Identification and application of data-driven superheated steam temperature system
Superheated steam temperature is one of the important parameters of thermal power plants, and its non-linearity and large inertia pose major challenges for modeling. This article is based on data-driven concepts and focuses on field data. Fading memory recursive least square algorithm was used to es...
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| Vydané v: | Chinese Control and Decision Conference s. 1696 - 1701 |
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01.08.2020
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| ISSN: | 1948-9447 |
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| Abstract | Superheated steam temperature is one of the important parameters of thermal power plants, and its non-linearity and large inertia pose major challenges for modeling. This article is based on data-driven concepts and focuses on field data. Fading memory recursive least square algorithm was used to establish a desuperheater model and a superheater model based on the input and output data of the superheated steam temperature control system. In addition, three evaluation indexes are introduced to compare performance with traditional identification methods. This paper uses a multi-stage superheater simulation platform and based on the actual operating data of a power plant for verification and investigation. Practice has shown that the model identified in this paper has better accuracy. |
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| AbstractList | Superheated steam temperature is one of the important parameters of thermal power plants, and its non-linearity and large inertia pose major challenges for modeling. This article is based on data-driven concepts and focuses on field data. Fading memory recursive least square algorithm was used to establish a desuperheater model and a superheater model based on the input and output data of the superheated steam temperature control system. In addition, three evaluation indexes are introduced to compare performance with traditional identification methods. This paper uses a multi-stage superheater simulation platform and based on the actual operating data of a power plant for verification and investigation. Practice has shown that the model identified in this paper has better accuracy. |
| Author | Wang, Yinsong Weng, Jiang Sun, Tianshu |
| Author_xml | – sequence: 1 givenname: Jiang surname: Weng fullname: Weng, Jiang organization: Fujian Huadian Electric Power Engineering Co., Ltd.,Fujian,China,350013 – sequence: 2 givenname: Yinsong surname: Wang fullname: Wang, Yinsong organization: North China Electric Power University,Department of Automation,Baoding,China,071000 – sequence: 3 givenname: Tianshu surname: Sun fullname: Sun, Tianshu organization: North China Electric Power University,Department of Automation,Baoding,China,071000 |
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| Snippet | Superheated steam temperature is one of the important parameters of thermal power plants, and its non-linearity and large inertia pose major challenges for... |
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| SubjectTerms | Analytical models Data models Data-driven Fading channels Fading memory recursive least square Indexes Mathematical model Model identification Power generation Superheated steam temperature system Temperature control |
| Title | Identification and application of data-driven superheated steam temperature system |
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