A method and system for determining a fault outage

Abstract

The application discloses a kind of power failure judging method and system, the present application includes using backtracking algorithm traversing all fault users in fault user list, generate the line fault range corresponding to different transformer station area;According to the fault judgment type of the line corresponding to the preset voltage grade line, the fault line in line fault range is judged, and the corresponding fault positioning information is generated according to the judgment result;Correlate fault positioning information with the fault user information in fault user list, generate fault management list data;According to the division of fault management list data in different jurisdiction, generate the corresponding work order and output.The technical problem that the existing technology needs rush repair personnel to verify the real range of fault, which leads to the technical problem that the work burden of rush repair personnel is increased.The application confirms the power grid fault type by using big data, and accurately confirms the fault boundary point, feeds back to the relevant staff and customers through work order information, reduces the complaints generated by customers because of power failure and needs to dial the phone to report trouble.

Description

Technical Field

[0001] This invention relates to the field of power outage fault detection technology, and in particular to a power outage fault detection method and system. Background Technology

[0002] As people's living standards improve, their tolerance for power outages is decreasing. This is forcing power grid companies to improve their power supply services. Rapid location and arrival for power outage repair is also a crucial component of this service level. With the gradual popularization of distribution network automation, the outage area of ​​a 10kV medium-voltage line fault can be isolated between two automated switches through the operation logic of the automated switches, effectively ensuring power supply to the non-faulty lines. The power supply department's dispatch center also determines the outage area from the automated information system through the isolated automated switches, thereby notifying distribution repair personnel of the outage area. Simultaneously, customer service personnel manually send outage notifications to users within the fault area through the customer service system. However, for the numerous and widespread 220V low-voltage customer outages, the distribution repair personnel can only determine the outage area by having the customers report the fault themselves via telephone.

[0003] Currently, power outage notifications primarily rely on distribution network automation systems to collect information and determine the outage area for 10kV medium-voltage lines. However, for power outages affecting widely distributed 220V or 380V low-voltage customers, the system cannot accurately determine the outage area or quickly notify repair personnel to arrive and restore power. Repair personnel must verify the actual fault location on-site, increasing their workload. Summary of the Invention

[0004] This invention provides a method and system for determining power outage faults, which solves the technical problem that existing technologies cannot accurately obtain the scope of power outage faults through related systems, quickly notify emergency repair personnel to arrive and restore power, and require emergency repair personnel to go to the site to verify the actual scope of the fault, thus increasing the workload of emergency repair personnel.

[0005] The first aspect of this invention provides a method for determining power outage faults, comprising:

[0006] Collect user electricity consumption data periodically and input it into a preset fault model;

[0007] The fault model is used to match faulty electricity data in all user electricity data to generate a corresponding list of faulty users.

[0008] A backtracking algorithm is used to traverse all fault users in the fault user list to generate the line fault range corresponding to different transformer substations.

[0009] According to the fault judgment type corresponding to the preset voltage level line, the faulty line within the fault range of the line is judged, and the corresponding fault location information is generated based on the judgment result.

[0010] Associate the fault location information with the fault user information in the fault user list to generate fault management list data;

[0011] The fault management list data is divided according to different jurisdictions, and corresponding work orders are generated and output.

[0012] Optionally, the method further includes:

[0013] The voltage data of the electricity meter is collected according to a preset number of times;

[0014] Based on the voltage threshold range in which the voltage value corresponding to the voltage data falls, a corresponding fault model is generated.

[0015] Optionally, the step of using a backtracking algorithm to traverse all fault users in the fault user list and generate the line fault range corresponding to different transformer substations includes:

[0016] Create a list of transformer substations;

[0017] Iterate through all faulty users in the faulty user list and store the transformer substation where each faulty user is located in the transformer substation list; wherein, each transformer substation has at least one faulty user.

[0018] Traverse all user nodes under the transformer substation and determine whether all user nodes are faulty user nodes;

[0019] If all the user nodes are faulty user nodes, then obtain all user nodes under the adjacent transformer substation, traverse all user nodes under the adjacent transformer substation and determine whether there are any faulty users.

[0020] If so, it is determined that a line fault has occurred in the adjacent transformer substation area, and a corresponding first line fault range is generated;

[0021] If not, then it is determined that a line fault has occurred in the transformer substation area, and a corresponding second line fault range is generated;

[0022] If some of the user nodes are faulty user nodes, then it is determined that there is a fault in the line between the transformer substation and the faulty user node, and a corresponding third line fault range is generated.

[0023] Optionally, the preset voltage level lines include medium-voltage lines and low-voltage lines; the step of determining the faulty lines within the fault range of the lines according to the fault judgment type corresponding to the preset voltage level lines, and generating corresponding fault location information based on the judgment result, includes:

[0024] Determine the voltage level of the line corresponding to the fault range of the line;

[0025] When the line corresponding to the line fault range is the medium-voltage line, the faulty line within the line fault range is determined according to the medium-voltage fault auxiliary judgment type corresponding to the medium-voltage line, and the corresponding first fault location information is generated based on the judgment result.

[0026] When the line corresponding to the line fault range is the low-voltage line, the faulty line within the line fault range is determined according to the high-frequency pulse signal judgment type corresponding to the low-voltage line, and the corresponding second fault location information is generated based on the judgment result.

[0027] Optionally, the step of determining the faulty line within the fault range according to the medium-voltage fault auxiliary judgment type corresponding to the medium-voltage line when the line fault range corresponds to the medium-voltage line, and generating corresponding first fault location information based on the judgment result, includes:

[0028] When the line fault range corresponds to the medium-voltage line, the transformers within the line fault range are divided according to the automatic sectionalizing switch to generate multiple transformer arrays;

[0029] Obtain the first current and voltage data of the load control terminals corresponding to each transformer during the preset first fault outage time period;

[0030] Determine whether the voltage data of the load control terminal corresponding to each transformer in the transformer array has reached the abnormal voltage threshold.

[0031] If so, a line graph is generated using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period.

[0032] Determine whether each of the transformers has malfunctioned based on the line graph;

[0033] If so, it is determined that the transformer has failed, and the corresponding first fault location information is generated and output.

[0034] If not, then the transformer is determined to be fault-free, and the transformer whose remaining voltage data in the transformer array reaches the abnormal voltage threshold is taken as the new transformer. Then, the process jumps to the step of generating a line graph using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period.

[0035] Optionally, the method further includes:

[0036] Select the second current data of the load control terminal corresponding to each transformer within the preset second fault outage time period;

[0037] Calculate the current and value of the second current data of all the load control terminals corresponding to all the transformers in each transformer array, and generate the line simulated current value;

[0038] Obtain the third current data corresponding to the automated sectionalizing switch of each transformer array, and calculate the current difference between the third current data corresponding to two adjacent automated sectionalizing switches to generate the actual line current value.

[0039] Calculate the difference between the simulated current value and the actual current value of the line;

[0040] Determine whether the difference in current values ​​reaches the current fault threshold;

[0041] If so, then it is determined that there is a fault point in the medium-voltage line range corresponding to the transformer array, and third fault location information is generated and output;

[0042] If not, it is determined that there is no fault point in the medium-voltage line range corresponding to the transformer array, and the fourth fault location information is generated and output.

[0043] Optionally, the system involves a high-frequency pulse signal generator, a smart meter, an air switch, and a concentrator. The load control terminal is connected to the high-frequency pulse signal generator and the smart meter, respectively, and the smart meter is connected to the air switch and the concentrator, respectively. The step of determining the faulty line within the fault range according to the high-frequency pulse signal judgment type corresponding to the low-voltage line when the line fault range corresponds to the low-voltage line, and generating corresponding second fault location information based on the judgment result, includes:

[0044] When the line corresponding to the fault range is the low-voltage line, the high-frequency pulse signal generated by the high-frequency pulse signal generator corresponding to the transformer area is input to the air switch;

[0045] The high-frequency pulse information fed back by the air switch is input into the smart meter to generate response information;

[0046] Determine whether the concentrator corresponding to the transformer area has received the response information output by the smart meter;

[0047] If so, it is determined that there is no fault in the line between the transformer substation and the smart meter, and that there is a fault in the line behind the smart meter, and the corresponding fifth fault location information is generated.

[0048] If not, it is determined that there is a fault in the line between the transformer substation and the smart meter, and the corresponding sixth fault location information is generated.

[0049] Optionally, a database is involved; the step of associating the fault location information with the fault user information in the fault user list to generate fault management list data includes:

[0050] Obtain the user information, user number, node number, and distribution network configuration information corresponding to the faulty user in the faulty user list from the database;

[0051] The fault location information and the distribution network configuration information of the faulty user are used to generate a fault management list data.

[0052] Optionally, a GIS system is involved; the step of dividing the fault management list data according to different jurisdictions, generating corresponding work orders, and outputting them includes:

[0053] The fault management list data is divided according to different jurisdictions to generate power outage fault work orders;

[0054] The user number, node number, and location information of the power outage fault work order are associated with the transformer topology map in the GIS system to generate a corresponding fault line display map.

[0055] The faulty circuit diagram is converted into an emergency repair work order, and corresponding emergency repair vehicle application form and emergency repair tool requisition work order are generated and output.

[0056] A second aspect of the present invention provides a power outage fault detection system, comprising:

[0057] The fault model module is used to periodically collect user electricity consumption data and input preset fault models;

[0058] The fault user list module is used to match faulty electricity data in all the user electricity data through the fault model and generate a corresponding fault user list.

[0059] The line fault range module is used to traverse all fault users in the fault user list using a backtracking algorithm to generate the line fault range corresponding to different transformer substations.

[0060] The fault location information module is used to determine the faulty line within the fault range of the line according to the fault judgment type corresponding to the preset voltage level line, and generate corresponding fault location information based on the judgment result.

[0061] The fault management list data module is used to associate the fault location information with the fault user information in the fault user list to generate fault management list data.

[0062] The work order module is used to divide the fault management list data according to different jurisdictions, generate corresponding work orders, and output them.

[0063] As can be seen from the above technical solutions, the present invention has the following advantages:

[0064] This invention collects user electricity consumption data periodically and inputs it into a preset fault model. It then matches the fault model with faulty electricity consumption data from all user electricity consumption data to generate a corresponding faulty user list. A backtracking algorithm is used to traverse all faulty users in the faulty user list, generating line fault ranges corresponding to different transformer substations. The faulty lines within the line fault range are determined according to the fault judgment type corresponding to the preset voltage level, and corresponding fault location information is generated based on the judgment results. The fault location information is correlated with the faulty user information in the faulty user list to generate fault management list data. The fault management list data is divided according to different jurisdictions, and corresponding work orders are generated and output. This solves the technical problem of existing technologies being unable to obtain accurate fault outage ranges through relevant systems and quickly notify repair personnel to arrive for emergency repairs, requiring repair personnel to verify the actual fault range on-site, thus increasing the workload of repair personnel. This invention utilizes big data to confirm the type of power grid fault and accurately identify fault demarcation points, feeding back the information to relevant personnel and customers through work order information, reducing customer complaints caused by having to make phone calls to report faults during power outages. Attached Figure Description

[0065] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0066] Figure 1 This is a flowchart of the steps of a power outage fault judgment method provided in Embodiment 1 of the present invention;

[0067] Figure 2 This is a flowchart of the steps of a power outage fault determination method provided in Embodiment 2 of the present invention;

[0068] Figure 3 This is a structural block diagram of a power outage fault detection system provided in Embodiment 3 of the present invention. Detailed Implementation

[0069] This invention provides a method and system for determining power outage faults, which addresses the technical problem that existing technologies cannot accurately determine the scope of power outages through relevant systems, quickly notify emergency repair personnel to arrive and restore power, and require emergency repair personnel to verify the actual scope of the fault on-site, thus increasing the workload of emergency repair personnel.

[0070] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0071] Please see Figure 1 , Figure 1 The flowchart illustrates the steps of a power outage fault determination method provided in Embodiment 1 of the present invention.

[0072] The present invention provides a method for determining power outage faults, comprising the following steps:

[0073] 101. Collect user electricity consumption data periodically and input the preset fault model.

[0074] It should be noted that user electricity consumption data includes the user's meter number, the time of collection, and the corresponding meter voltage and current values. The fault model can be defined based on the user's electricity consumption data. It primarily involves collecting user electricity consumption data multiple times within a short period and comparing the collected data with normal data to determine if any anomalies exist, thus enabling rapid filtering of abnormal data.

[0075] In a specific embodiment, user electricity consumption data is collected periodically. The collection of electricity consumption data can be achieved by using fully covered smart meters to collect the user's meter voltage and current information, and the user electricity consumption data is uploaded to the electricity consumption information database periodically. The electricity consumption information database can be a Hadoop distributed database, which aggregates and saves the electricity consumption data of tens of thousands of users in the jurisdiction at each point in time.

[0076] 102. By matching faulty electricity consumption data from all user electricity consumption data using the fault model, a corresponding list of faulty users is generated.

[0077] It should be noted that the list of faulty users includes user information, contact information, smart meter number, data collection time, and the corresponding meter voltage and current values.

[0078] In a specific embodiment, the collected user electricity consumption data is matched using a fault model. The Storm cluster real-time big data processing system can be used to combine massive real-time electricity consumption data and fault models in the Hadoop distributed database to perform preliminary matching, identify the smart meter numbers of the faulty users, and thus form a corresponding list of faulty users.

[0079] 103. Use a backtracking algorithm to traverse all fault users in the fault user list and generate the line fault range corresponding to different transformer substations.

[0080] It's important to note that backtracking algorithms are essentially similar to an enumerated search process. The main function is to find a solution during the search. When the solution conditions are no longer met, the algorithm "backtracks" and tries another path. Backtracking is an optimization-based search method that searches forward according to optimal conditions to reach the goal. However, when it reaches a step where it finds that the original choice was not optimal or could not reach the goal, it backtracks and chooses again. This technique of retreating when a path is blocked is called backtracking, and the point in a state that meets the backtracking conditions is called a "backtracking point."

[0081] In a specific embodiment, the transformer substation corresponding to one of the faulty users in the faulty user list is obtained. All users under that transformer substation are traversed, and it is determined whether some user nodes are faulty or all users are faulty. If some user nodes are faulty, it means that the line fault is within the range of this transformer substation. If all user nodes are faulty, it may mean that another transformer substation adjacent to this transformer substation is faulty, which causes the user nodes of this transformer substation to be faulty. In this case, it means that the line fault is within the range of the adjacent transformer substation.

[0082] 104. Determine the faulty lines within the fault range according to the fault judgment type corresponding to the preset voltage level lines, and generate corresponding fault location information based on the judgment results.

[0083] It should be noted that the preset voltage level lines include medium voltage lines and low voltage lines, and the fault judgment types include medium voltage fault auxiliary judgment type and high frequency pulse signal judgment type.

[0084] In a specific implementation, it is determined whether the power outage is caused by a medium-voltage line fault or a fault within the low-voltage line of the transformer substation, thereby identifying the actual affected users. If a faulty user node appears in the transformer substation corresponding to the line fault area, the Hadoop distributed database is used to match whether the transformer substation corresponding to the faulty user node belongs to the same medium-voltage line. If so, the fault range is confirmed by comparing with the distribution network automation system, confirming that the transformer substation is within the medium-voltage fault outage range, and thus determining it to be a medium-voltage line fault. If not, it is initially identified as a low-voltage substation fault.

[0085] Specifically, if the fault area corresponds to a medium-voltage line, the medium-voltage fault auxiliary judgment type is used to determine which transformer is faulty. Specifically, the fault area is divided into transformers according to the automated sectionalizing switches. The corresponding lines for each transformer are checked for faults. If a fault is found, the transformer itself is confirmed to be faulty. This judgment information is used to generate the first fault location information and uploaded to the distribution network dispatch system and to repair personnel to assist in locating medium-voltage line faults.

[0086] Specifically, if the line fault corresponds to a low-voltage line, multiple high-frequency pulse signals are continuously emitted by a high-frequency pulse signal generator installed at the main meter of the distribution area or the load control terminal. The high-frequency pulse signals are radiated along the low-voltage line to each user's smart meter and the low-voltage air switch at its asset boundary. Generally, the air switch is installed after the smart meter. If the concentrator receives the high-frequency pulse information fed back by the air switch, it indicates that the line between the main meter of the distribution area and the air switch is normal, that is, it indicates that the fault belongs to the line after the user's meter, and fault location information of the line after the user's meter is generated. If the concentrator does not receive the high-frequency pulse information fed back by the air switch, it indicates that the line between the main meter of the distribution area and the air switch has a fault, and fault location information of the line between the main meter of the distribution area and the air switch has a fault is generated.

[0087] 105. Associate the fault location information with the fault user information in the fault user list to generate fault management list data.

[0088] It should be noted that a database is involved, from which the corresponding user ID, node ID, location information of the distribution network, customer information, and contact information can be further obtained.

[0089] In a specific embodiment, the smart meter numbers in the fault user list are extracted, and the user number, node number, distribution network location information, customer information, contact information and fault location information corresponding to the smart meter number are used to organize and generate fault management list data, which is then uploaded to the database.

[0090] 106. Divide the fault management list data according to different jurisdictions, generate corresponding work orders and output them.

[0091] It should be noted that work orders can include, but are not limited to, power outage work orders and emergency repair work orders.

[0092] In a specific embodiment, the fault management list data is divided according to different jurisdictions, and the relevant information is summarized into a power outage fault work order and sent to the emergency repair personnel. Then, an emergency repair work order is generated based on the location information of the line to be repaired.

[0093] This invention collects user electricity consumption data periodically and inputs it into a preset fault model. It then matches the fault model with faulty electricity consumption data from all user electricity consumption data to generate a corresponding faulty user list. A backtracking algorithm is used to traverse all faulty users in the faulty user list, generating line fault ranges corresponding to different transformer substations. The faulty lines within the line fault range are determined according to the fault judgment type corresponding to the preset voltage level, and corresponding fault location information is generated based on the judgment results. The fault location information is correlated with the faulty user information in the faulty user list to generate fault management list data. The fault management list data is divided according to different jurisdictions, and corresponding work orders are generated and output. This solves the technical problem of existing technologies being unable to obtain accurate fault outage ranges through relevant systems and quickly notify repair personnel to arrive for emergency repairs, requiring repair personnel to verify the actual fault range on-site, thus increasing the workload of repair personnel. This invention utilizes big data to confirm the type of power grid fault and accurately identify fault demarcation points, feeding back the information to relevant personnel and customers through work order information, reducing customer complaints caused by having to make phone calls to report faults during power outages.

[0094] Please see Figure 2 , Figure 2 This is a flowchart of a power outage fault determination method provided in Embodiment 2 of the present invention.

[0095] The present invention provides a method for determining power outage faults, comprising the following steps:

[0096] 201. Collect user electricity consumption data periodically and input the preset fault model.

[0097] In this embodiment of the invention, the specific implementation process of step 201 is similar to that of step 101, and will not be repeated here.

[0098] 202. By matching faulty electricity consumption data from all user electricity consumption data using the fault model, a corresponding list of faulty users is generated.

[0099] In this embodiment of the invention, the specific implementation process of step 202 is similar to that of step 102, and will not be repeated here.

[0100] 203. Use a backtracking algorithm to traverse all fault users in the fault user list and generate the line fault range corresponding to different transformer substations.

[0101] Optionally, step 203 includes the following steps S11-S17:

[0102] S11. Create a list of transformer substations;

[0103] S12. Traverse all fault users in the fault user list and store the transformer substation where each fault user is located into the transformer substation list; wherein, each transformer substation has at least one fault user.

[0104] S13. Traverse all user nodes under the transformer substation and determine whether all user nodes are faulty user nodes.

[0105] S14. If all user nodes are faulty user nodes, then obtain all user nodes under the adjacent transformer substation, traverse all user nodes under the adjacent transformer substation and determine whether there are any faulty users.

[0106] S15. If so, then determine that a line fault has occurred in the adjacent transformer substation area and generate the corresponding first line fault range.

[0107] S16. If not, then determine that a line fault has occurred in the transformer substation area and generate the corresponding second line fault range.

[0108] S17. If some user nodes are faulty user nodes, then it is determined that there is a fault in the line between the transformer substation and the faulty user nodes, and the corresponding third line fault range is generated.

[0109] It should be noted that the transformer substation list refers to a list composed of all user nodes under each transformer substation, and the electricity user data corresponding to each user node, which are sorted in a certain order.

[0110] In a specific implementation, assuming the current user node is x, an empty list is created to store the list of transformer substations, such as transformerList = []. The transformer substation x.transformer where x is located is obtained and stored in the transformerList. All user nodes under x.transformer are traversed, the fault status of each user node is determined, and the faulty user node is stored under the corresponding transformer substation transformer.

[0111] If all user nodes under x.transformer are faulty, then obtain their adjacent transformer substations, traverse the fault status of their user nodes, and if all adjacent transformer substations are in good condition, then determine that the fault point is located within the x.transformer line and generate the corresponding second line fault range; otherwise, determine that the line within the adjacent transformer substation is faulty and generate the corresponding first line fault range.

[0112] If some user nodes under x.transformer fail, the fault point is located between the transformer substation and the user node. Repeat the above steps until all faulty user lists have been traversed.

[0113] 204. Determine the faulty lines within the fault range according to the fault judgment type corresponding to the preset voltage level lines, and generate corresponding fault location information based on the judgment results.

[0114] Optionally, the preset voltage level lines include medium-voltage lines and low-voltage lines; step 204 includes the following steps S21-S23:

[0115] S21. Determine the voltage level of the line corresponding to the fault range;

[0116] S22. When the line fault range corresponds to a medium-voltage line, the faulty line within the line fault range is determined according to the medium-voltage fault auxiliary judgment type corresponding to the medium-voltage line, and the corresponding first fault location information is generated based on the judgment result.

[0117] S23. When the line corresponding to the line fault range is a low-voltage line, the faulty line within the line fault range is determined according to the high-frequency pulse signal judgment type corresponding to the low-voltage line, and the corresponding second fault location information is generated based on the judgment result.

[0118] In a specific embodiment, when a faulty user node occurs in transformer substations x, y, and z corresponding to the line fault range, the Hadoop distributed database is used to match whether transformer substations x, y, and z belong to the same medium-voltage line. If they do, the fault range is confirmed by comparing with the distribution network automation system. If transformer substations x, y, and z are confirmed to be within the medium-voltage fault outage range, they are determined to be medium-voltage line faults. If not, they are initially identified as low-voltage substation faults.

[0119] Optionally, step S22 includes the following steps S221-S227:

[0120] S221. When the line fault range corresponds to a medium-voltage line, divide the transformers within the line fault range according to the automatic sectionalizing switch and generate multiple transformer arrays.

[0121] S222. Obtain the first current data and voltage data of the load control terminal corresponding to each transformer during the preset first fault outage time period;

[0122] S223. Determine whether the voltage data of the load control terminal corresponding to each transformer in the transformer array has reached the abnormal voltage threshold.

[0123] S224. If so, then use the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period to generate a line graph;

[0124] S225. Determine whether each transformer has failed based on the line graph;

[0125] S226. If so, then determine that the transformer has failed, generate the corresponding first fault location information and output it;

[0126] S227. If not, then determine that the transformer is fault-free, and take the transformer corresponding to the abnormal voltage threshold in the remaining voltage data in the transformer array as the new transformer, and jump to execute the step of generating a line graph using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault power outage period.

[0127] It should be noted that the preset first fault outage time period is 5 minutes before the fault outage time; the line graph can display the continuous first current data that changes over time (according to the commonly used scale setting); the abnormal voltage threshold refers to the voltage value above 380V.

[0128] In this embodiment of the invention, when the line fault range corresponds to a medium-voltage line, the transformers within the line fault range are divided according to the automatic sectionalizing switch. The transformers within the range of the automatic sectionalizing switch form a transformer array, generating multiple transformer arrays (L, M, N...). These transformer arrays are merged into a set of numbers, named "medium-voltage shutdown battery", and uploaded to the Hadoop distributed database.

[0129] The voltage data of the load control terminals corresponding to each transformer in the transformer array (L) at the same time are extracted. It is determined whether the voltage data of the load control terminals corresponding to each transformer in the transformer array reaches 380V. Assuming that the voltage data of transformer z reaches 380V, indicating an anomaly, the first current data of transformer z in the medium-voltage power supply is further filtered out and converted into a line graph (current value on the vertical axis, time on the horizontal axis). The line graph is checked for a sudden increase in current. If so, it can be confirmed that transformer z itself has a fault, belonging to one of the medium-voltage line fault points in the transformer array (L). This judgment information is used to generate the first fault location information and uploaded to the distribution network dispatch system and emergency repair personnel to assist in fault location of the medium-voltage line. If there is no sudden increase, it can be confirmed that transformer z itself has not faulted. The remaining transformers in the transformer array whose voltage data reaches 380V are treated as new transformers, and the steps of generating line graphs and determining whether these transformers have faults are repeated.

[0130] Optionally, the system involves a high-frequency pulse signal generator, a smart meter, an air switch, and a concentrator. The load control terminal is connected to the high-frequency pulse signal generator and the smart meter, respectively, and the smart meter is connected to the air switch and the concentrator, respectively. Step S23 includes the following steps S231-S235:

[0131] S231. When the line fault area corresponds to a low-voltage line, input the high-frequency pulse signal generated by the high-frequency pulse signal generator corresponding to the transformer area into the air switch.

[0132] S232. Input the high-frequency pulse information fed back by the air switch into the smart meter to generate response information;

[0133] S233. Determine whether the concentrator corresponding to the transformer area has received the response information output by the smart meter;

[0134] S234. If so, then determine that there is no fault in the line between the transformer substation and the smart meter, and determine that there is a fault in the line after the smart meter, and generate the corresponding fifth fault location information.

[0135] S235. If not, then it is determined that there is a fault in the line between the transformer substation and the smart meter, and the corresponding sixth fault location information is generated.

[0136] It should be noted that the second fault location information includes the fifth fault location information and the sixth fault location information.

[0137] In a specific embodiment, when the line fault area corresponds to a low-voltage line, multiple high-frequency pulse signals are continuously emitted by a high-frequency pulse signal generator installed at the main meter of the distribution area or the load control terminal. The high-frequency pulse signals are radiated along the low-voltage line to each user's smart meter and the low-voltage air switch at its asset boundary. Generally, the air switch is installed after the smart meter. Specifically, a high-frequency bypass device with a capacitor is also needed to be added to the air switch to allow the high-frequency pulse signal to pass through, and to prevent the power frequency AC current from passing through the high-frequency bypass device in daily operation.

[0138] The smart meter receives high-frequency pulse information from the circuit breaker as a criterion and sends it to the concentrator. If the concentrator corresponding to the transformer substation receives the response information from the smart meter, it can confirm that the low-voltage conductor from the main meter in the transformer substation to the user can transmit signals or power normally. This indicates a fault in the user's downstream line, generating the fifth fault location information for the user's downstream line. Since the asset is not under the maintenance of the power supply bureau and does not require handling by the power supply bureau's emergency repair personnel, the fifth fault location information for the user's downstream line is sent to customer service, informing the customer that the user's asset has malfunctioned and needs to be maintained and handled by the customer themselves. This avoids false reports of power outages due to customer-owned asset faults, which would waste time for emergency repair personnel to confirm the fault and delay the repair of other faults.

[0139] If the concentrator corresponding to the transformer substation does not receive the response information output by the smart meter, it can be confirmed that there is a fault in the low-voltage line, such as a broken low-voltage wire between the main meter of the transformer substation and the user, which causes the power to be unable to be transmitted and requires emergency repair.

[0140] Optionally, this method further includes the following steps S31-S37:

[0141] S31. Select the second current data of the load control terminal corresponding to each transformer within the preset second fault outage time period.

[0142] S32. Calculate the current and value of the second current data of the load control terminal corresponding to all transformers in each transformer array, and generate the line simulation current value.

[0143] S33. Obtain the third current data corresponding to the automatic sectionalizing switch of each transformer array, and calculate the current difference between the third current data corresponding to two adjacent automatic sectionalizing switches to generate the actual line current value.

[0144] S34. Calculate the difference between the simulated current value and the actual current value of the line.

[0145] S35. Determine whether the current value difference reaches the current fault threshold.

[0146] S36. If so, then determine that there is a fault point in the medium-voltage line range corresponding to the transformer array, generate the third fault location information and output it;

[0147] S37. If not, then determine that there is no fault point in the medium-voltage line range corresponding to the transformer array, generate the fourth fault location information and output it.

[0148] It should be noted that the preset second fault outage time period is the moment before the fault outage time; the current fault threshold is 20%.

[0149] In a specific embodiment, the second current data of the load control terminal corresponding to each transformer at the moment before the power outage time is selected, and the sum of the second current data of all transformers in each transformer array is calculated to generate the line simulated current value I. L I M I N In the distribution network automation system, the third current data corresponding to the automated sectionalizing switches of each transformer array is extracted, and the difference between the third current data corresponding to two adjacent automated sectionalizing switches is taken as the actual line current I. L真 I M真 I N真 ...Create a blank table with the simulated circuit current value I. L With the actual line current I L真 Perform corresponding matching, taking into account line loss deviations, such as the simulated line current value I. L With the actual line current I L真 If the difference is no more than 20%, based on Kirchhoff's current law, it can be determined that no fault has occurred within the fault range of the medium-voltage line corresponding to transformer array L. The third fault location information is sent to the distribution network automation system and emergency repair personnel: "It is confirmed that there is no fault within the medium-voltage fault range between switch xx and switch xxx, and no fault inspection is required."

[0150] Otherwise, if the current deviation is too large, it can be determined that there is a fault point within the medium-voltage line range corresponding to transformer array L. A fourth fault location message is then sent to the distribution network automation system and emergency repair personnel: "A fault has been confirmed within the medium-voltage fault range between switch xx and switch xxx, and a fault inspection is required." This reduces the number of devices that emergency repair personnel need to inspect during fault patrols, improves the efficiency of fault location, and is mainly used for auxiliary judgment of medium-voltage faults in single-radial lines that do not have self-healing functions.

[0151] 205. Associate the fault location information with the fault user information in the fault user list to generate fault management list data.

[0152] Optionally, a database is involved; step 205 includes the following steps S41-S42:

[0153] S41. Obtain the user information, user number, node number, and distribution network configuration information corresponding to the faulty user in the faulty user list from the database.

[0154] S42. Using the fault location information and the distribution network configuration information of the faulty user, generate fault management list data.

[0155] In a specific embodiment, the smart meter number is extracted from the list of faulty users, and the corresponding user number, node number, location information of the distribution network, customer information and contact information are further obtained from the database. Combined with the fault location information determined above, fault management list data is generated and uploaded to the Hadoop distributed database.

[0156] 206. Divide the fault management list data according to different jurisdictions and generate power outage fault work orders.

[0157] In a specific embodiment, the fault management list data is divided according to different jurisdictions, and the relevant information is summarized into a power outage fault work order and sent to the emergency repair personnel.

[0158] Specifically, the relevant information is integrated to generate a power outage fault work order. As follows:

[0159] A power outage has occurred in a certain area. Please arrange for repair personnel to handle the situation as soon as possible. Details are as follows:

[0160] 1. Transformer area A, located in xx street, the fault affects the following users:

[0161] 1.1 Li xx, mobile phone number xxx, home address xx, fault information: xx month xx day 00:00:00 current / voltage xx;

[0162] 1.2 Chen xx, mobile phone number xxx, home address xx, fault information: xx month xx day 00:00:00 current / voltage xx;

[0163] 2. Transformer area B, located in xx street, affects the following users:

[0164] 2.1 Li xx, mobile phone number xxx, home address xx, fault information: xx month xx day 00:00:00 current / voltage xx;

[0165] 2.2 Chen xx, mobile phone number xxx, home address xx, fault information: xx month xx day 00:00:00 current / voltage xx.

[0166] 207. Associate the user number, node number, and location information of the power outage fault work order with the transformer topology map in the GIS system to generate the corresponding fault line display map.

[0167] In a specific embodiment, the user ID, node ID, and location information of the distribution network are associated with the transformer low-voltage topology map of the GIS system. The lines within the fault range are highlighted. Using the "point-to-point map" function developed by China Southern Power Grid, the repair personnel click on the highlighted fault line to generate the corresponding fault line display map.

[0168] 208. Convert the faulty circuit display diagram into an emergency repair work order, and generate and output the corresponding emergency repair vehicle application form and emergency repair tool requisition work order.

[0169] In a specific embodiment, the faulty circuit display diagram automatically generates an emergency repair work order, and proceeds to the next step. Furthermore, the distribution network location information of the user ID obtained above is pushed to the vehicle management system, which generates an emergency repair vehicle application form and sends it to the duty supervisor for approval before dispatching the vehicle.

[0170] Specifically, the emergency repair work order number is pushed to the tool requisition system, automatically generating an emergency repair tool requisition form for issuing and requisitioning tools. Through algorithms, an emergency repair work plan is compiled and pushed to the safety management system, generating a safety control work order to remind safety supervisors to track the emergency repair work and conduct safety supervision and management. Confirmed fault information is pushed to multiple systems to assist emergency repair personnel in preparing for repairs and to maintain relevant system records. This achieves the company's goal of making emergency repair work visible and controllable.

[0171] Optionally, this method further includes the following steps S51-S52:

[0172] S51. Collect the voltage data of the meter according to the preset number of times;

[0173] S52. Generate the corresponding fault model based on the voltage threshold range of the voltage value corresponding to the voltage data.

[0174] It should be noted that the preset number of attempts includes 5 and 2. The voltage threshold range includes below 110V and 0V.

[0175] In a specific embodiment, the fault model can be customized based on user electricity consumption data. For example, if a single user's electricity consumption data shows that the voltage value is below 110V for five consecutive times or the voltage value is 0V for two consecutive times, the user's electricity consumption can be considered faulty, and the user can be preliminarily identified as a faulty user. This step is used for preliminary screening of faulty users; therefore, the fault model mainly targets short-term electricity consumption data to enable rapid screening of faulty users.

[0176] This invention collects user electricity consumption data periodically and inputs it into a preset fault model. It then matches the fault model with faulty electricity consumption data from all user electricity consumption data to generate a corresponding faulty user list. A backtracking algorithm is used to traverse all faulty users in the faulty user list, generating line fault ranges corresponding to different transformer substations. The faulty lines within the line fault range are determined according to the fault judgment type corresponding to the preset voltage level, and corresponding fault location information is generated based on the judgment results. The fault location information is correlated with the faulty user information in the faulty user list to generate fault management list data. The fault management list data is divided according to different jurisdictions, and corresponding work orders are generated and output. This solves the technical problem of existing technologies being unable to obtain accurate fault outage ranges through relevant systems and quickly notify repair personnel to arrive for emergency repairs, requiring repair personnel to verify the actual fault range on-site, thus increasing the workload of repair personnel. This invention utilizes big data to confirm the type of power grid fault and accurately identify fault demarcation points, feeding back the information to relevant personnel and customers through work order information, reducing customer complaints caused by having to make phone calls to report faults during power outages.

[0177] Please see Figure 3 , Figure 3 This is a structural block diagram of a power outage fault detection system provided in Embodiment 3 of the present invention.

[0178] The present invention provides a power outage fault detection system, comprising:

[0179] The fault model module 301 is used to periodically collect user electricity consumption data and input preset fault models.

[0180] The fault user list module 302 is used to match faulty electricity data in all user electricity data through a fault model to generate a corresponding fault user list.

[0181] The line fault range module 303 is used to traverse all fault users in the fault user list using a backtracking algorithm to generate the line fault range corresponding to different transformer substations.

[0182] The fault location information module 304 is used to determine the faulty line within the fault range of the line according to the fault judgment type corresponding to the preset voltage level line, and generate the corresponding fault location information based on the judgment result.

[0183] The fault management list data module 305 is used to associate fault location information with fault user information in the fault user list to generate fault management list data.

[0184] The work order module 306 is used to divide the fault management list data according to different jurisdictions, generate corresponding work orders, and output them.

[0185] Optionally, the line fault range module 303 includes:

[0186] The Transformer Area List submodule is used to create a list of transformer areas;

[0187] The transformer sub-module is used to traverse all fault users in the fault user list and store the transformer sub-area where each fault user is located into the transformer sub-area list; wherein, each transformer sub-area has at least one fault user.

[0188] The fault user node submodule is used to traverse all user nodes under the transformer substation and determine whether all user nodes are fault user nodes.

[0189] The "Faulty User Submodule" is used to obtain all user nodes under the adjacent transformer substation if all user nodes are faulty user nodes, traverse all user nodes under the adjacent transformer substation and determine whether there are any faulty users.

[0190] The first line fault range submodule is used to determine if a line fault has occurred in the adjacent transformer area and generate the corresponding first line fault range if the condition is met.

[0191] The second line fault range submodule is used to determine if a line fault has occurred within the transformer substation area and generate the corresponding second line fault range if no fault occurs.

[0192] The third line fault range submodule is used to determine that a line fault has occurred between the transformer substation and the faulty user node if some user nodes are faulty user nodes, and to generate the corresponding third line fault range.

[0193] Optionally, the preset voltage level lines include medium-voltage lines and low-voltage lines; the fault location information module 304 includes:

[0194] The voltage level submodule is used to determine the voltage level of the line corresponding to the fault range.

[0195] The first fault location information submodule is used to determine the faulty line within the fault range according to the medium-voltage fault auxiliary judgment type corresponding to the medium-voltage line when the line corresponding to the fault range is a medium-voltage line, and generate the corresponding first fault location information based on the judgment result.

[0196] The second fault location information submodule is used to determine the faulty line within the fault range according to the high-frequency pulse signal judgment type corresponding to the low-voltage line when the line corresponding to the fault range is a low-voltage line, and generate the corresponding second fault location information based on the judgment result.

[0197] Optionally, the first fault location information submodule includes:

[0198] The transformer array submodule is used to divide the transformers within the fault range according to the automatic sectionalizing switch when the line corresponding to the line fault range is a medium voltage line, and generate multiple transformer arrays.

[0199] The first voltage data submodule is used to acquire the first current data and voltage data of the load control terminal corresponding to each transformer during the preset first fault outage time period.

[0200] The abnormal voltage threshold submodule is used to determine whether the voltage data of the load control terminal corresponding to each transformer in the transformer array has reached the abnormal voltage threshold.

[0201] The line graph submodule is used to generate a line graph by using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period if the condition is met.

[0202] The transformer fault detection submodule is used to determine whether each transformer has a fault based on a line graph.

[0203] The transformer fault determination submodule is used to determine if a transformer fault has occurred, generate the corresponding first fault location information, and output it.

[0204] The transformer fault-free submodule is used to determine that the transformer is fault-free if the condition is not met. It then selects the transformer whose remaining voltage data in the transformer array reaches the abnormal voltage threshold as the new transformer and jumps to execute the step of generating a line graph using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period.

[0205] Optionally, the system involves a high-frequency pulse signal generator, a smart meter, an air switch, and a concentrator. The load control terminal is connected to the high-frequency pulse signal generator and the smart meter, respectively, and the smart meter is connected to the air switch and the concentrator, respectively. The second fault location information submodule includes:

[0206] The air switch submodule is used to input the high-frequency pulse signal generated by the high-frequency pulse signal generator corresponding to the transformer substation into the air switch when the line fault range corresponds to a low-voltage line.

[0207] The response information submodule is used to input the high-frequency pulse information fed back by the air switch into the smart meter to generate response information;

[0208] The output response information submodule is used to determine whether the concentrator corresponding to the transformer area has received the response information output by the smart meter;

[0209] The fifth fault location information submodule is used to determine, if yes, that there is no fault in the line between the transformer substation and the smart meter, and to determine that there is a fault in the line after the smart meter, and to generate the corresponding fifth fault location information.

[0210] The sixth fault location information generation submodule is used to determine, if not, that there is a fault in the line between the transformer substation and the smart meter, and to generate the corresponding sixth fault location information.

[0211] Optionally, this system also includes:

[0212] The second current data submodule is used to select the second current data of the load control terminal corresponding to each transformer within the preset second fault outage time period.

[0213] The line simulation current value submodule is used to calculate the current and value of the second current data of the load control terminal corresponding to all transformers in each transformer array, and generate the line simulation current value.

[0214] The line real current value submodule is used to obtain the third current data corresponding to the automatic sectionalizing switch of each transformer array, and calculate the current difference between the third current data corresponding to two adjacent automatic sectionalizing switches to generate the line real current value.

[0215] The current difference submodule is used to calculate the difference between the simulated current value and the actual current value of the line.

[0216] The current fault threshold submodule is used to determine whether the difference in current values ​​reaches the current fault threshold.

[0217] The third fault location information submodule is used to determine if there is a fault point in the medium-voltage line range corresponding to the transformer array, generate the third fault location information and output it.

[0218] The fourth fault location information submodule is used to determine if there is no fault point in the medium-voltage line range corresponding to the transformer array, generate the fourth fault location information and output it.

[0219] Optionally, a database is involved; the fault management list data module 305 includes:

[0220] The distribution network configuration information submodule is used to obtain user information, user number, node number and distribution network configuration information corresponding to the fault users in the fault user list in the database;

[0221] The fault management list data submodule is used to generate fault management list data by using fault location information and the distribution network configuration information of the faulty user.

[0222] Optionally, the work order module 306 includes:

[0223] The fault line display map submodule is used to associate the user number, node number, and location information of the power outage fault work order with the transformer topology map in the GIS system to generate the corresponding fault line display map.

[0224] The Emergency Repair Tools and Equipment Requisition Work Order submodule is used to convert the fault circuit display diagram into an emergency repair work order, and generate and output the corresponding emergency repair vehicle application form and emergency repair tools and equipment requisition work order.

[0225] Optionally, this system also includes:

[0226] The second voltage data submodule is used to collect the voltage data of the meter according to a preset number of times;

[0227] The fault model submodule is used to generate the corresponding fault model based on the voltage threshold range in which the voltage value corresponding to the voltage data is located.

[0228] This invention collects user electricity consumption data periodically and inputs it into a preset fault model. It then matches the fault model with faulty electricity consumption data from all user electricity consumption data to generate a corresponding faulty user list. A backtracking algorithm is used to traverse all faulty users in the faulty user list, generating line fault ranges corresponding to different transformer substations. The faulty lines within the line fault range are determined according to the fault judgment type corresponding to the preset voltage level, and corresponding fault location information is generated based on the judgment results. The fault location information is correlated with the faulty user information in the faulty user list to generate fault management list data. The fault management list data is divided according to different jurisdictions, and corresponding work orders are generated and output. This solves the technical problem of existing technologies being unable to obtain accurate fault outage ranges through relevant systems and quickly notify repair personnel to arrive for emergency repairs, requiring repair personnel to verify the actual fault range on-site, thus increasing the workload of repair personnel. This invention utilizes big data to confirm the type of power grid fault and accurately identify fault demarcation points, feeding back the information to relevant personnel and customers through work order information, reducing customer complaints caused by having to make phone calls to report faults during power outages.

[0229] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0230] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection between apparatuses or units through some interfaces, and may be electrical, mechanical, or other forms.

[0231] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0232] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0233] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0234] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining power outage faults, characterized in that, include: Collect user electricity consumption data periodically and input it into a preset fault model; The fault model is used to match faulty electricity data in all user electricity data to generate a corresponding list of faulty users. A backtracking algorithm is used to traverse all fault users in the fault user list to generate the line fault range corresponding to different transformer substations. According to the fault judgment type corresponding to the preset voltage level line, the faulty line within the fault range of the line is judged, and the corresponding fault location information is generated based on the judgment result. Associate the fault location information with the fault user information in the fault user list to generate fault management list data; The fault management list data is divided according to different jurisdictions, corresponding work orders are generated and output; The preset voltage level lines include medium-voltage lines and low-voltage lines; the step of determining the faulty lines within the fault range of the lines according to the fault judgment type corresponding to the preset voltage level lines, and generating corresponding fault location information based on the judgment result, includes: Determine the voltage level of the line corresponding to the fault range of the line; When the line corresponding to the line fault range is the medium-voltage line, the faulty line within the line fault range is determined according to the medium-voltage fault auxiliary judgment type corresponding to the medium-voltage line, and the corresponding first fault location information is generated based on the judgment result. When the line corresponding to the line fault range is the low-voltage line, the faulty line within the line fault range is determined according to the high-frequency pulse signal judgment type corresponding to the low-voltage line, and the corresponding second fault location information is generated based on the judgment result. The step of determining the faulty line within the fault range according to the medium-voltage fault auxiliary judgment type corresponding to the medium-voltage line when the line fault range is the medium-voltage line, and generating corresponding first fault location information based on the judgment result, includes: When the line fault range corresponds to the medium-voltage line, the transformers within the line fault range are divided according to the automatic sectionalizing switch to generate multiple transformer arrays; Obtain the first current and voltage data of the load control terminals corresponding to each transformer during the preset first fault outage time period; Determine whether the voltage data of the load control terminal corresponding to each transformer in the transformer array has reached the abnormal voltage threshold. If so, a line graph is generated using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period. Determine whether each of the transformers has malfunctioned based on the line graph; If so, it is determined that the transformer has failed, and the corresponding first fault location information is generated and output. If not, then the transformer is determined to be fault-free, and the transformer whose remaining voltage data in the transformer array reaches the abnormal voltage threshold is taken as the new transformer. Then, the process jumps to the step of generating a line graph using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period.

2. The fault power outage judgment method according to claim 1, characterized in that, The method further includes: The voltage data of the electricity meter is collected according to a preset number of times; Based on the voltage threshold range in which the voltage value corresponding to the voltage data falls, a corresponding fault model is generated.

3. The fault power outage judgment method according to claim 1, characterized in that, The step of using a backtracking algorithm to traverse all fault users in the fault user list and generate the line fault range corresponding to different transformer substations includes: Create a list of transformer substations; Iterate through all faulty users in the faulty user list and store the transformer substation where each faulty user is located in the transformer substation list; wherein, each transformer substation has at least one faulty user. Traverse all user nodes under the transformer substation and determine whether all user nodes are faulty user nodes; If all the user nodes are faulty user nodes, then obtain all user nodes under the adjacent transformer substation, traverse all user nodes under the adjacent transformer substation and determine whether there are any faulty users. If so, it is determined that a line fault has occurred in the adjacent transformer substation area, and a corresponding first line fault range is generated; If not, then it is determined that a line fault has occurred in the transformer substation area, and a corresponding second line fault range is generated; If some of the user nodes are faulty user nodes, then it is determined that there is a fault in the line between the transformer substation and the faulty user node, and a corresponding third line fault range is generated.

4. The fault power outage judgment method according to claim 1, characterized in that, The method further includes: Select the second current data of the load control terminal corresponding to each transformer within the preset second fault outage time period; Calculate the current and value of the second current data of all the load control terminals corresponding to all the transformers in each transformer array, and generate the line simulated current value; Obtain the third current data corresponding to the automated sectionalizing switch of each transformer array, and calculate the current difference between the third current data corresponding to two adjacent automated sectionalizing switches to generate the actual line current value. Calculate the difference between the simulated current value and the actual current value of the line; Determine whether the difference in current values ​​reaches the current fault threshold; If so, then it is determined that there is a fault point in the medium-voltage line range corresponding to the transformer array, and third fault location information is generated and output; If not, it is determined that there is no fault point in the medium-voltage line range corresponding to the transformer array, and the fourth fault location information is generated and output.

5. The fault power outage judgment method according to claim 1, characterized in that, The system involves a high-frequency pulse signal generator, a smart meter, an air switch, and a concentrator. The load control terminal is connected to the high-frequency pulse signal generator and the smart meter, respectively. The smart meter is connected to the air switch and the concentrator, respectively. The step of determining the faulty line within the fault range according to the high-frequency pulse signal judgment type corresponding to the low-voltage line when the line fault range corresponds to the low-voltage line, and generating corresponding second fault location information based on the judgment result, includes: When the line corresponding to the fault range is the low-voltage line, the high-frequency pulse signal generated by the high-frequency pulse signal generator corresponding to the transformer area is input to the air switch; The high-frequency pulse information fed back by the air switch is input into the smart meter to generate response information; Determine whether the concentrator corresponding to the transformer area has received the response information output by the smart meter; If so, it is determined that there is no fault in the line between the transformer substation and the smart meter, and that there is a fault in the line behind the smart meter, and the corresponding fifth fault location information is generated. If not, it is determined that there is a fault in the line between the transformer substation and the smart meter, and the corresponding sixth fault location information is generated.

6. The fault power outage judgment method according to claim 1, characterized in that, Involves databases; The step of associating the fault location information with the fault user information in the fault user list to generate fault management list data includes: Obtain the user information, user number, node number, and distribution network configuration information corresponding to the faulty user in the faulty user list from the database; The fault location information and the distribution network configuration information of the faulty user are used to generate a fault management list data.

7. The fault power outage judgment method according to claim 6, characterized in that, This involves a GIS system; the steps of dividing the fault management list data according to different jurisdictions, generating corresponding work orders, and outputting them include: The fault management list data is divided according to different jurisdictions to generate power outage fault work orders; The user number, node number, and location information of the power outage fault work order are associated with the transformer topology map in the GIS system to generate a corresponding fault line display map. The faulty circuit diagram is converted into an emergency repair work order, and corresponding emergency repair vehicle application form and emergency repair tool requisition work order are generated and output.

8. A fault power outage detection system, characterized in that, include: The fault model module is used to periodically collect user electricity consumption data and input preset fault models; The fault user list module is used to match faulty electricity data in all the user electricity data through the fault model and generate a corresponding fault user list. The line fault range module is used to traverse all fault users in the fault user list using a backtracking algorithm to generate the line fault range corresponding to different transformer substations. The fault location information module is used to determine the faulty line within the fault range of the line according to the fault judgment type corresponding to the preset voltage level line, and generate corresponding fault location information based on the judgment result. The fault management list data module is used to associate the fault location information with the fault user information in the fault user list to generate fault management list data. The work order module is used to divide the fault management list data according to different jurisdictions, generate corresponding work orders, and output them. The preset voltage level circuit includes medium voltage circuits and low voltage circuits; The fault location information module includes: The voltage level submodule is used to determine the voltage level of the line corresponding to the fault range of the line; The first fault location information submodule is used to determine the faulty line within the fault range of the line according to the medium-voltage fault auxiliary judgment type corresponding to the medium-voltage line when the line corresponding to the line fault range is the medium-voltage line, and generate the corresponding first fault location information based on the judgment result. The second fault location information submodule is used to determine the faulty line within the fault range of the line according to the high-frequency pulse signal judgment type corresponding to the low-voltage line when the line corresponding to the line fault range is the low-voltage line, and generate the corresponding second fault location information based on the judgment result. The first fault location information submodule includes: The transformer array submodule is used to divide the transformers within the fault range of the line according to the automatic sectionalizing switch when the line corresponding to the line fault range is the medium voltage line, and generate multiple transformer arrays. The first voltage data submodule is used to acquire the first current data and voltage data of the load control terminal corresponding to each transformer during the preset first fault outage time period. An abnormal voltage threshold submodule is used to determine whether the voltage data of the load control terminal corresponding to each transformer in the transformer array reaches the abnormal voltage threshold. The line graph submodule is used to generate a line graph by using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period if the condition is met. The transformer fault determination submodule is used to determine whether each transformer has failed based on the line graph. The transformer fault determination submodule is used to determine that the transformer has failed if the condition is met, generate the corresponding first fault location information and output it. The transformer fault-free submodule is used to determine that the transformer is fault-free if the condition is not met, and to take the transformer whose remaining voltage data in the transformer array reaches the abnormal voltage threshold as the new transformer, and then jump to the step of generating a line graph using the first current data of the load control terminal corresponding to the transformer and the time corresponding to the first fault outage period.

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