Repeated metering identification method and system for transformer area side electric energy metering device

Abstract

The invention relates to a zone area side electric energy metering device repeated metering identification method and system. The method comprises the following steps that metering data of a zone area side electric energy metering device are acquired and preprocessed; in consideration of a repeated metering phenomenon caused by misconnection of the electricity meters, the electric quantity metered by one user electricity meter is the sum of the electric quantities metered by two user electricity meters, and preliminary identification of a suspected repeated metering meter is carried out; and verifying the suspected repeated meters obtained through preliminary identification, verifying the electrical distance mutual relation, the electric quantity relation and the impedance relation between the suspected repeated meters, and outputting the final identification result of the repeated meters according to the verification result.

Description

Technical Field

[0001] The invention relates to a method and system for identifying repeated measurement of an electric energy metering device at a transformer substation side, and belongs to the technical field of power grid operation and maintenance. Background Art

[0002] In the actual operation and management of the substation, due to negligence in the installation of electricity meters, it is occasionally the case that a user's electricity meter is connected to another user's electricity meter, resulting in the other user's electricity meter over-counting electricity. When the above-mentioned phenomenon of double metering occurs in the substation, the user of the over-counting electricity meter needs to pay additional electricity charges, which not only damages the user's economic interests, but also may arouse his dissatisfaction, and then lead to electricity fee disputes, which will have a great negative impact on the reputation and service quality of the power grid company.

[0003] At present, the identification of duplicate metering in substations is often carried out by manual on-site inspection. However, due to the complexity of the substation site, relying on manual on-site inspection is not only difficult to detect the problem before users report abnormal electricity bills, but also requires a lot of time and manpower. Summary of the invention

[0004] In order to solve the above problems existing in the prior art, the present invention proposes a method and system for identifying repeated measurement of an electric energy metering device at a substation side.

[0005] The technical solution of the present invention is as follows:

[0006] In one aspect, the present invention provides a method for identifying repeated measurement of an electric energy metering device at a substation side, comprising the following steps:

[0007] Obtain metering data from the electric energy metering device at the substation side and perform preprocessing;

[0008] Considering the phenomenon of repeated measurement caused by wrong connection of electric meters, there is a user's electric meter that measures the total amount of electricity measured by two users' electric meters, and a preliminary identification of suspected repeated measurement meters is performed;

[0009] The suspected duplicate meters obtained through preliminary identification are verified to verify the electrical distance relationship, electrical quantity relationship and impedance relationship between the suspected duplicate meters, and the final identification result of the duplicate meters is output based on the verification result.

[0010] As a preferred implementation, the steps of performing preliminary identification of suspected duplicate metering meters are specifically as follows:

[0011] According to the substation topology and the law of energy conservation, the substation power balance equation is obtained;

[0012] Based on the area power balance equation, a regression coefficient is introduced for each user's power meter power to establish a multivariate linear regression equation;

[0013] Perform regression analysis based on the multivariate linear regression equation, and determine whether each user's electricity meter is one of the suspected duplicate meters based on the regression coefficient, t value of the regression analysis, and the electricity curve;

[0014] According to the voltage correlation coefficient between one of the suspected duplicate meter and other user's electric meters in the substation, another suspected duplicate meter is identified.

[0015] As a preferred implementation, the method for verifying the electrical distance relationship between suspected duplicate meters is as follows:

[0016] Calculate the voltage correlation coefficients of one suspected duplicate meter, another suspected duplicate meter and the total meter respectively;

[0017] According to the calculated voltage correlation coefficient, the electrical distances between one of the suspected duplicate meter and another suspected duplicate meter and the main meter are calculated respectively;

[0018] The electrical distance between one suspected duplicate meter and the main meter is verified based on the relationship between the electrical distance between another suspected duplicate meter and the main meter.

[0019] As a preferred implementation, the method for verifying the relationship between the power quantities between the suspected duplicate meters is specifically as follows:

[0020] Calculate the difference in electricity between one suspected duplicate meter and another suspected duplicate meter;

[0021] The verification is performed based on the relationship between the calculated power difference and the preset threshold.

[0022] As a preferred implementation, the method for verifying the impedance relationship between suspected duplicate meters is specifically as follows:

[0023] According to Kirchhoff's voltage and current laws, one of the suspected repeated meter is used as a reference point to construct the circuit relationship between the total meter, the reference point and other meters;

[0024] Considering the neutral line current, setting the power factor of the electric meter to 1, the neutral line impedance and the phase line impedance are equal, setting the line impedance from each electric meter access point to the total meter as an unknown number, and establishing a multivariate linear regression equation;

[0025] Regression analysis is performed according to the established multivariate linear regression equation to obtain the line impedance from each meter access point to the total meter, thereby obtaining the line impedance from one of the suspected duplicate meter to the total meter and the line impedance from another suspected duplicate meter to the total meter;

[0026] The calibration is performed through the line impedance from one suspected duplicate meter to the main meter and the line impedance from another suspected duplicate meter to the main meter, as well as the electrical distance between one suspected duplicate meter and another suspected duplicate meter and the main meter.

[0027] As a preferred implementation, the metering data of the electric energy metering device at the substation side includes:

[0028] The current, active power curve data and electricity quantity indication curve data of the total meter on the power supply side of the substation and all the meters on the user side of the substation; as well as the phase sequence information of the total meter on the power supply side of the substation and all the meters on the user side of the substation.

[0029] As a preferred implementation, the step of obtaining metering data from the electric energy metering device at the substation side and preprocessing the data includes:

[0030] For the acquired electric quantity indication curve data, the electric quantity data of a metering cycle length is obtained through differential operation;

[0031] For the acquired current and active power curve data, multiply them by the comprehensive multiplier of the electric meter to get the actual values ​​of current and active power;

[0032] Delete the electricity meter data with missing values.

[0033] In another aspect, the present invention further provides a repeated measurement identification system for an electric energy metering device at a substation side, comprising:

[0034] A data processing module is used to obtain the metering data of the electric energy metering device at the substation side and perform preprocessing;

[0035] The suspected meter identification module is used to consider the phenomenon of repeated measurement caused by the wrong connection of the meter. If the amount of electricity measured by one user's meter is the sum of the amounts of electricity measured by two users' meters, the suspected repeated measurement meter is preliminarily identified;

[0036] The verification module is used to verify the suspected duplicate meter obtained through preliminary identification, verify the electrical distance relationship, power size relationship and impedance relationship between the suspected duplicate meters, and output the final identification result of the duplicate meter according to the verification result.

[0037] On the other hand, the present invention also proposes an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for identifying repeated metering of an electric energy metering device on the substation side as described in any embodiment of the present invention is implemented.

[0038] On the other hand, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the repeated metering identification method of the substation-side electric energy metering device as described in any embodiment of the present invention.

[0039] Additional aspects and advantages of the present invention will be set forth in the following description, and some of them will be apparent from the description, or may be understood by practicing the present invention. In addition, the various aspects and advantages of the present invention may be realized and obtained by the method steps and combinations particularly pointed out in the appended claims. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of a method flow chart of Embodiment 1 of the present invention;

[0041] Figure 2 A schematic diagram of a repeated metering scenario shown in an embodiment of the present invention;

[0042] Figure 3 This is a schematic diagram of a normal metering scenario shown in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] It should be understood that the step numbers used in this article are only for convenience of description and are not intended to limit the order in which the steps are executed.

[0045] It should be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0046] The terms “include” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0047] The term "and / or" means and includes any and all possible combinations of one or more of the associated listed items.

[0048] Embodiment 1:

[0049] See also Figure 1 This embodiment provides a method for identifying repeated measurement of an electric energy metering device at a substation side, comprising the following steps:

[0050] S100, obtaining metering data of the electric energy metering device at the substation side and performing preprocessing;

[0051] In this embodiment, the measurement data acquired in step S100 includes:

[0052] 1) The voltage, current, active power curve data and electricity indication curve data of the total meter on the power supply side of the substation and all meters on the user side of the substation, with a data granularity of 15 minutes.

[0053] 2) Phase sequence information of the main meter on the power supply side of the substation and all meters on the user side of the substation.

[0054] The pre-processing steps include:

[0055] 1) For the obtained power indication curve data, the 15-minute power data is obtained by differential operation (the length of the metering cycle is 15 minutes, that is, the power consumed by the user for 15 minutes or the power supplied by the distribution transformer for 15 minutes), as shown in the following formula:

[0056] h i,t =F·(e i,t+1 -e i,t ) (1)

[0057] Where: h i,t represents the amount of electricity measured by the ith meter in the tth measurement cycle; e i,t+1 、e i,t The electric quantity indicated by the ith electric meter at the tth moment and the t+1th moment respectively; F represents the comprehensive multiplier of the ith electric meter.

[0058] 2) For the obtained current and active power curve data, multiply them by the comprehensive multiplier of the meter to obtain the actual values ​​of current and active power.

[0059] 3) Delete the missing values ​​of the data, specifically: ① Select the voltage U of all meters (including the total meter on the power supply side of the substation and all meters on the user side of the substation) at time t t , current data I t , Active power data P t and the amount of electricity measured in the tth measurement cycle H t , forming a sequence [U t ,I t ,P t ,H t], determine whether there are missing values ​​in the sequence. If there are missing values ​​in the sequence, this group of data is considered invalid and deleted. ② Repeat the above steps, traverse the data of all moments (periods), and output the available valid data.

[0060] S200, the repeated measurement scenario considered in this embodiment is as follows Figure 2 As shown, the meter X of user X is mistakenly connected to the meter Y of user Y, resulting in duplicate measurement. The amount of electricity measured by meter Y is the sum of the amounts of electricity of user X and user Y. Based on this phenomenon, a preliminary identification of suspected duplicate measurement meters is performed.

[0061] The specific steps are as follows:

[0062] S201. First, a linear regression analysis is performed based on the electric quantity (or power) balance equation. Since the electric quantity balance equation and the power balance equation are consistent in principle, for the sake of convenience, this embodiment will take the electric quantity balance equation as an example to explain the method.

[0063] According to the topological structure of the substation and the law of conservation of energy, the following power balance equation can be obtained:

[0064]

[0065] Where: h 0,t 、h i,t 、h thloss,t 、h nonloss,t They represent the total electricity of the area meter in the tth metering period, the electricity of the ith meter, the theoretical line loss electricity of the area, and the non-technical line loss electricity of the area; N represents the total number of electricity meters on the user side; the theoretical line loss electricity h thloss,t is the variable loss h chloss,t and fixed loss h imloss,t sum.

[0066] Variable loss h chloss,t It can be calculated according to the voltage loss rate method, as shown below:

[0067]

[0068] Where: Δu i,t It represents the voltage loss rate of the ith meter in the tth metering cycle.

[0069] Δu i,t The calculation method is as follows:

[0070] For single-phase meters, there are:

[0071]

[0072] Where: u 0,t,αrepresents the α-phase voltage of the total meter of the substation at time t; u i,t,α Represents the α-phase voltage of the i-th meter at time t; α is one of the three phases A, B, and C.

[0073] For a three-phase meter, there are:

[0074]

[0075] Where: u 0,t,av represents the three-phase average voltage of the total meter of the substation at time t; u i,t,av Represents the three-phase average voltage of the i-th meter at time t.

[0076] Due to non-technical line loss h nonloss,t Unknown, fixed loss h imloss,t It is difficult to calculate, so an electricity correction coefficient β is introduced into the electricity meter electricity of each user in formula (2) i , establish the multiple linear regression equation, as shown below:

[0077]

[0078] Where: β i It represents the regression coefficient of the regression equation, that is, the power correction coefficient; β0 represents the intercept term of the regression equation, that is, the fixed loss of the substation; ε represents the error term.

[0079] Formula (6) can be called the online monitoring model of the power balance mismatch in the substation area. Substituting the 15-minute power data samples of more than N groups into formula (6), the corresponding regression coefficient β is obtained. i and the t value tp of regression analysis i .

[0080] S202, secondly, identify the electric meter X, as shown below:

[0081] For each meter in the area, based on the regression coefficient β i , t value tp of regression analysis i And the power curve H i =[h i,1 ,h i,2 ,…h i,m ]Determine whether it is a repeated metering meter. The determination rules are as follows:

[0082] β i <β δ (7)

[0083] tp i <tp δ (8)

[0084] mean(H i )-3std(Hi )>H δ (9)

[0085] Where: β δ 、tp δ , H δ represents the judgment threshold, which can be 0.1, 10, or 0; mean(·) and std(·) represent the average and standard deviation operations, respectively.

[0086] The user-side electric meter that satisfies equations (7) to (9) is determined to be one of the suspected duplicate meter X.

[0087] S203, identifying another suspected duplicate meter Y, as shown below:

[0088] Calculate the voltage correlation coefficient r between meter X and other meters in the area u,xy , as shown below:

[0089]

[0090] Where: m represents the length of the voltage curve; u X,t , They represent the voltage value and the average value of the voltage curve of the electric meter X at time t; u y,t , They respectively represent the voltage value at time t and the average value of the voltage curve of other meters except meter X.

[0091] Sort the voltage correlation coefficients from large to small, and select the meter with the largest voltage correlation coefficient as another suspected duplicate meter Y.

[0092] S300, verifying the suspected duplicate meter obtained through preliminary identification, verifying the electrical distance relationship, power size relationship and impedance relationship between the suspected duplicate meter, and outputting the final identification result of the duplicate meter according to the verification result.

[0093] In this embodiment, the method for verifying the electrical distance relationship between the suspected duplicate meters is specifically as follows:

[0094] Calculate the voltage correlation coefficient r between one suspected duplicate meter X and another suspected duplicate meter Y, one suspected duplicate meter X and the total meter, and another suspected duplicate meter Y and the total meter in the table u,XY 、r u,X0 and r u,Y0 The calculation formula of the voltage correlation coefficient can be referred to formula (10), which will not be elaborated here.

[0095] Calculate the electrical distance d between table X and table Y, table X and the total table, table Y and the total table XY d X0and d Y0 , as shown below:

[0096] d XY =1-r u,XY (11)

[0097] d X0 =1-r u,X0 (12)

[0098] d Y0 =1-r u,Y0 (13)

[0099] The test is performed using formula (14). If formula (14) holds, the test is passed, and vice versa.

[0100] d X0 >d Y0 (14)

[0101] In this embodiment, the method for verifying the relationship between the power quantities of the suspected duplicate meters is specifically as follows:

[0102] Calculate the difference Δh between one suspected duplicate meter X and another suspected duplicate meter Y XY,t , as shown in the following formula:

[0103] Δh XY,t =h Y,t -h X,t , (15)

[0104] Where: h x,t 、h yk,t They respectively represent the electricity of meter Y and meter X in the tth metering cycle.

[0105] The test is performed using formula (16). If formula (16) holds, the test is passed, and vice versa.

[0106]

[0107] Where: T represents the time series set of electricity data.

[0108] In another embodiment, verification can also be performed by repeatedly measuring the power relationship between meters. The method of verifying by the power relationship is basically the same as the method of verifying by the power quantity relationship, and will not be repeated here.

[0109] In this embodiment, the method for verifying the impedance relationship between the suspected repeated meter is specifically as follows:

[0110] According to Kirchhoff's voltage and current laws, with the repeated meter as the reference point, the following circuit relationship can be obtained:

[0111]

[0112] Where: u 0,α 、u X,α Respectively represent the α phase voltage of the total meter and meter X; Z i,α represents the α-phase impedance from the i-th meter access point to the total meter; i i,t,α represents the α-phase current of the i-th meter; n α Indicates the number of meters connected to phase α.

[0113] Assuming that a suspected duplicate meter is connected to phase A, the inspection steps are explained using phase A as an example.

[0114] Consider the neutral line current and assume that the power factor of the user is 1 and the neutral line impedance Z i,N,A With phase line Z i,A The impedances are equal, and formula (17) can be rewritten as:

[0115]

[0116] Where: u 0,A 、u X,A Represents the A-phase voltage of the total meter and meter X respectively; i i,A 、i i,B 、i i,C Respectively represent the A, B, and C phase currents of the total meter and the i-th meter; n A Indicates the number of meters connected to phase A.

[0117] The impedance of the line from each meter access point to the total meter is set as an unknown number, and the multivariate linear regression equation is established as follows:

[0118]

[0119] Where: β i,α represents the A-phase impedance from the ith meter access point to the main meter; β0' represents the intercept term; ε' represents the error term.

[0120] will be greater than n A Substitute the voltage and current data samples of the group into formula (19) to calculate the corresponding regression coefficient β i,A , that is, the A-phase impedance from the meter access point to the main meter.

[0121] Then, select the impedance Z from the meter X to the total meter X =β X,A and the impedance Z from the meter Y to the total meter Y =β Y,A The test impedance relationship.

[0122] The repeated measurement scenarios considered in this patent are as follows Figure 2As shown in the figure, the normal metering scenario is as follows Figure 3 As shown. Figure 2 , Figure 3 As shown in Figure 2, if repeated measurement occurs in the substation, then Z X is the impedance between meter X and meter Y. If the meter area is measured normally, then Z X is the impedance between meter X and the total meter.

[0123] Compare the impedance calculation value with the electrical distance calculated by equations (11) to (13) to determine Z X Whether it tends to belong to the impedance between table X and table Y, as shown below:

[0124] |Z X / Z Y -d XY / d Y0 |<|Z X / Z Y -d X0 / d Y0 | (20)

[0125] |(Z X +Z Y ) / Z Y -d X0 / d Y0 |<|Z X / Z Y -d X0 / d Y0 | (21)

[0126] If equation (20) and equation (21) are both true, the test is passed, and vice versa.

[0127] It should be noted that if the suspected duplicate meter is connected to phase B or phase C, equation (18) needs to be rewritten as follows:

[0128]

[0129] Based on the above implementation, this embodiment focuses on solving the phenomenon of repeated measurement caused by incorrect wiring between two meters. Linear regression analysis is performed based on the electricity (power) balance equation, and the suspected repeated meter is preliminarily identified based on the regression coefficient, the t value of the regression analysis, the mean and standard deviation of electricity consumption. Then check the mutual relationship of the electrical distances between the suspected repeated meter, check the power (or electricity) size relationship between the suspected repeated meter, and check the impedance relationship between the suspected repeated meter. If the suspected repeated meter passes the above three tests, it is considered that there is a repeated measurement relationship caused by incorrect wiring between the two meters. It can automatically, quickly and accurately confirm the repeated metering in the power grid, reduce the time and labor cost of manual verification, and greatly improve the efficiency of power grid operation and maintenance.

[0130] Embodiment 2:

[0131] This embodiment provides a repeated measurement identification system for an electric energy metering device at a substation, including:

[0132] A data processing module, used to obtain and pre-process the metering data of the electric energy metering device at the substation side; this module is used to implement the function of step S100 in the first embodiment, which will not be described in detail here;

[0133] A suspected meter identification module is used to consider the phenomenon of repeated measurement caused by the wrong connection of the meter, and to perform preliminary identification of suspected repeated measurement meters when the amount of electricity measured by a user's meter is the sum of the amounts of electricity measured by two user's meters; this module is used to implement the function of step S200 in the first embodiment, which will not be described in detail here;

[0134] The verification module is used to verify the suspected duplicate meters obtained through preliminary identification, verify the electrical distance relationship, power size relationship and impedance relationship between the suspected duplicate meters, and output the final identification result of the duplicate meters based on the verification result; this module is used to implement the function of step S300 in Example 1, which will not be repeated here.

[0135] Embodiment three:

[0136] This embodiment proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the method for identifying repeated metering of an electric energy metering device at a substation side as described in any embodiment of the present invention is implemented.

[0137] Embodiment 4:

[0138] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for identifying repeated measurement of an electric energy metering device at a substation side as described in any embodiment of the present invention is implemented.

[0139] In the embodiments of the present application, "at least one" refers to one or more, and "more than one" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent the existence of A alone, the existence of A and B at the same time, and the existence of B alone. Among them, A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following" and similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c can be represented by: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, c can be single or multiple.

[0140] Those of ordinary skill in the art will appreciate that the various units and algorithm steps described in the embodiments disclosed herein can be implemented in a combination of electronic hardware, computer software, and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0141] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0142] In several embodiments provided in the present application, if any function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory; hereinafter referred to as: ROM), random access memory (Random Access Memory; hereinafter referred to as: RAM), disk or optical disk, and other media that can store program codes.

[0143] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for identifying repeated measurement of an electric energy metering device at a substation, characterized in that: The following steps are involved: Obtain metering data from the electric energy metering device at the substation side and perform preprocessing; Considering the phenomenon of repeated measurement caused by wrong connection of electric meters, there is a user's electric meter that measures the total amount of electricity measured by two users' electric meters, and a preliminary identification of suspected repeated measurement meters is performed; The suspected duplicate meters obtained through preliminary identification are verified to verify the electrical distance relationship, electrical quantity relationship and impedance relationship between the suspected duplicate meters, and the final identification result of the duplicate meters is output based on the verification result.

2. A method for identifying repeated measurement of an electric energy metering device at a substation according to claim 1, characterized in that: The steps for preliminary identification of suspected duplicate meter are as follows: According to the substation topology and the law of energy conservation, the substation power balance equation is obtained; Based on the area power balance equation, a regression coefficient is introduced for each user's power meter power to establish a multivariate linear regression equation; Perform regression analysis based on the multivariate linear regression equation, and determine whether each user's electricity meter is one of the suspected duplicate meters based on the regression coefficient, t value of the regression analysis, and the electricity curve; According to the voltage correlation coefficient between one of the suspected duplicate meter and other user's electric meters in the substation, another suspected duplicate meter is identified.

3. A method for identifying repeated measurement of an electric energy metering device at a substation according to claim 2, characterized in that: The method for verifying the electrical distance relationship between suspected duplicate meters is as follows: Calculate the voltage correlation coefficients of one suspected duplicate meter, another suspected duplicate meter and the total meter respectively; According to the calculated voltage correlation coefficient, the electrical distances between one of the suspected duplicate meter and another suspected duplicate meter and the main meter are calculated respectively; The electrical distance between one suspected duplicate meter and the main meter is verified based on the relationship between the electrical distance between another suspected duplicate meter and the main meter.

4. A method for identifying repeated measurement of an electric energy metering device at a substation according to claim 2, characterized in that: The specific method for verifying the relationship between the power quantities of suspected duplicate meters is as follows: Calculate the difference in electricity between one suspected duplicate meter and another suspected duplicate meter; The verification is performed based on the relationship between the calculated power difference and the preset threshold.

5. A method for identifying repeated measurement of an electric energy metering device at a substation according to claim 2, characterized in that: The method for verifying the impedance relationship between suspected duplicate meters is as follows: According to Kirchhoff's voltage and current laws, one of the suspected repeated meter is used as a reference point to construct the circuit relationship between the total meter, the reference point and other meters; Considering the neutral line current, setting the power factor of the electric meter to 1, the neutral line impedance and the phase line impedance are equal, setting the line impedance from each electric meter access point to the total meter as an unknown number, and establishing a multivariate linear regression equation; Regression analysis is performed according to the established multivariate linear regression equation to obtain the line impedance from each meter access point to the total meter, thereby obtaining the line impedance from one of the suspected duplicate meter to the total meter and the line impedance from another suspected duplicate meter to the total meter; The calibration is performed through the line impedance from one suspected duplicate meter to the main meter and the line impedance from another suspected duplicate meter to the main meter, as well as the electrical distance between one suspected duplicate meter and another suspected duplicate meter and the main meter.

6. A method for identifying repeated measurement of an electric energy metering device at a substation according to claim 1, characterized in that: The metering data of the electric energy metering device at the substation side includes: The current, active power curve data and electricity quantity indication curve data of the total meter on the power supply side of the substation and all the meters on the user side of the substation; as well as the phase sequence information of the total meter on the power supply side of the substation and all the meters on the user side of the substation.

7. A method for identifying repeated measurement of an electric energy metering device at a substation according to claim 6, characterized in that: The step of obtaining the metering data of the electric energy metering device at the substation side and performing preprocessing comprises: For the acquired electric quantity indication curve data, the electric quantity data of a metering cycle length is obtained through differential operation; For the acquired current and active power curve data, multiply them by the comprehensive multiplier of the electric meter to get the actual values ​​of current and active power; Delete the electricity meter data with missing values.

8. A repeated measurement identification system for electric energy metering devices at the substation side, characterized in that: include: A data processing module is used to obtain the metering data of the electric energy metering device at the substation side and perform preprocessing; The suspected meter identification module is used to consider the phenomenon of repeated measurement caused by the wrong connection of the meter. If the amount of electricity measured by one user's meter is the sum of the amounts of electricity measured by two users' meters, the suspected repeated measurement meter is preliminarily identified; The verification module is used to verify the suspected duplicate meter obtained through preliminary identification, verify the electrical distance relationship, power size relationship and impedance relationship between the suspected duplicate meters, and output the final identification result of the duplicate meter according to the verification result.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the repeated measurement identification method of the substation-side electric energy metering device as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for identifying repeated measurement of an electric energy metering device at the substation side as described in any one of claims 1 to 7 is implemented.

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