Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant

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. Fir...

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Main Authors: Liang Tian, Xinping Liu, Huanhuan Luo, Tuoyu Deng, Jizhen Liu, Guiping Zhou, Tianting Zhang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/12/3474
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author Liang Tian
Xinping Liu
Huanhuan Luo
Tuoyu Deng
Jizhen Liu
Guiping Zhou
Tianting Zhang
author_facet Liang Tian
Xinping Liu
Huanhuan Luo
Tuoyu Deng
Jizhen Liu
Guiping Zhou
Tianting Zhang
author_sort Liang Tian
collection DOAJ
description 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.
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spelling doaj.art-3cdb8cb3f3d94ceca389d87bff0328d52023-11-21T23:49:15ZengMDPI AGEnergies1996-10732021-06-011412347410.3390/en14123474Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP PlantLiang Tian0Xinping Liu1Huanhuan Luo2Tuoyu Deng3Jizhen Liu4Guiping Zhou5Tianting Zhang6School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, ChinaState Grid Liaoning Electric Power Company Limited, Shenyang 110006, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, ChinaSchool of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, ChinaElectric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, ChinaSchool of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, ChinaHeating 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.https://www.mdpi.com/1996-1073/14/12/3474heating extraction steam flow ratesoft sensorcombined heat and power plantinformation fusionFlügel formulaheat balance characteristic of turbine
spellingShingle Liang Tian
Xinping Liu
Huanhuan Luo
Tuoyu Deng
Jizhen Liu
Guiping Zhou
Tianting Zhang
Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant
Energies
heating extraction steam flow rate
soft sensor
combined heat and power plant
information fusion
Flügel formula
heat balance characteristic of turbine
title Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant
title_full Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant
title_fullStr Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant
title_full_unstemmed Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant
title_short Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant
title_sort soft sensor of heating extraction steam flow rate based on frequency complementary information fusion for chp plant
topic heating extraction steam flow rate
soft sensor
combined heat and power plant
information fusion
Flügel formula
heat balance characteristic of turbine
url https://www.mdpi.com/1996-1073/14/12/3474
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