随着智能电网的建设,电力系统要求发电机组既能快速响应负荷变化,又能保证自身安全经济地运行。发电系统中锅炉蒸汽温度控制过程的动态特性随负荷的大小而变化,并且存在控制量和操作量产生相互干扰等问题。文中提出了一种能够进行负荷跟踪的模型参考自适应控制系统,并利用梯度法推导出可以快速调节误差的参量调整机构,以确保系统的稳定性和抗干扰性。并进行了数据仿真,其仿真结果表明,采用模型参考自适应控制系统能够得到动态性能参数和控制效果,具有一定的理论指导意义和应用前景。
The smart electric power system requires both fast response to load change and safe and economic operation of the generating sets. The dynamic characteristic of the boiler steam temperature control process varies with load, thus the problem of mutual interference between control parameters and operating parameters. This paper puts forward a model reference adaptive control system capable of load tracking, and derives by the gradient method the parameter adjusting mechanism for quick adjustment of errors in order to ensure system stability and anti-jamming. The simulation results show that the model reference adaptive control system can achieve better dynamic performance parameters and control effect.