Research On Advanced Control Strategy In Superheated Steam Temperature System

Superheated steam temperature is of great significance for the safety, stability and economy of power unit. Therefore, the requirements of it are very strict, and generally require deviation from setpoint remains within ?? 5C;in the process of load variance remains within ?? 10 C.However, the object has the properties of large time delay, large inertia, time-varying and many disturbance factors. Especially in recent years, the unit becoming larger, the object gets more delay and more complex. Based on the feedback, traditional PID can not regulate large delay object, for it often causes big overshoot. And using fixed parameters in the changing production environment, the control effect is not ideal. So the research on advanced control strategy for superheated steam temperature system has great significance.Firstly, this paper summarizes modeling methods, according to the Huaneng Tianjin #5(300MW) Unit superheated steam temperature system experiments data, and selects the different model structures, using particle swarm algorithm to identification data, transfer function model of superheated steam control system are established. Then, some advanced control strategies were simulated and compared, this paper selects state feedback advanced control strategiy to make further research, preparing to applied to the actual control scheme.Then, this paper uses Huaneng Tianjin #5 unit(300MW) superheated steam temperature control system as research object, and based on the original TELEPERM ME system, complete the new configuration design based on SPPA-T3000 system. Through the analysis of the original scheme, many shortcomings have been found and parameter setting is not reasonable. To solve these problems, this paper presents some new optimization measures, and have been implementated in the new DCS configuration.The designed control scheme has been successfully put into operation, from effects to put into operation running state stability, and ensure the safe and economic operation of the unit.Finally, this paper also presents a state feedback-PID advanced control strategy to do optimization control on #5 unit, through the simulation of the obtained actual transfer function model identification, confirming the feasibility of the control scheme and have been designed in the new DCS configuration, but due to time constraints, it is not actually ran, waiting for the right operating conditions to commission.