Design of Predictive Controller for Heat Recovery Steam Generator Based on Multi-objective Optimization
The balance control between steam and water of heat recovery steam generator(HRSG)is of great significance to realize energy conservation,emission reduction and economic operation of combined cycle gas-steam turbine(CCGT).The frequent load change of CCGT brings great disturbance to the balance between steam and water of HRSG,and the existing control strategy does not consider the economy of system operation.Therefore,a design omethod of multi-objective optimization model predictive controller based on non-dominated sorting genetic algorithm II(NSGAII)is proposed.Based on the three-impulse liquid level control system of HRSG,the energy consumption and efficiency of the system are added to the objective function,and the variable load control quantity of HRSG is solved dynamically by NSGAII.The actual operation data of a CCGT in China are used for the experiment,and the experimental results show that the proposed method has low operation cost while achieving steady-state tracking control.
万方数据
维普
