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Neural network approach for predicting drum pressure and level in coal-fired subcritical power plant

机译：神经网络方法预测燃煤次临界电站汽包压力和液位

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摘要

There is increasing need for tighter controls of coal-fired plants due to more stringent regulations and addition of more renewable sources in the electricity grid. Achieving this will require better process knowledge which can be facilitated through the use of plant models. Drum-boilers, a key component of coal-fired subcritical power plants, have complicated characteristics and require highly complex routines for the dynamic characteristics to be accurately modelled. Development of such routines is laborious and due to computational requirements they are often unfit for control purposes. On the other hand, simpler lumped and semi empirical models may not represent the process well. As a result, data-driven approach based on neural networks is chosen in this study. Models derived with this approach incorporate all the complex underlying physics and performs very well so long as it is used within the range of conditions on which it was developed. The model can be used for studying plant dynamics and design of controllers. Dynamic model of the drum-boiler was developed in this study using NARX neural networks. The model predictions showed good agreement with actual outputs of the drum-boiler (drum pressure and water level). (C) 2015 Elsevier Ltd. All rights reserved.
机译：由于更严格的法规以及电网中增加了更多可再生资源，因此越来越需要严格控制燃煤电厂。为此，将需要更好的过程知识，可通过使用工厂模型来促进这些知识。鼓式锅炉是燃煤亚临界发电厂的关键组件，具有复杂的特性，并且需要非常复杂的例程才能对动态特性进行精确建模。这种例程的开发很费力，并且由于计算要求，它们通常不适合控制目的。另一方面，更简单的集总模型和半经验模型可能无法很好地代表过程。因此，本研究选择了基于神经网络的数据驱动方法。通过这种方法得出的模型包含了所有复杂的基础物理，并且只要在其开发的条件范围内使用，其性能就会非常好。该模型可用于研究工厂动态和控制器设计。本研究使用NARX神经网络开发了鼓式锅炉的动态模型。该模型预测表明与鼓式锅炉的实际输出（鼓压力和水位）吻合良好。 （C）2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Fuel》 |2015年第1期|139-145|共7页
  • 作者

    Oko Eni; Wang Meihong; Zhang Jie;

  • 作者单位

    Univ Hull, Proc & Energy Syst Engn Grp, Sch Engn, Kingston Upon Hull HU6 7RX, N Humberside, England;

    Univ Hull, Proc & Energy Syst Engn Grp, Sch Engn, Kingston Upon Hull HU6 7RX, N Humberside, England;

    Newcastle Univ, Sch Chem Engn & Adv Mat, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    NARX neural networks; Subcritical coal-fired power plant; Drum-boiler; gPROMS modelling and simulation;

    机译：NARX神经网络;亚临界燃煤电厂;鼓式锅炉;gPROMS建模与仿真;

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