CN112688428B

CN112688428B - 10-kilovolt power grid synchronous line loss treatment method based on Internet of things technology

Info

Publication number: CN112688428B
Application number: CN202011517346.0A
Authority: CN
Inventors: 卢兆军; 宋士瞻; 刘振虎; 袁飞; 刘玉娇; 康文文; 李森; 李国亮; 郝琨
Original assignee: Zaozhuang Power Supply Co of State Grid Shandong Electric Power Co Ltd
Current assignee: Zaozhuang Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date: 2020-12-21
Filing date: 2020-12-21
Publication date: 2023-07-25
Anticipated expiration: 2040-12-21
Also published as: CN112688428A

Abstract

The invention relates to the technical field of power grid operation, in particular to a 10 kilovolt power grid contemporaneous line loss management method based on the Internet of things technology.

Description

10-kilovolt power grid synchronous line loss treatment method based on Internet of things technology

Technical Field

The invention relates to the technical field of power grid operation, in particular to a 10 kilovolt power grid synchronous line loss treatment method based on the Internet of things technology.

Background

The line loss is energy loss generated in the transmission process of the power transmission line, and in order to reduce the line loss, a power supply enterprise generally adopts 35-220 kV high-voltage transmission on the power transmission line, but the end of a power supply network needs to be reduced to 10kV to be connected with each power supply area, and then the power supply area is reduced to 220-380V to be connected with power users. The 10kV power distribution network has the characteristics of multiple voltage levels, complex network structure, multiple equipment types, multiple operation points, relatively poor safety environment and the like, so that the line loss of the power distribution network is relatively difficult to manage and control. At present, the following problems still exist:

(1) The 10kV power distribution network files are manually recorded by power supply enterprise personnel, line file errors are caused by human errors in the file recording process, for example, a line A user files a line B, so that the electricity consumption of the line A is reduced under the condition that the electricity consumption of the line A is unchanged, and the line loss rate [ line electricity consumption-line electricity consumption)/line electricity consumption ] of the line A is increased; the line loss rate of the electricity consumption of the line B is reduced;

(2) The file establishment of the 10kV power distribution network is not timely, after the power distribution project is finished, the file is established timely, and the file is established after the actual power supply due to negligence of staff, so that the power supply quantity of a line is increased, the power consumption is unchanged, and the line loss rate is increased;

(3) The 10kV power distribution network is of a typical tree structure, one or more supply nodes, a plurality of branch leaf nodes and a network topology of the 10kV power distribution network are generated according to a power grid file, and file errors are network topology graph errors;

(4) At present, a power supply enterprise collects power supply and power consumption information of a power supply network through an electric energy meter arranged at a 10kV power distribution network, a power supply node (root node) and an electric energy meter of a power consumption node (leaf node), calculates the daily line loss rate after 24 points every day, and does not realize 96 points every day (once every 15 minutes); at present, only electric energy meter data can be acquired, line loss calculation cannot be realized at a position where the electric energy meter is not installed, line loss management of a power distribution network needs to calculate the line loss rate of a key section on a line, and the current electric power acquisition mode does not support the calculation of line sectional line loss (because the electric energy meter is not installed);

(5) At present, line loss checking can only be performed through power supply enterprise personnel offline inspection electric equipment, inspection lines are multiple in branch lines with complex distribution network structures, inspection difficulty of inspection personnel is large and period is long, line loss reasons can be checked only by means of physical inspection in the inspection process, background data cannot be combined, and the characteristics of large line loss management work difficulty and period are formed.

Disclosure of Invention

The invention aims to overcome the defects in the prior art, and provides a 10 kilovolt power grid synchronous line loss management method based on the Internet of things technology, which can automatically generate a power grid topological structure and automatically compare difference points with power grid files; line voltage, current, power and electric quantity data are collected at a frequency of once every 15 minutes every day, line loss rate is analyzed, line data can be automatically compared, and line loss mutation points can be found.

The technical scheme adopted for solving the technical problems is as follows:

a10 kilovolt power grid synchronous line loss treatment method based on the Internet of things technology comprises the following steps:

(1) Installing an intelligent internet of things sensing module: an intelligent internet of things sensing terminal is installed on a 10kV distribution line;

(2) Generating a power grid topology: the intelligent internet of things sensing terminal automatically generates a power grid topological structure through a power carrier (using a power line to transmit data) technology;

(3) Checking the power grid file: checking the power grid file by using the power grid topological structure to finish analysis and treatment of errors of the power distribution file by a four-step method of looking up, calculating, checking and treating;

(4) Line operation data acquisition: the intelligent internet of things sensing terminal, the host and the slave simultaneously acquire voltage, current, power and electric quantity data according to the frequency of 96 points of a power grid every 15 minutes, the host acquires slave storage data every 30 minutes and uploads the data to a service system in a 4G mode, and the system automatically calculates the line loss rate;

(5) Time-sharing line loss calculation: based on the power grid topology, the system automatically generates a line loss assessment unit (a power supply inlet point and a power supply outlet point are configured), calculates line loss, acquires 96 points daily by data acquisition, and calculates line loss according to the 96 points daily; line loss calculation is carried out, and 96-point voltage, current, power and electric quantity curves of a line are generated at the same time;

(6) Line loss cause analysis: the line loss abnormal event (exceeding a preset threshold) is found through the change of the time-sharing line loss rate (solar ring ratio, lunar ring ratio and annual same ratio), the system generates a line loss abnormal curve according to the line loss abnormal time and the abnormal amplitude, the system automatically searches and matches the line loss abnormal curve, and the voltage, current, power and electric quantity curves of all power supply equipment and electric equipment in the line loss abnormal time period find out the line and equipment set with the most matched change rule;

(7) And (5) line loss management.

Further, after the line loss management is completed, the steps (4) to (7) are circularly executed.

Further, in step (1), based on the power frequency distortion signal modulation technology of the power carrier, the intelligent internet of things sensing terminal host is deployed on the outlet side of the distribution line, the intelligent internet of things sensing terminal slave is deployed on the 10 kilovolt side of the distribution line distribution transformer area, the power frequency distortion signal based on the carrier modulation of the intelligent internet of things sensing terminal slave is injected into the distribution line through the 10 kilovolt capacitive coupler, and the intelligent internet of things sensing terminal host is uploaded to the service system in a 4G mode.

Further, in the step (2), the system receives intelligent internet of things sensing terminal data, and the intelligent internet of things sensing terminal slave configures an upper intelligent internet of things sensing terminal host data communication address according to the power grid file, and the intelligent internet of things sensing terminal host judges that a hanging relationship does not exist between the intelligent internet of things sensing terminal slave and the intelligent internet of things sensing terminal slave when the intelligent internet of things sensing terminal host does not receive an intelligent internet of things sensing terminal slave signal; the system automatically generates a power distribution network topology model in a SVG graph mode.

Further, in step (3), the error analysis and management process is as follows:

s1, checking whether reverse electric quantity indication of a user meter is complete or not by utilizing a circuit intelligent board module in a synchronous line loss system, thereby confirming whether line loss caused by incomplete input electric quantity due to non-statistics of online electric quantity exists or not;

s2, if the indication of the reverse electric quantity of the user meter is incomplete, inquiring the reverse electric quantity of the user in the mining system after the user with the non-counted reverse electric quantity is confirmed; if the corrected line loss rate is qualified through calculation, if the qualified line loss is judged to be caused by the fact that the online electric quantity is not calculated, the line loss rate is classified as acquisition problems, metering work processing is arranged, and topology checking can be omitted;

s3, if the line loss reason cannot be completely checked through the steps S1 and S2 in the line loss management process, the line loss reason needs to be comprehensively checked; by checking the load transfer, checking the gateway port;

s4, checking a line topology relation: after checking the integrity of load transfer and upper gateway port configuration, performing line change topology relation checking; the topological relation is an important ring in the basic data and is the basis of line file management; meanwhile, the topological relation error is one of main causes of line loss of the branching line;

s5, checking meter metering: classifying and treating the analyzed problems through three-step progressive problem analysis of looking up, calculating and checking; and processing aiming at abnormal classification.

Further, in step S3, the load transfer relationship is checked: whether load transfer exists or not is preliminarily judged through a line loss rate curve, whether the load transfer exists or not can be judged through packing electric quantity calculation, and if the calculation result is qualified, topology checking can be omitted; checking the information of the metering point of the upper gateway port: checking the metering point files of each gateway of the line, and mainly checking whether the power generation users of the line on the whole power grid are correctly configured; there may be a case where the gateway is not updated manually in time after the line is cut; if the unconfigured gateway is present, the reverse electric quantity of the user can be inquired, the line loss rate is corrected by calculation, the calculation qualification of the line loss rate is judged to be the configuration error of the gateway, and the topology checking can not be carried out;

further, in step S4, the specific process is as follows:

(1) and (3) file comparison: comparing the file consistency of the synchronous line loss system and the PMS system; comparing the file consistency of the marketing system and the PMS system; comparing whether files of the same distribution line in the same line loss system on normal line loss days and abnormal line loss days are consistent or not; if the difference exists, recording the difference distribution transformer, and guiding the on-site check by calculating the accuracy of the preliminary judgment topological relation through the correction line loss rate;

(2) and (3) electric quantity correlation analysis: analyzing and comparing the sales power quantity data of the distribution transformer on the normal line loss day and the negative line loss day, finding out the distribution transformer with larger power quantity fluctuation in the two days, and carrying out key analysis on the distribution transformer in the field checking process;

(3) address map positioning: the topology relation is suspected or wrong in the data analysis process and topology verification, and the correct topology relation is analyzed through address map positioning by using the user installation address information;

(4) grid topology matching: the intelligent internet of things sensing terminal automatically generates a topological relation and compares the topological relation with the topological relation of the power grid file, and discovers abnormal points of the file.

Further, in the step (7), classification management is performed on the abnormality:

collecting anomalies: the method comprises the following steps of (1) optimizing and collecting by a metering class and a power supply station;

input gateway configuration error: completing configuration by line loss full time;

load transfer: temporarily transferring the temporary handle; the long-term operation mode is used for adjusting and updating the linear transformation relation, and the identification label correction is synchronously carried out on site; the tie switch is added with a metering and collecting function;

topology errors: initiating by the device host to complete source correction;

metering anomalies: the meter modification is completed by the corresponding responsibility team.

The invention checks the load transfer, then checks the gateway port, then checks the topological relation, and finally checks the meter measurement, analyzes the line loss reason layer by layer from simple to difficult, and rapidly and completely analyzes the line loss reason.

The invention uses the internet of things technology, automatically generates a distribution network topological structure through a power carrier transmission technology, and completes distribution network file error analysis and management through a four-step method of 'watching', 'calculating', 'checking' and 'treating'; using a cluster analysis algorithm, automatically comparing the voltage, current, power and electric quantity curves of the whole network line on the basis of the line loss curve, finding out related lines and positioning the line loss mutation reason; and (3) carrying out grid management on the lines, grouping and calculating the line loss rate by using a plurality of lines (large grouping) and calculating the line loss rate by using a small-segment line segment installation acquisition device, and accurately positioning the line loss occurrence position.

The invention has the technical effects that:

compared with the prior art, the 10 kilovolt power grid synchronous line loss management method based on the Internet of things technology automatically generates a power grid topological structure through a power carrier technology by utilizing the Internet of things technology, and automatically compares a difference point with a power grid file; line voltage, current, power and electric quantity data are collected at a frequency of 96 points per day (once every 15 minutes), line loss rate is analyzed, line data are automatically compared, and line loss mutation points are found; the invention establishes a closed-loop working mode of line operation data acquisition, data analysis and field management; in the invention, the high-load-rate line (power consumption/power supply) is searched, the line load rate is timely adjusted to avoid safety accidents, the system gives a proposal for adjusting the load rate, the high-load line and the low-load line are balanced, and the economic benefit of a power supply enterprise is improved.

Drawings

FIG. 1 is a block diagram of the process flow of the present invention;

FIG. 2 is a block diagram of the intelligent Internet of things sensing module installation of the present invention;

fig. 3 is a schematic diagram of the topology of the power grid of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the accompanying drawings of the specification.

Example 1:

as shown in fig. 1, the method for managing 10kv power grid synchronous line loss based on the internet of things technology according to the embodiment includes the following steps:

(1) An intelligent internet of things sensing terminal is installed on a 10kV distribution line, as shown in fig. 2;

specifically, the intelligent internet of things sensing terminal host is deployed on the outlet side of a distribution line based on the power frequency distortion signal modulation technology of a power carrier, the intelligent internet of things sensing terminal slave is deployed on the 10 kilovolt side of a distribution line distribution transformer area, the power frequency distortion signal based on the carrier modulation of the intelligent internet of things sensing terminal slave is injected into the distribution line through a 10 kilovolt capacitive coupler, and the intelligent internet of things sensing terminal host is uploaded to a service system in a 4G mode.

(2) The intelligent internet of things sensing terminal automatically generates a power grid topological structure through a power carrier (using a power line to transmit data) technology, as shown in fig. 3;

specifically, the system receives intelligent internet of things sensing terminal data, an intelligent internet of things sensing terminal slave configures an upper intelligent internet of things sensing terminal host data communication address according to a power grid file, and the intelligent internet of things sensing terminal host judges that a hanging relationship does not exist between the intelligent internet of things sensing terminal slave and the intelligent internet of things sensing terminal slave when the intelligent internet of things sensing terminal host does not receive an intelligent internet of things sensing terminal slave signal; the system automatically generates a power distribution network topology model in a SVG graph mode.

(3) Checking the power grid file by using a power grid topological structure;

specifically, the analysis and the treatment of the distribution network file errors are completed by a four-step method of 'looking up', 'calculating', 'looking up', 'treating', specifically comprising:

the distribution line input electric quantity mainly comprises three parts, namely substation gateway input, contact gateway input and user gateway input; the input incompleteness of a gateway port on a user is a major cause of line loss of a branching line due to the influence of factors such as line cutting, newly added photovoltaic or unstable acquisition; the network-surfing electric quantity of the user is measured through the reverse electric quantity indication acquisition of the meter, so that the intelligent circuit board module in the synchronous line loss system can be used for checking whether the reverse electric quantity indication of the meter of the user is complete or not and whether the configuration is completed at a gateway or not;

examples: the line loss electricity quantity of the high-voltage client a, the line loss rate of-274.18 degrees, the line loss rate of-1.47 percent, which is 9 days in 2018, enters into a line intelligent billboard-electricity quantity detail, and one high-voltage user in the line intelligent billboard-electricity quantity detail is found to have reverse electricity quantity indication, and the high-voltage user is compared with the input-output electricity quantity detail and has no reverse upper table bottom and reverse lower table bottom, so that the distributed power supply of the high-voltage user is directly judged to be not configured in a gateway model, and the online electricity quantity of the user does not participate in calculation in the line loss calculation process;

examples: through looking up the customer reverse electric quantity indication, the high-voltage user a is found to have the reverse electric quantity indication and complete, but the input and output electric quantity details do not correspond to the reverse electric quantity indication, so that the distributed power supply of the high-voltage user is not configured; inquiring a power generation user number corresponding to the high-voltage user in a marketing system, inquiring the reverse electric quantity of 865.80 degrees for 9 days through the power generation user number, calculating and correcting the line loss rate to be qualified, and determining that the abnormal reason is that the distributed power supply is not configured, so that topology checking can not be carried out; as shown in table 1:

table 1:

line name	Input electric quantity	Loss of electricity	Correcting reverse electric quantity	Correction of line loss rate
					* Line of	18606.00	-274.18	865.80	3.04％

checking the load transfer relation: whether load transfer exists or not is preliminarily judged through a line loss rate curve, whether the load transfer exists or not can be judged through packing electric quantity calculation, and if the calculation result is qualified, topology checking can be omitted;

checking the information of the metering point of the upper gateway port: checking the metering point files of each gateway of the line, and mainly checking whether the power generation users of the line on the whole power grid are correctly configured; there may be a case where the gateway is not updated manually in time after the line is cut; if the unconfigured gateway is present, the reverse electric quantity of the user can be inquired, the line loss rate is corrected by calculation, the calculation qualification of the line loss rate is judged to be the configuration error of the gateway, and the topology checking can not be carried out;

s4, checking a line topology relation: after checking the integrity of load transfer and upper gateway port configuration, performing line change topology relation checking; the topological relation is an important ring in the basic data and is the basis of line file management; meanwhile, the topological relation error is one of main causes of line loss of the branching line.

(4) grid topology matching: the intelligent internet of things sensing terminal automatically generates a topological relation and compares the topological relation with the topological relation of the power grid file to find file abnormal points;

s5, checking meter metering: the analyzed problems are classified and treated through the three-step progressive problem analysis of 'looking up, calculating and checking'; for exception classification processing:

topology errors: initiating by the device host to complete source correction;

(4) The line operation data acquisition, intelligent thing allies oneself with the perception terminal, and the host computer, slave machine are according to every 15 minutes (96 points of electric wire netting) frequency data storage at the local of collection voltage, electric current, power, electric quantity simultaneously, and every 30 minutes of host computer collection slave machine storage data is uploaded to service system with 4G mode, and the system calculates the line loss rate automatically.

(5) The time-sharing line loss calculation is based on the power grid topology, a system automatically generates a line loss assessment unit (a power supply inlet point and a power supply outlet point are configured), line loss is calculated according to a formula [ sigma power supply inlet point electric quantity-sigma power supply outlet point electric quantity ]/sigmapower supply inlet point electric quantity ], data acquisition is carried out at 96 points (acquired once in 15 minutes) per day, and line loss calculation is carried out in a 96-point per day mode; line loss calculation is carried out, and 96-point voltage, current, power and electric quantity curves of a line are generated at the same time;

(6) Line loss cause cluster analysis, namely, through the change of the time-sharing line loss rate (daily ring ratio, lunar ring ratio and annual same ratio), a line loss fluctuation event (exceeding a preset threshold value) is found, a line loss fluctuation curve is generated by the system according to the line loss fluctuation time and fluctuation amplitude, the system automatically searches and matches the voltage, current, power and electric quantity curves of all power supply equipment and electric equipment in the line loss fluctuation time period, and a line and equipment set with the best matching fluctuation rule is found out:

1. and comparing the file data of the same line, checking the line file problem first if the file data has abnormal movement, and performing subsequent comparison if the file data has no abnormal movement.

2. And calling the daily line loss rate, the monthly line loss rate, the voltage, the current, the power and the electric quantity curve of each acquisition node of the line, calculating by using a Manhattan distance algorithm, and maximizing the similarity of the voltage, the current, the power and the electric quantity curve of the line equipment and the curve characteristic of the line loss abnormal line, wherein the curve distance is minimum.

The staff of the power supply enterprise checks and overhauls in a targeted mode, and the staff evaluates line loss management results through the data of the second line loss period.

Example 2:

the embodiment adopts the 10 kilovolt power grid synchronous line loss management method based on the internet of things technology in the embodiment 1, and performs dual power supply operation side adjustment line loss non-standard analysis and deep excavation line loss mutation cause by positioning suspected electricity stealing users and grid line loss management.

1. And (5) regulating line loss to be unqualified by a dual-power supply operator.

The original line loss rate of the A24 line of the 110kV A transformer substation is 20%, a 1 special transformer user (garden restaurant) is a high-supply low-meter double-power user, and the user (electric quantity 920) adjusts the operation party to another double-path power supply: 110kV B transformer substation A28 line has line loss of-10%. After the menstruation transport formula is restored to normal state for 9 months and 1 day, both line losses are restored to normal state. The treatment conditions are shown in tables 2 and 3:

table 2:

table 3:

the treatment method comprises the following steps:

(1) During the adjustment of the dual power source operator, the system is packaged, and the overall line loss is calculated;

(2) During the adjustment period of the contact switch operator, carrying out system 'packaging', and calculating the overall line loss;

(3) If the double power meter is hung reversely, the system is required to be adjusted correctly in time and is consistent with the reality.

2. The deep digging line loss mutation causes the positioning of suspected electricity larceny users.

Examples: the total of the line power supply amount and the sales power amount is shown in table 4.

Table 4:

and a line gate curve of 5 months and 5 days, and obvious impact load is found. The time periods are (0-7:30) and (21:30-24:00), and the line loss at the time of 24 hours in 5 months and 5 days of the line is calculated. The discovery is as follows: the abrupt point of the time-sharing line loss is completely matched with the abrupt point of the gate impact load and is consistent with the current curve of the user A, so that a suspected electricity stealing user is found out.

On the early morning of 5 months and 13 days, the police and the enterprises jointly arrive at the site to check and deal with electricity theft, and the site check finds that: the suspected electricity larceny user secrets to add two current (A, C phase) wires between the metering gauge and the connecting terminal box for shunting, so that few metering is caused. The instantaneous current before the shunt is measured on site to be 5.1A, and the instantaneous current after the shunt is measured to be 2.5A. The power outage was performed for the user at 16 pm 6 months.

3. Gridding line loss management.

As shown in table 5, the power supply unit cells are used as units, and the total line loss rate is calculated according to the sum of the power supply quantity and the power selling quantity, and the operation side adjustment is only carried out in the units, so that the influence on the authenticity of line loss data due to the operation side adjustment is effectively avoided.

Table 5:

as shown in Table 6, the power supply unit is mainly an overhead line, the main line is JKLGYJ-10-240 type, the average power supply radius is 11.60km, and the load ratio of the distribution line is 58.04%.

Table 6:

problem analysis:

the power supply unit is mainly an overhead line, and has the problems of larger average power supply radius, higher average load rate of the line and longer branch line.

The main reason for the high D-line loss rate is the long branch line.

The model of the main line of the line A at the outlet of the transformer substation is JKLGYJ-10-150, the phenomenon of neck clamping occurs, and the main reason for high line loss rate is caused by the phenomenon of neck clamping.

The C line shares 103 transformers, the total capacity of the distribution transformer is 24.39MVA, the line load rate is 85.72%, and the high line loss rate is due to the higher load rate, so that the phenomenon of 'small Mara' is caused.

The D line has more branch lines at the same time, so that the total length of the line reaches 39.76km, and the main reasons for high line loss rate are the power supply radius of the line and the overlong wires.

And (3) performing achievement analysis:

the four lines of the power supply unit cut the original line load through the newly built handle line, shorten the power supply radius, reduce the line load rate and solve the problems of neck blocking and the like, and fundamentally solve the problem of high 10 kilovolt cell line loss rate, as shown in table 7. Moreover, the rationality of planning is effectively reflected by the change of the front and rear data of the target net rack.

Table 7:

the foregoing embodiments are merely examples of the present invention, and the scope of the present invention includes, but is not limited to, the forms and styles of the foregoing embodiments, and any suitable changes or modifications made by those skilled in the art, which are consistent with the claims of the present invention, shall fall within the scope of the present invention.

Claims

1. A10 kilovolt power grid synchronous line loss treatment method based on the Internet of things technology is characterized by comprising the following steps of: the method comprises the following steps:

(2) Generating a power grid topology: the intelligent internet of things sensing terminal automatically generates a power grid topological structure by using a power line to transmit data through a power carrier technology;

(5) Time-sharing line loss calculation: based on the power grid topology, the system automatically generates a line loss assessment unit provided with a power supply point and a power supply outlet point, calculates line loss, acquires 96 points daily by data acquisition, and calculates the line loss according to the 96 points daily; line loss calculation is carried out, and 96-point voltage, current, power and electric quantity curves of a line are generated at the same time;

(6) Line loss cause analysis: discovering a line loss abnormal event through the change of a time-sharing line loss rate, wherein the time-sharing line loss rate comprises a solar-to-annular ratio, a lunar-to-annular ratio and a year-to-year ratio, and the line loss abnormal event is generated when a preset threshold value is exceeded; the system generates a line loss fluctuation curve according to the line loss fluctuation time and the fluctuation amplitude, the system automatically searches and matches the voltage, current, power and electric quantity curves of all power supply equipment and electric equipment in the line loss fluctuation time period, and finds out a line and equipment set with the most matched fluctuation rule;

(7) Line loss management;

in step (3), the error analysis and management process is as follows:

2. The method for managing 10 kilovolt power grid synchronous line loss based on the internet of things technology according to claim 1, which is characterized by comprising the following steps: after the line loss management is completed, the steps (4) to (7) are circularly executed.

3. The 10kv power grid synchronous line loss management method based on the internet of things technology according to claim 1 or 2, wherein the method is characterized by comprising the following steps: in the step (1), an intelligent internet of things sensing terminal host is deployed on an outlet side of a distribution line based on a power frequency distortion signal modulation technology of a power carrier, an intelligent internet of things sensing terminal slave is deployed on a 10 kilovolt side of a distribution line distribution transformer area, the intelligent internet of things sensing terminal slave is injected into the distribution line through a 10 kilovolt capacitive coupler based on the power frequency distortion signal modulated by the carrier, and the intelligent internet of things sensing terminal host is uploaded to a service system in a 4G mode.

4. The 10kv power grid synchronous line loss management method based on the internet of things technology according to claim 1 or 2, wherein the method is characterized by comprising the following steps: in the step (2), the system receives intelligent internet of things sensing terminal data, an intelligent internet of things sensing terminal slave configures an upper intelligent internet of things sensing terminal host data communication address according to a power grid file, and the intelligent internet of things sensing terminal host judges that a hanging relationship does not exist between the intelligent internet of things sensing terminal slave when the intelligent internet of things sensing terminal host does not receive an intelligent internet of things sensing terminal slave signal; the system automatically generates a power distribution network topology model in a SVG graph mode.

5. The method for managing 10 kilovolt power grid synchronous line loss based on the internet of things technology according to claim 1, which is characterized by comprising the following steps: in step S3, the load transfer relationship is checked: whether load transfer exists or not is preliminarily judged through a line loss rate curve, whether the load transfer exists or not can be judged through packing electric quantity calculation, and if the calculation result is qualified, topology checking can be omitted; checking the information of the metering point of the upper gateway port: checking the metering point files of each gateway of the line, and mainly checking whether the power generation users of the line on the whole power grid are correctly configured; there may be a case where the gateway is not updated manually in time after the line is cut; if the unconfigured gateway is present, the reverse electric quantity of the user can be inquired, the line loss rate is corrected by calculation, the qualified line loss rate is judged to be the error configuration of the gateway, and the topology check is not carried out.

6. The 10kv power grid synchronous line loss management method based on the internet of things technology according to claim 1 or 5, wherein the method is characterized by comprising the following steps: in step S4, the specific process is:

7. The 10kv power grid synchronous line loss management method based on the internet of things technology according to claim 1 or 2 or 5, wherein the method is characterized by comprising the following steps: in the step (7), classification treatment is performed on the abnormality:

topology errors: the device host initiates completion of source correction.