CN116882766B - Power consumption abnormal distribution risk analysis method and system - Google Patents
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Abstract
The application discloses a power consumption abnormal distribution risk analysis method and a system, wherein the method comprises the following steps: acquiring three-phase current real-time measurement data of each distribution transformer at any acquisition time on a certain day; calculating a three-phase current average value at any acquisition time of a certain day according to the three-phase current real-time measurement data, and selecting the maximum value in the three-phase current average value at any acquisition time of the certain day as the maximum current value of the certain day; calculating rated current values at metering points of the distribution transformer according to capacity parameters of the distribution transformer and the mounting positions of the metering points of the distribution transformer; and calculating the maximum load rate of the distribution transformer on a certain day according to the maximum current value of the certain day and the rated current value of the distribution transformer metering point side, and judging whether the maximum load rate is larger than a first preset threshold value and whether the maximum load rate is smaller than a second preset threshold value. And by acquiring the current measurement data of the transformer, the abnormal distribution transformer is combed under the line, the effect of locating the abnormal distribution transformer range is achieved, and the treatment efficiency is improved.
Description
Technical Field
The application belongs to the technical field of power consumption abnormality analysis, and particularly relates to a power consumption abnormality distribution risk analysis method and system.
Background
With the development of the power industry, the scale of the power distribution network is continuously enlarged, and management tends to be refined. Distribution transformers are one of important links in distribution networks, and electricity consumption conditions of the distribution transformers are important concerns of power companies. Common transformer electricity utilization anomalies include metering device faults, electricity theft by users, etc., which cause electricity leakage. Especially, aiming at the special transformer with large electric quantity, the abnormal electricity consumption conditions such as multiplying power error, false report capacity and the like can bring serious economic loss to an electric company.
However, at present, aiming at the abnormal investigation of power consumption of public and private transformer, an electric power company lacks a set of accurate and effective method, so that the investigation process of line operation and maintenance personnel is long in time consumption, large in workload and low in efficiency. The application provides a power consumption abnormal distribution and transformation risk analysis method and system, which have important significance for mining abnormal power consumption conditions of users, standardizing power consumption behaviors of public and private transformers and ensuring that electric quantity particles are stored in bins.
Disclosure of Invention
The application provides a power consumption abnormal distribution risk analysis method and system, which are used for at least solving one of the technical problems.
In a first aspect, the present application provides a method for analyzing risk of abnormal power consumption, including: acquiring three-phase current real-time measurement data of each distribution transformer at any acquisition time on a certain day; calculating a three-phase current average value and a three-phase current unbalance degree at any acquisition time in a certain day according to the three-phase current real-time measurement data; judging whether the unbalance degree of each three-phase current is larger than a preset threshold value or not on a certain day; if the unbalance degree of a certain three-phase current is not greater than a preset threshold value, selecting a target three-phase current average value at a moment corresponding to the unbalance degree of the certain three-phase current to obtain a target three-phase current average value sequence, wherein the target three-phase current average value sequence comprises at least one target three-phase current average value subsequence, and each target three-phase current average value in the target three-phase current average value subsequence continuously rises or falls based on a time sequence; taking the maximum average value in each target three-phase current average value subsequence as the maximum current value of a certain day; calculating rated current values at metering points of the distribution transformer according to capacity parameters of the distribution transformer and the mounting positions of the metering points of the distribution transformer; calculating the maximum load rate of the distribution transformer for a certain day according to the maximum current value for the certain day and the rated current value at the distribution transformer metering point side, and judging whether the maximum load rate is larger than a first preset threshold value and whether the maximum load rate is smaller than a second preset threshold value; if the maximum load rate is not greater than a first preset threshold value, the risk of multiplying power error or the risk of electricity theft exists; and if the maximum load rate is not smaller than a second preset threshold value, the risk of the capacity of the distribution transformer false alarm exists.
In a second aspect, the present application provides a power consumption abnormality distribution risk analysis system, including: the acquisition module is configured to acquire three-phase current real-time measurement data of each distribution transformer at any acquisition time in a certain day; the first calculation module is configured to calculate a three-phase current average value and a three-phase current unbalance degree at any acquisition time in a certain day according to the three-phase current real-time measurement data; the first judging module is configured to judge whether the unbalance degree of each three-phase current is larger than a preset threshold value or not on a certain day; the selection module is configured to select a target three-phase current average value at a moment corresponding to a certain three-phase current unbalance degree if the certain three-phase current unbalance degree is not greater than a preset threshold value, so as to obtain a target three-phase current average value sequence, wherein the target three-phase current average value sequence comprises at least one target three-phase current average value subsequence, and each target three-phase current average value in the target three-phase current average value subsequence continuously rises or falls based on time sequence; a definition module configured to take the maximum average value in each target three-phase current average value sub-sequence as the maximum current value of a certain day; the second calculation module is configured to calculate rated current values at the metering point side of the distribution transformer according to the capacity parameters of the distribution transformer and the mounting positions of the metering point of the distribution transformer; the second judging module is configured to calculate the maximum load rate of the distribution transformer on a certain day according to the maximum current value of the certain day and the rated current value of the distribution transformer metering point side, and judge whether the maximum load rate is larger than a first preset threshold value and whether the maximum load rate is smaller than a second preset threshold value; the first determining module is configured to have a multiplying power error risk or a power theft risk if the maximum load rate is not greater than a first preset threshold value; and the second determining module is configured to have the risk of distributing the virtual report capacity if the maximum load rate is not smaller than a second preset threshold value.
In a third aspect, there is provided an electronic device, comprising: the system comprises at least one processor and a memory communicatively connected with the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the power consumption anomaly change risk analysis method of any one of the embodiments of the present application.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program comprising program instructions which, when executed by a computer, cause the computer to perform the steps of a power consumption anomaly risk analysis method according to any one of the embodiments of the present application.
According to the power consumption abnormal distribution risk analysis method and device, the abnormal distribution of the operation under the line is combed by acquiring the data such as the real-time measured electric quantity, so that the effect of locating the abnormal distribution range is achieved, the treatment efficiency is greatly improved, the operation and maintenance personnel of the power system are guided to purposefully correct and eliminate the defects, and the method and device have important significance for comprehensively improving the lean management level and the economic operation level of the power grid.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for analyzing risk of abnormal power consumption in accordance with an embodiment of the present application;
FIG. 2 is a block diagram of a power consumption abnormality distribution risk analysis system according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a flowchart of a power consumption anomaly risk analysis method according to the present application is shown.
As shown in FIG. 1, the method for analyzing the risk of abnormal power consumption distribution and transformation specifically comprises the following steps:
step S101, three-phase current real-time measurement data of each distribution transformer at any acquisition time in a certain day are obtained.
Step S102, calculating the three-phase current average value and the three-phase current unbalance degree at any acquisition time in a certain day according to the three-phase current real-time measurement data.
In this step, the expression for calculating the average value of the three-phase current at any one acquisition time on a certain day is:
，
in the method, in the process of the application,is->Day->Three-phase current average value of each acquisition time +.>Is->Day->Real-time measurement value of A-phase current at each acquisition time, < >>Is->Day->B-phase current real-time measurement values at each acquisition time,is->Day->Real-time measurement values of C-phase current at each acquisition time;
the expression for calculating the three-phase current unbalance degree at any acquisition time on a certain day is as follows:
，
in the method, in the process of the application,、/>respectively, the maximum value and the minimum value of the three-phase current values.
And step S103, judging whether the unbalance degree of each three-phase current is larger than a preset threshold value on a certain day.
Step S104, if the unbalance of a certain three-phase current is not greater than a preset threshold, selecting a target three-phase current average value at a moment corresponding to the unbalance of the certain three-phase current to obtain a target three-phase current average value sequence, wherein the target three-phase current average value sequence comprises at least one target three-phase current average value subsequence, and each target three-phase current average value in the target three-phase current average value subsequence continuously rises or falls based on a time sequence.
In this step, the three-phase current average value corresponding to a certain three-phase current unbalance degree larger than a preset threshold value is directly removed, so that the three-phase current generated under the condition of unstable power supply or power failure can be directly removed, if the certain three-phase current unbalance degree is not larger than the preset threshold value, the target three-phase current average value at the moment corresponding to the certain three-phase current unbalance degree is selected to obtain a target three-phase current average value sequence, and each three-phase current average value in the target three-phase current average value sequence is continuously increased or decreased based on time sequence to obtain at least one target three-phase current average value subsequence.
Step S105, the maximum average value in each target three-phase current average value sub-sequence is set as the maximum current value of a certain day.
Step S106, calculating rated current values at metering points of the distribution transformer according to capacity parameters of the distribution transformer and the mounting positions of the metering points of the distribution transformer;
step S107, calculating the maximum load rate of the distribution transformer on a certain day according to the maximum current value on the certain day and the rated current value on the distribution transformer metering point side, and judging whether the maximum load rate is larger than a first preset threshold value and whether the maximum load rate is smaller than a second preset threshold value;
step S108, if the maximum load rate is not greater than a first preset threshold value, the risk of multiplying power error or the risk of electricity theft exists;
step S109, if the maximum load rate is not less than the second preset threshold, there is a risk of capacity allocation and transformation false alarm.
In this embodiment, real-time measurement data of each phase of current of each transformer is obtainedBased on the real-time measurement data of each phase currentCalculating the average value of three-phase current at any momentAnd calculate within a single dayMaximum current value of each acquisition pointI.e.Wherein, the method comprises the steps of, wherein,for a certain day corresponding to the real-time measurement data of each phase of current,the real-time measurement data of the current is the same,is the first day ofCollecting the sample at 1-1% of the sampleAnd the time interval is less than or equal to 24/T, and T is the acquisition time interval, and the unit is hours. Then, in response to the acquired basic parameters of all transformers under the line, calculating rated current of the transformer metering point side based on the basic parameters of all transformers under the lineWherein, all transformer basic parameters under the circuit include all transformer capacity parameters and transformer metering point installation positions. Then according to the single dayMaximum current value of each acquisition pointAnd rated current of the transformer at the metering point sideCalculating the daily maximum load rate of the distribution transformerIf the metering point is arranged on the high-voltage side of the transformer, calculating rated current of the metering point side of the transformerThe expression of (2) is:if the metering point is arranged at the low-voltage side of the transformer, calculating rated current of the metering point side of the transformerThe expression of (2) is:in which, in the process,is the rated capacity of the transformer, the unit is kVA,for the power factor angle, take=0.9. Then, judging the daily maximum load rate of the distribution transformerWhether the first preset threshold is larger than a first preset threshold, wherein the first preset threshold is 20%. Then, if the distribution transformer has a daily maximum load rateIf the power distribution ratio is larger than the first preset threshold value, the risk of multiplying power errors or the risk of power theft exists, and the daily maximum load rate of the distribution transformer is judgedWhether the second preset threshold is smaller than a second preset threshold, wherein the second preset threshold is 150%. Finally, if the distribution transformer has a daily maximum load rateAnd if the capacity is not smaller than the second preset threshold value, the capacity risk of the transformer false alarm exists.
In summary, the method of the embodiment obtains the data such as the real-time measured electric quantity and the like, and combs the abnormal distribution transformer under the line, thereby achieving the effect of locating the abnormal distribution transformer range, greatly improving the treatment efficiency, guiding the operation and maintenance personnel of the electric power system to purposefully correct and eliminate the defects, and having great significance for comprehensively improving the lean management level and the economic operation level of the electric power network.
In a specific application scene, line loss abnormal conditions occur in a continuous multi-day mode on a certain line of 10kV, and line change relations, basic parameters of a transformer, electricity consumption conditions and the like are obtained according to requirements to conduct analysis. Obtaining current measurement data of each phase of the recent distribution transformer 1 to the distribution transformer 23 under the line, calculating the average value of the current of each phase, and obtaining the maximum value of the daily average phase current. Carding the position of a metering point of the transformer, calculating the rated value of the corresponding phase current, and calculating the daily maximum load rate of the transformer. Investigation finds daily maximum load rate of distribution transformer 22Are all smallAt 20%, the transformer is determined to be an abnormal power distribution transformer, and there is a possibility that the metering multiplying power is wrong. After the problems are successfully determined, the power distribution transformer 22 is subjected to multiplying power check on site, and the phenomenon that the daily electric quantity is abnormal and the leakage phenomenon occurs due to the fact that the multiplying power is too small is found, and the line loss of the line is recovered to be normal after the metering multiplying power is adjusted by power failure.
Referring to fig. 2, a block diagram of a power consumption abnormality distribution risk analysis system according to the present application is shown.
As shown in fig. 2, the power consumption abnormality distribution risk analysis system 200 includes an acquisition module 210, a first calculation module 220, a second calculation module 230, a first judgment module 230, a selection module 240, a definition module 250, a second calculation module 260, a second judgment module 270, a first determination module 280, and a second determination module 290.
The acquisition module 210 is configured to acquire three-phase current real-time measurement data of each distribution transformer at any acquisition time on a certain day; a first calculation module 220 configured to calculate a three-phase current average value and a three-phase current unbalance degree at any acquisition time of a certain day according to the three-phase current real-time measurement data; a first judging module 230 configured to judge whether each of the three-phase current imbalances is greater than a preset threshold value on a certain day; a selecting module 240, configured to select a target three-phase current average value at a time corresponding to a certain three-phase current unbalance degree if the certain three-phase current unbalance degree is not greater than a preset threshold value, to obtain a target three-phase current average value sequence, where the target three-phase current average value sequence includes at least one target three-phase current average value subsequence, and each target three-phase current average value in the target three-phase current average value subsequence continuously rises or falls based on a time sequence; a definition module 250 configured to take the maximum average value in each target three-phase current average value sub-sequence as the maximum current value for a day; a second calculation module 260 configured to calculate a rated current value at a metering point side of the distribution transformer according to the capacity parameter of the distribution transformer and the metering point installation position of the distribution transformer; a second judging module 270, configured to calculate a maximum load factor of the distribution transformer for a certain day according to the maximum current value of the certain day and the rated current value of the distribution transformer metering point side, and judge whether the maximum load factor is greater than a first preset threshold and whether the maximum load factor is less than a second preset threshold; a first determining module 280 configured to present a risk of magnification error or a risk of theft of electricity if the maximum load factor is not greater than a first preset threshold; the second determining module 290 is configured to determine that if the maximum load rate is not less than a second preset threshold, there is a risk of capacity conversion.
It should be understood that the modules depicted in fig. 3 correspond to the various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are equally applicable to the modules in fig. 3, and are not described here again.
In other embodiments, the present application further provides a computer readable storage medium, where computer executable instructions are stored, where the computer executable instructions may perform the power consumption anomaly risk analysis method in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present application stores computer-executable instructions configured to:
acquiring three-phase current real-time measurement data of each distribution transformer at any acquisition time on a certain day;
calculating a three-phase current average value at any acquisition time of a certain day according to the three-phase current real-time measurement data, and selecting the maximum value in the three-phase current average value at any acquisition time of the certain day as the maximum current value of the certain day, wherein the expression for calculating the three-phase current average value at any acquisition time of the certain day is as follows:
，
in the method, in the process of the application,is->Day->Three-phase current average value of each acquisition time +.>Is->Day->Real-time measurement value of A-phase current at each acquisition time, < >>Is->Day->B-phase current real-time measurement values at each acquisition time,is->Day->Real-time measurement values of C-phase current at each acquisition time;
calculating rated current values at metering points of the distribution transformer according to capacity parameters of the distribution transformer and the mounting positions of the metering points of the distribution transformer;
calculating the maximum load rate of the distribution transformer for a certain day according to the maximum current value for the certain day and the rated current value at the distribution transformer metering point side, and judging whether the maximum load rate is larger than a first preset threshold value and whether the maximum load rate is smaller than a second preset threshold value;
if the maximum load rate is not greater than a first preset threshold value, the risk of multiplying power error or the risk of electricity theft exists;
and if the maximum load rate is not smaller than a second preset threshold value, the risk of the capacity of the distribution transformer false alarm exists.
The computer readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for a function; the storage data area may store data created according to the use of the power consumption abnormality distribution risk analysis device, or the like. In addition, the computer-readable storage medium may include high-speed random access memory, and may also include memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the computer readable storage medium optionally includes memory remotely located with respect to the processor, the remote memory being connectable to the power use anomaly risk analysis device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application, as shown in fig. 3, where the device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, memory 320, input device 330, and output device 340 may be connected by a bus or other means, for example in fig. 3. Memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running non-volatile software programs, instructions and modules stored in the memory 320, i.e. implementing the power consumption anomaly deployment risk analysis method of the above-described method embodiment. Input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electrical anomaly configuration risk analysis device. The output device 340 may include a display device such as a display screen.
The electronic equipment can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. Technical details not described in detail in this embodiment may be found in the methods provided in the embodiments of the present application.
As an embodiment, the electronic device is applied to an abnormal power consumption risk analysis device, and is used for a client, and includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to:
acquiring three-phase current real-time measurement data of each distribution transformer at any acquisition time on a certain day;
calculating a three-phase current average value at any acquisition time of a certain day according to the three-phase current real-time measurement data, and selecting the maximum value in the three-phase current average value at any acquisition time of the certain day as the maximum current value of the certain day, wherein the expression for calculating the three-phase current average value at any acquisition time of the certain day is as follows:
，
in the method, in the process of the application,is->Day->Three-phase current average value of each acquisition time +.>Is->Day->Real-time measurement value of A-phase current at each acquisition time, < >>Is->Day->B-phase current real-time measurement values at each acquisition time,is->Day->Real-time measurement values of C-phase current at each acquisition time;
calculating rated current values at metering points of the distribution transformer according to capacity parameters of the distribution transformer and the mounting positions of the metering points of the distribution transformer;
calculating the maximum load rate of the distribution transformer for a certain day according to the maximum current value for the certain day and the rated current value at the distribution transformer metering point side, and judging whether the maximum load rate is larger than a first preset threshold value and whether the maximum load rate is smaller than a second preset threshold value;
if the maximum load rate is not greater than a first preset threshold value, the risk of multiplying power error or the risk of electricity theft exists;
and if the maximum load rate is not smaller than a second preset threshold value, the risk of the capacity of the distribution transformer false alarm exists.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product, which may be stored in a computer-readable storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the various embodiments or methods of some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (8)
1. The power consumption abnormal distribution risk analysis method is characterized by comprising the following steps of:
acquiring three-phase current real-time measurement data of each distribution transformer at any acquisition time on a certain day;
calculating a three-phase current average value and a three-phase current unbalance degree at any acquisition time in a certain day according to the three-phase current real-time measurement data;
judging whether the unbalance degree of each three-phase current is larger than a preset threshold value or not on a certain day;
if the unbalance degree of a certain three-phase current is not greater than a preset threshold value, selecting a target three-phase current average value at a moment corresponding to the unbalance degree of the certain three-phase current to obtain a target three-phase current average value sequence, wherein the target three-phase current average value sequence comprises at least one target three-phase current average value subsequence, and each target three-phase current average value in the target three-phase current average value subsequence continuously rises or falls based on a time sequence;
taking the maximum average value in each target three-phase current average value subsequence as the maximum current value of a certain day;
calculating rated current values at metering points of the distribution transformer according to capacity parameters of the distribution transformer and the mounting positions of the metering points of the distribution transformer;
calculating the maximum load rate of the distribution transformer for a certain day according to the maximum current value for the certain day and the rated current value at the distribution transformer metering point side, and judging whether the maximum load rate is more than 20% and whether the maximum load rate is less than 150%;
if the maximum load rate is not more than 20%, the risk of multiplying power error or the risk of electricity theft exists;
if the maximum load rate is not less than 150%, the risk of distributing the virtual report capacity exists.
2. The power consumption abnormality distribution risk analysis method according to claim 1, wherein the expression for calculating the average value of the three-phase current at any one acquisition time on a certain day is:
，
in the method, in the process of the application,is->Day->Three-phase current average value of each acquisition time +.>Is->Day->Real-time measurement value of A-phase current at each acquisition time, < >>Is->Day->B-phase current real-time measurement values of various acquisition moments, < >>Is->Day->Real-time measurement values of C-phase current at each acquisition time;
the expression for calculating the three-phase current unbalance degree at any acquisition time on a certain day is as follows:
，
in the method, in the process of the application,、/>respectively, the maximum value and the minimum value of the three-phase current values.
3. The power consumption abnormality distribution risk analysis method according to claim 1, wherein the expression for calculating the maximum load factor is:
，
in the method, in the process of the application,is->Maximum current value of day, ">The rated current value is measured for the distribution transformer.
4. The method for analyzing risk of abnormal power utilization distribution and transformation according to claim 1, wherein the installation position of the metering point of the distribution transformer is a high-voltage side of the distribution transformer; the expression for calculating the rated current value at the metering point side of the distribution transformer according to the capacity parameter of the distribution transformer and the metering point installation position of the distribution transformer is as follows:
，
in the method, in the process of the application,for the rated capacity of the transformer, < > for>For the power factor angle, get +>=0.9。
5. The power consumption abnormal distribution risk analysis method according to claim 1, wherein the installation position of the metering point of the distribution transformer is the low-voltage side of the distribution transformer; the expression for calculating the rated current value at the metering point side of the distribution transformer according to the capacity parameter of the distribution transformer and the metering point installation position of the distribution transformer is as follows:
，
in the method, in the process of the application,for the rated capacity of the transformer, < > for>For the power factor angle, get +>=0.9。
6. An electrical anomaly distribution risk analysis system, comprising:
the acquisition module is configured to acquire three-phase current real-time measurement data of each distribution transformer at any acquisition time in a certain day;
the first calculation module is configured to calculate a three-phase current average value and a three-phase current unbalance degree at any acquisition time in a certain day according to the three-phase current real-time measurement data;
the first judging module is configured to judge whether the unbalance degree of each three-phase current is larger than a preset threshold value or not on a certain day;
the selection module is configured to select a target three-phase current average value at a moment corresponding to a certain three-phase current unbalance degree if the certain three-phase current unbalance degree is not greater than a preset threshold value, so as to obtain a target three-phase current average value sequence, wherein the target three-phase current average value sequence comprises at least one target three-phase current average value subsequence, and each target three-phase current average value in the target three-phase current average value subsequence continuously rises or falls based on time sequence;
a definition module configured to take the maximum average value in each target three-phase current average value sub-sequence as the maximum current value of a certain day;
the second calculation module is configured to calculate rated current values at the metering point side of the distribution transformer according to the capacity parameters of the distribution transformer and the mounting positions of the metering point of the distribution transformer;
the second judging module is configured to calculate the maximum load rate of the distribution transformer on a certain day according to the maximum current value on the certain day and the rated current value on the distribution transformer metering point side, and judge whether the maximum load rate is more than 20% and whether the maximum load rate is less than 150%;
the first determining module is configured to have a multiplying power error risk or a power theft risk if the maximum load rate is not more than 20%;
and the second determining module is configured to have the risk of distributing the virtual report capacity if the maximum load rate is not less than 150%.
7. An electronic device, comprising: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 5.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any one of claims 1 to 5.
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