A method for on-line performance monitoring of thermal power generating units based on component characteristics

Abstract

The invention provides a thermal generator set online performance monitoring method based on component characteristics, which belongs to the technical field of power system simulation and control. The method comprises the steps that 1) required historical measurement data of a power plant are selected, and coarse error rejection and steady-state screening are carried out on the data; 2) a data coordination technology is used to reduce the uncertainty of measured data to provide an accurate data source for modeling; 3) the whole working condition exact model of the key components of a thermal generator set is established based on a dominant factor method; 4) according to the deviation between a monitoring variable target value calculated by a component model and the actual measured value, a device performance change quantitative judgment method based on a statistical control technology is used to judge whether a component is failed, so as to realize online performance monitoring of the thermal generator set. According to the method, data preprocessing and data reconciliation are carried out on the data used for modeling; the modeling data are reliable; the device health can be published online in real time; and a failed component can be accurately located.

Description

technical field [0001] The invention relates to an on-line performance monitoring method of a thermal power generating set based on component characteristics, which belongs to the field of power system simulation control. Background technique [0002] At present, the coal consumption of thermal power stations accounts for more than 50% of the domestic average annual coal consumption. Realizing efficient and stable operation of thermal power stations is of great significance to energy conservation and environmental protection. The performance monitoring system of thermal power generation units can effectively realize the efficient operation of generating units. At present, the performance monitoring system commonly used at this stage has the following defects: due to the variable operating conditions of the unit, the aging of the measuring instrument, etc., the measurement data obtained by the unit measurement has errors. The direct use of the data obtained from the power pla...

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Problems solved by technology

At present, the performance monitoring system commonly used at this stage has the following defects: due to the variable operating conditions of the unit, the aging of the measuring instrument, etc., there are errors in the measurement data obtained by the unit measurement

The direct use of the data obtained from the power plant to establish an accurate model will seriously affect the accuracy of the model; at present, the commonly used performance monitoring system is to compare the historical data, or establish a mathematical model based on the thermal components or the overall boundary parameter conditions, and compare the actual measured value with the expected value The deviation judges the operating state of the system. The effectiveness of the monitoring system largely depends on the accuracy of the mathematical model. However, the existing power plant monitoring model is difficult to accurately reflect the thermal system components and overall performance in the full range of working conditions; there is a lack of effective failure The discrimination mechanism cannot timely and accurately alarm component failures

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