基于非线性最小二乘法的热电厂状态估计

目前,状态估计技术广泛运用于以数学、控制工程和自动化为基础理论的各个行业中。为了解决热电系统运行参数采集过程中出现的数据不全、精度不高、数据不和谐和出现坏点的问题,对状态估计技术在热电系统中的应用进行了研究,提出了一套以非线性最小二乘法为基础的状态估计算法,并进行了实例分析。研究结果表明,通过运用状态估计技术可以补平采集数据的缺失点,提高数据采集精度,节省采集终端投资和项目工程实施量,保障后续高级软件对热电系统分析评估的可靠性。

State estimation of thermal power plant based on non-linear least-square method

Nowadays,the state estimation in accordance with the theory of mathematics,controlling engineering and automation are widely used in every industry.In order to solve the problems with regard to the incompleteness,inaccuracy and inharmony of data acquired in the collecting process of the operating parameters of power system,the application of state estimation was studied and a set of algorithms based on nonlinear weighted least squared method were presented.An example in the experiments of the application of the state estimation was set up.The results prove that the missing points in collecting process can be recovered,the accuracy of data collection can be enhanced,the invest-ment and workload for the collection terminals and project engineering can be saved,and the reliability of the evaluation of late advanced soft-ware for the thermal power system can be guaranteed.