LAPSE:2023.32930
Published Article
LAPSE:2023.32930
Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant
Liang Tian, Xinping Liu, Huanhuan Luo, Tuoyu Deng, Jizhen Liu, Guiping Zhou, Tianting Zhang
April 20, 2023
Heating extraction steam (HEXTR) flow rate is the key parameter to determine the heat load of a combined heat and power (CHP) plant and the safe operation area of the steam turbine of CHP plant. Due to the difficulty of direct measurement, a soft measurement method of this flow rate is proposed. First, three calculation methods based on different principles are given: the Flügel formula of the steam turbine method, the butterfly valve flow characteristics method, and the improvement of heat balance characteristic of the turbine method. Then, a soft-sensing method through frequency complementary information fusion is proposed to combine the advantages of the three methods. The specific fusion algorithm uses Flügel formula of the turbine as a static model, the heat balance characteristic of the turbine to correct the coefficient in the model, and the butterfly valve characteristic to realize dynamic compensation. Finally, the proposed soft sensor is applied in the monitoring system of a typical 330 MW CHP plant. The actual operating data shows that the relative static measurement error of the soft sensor is less than 1% and the dynamic response is as fast as power load change.
Keywords
combined heat and power plant, Flügel formula, heat balance characteristic of turbine, heating extraction steam flow rate, information fusion, soft sensor
Suggested Citation
Tian L, Liu X, Luo H, Deng T, Liu J, Zhou G, Zhang T. Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant. (2023). LAPSE:2023.32930
Author Affiliations
Tian L: School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China
Liu X: School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China
Luo H: State Grid Liaoning Electric Power Company Limited, Shenyang 110006, China
Deng T: School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China
Liu J: School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China
Zhou G: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Zhang T: School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Journal Name
Energies
Volume
14
Issue
12
First Page
3474
Year
2021
Publication Date
2021-06-11
Published Version
ISSN
1996-1073
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PII: en14123474, Publication Type: Journal Article
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LAPSE:2023.32930
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doi:10.3390/en14123474
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