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Water Level Control in the Thermal Power Plant Steam Separator Based on New PID Tuning Method for Integrating Processes

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Listed:
  • Goran S. Kvascev

    (School of Electrical Engineering, University of Belgrade, 11120 Beograd, Serbia)

  • Zeljko M. Djurovic

    (School of Electrical Engineering, University of Belgrade, 11120 Beograd, Serbia)

Abstract

The paper presents an analysis of water-level control in a thermal power plant (TPP) steam separator. This control structure is vital for the entire plant’s stable, reliable, and efficient operation. This process belongs to processes with an integrator because it concerns a level-control issue, and the control variable is the feedwater flow. Said industrial processes are challenging to control and apply standard methods for tuning the PID controller, so a new procedure has been proposed. A procedure for tuning a PID controller for integrating processes is proposed based on the IFOPDT model, obtained from the wide step response of the process. Based on the process parameters estimated, the tuning of the controller is proposed. Results from the TPP TEKO-B2 (350 MW) are presented as an experimental verification. Compared with standard tuning methods, better results are achieved in the form of rise time and disturbance elimination rate. A significantly less risky and faster experiment for parameter estimation and controller tuning is also obtained. In addition, one adjustable parameter is provided to select the relation between performance and robustness. This method can be applied to various industrial processes with an integrator.

Suggested Citation

  • Goran S. Kvascev & Zeljko M. Djurovic, 2022. "Water Level Control in the Thermal Power Plant Steam Separator Based on New PID Tuning Method for Integrating Processes," Energies, MDPI, vol. 15(17), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6310-:d:901135
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    References listed on IDEAS

    as
    1. Xingshuo Li & Jinfu Liu & Jiajia Li & Xianling Li & Peigang Yan & Daren Yu, 2020. "A Stacked Denoising Sparse Autoencoder Based Fault Early Warning Method for Feedwater Heater Performance Degradation," Energies, MDPI, vol. 13(22), pages 1-21, November.
    2. Petar Durdevic & Zhenyu Yang, 2018. "Application of H ∞ Robust Control on a Scaled Offshore Oil and Gas De-Oiling Facility," Energies, MDPI, vol. 11(2), pages 1-18, January.
    3. Deliang Zeng & Yanqiu Zheng & Wei Luo & Yong Hu & Qingru Cui & Qing Li & Chen Peng, 2019. "Research on Improved Auto-Tuning of a PID Controller Based on Phase Angle Margin," Energies, MDPI, vol. 12(9), pages 1-16, May.
    4. Milan Hofreiter, 2021. "Relay Identification Using Shifting Method for PID Controller Tuning," Energies, MDPI, vol. 14(18), pages 1-21, September.
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