CN115639517B

CN115639517B - Method, device and equipment for identifying out-of-tolerance electric energy meter based on power consumption adjustment amplitude

Info

Publication number: CN115639517B
Application number: CN202211587951.4A
Authority: CN
Inventors: 宋洋; 张佳民; 郝跃红
Original assignee: Beijing Zhixiang Technology Co Ltd
Current assignee: Beijing Zhixiang Technology Co Ltd
Priority date: 2022-12-12
Filing date: 2022-12-12
Publication date: 2023-04-07
Anticipated expiration: 2042-12-12
Also published as: CN115639517A

Abstract

The invention provides a method, a device and equipment for identifying an out-of-tolerance electric energy meter based on power consumption adjustment amplitude, belonging to the technical field of electric energy metering, wherein the method comprises the following steps: determining a target adjustment range of the power consumption of each sub-meter based on the power consumption data of the plurality of electric energy meters, a plurality of preset adjustment ranges of the power consumption and a misalignment model aiming at any sub-meter in the plurality of electric energy meters in the platform area; updating the target adjustment range of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment range of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating; determining a second fitting residual error of each sub-meter based on the updated target adjustment amplitude of each sub-meter, the power consumption data of the plurality of electric energy meters and the misalignment model; and identifying out-of-tolerance electric energy meters in the plurality of electric energy meters based on the second fitting residual of each sub-meter. The out-of-tolerance electric energy meter identification efficiency and accuracy based on the power consumption adjustment range in the scheme are high.

Description

Method, device and equipment for identifying out-of-tolerance electric energy meter based on power consumption adjustment amplitude

Technical Field

The invention relates to the technical field of electric energy metering, in particular to an out-of-tolerance electric energy meter identification method, device and equipment based on power consumption adjustment amplitude.

Background

With the continuous improvement of the automatic power information acquisition function in China, the intelligent electric energy meter is widely applied. The performance of the intelligent electric energy meter directly influences the accuracy of electric quantity metering, and the over-tolerance electric energy meter monitoring system detects that the running electric energy meter is out of compliance, namely over-tolerance, so that a power grid company can replace the electric energy meter in time to reduce loss to the maximum extent.

The existing ultra-poor electric energy meter monitoring system mainly comprises a step of constructing an inaccurate model by collecting electric quantity and voltage and other electric data of a general meter and a user electric energy meter to solve, and an ultra-poor electric energy meter is obtained based on line loss.

Disclosure of Invention

The invention provides a method, a device and equipment for identifying an out-of-tolerance electric energy meter based on power consumption adjustment amplitude, which are used for solving the defect of low efficiency in the prior art and realizing the out-of-tolerance electric energy meter identification method with high efficiency.

The invention provides an out-of-tolerance electric energy meter identification method based on power consumption adjustment amplitude, which comprises the following steps:

aiming at any sub-meter in a plurality of electric energy meters in a platform area, determining a target adjustment range of the electric energy consumption of the sub-meter based on the electric energy data of the electric energy meters, a plurality of preset adjustment ranges of the electric energy consumption and a misalignment model;

updating the target adjustment range of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment range of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating;

determining a second fitting residual of each sub-meter based on the updated target adjustment amplitude of each sub-meter, the power consumption data of the plurality of electric energy meters and the misalignment model;

and identifying out-of-tolerance electric energy meters in the plurality of electric energy meters based on the second fitting residual of each sub-meter.

According to the identification method of the out-of-tolerance electric energy meter based on the adjustment range of the power consumption, which is provided by the invention, the target adjustment range of the power consumption of the sub-meters is determined based on the power consumption data of the electric energy meters, the preset adjustment ranges of the power consumption and the misalignment model, and the identification method comprises the following steps:

respectively determining a third fitting residual corresponding to each adjusting amplitude based on the power consumption data of the electric energy meters, at least three preset adjusting amplitudes and the misalignment model;

constructing a plurality of coordinate points on a two-dimensional plane based on each adjustment amplitude and the root-mean-square of a third fitting residual corresponding to each adjustment amplitude, and selecting a target intersection point from intersection points of connecting lines among the plurality of coordinate points and an abscissa; the abscissa of the coordinate point is the adjustment amplitude, and the ordinate is the root mean square of the third fitting residual error;

and taking the adjustment amplitude corresponding to the target intersection point as the target adjustment amplitude of the power consumption.

According to the method for identifying the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude, the target intersection point is selected from intersection points of connecting lines among a plurality of coordinate points and an abscissa, and the method comprises the following steps:

acquiring a plurality of first connecting lines between adjacent coordinate points in the plurality of coordinate points and a plurality of second connecting lines formed by intersection points of the first connecting lines and the abscissa axis;

determining a slope of each of the first links and each of the second links;

determining the target intersection point based on the slope of each of the first links and each of the second links.

According to the method for identifying the out-of-tolerance electric energy meter based on the adjustment range of the power consumption, the number of the preset adjustment range is three, the number of the plurality of coordinate points is three, the plurality of coordinate points comprise a first coordinate point, a second coordinate point and a third coordinate point, and the target intersection point is determined based on the slope of each first connecting line and each second connecting line, and the method comprises the following steps:

calculating a first slope ratio using the following equation (1)

：

Wherein the content of the first and second substances,

the slope of a first connecting line between the first coordinate point and the adjacent second coordinate point;

the slope of a second connecting line between a first intersection point and a third coordinate point is obtained, and the first intersection point is the intersection point of the first connecting line and the abscissa axis;

calculating a second slope ratio using the following equation (2)

：

Wherein the content of the first and second substances,

the slope of a first connecting line between the second coordinate point and the adjacent third coordinate point;

the slope of a second connecting line between a second intersection point and the first coordinate point is set, and the second intersection point is the intersection point of the first connecting line and the abscissa axis;

and taking the intersection point corresponding to the minimum value in the first slope ratio and the second slope ratio as the target intersection point.

According to the identification method of the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude, provided by the invention, the target adjustment amplitude of the power consumption of each sub-meter is updated based on the first fitting residual error of each sub-meter, so as to obtain the updated target adjustment amplitude of each sub-meter, and the identification method comprises the following steps of:

generating a target coordinate point based on the abscissa of the target intersection point and the root-mean-square of the first fitting residual for any of the sub-tables;

updating the first coordinate point, the second coordinate point and the third coordinate point based on the target coordinate point to obtain a first coordinate point, a second coordinate point and a third coordinate point after updating;

and determining a target intersection point based on the updated first coordinate point, the updated second coordinate point and the updated third coordinate point, and taking an adjustment amplitude corresponding to the target intersection point as an updated target adjustment amplitude of the sub-table.

According to the identification method of the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude, the first coordinate point, the second coordinate point and the third coordinate point are updated based on the target coordinate point, and the updated first coordinate point, the updated second coordinate point and the updated third coordinate point are obtained, and the identification method comprises the following steps:

when the target intersection point is the first intersection point, taking any one of the first coordinate point and the second coordinate point as an updated first coordinate point, and taking the target coordinate point as an updated second coordinate point; taking the third coordinate point as the updated third coordinate point;

taking the first coordinate point as the updated first coordinate point when the target intersection point is the second intersection point; and taking the target coordinate point as the updated second coordinate point, and taking any one of the second coordinate point and the third coordinate point as an updated third coordinate point.

According to the identification method of the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude, before generating the target coordinate point based on the abscissa of the target intersection point and the root-mean-square of the first fitting residual, the method further comprises the following steps:

determining a reference fit residual based on the power usage data for the plurality of power meters and the misalignment model;

aiming at any one of the sub-tables, obtaining the root mean square of the first fitting residual error and the absolute value of a first difference value of the root mean square of the reference fitting residual error;

generating a target coordinate point based on the abscissa of the target intersection point and the root-mean-square of the first fitting residual, including:

taking the abscissa of the target intersection point as the abscissa of the target coordinate point, and taking the absolute value of the first difference value as the ordinate of the target coordinate point;

the identifying, based on the second fitted residual for each sub-meter, out-of-tolerance electric energy meters of the plurality of electric energy meters comprises:

aiming at any one of the sub-tables, obtaining the root mean square of the second fitting residual and the absolute value of a second difference value of the root mean square of the reference fitting residual;

and determining the electric energy meter with the minimum absolute value of the second difference value as a super-difference meter.

According to the method for identifying the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude, which is provided by the invention, the method further comprises the following steps:

for any of the sub-tables, determining the first fit residual using equation (3) as follows:

wherein, the first and the second end of the pipe are connected with each other,

is a first

The second fitted residual for each sampling period,

is as follows

The statistical line loss for each sampling period,

is a first

The calculated line loss for each sampling period,

，

；

wherein the content of the first and second substances,

for the station master table in the plurality of electric energy meters

Of a sampling periodA power supply amount measurement value;

for dividing the meter into a plurality of electric energy meters

In the first place

The power consumption of the current sub-meter in the plurality of electric energy meters is adjusted based on the target adjustment amplitude before updating, the power consumption of other sub-meters is unchanged,

is a sub-meter

The relative error of (a) is determined,

is the relative error of the table area general table,

the total number of sub-meters in the plurality of electric energy meters,

is a constant number of times, and is,

is the first stage area

Line loss per sampling period.

The invention also provides an out-of-tolerance electric energy meter identification device based on the power consumption adjustment amplitude, which comprises the following steps:

the system comprises a determining module, a calculating module and a calculating module, wherein the determining module is used for determining a target adjusting amplitude of the power consumption of each sub-meter according to the power consumption data of the plurality of electric energy meters, a plurality of preset adjusting amplitudes of the power consumption and a misalignment model aiming at any sub-meter in the plurality of electric energy meters in a platform area;

the processing module is used for updating the target adjustment amplitude of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment amplitude of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating;

the determining module is further configured to determine a second fitting residual of each sub-meter based on the updated target adjustment amplitude of each sub-meter, the power consumption data of the plurality of electric energy meters, and the misalignment model;

the processing module is further configured to identify out-of-tolerance electric energy meters of the plurality of electric energy meters based on the second fitting residuals of each sub-meter.

The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the program to realize the method for identifying the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude.

The present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method for identifying an out-of-tolerance electric energy meter based on a magnitude of power usage adjustment as described in any of the above.

The invention also provides a computer program product, which comprises a computer program, and when the computer program is executed by a processor, the method for identifying the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude is realized.

The invention provides a method, a device and equipment for identifying out-of-tolerance electric energy meters based on power consumption adjustment amplitude, which are used for determining the target adjustment amplitude of the power consumption of sub-meters on the basis of power consumption data of a plurality of electric energy meters, a plurality of preset adjustment amplitudes of the power consumption and a misalignment model aiming at any sub-meter in a plurality of electric energy meters in a distribution area; updating the target adjustment range of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment range of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating; the power consumption is adjusted based on the adjustment ranges of the multiple power consumption, an initial target adjustment range is determined, the target adjustment range is further corrected, a proper target adjustment range is obtained, and then a second fitting residual error of each sub-table is determined based on the updated target adjustment range, the updated power consumption data and the parameter information of the misalignment model; therefore, the out-of-tolerance electric energy meters in the plurality of electric energy meters can be identified based on the second fitting residual of each sub-meter, the efficiency is high, and the accuracy is high.

Drawings

In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed for the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of a method for identifying an out-of-tolerance electric energy meter based on the adjustment range of power consumption according to the present invention;

FIG. 2 is a schematic diagram of a coordinate system of an out-of-tolerance electric energy meter identification method based on power consumption adjustment range according to the present invention;

FIG. 3 is a second schematic diagram of a coordinate system of the out-of-tolerance electric energy meter identification method based on the power consumption adjustment range according to the present invention;

FIG. 4 is a schematic structural diagram of an out-of-tolerance electric energy meter identification device based on the adjustment range of power consumption according to the present invention;

fig. 5 is a schematic structural diagram of an electronic device provided in the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

At present, an out-of-tolerance electric energy meter monitoring system is mainly used for building an out-of-tolerance model for solving by collecting electric quantity, voltage and other electric data of a master meter and a user electric energy meter, and obtaining the out-of-tolerance electric energy meter based on line loss. The method of the embodiment of the invention can realize the rapid detection of the out-of-tolerance electric energy meter by utilizing the adjustment range of the power consumption and the fitting residual error.

The following describes the technical solution of the embodiment of the present invention in detail with reference to the specific embodiments of fig. 1 to 5. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.

Fig. 1 is a schematic flow chart of an out-of-tolerance electric energy meter identification method based on the adjustment range of the power consumption provided by the invention. As shown in fig. 1, the method provided by this embodiment includes:

step 101, aiming at any branch meter in a plurality of electric energy meters in a platform area, determining a target adjustment range of the electric energy consumption of the branch meter based on the electric energy data of the plurality of electric energy meters, a plurality of preset adjustment ranges of the electric energy consumption and a misalignment model;

specifically, the distribution room comprises a plurality of electric energy meters, and the power consumption data such as voltage, current and electric quantity of the electric energy meters can be generally collected and recorded, so that the power consumption data of the electric energy meters can be obtained, and a misalignment model can be obtained based on the power consumption data of the electric energy meters.

The method comprises the steps of determining the root mean square of fitting residuals based on a plurality of preset adjusting ranges and misalignment models of power consumption, and constructing a two-dimensional plane and coordinate points on the plane based on each adjusting range and the corresponding root mean square of the fitting residuals so as to determine the target adjusting range of the power consumption.

Optionally, the method further comprises:

constructing a misalignment model based on the power consumption data of a plurality of electric energy meters in the platform area, and determining parameter information of the misalignment model;

the misalignment model may be constructed, for example, using the energy conservation theorem.

Optionally, in the distribution area, the amount of electricity is totaled

Shows that each sub-meter has active electric quantity

To express, sub-meter the reactive electric quantity

To express, sub-table the voltage in

To show, suppose there is

And (4) dividing the table.

The misalignment model can be constructed by using the following formula (5) based on data of a plurality of electric energy meters;

wherein the content of the first and second substances,

for the station master table in the plurality of electric energy meters

A power supply amount measurement value for each sampling period;

for dividing the meter into a plurality of electric energy meters

In the first place

The amount of power used for each sampling period,

is a sub-meter

The relative error of (a) is relatively small,

is the relative error of the table area general table,

the total number of the sub-meters in the plurality of electric energy meters,

is a constant number of times, and is,

is the first stage area

Line loss per sampling period.

For example, the sampling period may be in units of days.

Optionally, line loss term

The expansion is then:

wherein the content of the first and second substances,

is a sub-meter

In the first place

The voltage of one sampling period of time,

is a sub-meter

In the first place

The voltage of one sampling period is set to be,

in order to share the equivalent resistivity with each other,

is a sub-meter

And sub-meter

The equivalent resistance of the common branch therebetween,

and

respectively represent sub-tables

And sub-meter

Active power of, M denotes not sharing

The number of the partial tables.

For example, the sampling period may be in units of days.

Optionally, the parameter information of the misalignment model includes: relative error of each sub-table, relative error of the summary table, and line loss.

Solving the misalignment model to obtain parameter information of the misalignment model, e.g. parameters in the solution formula (5)

、

、

And the like.

102, updating the target adjustment amplitude of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment amplitude of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating;

specifically, based on the target adjustment amplitude of each sub-meter obtained in step 101 and the power consumption data of the plurality of electric energy meters, a first fitting residual error of each sub-meter is obtained;

optionally, the power consumption data of the plurality of electric energy meters, the target adjustment range of the power consumption of each sub-meter, and the parameter information of the misalignment model are used to obtain a first fitting residual error of the power consumption of each sub-meter by using the misalignment model.

For example, the first fit residual is calculated using the following equation:

wherein the content of the first and second substances,

is as follows

The fitted residual of the day is the sum of the days,

is a first

The statistical line loss of the antenna is calculated,

is as follows

Calculating line loss of the antenna, wherein formulas for calculating the line loss and the line loss are respectively as follows:

and

. Thus, the final result of the first fit residual is:

wherein the content of the first and second substances,

for the station master table in the plurality of electric energy meters

A power supply amount measurement value for each sampling period;

for dividing the meter into a plurality of electric energy meters

In the first place

The power consumption of the current sub-meter in the plurality of electric energy meters is adjusted based on the preset adjusting amplitude, the power consumption of other sub-meters is unchanged,

is a sub-meter

The relative error of (a) is determined,

is the relative error of the table area summary table,

the total number of the sub-meters in the plurality of electric energy meters,

is a constant number of times, and is,

is the first stage area

Line loss per sampling period;

for any partial table, that is, when the first fitting residual of the partial table is calculated, the power consumption of the partial table is adjusted based on the target adjustment range, and then the adjusted power consumption is substituted into the formula (3) to obtain the first fitting residual of the partial table.

Further, an updated target adjustment amplitude of each sub-table is obtained based on the first fitting residual of each sub-table and the target adjustment amplitude obtained in step 101, for example, a two-dimensional plane and a new coordinate point on the plane are constructed based on the target adjustment amplitude obtained in step 101 and the root mean square of the first fitting residual, and then the updated target adjustment amplitude is determined.

103, determining a second fitting residual error of each sub-meter based on the updated target adjustment amplitude of each sub-meter, the power consumption data of the plurality of electric energy meters and the misalignment model;

specifically, for example, for each sub-meter, the amount of electricity used for the sub-meter is adjusted based on the target adjustment range of the amount of electricity used for the sub-meter (for example, for the amount in the formula (3))

The updated target adjustment amplitude is added to the original value of the power consumption of the branch table, for example, if the updated target adjustment amplitude is a negative value, the updated target adjustment amplitude is reduced), and at this time, the power consumption of other branch tables is not adjusted, and second fitting residuals of a plurality of sampling periods are calculated. The calculation process of the second fitting residual is similar to that of the first fitting residual, and is not repeated here.

And 104, identifying out-of-tolerance electric energy meters in the plurality of electric energy meters based on the second fitting residual of each sub-meter.

Specifically, for example, the root mean square of the fitting residuals of the multiple sampling periods is calculated, and the out-of-tolerance electric energy meter is identified based on the root mean square of the second fitting residuals corresponding to each sub-meter, for example, the sub-meter corresponding to the smallest root mean square is identified as the out-of-tolerance electric energy meter.

In the method of this embodiment, for any sub-meter in a plurality of electric energy meters in a distribution area, a target adjustment range of the electric energy consumption of the sub-meter is determined based on the electric energy data of the plurality of electric energy meters, a plurality of preset adjustment ranges of the electric energy consumption and a misalignment model; updating the target adjustment amplitude of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment amplitude of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating; the power consumption is adjusted based on the adjustment ranges of the multiple power consumption, an initial target adjustment range is determined, the target adjustment range is further corrected, a proper target adjustment range is obtained, and then a second fitting residual error of each sub-table is determined based on the updated target adjustment range, the updated power consumption data and the parameter information of the misalignment model; therefore, the out-of-tolerance electric energy meters in the plurality of electric energy meters can be identified based on the second fitting residual of each sub-meter, the efficiency is high, and the accuracy is high.

Alternatively, step 102 may be implemented as follows:

respectively determining a third fitting residual corresponding to each adjustment amplitude based on the power utilization data of the sub-table, at least three preset adjustment amplitudes and parameter information of the misalignment model;

constructing a plurality of coordinate points on a two-dimensional plane based on each adjustment amplitude and the root mean square of a third fitting residual corresponding to each adjustment amplitude, and selecting a target intersection point from intersection points of connecting lines among the plurality of coordinate points and an abscissa; the abscissa of the coordinate point is the adjustment amplitude, and the ordinate is the root mean square of the second fitting residual error;

Specifically, one electric energy meter is selected

In the space of the adjustment range

Randomly selecting multiple values, and then comparing with the electric energy meter

The power consumption is adjusted separately (only adjustment is made each time the fitting residual is calculated)

The power consumption and other sub-meters are not adjusted), the power consumption and the error coefficients in the parameter information of the misalignment model are substituted into the misalignment model of the electric energy meter, third fitting residual errors of a plurality of sampling time periods are calculated, then the root mean square of the third fitting residual errors of the plurality of sampling time periods is calculated, and the root mean square of the third fitting residual errors corresponding to a plurality of adjustment ranges is obtained.

The process of calculating the third fitting residual is similar to the process of calculating the first fitting residual, and both the processes can be calculated by formula (3), which is not described herein again.

Optionally, the root mean square of the third fitted residual is determined using the following equation (4):

as to the number of sampling periods,

is shown as

A third fitted residual for each sampling period.

The process of calculating the root mean square of the first fitting residual and the second fitting residual is similar to the process of calculating the third fitting residual, and both the processes can be calculated by using the formula (4), and details are not repeated here.

Further, a two-dimensional plane is constructed and dotted: constructed to adjust amplitude

Root mean square of fitted residuals as abscissa

A two-dimensional plane of the ordinate, and generates a plurality of coordinate points, the number of which is the same as the number of adjustment amplitudes.

And selecting a target intersection point from intersection points of connecting lines among a plurality of coordinate points on the two-dimensional plane and the abscissa axis, and taking the adjustment amplitude corresponding to the target intersection point as the target adjustment amplitude of the power consumption.

Alternatively, selecting the target intersection may be achieved by:

determining a slope of each of the first links and each of the second links;

In particular, as shown in FIG. 2, for example

Is a first connecting line, and is used as a second connecting line,

for the second links, the target intersection point is determined based on the slope of each first link and each second link, e.g., based on the magnitude of the slope, the magnitude of the ratio, etc.

In the above embodiment, a plurality of coordinate points on the two-dimensional plane are constructed through each adjustment amplitude and the root mean square of the second fitting residual corresponding to each adjustment amplitude, and then the target adjustment amplitude is determined based on the slope of the connecting line between the coordinate points.

Alternatively, the preset number of adjustment ranges is three, the number of the plurality of coordinate points is three, the plurality of coordinate points includes a first coordinate point, a second coordinate point, and a third coordinate point, and the step of "determining the target intersection point based on the slope of each of the first lines and each of the second lines" may be implemented as follows:

calculating a first slope ratio using the following equation (1)

：

Wherein the content of the first and second substances,

is a first coordinate point and an adjacent second coordinate pointA slope of a first line between the points;

calculating a second slope ratio using the following equation (2)

：

Wherein the content of the first and second substances,

determining the target intersection point based on the first slope ratio and the second slope ratio.

Specifically, a first connecting line between two adjacent coordinate points (a first coordinate point and an adjacent second coordinate point) among the plurality of coordinate points is acquired

A first intersection with the abscissa axis, and a second line connecting the first intersection with the third coordinate point

Slope of (2)

And determining the first connection line

Slope of (2)

Calculating a first slope ratio

；

A first connecting line between two other adjacent coordinate points (a second coordinate point and an adjacent third coordinate point) in the plurality of coordinate points is acquired

A second intersection with the abscissa axis, a second line connecting the second intersection with the first coordinate point is determined

Slope of (2)

And determining the first connection line

Slope of (2)

Calculating a second slope ratio

；

Determining a target intersection point based on the first slope ratio and the second slope ratio; for example, an intersection corresponding to the minimum value of the two slope ratios is selected, or an intersection corresponding to a slope ratio smaller than a preset threshold is used as the target intersection.

Optionally, an intersection corresponding to a minimum value of the first slope ratio and the second slope ratio is taken as the target intersection.

In the above embodiment, the target adjustment amplitude is determined based on the first slope ratio and the second slope ratio, which is simple to implement and high in efficiency, so that the out-of-tolerance electric energy meter can be accurately and quickly determined based on the target adjustment amplitude.

Illustratively, selecting an electric energy meter

In adjusting the amplitude set

Randomly selecting three values, and recording as

，

And

then to the electric energy meter

After the power consumption is respectively adjusted, the power consumption and the error coefficient in the parameter information of the misalignment model are substituted into the misalignment model of the electric energy meter, a second fitting residual and the root mean square of the second fitting residual are calculated and respectively recorded as

，

And

。

constructing a two-dimensional plane and drawing points: constructed to adjust amplitude

Root mean square of fitted residuals as abscissa

Is a two-dimensional plane of ordinate, and generates three coordinate points

，

And

。

wherein the content of the first and second substances,

the root mean square of the reference fit residuals.

As shown in fig. 2, based on the three points obtained in the previous step

Sequentially marked as points from small to large

，

And

. For the first two points

And

building a connection

To obtain the slope

And intercept

Then, find

The point of intersection with the transverse axis, resulting in a point

Is marked as

Then calculate the point

And

formed connecting wire

Slope of (2)

Then calculating a first slope ratio

(ii) a Point-to-point

And

building a connection

To obtain the slope

And intercept

Then, find

The intersection point with the horizontal axis, the point is obtained

Is marked as

Then, find a point

And

formed connecting wire

Slope of (2)

Then calculating a second slope ratio

。

Get

Corresponding points on the abscissa, i.e. slave points

And point

The abscissa of the point corresponding to the selected point with smaller slope

The target adjustment range is used for adjusting the electricity consumption of the electric energy meter, namely the electricity consumption in the formula (3)

Adding

Then, the data of the adjusted electric energy meter and the data of other electric energy meters are substituted into the formula (3) to calculate a first fitting residual error root mean square

And calculating the absolute value of the root mean square difference, i.e.

，

The root mean square of the reference fit residuals.

Alternatively, step 102 may be implemented as follows:

generating a target coordinate point based on the abscissa of the target intersection point and the root-mean-square of the first fitting residual error for any sub-table;

updating the first coordinate point, the second coordinate point and the third coordinate point based on the target coordinate point to obtain the updated first coordinate point, the updated second coordinate point and the updated third coordinate point;

and determining a target intersection point based on the updated first coordinate point, the second coordinate point and the third coordinate point, and taking an adjustment amplitude corresponding to the target intersection point as an updated target adjustment amplitude of the sub-table.

Specifically, after the target intersection point is obtained, the abscissa of the target intersection point may be taken as the abscissa of the target coordinate point, the abscissa of the target intersection point is the target adjustment amplitude, that is, the target adjustment amplitude may be used to obtain a first fitting residual, and based on the root mean square of the first fitting residual, the ordinate of the target coordinate point, that is, the ordinate of the target coordinate point is obtained

。

Obtaining a first coordinate point, a second coordinate point and a third coordinate point after updating based on the target coordinate point; by using the method, a new target intersection point is determined based on the updated first coordinate point, the updated second coordinate point and the updated third coordinate point, and the adjustment amplitude corresponding to the new target intersection point is used as the updated target adjustment amplitude of the branch table.

Optionally, in a case where the target intersection point is the first intersection point, taking any one of the first coordinate point and the second coordinate point as an updated first coordinate point, and taking the target coordinate point as the updated second coordinate point; taking the third coordinate point as the updated third coordinate point;

Specifically, the target coordinate point is recorded as a point

If, if

From

That is, the target intersection is the first intersection

Then, then

Selecting the original source according to the final target adjustment amplitude right deviation

And

any one point is taken as a new point

Point of contact

As a new point

Point of contact

Keeping the original shape; for example as shown in FIG. 3

As a new point

Point of contact

As a new point

Point of contact

Keeping the same; if it is

From

That is, the target intersection is the second intersection

Then, then

Left deviation of the final target adjustment amplitude, point

Keeping the original sample unchanged and selecting the original sample

And

any one point is taken as a new point

Point of contact

As a new point

Continuing to perform the aforementioned process of determining the target adjustment range for the three newly obtained points to obtain an updated target adjustment range (e.g., fig. 3)

The corresponding abscissa), and a second fitted residual.

In the above embodiment, the target adjustment amplitude is corrected and updated to obtain a suitable target adjustment amplitude, so that the out-of-tolerance electric energy meter can be accurately identified.

Optionally, step 104 is preceded by:

determining a reference fitting residual error based on the power consumption data of the plurality of electric energy meters and the parameter information of the misalignment model;

step 104 may be specifically implemented as follows:

acquiring the root mean square of the first fitting residual and the absolute value of the difference value of the root mean square of the reference fitting residual;

aiming at any partial table, obtaining the root mean square of a first fitting residual error and the absolute value of a first difference value of the root mean square of the reference fitting residual error;

alternatively, step 104 may be implemented by:

aiming at any partial table, obtaining the root mean square of the second fitting residual error and the absolute value of a second difference value of the root mean square of the reference fitting residual error;

and determining the electric energy meter with the minimum absolute value of the second difference as the over-differential meter.

Aiming at any partial table, based on the updated target adjustment amplitude, a second fitting residual is obtained, and the absolute value of a second difference value of the root mean square of the second fitting residual and the root mean square of the reference fitting residual is obtained

。

Repeating the steps until each electric energy meter obtains one electric energy meter

，p=1,2,…,P；

The minimum electric energy meter is the over-tolerance electric energy meter, and the information of the over-tolerance electric energy meter is output.

It should be noted that, in the embodiment of the present invention, the above formula is only used as an example for description, and the misalignment model may also be simply modified, for example, multiplied by a certain coefficient, and added/subtracted by certain terms, which is not limited in the embodiment of the present invention.

Optionally, the electricity consumption data of the electric energy meter comprises electricity consumption data of a test period and electricity consumption data of a reference period, the test period and the reference period respectively comprise a plurality of sampling periods,

specifically, the multiple sampling periods of the electric energy meter monitoring system can be divided into reference periods

And a test period

Wherein the reference period may be, for example, temporally longThe test period may be a short period of time later, i.e., the reference period includes more sampling periods than the test period.

For example, a reference fit residual is determined based on the electricity data for the reference time period, and a first fit residual, a second fit residual, and a third fit residual are determined based on the electricity data for the test time period.

In the above embodiment, the power consumption of the electric energy meter is adjusted through the updated target amplitude adjustment, the root mean square of the second fitting residual is calculated, the root mean square of the second fitting residual is compared with the root mean square of the reference fitting residual before adjustment, a difference value is calculated, the minimum difference value is the super-difference meter, and the identification result is accurate.

The following describes the out-of-tolerance electric energy meter identification device based on the power consumption adjustment range provided by the invention, and the out-of-tolerance electric energy meter identification device based on the power consumption adjustment range described below and the above-described out-of-tolerance electric energy meter identification method based on the power consumption adjustment range can be referred to correspondingly.

Fig. 4 is a schematic structural diagram of an out-of-tolerance electric energy meter identification device based on the adjustment range of the power consumption. As shown in fig. 4, the over-tolerance electric energy meter identification apparatus based on the adjustment range of the power consumption provided by this embodiment includes:

a determining module 210, configured to determine, for any sub-meter in multiple electric energy meters in a platform area, a target adjustment range of the power consumption of the sub-meter based on the power consumption data of the multiple electric energy meters, multiple preset adjustment ranges of the power consumption, and a misalignment model;

the processing module 220 is configured to update the target adjustment range of the power consumption of each sub-meter based on the first fitting residual of each sub-meter, so as to obtain an updated target adjustment range of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating;

the determining module 210 is further configured to determine a second fitting residual of each sub-meter based on the updated target adjustment amplitude of each sub-meter, the power consumption data of the plurality of electric energy meters, and the misalignment model;

the processing module 220 is further configured to identify an out-of-tolerance electric energy meter of the plurality of electric energy meters based on the second fitting residual of each sub-meter.

Optionally, the determining module 210 is specifically configured to:

determining a slope of each of the first links and each of the second links;

Optionally, the number of the preset adjustment ranges is three, the number of the plurality of coordinate points is three, the plurality of coordinate points includes a first coordinate point, a second coordinate point, and a third coordinate point, and the determining module 210 is specifically configured to:

calculating a first slope ratio using the following equation (1)

：

Wherein the content of the first and second substances,

calculating a second slope ratio using the following equation (2)

：

Optionally, the determining module 210 is specifically configured to:

Optionally, the processing module 220 is further configured to:

determining a reference fitting residual based on the power consumption data of the plurality of electric energy meters and the parameter information of the misalignment model;

optionally, the processing module 220 is specifically configured to:

generating a target coordinate point based on the abscissa of the target intersection point and the root-mean-square of the first fitting residual for any of the branch tables;

and determining a target intersection point based on the updated first coordinate point, the second coordinate point and the third coordinate point, and taking an adjustment amplitude corresponding to the target intersection point as an updated target adjustment amplitude of the sublist.

Optionally, the processing module 220 is specifically configured to:

Optionally, the processing module 220 is further configured to:

optionally, the processing module 220 is specifically configured to:

and determining the electric energy meter with the minimum absolute value of the second difference as a super-difference meter.

Optionally, the parameter information of the misalignment model includes: relative error of each sub-meter, relative error of the general meter and line loss; a processing module 220, further configured to:

determining the first fit residual using equation (3) as follows:

wherein the content of the first and second substances,

is as follows

The second fitted residual for each sampling period,

is as follows

The statistical line loss for each sampling period,

is as follows

The calculated line loss for each sampling period,

，

；

wherein the content of the first and second substances,

for the station master table in the plurality of electric energy meters

A power supply amount measurement value for each sampling period;

for dividing the meter into a plurality of electric energy meters

In the first place

The power consumption of the current sub-meter in the plurality of electric energy meters is adjusted based on the target adjustment amplitude before updating, the power consumption of other sub-meters is not adjusted,

is a sub-meter

The relative error of (a) is relatively small,

is the relative error of the table area general table,

the total number of the sub-meters in the plurality of electric energy meters,

is a constant number of times, and is,

is the first stage area

Line loss per sampling period;

determining a root mean square of the first fit residual using equation (4) as follows:

wherein the content of the first and second substances,

is the number of sampling periods and is,

denotes the first

A first fitted residual for each sampling period.

The apparatus of this embodiment may be configured to execute the method in any embodiment of the foregoing method embodiments, and the specific implementation process and technical effects are the same as those in the method embodiments.

Fig. 5 illustrates a physical structure diagram of an electronic device, which may include, as shown in fig. 5: a processor (processor) 810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may call logic instructions in the memory 830 to perform a power usage adjustment magnitude-based out-of-tolerance power meter identification method, the method comprising:

aiming at any sub-meter in a plurality of electric energy meters in a platform area, determining a target adjustment amplitude of the electric energy consumption of the sub-meter based on the electric energy data of the electric energy meters, a plurality of preset adjustment amplitudes of the electric energy consumption and a misalignment model;

updating the target adjustment amplitude of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment amplitude of each sub-meter; the first fitting residual is obtained based on the target adjustment amplitude before updating;

identifying out-of-tolerance electric energy meters of the plurality of electric energy meters based on the second fitted residuals of each sub-meter.

In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, the present invention further provides a computer program product, where the computer program product includes a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, a computer can execute the method for identifying an out-of-tolerance electric energy meter based on the adjustment magnitude of the power consumption, where the method includes:

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, the computer program being implemented by a processor to perform the method for identifying a power consumption adjustment range-based out-of-tolerance electric energy meter provided by the above methods, the method including:

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An out-of-tolerance electric energy meter identification method based on power consumption adjustment amplitude is characterized by comprising the following steps:

respectively determining a third fitting residual corresponding to each adjustment amplitude based on at least three preset adjustment amplitudes of the power consumption data and the power consumption of a plurality of electric energy meters and a misalignment model aiming at any branch meter in a distribution area;

constructing a plurality of coordinate points on a two-dimensional plane based on each adjustment amplitude and the root-mean-square of a third fitting residual corresponding to each adjustment amplitude, and selecting a target intersection point from intersection points of connecting lines among the plurality of coordinate points and an abscissa; the abscissa of the coordinate point is the adjustment amplitude, and the ordinate is the root-mean-square of the third fitting residual error;

taking the adjustment amplitude corresponding to the target intersection point as the target adjustment amplitude of the power consumption;

the selecting a target intersection point from intersections of connecting lines between the plurality of coordinate points and the abscissa includes:

determining a slope of each of the first links and each of the second links;

determining the target intersection point based on the slope of each of the first lines and each of the second lines;

for any of the sub-tables, determining the second fitted residual using equation (3) as follows:

（3）

is the first->

A second fit residual, based on a number of sample periods>

Is the first->

The statistical line loss for each sampling period,

is the first->

Calculated line loss in multiple sampling periods>

，

；

Wherein the content of the first and second substances,

for a first zone summary table in the plurality of electric energy meters>

A power supply amount measurement value for each sampling period; />

For a sub-meter of the plurality of electric energy meters->

In the fifth or fifth place>

The power consumption of each sampling period, the current power consumption of the sub-meters in the electric energy meters is adjusted based on the updated target adjustment amplitude, and the power consumption of other sub-meters is unchanged and is/is changed>

Is a sub-table>

Relative error of->

For a relative error of the table section summary table->

For the total number of sub-meters in the plurality of electric energy meters, is based on the comparison result>

Is constant and is->

Is a first or second zone>

Line loss for each sampling period;

2. The method of claim 1, wherein the number of the preset adjustment ranges is three, the number of the plurality of coordinate points is three, the plurality of coordinate points includes a first coordinate point, a second coordinate point and a third coordinate point, and the determining the target intersection point based on the slope of each of the first connecting lines and each of the second connecting lines comprises:

calculating a first slope ratio using the following equation (1)

：

（1）

Wherein the content of the first and second substances,

the slope of a first connecting line between the first coordinate point and the adjacent second coordinate point; />

calculating a second slope ratio using the following equation (2)

：

（2）

Wherein the content of the first and second substances,

the slope of a first connecting line between the second coordinate point and the adjacent third coordinate point; />

3. The method for identifying the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude as claimed in claim 2, wherein the step of updating the target adjustment amplitude of the power consumption of each sub-meter based on the first fitting residual of each sub-meter to obtain the updated target adjustment amplitude of each sub-meter comprises the steps of:

updating the first coordinate point, the second coordinate point and the third coordinate point based on the target coordinate point to obtain an updated first coordinate point, an updated second coordinate point and an updated third coordinate point;

4. The method for identifying the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude as claimed in claim 3, wherein the updating the first coordinate point, the second coordinate point and the third coordinate point based on the target coordinate point to obtain the updated first coordinate point, the updated second coordinate point and the updated third coordinate point comprises:

5. The method for identifying the out-of-tolerance electric energy meter based on the power consumption adjustment amplitude as recited in claim 3, before generating the target coordinate point based on the abscissa of the target intersection point and the root-mean-square of the first fitting residual, further comprising:

6. The method for identifying the out-of-tolerance electric energy meter based on the adjustment amplitude of the power consumption according to any one of claims 1 to 5, characterized in that the method further comprises the following steps:

（3）

wherein the content of the first and second substances,

is the first->

A first fit residual, based on sample period->

Is the first->

The statistical line loss for each sampling period,

is the first->

A calculated loss of line for a number of sampling periods +>

，

；

Wherein the content of the first and second substances,

for a first zone summary table in the plurality of electric energy meters>

A power supply metering value for each sampling period; />

For a sub-meter of the plurality of electric energy meters->

At the fifth place>

The power consumption of each sampling period, the current power consumption of the sub-meters in the electric energy meters is adjusted based on the target adjustment amplitude before updating, and the power consumption of other sub-meters is not changed and is changed or combined>

Is a sub-table>

In a relative error of->

For relative errors in a table section summary>

For the total number of sub-meters in the plurality of electric energy meters, the device is arranged>

Is constant->

Is a first or second zone>

Line loss per sampling period.

7. The utility model provides an out-of-tolerance electric energy meter recognition device based on power consumption adjustment range which characterized in that includes:

the determining module is used for respectively determining a third fitting residual corresponding to each adjustment range according to power consumption data, at least three preset adjustment ranges of power consumption and a misalignment model of a plurality of electric energy meters in a distribution area;

determining a slope of each of the first links and each of the second links;

determining the target intersection point based on the slope of each of the first links and each of the second links;

（3）

wherein the content of the first and second substances,

is the first->

A second fitted residual, of sample periods, < >>

Is the first->

The statistical line loss for each sampling period,

is the first->

A calculated loss of line for a number of sampling periods +>

，

；/>

Wherein the content of the first and second substances,

for the station block summary table in the plurality of electric energy meters>

A power supply amount measurement value for each sampling period; />

For a sub-meter of the plurality of electric energy meters->

At the fifth place>

Is a branch table>

Relative error of->

For a relative error of the table section summary table->

Is constant and is->

For the first sampling period of the station areaLine loss;

8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the method for identifying an out-of-tolerance electric energy meter based on magnitude of power usage according to any one of claims 1 to 6.

9. A non-transitory computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for identifying a power usage adjustment based on a super-poor electric energy meter according to any one of claims 1 to 6.