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一个可逆固体氧化物细胞的经济NMPC

Sakshi S Naik1, Yufei Zhao2, Douglas Allan3,4

  • 1Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.

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概括
此摘要是机器生成的。

本研究介绍了可逆固体氧化物燃料电池 (rSOC) 的经济非线性模型预测控制 (E-NMPC). E-NMPC优化了rSOC运行,减少了燃料电池模式中的气使用,并改善了电解模式中的生产.

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科学领域:

  • 储能 储能 储能 储能 储能 储能
  • 电化学工程 电化学工程
  • 控制系统 控制系统

背景情况:

  • 可逆固体氧化物燃料电池 (rSOC) 可以在燃料电池和电解模式之间切换,提供电网灵活性.
  • 优化rSOC操作是具有挑战性的,因为复杂的,合的动态.
  • 实时电价需要先进的控制策略来实现经济可行性.

研究的目的:

  • 开发和评估一个经济非线性模型预测控制 (E-NMPC) 框架,以优化rSOC操作.
  • 评估与传统控制方法相比,E-NMPC的经济效益.
  • 调查电池存储与rSOC系统的集成,以提高操作灵活性.

主要方法:

  • 开发详细的rSOC流表模型,包括工厂资产负债表设备.
  • 将E-NMPC策略应用于rSOC模型以实现运营优化.
  • 在燃料电池和电解模式下模拟和分析E-NMPC性能.

主要成果:

  • 在燃料电池模式下,E-NMPC降低了气消耗,同时保持了电力输出.
  • 在电解模式下,E-NMPC显示气生产的边际改善.
  • 与电池系统的集成提高了电力生产和消费目标的灵活性.

结论:

  • E-NMPC提供了一种有效的策略,以优化rSOCs的经济运行.
  • 拟议的框架显示了在连接到电网的rSOC应用中提高效率和经济性能的潜力.
  • 电池集成进一步提高了rSOC系统对动态电网需求的适应性.