Controller Design for Increasing Efficiency of Boiler System Based Method Predictive Control and PSO Algorithm in HRSG System
Abstract
A Heat Recovery Steam Generator (HRSG) is in steady state when it converts wasted energy to useful energy for the system. Energy recovery systems are installed for using the wasted energy. Efficiency problems and disturbance decrease in boilers are controversial issues in a complex process with nonlinear parameters, uncertainty and load fluctuations. Predictive control can significantly improve total efficiency and energy recovery in nonlinear systems with high unpredictable losses. Process efficiency can be increased by heat recovery from stack gas flow. In order to increase the efficiency, predictive model is based on PSO algorithm. To decrease the loss, heat recovery boiler output pressure increase, water temperature increase and turbine output pressure decrease are suggested. A boiler in normal operation should have a desired constant steam pressure in drum output. Heat transfer mechanism to evaluate system dynamics includes key process variables responses such as steam pressure, temperature and mass flow. Simulation results show that acceptable error has a difference less than 10% compared to design data. Analyzed variables consist of: gas temperature, fluid temperature, drum pressure, drum fluid level and mass flow in each unit.
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