Line loss checking system and method for different-loss transformer area

Abstract

The invention relates to the technical field of electric power, in particular to a line loss checking system and method for different-loss transformer areas, and the system comprises a data collection module which is used for collecting the daily power supply amount and daily power sale amount of each transformer area today; collecting electric energy data of each transformer area line today; collecting the electricity consumption of each user in each transformer area and the line loss rate of the transformer area in continuous 15 days today and before; the district big data module is used for determining different-damage districts today; generating a curve graph; whether problems exist in the different-damage transformer areas or not is judged, and a light problem judgment result, information of all target users in the moderate different-damage transformer areas with the moderate problems and information of all line loss abnormal key users in the severe different-damage transformer areas are included in a different-damage transformer area problem result library; wherein according to the curve overlap ratio of the user electricity consumption curve and the area line loss rate curve, each line loss abnormal key user in the severe different-loss transformer area is determined; and the report generation module is used for generating a today transformer area line loss big data report. The working efficiency and the line loss problem analysis accuracy are improved.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to a system and method for troubleshooting line losses in abnormally damaged transformer areas. Background Art

[0002] As the State Grid Corporation's requirements for lean management of line losses in substations become higher and higher, the space for line loss rate voltage drop is getting smaller and smaller, and the analysis of the causes of abnormal loss in substations and on-site inspections are becoming more and more difficult. The existing problems that lead to abnormal line losses in substations include loss of voltage, interruption of current, lack of phase, current without electricity, electricity theft by opening and closing covers, collection failure, internal failure of metering devices, invisible electricity theft by burning meters and microwave interference. These problems are divided into mild, moderate and severe problems. Among them, loss of voltage, interruption of current, lack of phase, current without electricity, electricity theft by opening and closing covers and collection failure are mild problems; internal failure of metering devices are moderate problems; invisible electricity theft by burning meters and microwave interference are severe problems.

[0003] The existing line loss investigation method is to judge through the big data module of the substation, but this technology can only simply judge that the substation line loss is caused by the minor problems such as loss of voltage, interruption of flow, lack of phase, current without electricity, opening and closing cover stealing electricity, and collection failure through the collected electric energy data, that is, current and voltage data. It cannot lock the suspicious users who cause medium and severe problems such as internal failure of the metering device, invisible burning of meters and stealing electricity, microwave interference stealing electricity, and high-tech stealing electricity, and cannot investigate the medium and severe problems that cause abnormal line loss in the substation; the second is to manually conduct a massive investigation of all user electric energy meters in the abnormal loss substation on site, measure whether the current and power of each electric energy meter are consistent with the meter display, check whether the meter has burnt marks and whether there is electricity theft, and check them one by one until the problem affecting the line loss is found, and then it can be managed. Although this method can investigate various degrees of abnormal line loss in the substation, this method has the problem of wasting manpower, material resources and time, and cannot deal with line loss problems in time, and has low work efficiency; the third is to use edge computing technology, such as "small octopus", "substation unit This method requires an additional power device to be installed on each transformer, junction box, each low-voltage branch and each meter box in each substation. By monitoring the voltage, current and power of each transformer, junction box, each low-voltage branch and each meter box in each substation, the power data and equipment status data of each transformer, junction box and each meter box in each substation, the line loss rate of each transformer, junction box, each low-voltage branch and each meter box in each substation is calculated, and it is determined which section of the low-voltage line or which meter box in each substation has the largest line loss, so as to determine whether the transformer, junction box, each low-voltage branch and each meter box in each substation have the largest line loss. The abnormal line loss problem in the substation area is caused by a problem in a section of low-voltage line or a meter box in the substation area. Although this method can realize the hierarchical investigation of the transformer-distribution box-meter box, and then investigate the line loss problem, it has a huge investment and requires a lot of equipment to be installed. When installing equipment in the substation area, the staff faces the risk of electric shock, the work is difficult, and there is a huge safety pressure. In addition, when investigating line loss, it is necessary to mobilize all external equipment in the abnormal loss substation area, resulting in the cost of analyzing and investigating an abnormal loss substation area of ​​no less than 30,000 yuan.

[0004] In summary, the existing line loss abnormality troubleshooting method has the problems of incomplete detection of line loss abnormality problems, wasting manpower and material resources and poor detection effect, high investment cost and high troubleshooting pressure. Summary of the invention

[0005] To this end, the technical problem to be solved by the present invention is to overcome the problems existing in the prior art of incomplete detection of abnormal line loss problems, waste of manpower and material resources, poor detection effect, high investment cost and high troubleshooting pressure.

[0006] In order to solve the above technical problems, the present invention provides a line loss troubleshooting system for abnormal damage areas, comprising:

[0007] The data collection module is used to collect the daily power supply and daily power sales of each substation today; collect the power data of each substation line today at each sampling time; collect the power consumption of each user in each substation today and in the previous 15 consecutive days and the line loss rate of each substation line;

[0008] The big data module of the substation area is connected with the data collection module and the abnormal damage substation area problem result database, including:

[0009] The abnormal loss area determination unit is used to calculate the line loss rate of each area according to the daily power supply and daily power sales of each area today; if the line loss rate of any area exceeds the normal threshold, the current area is an abnormal loss area, and then the abnormal loss areas of today are determined;

[0010] The curve generating unit is used to generate the electric energy data curve of each abnormal damage area and line today according to the electric energy data of each abnormal damage area and line today collected at each sampling time; according to the electric energy consumption of each user in each abnormal damage area today and the previous 15 consecutive days, and the line loss rate of each abnormal damage area and line, generate the electric energy consumption curve of each user in each abnormal damage area today and the previous 15 consecutive days, and the line loss rate curve of each abnormal damage area and line;

[0011] The minor problem troubleshooting unit is used to determine whether there are minor problems in each abnormal damage area based on the generated electric energy data curve of each abnormal damage area line today, and automatically enter the judgment result into the abnormal damage area problem result database;

[0012] The moderate problem troubleshooting unit is used to take all abnormal damage areas today that have not been troubleshooted in the mild problem troubleshooting unit as all moderate abnormal damage areas today; use the VLOOKUP function tool to compare the power consumption of each user today in each moderate abnormal damage area with the power consumption of each user yesterday, and take the users whose power consumption difference between today and yesterday is greater than the power consumption change threshold as key users, and obtain multiple key users in each moderate abnormal damage area today; take the key users whose daily power consumption change exceeds the power consumption change threshold in each moderate abnormal damage area today as the target users of the corresponding moderate abnormal damage area, and obtain multiple target users in each moderate abnormal damage area today; determine that all moderate abnormal damage areas today where the number of target users is less than or equal to the preset number of households have moderate problems, and automatically include the information of each target user corresponding to each moderate abnormal damage area with moderate problems today into the abnormal damage area problem result library;

[0013] The severe problem troubleshooting unit is used to take today's moderate abnormal damage areas where no problems have been found in the moderate problem unit or the number of target users exceeds the preset number of households as today's severe abnormal damage areas; the generated power consumption curves of each user in each severe abnormal damage area today and in the previous 15 consecutive days and the line loss rate curves of each severe abnormal damage area are overlapped and compared to obtain the curve overlap corresponding to each user in each severe abnormal damage area; if the curve overlap corresponding to any user in any severe abnormal damage area is 0, it means that the current user in the current severe abnormal damage area is a critical household with abnormal line loss, and then the critical households with abnormal line loss in each severe abnormal damage area today are obtained, and it is determined that each severe abnormal damage area today has severe problems; the information of each critical household with abnormal line loss in each severe abnormal damage area today is automatically included in the abnormal damage area problem result database;

[0014] The report generation module is connected to the abnormal damage area problem result database; it is used to generate today's area line loss big data report based on the abnormal damage area problem result database and using industry and data fusion technology.

[0015] Preferably, the minor problems include: loss of voltage, interruption of current, lack of phase, current but no electricity, electricity theft due to opening and closing the cover, and collection failure.

[0016] Preferably, based on the fact that the abnormal damage area today is a single-phase area, judging whether there is a slight problem in the abnormal damage area today includes:

[0017] If the voltage value at one or more sampling moments in the voltage curve of the line in the abnormal damage area today is 0 or close to 0, then there is a voltage loss problem in the abnormal damage area today;

[0018] If the current value of multiple consecutive sampling moments in the current curve of the line of the abnormal damage area today is 0 or close to 0, then there is a problem of current interruption in the abnormal damage area today;

[0019] If the current curve of the line of the abnormal damage area today shows continuous growth, but the growth amount of the metering device corresponding to the abnormal damage area during the sampling period is less than the increment threshold, then the abnormal damage area today has the problem of current but no electricity;

[0020] If the curve fluctuation amplitudes of the voltage curve and current curve of the line in the abnormal damage area today are both greater than the fluctuation threshold, and the record of opening the cover of the area metering device does not match the normal time, then there is a problem of electricity theft by opening and closing the cover in the abnormal damage area today;

[0021] If there are missing voltage values ​​or current values ​​of multiple sampling points in the voltage curve or current curve of the line in the current abnormal damage area today, there is a collection failure problem in the current abnormal damage area today.

[0022] Preferably, based on the fact that the abnormal damage area today is a three-phase area, judging whether there is a slight problem in the abnormal damage area today includes:

[0023] If the current value at one or more sampling moments in the current curve of any phase line of the abnormal damage area today is greater than the rated current of the area of ​​the first proportional threshold, and the voltage value at one or more sampling moments in the voltage curve is lower than the normal working voltage of the area of ​​the second proportional threshold, then there is a voltage loss problem in the abnormal damage area today;

[0024] If the voltage value at one or more sampling moments in the voltage curve of any phase line of the abnormal damage area today is lower than the critical voltage, and the current value at one or more sampling moments in the current curve is less than the rated current of the area of ​​the third proportional threshold, then the abnormal damage area today has a current interruption problem;

[0025] If the voltage curve and current curve of one-phase or two-phase line in the abnormal damage area today are different from the voltage curve and current curve of the normal phase, or the voltage and current values ​​of the voltage curve and current curve of one-phase or two-phase line at multiple consecutive sampling moments are 0 or close to 0, then there is a phase loss problem in the abnormal damage area today;

[0026] If the curve fluctuation amplitudes of the voltage curve and current curve of any phase line in the abnormal damage area today are greater than the fluctuation threshold, and the cover opening record of the area metering device does not match the normal time, then there is a problem of electricity theft by opening and closing the cover in the abnormal damage area today;

[0027] If there are missing voltage values ​​or current values ​​of multiple sampling points in the voltage curve or current curve of any phase line in the abnormal damage area today, there is a collection failure problem in the abnormal damage area today.

[0028] Preferably, the moderate problem is an internal fault problem of the user's metering device.

[0029] Preferably, the serious problems include: invisible meter burning and electricity theft, and microwave electricity theft.

[0030] Preferably, if the key user is a single-phase meter user, the threshold value of the change in electricity consumption is 10 kWh; if the key user is a three-phase meter user, the threshold value of the change in electricity consumption is 20 kWh.

[0031] Preferably, the target user's information and the line loss abnormality key user's information both include the user number, meter asset number, and account name.

[0032] Preferably, the preset number of households is 5.

[0033] The present invention also provides a method for checking line loss in an abnormally damaged substation area, using a system for checking line loss in an abnormally damaged substation area as described in any one of claims 1 to 8 to generate a big data report of line loss in today's substation area, including:

[0034] Use the data collection module to collect the daily power supply and daily power sales of each substation today; collect the power data of each substation line today at each sampling time; collect the power consumption of each user in each substation today and in the previous 15 consecutive days and the line loss rate of each substation line;

[0035] The abnormal damage area determination unit in the area big data module is used to calculate the line loss rate of each area according to the daily power supply and daily power sales of each area today; if the line loss rate of any area exceeds the normal threshold, the current area is an abnormal damage area, and then the abnormal damage areas of today are determined;

[0036] Utilize the curve generation unit in the area big data module, generate the electric energy data curve of each abnormal damage area line today according to the electric energy data of each abnormal damage area line today collected at each sampling time; generate the electric energy consumption curve of each user in each abnormal damage area and the line loss rate curve of each abnormal damage area line today and the previous 15 consecutive days according to the electric energy consumption of each user in each abnormal damage area and the line loss rate curve of each abnormal damage area line today and the previous 15 consecutive days;

[0037] Using the minor problem troubleshooting unit in the area big data module, based on the generated electric energy data curve of each abnormal damage area line today, it is determined whether each abnormal damage area has a minor problem, and the judgment result is automatically included in the abnormal damage area problem result database;

[0038] Utilize the moderate problem troubleshooting unit in the substation big data module, and take today's abnormal damage substations that have not been troubleshooted in the mild problem troubleshooting unit as today's moderate abnormal damage substations; use the VLOOKUP function tool to compare the power consumption of each user today in each moderate abnormal damage substation with the power consumption of each user yesterday, and take the users whose power consumption difference between today and yesterday is greater than the power consumption change threshold as key users, and obtain multiple key users in today's moderate abnormal damage substations; take the key users whose daily power consumption change exceeds their power consumption change threshold in today's moderate abnormal damage substations as the target users of the corresponding moderate abnormal damage substations, and obtain multiple target users in today's moderate abnormal damage substations; determine that today's moderate abnormal damage substations where the number of target users is less than or equal to the preset number of households have moderate problems, and automatically include the information of each target user corresponding to each moderate abnormal damage substation with moderate problems today into the abnormal damage substation problem result library;

[0039] Using the severe problem troubleshooting unit in the substation big data module, all the medium-damaged substations today where no problems have been found in the moderate problem unit or the number of target users exceeds the preset number of households are taken as the severe-damaged substations today; the generated power consumption curves of each user in each severe-damaged substation today and in the previous 15 consecutive days and the line loss rate curves of each severe-damaged substation are overlapped and compared to obtain the curve matching degree corresponding to each user in each severe-damaged substation; if the curve matching degree corresponding to any user in any severe-damaged substation is 0, it means that the current user in the current severe-damaged substation is a critical household with abnormal line loss, and then the critical households with abnormal line loss in each severe-damaged substation today are obtained, and it is determined that there are severe problems in each severe-damaged substation today; the information of the critical households with abnormal line loss in each severe-damaged substation today is automatically included in the abnormal-damage substation problem result database;

[0040] By using the report generation module, based on the abnormal loss substation problem result database and combining industry and data fusion technology, a big data report on line loss in today's substation is generated.

[0041] The above technical solution of the present invention has the following beneficial effects compared with the prior art:

[0042] The abnormal damage area line loss troubleshooting system described in the present invention divides the area problems into mild, moderate and severe, and uses the existing area big data module to determine whether there are mild problems in today's abnormal damage area. Then, the abnormal damage areas today that are not determined to have mild problems are regarded as today's moderate abnormal damage areas. According to the comparison of the power consumption of each user today and yesterday in the moderate abnormal damage area, the users with large changes in power consumption are regarded as key users, and the users whose daily power consumption exceeds the corresponding threshold are regarded as target users. It can be known that the internal fault of the metering meter of the target user has caused the line loss of the corresponding area to be abnormal today; the moderate abnormal damage areas today that are not determined to have moderate problems or the number of target users exceeds the preset number are regarded as today's moderate abnormal damage areas. The damaged areas are taken as the areas with severe abnormal damage today. The power consumption curves of each user in the areas with severe abnormal damage today and in the previous 15 consecutive days and the line loss rate curves of each area with severe abnormal damage are overlapped and compared to obtain the curve matching degree corresponding to each user in the areas with severe abnormal damage. If the curve matching degree is 0, it means that the current user is a key household with abnormal line loss. Therefore, it can be known that the key household with abnormal line loss has electricity theft, which has caused the line loss in its corresponding area to be abnormal today. In the process of judging the problem of the abnormal damage area, it can be quickly judged what kind of problem caused the abnormal line loss in the area today, so that the staff can quickly know the problem and solve it in time through the problems summarized in the report, which improves the processing efficiency of line loss investigation.

[0043] The abnormal damage area line loss investigation system described in the present invention, based on the summary and condensation of traditional line loss analysis experience, starts from the relationship between the change in electricity consumption of users in the area and the change in the line loss rate of the area, and compares the 15-day electricity sales change curve of each user in the abnormal damage area with the 15-day change curve of the line loss rate of the area to form a curve matching degree. When the curve matching degree is 0, that is, it is completely overlapped, it is the key household causing the abnormal line loss, that is, the target household for the abnormal damage area investigation; through the fusion of industry and numbers, the abnormal damage area investigation process is compared and calculated, and the abnormal damage area problem result report can be obtained in the shortest time, so that the staff can see the report results when they go to work and carry out line loss investigation; the difficulty of manual on-site investigation is reduced, the work efficiency is improved, and the accuracy of line loss problem analysis is improved, and at the same time, the key users of high-tech electricity theft can be easily identified. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below according to specific embodiments of the present invention in conjunction with the accompanying drawings, wherein:

[0045] Figure 1 It is a schematic diagram of a line loss troubleshooting system for an abnormally damaged station area provided by the present invention;

[0046] Figure 2 It is a flow chart of a method for troubleshooting line loss in an abnormally damaged station area provided by the present invention;

[0047] Figure 3 It is the matching diagram between the user's electricity consumption curve and the line loss rate curve of the abnormal loss area;

[0048] Figure 4 Generate report chart with one click;

[0049] Figure 5 This is the analysis result diagram of abnormal damage area;

[0050] Figure 6 It is a schematic diagram of the interface of the industry-data fusion system report of the third embodiment;

[0051] Figure 7 This is a result diagram of key households with abnormal line loss obtained based on the line loss curve matching degree analysis method in the industry-data fusion system report of Example 3;

[0052] Figure 8 This is a diagram of the initial situation of the two substations in Example 4. DETAILED DESCRIPTION

[0053] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0054] Embodiment 1

[0055] Reference Figure 1 As shown, Figure 1 This is a schematic diagram of a line loss troubleshooting system for an abnormally damaged station area provided by the present invention; specifically comprising:

[0056] The data collection module is used to collect the daily power supply and daily power sales of each substation today; collect the power data of each substation line today at each sampling time; collect the power consumption of each user in each substation today and in the previous 15 consecutive days and the line loss rate of each substation line; wherein the sampling time is 48 sampling times within 24 hours a day; the power data includes: current and voltage;

[0057] The big data module of the substation area is connected with the data collection module and the abnormal damage substation area problem result database, including:

[0058] The abnormal loss area determination unit is used to calculate the line loss rate of each area according to the daily power supply and daily power sales of each area today; if the line loss rate of any area exceeds the normal threshold, the current area is an abnormal loss area, and then the abnormal loss areas of today are determined;

[0059] The curve generating unit is used to generate the electric energy data curve of each abnormal damage area and line today according to the electric energy data of each abnormal damage area and line today collected at each sampling time; according to the electric energy consumption of each user in each abnormal damage area today and the previous 15 consecutive days, and the line loss rate of each abnormal damage area and line, generate the electric energy consumption curve of each user in each abnormal damage area today and the previous 15 consecutive days, and the line loss rate curve of each abnormal damage area and line;

[0060] The minor problem troubleshooting unit is used to determine whether there are minor problems in each abnormal damage area according to the generated electric energy data curve of each abnormal damage area line today, and automatically enter the judgment result into the abnormal damage area problem result library; wherein, the minor problems include: loss of voltage, interruption of current, lack of phase, current without electricity, opening and closing cover to steal electricity and collection failure;

[0061] In the minor problem troubleshooting unit, based on the fact that the abnormal damage area today is a single-phase area, judging whether there is a minor problem in the abnormal damage area today includes:

[0062] If the voltage value at one or more sampling moments in the voltage curve of the line in the abnormal damage area today is 0 or close to 0, then there is a voltage loss problem in the abnormal damage area today;

[0063] If the current value of multiple consecutive sampling moments in the current curve of the line of the abnormal damage area today is 0 or close to 0, then there is a problem of current interruption in the abnormal damage area today;

[0064] If the current curve of the line of the abnormal damage area today shows continuous growth, but the growth amount of the metering device corresponding to the abnormal damage area during the sampling period is less than the increment threshold, then the abnormal damage area today has the problem of current but no electricity;

[0065] If the curve fluctuation amplitudes of the voltage curve and current curve of the line in the abnormal damage area today are both greater than the fluctuation threshold, and the record of opening the cover of the area metering device does not match the normal time, then there is a problem of electricity theft by opening and closing the cover in the abnormal damage area today;

[0066] If there are multiple missing voltage or current values ​​of sampling points in the voltage curve or current curve of the line in the abnormal damage area today, there is a collection failure problem in the abnormal damage area today;

[0067] In the minor problem troubleshooting unit, based on the fact that the abnormal damage area today is a three-phase area, judging whether there is a minor problem in the abnormal damage area today includes:

[0068] If the current value at one or more sampling moments in the current curve of any phase line of the abnormal damage area today is greater than the rated current of the area of ​​the first proportional threshold, and the voltage value at one or more sampling moments in the voltage curve is lower than the normal working voltage of the area of ​​the second proportional threshold, then there is a voltage loss problem in the abnormal damage area today;

[0069] If the voltage value at one or more sampling moments in the voltage curve of any phase line of the abnormal damage area today is lower than the critical voltage, and the current value at one or more sampling moments in the current curve is less than the rated current of the area of ​​the third proportional threshold, then the abnormal damage area today has a current interruption problem;

[0070] If the voltage curve and current curve of one-phase or two-phase line in the abnormal damage area today are different from the voltage curve and current curve of the normal phase, or the voltage and current values ​​of the voltage curve and current curve of one-phase or two-phase line at multiple consecutive sampling moments are 0 or close to 0, then there is a phase loss problem in the abnormal damage area today;

[0071] If the curve fluctuation amplitudes of the voltage curve and current curve of any phase line in the abnormal damage area today are greater than the fluctuation threshold, and the cover opening record of the area metering device does not match the normal time, then there is a problem of electricity theft by opening and closing the cover in the abnormal damage area today;

[0072] If there are multiple missing voltage or current values ​​of sampling points in the voltage curve or current curve of any phase line in the abnormal damage area today, there is a collection failure problem in the abnormal damage area today;

[0073] The moderate problem troubleshooting unit is used to take all the abnormal damage areas today that have not been troubleshooted in the mild problem troubleshooting unit as all the moderate abnormal damage areas today; use the VLOOKUP function tool to compare the power consumption of each user today in each moderate abnormal damage area with the power consumption of each user yesterday, and take the users whose power consumption difference between today and yesterday is greater than the power consumption change threshold as key users, and obtain multiple key users in each moderate abnormal damage area today; take the key users whose daily power consumption change exceeds the power consumption change threshold in each moderate abnormal damage area today as the target users of the corresponding moderate abnormal damage area, and obtain each moderate abnormal damage area today. Multiple target users in moderately damaged areas; determine that each moderately damaged area with a number of target users less than or equal to a preset number of households has a moderate problem today, and automatically include the information of each target user corresponding to each moderately damaged area with a moderate problem today into the damage area problem result database; wherein the moderate problem is an internal fault problem of the user's metering device; if the key user is a single-phase meter user, the power consumption change threshold is 10 kWh; if the key user is a three-phase meter user, the power consumption change threshold is 20 kWh; the preset number of households is 5; the target user's information includes user number, meter asset number, and household name;

[0074] The severe problem troubleshooting unit is used to take the medium-problem areas with no problems found in the medium-problem unit or the number of target users exceeding the preset number as the severe-loss areas today; the generated power consumption curves of each user in the severe-loss areas today and in the previous 15 consecutive days and the line loss rate curves of each severe-loss area are overlapped and compared to obtain the curve matching degree corresponding to each user in each severe-loss area. The specific matching diagram is shown in Figure 3 As shown; if the curve matching degree corresponding to any user in any severe abnormal loss area is 0, it means that the current user in the current severe abnormal loss area is a key user of abnormal line loss, and then the key users of abnormal line loss in each severe abnormal loss area today are obtained, and it is determined that each severe abnormal loss area today has a severe problem; the information of each key user of abnormal line loss in each severe abnormal loss area today is automatically included in the abnormal loss area problem result library; wherein, the severe problem is the high-tech electricity theft problem of invisible meter burning and microwave theft; the information of the key user of abnormal line loss includes the user number, meter asset number, and account name;

[0075] The report generation module is connected to the abnormal loss area problem result database; it is used to generate today's area line loss big data report based on the abnormal loss area problem result database and the industry-data fusion technology, such as Figure 4 The final analysis results of the abnormal damage area are shown in Figure 5 shown.

[0076] Embodiment 2

[0077] Reference Figure 2 As shown, Figure 2 This is a flow chart of a method for troubleshooting line loss in an abnormally damaged area provided by the present invention; specifically, it includes:

[0078] S1: Use the data collection module to collect the daily power supply and daily power sales of each substation today; collect the power data of each substation line today at each sampling time; collect the power consumption of each user in each substation today and in the previous 15 consecutive days and the line loss rate of each substation line;

[0079] S2: Using the abnormal damage area determination unit in the area big data module, the line loss rate of each area is calculated according to the daily power supply and daily power sales of each area today; if the line loss rate of any area exceeds the normal threshold, the current area is an abnormal damage area, and then the abnormal damage areas of today are determined;

[0080] Utilize the curve generation unit in the area big data module, generate the electric energy data curve of each abnormal damage area line today according to the electric energy data of each abnormal damage area line today collected at each sampling time; generate the electric energy consumption curve of each user in each abnormal damage area and the line loss rate curve of each abnormal damage area line today and the previous 15 consecutive days according to the electric energy consumption of each user in each abnormal damage area and the line loss rate curve of each abnormal damage area line today and the previous 15 consecutive days;

[0081] Using the minor problem troubleshooting unit in the area big data module, based on the generated electric energy data curve of each abnormal damage area line today, it is determined whether each abnormal damage area has a minor problem, and the judgment result is automatically included in the abnormal damage area problem result database;

[0082] Utilize the moderate problem troubleshooting unit in the substation big data module, and take today's abnormal damage substations that have not been troubleshooted in the mild problem troubleshooting unit as today's moderate abnormal damage substations; use the VLOOKUP function tool to compare the power consumption of each user today in each moderate abnormal damage substation with the power consumption of each user yesterday, and take the users whose power consumption difference between today and yesterday is greater than the power consumption change threshold as key users, and obtain multiple key users in today's moderate abnormal damage substations; take the key users whose daily power consumption change exceeds their power consumption change threshold in today's moderate abnormal damage substations as the target users of the corresponding moderate abnormal damage substations, and obtain multiple target users in today's moderate abnormal damage substations; determine that today's moderate abnormal damage substations where the number of target users is less than or equal to the preset number of households have moderate problems, and automatically include the information of each target user corresponding to each moderate abnormal damage substation with moderate problems today into the abnormal damage substation problem result library;

[0083] Using the severe problem troubleshooting unit in the substation big data module, all the medium-damaged substations today where no problems have been found in the moderate problem unit or the number of target users exceeds the preset number of households are taken as the severe-damaged substations today; the generated power consumption curves of each user in each severe-damaged substation today and in the previous 15 consecutive days and the line loss rate curves of each severe-damaged substation are overlapped and compared to obtain the curve matching degree corresponding to each user in each severe-damaged substation; if the curve matching degree corresponding to any user in any severe-damaged substation is 0, it means that the current user in the current severe-damaged substation is a critical household with abnormal line loss, and then the critical households with abnormal line loss in each severe-damaged substation today are obtained, and it is determined that there are severe problems in each severe-damaged substation today; the information of the critical households with abnormal line loss in each severe-damaged substation today is automatically included in the abnormal-damage substation problem result database;

[0084] S3: Use the report generation module to generate today's line loss big data report for the substation based on the abnormal loss substation problem result database and the industry-data fusion technology.

[0085] Embodiment 3

[0086] The 10kV Jianyin 1# distribution transformer suffered heavy losses in early August 2024, with a daily power supply of 1328.8 kWh, a daily power sales of 1187.48 kWh, a daily power loss of 141.32 kWh, a daily line loss rate of 10.64%, and a theoretical line loss calculation value of 1.96%. The substation serves 305 users, and the users are not concentrated. The team mobilized 5 substation managers to conduct 4 days of intensive investigation, but no problems were found and they were helpless; the urban branch relied on the results of industry-number integration and applied the substation line loss curve matching analysis method to analyze the substation. The specific steps are as follows:

[0087] Step 1: Use the substation big data module to determine whether the 10kV Jianyin 1# distribution transformer has voltage loss, current interruption, phase loss, current without electricity, power theft by opening and closing covers, collection failure, etc. The judgment result shows that there is no such problem;

[0088] Step 2: Use the big data module of the substation area to select the power sales of each user in the substation area on the day of abnormal line loss in the substation area and the power sales of each user in the substation area on the day of normal line loss in the substation area. The judgment result shows that there are 45 users with a large number of changes in power sales. The target is not clear, and the on-site investigation is difficult;

[0089] Step 3: Through the data acquisition module, the power consumption values ​​of 305 users in the last 15 consecutive days before and after the abnormal line loss of 10kV Jianyin 1# distribution transformer are automatically counted into the curve generation module to form 305 user power consumption curves; the 15-day line loss rate corresponding to the 10kV Jianyin 1# distribution transformer is counted to form a line loss rate curve; the substation big data module is used to automatically compare the coincidence of 1 pair of 305 curves, and according to the comparison results, the industry-data fusion technology is used to form a report, such as Figure 6 As shown; click on the report, the system shows that there are only two households with overlapping curves, Huang Bujun (household number 6266610577942) table number 00000118545921, Baiyin District Wallace Fried Chicken Hamburger Dongshan Road Store (household number 6261106665995) table number 00000123598074. Figure 7 As shown;

[0090] Step 4: Immediately organize personnel to conduct a detailed inspection and test of the two meters in the system on site. It was found that the meters looked good and the lead seals were good, but the displayed power was inconsistent with the product power of the measured current and voltage, and the meters were running slowly. The meters were replaced, and the daily power loss dropped to 20.28 kWh, and the daily line loss rate dropped to 3.91%, meeting the standard, and the abnormal loss situation was eliminated.

[0091] Embodiment 4

[0092] The 2# box-type transformer in Jiahe Community suffered negative losses in early August 2024, with a daily power supply of 1039.2 kWh, a daily power sales of 1070.16 kWh, a daily power loss of -30.96 kWh, a daily line loss rate of -2.98%, and a theoretical line loss calculation value of 1.4%. The substation serves 299 users, and the users are not concentrated. The team organized personnel to investigate, check the substation master meter, and check all meters and clocks, but did not find the cause of the negative losses and was helpless; the urban branch relied on the results of industry-number integration and applied the substation line loss curve matching analysis method to analyze the substation; the specific steps are as follows:

[0093] Step 1: Use the big data module of the substation to determine whether the 2# box-type transformer in Jiahe Community has problems such as loss of voltage, current interruption, phase loss, current without electricity, power theft by opening and closing the cover, and data collection failure. The judgment result shows that there is no such problem.

[0094] Step 2: Use the big data module of the substation area to select the power sales of each user in the substation area on the day of abnormal line loss in the substation area and the power sales of each user in the substation area on the day of normal line loss in the substation area. The judgment results show that there are more than 30 users with changed power sales. The target is not clear, and the on-site investigation is difficult;

[0095] Step 3: Through the data acquisition module, the power consumption values ​​of 299 users in the last 15 consecutive days before and after the abnormal line loss of 10kV Jianyin 1# distribution transformer are automatically counted into the curve generation module to form 305 user power consumption curves; the 15-day line loss rate corresponding to the 10kV Jianyin 1# distribution transformer is counted to form a line loss rate curve; the substation big data module is used to automatically compare the overlap of 1 to 299 curves. According to the comparison results, the industry-data fusion technology is used to form a report. After clicking the report, the system shows that there is only one household with overlapping curves, Gansu Yianda Engineering Construction Co., Ltd. (household number 6267000041590) table number 00000125760532;

[0096] Step 4: Check the 1# box-type transformer and distribution transformer in the adjacent Jiahe community. It is found that when the 2# box-type transformer in Jiahe community is at a negative loss, the 1# box-type transformer and distribution transformer in Jiahe community is at a high loss. Therefore, it is preliminarily judged that when the user reported the installation, the team personnel selected the wrong power supply relationship, resulting in a household transformer error. However, the two areas are close to each other and the concentrators of both sides are connected in series, so the team did not find the household transformer error. The initial situation of the 1# box-type transformer and distribution transformer in Jiahe community and the 2# box-type transformer in Jiahe community is shown in the figure below. Figure 8 As shown;

[0097] Step 5: Immediately organize personnel to conduct a detailed investigation and test of the power supply relationship of this household on site. It was found that it was indeed caused by an error in the household's file power supply relationship. After immediate adjustment, the line losses in the two substations were qualified.

[0098] The above-mentioned Example 3 and Example 4 fully demonstrate that the substation line loss curve matching analysis method plays a great role in the analysis and investigation of abnormal line losses in the substation, and the effect is remarkable in on-site applications; at the same time, the abnormal line loss investigation system of the substation line loss curve matching analysis method combined with the industry and digital fusion technology is more convenient for line loss management personnel to use, realizing "one-click analysis and investigation of substation line losses".

[0099] In summary, the line loss investigation system for abnormal-loss substations provided by the present invention has the following beneficial effects: First, it greatly reduces the difficulty of manual on-site investigation. For example, it used to take at least 3-4 days from analysis and investigation to finding the problem in a substation with 600 households. Now, through the substation line loss curve matching analysis method, it is targeted and clear-cut, and it only takes about 20 minutes from analysis and investigation to finding the problem, which greatly improves work efficiency. Second, the accuracy is greatly improved. The previous analysis method, except for the accurate analysis of simple problems such as loss of pressure, interruption of current, and burnt meter, other line loss problems cannot be analyzed accurately at all, and the accuracy is less than 60%, but the substation line loss curve matching analysis method has an accuracy of more than 98%; Third, the traditional analysis method is basically helpless against high-tech electricity theft such as invisible meter burning and microwave electricity theft, but the substation line loss curve matching analysis method can easily identify the key users of high-tech electricity theft.

[0100] Obviously, the above embodiments are merely examples for the purpose of clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the present invention.

Claims

1. A line loss troubleshooting system for abnormal damage areas, characterized in that: include: The data collection module is used to collect the daily power supply and daily power sales of each substation today; collect the power data of each substation line today at each sampling time; collect the power consumption of each user in each substation today and in the previous 15 consecutive days and the line loss rate of each substation line; The big data module of the substation area is connected with the data collection module and the abnormal damage substation area problem result database, including: The abnormal loss area determination unit is used to calculate the line loss rate of each area according to the daily power supply and daily power sales of each area today; if the line loss rate of any area exceeds the normal threshold, the current area is an abnormal loss area, and then the abnormal loss areas of today are determined; The curve generating unit is used to generate the electric energy data curve of each abnormal damage area and line today according to the electric energy data of each abnormal damage area and line today collected at each sampling time; according to the electric energy consumption of each user in each abnormal damage area today and the previous 15 consecutive days, and the line loss rate of each abnormal damage area and line, generate the electric energy consumption curve of each user in each abnormal damage area today and the previous 15 consecutive days, and the line loss rate curve of each abnormal damage area and line; A minor problem troubleshooting unit is used to determine whether there are minor problems in each abnormal damage area based on the generated electric energy data curve of each abnormal damage area line today, and automatically enter the judgment result into the abnormal damage area problem result database; The moderate problem troubleshooting unit is used to take all abnormal damage areas today that have not been troubleshooted in the mild problem troubleshooting unit as all moderate abnormal damage areas today; use the VLOOKUP function tool to compare the power consumption of each user today in each moderate abnormal damage area with the power consumption of each user yesterday, and take the users whose power consumption difference between today and yesterday is greater than the power consumption change threshold as key users, and obtain multiple key users in each moderate abnormal damage area today; take the key users whose daily power consumption change exceeds the power consumption change threshold in each moderate abnormal damage area today as the target users of the corresponding moderate abnormal damage area, and obtain multiple target users in each moderate abnormal damage area today; determine that all moderate abnormal damage areas today where the number of target users is less than or equal to the preset number of households have moderate problems, and automatically include the information of each target user corresponding to each moderate abnormal damage area with moderate problems today into the abnormal damage area problem result library; The severe problem troubleshooting unit is used to take today's moderate abnormal damage areas where no problems have been found in the moderate problem unit or the number of target users exceeds the preset number of households as today's severe abnormal damage areas; the generated power consumption curves of each user in each severe abnormal damage area today and in the previous 15 consecutive days and the line loss rate curves of each severe abnormal damage area are overlapped and compared to obtain the curve overlap corresponding to each user in each severe abnormal damage area; if the curve overlap corresponding to any user in any severe abnormal damage area is 0, it means that the current user in the current severe abnormal damage area is a critical household with abnormal line loss, and then the critical households with abnormal line loss in each severe abnormal damage area today are obtained, and it is determined that each severe abnormal damage area today has severe problems; the information of each critical household with abnormal line loss in each severe abnormal damage area today is automatically included in the abnormal damage area problem result database; The report generation module is connected to the abnormal damage area problem result database; it is used to generate today's area line loss big data report based on the abnormal damage area problem result database and using industry and data fusion technology.

2. According to the abnormal damage area line loss investigation system of claim 1, it is characterized in that: The minor problems include: loss of voltage, current interruption, phase loss, current without power, power theft due to opening and closing covers, and collection failure.

3. A line loss troubleshooting system for abnormal damage areas according to claim 2, characterized in that: Based on the fact that the abnormal damage area today is a single-phase area, judging whether there is a slight problem in the abnormal damage area today includes: If the voltage value at one or more sampling moments in the voltage curve of the line in the abnormal damage area today is 0 or close to 0, then there is a voltage loss problem in the abnormal damage area today; If the current value of multiple consecutive sampling moments in the current curve of the line of the abnormal damage area today is 0 or close to 0, then there is a problem of current interruption in the abnormal damage area today; If the current curve of the line of the abnormal damage area today shows continuous growth, but the growth amount of the metering device corresponding to the abnormal damage area during the sampling period is less than the increment threshold, then the abnormal damage area today has the problem of current but no electricity; If the curve fluctuation amplitudes of the voltage curve and current curve of the line in the abnormal damage area today are both greater than the fluctuation threshold, and the record of opening the cover of the area metering device does not match the normal time, then there is a problem of electricity theft by opening and closing the cover in the abnormal damage area today; If there are missing voltage values ​​or current values ​​of multiple sampling points in the voltage curve or current curve of the line in the abnormal damage area today, there is a collection failure problem in the current abnormal damage area today.

4. The line loss troubleshooting system for abnormal damage areas according to claim 1 is characterized in that: Based on the fact that the abnormal damage area today is a three-phase area, judging whether there is a slight problem in the abnormal damage area today includes: If the current value at one or more sampling moments in the current curve of any phase line of the abnormal damage area today is greater than the rated current of the area of ​​the first proportional threshold, and the voltage value at one or more sampling moments in the voltage curve is lower than the normal working voltage of the area of ​​the second proportional threshold, then there is a voltage loss problem in the abnormal damage area today; If the voltage value at one or more sampling moments in the voltage curve of any phase line of the abnormal damage area today is lower than the critical voltage, and the current value at one or more sampling moments in the current curve is less than the rated current of the area of ​​the third proportional threshold, then the abnormal damage area today has a current interruption problem; If the voltage curve and current curve of one-phase or two-phase line in the abnormal damage area today are different from the voltage curve and current curve of the normal phase, or the voltage and current values ​​of the voltage curve and current curve of one-phase or two-phase line at multiple consecutive sampling moments are 0 or close to 0, then there is a phase loss problem in the abnormal damage area today; If the curve fluctuation amplitudes of the voltage curve and current curve of any phase line in the abnormal damage area today are greater than the fluctuation threshold, and the cover opening record of the area metering device does not match the normal time, then there is a problem of electricity theft by opening and closing the cover in the abnormal damage area today; If there are missing voltage values ​​or current values ​​of multiple sampling points in the voltage curve or current curve of any phase line in the abnormal damage area today, there is a collection failure problem in the abnormal damage area today.

5. The line loss troubleshooting system for abnormal damage areas according to claim 1, characterized in that: The moderate problem is an internal fault problem of the user's metering device.

6. The abnormal damage area line loss troubleshooting system according to claim 1, characterized in that: The serious problems include: invisible meter burning to steal electricity and microwave theft.

7. The line loss troubleshooting system for abnormal damage areas according to claim 1, characterized in that: If the key user is a single-phase meter user, the threshold for changes in electricity consumption is 10 kWh; if the key user is a three-phase meter user, the threshold for changes in electricity consumption is 20 kWh.

8. The line loss troubleshooting system for abnormal damage areas according to claim 1, characterized in that: The target user information and the key user information with abnormal line loss include user number, meter asset number and account name.

9. The line loss troubleshooting system for abnormal damage area according to claim 1, characterized in that: The preset number of households is 5.

10. A method for checking line loss in an abnormally damaged area, characterized in that: Using the abnormal damage area line loss investigation system as described in any one of claims 1 to 8, a large data report of line loss in today's area is generated, including: Use the data collection module to collect the daily power supply and daily power sales of each substation today; collect the power data of each substation line today at each sampling time; collect the power consumption of each user in each substation today and in the previous 15 consecutive days and the line loss rate of each substation line; The abnormal damage area determination unit in the area big data module is used to calculate the line loss rate of each area according to the daily power supply and daily power sales of each area today; if the line loss rate of any area exceeds the normal threshold, the current area is an abnormal damage area, and then the abnormal damage areas of today are determined; Utilize the curve generation unit in the area big data module, generate the electric energy data curve of each abnormal damage area line today according to the electric energy data of each abnormal damage area line today collected at each sampling time; generate the electric energy consumption curve of each user in each abnormal damage area and the line loss rate curve of each abnormal damage area line today and the previous 15 consecutive days according to the electric energy consumption of each user in each abnormal damage area and the line loss rate curve of each abnormal damage area line today and the previous 15 consecutive days; Using the minor problem troubleshooting unit in the area big data module, based on the generated electric energy data curve of each abnormal damage area line today, it is determined whether each abnormal damage area has a minor problem, and the judgment result is automatically included in the abnormal damage area problem result database; Utilize the moderate problem troubleshooting unit in the substation big data module, and take today's abnormal damage substations that have not been troubleshooted in the mild problem troubleshooting unit as today's moderate abnormal damage substations; use the VLOOKUP function tool to compare the power consumption of each user today in each moderate abnormal damage substation with the power consumption of each user yesterday, and take the users whose power consumption difference between today and yesterday is greater than the power consumption change threshold as key users, and obtain multiple key users in today's moderate abnormal damage substations; take the key users whose daily power consumption change exceeds their power consumption change threshold in today's moderate abnormal damage substations as the target users of the corresponding moderate abnormal damage substations, and obtain multiple target users in today's moderate abnormal damage substations; determine that today's moderate abnormal damage substations where the number of target users is less than or equal to the preset number of households have moderate problems, and automatically include the information of each target user corresponding to each moderate abnormal damage substation with moderate problems today into the abnormal damage substation problem result library; Using the severe problem troubleshooting unit in the substation big data module, all the medium-damaged substations today where no problems have been found in the moderate problem unit or the number of target users exceeds the preset number of households are taken as the severe-damaged substations today; the generated power consumption curves of each user in each severe-damaged substation today and in the previous 15 consecutive days and the line loss rate curves of each severe-damaged substation are overlapped and compared to obtain the curve matching degree corresponding to each user in each severe-damaged substation; if the curve matching degree corresponding to any user in any severe-damaged substation is 0, it means that the current user in the current severe-damaged substation is a critical household with abnormal line loss, and then the critical households with abnormal line loss in each severe-damaged substation today are obtained, and it is determined that there are severe problems in each severe-damaged substation today; the information of the critical households with abnormal line loss in each severe-damaged substation today is automatically included in the abnormal-damage substation problem result database; By using the report generation module, based on the abnormal loss substation problem result database and combining industry and data fusion technology, a big data report on line loss in today's substation is generated.

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