CN111008510A - Method for identifying ammeter in transformer area and method for judging transformer area to which ammeter belongs - Google Patents
Method for identifying ammeter in transformer area and method for judging transformer area to which ammeter belongs Download PDFInfo
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Abstract
The invention relates to a method for identifying electric meters in a distribution area and a method for judging the distribution area to which the electric meters belong. On one hand, based on the model, the method for identifying the electric meters in the distribution area can be processed by pure software compared with a power frequency distortion method, is convenient to realize, and can eliminate the suspicious electric meters in the non-distribution area in the networked electric meters compared with the networking mode only through power line carrier communication, so that the distribution area identification rate is improved; on the other hand, the method for judging the transformer area to which the electric meter belongs is provided based on the model, whether the electric meter belongs to the assumed transformer area or not is accurately identified, matching of the electric meter and the transformer area is achieved, identification accuracy is high, and operation is convenient. According to the invention, after the electric meters in the non-local area are removed, the area to which the electric meters belong can be quickly searched by using a method for judging the area to which the electric meters belong, and an accurate area-to-area relationship is established.
Description
Technical Field
The invention relates to a method for identifying electric meters in a transformer area and a method for judging transformer areas to which the electric meters belong, and belongs to the technical field of transformer area identification.
Background
The correct identification of the transformer substation relationship is the current business requirement of low-voltage power distribution, and the power consumption management department needs to check user files according to the user file, so that the file relationship corresponding to a power supply user under a transformer substation is accurate, and the error-free management data is guaranteed. Based on the correct transformer relation of the transformer area, the power management department can correctly account the total power consumption of the transformer area users and judge the line loss rate of the transformer area, thereby effectively tracking and analyzing the method for reducing the line loss rate. The transformer area subscriber relationship is combined with the phase relationship, and the transformer area subscriber relationship can also be used for balancing the power load and reducing the unbalanced load loss. There are several types of current station area identification:
1. and (3) power frequency distortion identification method. The power frequency level is that a low-impedance load is provided near the voltage zero crossing point of the low-voltage transformer area, so that the zero crossing point of the sinusoidal signal is subjected to signal distortion. And transmitting a power frequency level signal at the position of the transformer, detecting a zero-crossing distortion signal near the ammeter needing to be identified, and considering that the ammeter belongs to the transformer corresponding area when the distortion signal is detected. The method has the advantage of high identification rate, but the large current generating power frequency distortion can cause the load overcurrent of the transformer area to cause the starting of the overcurrent protector to cause the power failure of the transformer area.
2. A power line carrier communication based approach. The method is characterized in that by means of the existing power line carrier communication mode, a local communication module of a station concentrator sends power line carrier signals, a power line carrier module of an intelligent electric meter receives the signals and forwards for networking, and the electric meter corresponding to the carrier module which can successfully be networked belongs to the station. The method is simple to implement, but crosstalk is easily generated due to high carrier frequency, so that the electric meters of other districts are easily identified as the electric meters of the district.
How to provide a station area identification method with high identification rate and convenient operation is a technical problem to be solved urgently in the field.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method for identifying electric meters in a distribution room and a method for judging the distribution room to which the electric meters belong based on a multiple linear regression algorithm, which can be processed by pure software compared with a power frequency distortion method, are convenient to realize, and can eliminate suspicious non-distribution room electric meters in a networked electric meter compared with a networking mode only through power line carrier communication, so that the distribution room identification rate is improved.
In order to achieve the above object, an aspect of the present invention provides a method for identifying electric meters in a distribution area, including:
s1, constructing a transformer area total current model taking the current of each ammeter in the transformer area as an independent variable;
s2, collecting the current of each ammeter in a plurality of groups of distribution areas, and solving a total current model of the distribution areas;
s3, carrying out significance test, deleting the electric meters corresponding to the independent variables with the significance smaller than the first threshold value as the electric meters in the non-local district, and returning to the step S1 to update the total current model of the district; and if the independent variable with the significance smaller than the first threshold value does not exist, taking the residual independent variable corresponding to the electric meter as the local electric meter.
In another aspect, a method for determining a region to which an electricity meter belongs is provided, including:
s100, assuming that a plurality of electric meters needing to be judged belong to a certain area;
s200, constructing a total current model of the transformer area by taking the current of each electric meter in the transformer area including a plurality of electric meters needing to judge the attribution as an independent variable;
s300, collecting the current of each ammeter in a plurality of groups of distribution areas, and solving a total current model of the distribution areas;
s400, carrying out significance test, deleting the electric meters corresponding to the independent variables with the significance smaller than the first threshold value as the electric meters in the non-local district, and returning to the step S100 to update the total current model of the district; and if the independent variable with the significance smaller than the first threshold value does not exist, checking whether the independent variables of the electric meters of the attribution are remained or not, if so, belonging to the distribution area, otherwise, not belonging to the distribution area.
Further, the total current model of the platform area is as follows:
Y＝X·Δ
x is a current matrix of each ammeter in the transformer area,
△ is a matrix of regression coefficients for the matrix,
wherein
The current collected at the T moment for the kth ammeter, T is the total number of the sampling groups, N is the total number of the ammeters in the transformer area, and deltajThe regression coefficient of the current collected at the time t of the jth ammeter.
Further, before the t value of each variable is calculated by adopting a t-test method, the independent variable of which the regression coefficient absolute value exceeds a second threshold value is removed and deleted as the non-local region ammeter, and the total current model of the updated region is returned.
Further, the second threshold value is 3-5.
Further, step S1 is preceded by obtaining a total power generation amount W1 per unit time of the electricity grid, and a sum W2 of power consumptions measured by the electricity meters in the electricity grid, and if (W2-W1)/W1 exceeds a third threshold, proceeding to step S1.
Further, the third threshold is 2% to 20%.
Furthermore, a t test method is adopted for significance test, t values of respective variables are compared with the first threshold, and the first threshold is 0.8-1.2.
Further, after the electric meters in the non-local area are deleted, other areas which the electric meters possibly belong to are searched in the area range, and the areas to which the electric meters belong are judged.
Further, other possible areas are searched within the area range, and the area to which the electric meter belongs is judged by the method in claim 2.
The beneficial technical effects produced by the technical scheme of the invention comprise:
(1) compared with a power frequency distortion method, the method can be processed by pure software, is convenient to realize, and can remove suspicious non-distribution-area electric meters in the networked electric meters and improve the distribution-area identification rate compared with the networking mode only through power line carrier communication.
(2) The invention also provides a method for judging the district to which the ammeter belongs, which can accurately identify whether the ammeter belongs to the assumed district, realizes the matching of the ammeter and the district, and has high identification accuracy and convenient operation.
(3) According to the invention, after the electric meters in the non-local area are removed, the area to which the electric meters belong can be quickly searched by using a method for judging the area to which the electric meters belong, and an accurate area-to-area relationship is established.
Drawings
FIG. 1 is a schematic flow chart of a method for identifying electric meters in a distribution area according to the present invention;
fig. 2 is a schematic flow chart of a method for determining a region to which an electricity meter belongs according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The invention is based on a mode based on power line carrier communication, and by means of kirchhoff current law, namely a physical criterion that the total current of a transformer area is equal to the total current of each branch, namely each electric meter.
And at a specific time interval, acquiring current data of the ammeter capable of networking by utilizing power line carrier communication.
Assuming that a transformer area is defined as O, the number of electric meters capable of being networked is N, the sampling time is t, and the sampling current of an electric meter k at the time t is defined as
The total current of the cell is defined as
Assuming that the sampling error is 0, according to kirchhoff's current law, the following formula is given:
the δ (a) function is defined as follows:
because the actual measurement of the formula 1 is unreliable due to sampling errors of the system current, big data statistics are carried out by means of data at different time t.
The invention carries out data statistics based on the multiple linear regression theory. And performing mathematical modeling on the independent variables and the dependent variables, and obtaining a coefficient corresponding to each independent variable (electric meter current data) through big data.
Setting the independent variable as
Dependent variable is
Regression coefficient of deltajThere are N samples.
Y＝X·Δ (6)
Equation 3 is a matrix representation of dependent variable data, including T
The total current data of the transformer area at t moments; equation 4 is a matrix representation of the transformer area independent variable data, and includes T time current data of N ammeters; equation 5 is a matrix representation of the argument coefficients; equation 6 is a compact form of the linear regression model at all times. By means of linear fitting of the T-times data,and obtaining each linear coefficient delta, and constructing a linear regression model.
The invention provides a method for identifying electric meters in a transformer area, which comprises the following steps in combination with fig. 1:
s1, constructing a transformer area total current model with currents of all electric meters in a transformer area as independent variables, wherein Y is X.delta;
s2, collecting the current of each ammeter in a plurality of groups of distribution areas, and solving a total current model of the distribution areas;
the collection mode can adopt the power line carrier communication to obtain the current data of each ammeter. The electric meters in the district can be obtained through a list of electric meters in the district, but the list may not be accurate and comprises electric meters which are not in the district.
S3, removing the independent variable of which the regression coefficient absolute value exceeds the second threshold value, deleting the independent variable as a non-local electric meter, and returning to the step S1 to update the total current model of the transformer area.
And (4) carrying out physical model rationality inspection, under a normal condition, because some electric meter loads contribute to the total current, the electric meter loads are divided into strong and weak points and positive and negative points, under a normal condition, the electric meter loads are not consistent with the physical model under the condition of strong load, need to be preferentially removed, and are suspected to be non-local electric meter loads. The second threshold value may be selected, for example, between 3 and 5.
S4, adopting significance test, deleting the ammeter corresponding to the independent variable with the significance less than the first threshold value as the ammeter in the non-local district, and returning to the step S2 to update the total current model of the district; and if the independent variable with the significance smaller than the first threshold value does not exist, taking the residual independent variable corresponding to the electric meter as the local electric meter.
Performing significance test, calculating t values of respective variables by using a t test method, if an independent variable with the t value smaller than a first threshold exists, deleting the electric meter corresponding to the independent variable with the t value smaller than the first threshold as a non-local electric meter, and returning to the step S1 to update the total current model of the transformer area; and if the independent variable with the t value smaller than the first threshold value does not exist, taking the meters corresponding to the rest independent variables as local electric meters.
And (5) performing variable significance test, namely t test. the t test is to test whether the influence of each independent variable on the dependent variable is significant, if the influence of a certain independent variable is not significant and is considered as the electric meter load of the local area, the independent variable should be removed from the equation, and a simpler equation is rebuilt.
The first threshold value can be set to be 0.8-1.2, and tests prove that under the t value, regression coefficients corresponding to the remaining variables are between 0.95 and 1.05 and are close to 1, and the significant influence is achieved.
If the electric meters in the region are considered to possibly exist in the region or electric meter screening is carried out, electric meter identification in the region can be started. In one embodiment, the total power generation amount W1 of the district per unit time, the sum W2 of the power consumption measured by each electric meter in the district, if W1 is less than W2, the situation that the electric meters which are not in the district are counted in the district can be obtained, if (W2-W1)/W1 exceeds a third threshold value, the electric meter identification in the district is started, and the third threshold value is 2% -20%.
Another aspect of the present invention provides a method for determining a distribution area to which an electricity meter belongs, which includes, with reference to fig. 2:
s100, assuming that a plurality of electric meters needing to be judged belong to a certain area;
s200, constructing a total current model of the transformer area by taking the current of each electric meter in the transformer area including a plurality of electric meters needing to judge the attribution as an independent variable, wherein Y is X.delta;
s300, collecting the current of each ammeter in a plurality of groups of distribution areas, and solving a total current model of the distribution areas;
the collection mode can adopt the power line carrier communication to obtain the current data of each ammeter.
S400, calculating t values of respective variables by adopting a t test method, if an independent variable with the t value smaller than a first threshold exists, deleting the electric meter corresponding to the independent variable with the t value smaller than the first threshold as a non-local electric meter, and returning to the step S100 to update the total current model of the transformer area; and if the independent variable with the t value smaller than the first threshold value does not exist, checking whether the independent variables of the electric meters of the attribution are remained or not, if so, belonging to the distribution area, otherwise, not belonging to the distribution area.
The first threshold value can be set to be 0.8-1.2, and tests prove that under the t value, regression coefficients corresponding to the remaining variables are between 0.95 and 1.05 and are close to 1, and the significant influence is achieved.
In one embodiment, after electric meters in a region are removed by adopting an electric meter identification method in the region, the possible region is judged by adopting a method for judging the region to which the electric meter belongs. Usually, the district to which the electricity meter belongs is close to the geographical position of the electricity meter, so that the distance factor is considered, the district to which the district belongs is searched, and the district with the close distance is preferentially judged, for example, another transformer district in the same district.
In another embodiment, for the electric meters to be added in a certain area, the method for judging the area to which the electric meters belong is adopted for judging, and the form is updated after the electric meters belong to the area.
In summary, in the method for identifying the electric meters in the transformer area and the method for judging the transformer area to which the electric meters belong, the high-speed power line carrier collects the current data of the electric meters, and the transformer area total current model is established by means of the multiple linear regression analysis theory. On one hand, the method for identifying the electric meters in the transformer area is provided based on the model, compared with a power frequency distortion method, the method can be processed by pure software, is convenient to realize, compared with the networking method only through power line carrier communication, the method can eliminate the electric meters in suspicious non-transformer areas in the networking electric meters, and improves the transformer area identification rate; on the other hand, the method for judging the transformer area to which the electric meter belongs is provided based on the model, whether the electric meter belongs to the assumed transformer area or not is accurately identified, matching of the electric meter and the transformer area is achieved, identification accuracy is high, and operation is convenient. According to the invention, after the electric meters in the non-local area are removed, the area to which the electric meters belong can be quickly searched by using a method for judging the area to which the electric meters belong, and an accurate area-to-area relationship is established. The error identified by the method for identifying the electric meters in the distribution area and the method for judging the distribution area to which the electric meters belong is less than or equal to 5 percent.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. An identification method for electric meters in a transformer area is characterized by comprising the following steps:
s1, constructing a transformer area total current model taking the current of each ammeter in the transformer area as an independent variable;
s2, collecting the current of each ammeter in a plurality of groups of distribution areas, and solving a total current model of the distribution areas;
s3, carrying out significance test, deleting the electric meters corresponding to the independent variables with the significance smaller than the first threshold value as the electric meters in the non-local district, and returning to the step S1 to update the total current model of the district; and if the independent variable with the significance smaller than the first threshold value does not exist, taking the residual independent variable corresponding to the electric meter as the local electric meter.
2. A method for judging a region to which an ammeter belongs is characterized by comprising the following steps:
s100, assuming that a plurality of electric meters needing to be judged belong to a certain area;
s200, constructing a total current model of the transformer area by taking the current of each electric meter in the transformer area including a plurality of electric meters needing to judge the attribution as an independent variable;
s300, collecting the current of each ammeter in a plurality of groups of distribution areas, and solving a total current model of the distribution areas;
s400, carrying out significance test, deleting the electric meters corresponding to the independent variables with the significance smaller than the first threshold value as the electric meters in the non-local district, and returning to the step S100 to update the total current model of the district; and if the independent variable with the significance smaller than the first threshold value does not exist, checking whether the independent variables of the electric meters of the attribution are remained or not, if so, belonging to the distribution area, otherwise, not belonging to the distribution area.
3. A method according to claim 1 or 2, characterized in that the total current model of the platform is:
Y＝X·Δ
x is the current of each ammeter in the transformer areaThe matrix is a matrix of a plurality of matrices,
△ is a matrix of regression coefficients for the matrix,
wherein
The current collected at the T moment for the kth ammeter, T is the total number of the sampling groups, N is the total number of the ammeters in the transformer area, and deltajThe regression coefficient of the current collected at the time t of the jth ammeter.
4. The method of claim 1, wherein before the significance test, the method further comprises removing the independent variable with the regression coefficient absolute value exceeding the second threshold value, deleting the independent variable as a non-local electric meter, and returning to update the total current model of the transformer area.
5. The method of claim 4, wherein the second threshold is 3-5.
6. The method as claimed in claim 1, wherein the step S1 is preceded by obtaining a total power generation amount W1 per unit time of the bay, a sum W2 of power consumptions measured by meters in the bay, and proceeding to the step S1 if (W2-W1)/W1 exceeds a third threshold.
7. The method of claim 6, wherein the third threshold is 2% to 20%.
8. The method according to claim 1 or 2, wherein the significance test is performed by a t-test method, and the t value of each variable is compared with the first threshold value, and the first threshold value is 0.8-1.2.
9. The method of claim 1, wherein after the electric meter in the non-local area is deleted, other areas which may belong to the area are searched in the area range, and the area to which the electric meter belongs is determined.
10. The method of claim 9, wherein the method of claim 2 is used to determine the region to which the electricity meter belongs by searching for other regions to which electricity meters may belong within the region.
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