CN104182553B - The data processing of transformer DC magnetic bias monitoring system and storage method - Google Patents

The data processing of transformer DC magnetic bias monitoring system and storage method Download PDF

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Publication number
CN104182553B
CN104182553B CN201410395207.3A CN201410395207A CN104182553B CN 104182553 B CN104182553 B CN 104182553B CN 201410395207 A CN201410395207 A CN 201410395207A CN 104182553 B CN104182553 B CN 104182553B
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signal
domain
frequency
data
time
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CN201410395207.3A
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CN104182553A (en
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刘闯
周行星
陆启宇
袁志文
彭伟
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国网上海市电力公司
华东电力试验研究院有限公司
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Abstract

The present invention relates to a kind of data processing of transformer DC magnetic bias monitoring system and storage method, comprise the following steps:Step S1:Read the current signal and acceleration signal of transformer DC magnetic bias monitoring;Step S2:DC component and AC compounent are isolated from current signal using the algorithm of LPF, definite value, the time-domain signal of electric current is obtained;Step S3:Frequency domain processing is carried out to acceleration signal, definite value, time-domain signal and the frequency signal of acceleration is obtained;Step S4:Using three kinds of forms:Master data sheet, time domain data table, frequency domain data table preserve current signal definite value and time-domain signal, and acceleration signal definite value, time-domain signal and frequency signal.Compared with prior art, the present invention can greatly be reduced the data volume of storage, save memory space, and the speed for reading data is quickly, when checking monitoring result historical variations trend, it is not necessary to check all data, be checked conveniently.

Description

The data processing of transformer DC magnetic bias monitoring system and storage method
Technical field
The present invention relates to a kind of many data types, the data processing of Large Copacity and storage method, more particularly, to one kind change The data processing of depressor D.C. magnetic biasing monitoring system and storage method.
Background technology
As intelligent substation improvement project is smoothed out in China, power transmission and transformation equipment state monitoring technology has turned into real The critical support technology that existing intelligent substation is built, the core content that even more intelligent substation is built.Therefore, power transmission and transforming equipment shape The construction of state monitoring and fault diagnosis system is to improving State Grid Corporation of China's production management level, strengthened condition monitoring maintenance auxiliary Decision-making application, the construction of promotion intelligent grid have actively and profound significance.In the operation and maintenance of power equipment, electric power becomes The equipment that depressor does not only belong to most important in power system and most expensive, and be the equipment for causing power system accident most One of, and its failure may cause great harm and influence to power system and user, therefore power transformers is online Monitoring is particularly important with diagnostic techniques.
Influenceed by the earthing pole of D.C. high voltage transmission, two transformer stations in different DC potentials are through transmission line of electricity structure Into loop, DC current is introduced into the neutral point and winding of power transformer so that power transformer D.C. magnetic biasing occurs and showed As causing to become noise increase, vibration aggravation etc., it is also possible to occur the harmonic distortion increase of overheat and AC network.Thus, electricity The DC current that power transformer neutral point passes through will be detected in real time, quickly can be reflected in time to scheduling if any abnormal, by this Influence of the DC current to transformer is grasped and controlled to kind of mode.
The main monitoring neutral point current of power transformer D.C. magnetic biasing monitoring and vibration, vibration generally want frequency-domain transform ability The amplitude of vibration is reacted, therefore the points sampled are more, for large-scale power transformer, three phase separation, each phase is required for If monitoring the Vibration Condition done, the memory data output that this has resulted in the monitoring system is very big.
The content of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide a kind of transformer dc is inclined The data processing of magnetic monitoring system and storage method, the data processing and storage method can greatly subtract the data volume of storage It is few, memory space is saved, and the speed for reading data is quickly, when checking monitoring result historical variations trend, it is not necessary to check All data, are checked conveniently.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of data processing of transformer DC magnetic bias monitoring system and storage method, comprise the following steps:
Step S1:Read the current signal and acceleration signal of transformer DC magnetic bias monitoring;
Step S2:DC component and AC compounent are isolated from current signal using the algorithm of LPF, electricity is obtained The definite value of stream, time-domain signal;
The cut-off frequency of described LPF algorithm is 1-6Hz;
Step S3:Frequency domain processing is carried out to acceleration signal, definite value, time-domain signal and the frequency signal of acceleration is obtained;
Described step S3 is specially:
301:Acceleration signal is subjected to bandpass filtering, cut-off frequency selection is 50Hz integral multiple ± 5Hz, and processing always is arrived 2000Hz;
302:Acceleration time domain data after bandpass filtering are subjected to fft algorithm processing, corresponding definite value, time domain letter is obtained Number and frequency-region signal;
Step S4:Using three kinds of forms:Master data sheet, time domain data table, frequency domain data table preserve current signal definite value and Time-domain signal, and acceleration signal definite value, time-domain signal and frequency signal;
Wherein, the time of each sampling instant of master data sheet storage, the sample frequency of time domain waveform, electric current time-domain signal number According to the characteristic value of the DC current isolated, and current signal and acceleration signal;Time domain data table stores electric current and acceleration The ordinate and abscissa of acquired original data are spent, abscissa is calculated by the sample rate of sampling instant and obtained;Frequency domain data table Store frequency-domain signal data of the acceleration in 2000Hz.
The characteristic value of described current signal includes maximum, the amplitude for the alternating current isolated, virtual value, described The characteristic value of acceleration signal includes time domain maximum, mean square deviation, average value and frequency domain maximum and corresponding frequency.
Compared with prior art, the invention has the advantages that:
1) storage mode that the inventive method is used can largely reduce the memory space of data;
2) after the inventive method data storage, then when checking historical data, the characteristic value that can be checked in main table, it is not necessary to beat All data files are opened, quick, efficiency high is read;
3) the inventive method stores the frequency-domain result of data simultaneously, is easy to directly read, it is not necessary to calculated again, holds Line efficiency is high, and can't additionally take excessive memory space;
4) when the inventive method storage time domain waveform, row and column is obtained for most rational utilization, the utilization rate of table Height, further increases efficiency.
Brief description of the drawings
Fig. 1 is the inventive method flow chart.
Embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to Following embodiments.
The monitoring type of power transformer D.C. magnetic biasing monitoring system has two kinds:Electric current and the acceleration of reaction vibration.Such as Shown in Fig. 1, the data processing of transformer DC magnetic bias monitoring system and storage method comprise the following steps:
Step S1:Read the current signal and acceleration signal of transformer DC magnetic bias monitoring;
The sample rate of power transformer D.C. magnetic biasing monitoring system, electric current and acceleration is all 10kS/s, and the sampling time is 1s, time domain sampling point is 10000, and the frequency resolution after acceleration signal frequency-domain transform is 1.
Step S2:DC component and AC compounent are isolated from current signal using the algorithm of LPF, electricity is obtained The definite value of stream, time-domain signal;
For current detecting, the result detected is alternating current and DC current, is by the alternating current of neutral point The sine wave of 50Hz integral multiples, by low pass filter by AC and DC current separation, the cut-off frequency of low pass filter for 1~ 6Hz;The low-pass cut-off frequencies that the present embodiment is used is 1Hz.
Step S3:Frequency domain processing is carried out to the acceleration signal for characterizing vibration, the amplitude of vibration, power transformer are observed with this The vibration frequency of device is 50Hz integral multiple, obtains definite value, time-domain signal and the frequency signal of acceleration;Specially:
301:Acceleration signal is subjected to bandpass filtering, cut-off frequency selection is 50Hz integral multiple ± 5Hz, and processing always is arrived 2000Hz;
302:Acceleration time domain data after bandpass filtering are subjected to fft algorithm processing, corresponding definite value, time domain letter is obtained Number and frequency-region signal;
Acceleration frequency domain resolution and the positive inverse ratio of time domain data acquisition time, when frequency domain resolution is 1Hz, time domain acquisition 1s Signal, frequency resolution is 0.5Hz, time domain acquisition 2s signal.
Step S4:Using three kinds of forms:Master data sheet, time domain data table, frequency domain data table preserve current signal definite value and Time-domain signal, and acceleration signal definite value, time-domain signal and frequency signal.
The time of each sampling instant of master data sheet storage, the sample frequency of time domain waveform, electric current time-domain signal data point The DC current separated out, and current signal and acceleration signal characteristic value.
The characteristic value of current signal includes maximum, the amplitude for the alternating current isolated, virtual value, acceleration signal Characteristic value includes time domain maximum, mean square deviation, average value and frequency domain maximum and corresponding frequency.
Time domain data table stores electric current and the ordinate and abscissa of acceleration acquired original data, and abscissa passes through sampling The sample rate at moment is calculated and obtained.
Frequency domain data table stores frequency-domain signal data of the acceleration in 2000Hz.
It is the structure of master data sheet as shown in table 1, record sampling instant, DC current, sample frequency, acceleration frequency are most Big value and corresponding frequency.
The structure of the master data sheet of table 1
Sampling instant DC current Sample frequency Acceleration frequency domain maximum Corresponding frequency
2011-12-22 14:23:39 5.672204 10000 120 100
2011-12-22 14:25:39 5.621875 10000 118 150

Claims (3)

1. data processing and the storage method of a kind of transformer DC magnetic bias monitoring system, it is characterised in that comprise the following steps:
Step S1:Read the current signal and acceleration signal of transformer DC magnetic bias monitoring;
Step S2:DC component and AC compounent are isolated from current signal using the algorithm of LPF, electric current is obtained Definite value, time-domain signal;
Step S3:Frequency domain processing is carried out to acceleration signal, definite value, time-domain signal and the frequency signal of acceleration is obtained;
Step S4:Using three kinds of forms:Master data sheet, time domain data table, frequency domain data table preserve current signal definite value and when Domain signal, and acceleration signal definite value, time-domain signal and frequency signal;
Wherein, the time of each sampling instant of master data sheet storage, the sample frequency of time domain waveform, electric current time-domain signal data point The DC current separated out, and current signal and acceleration signal characteristic value;Time domain data table stores electric current and acceleration is former The ordinate and abscissa of beginning gathered data, abscissa are calculated by the sample rate of sampling instant and obtained;Frequency domain data table is stored Frequency-domain signal data of the acceleration in 2000Hz;
Described step S3 is specially:
301:Acceleration signal is subjected to bandpass filtering, cut-off frequency selection is 50Hz integral multiple ± 5Hz, and processing always is arrived 2000Hz;
302:By after bandpass filtering acceleration time domain data carry out fft algorithm processing, obtain corresponding definite value, time-domain signal and Frequency-region signal.
2. data processing and the storage method of a kind of transformer DC magnetic bias monitoring system according to claim 1, it is special Levy and be, the cut-off frequency of described LPF algorithm is 1-6Hz.
3. data processing and the storage method of a kind of transformer DC magnetic bias monitoring system according to claim 1, it is special Levy and be, the characteristic value of described current signal includes maximum, the amplitude for the alternating current isolated, virtual value, described The characteristic value of acceleration signal includes time domain maximum, mean square deviation, average value and frequency domain maximum and corresponding frequency.
CN201410395207.3A 2014-08-12 2014-08-12 The data processing of transformer DC magnetic bias monitoring system and storage method CN104182553B (en)

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CN106441547A (en) * 2016-08-31 2017-02-22 许继集团有限公司 Transformer vibration monitoring method and apparatus

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CN102520240A (en) * 2012-01-05 2012-06-27 山东电力研究院 Magnetic bias current monitoring and early-warning system for large-scale transformer
CN203133203U (en) * 2013-03-21 2013-08-14 国家电网公司 DC magnetic bias monitoring system based on multiple acquisition cards
CN103713217A (en) * 2013-12-25 2014-04-09 国家电网公司 Method for monitoring operating state of power transformer on line under direct-current magnetic bias condition

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