Dynamic model for controller design of condensate throttling systems

Area of Science:

• Engineering
• Energy Systems
• Control Theory

Background:

• Grid load fluctuations necessitate improved load adjustment in Chinese coal-fired power plants.
• Integration of new large-scale power plants increases grid stability challenges.
• Existing load adjustment methods may not meet the demands of a rapidly evolving power grid.

Purpose of the Study:

• To propose a novel condensate throttling system for rapid load adjustment in coal-fired power plants.
• To develop and validate a non-linear control model for this system.
• To assess the system's effectiveness using experimental data.

Main Methods:

• Derivation of a non-linear control model based on physical laws and turbine-stored energy characteristics.
• Simplification of fundamental physical laws for model derivation.
• Parameter identification using experimental data from a 660 MW supercritical coal-fired power plant.
• Comparison of model outputs with actual measured data.

Main Results:

• The developed non-linear control model accurately reflects the dynamic responses of the condensate throttling system.
• Model outputs show strong correlation with actual measured data across different unit loads.
• The model's predictive capability was validated against real-world performance.

Conclusions:

• The proposed condensate throttling system is a viable solution for rapid load adjustment in coal-fired power plants.
• The validated non-linear control model can be effectively utilized for designing the system's controller.
• This approach contributes to enhanced grid stability and operational efficiency in power generation.