【摘要】 余热锅炉汽水平衡控制对实现燃气-蒸汽联合循环机组(combined cycle gas-steam turbine,CCGT)节能减排和经济运行具有重要意义。CCGT频繁变负荷给余热锅炉汽水平衡带来了大幅度扰动，现有控制策略没有考虑系统运行的经济性。因此，提出了一种基于非支配排序遗传算法Ⅱ(non-dominated sorting genetic algorithm Ⅱ,NSGAⅡ)的多目标优化模型预测控制器设计方法。在余热锅炉三冲量液位控制系统的基础上，该方法将系统运行的能耗和效率加入目标函数，结合NSGAⅡ动态求解设备的变负荷控制量。利用国内某CCGT的实际运行数据进行实验，实验结果表明，所提方法在满足稳态跟踪控制的基础上，具有更低的运行成本。更多还原

【Abstract】 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 nondominated 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.更多还原