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

Author

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  • Liang Tian

    (School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China)

  • Xinping Liu

    (School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China)

  • Huanhuan Luo

    (State Grid Liaoning Electric Power Company Limited, Shenyang 110006, China)

  • Tuoyu Deng

    (School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China)

  • Jizhen Liu

    (School of Control and Computer Engineering, North China Electric Power University, Yonghua North Street, No.619, Baoding 071003, China)

  • Guiping Zhou

    (Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China)

  • Tianting Zhang

    (School of Electric and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

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.

Suggested Citation

  • Liang Tian & Xinping Liu & Huanhuan Luo & Tuoyu Deng & Jizhen Liu & Guiping Zhou & Tianting Zhang, 2021. "Soft Sensor of Heating Extraction Steam Flow Rate Based on Frequency Complementary Information Fusion for CHP Plant," Energies, MDPI, vol. 14(12), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:12:p:3474-:d:573690
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    References listed on IDEAS

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    1. Kortela, J. & Jämsä-Jounela, S.-L., 2014. "Model predictive control utilizing fuel and moisture soft-sensors for the BioPower 5 combined heat and power (CHP) plant," Applied Energy, Elsevier, vol. 131(C), pages 189-200.
    2. Trojan, Marcin & Taler, Dawid & Dzierwa, Piotr & Taler, Jan & Kaczmarski, Karol & Wrona, Jan, 2019. "The use of pressure hot water storage tanks to improve the energy flexibility of the steam power unit," Energy, Elsevier, vol. 173(C), pages 926-936.
    3. Liang Tian & Yunlei Xie & Bo Hu & Xinping Liu & Tuoyu Deng & Huanhuan Luo & Fengqiang Li, 2019. "A Deep Peak Regulation Auxiliary Service Bidding Strategy for CHP Units Based on a Risk-Averse Model and District Heating Network Energy Storage," Energies, MDPI, vol. 12(17), pages 1-27, August.
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