CN114355004A - Medium-voltage anti-electricity-stealing analysis method based on coding correlation - Google Patents
Medium-voltage anti-electricity-stealing analysis method based on coding correlation Download PDFInfo
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Abstract
The invention relates to the technical field of anti-electricity-stealing analysis, and discloses a medium-voltage anti-electricity-stealing analysis method based on code correlation, which comprises the following steps of: the method comprises the steps that a master station collects daily frozen electric quantity data of a line master table and each line gateway table; preprocessing the daily frozen electric quantity data; subtracting the sum of daily frozen electric quantity data of each line gateway meter from the daily frozen electric quantity data of the general meter to obtain a daily line loss value of the line; performing first-order difference operation on the daily frozen electric quantity of each line gateway meter and the daily line loss value of the line; coding according to the first-order difference operation result; obtaining a correlation coefficient between each line gateway table and a line daily line loss value according to a coding result; and the line gateway table with the correlation coefficient exceeding a certain threshold value is a suspected electricity stealing table. According to the invention, the judgment of the electricity stealing meters can be realized only by freezing the electric quantity data of the line master meter and the gate meters of each line daily without additionally arranging electricity stealing prevention equipment on the line, so that the judgment is low in workload and easy to realize on the basis of ensuring the judgment accuracy, and the time, the economy and the labor cost are saved.
Description
Technical Field
The invention relates to the technical field of electricity stealing prevention analysis, in particular to a medium-voltage electricity stealing prevention analysis method based on code correlation, which is mainly used for analyzing and judging electricity stealing conditions of medium-voltage users in a power distribution automation system.
Background
With the continuous increase of the whole electricity consumption of the society and the rapid development of science and technology, electricity stealing means become more and more concealed, and the problem of electricity stealing becomes a difficult problem which troubles power enterprises. And medium-voltage users have large power consumption, and are more easy to generate the idea of danger and electricity stealing under the drive of economic benefits. The electricity stealing behavior not only easily causes hazards such as fire, line faults and the like, but also causes huge economic losses for countries and power enterprises. At present, the common medium-voltage electricity stealing prevention method is mainly characterized in that extra electricity stealing prevention equipment is arranged on each medium-voltage line, an electricity stealing meter is searched by comparing the current recorded by the equipment and the line gateway electric energy meter, the method has large workload, and the cost for arranging the electricity stealing prevention equipment on each line is too high. Therefore, the research on the more efficient and simple medium-voltage anti-electricity-stealing analysis technology has very practical and important significance for the development of society.
Disclosure of Invention
Aiming at the problems, the invention overcomes the defects of the prior art and provides a medium-voltage electricity stealing prevention analysis method based on coding correlation. According to the method, no anti-electricity-stealing equipment is required to be additionally arranged on the line, and the judgment on electricity stealing meters can be realized only by acquiring daily frozen electric quantity data of the total electric energy meter of the medium-voltage line and the electric energy meters of all line gateways.
In order to achieve the purpose of the invention, the invention adopts the following technical scheme:
a medium voltage anti-electricity-stealing analysis method based on coding correlation comprises the following steps:
s 1: the method comprises the steps that a master station collects daily frozen electric quantity data of a total electric energy meter of a medium-voltage line and electric energy meters of various line gateways;
s 2: preprocessing the daily frozen electric quantity data;
s 3: subtracting the sum of the daily freezing electric quantity data of the electric energy meters of each line gateway from the daily freezing electric quantity data of the total electric energy meter to obtain a line daily line loss value;
s 4: performing first-order difference operation on the daily frozen electric quantity of each line gateway electric energy meter and the daily line loss value of the line;
s 5: coding according to the first-order difference operation result;
s 6: obtaining a correlation coefficient between the electric energy meter of each line gateway and the line daily line loss value according to the coding result;
s 7: and (4) listing the electric energy meter of the line gateway with the absolute value of the correlation coefficient exceeding a certain threshold as a suspected electricity meter.
Preferably, the specific operations of preprocessing in the step s2 are: if the daily frozen electric quantity data of the total electric energy meter are not collected at a certain data collection point, discarding the daily frozen electric quantity data of the electric energy meter at all the line gateways corresponding to the data collection point; if the daily frozen electric quantity data of the electric energy meter at a certain line gateway are not acquired at a certain data acquisition point, the daily frozen electric quantity data of the total electric energy meter corresponding to the data acquisition point and the daily frozen electric quantity data of the electric energy meters at other line gateways are abandoned.
Preferably, the formula for calculating the line loss value in the step s3 is as follows:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, x, after data preprocessingijIs shown asjData acquisition Point ofiDaily frozen electric quantity data, y, of electric energy meter at each line gatewayjIs shown asjDaily frozen electricity reading of total electric energy meter at data acquisition point, |jIs shown asjAnd line daily line loss values of the data acquisition points.
Preferably, the first order difference operation formula in step s4 is:
and (3) performing first-order difference on the daily frozen electric quantity data of the line gateway electric energy meter:
and (3) performing first-order difference on the line daily loss value:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, x, after data preprocessingijIs shown asjData acquisition Point ofiDaily frozen electricity reading of individual line gateway electric energy meter, |jIs shown asjLine daily loss value, Δ x, of individual data acquisition pointsijRepresenting the first order difference, Delal, of the daily frozen power data for a line gateway power meterjRepresenting the first order difference value to the line loss value.
Preferably, the encoding rule in step s5 is as follows:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of data acquisition points remaining after data preprocessing, Δ xijRepresenting the first order difference, Delal, of the daily frozen power data for a line gateway power meterjRepresenting a first order differential value, Dx, of the line loss valueijCode value Dl representing the first order difference value of the daily frozen power data of the line gateway electric energy meterjAnd a coded value representing a first order difference value of the line loss value.
Preferably, the correlation coefficient in step s6 is a pearson correlation coefficient, and the calculation formula is:
wherein
，
，mThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, Dx, after pre-processing the dataijCode value Dl representing the first order difference value of the daily frozen power data of the line gateway electric energy meterjAnd a coded value representing a first order difference value of the line loss value.
Preferably, the value range of the threshold in the step s7 is 0.6-0.8.
The invention has the beneficial effects that: the method comprises the steps of performing first-order difference operation on the electricity consumption of the line electric energy meter and the line daily line loss value, coding an operation result according to a certain coding rule, and analyzing electricity stealing meters according to coding correlation. The method does not need to install any anti-electricity-stealing equipment on the line, can judge the electricity-stealing meters only by acquiring daily frozen electric quantity data of the medium-voltage line total electric energy meter and all line gateway electric energy meters, has small workload on the basis of ensuring the judgment accuracy, is easy to realize, and saves time, economy and labor cost.
Drawings
FIG. 1 is a general flow diagram of the present invention.
Fig. 2 is a line loss graph of a distribution room according to an embodiment of the present invention.
Fig. 3 is an absolute value data diagram of pearson correlation coefficients after differentiation and encoding of electric energy meter data of each line gateway and line daily loss values in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
With reference to fig. 1, a medium voltage anti-electricity-stealing analysis method based on coding correlation comprises the following steps:
s 1: the method comprises the steps that a master station collects daily frozen electric quantity data of a total electric energy meter of a medium-voltage line and electric energy meters of various line gateways;
the embodiment shows that a certain area has 41 line gateway electric energy meters, and 90-day frozen electric quantity data of the area, namely 90 data acquisition points, are acquired.
s 2: preprocessing the daily frozen electric quantity data: if the daily frozen electric quantity data of the total electric energy meter are not collected at a certain data collection point, discarding the daily frozen electric quantity data of the electric energy meter at all the line gateways corresponding to the data collection point; if the daily frozen electric quantity data of the electric energy meter at a certain line gateway are not acquired at a certain data acquisition point, discarding the daily frozen electric quantity data of the total electric energy meter corresponding to the data acquisition point and the daily frozen electric quantity data of the electric energy meters at other line gateways;
in the examples, data acquisition was found to be incomplete at day 90 after data preprocessing, and the day data was discarded.
s 3: subtracting the sum of the daily freezing electric quantity data of the electric energy meters of each line gateway from the daily freezing electric quantity data of the total electric energy meter to obtain a line daily line loss value; the formula for calculating the line loss value is as follows:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, x, after data preprocessingijIs shown asjData acquisition Point ofiDaily frozen electric quantity data, y, of electric energy meter at each line gatewayjIs shown asjDaily frozen electricity reading of total electric energy meter at data acquisition point, |jIs shown asjLine daily line loss values of the data acquisition points;
the calculated line loss per day curve of the distribution room in the embodiment is shown in fig. 2.
s 4: performing first-order difference operation on the daily frozen electric quantity of each line gateway electric energy meter and the daily line loss value of the line; the first order difference operation formula is:
and (3) performing first-order difference on the daily frozen electric quantity data of the line gateway electric energy meter:
and (3) performing first-order difference on the line daily loss value:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, x, after data preprocessingijIs shown asjData acquisition Point ofiDaily frozen electricity reading of individual line gateway electric energy meter, |jIs shown asjLine daily loss value, Δ x, of individual data acquisition pointsijRepresenting the first order difference, Delal, of the daily frozen power data for a line gateway power meterjRepresenting the first order difference value to the line loss value.
s 5: coding according to the first-order difference operation result; the encoding rule is as follows:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of data acquisition points remaining after data preprocessing, Δ xijRepresenting the first order difference, Delal, of the daily frozen power data for a line gateway power meterjRepresenting a first order differential value, Dx, of the line loss valueijCode value Dl representing the first order difference value of the daily frozen power data of the line gateway electric energy meterjAnd a coded value representing a first order difference value of the line loss value.
s 6: obtaining a correlation coefficient between the electric energy meter of each line gateway and the line daily line loss value according to the coding result;
in the embodiment, the correlation coefficient is a pearson correlation coefficient, and the calculation formula is as follows:
wherein
，
，mThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, Dx, after pre-processing the dataijCode value Dl representing the first order difference value of the daily frozen power data of the line gateway electric energy meterjAnd a coded value representing a first order difference value of the line loss value.
s 7: the method comprises the following steps of (1) listing a line gateway electric energy meter with the absolute value of a correlation coefficient exceeding a certain threshold as a suspected electricity stealing meter, wherein the value range of the threshold is 0.6-0.8;
the absolute value of the pearson correlation coefficient between the electric energy meter of each line gateway and the line daily loss value in the embodiment is obtained according to the coding result, as shown in fig. 3, the threshold value is set to be 0.7 in the embodiment, the judgment is carried out by combining with fig. 3, the sixth table is obtained as the over-differential table, and the judgment result of the method is consistent with the actual checking result after verification.
The above-mentioned embodiments are illustrative of the specific embodiments of the present invention, and are not restrictive, and those skilled in the relevant art can make various changes and modifications to obtain corresponding equivalent technical solutions without departing from the spirit and scope of the present invention, so that all equivalent technical solutions should be included in the scope of the present invention.
Claims (7)
1. A medium-voltage anti-electricity-stealing analysis method based on coding correlation is characterized by comprising the following steps:
s 1: the method comprises the steps that a master station collects daily frozen electric quantity data of a total electric energy meter of a medium-voltage line and electric energy meters of various line gateways;
s 2: preprocessing the daily frozen electric quantity data;
s 3: subtracting the sum of the daily freezing electric quantity data of the electric energy meters of each line gateway from the daily freezing electric quantity data of the total electric energy meter to obtain a line daily line loss value;
s 4: performing first-order difference operation on the daily frozen electric quantity of each line gateway electric energy meter and the daily line loss value of the line;
s 5: coding according to the first-order difference operation result;
s 6: obtaining a correlation coefficient between the electric energy meter of each line gateway and the line daily line loss value according to the coding result;
s 7: and (4) listing the electric energy meter of the line gateway with the absolute value of the correlation coefficient exceeding a certain threshold as a suspected electricity meter.
2. The medium voltage anti-electricity-stealing analysis method based on code correlation as claimed in claim 1, wherein the preprocessing in step s2 includes the following specific operations: if the daily frozen electric quantity data of the total electric energy meter are not collected at a certain data collection point, discarding the daily frozen electric quantity data of the electric energy meter at all the line gateways corresponding to the data collection point; if the daily frozen electric quantity data of the electric energy meter at a certain line gateway are not acquired at a certain data acquisition point, the daily frozen electric quantity data of the total electric energy meter corresponding to the data acquisition point and the daily frozen electric quantity data of the electric energy meters at other line gateways are abandoned.
3. The medium voltage anti-electricity-stealing analysis method based on code correlation as claimed in claim 1, wherein the formula for calculating the line loss value in step s3 is as follows:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, x, after data preprocessingijIs shown asjIndividual data acquisitionAt the point of collectioniDaily frozen electric quantity data, y, of electric energy meter at each line gatewayjIs shown asjDaily frozen electricity reading of total electric energy meter at data acquisition point, |jIs shown asjAnd line daily line loss values of the data acquisition points.
4. The method for analyzing medium voltage anti-electricity-stealing based on code correlation as claimed in claim 1, wherein the first order difference operation formula in step s4 is:
and (3) performing first-order difference on the daily frozen electric quantity data of the line gateway electric energy meter:
and (3) performing first-order difference on the line daily loss value:
whereinmThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, x, after data preprocessingijIs shown asjData acquisition Point ofiDaily frozen electricity reading of individual line gateway electric energy meter, |jIs shown asjLine daily loss value, Δ x, of individual data acquisition pointsijRepresenting the first order difference, Delal, of the daily frozen power data for a line gateway power meterjRepresenting the first order difference value to the line loss value.
5. The medium voltage anti-electricity-stealing analysis method based on code correlation as claimed in claim 1, wherein the code rule in step s5 is as follows:
whereinmIndicating lineThe number of the gateway electric energy meters,nrepresenting the number of data acquisition points remaining after data preprocessing, Δ xijRepresenting the first order difference, Delal, of the daily frozen power data for a line gateway power meterjRepresenting a first order differential value, Dx, of the line loss valueijCode value Dl representing the first order difference value of the daily frozen power data of the line gateway electric energy meterjAnd a coded value representing a first order difference value of the line loss value.
6. The method for analyzing medium voltage anti-electricity-stealing based on coding correlation as claimed in claim 1, wherein the correlation coefficient in step s6 is Pearson correlation coefficient, and the calculation formula is:
wherein
，
，mThe number of the electric energy meters of the line gateway is shown,nrepresenting the number of remaining data acquisition points, Dx, after pre-processing the dataijCode value Dl representing the first order difference value of the daily frozen power data of the line gateway electric energy meterjAnd a coded value representing a first order difference value of the line loss value.
7. The medium voltage electricity stealing prevention analysis method based on the code correlation as claimed in claim 1, wherein the threshold value in the step s7 is in a range of 0.6-0.8.
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| CN115656914A (en) * | 2022-12-12 | 2023-01-31 | 湖南省计量检测研究院 | Smart electric meter metering accuracy detection method and device based on big data |
| CN115656914B (en) * | 2022-12-12 | 2023-10-10 | 湖南省计量检测研究院 | Intelligent ammeter metering accuracy detection method and device based on big data |
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