Analysis method for actually measured pressure data in hydraulic transient process

Abstract

The invention discloses a method for analyzing actually measured pressure data in a hydraulic transient process, which relates to the field of electric power and comprises the following steps of: extracting mean pressure to obtain instantaneously changed pressure fluctuation data; performing time-domain grid distribution division on the obtained pressure fluctuation data to divide the pressure fluctuation data into a plurality of time grid regions, analyzing the pressure fluctuation data in each time grid region by using an empirical cumulative distribution function to obtain probability distribution of each data, performing confidence probability processing, and combining processed data groups of each time grid region to obtain the probability distribution of each data; obtaining processed pressure fluctuation data; the average pressure is added back to the processed pressure fluctuation data, and the total pressure data subjected to confidence probability processing in the whole time domain are obtained.According to the method, the test actual measurement extreme value result and the transition process pressure change process can be well evaluated, the draft tube pressure fluctuation process can be well analyzed and evaluated, safe and stable operation of a unit is ensured, and the reliability of the draft tube is improved. And a solid technical guarantee is provided for safe and stable operation of a power station.

Description

technical field [0001] The invention relates to the field of electric power, in particular to a method for analyzing measured pressure data in a hydraulic transient process. Background technique [0002] A large number of operating practices have shown that accidents in hydropower stations often occur during the transition process of hydraulic units. During this process, due to the dramatic changes in unit pressure and rotational speed, it may cause accidents such as rupture of pressure pipes, overflow of surge chambers and damage to unit components. serious security issues. Therefore, before the hydropower station performs the transition process, it is necessary to carry out the numerical simulation calculation of the transition process to evaluate the safety of the unit transition process. However, the current numerical simulation calculation can only calculate the average pressure value in the transition process of the unit, and cannot accurately simulate the fluctuation...

AI Technical Summary

Problems solved by technology

[0009] In this comparison file, the wavelet analysis method is used to decompose the measured hydrodynamic pressure signal during the transition process of the load shedding test of the pumped storage unit to obtain the measured average pressure and fluctuating pressure. Combined with the calculation of the one-dimensional transient flow transition process, the load shedding inversion calculation is carried out step by step It can better solve the technical problem that the random pressure fluctuation cannot be accurately calculated, and the prediction accuracy is high, which greatly reduces the safety risk of the load shedding test of one tube and multiple machines in the pumped storage power station, but this method focuses on extracting the average value of the data Scholars use the original measured data to subtract the mean data after the noise reduction processing is the pulsation data, focusing on the noise reduction processing of the mean pressure. different, the average pressure obtained is different, and the pulsation data obtained by processing is also quite different, which has great uncertainty for the inversion calculation of the transition process

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