Method and system for identifying abnormal power consumption behaviors of users based on line courts and special transformers

Abstract

The invention discloses an abnormal power consumption behavior identification method and system based on a line area and a special transformer user, and relates to the technical field of power systems, theoretical line loss analysis is carried out on each medium-voltage line, theoretical line loss calculation is carried out through a forward-backward substitution method, and a theoretical line loss value is obtained; an actual measurement line loss value is obtained, a difference value between the theoretical line loss value and the actual measurement line loss value is calculated, a difference value threshold value is set, and if the difference value exceeds the difference value threshold value, the medium-voltage line has an abnormal electricity utilization behavior risk; whether voltage loss behaviors exist in each transformer area and the special transformer users on the medium-voltage line with the abnormal power utilization behavior risk or not is judged, and if yes, the operation is continued after the special transformer users are screened and removed; measuring phase angles of nodes of each transformer area and a special transformer user on the medium-voltage line, and calculating power estimation values of the nodes according to the phase angles of the nodes; and obtaining a power measurement value, calculating an absolute value of a difference value between the power estimation value and the power measurement value, and if the absolute value exceeds a preset threshold value, listing the corresponding transformer area or special transformer user node as a suspected abnormal node.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method and system for identifying abnormal power consumption behavior of line stations and dedicated transformer users. Background Art

[0002] Abnormal electricity usage includes electricity theft, meter failure, billing errors, etc. The main source is electricity theft. With the rapid increase in electricity demand in my country, abnormal electricity usage also occurs from time to time, which not only causes huge economic losses to power companies, but also threatens the personal safety and normal electricity use of residents.

[0003] With the continuous growth of electricity demand, abnormal electricity consumption detection has become an important measure to ensure the benefits of power supply companies. The main method for power supply companies to detect abnormal electricity consumption is to check the user's electricity meter on site. This method is inefficient, consumes a lot of manpower and material resources, has a limited inspection scope, and the number of cases captured is very small. Therefore, it is necessary to propose new abnormal electricity consumption detection technologies to improve detection efficiency and accuracy. The currently widely used machine learning classification methods require a large number of positive and negative samples for training. When the sample quality is poor, the training accuracy will also decrease. Summary of the invention

[0004] In order to solve the deficiencies mentioned in the above background technology, the purpose of the present invention is to provide a method and system for identifying abnormal power consumption behavior based on line stations and dedicated transformer users.

[0005] In the first aspect, the purpose of the present invention can be achieved by the following technical solution: Based on the abnormal power consumption behavior identification method of the line station area and the dedicated transformer user, the method comprises the following steps:

[0006] Conduct theoretical line loss analysis on each medium voltage line, calculate the theoretical line loss by forward-backward substitution method, and obtain the theoretical line loss value;

[0007] Get the actual measured line loss value, calculate the difference between the theoretical line loss value and the actual measured line loss value, set the difference threshold, if the difference does not exceed the difference threshold, the medium voltage line is normal, if the difference exceeds the difference threshold, the medium voltage line has the risk of abnormal power consumption behavior;

[0008] Determine whether each substation and dedicated transformer user on the medium-voltage line with the risk of abnormal power consumption has voltage loss behavior. If not, continue. If so, screen and remove the dedicated transformer users before continuing.

[0009] Measure the phase angle of each node of each substation and dedicated transformer user on the medium voltage line, and calculate the power estimation value of the node based on the phase angle of the node;

[0010] The power measurement value is obtained, and the absolute value of the difference between the power estimation value and the power measurement value is calculated. If the absolute value of the difference exceeds a preset threshold, the substation or dedicated transformer user node corresponding to the power estimation value is listed as a suspected abnormal node.

[0011] In combination with the first aspect, in some implementations of the first aspect, the method further includes: a setting method for calculating the theoretical line loss:

[0012] Calculate the theoretical line loss in a 3-node network, given the apparent power of nodes 2 and 3 and and node 1 voltage Node 2 is a dedicated transformer user, and node 3 is a substation node. The voltages of nodes 2 and 3 are set to the rated voltage of the network.

[0013] In combination with the first aspect, in some implementations of the first aspect, the method further includes: the theoretical line loss calculation process:

[0014] Forward calculation of the injected power of node 1

[0015] Calculate the power loss of branches 2 and 3:

[0016]

[0017] Where R 23 , X 23 are the resistance and reactance of branch 23 respectively.

[0018] Calculate the power loss of branches 1 and 2:

[0019]

[0020] Where R 12 , X 12 are the resistance and reactance of branch 12 respectively.

[0021] Calculate the injected power of node 1:

[0022]

[0023] Back-calculate the voltage of node 2 Voltage at Node 3

[0024]

[0025] Repeat the above formula until the voltages of node 2 and node 3 at the t+1th time and the voltages of node 2 and node 3 at the tth time meet the convergence condition;

[0026]

[0027] Calculate the theoretical line loss ΔP of branches 2 and 3 and branches 1 and 2 23 and ΔP 12 And the theoretical line loss ΔP 理 :

[0028]

[0029] ΔP 理 =ΔP 12 +ΔP 23

[0030] In combination with the first aspect, in some implementations of the first aspect, the method further includes: the actual measured line loss value ΔP 实 The calculation formula is:

[0031] ΔP 实 =S T1 -(S y2 +S y3 ).

[0032] Where S T1 S is the actual measured head-end injection power. y3 It is the sum of electricity consumption of users in area 3.

[0033] In combination with the first aspect, in certain implementations of the first aspect, the method also includes: within the substation and dedicated transformer users, the substation users are low-supply and low-meter users, and the metering loop voltage reference value is 220V; the dedicated transformer users are high-supply and high-meter users, and the metering loop voltage reference value is 100V; whether there is a voltage loss behavior is determined by whether the actual voltage of the substation and dedicated transformer users deviates from the loop voltage reference value by more than 50%. If exceeded, it is a voltage loss and phase failure. If not exceeded, there is no voltage loss and phase failure.

[0034] In combination with the first aspect, in some implementations of the first aspect, the method further includes: a calculation process of measuring the phase angle of each station area and node of the dedicated transformer user on the medium voltage line:

[0035]

[0036] Where: is the voltage amplitude of node 2 obtained by forward-backward power flow calculation, and is the measured value of active and reactive power of node 2;

[0037] The calculation process of calculating the power estimate of the node based on the phase angle of the node:

[0038]

[0039] Among them, j is the node adjacent to node 3, Yij =G ij +jB ij is the node admittance matrix.

[0040] In the second aspect, in order to achieve the above-mentioned purpose, the present invention discloses a system for identifying abnormal power consumption behavior based on line stations and dedicated transformer users, comprising:

[0041] The line loss calculation module is used to perform theoretical line loss analysis on each medium voltage line and calculate the theoretical line loss by forward-backward substitution to obtain the theoretical line loss value.

[0042] The abnormality troubleshooting module is used to obtain the actual measured line loss value, calculate the difference between the theoretical line loss value and the actual measured line loss value, and set the difference threshold. If the difference does not exceed the difference threshold, there is no abnormality in the medium-voltage line. If the difference exceeds the difference threshold, there is a risk of abnormal power consumption in the medium-voltage line.

[0043] The voltage loss judgment module is used to judge whether each substation and dedicated transformer user on the medium-voltage line with the risk of abnormal power consumption behavior has voltage loss behavior. If not, continue the process; if so, filter and remove the dedicated transformer users before continuing;

[0044] The power calculation module is used to measure the phase angle of each node of each substation and dedicated transformer user on the medium voltage line, and calculate the power estimation value of the node according to the phase angle of the node;

[0045] The abnormal node determination module is used to obtain the power measurement value, calculate the absolute value of the difference between the power estimation value and the power measurement value, and if the absolute value of the difference exceeds a preset threshold, the substation or dedicated transformer user node corresponding to the power estimation value is listed as a suspected abnormal node.

[0046] In conjunction with the second aspect, in certain implementations of the second aspect, the system further includes: a method for setting theoretical line loss calculation in the line loss calculation module:

[0047] Calculate the theoretical line loss in a 3-node network, given the apparent power of nodes 2 and 3 and and node 1 voltage Node 2 is a dedicated transformer user, and node 3 is a substation node. The voltages of nodes 2 and 3 are set to the rated voltage of the network.

[0048] Or the theoretical line loss calculation process in the line loss calculation module:

[0049] Forward calculation of the injected power of node 1

[0050] Calculate the power loss of branches 2 and 3:

[0051]

[0052] Where R 23 , X 23 are the resistance and reactance of branch 23 respectively.

[0053] Calculate the power loss of branches 1 and 2:

[0054]

[0055] Where R 12 , X 12 are the resistance and reactance of branch 12 respectively.

[0056] Calculate the injected power of node 1:

[0057]

[0058] Back-calculate the voltage of node 2 Voltage at Node 3

[0059]

[0060] Repeat the above formula until the voltages of node 2 and node 3 at the t+1th time and the voltages of node 2 and node 3 at the tth time meet the convergence condition;

[0061]

[0062] Calculate the theoretical line loss ΔP of branches 2 and 3 and branches 1 and 2 23 and ΔP 12 And the theoretical line loss ΔP 理 :

[0063]

[0064] ΔP 理 =ΔP 12 +ΔP 23

[0065] Or the actual measured line loss value ΔP in the abnormality troubleshooting module 实 The calculation formula is:

[0066] ΔP 实 =S T1 -(S y2 +S y3 )

[0067] Where S T1 S is the actual measured head-end injection power. y3 It is the sum of electricity consumption of users in area 3.

[0068] Or in the transformer area and the dedicated transformer user in the voltage loss judgment module, the transformer area user is a low-supply and low-meter user, and the metering circuit voltage reference value is 220V; the dedicated transformer user is a high-supply and high-meter user, and the metering circuit voltage reference value is 100V; whether there is a voltage loss behavior is determined by whether the actual voltage of the transformer area and the dedicated transformer user deviates from the circuit voltage reference value by more than 50%. If it exceeds, it is a voltage loss and phase failure. If not, there is no voltage loss and phase failure.

[0069] Or the calculation process of measuring the phase angle of each substation and dedicated transformer user node on the medium voltage line in the power calculation module:

[0070]

[0071] Where: is the voltage amplitude of node 2 obtained by forward-backward power flow calculation, and is the measured value of active and reactive power of node 2;

[0072] The calculation process of calculating the power estimate of the node based on the phase angle of the node:

[0073]

[0074] Among them, j is the node adjacent to node 3, Y ij =G ij +jB ij is the node admittance matrix.

[0075] In another aspect of the present invention, in order to achieve the above-mentioned purpose, a terminal device is disclosed, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the memory stores a computer program capable of running on the processor, and when the processor loads and executes the computer program, the method for identifying abnormal electricity consumption behavior based on line substations and dedicated transformer users as described above is adopted.

[0076] In another aspect of the present invention, in order to achieve the above-mentioned purpose, a computer-readable storage medium is disclosed, in which a computer program is stored. When the computer program is loaded and executed by a processor, the above-mentioned method for identifying abnormal electricity consumption behavior based on line substations and dedicated transformer users is adopted.

[0077] Beneficial effects of the present invention:

[0078] The present invention proposes a method and system for identifying abnormal power consumption behavior based on line substations and special transformer users, which analyzes and locates abnormal substations and special transformer users step by step from the medium voltage side, and can improve the accuracy and efficiency of identification while meeting the on-site work experience, and reduce the waste of human and material resources. At the same time, this method is based on actual experience for analysis, which reduces the requirements for data. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art description are briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0080] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0081] Figure 2 This is a typical 3-node system diagram;

[0082] Figure 3 is the grid structure of the distribution network in the embodiment of the present invention;

[0083] Figure 4 A diagram showing the difference between the estimated power and the measured power when abnormal power consumption behavior exists in an embodiment of the present invention;

[0084] Figure 5 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0085] 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.

[0086] Embodiment 1:

[0087] The following is an introduction to the relevant terms involved in the embodiments of the present application:

[0088] Back-forward substitution method: given the starting voltage and terminal load of the distribution network, the feeder is used as the basic calculation unit.

[0089] Initially, it is assumed that the voltage of the entire network is the rated voltage. According to the load power, it is calculated step by step from the end j to the starting end k. Only the power loss in each component is calculated without calculating the node voltage. The current and power loss on each branch are obtained, and the starting power is obtained based on this. This is the back substitution process.

[0090] Then, according to the given starting voltage and the obtained starting power, the voltage drop is calculated from the starting end to the end step by step to obtain the voltage of each node. This is the forward process. The above process is repeated until the power deviation of each node meets the allowable conditions.

[0091] Line loss: Line loss, also known as line loss for short, is the energy loss caused by the transmission of electric energy through the transmission line.

[0092] like Figure 1 As shown, based on the method for identifying abnormal power consumption behavior of line stations and dedicated transformer users, the method includes the following steps:

[0093] Conduct theoretical line loss analysis on each medium voltage line, calculate the theoretical line loss by forward-backward substitution method, and obtain the theoretical line loss value;

[0094] Setting method for theoretical line loss calculation:

[0095] Calculate the theoretical line loss in a 3-node network, given the apparent power of nodes 2 and 3 and and node 1 voltage Node 2 is a dedicated transformer user, and node 3 is a substation node. The voltage of nodes 2 and 3 is set to the rated voltage of the network.

[0096] Theoretical line loss calculation process:

[0097] Forward calculation of the injected power of node 1

[0098] Calculate the power loss of branches 2 and 3:

[0099]

[0100] Where R 23 , X 23 are the resistance and reactance of branch 23 respectively.

[0101] Calculate the power loss of branches 1 and 2:

[0102]

[0103] Where R 12 , X 12 are the resistance and reactance of branches 1 and 2 respectively.

[0104] Calculate the injected power of node 1:

[0105]

[0106] Back-calculate the voltage of node 2 Voltage at Node 3

[0107]

[0108] Repeat the above formula until the voltages of node 2 and node 3 at the t+1th time and the voltages of node 2 and node 3 at the tth time meet the convergence condition;

[0109]

[0110] Calculate the theoretical line loss ΔP of branches 2 and 3 and branches 1 and 2 23 and ΔP 12 And the theoretical line loss ΔP 理 :

[0111]

[0112] Get the actual measured line loss value, calculate the difference between the theoretical line loss value and the actual measured line loss value, set the difference threshold, if the difference does not exceed the difference threshold, the medium voltage line is normal, if the difference exceeds the difference threshold, the medium voltage line has the risk of abnormal power consumption behavior;

[0113] In this embodiment, the difference threshold is 20% of the theoretical line loss;

[0114] Actual measured line loss value ΔP 实 The calculation formula is:

[0115] ΔP 实 =S T1 -(S y2 +S y3 ).

[0116] Where S T1 S is the actual measured head-end injection power. y3 It is the sum of electricity consumption of users in area 3.

[0117] Determine whether each substation and dedicated transformer user on the medium-voltage line with the risk of abnormal power consumption has voltage loss behavior. If not, continue. If so, screen and remove the dedicated transformer users before continuing.

[0118] In the substation and special transformer users, the substation users are low-supply and low-meter users, and the reference value of the metering circuit voltage is 220V; the special transformer users are high-supply and high-meter users, and the reference value of the metering circuit voltage is 100V; whether there is a voltage loss behavior is determined by whether the actual voltage of the substation and special transformer users deviates from the circuit voltage reference value by more than 50%. If exceeded, it is a voltage loss and phase failure. If not exceeded, there is no voltage loss and phase failure.

[0119] Measure the phase angle of each node of each substation and dedicated transformer user on the medium voltage line, and calculate the power estimation value of the node based on the phase angle of the node;

[0120] The calculation process of measuring the phase angle of each substation and dedicated transformer user node on the medium voltage line:

[0121]

[0122]

[0123] Where: U2 p is the voltage amplitude of node 2 obtained by forward-backward power flow calculation, P2 M and Q2 M is the measured value of active and reactive power of node 2;

[0124] The calculation process of calculating the power estimate of the node based on the phase angle of the node:

[0125]

[0126] Among them, j is the node adjacent to node 3, Y ij =G ij +jB ij is the node admittance matrix.

[0127] The power measurement value is obtained, and the absolute value of the difference between the power estimation value and the power measurement value is calculated. If the absolute value of the difference exceeds a preset threshold, the substation or dedicated transformer user node corresponding to the power estimation value is listed as a suspected abnormal node.

[0128] Specifically, the present invention is further described below by way of embodiments:

[0129] This embodiment is based on a medium voltage distribution network with 33 nodes in a certain area. The grid structure is as follows: Figure 3 As shown in the figure, node 1 is a substation node. It is known that power theft occurs at nodes 4 and 21 of the distribution network. The calculation results of the line loss rate are shown in Table 1 based on the forward and backward flow calculation based on the measured value and the actual value. It can be seen that when abnormal power consumption occurs on the line, the actual line loss rate is greater than the theoretical line loss rate, and the higher the abnormal power consumption, the greater the difference between the actual line loss rate and the theoretical line loss rate, so that the abnormal power consumption line can be located.

[0130] After locating the abnormal power consumption line, it is necessary to further analyze the line to locate the abnormal public transformer node or special transformer user. Although the actual power consumption of the abnormal public transformer node or special transformer after the abnormal power consumption occurs cannot be obtained by measurement, the approximate power consumption can be calculated by the measured value of the node voltage after the abnormal power consumption occurs and the estimated value of the node phase angle. Compare the deviation between the power measurement value and the estimated value of each node, such as Figure 4As shown. It can be seen that when nodes 4 and 21 have abnormal power consumption behavior, there are two large extreme points in the power deviation between the measured value and the calculated value on the continuous branch, so it can be considered that there may be two abnormal power users in the distribution network. The measured value and actual value deviation of this node and the upper node will have certain abnormalities, but the deviation of abnormal nodes 4 and 21 is the largest, so the special transformer user or public transformer node with abnormal power consumption behavior can be located.

[0131] Table 1

[0132]

[0133] Embodiment 2: In the second aspect, as Figure 5 As shown, in order to achieve the above purpose, the present invention discloses a system for identifying abnormal power consumption behavior based on line stations and dedicated transformer users, including:

[0134] The line loss calculation module 11 is used to perform theoretical line loss analysis on each medium voltage line, calculate the theoretical line loss by forward-backward substitution method, and obtain the theoretical line loss value;

[0135] The abnormality troubleshooting module 12 is used to obtain the actual measured line loss value, calculate the difference between the theoretical line loss value and the actual measured line loss value, and set the difference threshold. If the difference does not exceed the difference threshold, there is no abnormality in the medium voltage line. If the difference exceeds the difference threshold, there is a risk of abnormal power consumption behavior in the medium voltage line.

[0136] The voltage loss judgment module 13 is used to judge whether each substation and dedicated transformer user on the medium voltage line with the risk of abnormal power consumption behavior has voltage loss behavior. If not, continue the process; if so, filter and remove the dedicated transformer users before continuing the process;

[0137] The power calculation module 14 is used to measure the phase angle of each node of each substation and dedicated transformer user on the medium voltage line, and calculate the power estimation value of the node according to the phase angle of the node;

[0138] The abnormal node determination module 15 is used to obtain the power measurement value, calculate the absolute value of the difference between the power estimation value and the power measurement value, and if the absolute value of the difference exceeds a preset threshold, the substation or dedicated transformer user node corresponding to the power estimation value is listed as a suspected abnormal node.

[0139] In combination with the second aspect, in some implementations of the second aspect, the system further includes: a setting method for theoretical line loss calculation in the line loss calculation module 11:

[0140] Calculate the theoretical line loss in a 3-node network, given the apparent power of nodes 2 and 3 and and node 1 voltage Node 2 is a dedicated transformer user, and node 3 is a substation node. The voltages of nodes 2 and 3 are set to the rated voltage of the network.

[0141] Or the theoretical line loss calculation process in the line loss calculation module 11:

[0142] Forward calculation of the injected power of node 1

[0143] Calculate the power loss of branches 2 and 3:

[0144]

[0145] Where R 23 , X 23 are the resistance and reactance of branch 23 respectively.

[0146] Calculate the power loss of branches 1 and 2:

[0147]

[0148] Where R 12 , X 12 are the resistance and reactance of branches 1 and 2 respectively.

[0149] Calculate the injected power of node 1:

[0150]

[0151] Back-calculate the voltage of node 2 Voltage at Node 3

[0152]

[0153] Repeat the above formula until the voltages of node 2 and node 3 at the t+1th time and the voltages of node 2 and node 3 at the tth time meet the convergence condition;

[0154]

[0155] Calculate the theoretical line loss ΔP of branches 2 and 3 and branches 1 and 2 23 and ΔP 12 And the theoretical line loss ΔP 理 :

[0156]

[0157] ΔP 理 =ΔP 12 +ΔP 23

[0158] Or the actual measured line loss value ΔP in the abnormality troubleshooting module 12 实The calculation formula is:

[0159] ΔP 实 =S T1 -(S y2 +S y3 )

[0160] Where S T1 S is the actual measured head-end injection power. y3 It is the sum of electricity consumption of users in area 3.

[0161] Or in the transformer area and the dedicated transformer user in the voltage loss judgment module 13, the transformer area user is a low-supply and low-meter user, and the metering circuit voltage reference value is 220V; the dedicated transformer user is a high-supply and high-meter user, and the metering circuit voltage reference value is 100V; whether there is a voltage loss behavior is determined by whether the actual voltage of the transformer area and the dedicated transformer user deviates from the circuit voltage reference value by more than 50%, if it exceeds, it is a voltage loss phase failure, if not, there is no voltage loss phase failure;

[0162] Or the calculation process of measuring the phase angle of each substation and dedicated transformer user node on the medium voltage line in the power calculation module 14:

[0163]

[0164] Where: is the voltage amplitude of node 2 obtained by forward-backward power flow calculation, and is the measured value of active and reactive power of node 2;

[0165] The calculation process of calculating the power estimate of the node based on the phase angle of the node:

[0166]

[0167] Among them, j is the node adjacent to node 3, Y ij =G ij +jB ij is the node admittance matrix.

[0168] Based on the same inventive concept, the present invention also provides a computer device, which includes: one or more processors, and a memory for storing one or more computer programs; the program includes program instructions, and the processor is used to execute the program instructions stored in the memory. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is used to implement one or more instructions, specifically for loading and executing one or more instructions in a computer storage medium to implement the above method.

[0169] It needs to be further explained that, based on the same inventive concept, the present invention also provides a computer storage medium, on which a computer program is stored, and the computer program is executed by a processor to execute the above method. The storage medium can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electrical, magnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0170] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0171] The above shows and describes the basic principles, main features and advantages of the present disclosure. Those skilled in the art should understand that the present disclosure is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present disclosure. Without departing from the spirit and scope of the present disclosure, the present disclosure may have various changes and improvements, and these changes and improvements fall within the scope of the present disclosure to be protected.

Claims

1. A method for identifying abnormal power consumption behavior of line stations and dedicated transformer users, characterized in that: The method comprises the following steps: Conduct theoretical line loss analysis on each medium voltage line, calculate the theoretical line loss by forward-backward substitution method, and obtain the theoretical line loss value; Get the actual measured line loss value, calculate the difference between the theoretical line loss value and the actual measured line loss value, set the difference threshold, if the difference does not exceed the difference threshold, the medium voltage line is normal, if the difference exceeds the difference threshold, the medium voltage line has the risk of abnormal power consumption behavior; Determine whether each substation and dedicated transformer user on the medium-voltage line with the risk of abnormal power consumption has voltage loss behavior. If not, continue. If so, screen and remove the dedicated transformer users before continuing. Measure the phase angle of each node of each substation and dedicated transformer user on the medium voltage line, and calculate the power estimation value of the node based on the phase angle of the node; The power measurement value is obtained, and the absolute value of the difference between the power estimation value and the power measurement value is calculated. If the absolute value of the difference exceeds a preset threshold, the substation or dedicated transformer user node corresponding to the power estimation value is listed as a suspected abnormal node.

2. The method for identifying abnormal power consumption behavior based on line stations and dedicated transformer users according to claim 1 is characterized in that: The setting method of the theoretical line loss calculation is: Calculate the theoretical line loss in a 3-node network, given the apparent power of nodes 2 and 3 and and node 1 voltage Node 2 is a dedicated transformer user, and node 3 is a substation node. The voltage of nodes 2 and 3 is set to the rated voltage of the network.

3. The method for identifying abnormal power consumption behavior based on line stations and dedicated transformer users according to claim 2 is characterized in that: The theoretical line loss calculation process: Forward calculation of the injected power of node 1 Calculate the power loss of branches 2 and 3: Where R 23 , X 23 are the resistance and reactance of branch 23 respectively; Calculate the power loss of branches 1 and 2: Where R 12 , X 12 are the resistance and reactance of branch 12 respectively; Calculate the injected power of node 1: Back-calculate the voltage of node 2 Voltage at Node 3 Repeat the above formula until the voltages of node 2 and node 3 at the t+1th time and the voltages of node 2 and node 3 at the tth time meet the convergence condition; Calculate the theoretical line loss ΔP of branches 2 and 3 and branches 1 and 2 23 and ΔP 12 And the theoretical line loss ΔP 理 : ΔP 理 =ΔP 12 +ΔP 23 。 4. The method for identifying abnormal power consumption behavior based on line stations and dedicated transformer users according to claim 1 is characterized in that: The actual measured line loss value ΔP 实 The calculation formula is: ΔP 实 =S T1 -(S y2 +S y3 ) Where S T1 S is the actual measured head-end injection power. y3 It is the sum of electricity consumption of users in area 3.

5. The method for identifying abnormal power consumption behavior based on line stations and dedicated transformer users according to claim 1 is characterized in that: Among the substations and special transformer users, the substation users are low-supply and low-meter users, and the reference value of the metering circuit voltage is 220V; the special transformer users are high-supply and high-meter users, and the reference value of the metering circuit voltage is 100V; whether there is a voltage loss behavior is determined by whether the actual voltage of the substation and special transformer users deviates from the circuit voltage reference value by more than 50%. If exceeded, it is a voltage loss and phase failure. If not exceeded, there is no voltage loss and phase failure.

6. The method for identifying abnormal power consumption behavior based on line stations and dedicated transformer users according to claim 1 is characterized in that: The calculation process of measuring the phase angle of each substation and dedicated transformer user node on the medium voltage line is as follows: Where: is the voltage amplitude of node 2 obtained by forward-backward power flow calculation, and is the measured value of active and reactive power of node 2; The calculation process of calculating the power estimate of the node based on the phase angle of the node: Among them, j is the node adjacent to node 3, Y ij =G ij +jB ij is the node admittance matrix.

7. Based on the abnormal power consumption behavior identification system of line stations and dedicated transformer users, it is characterized by: include: The line loss calculation module is used to perform theoretical line loss analysis on each medium voltage line and calculate the theoretical line loss by forward-backward substitution to obtain the theoretical line loss value. The abnormality troubleshooting module is used to obtain the actual measured line loss value, calculate the difference between the theoretical line loss value and the actual measured line loss value, and set the difference threshold. If the difference does not exceed the difference threshold, there is no abnormality in the medium-voltage line. If the difference exceeds the difference threshold, there is a risk of abnormal power consumption in the medium-voltage line. The voltage loss judgment module is used to judge whether each substation and dedicated transformer user on the medium-voltage line with the risk of abnormal power consumption behavior has voltage loss behavior. If not, continue the process; if so, filter and remove the dedicated transformer users before continuing; The power calculation module is used to measure the phase angle of each node of each substation and dedicated transformer user on the medium voltage line, and calculate the power estimation value of the node according to the phase angle of the node; The abnormal node determination module is used to obtain the power measurement value, calculate the absolute value of the difference between the power estimation value and the power measurement value, and if the absolute value of the difference exceeds a preset threshold, the substation or dedicated transformer user node corresponding to the power estimation value is listed as a suspected abnormal node.

8. The abnormal electricity consumption behavior identification system based on line area and dedicated transformer users according to claim 7 is characterized in that: The setting method of theoretical line loss calculation in the line loss calculation module is: Calculate the theoretical line loss in a 3-node network, given the apparent power of nodes 2 and 3 and and node 1 voltage Node 2 is a dedicated transformer user, and node 3 is a substation node. The voltages of nodes 2 and 3 are set to the rated voltage of the network. Or the theoretical line loss calculation process in the line loss calculation module: Forward calculation of the injected power of node 1 Calculate the power loss of branches 2 and 3: Where R 23 , X 23 are the resistance and reactance of branch 23 respectively; Calculate the power loss of branches 1 and 2: Where R 12 , X 12 are the resistance and reactance of branch 12 respectively; Calculate the injected power of node 1: Back-calculate the voltage of node 2 Voltage at Node 3 Repeat the above formula until the voltages of node 2 and node 3 at the t+1th time and the voltages of node 2 and node 3 at the tth time meet the convergence condition; Calculate the theoretical line loss ΔP of branches 2 and 3 and branches 1 and 2 23 and ΔP 12 And the theoretical line loss ΔP 理 : ΔP 理 =ΔP 12 +ΔP 23 Or the actual measured line loss value ΔP in the abnormality troubleshooting module 实 The calculation formula is: ΔP 实 =S T1 -(S y2 +S y3 ) Where S T1 is the actual measured head-end injection power, S y3 The sum of electricity consumption of users in area 3; Or in the transformer area and the dedicated transformer user in the voltage loss judgment module, the transformer area user is a low-supply and low-meter user, and the metering circuit voltage reference value is 220V; the dedicated transformer user is a high-supply and high-meter user, and the metering circuit voltage reference value is 100V; whether there is a voltage loss behavior is determined by whether the actual voltage of the transformer area and the dedicated transformer user deviates from the circuit voltage reference value by more than 50%. If it exceeds, it is a voltage loss and phase failure. If not, there is no voltage loss and phase failure. Or the calculation process of measuring the phase angle of each substation and dedicated transformer user node on the medium voltage line in the power calculation module: Where: is the voltage amplitude of node 2 obtained by forward-backward power flow calculation, and is the measured value of active and reactive power of node 2; The calculation process of calculating the power estimate of the node based on the phase angle of the node: Among them, j is the node adjacent to node 3, Y ij =G ij +jB ij is the node admittance matrix.

9. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: The memory stores a computer program that can be run on the processor. When the processor loads and executes the computer program, the method for identifying abnormal power consumption behavior based on line substations and dedicated transformer users as described in any one of claims 1 to 6 is adopted.

10. A computer-readable storage medium having a computer program stored therein, characterized in that: When the computer program is loaded and executed by the processor, the method for identifying abnormal electricity consumption behavior based on line substations and dedicated transformer users as described in any one of claims 1 to 6 is adopted.

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