CN113253014B

CN113253014B - Method, device and equipment for detecting abnormal topological relation of transformer area subscriber

Info

Publication number: CN113253014B
Application number: CN202110373155.XA
Authority: CN
Inventors: 陈磊; 王忠丽; 崔驰; 何炳哲; 陈国强; 崔晓; 赵慧; 杜林森; 刘晓艳; 薛彦宁; 冯巩; 张帅
Original assignee: State Grid Corp of China SGCC; State Grid Hebei Electric Power Co Ltd; Hengshui Power Supply Co of State Grid Hebei Electric Power Co Ltd
Current assignee: State Grid Corp of China SGCC; State Grid Hebei Electric Power Co Ltd; Hengshui Power Supply Co of State Grid Hebei Electric Power Co Ltd
Priority date: 2021-04-07
Filing date: 2021-04-07
Publication date: 2022-08-23
Anticipated expiration: 2041-04-07
Also published as: CN113253014A

Abstract

The application provides a method, a device and equipment for detecting abnormal topological relation of a transformer area subscriber, wherein the method comprises the following steps: generating a first line loss rate trend curve of the first distribution area, a first electric quantity trend curve of each electric energy meter in the first distribution area, a second line loss rate trend curve of the second distribution area and a second electric quantity trend curve of each electric energy meter in the second distribution area based on distribution area electricity utilization data of the first distribution area and the second distribution area, wherein the first distribution area and the second distribution area are adjacent and the line loss rates of the first distribution area and the second distribution area are abnormal; and determining the type of abnormal variable-subscriber topological relation of the first station area according to the first line loss rate trend curve, the first electric quantity trend curve, the second line loss rate trend curve and the second electric quantity trend curve. According to the method and the device, the abnormal type is determined according to the line loss rate trend curve and the power consumption trend curve, and the detection efficiency of the abnormal detection of the topological relation of the transformer station area subscribers can be improved.

Description

Method, device and equipment for detecting abnormal topological relation of transformer area subscriber

Technical Field

The present application relates to the technical field of power systems, and in particular, to a method, an apparatus, and a device for detecting abnormal topological relation of a transformer substation

Background

The line loss rate is a comprehensive reaction of safe, reliable and stable operation of a power system, and is an important economic and technical index of a power company, and the line loss rate directly reflects the technical level of the company. Due to abnormal topological relation of the transformer area subscriber caused by the problems of abnormal synchronization, negligence of personnel and the like, the line loss of the marketing transformer area is reduced, and the safety of field operating personnel is also concerned.

At present, the topological relation of the transformer station needs to be judged by workers according to experience, and the detection efficiency of the method is low.

Disclosure of Invention

The application aims to provide a method, a device and equipment for detecting abnormal topological relation of a transformer substation area, so as to solve the problem of low efficiency in the detection process of abnormal topological relation of the transformer substation area.

In a first aspect of the embodiments of the present application, a method for detecting an abnormal topological relation between a transformer substation and a subscriber is provided, where the method includes:

acquiring power utilization data of a first power utilization area and a second power utilization area, wherein the power utilization data of the power utilization areas comprise the line loss rate of the power utilization areas and the power utilization data of each electric energy meter in the power utilization areas, and the first power utilization area is adjacent to the second power utilization area;

when the line loss rates of the first station area and the second station area are abnormal, drawing a first line loss rate trend curve of the first station area, a first electric quantity trend curve of each electric energy meter in the first station area, a second line loss rate trend curve of the second station area and a second electric quantity trend curve of each electric energy meter in the second station area according to the station area electric consumption data of the first station area and the second station area;

and determining the type of abnormal variable-subscriber topological relation of the first station area according to the first line loss rate trend curve, the first electric quantity trend curve, the second line loss rate trend curve and the second electric quantity trend curve.

In a second aspect of the embodiments of the present application, a device for detecting an abnormal topological relation between a transformer substation and a subscriber is provided, including:

the data acquisition module is used for acquiring the station area electricity utilization data of the first station area and the second station area, and the station area electricity utilization data comprises the line loss rate of the station area and the electricity utilization data of each electric energy meter in the station area;

the data processing module is used for drawing a first line loss rate trend curve of the first transformer area, a first electric quantity trend curve of each electric energy meter in the first transformer area, a second line loss rate trend curve of the second transformer area and a second electric quantity trend curve of each electric energy meter in the second transformer area according to transformer area electric energy data of the first transformer area and the second transformer area, and determining a first suspected abnormal electric energy meter and a second suspected abnormal electric energy meter;

the data calculation module is used for combining all or part of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter to obtain a plurality of electric energy meter combinations, and for each electric energy meter combination, electric quantity reduction processing is carried out on the electric energy meter combination according to preset different types and line loss rate relational expressions thereof to obtain the line loss rate of the first transformer area and the line loss rate of the second transformer area after the electric energy meter combination is reduced under each abnormal type;

and the data analysis module is used for selecting the electric energy meter combination with the normal first district line loss rate and the normal second district line loss rate in the first district line loss rate and the second district line loss rate after the reduction of all the electric energy meter combinations, and the preset abnormal type corresponding to the electric energy meter combination is the type of abnormal variable-subscriber topological relation of the first district.

In a third aspect of the embodiments of the present application, an electronic device is provided, and includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the foregoing method for detecting abnormality of the platform area subscriber topology relationship when executing the computer program.

In a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, where a computer program is stored, and when being executed by a processor, the computer program implements the steps of the above-mentioned method for detecting an anomaly in a topology relationship between a transformer substation area and a subscriber.

The method, the device and the equipment for detecting the abnormal topological relation of the transformer area subscriber have the advantages that: by acquiring station area power consumption data of a first station area and a second station area, wherein the station area power consumption data comprises the line loss rate of the station area and the power consumption data of each electric energy meter in the station area, the first station area and the second station area are adjacent, and when the line loss rates of the first station area and the second station area are abnormal, a first line loss rate trend curve of the first station area, a first electric quantity trend curve of each electric energy meter in the first station area, a second line loss rate trend curve of the second station area and a second electric quantity trend curve of each electric energy meter in the second station area are generated according to the acquired station area power consumption data of the first station area and the second station area; the method comprises the steps of determining the type of abnormal variable-subscriber topological relation of a first station area according to a first line loss rate trend curve, a first electric quantity trend curve, a second line loss rate trend curve and a second electric quantity trend curve, so that the type of the abnormal variable-subscriber topological relation of the first station area is less in data variety, and the detection efficiency of detecting the abnormal variable-subscriber topological relation of the station area can be improved by detecting the type of the abnormal variable-subscriber topological relation of the station area by utilizing the trend curves.

Drawings

Fig. 1 is a schematic application environment diagram of a method for detecting abnormal topological relation of a transformer substation area subscriber provided in an embodiment of the present application;

fig. 2 is a schematic flow chart of a method for detecting an abnormal topological relation of a transformer substation area according to an embodiment of the present application;

fig. 3 is a schematic flowchart of a method for detecting an abnormal topological relation of a transformer substation area according to another embodiment of the present application;

fig. 4 is a schematic flowchart of a method for detecting an abnormal topological relation of a transformer substation area according to another embodiment of the present application;

fig. 5 is a schematic flow chart illustrating a trend curve drawn in the method for detecting anomaly of topological relations of a transformer substation area subscriber according to an embodiment of the present application;

fig. 6 is a schematic flow chart of a method for detecting an abnormal topology relationship between a transformer substation and a subscriber according to still another embodiment of the present application;

fig. 7 is a schematic diagram of a topology relationship between a transformer substation and a subscriber in a topology relationship anomaly detection process of the transformer substation provided in an embodiment of the present application;

fig. 8 is a schematic diagram of an original line loss rate trend curve of a distribution room in a distribution room subscriber topology relation anomaly detection process according to an embodiment of the present application;

fig. 9A to 9B are schematic diagrams of power consumption trend curves of the electric energy meters in the original zone of the niuzo 1 in the detection process of abnormal topological relations between the subscribers in the zone provided in the embodiment of the present application;

fig. 9C to 9D are schematic diagrams of power consumption trend curves of the electric energy meters in the original nizor 2 distribution room in the distribution room subscriber topology relation anomaly detection process provided in the embodiment of the present application;

fig. 10 is a schematic diagram of a line loss rate trend curve of a distribution room after reduction of electric quantity in a distribution room subscriber topology relation anomaly detection process according to an embodiment of the present application;

fig. 11 is a schematic structural diagram of a device for detecting an abnormal topological relation of a transformer substation area subscriber according to an embodiment of the present application;

fig. 12 is a schematic view of an electronic device for detecting an abnormal topological relation of a transformer substation area provided in an embodiment of the present application.

Detailed Description

In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Fig. 1 is a schematic application environment diagram of a method for detecting an abnormal topological relation of a transformer substation area subscriber according to an embodiment of the present application. The method for detecting the topological relation anomaly of the transformer substation users in the transformer substation area can be applied to the power system in the application environment shown in fig. 1. The power system comprises an electric energy meter 11, a collection device 12, a power utilization information storage device 13, an electronic device 14 and a terminal 15.

Each collection device 12 is configured to collect information including, but not limited to, user power consumption, device identifier, and the like from all the subordinate electric energy meters 11, and the electric energy meters 11 are configured to collect information including user power consumption and the like from users. The power consumption information storage device 13 is used to store information such as power consumption data of the station area, for example, to store the power consumption data of the station area in a database. The electronic device 14 acquires the electricity consumption data of the distribution room from the electricity consumption information storage device 13 to obtain the line loss rate of the distribution room and the electricity consumption of each electric energy meter in the distribution room. The electronic device 14 is configured to draw a first line loss rate trend curve of the first distribution area, a first power consumption trend curve of each power meter in the first distribution area, a second line loss rate trend curve of the second distribution area, and a second power consumption trend curve of each power meter in the second distribution area according to the distribution area power consumption data of the first distribution area and the second distribution area when the line loss rates of the first distribution area and the second distribution area are both abnormal; and determining the type of abnormal variable-subscriber topological relation of the first station area according to the first line loss rate trend curve, the first electric quantity trend curve, the second line loss rate trend curve and the second electric quantity trend curve. The electronic device 14 sends an abnormal type prompt message to the electricity consumption information storage device 13 and/or the terminal 15 to prompt a user of the electricity consumption information storage device 13 and/or the terminal 15, such as a worker of the power system, who can adjust the electric energy meter in the abnormal distribution room on the spot to check defects by using the abnormal type prompt message. Wherein the exception type prompting message may include at least one of: the data such as the identifier of the abnormal area, the identifier of the suspected abnormal electric energy meter in the abnormal area, and the possible abnormal type of the suspected abnormal electric energy meter are not limited.

The electricity consumption information storage device 13 and the electronic device 14 may be the same device or different devices, and are not limited herein. The electrical information storage device 13 and the electronic device 14 may include, but are not limited to, a stand-alone server, a server cluster of servers, a desktop computer, and the like. The terminal 15 may include, but is not limited to, a desktop computer, a notebook computer, a tablet computer, a mobile phone, a vehicle-mounted terminal, and the like.

In an embodiment of the present application, fig. 2 provides a schematic flow chart of a method for detecting an abnormal topological relation of a transformer substation. The method comprises the following steps:

s201: the method comprises the steps of obtaining power utilization data of a first power zone and a second power zone, wherein the power utilization data of the power zones comprise the line loss rate of the power zones and the power utilization data of each electric energy meter in the power zones, and the first power zone is adjacent to the second power zone.

In this embodiment, the station area electricity consumption data may be obtained through a cable, an optical fiber, or a wireless communication device, and is not limited herein. The electricity consumption data of the electricity consumption platform area may include line loss rate, reactive power, active power, and electricity consumption of each electric energy meter under the platform area, which is not limited herein.

S202: when the line loss rates of the first station area and the second station area are both abnormal, drawing a first line loss rate trend curve of the first station area, a first electric quantity trend curve of each electric energy meter in the first station area, a second line loss rate trend curve of the second station area and a second electric quantity trend curve of each electric energy meter in the second station area according to the station area electric consumption data of the first station area and the second station area.

In this embodiment, when the line loss rate of the first station is abnormal, the line loss rate of the second station may be normal or abnormal. And when the line loss rates of the first station area and the second station area are abnormal, drawing the curve.

In this embodiment, the drawing conditions of the line loss rate trend curve and the power consumption trend curve may be based on the change trend of the line loss rate and the power consumption in one day, or may be based on the change trend of the line loss rate and the power consumption in one month, which is not limited herein.

Optionally, when the line loss rate of the first station area is abnormal and the line loss rate of the second station area is normal, the line loss rates of other adjacent station areas of the first station area except the second station area are obtained, and if the line loss rates of other adjacent station areas except the second station area are normal, the abnormal type of the subscriber-variant topological relation of the first station area is determined to be the situation that a power meter subscriber is present in the first station area.

S203: and determining the type of abnormal variable-subscriber topological relation of the first station area according to the first line loss rate trend curve, the first electric quantity trend curve, the second line loss rate trend curve and the second electric quantity trend curve.

In this embodiment, the first line loss rate trend curve and the second line loss rate trend curve may be used for comparison, the second line loss rate trend curve and the first power consumption trend curve may be used for comparison, and the abnormal type of the subscriber-to-subscriber topological relation in the first distribution area may be determined through the cross comparison.

According to the method and the device, a first line loss rate trend curve of a first station area, a first electric quantity trend curve of each electric energy meter in the first station area, a second line loss rate trend curve of a second station area and a second electric quantity trend curve of each electric energy meter in the second station area are generated based on the acquired station area electric consumption data of the first station area and the second station area, wherein the first station area and the second station area are adjacent, and the line loss rates of the first station area and the second station area are abnormal; the method comprises the steps of determining the type of abnormal variable-subscriber topological relation of a first station area according to a first line loss rate trend curve, a first electric quantity trend curve, a second line loss rate trend curve and a second electric quantity trend curve, so that the type of abnormal variable-subscriber topological relation of the first station area is less in data variety required to be acquired, the type of abnormal variable-subscriber topological relation of the station area is detected by utilizing the trend curves, the process is simple, and the detection efficiency is high.

Fig. 3 is a schematic flow chart of a method for detecting an abnormal topological relation of a transformer substation area according to another embodiment of the present application. On the basis of the embodiment of fig. 2, determining the type of the abnormal subscriber topological relationship of the first station area according to the first line loss rate trend curve, the first electric quantity trend curve, the second line loss rate trend curve and the second electric quantity trend curve includes:

s301: and for each electric energy meter in the first area, if the first electric quantity trend curve and the second line loss rate trend curve of the electric energy meter have the same trend, determining that the electric energy meter is a first suspected abnormal electric energy meter.

In this embodiment, whether the power consumption trend curve of the first suspected abnormal electric energy meter and the second line loss rate trend curve have the same trend may be determined by using the curvature comb, or may be determined by using a taylor formula, or may be determined according to a preset condition, which is not limited herein.

S302: and for each electric energy meter in the second transformer area, if the second electric quantity trend curve of the electric energy meter has the same trend as the first line loss rate trend curve, determining that the electric energy meter is a second suspected abnormal electric energy meter.

In this embodiment, whether the power consumption trend curve of the second suspected abnormal electric energy meter and the first line loss rate trend curve have the same trend may be determined by using the curvature comb, or may be determined by using a taylor formula, or may be determined according to a preset condition, which is not limited herein.

In this embodiment, the execution sequence of S301 and S302 is not limited, and S301 and S302 may be executed first, or S302 and S301 may be executed first, or S301 and S302 may be executed in parallel.

S303: and determining the type of the abnormal subscriber topology relationship of the first transformer area according to the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter.

Therefore, the power consumption trend curve of the first suspected abnormal electric energy meter determined by the detection method provided by the embodiment has the same trend as the second line loss rate trend curve of the second district, and the power consumption trend curve of the second suspected abnormal electric energy meter has the same trend as the first line loss rate trend curve of the first district.

In this embodiment, the line loss rate trend curve is compared with the power consumption rate trend curve to determine a first suspected abnormal electric energy meter and a second suspected abnormal electric energy meter, where the power consumption rate trend curve of the first suspected abnormal electric energy meter and the second line loss rate trend curve of the second station area have the same trend, and the power consumption rate trend curve of the second suspected abnormal electric energy meter and the first line loss rate trend curve of the first station area have the same trend. By taking the same trend as a judgment condition, the suspected abnormal electric energy meter can be quickly positioned, and the detection efficiency is further improved.

Fig. 4 is a schematic flow chart of a method for detecting an abnormal topological relation of a transformer substation area according to another embodiment of the present application. On the basis of the embodiment shown in fig. 3, determining the type of the abnormal subscriber topology relationship between the first station area and the second station area according to the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter includes:

s401: and combining all or part of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter to obtain various electric energy meter combinations.

In this embodiment, one or more first suspected abnormal electric energy meters may be provided, one or more second suspected abnormal electric energy meters may be provided, some electric energy meters are selected from all the first suspected abnormal electric energy meters and all the second suspected abnormal electric energy meters, and various combinations may be provided, and the finally obtained multiple electric energy meter combinations may represent all possible combinations of the first suspected abnormal electric energy meters and the second suspected abnormal electric energy meters. For example, the first suspected abnormal electrical energy meter may include the electrical energy meter A, B, the second suspected abnormal electrical energy meter may include the electrical energy meter C, D, and then all or part of the first suspected abnormal electrical energy meter and the second suspected abnormal electrical energy meter are combined, and the obtained multiple electrical energy meter combinations may include combination 1: A. BCD, combination 2: B. ACD, combination 3: C. ABD, combination 4: D. ABC, combination 5: AB. CD, combination 6: AC. BD, combination 7: AD. BC, combination 8: the sequence of the ABCD, the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter is not limited.

S402: and aiming at each electric energy meter combination, carrying out electric quantity reduction processing on the electric energy meter combination according to preset different types and line loss rate relational expressions thereof so as to obtain the line loss rate of the first station area and the line loss rate of the second station area after the electric energy meter combination is reduced under each abnormal type.

In this embodiment, each exception type and the line loss rate relation corresponding to the exception type may be preset, and are not limited herein. And traversing the line loss rate relational expression corresponding to the preset abnormal type for each electric energy meter combination to obtain the line loss rate of the first transformer area and the line loss rate of the second transformer area after the electric energy meter combination is restored under all the preset abnormal types.

Optionally, the preset different types may include at least one of the following: a first exception type, a second exception type, a third exception type, a fourth exception type, and a fifth exception type.

The electric energy meters with the first abnormal type representing abnormity are all energy consumption meters, the abnormal electric energy meters are located in the second distribution area in the system, and the abnormal electric energy meters are located in the first distribution area in the site, so that the line loss relational expression corresponding to the first abnormal type is as follows:

the electric energy meters with the second abnormal type representing abnormity are all energy consumption meters, one part of the abnormal electric energy meters is positioned in a first distribution area in the system, is positioned in a second distribution area in the field, the other part of the abnormal electric energy meters is positioned in the second distribution area in the system, is positioned in the first distribution area in the field, and the corresponding line loss relational expression of the second abnormal type is as follows:

the electric energy meters with the abnormal characteristics of the third abnormal type are all photovoltaic meters, the abnormal electric energy meters are positioned in the second distribution area in the system and positioned in the first distribution area in the site, and the line loss relational expression corresponding to the third abnormal type is as follows:

the electric energy meters with the fourth abnormal type representing abnormity are all photovoltaic meters, one part of the abnormal electric energy meters is positioned in a first distribution area in the system, the abnormal electric energy meters are positioned in a second distribution area in the field, the other part of the abnormal electric energy meters is positioned in the second distribution area in the system, the abnormal electric energy meters are positioned in the first distribution area in the field, and the corresponding line loss relational expression of the fourth abnormal type is as follows:

the electric energy meter with the fifth anomaly type representing the anomaly comprises at least one photovoltaic meter and at least one energy utilization meter, wherein the at least one photovoltaic meter is located in a second region in the system and is located in a first region in the field, the at least one energy utilization meter is located in the first region in the system and is located in the second region in the field, and the line loss relational expression corresponding to the fifth anomaly type is as follows:

in the above formula, S _x 、S _y Respectively representing the line loss rate before the electric quantity of the first station area and the second station area is reduced; s' _x 、S′ _y Respectively representing the line loss rates of the first and second power areas after the electric quantity reduction; w _Gx 、W _Gy Respectively representing the total electric quantity of the gateway side of the first station area and the second station area; w _xj Representing the power consumption of the jth abnormal electric energy meter in the first area, wherein n is the total number of the abnormal electric energy meters in the first area; w _yi And m is the total number of the abnormal electric energy meters in the second area.

In the above-listed abnormal types, the electric energy meter may include an energy consumption meter and/or a photovoltaic meter, wherein the energy consumption meter is a common household electric energy meter, such as a meter for measuring how much electric energy a user uses from a power grid, and the photovoltaic meter is a photovoltaic user gateway electric energy meter, such as a meter for measuring how much electric energy the user transfers to the power grid through photovoltaic power generation.

S403: and determining the specified abnormal type as the type of the abnormal variable-subscriber topological relation of the first transformer area, wherein the reduced line loss rate of the first transformer area and the reduced line loss rate of the second transformer area corresponding to any electric energy meter combination are normal under the specified abnormal type.

In this embodiment, an electric energy meter combination with a normal line loss rate of the first district and a normal line loss rate of the second district after the electric energy reduction is selected, and the abnormal types used by the electric energy meter combination and corresponding to the electric energy reduction formula are the abnormal types of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter.

According to the embodiment of the application, the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter are combined in multiple modes, and the multiple electric energy meter combinations can represent all possible combinations of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter. And traversing the electric quantity reduction formulas in all the preset types by combining various electric energy meters, and finally determining the electric energy meter combination with normal line loss rate of the first district and normal line loss rate of the second district after electric quantity reduction. In the embodiment, all possible abnormal types of the electric energy meter are considered, and the abnormal types of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter can be accurately found out.

Fig. 5 is a schematic flow chart illustrating a process of drawing a trend curve in a method for detecting abnormal topological relation of a transformer substation area, according to power consumption data of a first substation area and a second substation area based on the embodiment shown in fig. 3, drawing a first line loss rate trend curve of the first substation area, a first power consumption trend curve of each power meter in the first substation area, a second line loss rate trend curve of the second substation area, and a second power consumption trend curve of each power meter in the second substation area, including:

s501: and drawing the line loss rate of the first station area in a preset time period every day into a first coordinate system and performing curve fitting to obtain a first line loss rate trend curve, wherein the horizontal axis of the first coordinate system represents the date, and the vertical axis represents the line loss rate of the station area.

In this embodiment, the preset time period may be set according to actual conditions, and the curve fitting method may adopt an interpolation method, a polishing method or a least square method, which is not limited herein.

S502: drawing the daily power consumption of each electric energy meter in a preset time period into a second coordinate system and carrying out curve fitting on the power consumption of each electric energy meter in the first transformer area to obtain a first power consumption trend curve of each electric energy meter; wherein the horizontal axis of the second coordinate system represents date and the vertical axis represents electricity usage.

In the embodiment, the electricity data of each electric energy meter generates a power consumption trend curve. And drawing the power consumption trend curves of all the electric energy meters in the first area in a second coordinate system to form a first power consumption trend curve.

S503: and drawing the station area line loss rate of the second station area in a preset time period into a third coordinate system and performing curve fitting to obtain a second line loss rate trend curve, wherein the horizontal axis of the third coordinate system represents the date, and the vertical axis represents the line loss rate of the station area.

In this embodiment, the third coordinate system and the first coordinate system may be the same coordinate system or different coordinate systems, and are not limited herein.

S504: and for each electric energy meter in the second area, drawing the daily electricity consumption of the electric energy meter in a preset time period into a fourth coordinate system, and performing curve fitting to obtain a second electricity consumption trend curve of the electric energy meter, wherein the horizontal axis of the fourth coordinate system represents the date, and the vertical axis represents the electricity consumption.

In this embodiment, the fourth coordinate system and the second coordinate system may be the same coordinate system or different coordinate systems, and are not limited herein.

In the present embodiment, the execution order of S501, S502, S503, and S504 is not limited, and may be executed in any order or in parallel.

Fig. 6 is a schematic flow chart of a method for detecting an abnormal topology relationship between a transformer substation area and a subscriber according to still another embodiment of the present application. On the basis of the embodiment shown in fig. 5, determining whether the first electric quantity trend curve and the second electric quantity trend curve, and the second electric quantity trend curve and the first electric quantity trend curve have the same trend includes:

s601: and respectively determining a maximum value and a minimum value in the first line loss rate trend curve, the first electric quantity trend curve of each electric energy meter in the first distribution area, the second line loss rate trend curve and the second electric quantity trend curve of each electric energy meter in the second distribution area, and dates corresponding to the maximum value and the minimum value.

In this embodiment, all extreme points in the first line loss rate trend curve, the first electric quantity trend curve of each electric energy meter in the first distribution area, the second line loss rate trend curve, the second electric quantity trend curve of each electric energy meter in the second distribution area, and the dates corresponding to the extreme points are recorded.

S602: and calculating the number of dates when the first electric quantity trend curve and the second line loss rate trend curve of the electric energy meter have maximum values or minimum values at the same time aiming at each electric energy meter in the first area, and if the number of dates reaches a preset proportion, determining that the first electric quantity trend curve and the second line loss rate trend curve of the electric energy meter have the same trend.

In this embodiment, for the first power consumption trend curve of each power meter in the first zone, a date when the first power consumption trend curve and the second power consumption trend curve of the power meter have a maximum value or a minimum value at the same time is recorded, and the date is recorded as a special date. And calculating the total number of the special dates, and if the total number of the special dates reaches a preset proportion, determining that the first electric quantity trend curve of the electric energy meter and the second line loss rate trend curve of the second distribution area have the same trend.

S603: and calculating the number of dates when the second electric quantity trend curve and the first line loss rate trend curve of the electric energy meter have maximum values or minimum values at the same time aiming at each electric energy meter in the second station area, and if the number of the dates reaches a preset proportion, determining that the second electric quantity trend curve and the first line loss rate trend curve of the electric energy meter have the same trend.

In this embodiment, for the first power trend curve of each power meter in the second area, a date when the second power trend curve of the power meter and the first line loss rate trend curve have a maximum value or a minimum value at the same time is recorded, and the date is recorded as a special date. And calculating the total number of the special dates, and if the total number of the special dates reaches a preset proportion, determining that the second electric quantity trend curve of the electric energy meter has the same trend with the first line loss rate trend curve of the first distribution area.

According to the embodiment of the application, the number of the dates with the extreme points is calculated by recording the extreme points, so that whether the comparison objects have the same trend or not is judged. The comparison object is that the first line loss rate trend curve is compared with the second electricity quantity trend curve of each electric energy meter in the second station area, and the second line loss rate trend curve is compared with the electricity consumption trend curve of each electric energy meter in the first station area.

The above-mentioned method for detecting an anomaly of a topology relationship between a station area and a subscriber is described below with an implementation example. In this embodiment, the station-to-user topological relation is as shown in fig. 7, where a transformer x is disposed in the station x, and a transformer y is disposed in the station y. A plurality of branch boxes are connected below each transformer, a plurality of low-voltage access points are arranged below each branch box, a plurality of electric energy meter boxes can be connected below each access point, a plurality of electric energy meters can be arranged in each electric energy meter box, and the electric energy meters in each electric energy meter box can be energy consumption meters or photovoltaic meters.

In this embodiment, a description will be given by taking an example of an analysis process of specific data of two adjacent zones, namely, an ox 1 zone and an ox 2 zone, from a certain power supply company. Table 1 shows the respective line loss rates and the packed integrated line loss rates of two zones of the niuzo 1 zone and the niuzo 2 zone for 14 consecutive days.

TABLE 1 respective line loss rate and packed comprehensive line loss rate of niuzo 1 and niuzo 2 for 14 consecutive days

As can be seen from table 1, the line loss rate of the zone of nizou 1 is negative for 14 consecutive days, the average daily line loss rate is-27.76%, the line loss rate of the zone of nizou 2 is positive for 14 consecutive days, the average daily line loss rate is 34.29%, the comprehensive average daily line loss rate of the two zones after packaging is 3.24%, the two zones are normal line loss, and the existence of abnormal variable-household topological relation in the two zones is preliminarily determined.

The line loss rates of the two areas and the power consumption of each user are subjected to curve fitting through MATLAB, and the obtained results are shown in fig. 8 and fig. 9, wherein fig. 8 is a schematic diagram of an original line loss rate trend curve of the area, fig. 9(a) and fig. 9(b) are schematic diagrams of power consumption trend curves of each electric energy meter in the original niuzo 1 area, and fig. 9(c) and fig. 9(d) are schematic diagrams of power consumption trend curves of each electric energy meter in the original niuzo 2 area.

As can be seen from comparison of the line loss rate trend curve of the zone of mozu 2 in fig. 8 with fig. 9(a) and 9(b), the trends of the electric quantity trend curves of the meter 1, the meter 5, the meter 15 and the meter 16 are relatively close to the trend curve of the line loss rate trend curve of the zone of mozu 2. Taking the data of the electric quantity of the meter 16 as an example, the electric quantity is at a high point on

days

2, 6, 10 and 12, at a low point on

days

4 and 11, the line loss rate of the table 2 area of the cattle-assist is at a high point on

days

2, 6, 9 and 12, and at a low point on

days

4, 8 and 11, the trends of the two are substantially the same, so that the suspected topological abnormality of the meter 16 is marked as a first suspected abnormal electric energy meter of the table 1 area of the cattle-assist, and the suspected topological abnormality of the meter 1, the meter 5 and the meter 15 is also marked as a first suspected abnormal electric energy meter.

As can be seen from comparison of the line loss rate trend curve of the zone of mozu 1 in fig. 8 with fig. 9(c) and 9(d), the trends of the electric quantity trend curves of the

meters

2, 6 and 9 are closer to the line loss rate trend curve of the zone of mozu 1. Taking the data of the electric quantity of the meter 2 as an example, the electric quantity is at a high point on

days

3, 6, 10 and 13, is at a low point on

days

4, 8 and 12, the line loss rate of the table 1 area of the cattle table is at a high point on

days

3, 6 and 10, and is at a low point on

days

2, 4, 8 and 13, and the trends of the two are approximately the same, so that the suspected topological abnormality of the meter 2 is marked as a second suspected abnormal electric energy meter of the table 2 of the cattle table, and similarly, the suspected topological abnormality of the meter 6 and the meter 9 is also marked as a second suspected abnormal electric energy meter.

Combining the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter in a permutation and combination manner to obtain a plurality of electric energy meter combinations, for example, the electric energy meter combinations may include combination 1:

meter

2, 6, 1 is one group and

meter

5, 9, 15, 16 is another group; and (3) combination 2: the

meters

2, 6 and 5 are in one group, the

meters

1, 9, 15 and 16 are in another group, and the electric energy meter combinations are 64 in total, which is not listed. And according to the preset abnormal type and an electric quantity reduction formula corresponding to the preset abnormal type, carrying out electric quantity reduction on the electric energy meter suspected to be abnormal.

After the electric quantity is reduced, it is determined that the

meter

1, 5, 15 and 16 are in one group, and the

meter

2, 6 and 9 are in one group, the corresponding reduced line loss rate of the table area of cattle & adjuvant 1 and the line loss rate of the table area of cattle & adjuvant 2 are normal, and a schematic diagram of the line loss rate of the table area after the electric quantity is reduced is shown in fig. 10. As can be seen from fig. 10, after the exchange, the line loss rates of both the zones return to normal, and in the combination of the electric energy meters, the electric quantities of the meter 1, the meter 5, the meter 15, and the meter 16 in the zone of the table 1 of the cattle zor are reduced to the zone of the table 2 of the cattle zor, and the electric quantities of the meter 2, the meter 6, and the meter 9 in the zone of the table 2 of the cattle zor are reduced to the zone of the table 1 of the cattle zor, so that it can be determined that the first suspected abnormal electric energy meter in the zone of the cattle zor 1 and the second suspected abnormal electric energy meter in the zone of the cattle zor 2 are in series.

It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not limit the implementation process of the embodiments of the present invention in any way.

Fig. 11 is a block diagram of a structure of a device 100 for detecting an abnormal topological relation of a transformer substation area subscriber according to an embodiment of the present application. For convenience of explanation, only portions related to the embodiments of the present application are shown. As shown in fig. 11, the apparatus includes:

the data acquisition module 101 is configured to acquire station area power consumption data of a first station area and a second station area, where the station area data includes a station area line loss rate and power consumption data of each electric energy meter in the station area;

the data processing module 102 is configured to draw a first line loss rate trend curve of the first distribution area, a first power consumption trend curve of each power meter in the first distribution area, a second line loss rate trend curve of the second distribution area, and a second power consumption trend curve of each power meter in the second distribution area according to distribution area power consumption data of the first distribution area and the second distribution area, and determine a first suspected abnormal power meter and a second suspected abnormal power meter;

the data calculation module 103 is configured to combine all or part of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter to obtain multiple electric energy meter combinations, and perform electric quantity reduction processing on the electric energy meter combinations according to preset different types and line loss rate relational expressions thereof for each electric energy meter combination to obtain line loss rates of the first distribution area and the second distribution area of the electric energy meter combinations after reduction under each abnormal type;

and the data analysis module 104 is configured to select a power meter combination with a normal first district line loss rate and a normal second district line loss rate after the reduction of all power meter combinations, where a preset abnormal type corresponding to the power meter combination is a type of abnormal subscriber-to-subscriber topological relation of the first district.

Optionally, the data obtaining module 101 may further be configured to: and when the line loss rate of the first station area is abnormal and the line loss rate of the second station area is normal, acquiring the line loss rates of other adjacent station areas except the second station area of the first station area.

Optionally, the data processing module 102 may be further configured to: drawing the line loss rate of the first transformer area in a preset time period every day into a first coordinate system and carrying out curve fitting to obtain a first line loss rate trend curve, wherein the horizontal axis of the first coordinate system represents the date, and the vertical axis represents the line loss rate of the transformer area;

drawing the daily power consumption of each electric energy meter in a preset time period into a second coordinate system and performing curve fitting to obtain a first power consumption trend curve of the electric energy meter aiming at each electric energy meter in the first region; wherein, the horizontal axis of the second coordinate system represents date, and the vertical axis represents power consumption;

drawing the line loss rate of the second station area in a third coordinate system every day in a preset time period and performing curve fitting to obtain a second line loss rate trend curve, wherein the horizontal axis of the third coordinate system represents the date, and the vertical axis represents the line loss rate of the station area;

drawing the daily power consumption of each electric energy meter in a preset time period into a fourth coordinate system and performing curve fitting to obtain a second power consumption trend curve of the electric energy meter aiming at each electric energy meter in the second station area, wherein the horizontal axis of the fourth coordinate system represents the date, and the vertical axis represents the power consumption;

calculating the number of dates when a first electric quantity trend curve and a second line loss rate trend curve of each electric energy meter in a first area have maximum values or minimum values at the same time, and if the number of the dates reaches a preset proportion, determining that the first electric quantity trend curve and the second line loss rate trend curve of each electric energy meter have the same trend;

and calculating the number of dates that the second electric quantity trend curve and the first line loss rate trend curve of the electric energy meter have the maximum value or the minimum value at the same time aiming at each electric energy meter in the second area, and if the number of dates reaches a preset proportion, determining that the second electric quantity trend curve and the first line loss rate trend curve of the electric energy meter have the same trend.

Optionally, the data calculation module 103 may further perform power reduction on the first and second distribution areas according to a preset abnormal type and a power reduction formula corresponding to the preset abnormal type, and by using power consumptions of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter. The preset exception type may include at least one of: a first exception type, a second exception type, a third exception type, a fourth exception type, and a fifth exception type.

The electric energy meters with the first abnormal type representing abnormity are all energy consumption meters, the abnormal electric energy meters are located in the second distribution area in the system and located in the first distribution area in the site, and therefore the line loss relational expression corresponding to the first abnormal type is as follows:

the electric energy meters with the second abnormal type representing abnormity are all energy consumption meters, one part of the abnormal electric energy meters is located in a first distribution area in the system, is located in a second distribution area in the site, the other part of the abnormal electric energy meters is located in the second distribution area in the system, is located in the first distribution area in the site, and the corresponding line loss relational expression of the second abnormal type is as follows:

the electric energy meters with the abnormal characteristics of the third abnormal type are all photovoltaic meters, the abnormal electric energy meters are located in the second distribution area in the system and located in the first distribution area in the site, and the line loss relational expression corresponding to the third abnormal type is as follows:

the electric energy meter with the fifth anomaly type representing anomaly comprises at least one photovoltaic meter and at least one energy utilization meter, wherein the at least one photovoltaic meter is located in a second distribution area in the system and is located in a first distribution area in the field, the at least one energy utilization meter is located in the first distribution area in the system and is located in the second distribution area in the field, and the line loss relational expression corresponding to the fifth anomaly type is as follows:

in the above formula, S _x 、S _y Respectively representing the line loss rate before the electric quantity of the first station area and the second station area is reduced; s' _x 、S′ _y Respectively representing the line loss rate after the electric quantity of the first station area and the second station area is reduced; w _Gx 、W _Gy Respectively representing the total electric quantity of the gateway sides of the first transformer area and the second transformer area; w _xj Representing the power consumption of the jth abnormal electric energy meter in the first area, wherein n is the total number of the abnormal electric energy meters in the first area; w _yi Representing the electricity consumption of the ith abnormal electric energy meter in the second area,and m is the total number of the abnormal electric energy meters in the second area.

The device for detecting abnormality of topology relationship of a transformer area provided in this embodiment may be used to implement the method embodiments described above, and the implementation principle and technical effect thereof are similar, and this embodiment is not described herein again.

Referring to fig. 12, fig. 12 is a schematic block diagram of an electronic device according to an embodiment of the present invention. The electronic device 1200 in the present embodiment as shown in fig. 12 may include, but is not limited to, at least one of the following: one or more processors 1201, one or more input devices 1202, one or more output devices 1203, and one or more memories 1204. The processor 1201, the input device 1202, the output device 1203 and the memory 1204 are all in communication with each other via a communication bus 1205. The memory 1204 is used to store a computer program, which includes program instructions. The processor 1201 is used to execute program instructions stored by the memory 1204.

It should be understood that, in the embodiment of the present invention, the Processor 1201 may be a Central Processing Unit (CPU), and the Processor may be other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The input device 1202 may include a touch pad, a fingerprint sensor (for collecting fingerprint information of a user and direction information of the fingerprint), a microphone, etc., and the output device 1203 may include a display (LCD, etc.), a speaker, etc.

The memory 1204 may include both read-only memory and random access memory, and provides instructions and data to the processor 1201. A portion of the memory 1204 may also include non-volatile random access memory. For example, the memory 1204 may also store information of device types.

In specific implementation, the processor 1201, the input device 1202, and the output device 1203 described in the embodiment of the present invention may execute the implementation manner described in the embodiment of the method provided in the embodiment of the present invention, and details are not described herein again.

In another embodiment of the present invention, a computer-readable storage medium is provided, in which a computer program is stored, where the computer program includes program instructions, and the program instructions, when executed by a processor, implement all or part of the processes in the method of the above embodiments, and may also be implemented by a computer program instructing associated hardware, and the computer program may be stored in a computer-readable storage medium, and the computer program, when executed by a processor, may implement the steps of the above methods embodiments. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like. It should be noted that the computer-readable medium may contain suitable additions or subtractions depending on the requirements of legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer-readable media excludes electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.

The computer readable storage medium may be an internal storage unit of the terminal of any of the foregoing embodiments, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk provided on the terminal, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing computer programs and other programs and data required by the terminal. The computer-readable storage medium may also be used to temporarily store data that has been output or is to be output.

Those of skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of clearly illustrating the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

Claims

1. A method for detecting abnormal topological relation of a transformer station area is characterized by comprising the following steps:

acquiring power utilization data of a first power utilization zone and a second power utilization zone, wherein the power utilization data of the power utilization zones comprise the line loss rate of the power utilization zones and the power utilization data of each electric energy meter in the power utilization zones, and the first power utilization zone is adjacent to the second power utilization zone;

when the line loss rates of the first station area and the second station area are both abnormal, drawing a first line loss rate trend curve of the first station area, a first electric quantity trend curve of each electric energy meter in the first station area, a second line loss rate trend curve of the second station area and a second electric quantity trend curve of each electric energy meter in the second station area according to the station area electric power data of the first station area and the second station area;

and for each electric energy meter under the first station area, if a first electric quantity trend curve of the electric energy meter has the same trend with a second line loss rate trend curve, determining that the electric energy meter is a first suspected abnormal electric energy meter, for each electric energy meter under the second station area, if a second electric quantity trend curve of the electric energy meter has the same trend with the first line loss rate trend curve, determining that the electric energy meter is a second suspected abnormal electric energy meter, and determining the type of abnormal variable subscriber topology relation of the first station area according to the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter.

2. The method according to claim 1, wherein the determining, according to the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter, the type of the abnormal subscriber-to-subscriber topology relationship between the first station area and the second station area includes:

combining all or part of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter to obtain various electric energy meter combinations;

for each electric energy meter combination, carrying out electric quantity reduction processing on the electric energy meter combination according to preset different types and line loss rate relational expressions thereof so as to obtain the line loss rate of a first transformer area and the line loss rate of a second transformer area of the electric energy meter combination after reduction under each abnormal type;

and determining an appointed exception type as the type of the abnormal variable-subscriber topological relation of the first transformer area, wherein the reduced line loss rate of the first transformer area and the reduced line loss rate of the second transformer area corresponding to any electric energy meter combination are normal under the appointed exception type.

3. The method as claimed in claim 2, wherein the preset anomaly types include at least one of:

a first exception type, a second exception type, a third exception type, a fourth exception type, and a fifth exception type;

the electric energy meters with the first abnormal type representing abnormity are all energy consumption meters, the abnormal electric energy meters are located in the second transformer area in the system and located in the first transformer area in the site, and the line loss relational expression corresponding to the first abnormal type is as follows:

the electric energy meters with the second abnormal type representing abnormity are all energy consumption meters, one part of the abnormal electric energy meters is located in the first transformer area in the system, the second transformer area in the site, the other part of the abnormal electric energy meters is located in the second transformer area in the system, the second transformer area in the site, and the line loss relational expression corresponding to the second abnormal type is as follows:

the electric energy meters with the abnormal third abnormal type are all photovoltaic meters, the abnormal electric energy meters are located in the second transformer area in the system and located in the first transformer area in the site, and the line loss relational expression corresponding to the third abnormal type is as follows:

the electric energy meters with the fourth abnormal type representing abnormity are all photovoltaic meters, one part of the abnormal electric energy meters is located in the first transformer area in the system, the second transformer area in the site, the other part of the abnormal electric energy meters is located in the second transformer area in the system, the second transformer area in the site is located in the first transformer area, and the line loss relational expression corresponding to the fourth abnormal type is as follows:

the electric energy meter with the fifth anomaly type representing anomaly comprises at least one photovoltaic meter and at least one energy consumption meter, wherein the at least one photovoltaic meter is located in the second region in the system and is located in the first region in the field, the at least one energy consumption meter is located in the first region in the system and is located in the second region in the field, and the line loss relation corresponding to the fifth anomaly type is as follows:

wherein S is _x 、S _y Respectively representing the line loss rate before the electric quantity of the first station area and the second station area is reduced; s' _x 、S′ _y Respectively representing the line loss rate after the electric quantity of the first station area and the second station area is reduced; w _Gx 、W _Gy Respectively representing the total electric quantity of the first station area and the second station area at the gateway side; w is a group of _xj Representing the electricity consumption of the jth abnormal electric energy meter in the first area, wherein n is the total number of the abnormal electric energy meters in the first area; w _yi And m is the total number of the abnormal electric energy meters in the second area.

4. The method according to claim 1, wherein the line loss rate of the transformer area comprises a line loss rate of the transformer area every day within a preset time period, and the power consumption data of each electric energy meter comprises a power consumption of each electric energy meter every day within the preset time period;

according to the district power consumption data of the first district and the second district, drawing a first line loss rate trend curve of the first district, a first power consumption trend curve of each electric energy meter in the first district, a second line loss rate trend curve of the second district, and a second power consumption trend curve of each electric energy meter in the second district, including:

drawing the line loss rate of the first transformer area in the preset time period every day into a first coordinate system and carrying out curve fitting to obtain a first line loss rate trend curve, wherein the horizontal axis of the first coordinate system represents the date, and the vertical axis represents the line loss rate of the transformer area;

for each electric energy meter in the first station area, drawing the daily power consumption of the electric energy meter in the preset time period into a second coordinate system and performing curve fitting to obtain a first power consumption trend curve of the electric energy meter; wherein the horizontal axis of the second coordinate system represents date and the vertical axis represents electricity consumption;

drawing the line loss rate of the second transformer area in the preset time period every day into a third coordinate system and performing curve fitting to obtain a second line loss rate trend curve, wherein the horizontal axis of the third coordinate system represents the date, and the vertical axis of the third coordinate system represents the line loss rate of the transformer area;

and for each electric energy meter in the second platform area, drawing the daily electricity consumption of the electric energy meter in the preset time period into a fourth coordinate system, and performing curve fitting to obtain a second electricity consumption trend curve of the electric energy meter, wherein the horizontal axis of the fourth coordinate system represents the date, and the vertical axis represents the electricity consumption.

5. The method for detecting abnormal topological relation of transformer substations according to claim 4, wherein said method further comprises:

respectively determining a maximum value and a minimum value in the first line loss rate trend curve, the first electric quantity trend curve of each electric energy meter in the first district, the second line loss rate trend curve and the second electric quantity trend curve of each electric energy meter in the second district, and dates corresponding to the maximum value and the minimum value;

calculating the number of dates when the first electric quantity trend curve and the second line loss rate trend curve of each electric energy meter in the first area have the maximum value or the minimum value at the same time, and if the number of the dates reaches a preset proportion, determining that the first electric quantity trend curve and the second line loss rate trend curve of each electric energy meter have the same trend;

and calculating the number of dates when the second electric quantity trend curve of the electric energy meter and the first line loss rate trend curve have maximum values or minimum values at the same time aiming at each electric energy meter in the second region, and if the number of the dates reaches a preset proportion, determining that the second electric quantity trend curve of the electric energy meter and the first line loss rate trend curve have the same trend.

6. The method for detecting abnormal topological relation of transformer substations according to claim 1, wherein the method further comprises:

when the first station area is abnormal and the line loss rate of the second station area is normal, obtaining the line loss rates of other adjacent station areas except the second station area of the first station area, and if the line loss rates of other adjacent station areas except the second station area are normal, determining that the abnormal type of the subscriber-changing topological relation of the first station area is that an electric energy meter subscriber exists in the first station area.

7. An abnormal detection device for a topological relation of a transformer station, which is characterized by comprising:

the data acquisition module is used for acquiring the station area power consumption data of the first station area and the second station area, wherein the station area data comprises the line loss rate of the station area and the power consumption data of each electric energy meter in the station area;

the data processing module is used for drawing a first line loss rate trend curve of the first distribution area, a first electric quantity trend curve of each electric energy meter in the first distribution area, a second line loss rate trend curve of the second distribution area and a second electric quantity trend curve of each electric energy meter in the second distribution area according to distribution area power consumption data of the first distribution area and the second distribution area, and determining a first suspected abnormal electric energy meter and a second suspected abnormal electric energy meter;

the data calculation module is used for combining all or part of the first suspected abnormal electric energy meter and the second suspected abnormal electric energy meter to obtain a plurality of electric energy meter combinations, and for each electric energy meter combination, performing electric quantity reduction processing on the electric energy meter combination according to each preset abnormal type and a line loss rate relational expression thereof to obtain a line loss rate of a first transformer area and a line loss rate of a second transformer area after the electric energy meter combination is reduced under each abnormal type;

and the data analysis module is used for selecting the electric energy meter combination with the normal line loss rate of the first power distribution area and the normal line loss rate of the second power distribution area from the line loss rates of the first power distribution area and the second power distribution area after the reduction of all the electric energy meter combinations, and the preset abnormal type corresponding to the electric energy meter combination is the type of the abnormal variable-subscriber topological relation of the first power distribution area.

8. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the steps of the method according to any of claims 1 to 6 are implemented when the computer program is executed by the processor.

9. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of a method according to any one of claims 1 to 6.