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Fault-Tolerant Control for a Flexible Group Battery Energy Storage System Based on Cascaded Multilevel Converters

Author

Listed:
  • Junhong Song

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Weige Zhang

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Hui Liang

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Jiuchun Jiang

    (National Active Distribution Network Technology Research Center (NANTEC), Beijing Jiaotong University, Beijing 100044, China
    Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Jiaotong University, Beijing 100044, China)

  • Wensong Yu

    (FREEDM System Center, North Carolina State University, Raleigh, NC 27606, USA)

Abstract

A flexible group battery energy storage system (FGBESS) based on cascaded multilevel converters is attractive for renewable power generation applications because of its high modularity and high power quality. However, reliability is one of the most important issues and the system may suffer from great financial loss after fault occurs. In this paper, based on conventional fundamental phase shift compensation and third harmonic injection, a hybrid compensation fault-tolerant method is proposed to improve the post-fault performance in the FGBESS. By adjusting initial phase offset and amplitude of injected component, the optimal third harmonic injection is generated in an asymmetric system under each faulty operation. Meanwhile, the optimal redundancy solution under each fault condition is also elaborated comprehensively with a comparison of the presented three fault-tolerant strategies. This takes full advantage of battery utilization and minimizes the loss of energy capacity. Finally, the effectiveness and feasibility of the proposed methods are verified by results obtained from simulations and a 10 kW experimental platform.

Suggested Citation

  • Junhong Song & Weige Zhang & Hui Liang & Jiuchun Jiang & Wensong Yu, 2018. "Fault-Tolerant Control for a Flexible Group Battery Energy Storage System Based on Cascaded Multilevel Converters," Energies, MDPI, vol. 11(1), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:171-:d:126444
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    References listed on IDEAS

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    1. Prabaharan, Natarajan & Palanisamy, Kaliannan, 2017. "A comprehensive review on reduced switch multilevel inverter topologies, modulation techniques and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1248-1282.
    2. Weiping Diao & Jiuchun Jiang & Hui Liang & Caiping Zhang & Yan Jiang & Leyi Wang & Biqiang Mu, 2016. "Flexible Grouping for Enhanced Energy Utilization Efficiency in Battery Energy Storage Systems," Energies, MDPI, vol. 9(7), pages 1-15, June.
    3. Chauhan, Anurag & Saini, R.P., 2014. "A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 99-120.
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    Cited by:

    1. Salah Alatai & Mohamed Salem & Ibrahim Alhamrouni & Dahaman Ishak & Ali Bughneda & Mohamad Kamarol, 2022. "Design Methodology and Analysis of Five-Level LLC Resonant Converter for Battery Chargers," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    2. Eroğlu, Fatih & Kurtoğlu, Mehmet & Eren, Ahmet & Vural, Ahmet Mete, 2023. "Multi-objective control strategy for multilevel converter based battery D-STATCOM with power quality improvement," Applied Energy, Elsevier, vol. 341(C).
    3. Yantao Liao & Jun You & Jun Yang & Zuo Wang & Long Jin, 2018. "Disturbance-Observer-Based Model Predictive Control for Battery Energy Storage System Modular Multilevel Converters," Energies, MDPI, vol. 11(9), pages 1-19, August.
    4. Hui Liang & Long Guo & Junhong Song & Yong Yang & Weige Zhang & Hongfeng Qi, 2018. "State-of-Charge Balancing Control of a Modular Multilevel Converter with an Integrated Battery Energy Storage," Energies, MDPI, vol. 11(4), pages 1-18, April.

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