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Bilevel Internal Model Control-Desired Dynamic Equation-PID Control Strategy for Superheated Steam Regulation in

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This study introduces a new bilevel control framework for superheated steam temperature (SST) regulation in coal-fired power plants. The method enhances disturbance rejection during deep peak-shaving, significantly reducing SST fluctuations.

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Area of Science:

  • Engineering
  • Control Systems
  • Power Generation

Background:

  • Superheated steam temperature (SST) regulation is critical for large coal-fired combined heat and power (CHP) units, especially during deep peak-shaving operations.
  • Traditional PID controllers in industrial systems struggle with the wide load variations and disturbances inherent in these demanding conditions.
  • Limited computational capacity of existing distributed control systems hinders effective SST control.

Purpose of the Study:

  • To propose a novel bilevel Internal Model Control-Desired Dynamic Equation-PID (IMC-DDE-PID) control framework for robust SST regulation.
  • To enhance disturbance rejection capabilities in large coal-fired CHP units under challenging operating scenarios.
  • To validate the proposed control strategy through simulations and field tests.

Main Methods:

  • A bilevel control architecture combining Desired Dynamic Equation (DDE) and Internal Model Control (IMC) with PID.
  • The inner DDE loop shapes plant dynamics to follow a desired model, mitigating disturbances without precise process knowledge.
  • The outer IMC layer addresses residual disturbances using the desired model as an embedded internal model.

Main Results:

  • Simulations on benchmark SISO plants and identified SST models demonstrated effective tracking and disturbance rejection.
  • The control strategy showed robustness against large load variations and cross-load model uncertainties.
  • Field tests on a 660 MW CHP unit confirmed the method's practicality, reducing SST fluctuation by 7 °C.

Conclusions:

  • The proposed bilevel IMC-DDE-PID framework offers a practical and effective solution for SST regulation in large coal-fired CHP units under deep peak-shaving.
  • The control strategy significantly improves disturbance rejection and reduces temperature fluctuations compared to conventional methods.
  • This approach enhances operational stability and efficiency in power generation under dynamic load conditions.