Heavy load transformer area technology loss abnormity diagnosis method and system based on characteristic cutaway view

Abstract

The invention discloses a heavy load transformer area technology loss abnormity diagnosis method and system based on a characteristic cutaway view, and belongs to the technical field of line loss management. The method comprises the following steps: acquiring the power supply quantity and the line loss rate of the transformer area in the automatic meter reading system; calculating a transformer area average load rate according to the transformer area power supply amount, and screening out a heavy load transformer area by using the transformer area average load rate; drawing a characteristic cutaway view of the heavy load area according to the power supply quantity of the heavy load area and the line loss rate of the heavy load area; fitting the heavy load area characteristic cutaway view, and calculating the slope of the heavy load area characteristic cutaway view; and obtaining a technical loss abnormity diagnosis result of the heavy load transformer area according to the slope of the heavy load transformer area characteristic section view and the slope threshold value of the same type of heavy load transformer area. According to the heavy load area characteristic cutaway view provided by the invention, accurate judgment of the line loss abnormity of the heavy load area can be realized only through image analysis and data fitting.

Description

Technical Field

[0001] The present invention relates to the technical field of line loss management, and in particular, to a method and system for diagnosing abnormal technical losses in heavy-load power distribution areas based on characteristic sectional views. Background Art

[0002] The loss generated during the transmission of electric energy is called line loss. The magnitude of line loss is directly related to the economic interests of power companies. Therefore, line loss management has always been an important part of power grid work. There are differences in user types, the number of users, and line lengths in different power distribution areas, and the impact on line loss also varies. Different line loss management standards should be applied to different types of power distribution areas. Currently, the line loss management of power distribution areas basically adopts a "one-size-fits-all" model, using the same standard for all types of power distribution areas, which cannot accurately reflect the true situation of line loss in different power distribution areas, resulting in the failure to detect some power distribution areas with abnormal line loss.

[0003] Heavy-load power distribution areas generally have large loads and long transmission lines. The power loss caused by loose joints or large line impedance is high, which is an object that needs to be focused on. Currently, the extensive line loss management methods require parameters such as the low-voltage line network structure, conductor type, and wire diameter, which are difficult to obtain, and it is difficult to detect abnormal line loss in heavy-load power distribution areas. Therefore, a more accurate method for diagnosing abnormal line loss is needed to make full use of the measurement data of power distribution areas to determine abnormal line loss in heavy-load power distribution areas and help relevant staff formulate assessment indicators that conform to the actual situation. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a method and system for diagnosing abnormal technical losses in heavy-load power distribution areas based on characteristic sectional views, which can make full use of the measurement data of power distribution areas to achieve the diagnosis of abnormal line loss in heavy-load power distribution areas.

[0005] To achieve the above purpose, the present invention is implemented by the following technical solutions:

[0006] On the one hand, the present invention provides a method for diagnosing abnormal technical losses in heavy-load power distribution areas based on characteristic sectional views, including:

[0007] Obtain the power supply of the power distribution area and the line loss rate of the power distribution area in the automatic meter reading system;

[0008] Calculate the average load rate of the power distribution area according to the power supply of the power distribution area, and use the average load rate of the power distribution area to screen out heavy-load power distribution areas;

[0009] Draw a characteristic sectional view of the heavy-load power distribution area according to the power supply of the heavy-load power distribution area and the line loss rate of the heavy-load power distribution area;

[0010] Fit the characteristic sectional view of the heavy-load power distribution area and calculate the slope of the characteristic sectional view of the heavy-load power distribution area;

[0011] Based on the slope of the characteristic cross-sectional view of the overloaded substation area and the slope threshold of the same type of overloaded substation area, obtain the abnormal diagnosis result of the technical loss of the overloaded substation area.

[0012] Optionally, before calculating the average load rate of the substation area according to the power supply of the substation area, it further includes:

[0013] Delete the power supply of the substation area where the power supply is greater than the full-load power supply or the power supply is less than zero, and delete the line loss rate of the substation area where the line loss rate is greater than the upper limit threshold or the line loss rate is less than the lower limit threshold;

[0014] Calculate the change degree of the power supply of the substation area according to the power supply of the substation area. If the change degree of the power supply of the substation area is greater than the first preset value, the power supply of the substation area meets the conditions and continues with the abnormal diagnosis; otherwise, the power supply of the substation area does not meet the conditions and the power supply of the substation area is re-obtained.

[0015] Optionally, the calculation formula for the change degree of the power supply of the substation area is:

[0016] 。

[0017] Optionally, calculate the average load rate of the substation area according to the power supply of the substation area, and use the average load rate of the substation area to screen out the overloaded substation areas to obtain the power supply of the overloaded substation areas and the line loss rate of the overloaded substation areas, including:

[0018] The calculation formula for the average load rate of the substation area is:

[0019] ;

[0020] If there are N groups of data where the average load rate of the substation area is greater than the second preset value, then determine that the substation area is an overloaded substation area, and obtain the power supply of the overloaded substation area and the line loss rate of the overloaded substation area; where N≥5.

[0021] Optionally, according to the power supply of the overloaded substation area and the line loss rate of the overloaded substation area, draw a characteristic cross-sectional view of the overloaded substation area, including:

[0022] Taking the power supply of the overloaded substation area as the abscissa and the line loss rate of the overloaded substation area as the ordinate, draw a scatter plot to obtain the characteristic cross-sectional view of the overloaded substation area.

[0023] Optionally, use the least squares method to fit the characteristic cross-sectional view of the overloaded substation area and calculate the slope of the characteristic cross-sectional view of the overloaded substation area, including:

[0024] ;

[0025] ;

[0026] Wherein, represents the line loss rate of the overloaded substation area; Represents the power supply of the overloaded substation area; Represents the slope of the characteristic cross-sectional view of the overloaded substation area; Represents a constant; Represents the sum of squares of residuals of the overloaded substation area; Represents the measured value of the power supply of the overloaded substation area; Represents the measured value of the line loss rate of the overloaded substation area; Represents the total number of measured values of the power supply of the overloaded substation area and the total number of measured values of the line loss rate of the overloaded substation area;

[0027] For the sum of squares of residuals of the overloaded substation area Derivation is performed to obtain the slope of the characteristic cross-sectional view of the overloaded substation area that minimizes the sum of squares of residuals of the overloaded substation area The slope of the characteristic cross-sectional view of the overloaded substation area with the minimum value .

[0028] Optionally, the acquisition of the slope threshold of the overloaded substation area includes:

[0029] Obtain the power supply of the overloaded substation area and the line loss rate of the overloaded substation area of multiple overloaded substation areas of the same type;

[0030] Perform cluster analysis on the power supply of the overloaded substation area and the line loss rate of the overloaded substation area of multiple overloaded substation areas of the same type to obtain the slope threshold of the overloaded substation area.

[0031] Optionally, according to the slope of the characteristic cross-sectional view of the overloaded substation area and the slope threshold of the overloaded substation area, obtain the technical loss abnormal diagnosis result of the overloaded substation area, including:

[0032] If the slope of the characteristic cross-sectional view of the overloaded substation area is greater than the slope threshold of the overloaded substation area, there is a technical loss in the overloaded substation; otherwise, there is no technical loss in the overloaded substation.

[0033] In a second aspect, the present invention provides a technical loss abnormal diagnosis system for an overloaded substation area based on a characteristic cross-sectional view, including:

[0034] A data acquisition module that acquires the power supply of the substation area and the line loss rate of the substation area in the automated meter reading system;

[0035] A substation area screening module that calculates the average load rate of the substation area according to the power supply of the substation area, and uses the average load rate of the substation area to screen out the overloaded substation area to obtain the power supply of the overloaded substation area and the line loss rate of the overloaded substation area;

[0036] A cross-sectional view drawing module that draws a characteristic cross-sectional view of the overloaded substation area according to the power supply of the overloaded substation area and the line loss rate of the overloaded substation area;

[0037] A slope calculation module that fits the characteristic cross-sectional view of the overloaded substation area and calculates the slope of the characteristic cross-sectional view of the overloaded substation area;

[0038] An abnormal diagnosis module obtains the technical loss abnormal diagnosis result of the overloaded power distribution area according to the slope of the characteristic cross-sectional view of the overloaded power distribution area and the slope threshold of the same type of overloaded power distribution area.

[0039] In a third aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored. When the computer instructions are executed by a processor, the steps of the method described in the first aspect are implemented.

[0040] Compared with the prior art, the beneficial effects achieved by the present invention are as follows:

[0041] The characteristic cross-sectional view of the overloaded power distribution area proposed by the present invention does not require difficult-to-obtain parameters such as the low-voltage line network structure, conductor type, and wire diameter. Only through image analysis and data fitting, accurate judgment of the line loss abnormality in the overloaded power distribution area can be realized. It is more targeted and the judgment is more accurate. It can accurately locate the line loss abnormality in the overloaded power distribution area, has practical application value in engineering, can guide relevant personnel to formulate assessment indicators that conform to the actual situation, and provides effective support for timely discovering and treating line loss abnormal areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 The figure shows a schematic flow chart of the technical loss abnormal diagnosis method for the overloaded power distribution area based on the characteristic cross-sectional view in an embodiment of the present invention;

[0043] Figure 2 The figure shows the characteristic cross-sectional views of normal technical loss and abnormal technical loss in the overloaded power distribution area in an embodiment of the present invention;

[0044] Figure 3 The figure shows the characteristic cross-sectional view of the overloaded power distribution area in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific features in the embodiments of the present invention and the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. Without conflict, the technical features in the embodiments of the present invention and the embodiments can be combined with each other.

[0046] The term "and / or" only describes the associated relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " generally represents an "or" relationship between the associated objects before and after.

[0047] Embodiment 1

[0048] As Figure 1As shown in the figure, this embodiment introduces a method for diagnosing abnormal technical losses in heavy-load power supply areas based on characteristic sectional views, including the following steps:

[0049] Step 1: Obtain the power supply quantity and line loss rate data of the power supply area, specifically:

[0050] Obtain the power distribution area data for at least half a year from the automated meter reading system, including the power supply quantity and the line loss rate of the power supply area within a certain time T. The requirement for data over half a year is to ensure sufficient data volume and improve the accuracy of judgment;

[0051] Eliminate invalid data caused by reasons such as abnormal collection to avoid affecting subsequent calculations. Delete the power supply quantity of the power supply area where the power supply quantity is greater than the full-load power supply quantity or less than zero, and delete the line loss rate of the power supply area where the line loss rate is greater than 20% or less than -5%;

[0052] To ensure the accuracy of subsequent calculations, calculate the change degree of the power supply quantity of the power supply area according to the power supply quantity of the power supply area. It is required that the change degree of the power supply quantity of the power supply area data meets certain conditions. The definition of the change degree of the power supply quantity is as follows:

[0053] ;

[0054] The change degree of the power supply quantity of the power supply area is the change degree of the daily power supply quantity. If the change degree of the power supply quantity of the power supply area is greater than 2, the power supply quantity of the power supply area meets the conditions and continues with the abnormal diagnosis; otherwise, the power supply quantity of the power supply area does not meet the conditions, and the power supply quantity of the power supply area is re-obtained.

[0055] Step 2: Determine whether the power supply area is a heavy-load power supply area, specifically:

[0056] Calculate the average load rate of the power supply area according to the power supply quantity of the power supply area, and determine whether the power supply area is a heavy-load power supply area through the average load rate of the power supply area. The calculation formula for the average load rate of the power supply area is:

[0057] ;

[0058] Use the average load rate of the power supply area to screen out heavy-load power supply areas. If there are N groups of data with the average load rate of the power supply area greater than 20%, it is determined that the power supply area is a heavy-load power supply area, and the power supply quantity and line loss rate of the heavy-load power supply area are obtained; where N≥5.

[0059] In a specific embodiment, the daily average load rate is used for determination. If the daily average load rate of a certain power supply area exceeds 20% for more than five groups, it is determined that the power supply area is a heavy-load power supply area.

[0060] Step 3: Draw a characteristic sectional view of the line loss of the heavy-load power supply area: Draw a scatter plot with the power supply quantity of the heavy-load power supply area as the abscissa and the line loss rate of the heavy-load power supply area as the ordinate.

[0061] Step 4: Determine the abnormal line loss of the heavily loaded substation area based on the sectional view of the line loss characteristics of the heavily loaded substation area, specifically as follows:

[0062] There are obvious differences between the sectional view of the line loss characteristics of the heavily loaded substation area with normal line loss and that of the heavily loaded substation area with abnormal line loss. Based on the sectional view of the characteristics, determine whether the line loss of the heavily loaded substation area is normal through image recognition, that is, calculate the slope value of the sectional view of the line loss characteristics of a single heavily loaded substation area, analyze the sectional views of the line loss characteristics of the same type of heavily loaded substation areas to obtain the upper limit value of the slope of the sectional view of the line loss characteristics of this type of heavily loaded substation area, and compare the two to determine whether there is abnormal line loss in the heavily loaded substation area, that is, determine whether there is technical loss in the heavily loaded substation area;

[0063] The slope value of the sectional view of the characteristics of the heavily loaded substation area is obtained by fitting the data of the heavily loaded substation area. Use the least squares method to fit the power supply of the heavily loaded substation area and the line loss rate of the heavily loaded substation area. The form of the fitting function is as follows:

[0064] ;

[0065] Substitute the measured values of the power supply and the line loss rate into the following formula to calculate the sum of the squares of the residuals of all heavily loaded substation areas:

[0066] ;

[0067] Among them, represents the line loss rate of the heavily loaded substation area; represents the power supply of the heavily loaded substation area; represents the slope of the sectional view of the characteristics of the heavily loaded substation area; represents a constant; represents the sum of the squares of the residuals of the heavily loaded substation area; represents the measured value of the power supply of the heavily loaded substation area; represents the measured value of the line loss rate of the heavily loaded substation area; represents the total number of measured values of the power supply of the heavily loaded substation area and the total number of measured values of the line loss rate of the heavily loaded substation area;

[0068] Derive the sum of the squares of the residuals of the heavily loaded substation area to obtain the slope of the sectional view of the characteristics of the heavily loaded substation area that minimizes the sum of the squares of the residuals ;

[0069] Analyze the sectional views of the line loss characteristics of the same type of heavily loaded substation areas to obtain the upper limit value of the slope of the sectional view of the line loss characteristics of this type of heavily loaded substation area, that is, perform cluster analysis on the power supply of the heavily loaded substation area and the line loss rate of the heavily loaded substation area of multiple same type of heavily loaded substation areas to obtain the slope threshold ;

[0070] After clustering and analyzing the data of more than six thousand overloaded power distribution areas in the whole province, considering the influence of the number of users, user types and power supply radius of different power distribution areas on the line loss of the power distribution area, it is necessary to classify different power distribution areas according to their characteristics. It is found that the overloaded power distribution areas are mainly concentrated in rural commercial-residential mixed areas and residential communities. Taking the rural commercial-residential mixed type power distribution area as an example, data analysis is carried out to obtain the slope threshold of the overloaded power distribution area. The slope threshold of the rural commercial-residential mixed type power distribution area is expressed as:

[0071] ;

[0072] Among them, represents the slope threshold of the rural commercial-residential mixed type power distribution area; represents the number of users in the rural commercial-residential mixed type power distribution area;

[0073] If the slope of the characteristic cross-sectional view of the overloaded power distribution area is greater than the slope threshold of the overloaded power distribution area, there is a technical loss in the overloaded power distribution area; otherwise, there is no technical loss in the overloaded power distribution area. That is, if , it is determined that there is an abnormal line loss and a technical loss in the overloaded power distribution area; if , it is determined that there is no abnormal line loss and no technical loss in the overloaded power distribution area.

[0074] This embodiment proposes the concept of the characteristic cross-sectional view of the line loss of the overloaded power distribution area, which is different from the usual theoretical calculation methods. It does not require difficult-to-obtain parameters such as the low-voltage line network structure, conductor type, and wire diameter. Only through image analysis and data fitting, the accurate judgment of the abnormal line loss of the overloaded power distribution area can be realized.

[0075] Embodiment 2

[0076] On the basis of Embodiment 1, this embodiment introduces an example of a method for diagnosing abnormal technical losses in overloaded power distribution areas based on the characteristic cross-sectional view, including:

[0077] There are obvious differences between the characteristic cross-sectional views of the line losses of overloaded power distribution areas with normal line losses and those of overloaded power distribution areas with abnormal line losses. Taking two overloaded power distribution areas with basically the same user types and network structures as an example, as Figure 2 shown, the blue dots are overloaded power distribution areas with normal line losses, and their line loss rates increase slowly with the increase of the power supply. The red dots are overloaded power distribution areas with abnormal line losses, and their line loss rates increase faster with the increase of the power supply, and the change trend is more obvious. Based on this, we can judge whether the line loss of the power distribution area is abnormal by performing image recognition on the characteristic cross-sectional view of the overloaded power distribution area.

[0078] A certain power distribution area is a rural commercial-residential mixed type power distribution area, with 98 users under the area and a power distribution area capacity of 800 kVA.

[0079] Obtain the daily power supply of the distribution substation area and the line loss rate of the substation area in 2023 from the automated meter reading system, and obtain 360 groups of data after removing invalid data.

[0080] Calculate the change degree of the power supply of this substation area:

[0081] ;

[0082] The data of this substation area meets the usage conditions.

[0083] Calculate the average load rate of this substation area. After statistics, there are 40 groups of data with an average load rate greater than 20%. This substation area is a heavily loaded substation area.

[0084] Taking the daily power supply of the substation area as the abscissa and the line loss rate of the substation area as the ordinate, draw a sectional view of the line loss characteristics of the heavily loaded substation area, as Figure 3 shown.

[0085] Use the least squares method to fit the power supply of the heavily loaded substation area and the line loss rate of the heavily loaded substation area to obtain the slope of the sectional view of the line loss characteristics of the heavily loaded substation area ;

[0086] The number of users in the heavily loaded substation area is 98. Calculate the slope threshold of the sectional view of the line loss characteristics of the heavily loaded substation area ;

[0087] At this time , so there is an abnormal line loss in this heavily loaded substation area, and there is a technical loss.

[0088] Embodiment 3

[0089] Based on Embodiment 1 or 2, this embodiment introduces a technical loss anomaly diagnosis system for heavily loaded substation areas based on a sectional view of characteristics, including:

[0090] A data acquisition module that acquires the power supply of the substation area and the line loss rate of the substation area in the automated meter reading system;

[0091] A substation area screening module that calculates the average load rate of the substation area according to the power supply of the substation area, and uses the average load rate of the substation area to screen out heavily loaded substation areas to obtain the power supply of the heavily loaded substation area and the line loss rate of the heavily loaded substation area;

[0092] A sectional view drawing module that draws a sectional view of the characteristics of the heavily loaded substation area according to the power supply of the heavily loaded substation area and the line loss rate of the heavily loaded substation area;

[0093] A slope calculation module that fits the sectional view of the characteristics of the heavily loaded substation area and calculates the slope of the sectional view of the characteristics of the heavily loaded substation area;

[0094] An anomaly diagnosis module that obtains the technical loss anomaly diagnosis result of the heavily loaded substation area according to the slope of the sectional view of the characteristics of the heavily loaded substation area and the slope threshold of the same type of heavily loaded substation area.

[0095] For the specific function implementation of each of the above modules, refer to the relevant content in the method of Embodiment 1 or 2, which will not be elaborated here.

[0096] Embodiment 4

[0097] This embodiment introduces a computer-readable storage medium, on which computer instructions are stored. When the computer instructions are executed by a processor, the steps of the method described in Embodiment 1 or 2 are implemented.

[0098] Embodiment 5

[0099] This embodiment introduces a computer device, including a processor and a storage medium;

[0100] The storage medium is used to store instructions;

[0101] The processor is used to operate according to the instructions to execute the method described in Embodiment 1 or 2.

[0102] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0103] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of flows and / or blocks in the flowchart and / or block diagram can also be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0104] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0105] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one process or multiple processes and / or one block or multiple blocks. Figure 1 one process or multiple processes and / or blocks Figure 1 steps of the functions specified in one block or multiple blocks.

[0106] The embodiments of the present invention have been described above in conjunction with the accompanying drawings. However, the present invention is not limited to the above specific embodiments. The above specific embodiments are merely illustrative rather than restrictive. Under the inspiration of the present invention, those of ordinary skill in the art can also make many forms without departing from the spirit and scope protected by the claims of the present invention. These all fall within the protection scope of the present invention.

Claims

1. A method for diagnosing abnormal technical loss in a heavy-loaded platform area based on a characteristic cross-sectional view, characterized in that: include: Obtain the power supply and line loss rate of the substation area in the automatic meter reading system; Calculate the average load rate of the substation according to the power supply of the substation, and use the average load rate of the substation to screen out the overloaded substation; Draw a characteristic cross-sectional view of the heavy-load area according to the power supply of the heavy-load area and the line loss rate of the heavy-load area; Fitting the characteristic cross-sectional view of the heavy-loaded platform area and calculating the slope of the characteristic cross-sectional view of the heavy-loaded platform area; According to the slope of the characteristic profile of the heavy-loaded area and the slope threshold of the heavy-loaded areas of the same type, the abnormal diagnosis result of the technical loss of the heavy-loaded area is obtained.

2. The method for diagnosing abnormal technical loss in a heavy-loaded platform area based on a characteristic cross-sectional view according to claim 1 is characterized in that: Before calculating the average load rate of the substation area according to the power supply of the substation area, the method further includes: Delete the power supply of the substations whose power supply is greater than the full load power supply or less than zero, and delete the line loss rate of the substations whose line loss rate is greater than the upper limit threshold or less than the lower limit threshold; The power supply variation of the substation is calculated according to the power supply of the substation. If the power supply variation of the substation is greater than a first preset value, the power supply of the substation meets the conditions and the abnormal diagnosis continues; otherwise, the power supply of the substation does not meet the conditions and the power supply of the substation is acquired again.

3. The method for diagnosing abnormal technical loss in a heavy-loaded platform area based on a characteristic cross-sectional view according to claim 2 is characterized in that: The calculation formula of the power supply variation degree of the substation area is: 。 4. The method for diagnosing abnormal technical loss in a heavy-loaded platform area based on a characteristic cross-sectional view according to claim 1, characterized in that: The average load rate of the substation is calculated according to the power supply of the substation, and the heavy-loaded substation is screened out by using the average load rate of the substation to obtain the power supply of the heavy-loaded substation and the line loss rate of the heavy-loaded substation, including: The calculation formula of the average load rate of the station area is: ； If there are N groups of data showing that the average load rate of the substation is greater than the second preset value, the substation is determined to be a heavy-loaded substation, and the power supply of the heavy-loaded substation and the line loss rate of the heavy-loaded substation are obtained; wherein, N≥5.

5. The method for diagnosing abnormal technical loss in a heavy-loaded platform area based on a characteristic cross-sectional view according to claim 1, characterized in that: According to the power supply of the heavy-load area and the line loss rate of the heavy-load area, a characteristic cross-sectional view of the heavy-load area is drawn, including: With the power supply of the heavy-load area as the horizontal axis and the line loss rate of the heavy-load area as the vertical axis, a scatter plot is drawn to obtain the characteristic cross-sectional view of the heavy-load area.

6. The method for diagnosing abnormal technical loss in a heavy-loaded platform area based on a characteristic cross-sectional view according to claim 1 is characterized in that: The characteristic cross-sectional view of the heavy-loaded platform area is fitted by using the least square method to calculate the slope of the characteristic cross-sectional view of the heavy-loaded platform area, including: ； ； in, Indicates the line loss rate in the heavy-load area; Indicates the power supply in the heavy-load area; It represents the slope of the characteristic cross-section of the heavy-loaded platform area; represents a constant; represents the sum of squares of residuals in the heavy-load area; Indicates the measured value of the power supply in the heavy-load area; Indicates the measured value of line loss rate in heavy-load area; Indicates the total number of measured values ​​of power supply in the heavy-load area and the total number of measured values ​​of line loss rate in the heavy-load area; The sum of squares of the residuals for the heavily loaded area Take the derivative and get the sum of squares of the residuals in the overloaded area Minimum slope of the cross-section of the heavy-loaded platform feature .

7. The method for diagnosing abnormal technical loss in a heavy-loaded platform area based on a characteristic cross-sectional view according to claim 1, characterized in that: The acquisition of the slope threshold of the heavy load stage includes: Obtain the heavy-load power supply and heavy-load line loss rate of multiple heavy-load substations of the same type; Cluster analysis is performed on the power supply of heavy-loaded substations and the line loss rate of heavy-loaded substations of multiple heavy-loaded substations of the same type to obtain the slope threshold of the heavy-loaded substations.

8. The method for diagnosing abnormal technical loss in a heavy-loaded stage area based on a characteristic cross-sectional view according to claim 1 or 7, characterized in that: According to the slope of the characteristic cross-section view of the heavy-loaded platform area and the slope threshold of the heavy-loaded platform area, the abnormal diagnosis results of the technical loss of the heavy-loaded platform area are obtained, including: If the slope of the characteristic cross-sectional view of the heavy-loaded platform area is greater than the slope threshold of the heavy-loaded platform area, then the heavy-loaded platform has technical loss; otherwise, the heavy-loaded platform has no technical loss.

9. A heavy-duty platform area technical loss abnormality diagnosis system based on characteristic cross-sectional views, characterized in that: include: The data acquisition module obtains the power supply and line loss rate of the substation area in the automatic meter reading system; A substation screening module calculates the average load rate of the substation according to the power supply of the substation, and uses the average load rate of the substation to screen out the overloaded substation, and obtains the power supply of the overloaded substation and the line loss rate of the overloaded substation; A cross-sectional view drawing module, which draws a characteristic cross-sectional view of the heavy-load area according to the power supply of the heavy-load area and the line loss rate of the heavy-load area; A slope calculation module is used to fit the characteristic cross-sectional view of the heavy-loaded platform area and calculate the slope of the characteristic cross-sectional view of the heavy-loaded platform area; The abnormality diagnosis module obtains the abnormality diagnosis result of the technical loss of the heavy-loaded area according to the slope of the characteristic cross-section view of the heavy-loaded area and the slope threshold of the heavy-loaded area of ​​the same type.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the computer instructions are executed by a processor, the steps of the method described in any one of claims 1 to 8 are implemented.

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