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Optimization of sizing and frequency control in battery/supercapacitor hybrid energy storage system for fuel cell ship

机译:燃料电池船电池/超级电容器混合储能系统中尺寸和频率控制的优化

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摘要

The fuel cell is generally coupled with the hybrid energy storage system (HESS) to improve power system dynamic performance and prolong the fuel cell lifetime. Therefore, the sizing of HESS and design of energy management strategy (EMS) have already become key research points. Based on support vector machine and frequency control, a novel EMS is proposed. As the sizing of HESS and the design of energy management strategy have a strong inner link, a multi-objective optimization method for the HESS and EMS is proposed. After that, simulations are used to compare the performance of the optimal hybrid power system. Compared with the different hybrid power system structures, the optimal HESS can meet power demand and reduce the cost of the energy storage device. Compared with the rule-based energy management strategy, the energy consumption of the optimal hybrid power system reduces 5.4%, and improves power quality and prolongs the device life. The results indicate that the proposed method can achieve excellent performance and is easily applied.
机译:燃料电池通常与混合能储能系统(HESS)耦合,以提高电力系统动态性能并延长燃料电池寿命。因此,HESS的尺寸和能源管理战略(EMS)的设计已经成为关键研究点。基于支持向量机和频率控制,提出了一种新型EMS。随着HESS的尺寸和能量管理策略的设计具有强大的内线链路,提出了一种用于HESS和EMS的多目标优化方法。之后,模拟用于比较最佳混合动力系统的性能。与不同的混合动力系统结构相比,最佳HESS可以满足功率需求并降低能量存储装置的成本。与基于规则的能源管理策略相比,最佳混合动力系统的能耗降低了5.4%,提高了电力质量,延长了器件寿命。结果表明,该方法可以实现优异的性能并易于应用。

著录项

  • 来源
    《Energy》 |2020年第15期|117285.1-117285.14|共14页
  • 作者单位

    Key Laboratory of High Performance Ship Technology of Ministry of Education School of Energy and Power Engineering Wuhan University of Technology 1178 Heping Road Wuhan 430063 China;

    Key Laboratory of High Performance Ship Technology of Ministry of Education School of Energy and Power Engineering Wuhan University of Technology 1178 Heping Road Wuhan 430063 China College of Software Nankai University 38 Tongyan Road Tianjin 300350 China;

    Key Laboratory of High Performance Ship Technology of Ministry of Education School of Energy and Power Engineering Wuhan University of Technology 1178 Heping Road Wuhan 430063 China;

    Key Laboratory of High Performance Ship Technology of Ministry of Education School of Energy and Power Engineering Wuhan University of Technology 1178 Heping Road Wuhan 430063 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hybrid ship; Energy management strategy; Hybrid energy storage system; Whale optimization algorithm (WOA); Support vector machine (SVM);

    机译:混合船;能源管理战略;混合能量存储系统;鲸优化算法(WOA);支持向量机(SVM);

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