火电厂除氧器参数缺损环境热经济性分析研究

The Applaication of Thermal Economic Behavior in the Defective Condition of Deaerator Parameter in Heat-engine Plant

现有电厂因测点安装不完备,或有些测点由于长期未校准等,使得测量不准确,甚至个别测点为坏点,这就使电厂难以根据这些测点准确进行热力系统热经济性的在线分析计算[1]。提出了在参数缺损环境下热经济性分析的能效分布矩阵方程,利用人工神经网络特有的非线性信息处理能力,并以国产N200-12.7/535/535再热机组为例,介绍了除氧器出口参数缺损时建立合成抽汽焓hx神经网络计算模型的方法,及其在汽轮机组热经济性分析中的应用。

In existing power plant, conventional points of steam turbine is not enough, and some test points are not correct because they are not calibrated for long period, even individual points can be not used. It can not analyze and calculate the thermal economic behavior on-line with this points. This article put forward the thermal economic behavior analyze in the condition of parameter defecting using energy-efficiency distribution matrix, it use the nonlinear information treating capability, introduce the neural network model of composed enthalpy in the parameter defected condition, and its utility in the thermal economic behavior analyze of turboset.