu

    (Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

  • Yinyu Chen

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Qunzhan Li

    (School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China)

Abstract

The integration of hybrid energy storage systems (HESS) in alternating current (AC) electrified railway systems is attracting widespread interest. However, little attention has been paid to the interaction of optimal size and daily dispatch of HESS within the entire project period. Therefore, a novel bi-level model of railway traction substation energy management (RTSEM) system is developed, which includes a slave level of diurnal HESS dispatch and a master level of HESS sizing. The slave level is formulated as a mixed integer linear programming (MILP) model by coordinating HESS, traction load, regenerative braking energy and renewable energy. As for the master level model, comprehensive cost study within the project period is conducted, with batteries degradation and replacement cost taken into account. Grey wolf optimization technique with embedded CPLEX solver is utilized to solve this RTSEM problem. The proposed model is tested with a real high-speed railway line case in China. The simulation results of several cases with different system elements are presented, and the sensitivity analyses of several parameters are also performed. The obtained results reveal that it shows significant economic-saving potentials with the integration of HESS and renewable energy.

Suggested Citation

  • Yuanli Liu & Minwu Chen & Shaofeng Lu & Yinyu Chen & Qunzhan Li, 2018. "Optimized Sizing and Scheduling of Hybrid Energy Storage Systems for High-Speed Railway Traction Substations," Energies, MDPI, vol. 11(9), pages 1-29, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2199-:d:165216
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    References listed on IDEAS

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    1. Pedro Roncero-Sánchez & Alfonso Parreño Torres & Javier Vázquez, 2018. "Control Scheme of a Concentration Photovoltaic Plant with a Hybrid Energy Storage System Connected to the Grid," Energies, MDPI, vol. 11(2), pages 1-30, January.
    2. Hyeongig Kim & Jae-Haeng Heo & Jong-Young Park & Yong Tae Yoon, 2017. "Impact of Battery Energy Storage System Operation Strategy on Power System: An Urban Railway Load Case under a Time-of-Use Tariff," Energies, MDPI, vol. 10(1), pages 1-15, January.
    3. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    4. Bordin, Chiara & Anuta, Harold Oghenetejiri & Crossland, Andrew & Gutierrez, Isabel Lascurain & Dent, Chris J. & Vigo, Daniele, 2017. "A linear programming approach for battery degradation analysis and optimization in offgrid power systems with solar energy integration," Renewable Energy, Elsevier, vol. 101(C), pages 417-430.
    5. Alessandro Serpi & Mario Porru & Alfonso Damiano, 2017. "An Optimal Power and Energy Management by Hybrid Energy Storage Systems in Microgrids," Energies, MDPI, vol. 10(11), pages 1-21, November.
    6. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    7. Sukumar, Shivashankar & Mokhlis, Hazlie & Mekhilef, Saad & Naidu, Kanendra & Karimi, Mazaher, 2017. "Mix-mode energy management strategy and battery sizing for economic operation of grid-tied microgrid," Energy, Elsevier, vol. 118(C), pages 1322-1333.
    8. Hui Wang & Tengxin Wang & Xiaohan Xie & Zhixiang Ling & Guoliang Gao & Xu Dong, 2018. "Optimal Capacity Configuration of a Hybrid Energy Storage System for an Isolated Microgrid Using Quantum-Behaved Particle Swarm Optimization," Energies, MDPI, vol. 11(2), pages 1-14, February.
    9. Battke, Benedikt & Schmidt, Tobias S. & Grosspietsch, David & Hoffmann, Volker H., 2013. "A review and probabilistic model of lifecycle costs of stationary batteries in multiple applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 240-250.
    10. Zhao, Bo & Zhang, Xuesong & Li, Peng & Wang, Ke & Xue, Meidong & Wang, Caisheng, 2014. "Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island," Applied Energy, Elsevier, vol. 113(C), pages 1656-1666.
    11. Fotouhi Ghazvini, Mohammad Ali & Faria, Pedro & Ramos, Sergio & Morais, Hugo & Vale, Zita, 2015. "Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market," Energy, Elsevier, vol. 82(C), pages 786-799.
    12. Fossati, Juan P. & Galarza, Ainhoa & Martín-Villate, Ander & Fontán, Luis, 2015. "A method for optimal sizing energy storage systems for microgrids," Renewable Energy, Elsevier, vol. 77(C), pages 539-549.
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    Cited by:

    1. Jura Arkhangelski & Pedro Roncero-Sánchez & Mahamadou Abdou-Tankari & Javier Vázquez & Gilles Lefebvre, 2019. "Control and Restrictions of a Hybrid Renewable Energy System Connected to the Grid: A Battery and Supercapacitor Storage Case," Energies, MDPI, vol. 12(14), pages 1-23, July.
    2. Sergio Mayrink & Janaína G. Oliveira & Bruno H. Dias & Leonardo W. Oliveira & Juan S. Ochoa & Gustavo S. Rosseti, 2020. "Regenerative Braking for Energy Recovering in Diesel-Electric Freight Trains: A Technical and Economic Evaluation," Energies, MDPI, vol. 13(4), pages 1-16, February.
    3. Ying Wang & Ya Guo & Xiaoqiang Chen & Yunpeng Zhang & Dong Jin & Jing Xie, 2023. "Research on the Energy Management Strategy of a Hybrid Energy Storage Type Railway Power Conditioner System," Energies, MDPI, vol. 16(15), pages 1-16, August.
    4. Adrián Fernández-Rodríguez & Antonio Fernández-Cardador & Asunción P. Cucala & Maria Carmen Falvo, 2019. "Energy Efficiency and Integration of Urban Electrical Transport Systems: EVs and Metro-Trains of Two Real European Lines," Energies, MDPI, vol. 12(3), pages 1-20, January.

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