基于时间序列分析的水位噪声信号仿真

汽包水位的控制关系到整个联合循环电厂的运行效率和运行安全.由于水位信号中往往包含着噪声信号,因此水位噪声信号对水位控制系统的影响在进行控制系统设计和仿真时都必须加以考虑.然而已有的大多数余热锅炉仿真模型都没有考虑汽包水位噪声的影响.该文采用时间序列分析的方法,对现场采集的汽包水位噪声信号进行了分析,采用Burg方法建立了相应的水位噪声信号AR模型;该模型从功率谱上对现场数据进行了匹配模拟,使用该模型作为噪声模块在时域上成功地重建了汽包水位噪声信号,为开发余热锅炉汽包水位先进控制策略奠定了基础.

Level Noise Simulation Using Time Series Analysis

In combined cycle power plant,drum level control system is often affected by level noise.If this affection has not been taken into account in simulation environment,the control system developed by it may fail in the field.Most of the existing heat recovery boiler models can't accurately simulate the noise content in level signal.To solve such problem,by using time series analysis,a noise model is provided in this paper.According to the field data,the model rebuilds level noise signal in time domain,and the signal's PSD(power spectrum density) is close to the PSD of the field data in frequency domain.The model can be used as a reliable base to develop control strategy for drum level control system.