Power distribution network fault on-site self-healing method and system

Abstract

The invention relates to the technical field of power distribution network self-healing, and discloses a power distribution network fault on-site self-healing method and system, and the method comprises the steps: obtaining first target data of a target power distribution network line, obtaining a first fault parameter according to the first target data, and positioning a fault section according to the first fault parameter and the time when the first target data is obtained; and presetting a first self-healing strategy, and performing on-site fault self-healing of the target power distribution network according to the positioning result and the first self-healing strategy. According to the method, the time difference of the fault current wave head between the two intelligent detection terminals with opposite fault judging directions is calculated, so that accurate positioning of the fault section is realized, quick power supply recovery is facilitated, and the operation efficiency and reliability of a power grid are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network self-healing, and in particular to a method and system for on-site self-healing of distribution network faults. Background Art

[0002] With the continuous development of distribution network construction, the scale of the power grid has expanded rapidly, and the degree of intelligent and automated power distribution has continued to improve. The self-healing technology of the distribution network enables the distribution system to promptly detect the occurrence or ongoing system failures and take appropriate corrective actions to ensure that the normal power supply to users is not affected or the impact is minimized.

[0003] The premise for the successful self-healing of the distribution network is to accurately locate the fault section. However, the existing distribution network self-healing systems generally have the problem of inaccurate positioning or too large a positioning area. For example, the prior art CN114465236A discloses a self-healing method and distribution network for a distribution network to deal with grounding faults. It locates the fault by whether the fault current is detected between adjacent circuit breaker control devices on the power supply line. If one of the two adjacent circuit breaker control devices detects the fault current and the other circuit breaker control device does not detect the fault current, it is judged that the fault point is downstream of the position corresponding to the circuit breaker control device that detected the fault current. However, the positioning accuracy of this method is low, which can easily lead to forced power outages in fault-free areas; and it is unable to distinguish the fault type and fault direction, resulting in a lack of sufficient information support in the subsequent self-healing stage. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a method and system for on-site self-healing of distribution network faults, which can solve the problems of low positioning accuracy and insufficient information in the self-healing stage in the prior art.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, the present invention provides a method for on-site self-healing of a distribution network fault, comprising:

[0008] Acquire first target data of a target distribution network line, and acquire a first fault parameter according to the first target data;

[0009] The first target data is obtained through a number of intelligent detection terminals arranged on power supply lines of the distribution network;

[0010] The first target data includes current data and voltage data of the target distribution network line and the time when the first target data is obtained;

[0011] Locating the fault section according to the first fault parameter and the time when the first target data is acquired;

[0012] Preset a first self-healing strategy, and perform on-site self-healing of the target distribution network fault based on the positioning result and the first self-healing strategy;

[0013] The first self-healing strategy includes:

[0014] Controlling the tripping of the circuit breakers at both ends of the fault section and locking the downstream reclosing device;

[0015] Update the distribution network connection relationship in real time according to the blocking result;

[0016] A restoration path is determined based on the network connection relationship, and the tie switch is closed according to the restoration path.

[0017] As a preferred solution of the method for on-site self-recovery of distribution network faults according to the present invention, the obtaining of the first fault parameter according to the first target data includes:

[0018] The first fault parameter includes a fault type and a fault direction, and the fault type includes a short circuit fault and a ground fault;

[0019] A first threshold and a second threshold are preset, wherein the first threshold is used to determine the fault type, and the second threshold is used to determine the fault direction;

[0020] The target current for the first threshold comparison is the real-time line current;

[0021] The target current for performing the second threshold comparison is the zero-sequence current.

[0022] As a preferred solution of the method for on-site self-healing of distribution network faults according to the present invention, locating the fault section according to the first fault parameter and the time when the first target data is obtained includes:

[0023] When the fault type is a short circuit fault:

[0024] Identify a first intelligent detection terminal that determines that a fault direction is forward and a second intelligent detection terminal that determines that a fault direction is reverse;

[0025] Respectively obtaining the time when the first intelligent detection terminal and the second intelligent detection terminal detect the short-circuit fault current wave head, and calculating a first time difference;

[0026] If the absolute value of the first time difference is smaller than a preset third threshold, it is determined that the faulty section is the section between the first intelligent detection terminal and the second intelligent detection terminal.

[0027] As a preferred solution of the method for on-site self-healing of distribution network faults according to the present invention, locating the fault section according to the first fault parameter and the time when the first target data is obtained further comprises:

[0028] When the fault type is a ground fault:

[0029] Identify a third intelligent detection terminal that determines that the fault direction is upstream and a fourth intelligent detection terminal that determines that the fault direction is downstream;

[0030] respectively obtaining the moments when the third intelligent detection terminal and the fourth intelligent detection terminal detect the zero-sequence current wave front, and calculating a second time difference;

[0031] If the absolute value of the second time difference is smaller than a preset fourth threshold, it is determined that the faulty section is the section between the third intelligent detection terminal and the fourth intelligent detection terminal.

[0032] As a preferred solution of the method for on-site self-recovery of distribution network faults according to the present invention, wherein: obtaining the first fault parameter according to the first target data further includes:

[0033] comparing the line current with a first threshold in real time;

[0034] Recording the duration during which the current of any phase on the line exceeds the first threshold value to obtain a cumulative short-circuit duration;

[0035] Comparing the accumulated short-circuit duration with a preset short-circuit duration threshold;

[0036] If the accumulated short-circuit duration exceeds the preset short-circuit duration threshold, the fault type is determined to be a short-circuit fault;

[0037] When the fault type is a short circuit fault, if the phase difference between the fault phase current and the line voltage is between 30° and 150°, the fault direction is determined to be forward;

[0038] If the phase difference between the fault phase current and the line voltage is between -150° and -30°, the fault direction is determined to be reverse.

[0039] As a preferred solution of the method for on-site self-healing of distribution network faults according to the present invention, the obtaining of the first fault parameter according to the first target data further comprises:

[0040] Comparing the zero-sequence current of the line with the second threshold in real time, and comparing the zero-sequence voltage of the line with the preset ground voltage threshold;

[0041] Recording the duration during which the zero-sequence current exceeds the second threshold value to obtain a zero-sequence current timeout duration;

[0042] At the same time, the duration for which the zero-sequence voltage exceeds the second threshold is recorded to obtain a zero-sequence voltage timeout duration;

[0043] The zero-sequence current timeout duration is compared with a zero-sequence current timeout threshold, and the zero-sequence voltage timeout duration is compared with a zero-sequence voltage timeout threshold.

[0044] As a preferred solution of the method for on-site self-recovery of distribution network faults according to the present invention, wherein: obtaining the first fault parameter according to the first target data further includes:

[0045] If the zero-sequence current timeout duration exceeds the zero-sequence current timeout threshold, and the zero-sequence voltage timeout duration exceeds the zero-sequence voltage timeout threshold, then the fault type is determined to be a ground fault;

[0046] When the fault type is a ground fault, if the phase difference between the line zero-sequence voltage and the line zero-sequence current is 180°±5°, the fault direction is determined to be downstream;

[0047] If the phase difference between the line zero-sequence voltage and the line zero-sequence current is 0°±5°, the fault direction is determined to be upstream.

[0048] In a second aspect, the present invention provides a method and system for on-site self-healing of distribution network faults, comprising:

[0049] a data acquisition module, configured to acquire first target data of a target distribution network line, and acquire a first fault parameter according to the first target data;

[0050] The first target data is obtained through a number of intelligent detection terminals arranged on power supply lines of the distribution network;

[0051] The first target data includes current data and voltage data of the target distribution network line and the time when the first target data is obtained;

[0052] a positioning module, configured to locate a fault section according to the first fault parameter and the time when the first target data is acquired;

[0053] A strategy module, configured to preset a first self-healing strategy and perform on-site self-healing of a target distribution network fault based on the positioning result and the first self-healing strategy;

[0054] The first self-healing strategy includes:

[0055] Controlling the tripping of the circuit breakers at both ends of the fault section and locking the downstream reclosing device;

[0056] Update the distribution network connection relationship in real time according to the blocking result;

[0057] A restoration path is determined based on the network connection relationship, and the tie switch is closed according to the restoration path.

[0058] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-described method when executing the computer program.

[0059] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of the method described above when the computer program is executed by a processor.

[0060] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention proposes a method and system for on-site self-healing of distribution network faults, obtains first target data of the target distribution network line, and obtains first fault parameters based on the first target data, locates the fault section based on the first fault parameters and the time when the first target data is obtained; presets a first self-healing strategy, and performs on-site self-healing of the target distribution network fault based on the positioning result combined with the first self-healing strategy. The present invention achieves accurate positioning of the fault section by calculating the time difference between the fault current wave head between two intelligent detection terminals that determine the fault direction in opposite directions, which helps to quickly restore power supply and improve the operating efficiency and reliability of the power grid. When the fault location fails, the present application uses drone inspections to identify the modified section, combines the electronic tags of the tower poles to correct the line, and realizes the calibration of the distribution network topology parameters, achieving the technical effect of improving the positioning accuracy of the fault section and the adaptability of the system, and effectively solving the positioning deviation problem caused by line modification. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0062] Figure 1 A flow chart of a method for on-site self-healing of distribution network faults provided by one embodiment of the present invention.

[0063] Figure 2 An internal structural diagram of a computer device for an on-site self-healing method for distribution network faults provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0064] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0065] Example 1, with reference to Figure 1-Figure 2 , which is the first embodiment of the present invention, provides a method for local self-healing of distribution network faults, comprising:

[0066] Existing technologies face several challenges, including inaccurate fault location, misoperation caused by overly large location areas, and inflexible self-healing strategies. These issues not only impact the normal operation of the distribution network but can also extend power outages, disrupting users' normal electricity use.

[0067] This application provides a method that can effectively solve the above-mentioned problems. Next, we will explain in detail how to implement the method for local self-healing of distribution network faults in combination with multiple embodiments.

[0068] Figure 1 A method flow chart of a method for on-site self-healing of a distribution network fault is shown, including:

[0069] S101, obtaining first target data of a target distribution network line, and obtaining a first fault parameter according to the first target data;

[0070] In an embodiment of the present application, the first target data is acquired through a number of intelligent detection terminals arranged on power supply lines of the distribution network.

[0071] In an optional embodiment, the number of intelligent detection terminals installed is appropriately determined based on the size of the distribution network, the complexity of the lines, and the requirements for fault detection. The intelligent detection terminals are evenly distributed along the power lines to ensure comprehensive and accurate acquisition of current and voltage data, including the timestamp of data acquisition, for the target distribution network lines.

[0072] In an optional embodiment, for example, at key nodes of the target distribution network, such as branch line entrances, large load access points, etc., the deployment density of intelligent detection terminals can be increased to further improve the accuracy and efficiency of fault detection.

[0073] These intelligent detection terminals have high-precision data collection and processing capabilities, can monitor key parameters such as current and voltage on the line in real time, and upload the data to the central control system for analysis and processing in real time.

[0074] In the embodiments of this application, the intelligent detection terminal used integrates modules such as current / voltage detection, fault direction determination, communication, logic control, and precise timing. It is deployed at various line nodes of the distribution network (such as ring main units and pole-mounted switches). Data exchange between different terminals is achieved through optical fiber or wireless ad hoc networks. The intelligent detection terminals available for this embodiment include DTU terminals or FTU terminals.

[0075] In an embodiment of the present application, the first target data includes current data and voltage data of the target distribution network line and the time when the first target data is acquired.

[0076] In the embodiment of the present application, obtaining the first fault parameter according to the first target data includes:

[0077] The first fault parameter includes a fault type and a fault direction, where the fault type includes a short circuit fault and a ground fault;

[0078] A first threshold and a second threshold are preset, the first threshold is used to determine the fault type, and the second threshold is used to determine the fault direction;

[0079] The target current for the first threshold comparison is the real-time line current;

[0080] The target current for performing the second threshold comparison is the zero-sequence current.

[0081] In the embodiment of the present application, obtaining the first fault parameter according to the first target data further includes:

[0082] comparing the line current with a first threshold in real time;

[0083] Recording the duration during which the current of any phase on the line exceeds the first threshold value to obtain the cumulative short-circuit duration;

[0084] Comparing the accumulated short-circuit duration with a preset short-circuit duration threshold;

[0085] If the accumulated short-circuit duration exceeds the preset short-circuit duration threshold, the fault type is determined to be a short-circuit fault;

[0086] When the fault type is a short circuit fault, if the phase difference between the fault phase current and the line voltage is between 30° and 150°, the fault direction is determined to be forward;

[0087] If the phase difference between the fault phase current and the line voltage is between -150° and -30°, the fault direction is determined to be reverse.

[0088] In an optional embodiment, when the fault type is a short circuit fault, the phase relationship between the fault phase current and the line voltage can reflect the direction of the fault. If the fault phase current leads the line voltage by a certain angle (e.g., 30° to 150°), it indicates that the fault current is flowing from the power source to the fault point, that is, the fault direction is forward; conversely, if the fault phase current lags the line voltage by a certain angle (e.g., -150° to -30°), it indicates that the fault current is flowing from the fault point to the power source, that is, the fault direction is reverse. In this way, the direction of the fault can be accurately determined, providing an important basis for the subsequent location of the fault section and the formulation of self-healing strategies.

[0089] It should be noted that in actual power systems, the phase relationship between the fault phase current and the line voltage is affected by many factors, including fault type, fault location, system impedance, etc.

[0090] After a large number of experiments and data analysis, this application found that when the fault type is a short-circuit fault, the phase difference between the fault phase current and the line voltage is usually in the range of 30° to 150° (forward fault), or in the range of -150° to -30° (reverse fault). This range can better cover most short-circuit fault situations, while excluding interference factors under some special or extreme conditions. Therefore, selecting this range as the basis for judging the fault direction can improve the accuracy and reliability of fault location. Of course, in actual applications, this range may be appropriately adjusted according to the specific power system characteristics and needs.

[0091] In the embodiment of the present application, obtaining the first fault parameter according to the first target data further includes:

[0092] Comparing the zero-sequence current of the line with the second threshold in real time, and comparing the zero-sequence voltage of the line with the preset ground voltage threshold;

[0093] Recording the duration that the zero-sequence current exceeds the second threshold value to obtain the zero-sequence current timeout duration;

[0094] At the same time, the duration of time when the zero-sequence voltage exceeds the second threshold is recorded to obtain the zero-sequence voltage timeout duration;

[0095] The zero-sequence current timeout duration is compared with the zero-sequence current timeout threshold, and the zero-sequence voltage timeout duration is compared with the zero-sequence voltage timeout threshold.

[0096] In the embodiment of the present application, obtaining the first fault parameter according to the first target data further includes:

[0097] If the zero-sequence current timeout duration exceeds the zero-sequence current timeout threshold, and the zero-sequence voltage timeout duration exceeds the zero-sequence voltage timeout threshold, the fault type is determined to be a ground fault;

[0098] When the fault type is a ground fault, if the phase difference between the line zero-sequence voltage and the line zero-sequence current is 180°±5°, the fault direction is determined to be downstream;

[0099] If the phase difference between the line zero-sequence voltage and the line zero-sequence current is 0°±5°, the fault direction is determined to be upstream.

[0100] It should be noted that these two phase difference ranges can effectively reflect the phase relationship between the zero-sequence voltage and zero-sequence current during a ground fault. If the phase difference between the line zero-sequence voltage and the line zero-sequence current is close to 180°, it indicates that the fault current is flowing from the fault point to the line, that is, the fault direction is downstream; conversely, if the phase difference is close to 0°, it indicates that the fault current is flowing from the line to the fault point, that is, the fault direction is upstream. This judgment method is also based on extensive experiments and data analysis, and aims to improve the accuracy and reliability of fault location. In actual applications, these phase difference ranges may be appropriately adjusted based on the specific characteristics and requirements of the power system to meet the fault detection needs in different scenarios.

[0101] It should be noted that in actual power systems, ground faults are often accompanied by abnormal changes in zero-sequence current and voltage. By monitoring these parameters in real time and setting appropriate thresholds for comparison, ground faults can be effectively identified. Furthermore, the phase relationship between zero-sequence voltage and current can be used to further determine the fault direction, providing critical information for subsequent troubleshooting.

[0102] In addition, the present invention also considers the problem of fault location accuracy. In a distribution network, due to the complexity of the lines and the large number of branches, fault location often faces great challenges.

[0103] The present invention achieves precise location of the fault section by calculating the time difference between the fault current wave fronts at two intelligent detection terminals that determine the fault direction in opposite directions. This positioning method not only improves positioning accuracy but also facilitates rapid power restoration, reducing the duration and scope of power outages, thereby improving the operational efficiency and reliability of the power grid.

[0104] In an optional embodiment, the preset thresholds such as the first threshold and the second threshold can be set according to actual conditions, which is not limited in this application. They can be set according to the following steps:

[0105] First, the zero-sequence current and zero-sequence voltage data during normal operation of the distribution network are collected, statistically analyzed, and a reasonable threshold range is determined.

[0106] Secondly, considering factors such as the structure of the distribution network, load conditions, and line materials, the initially set thresholds are adjusted to ensure their accuracy and applicability.

[0107] Finally, actual operational testing verifies the rationality of the threshold settings and, if necessary, fine-tunes them. Setting thresholds in this scientific way ensures the accuracy and reliability of the distribution network fault in-situ self-healing method system.

[0108] It should be noted that obtaining the first target data of the target distribution network line and obtaining the first fault parameter based on the first target data can provide a key basis for the precise positioning of the subsequent fault section and the formulation of the self-healing strategy. By obtaining the current, voltage and time data of the target distribution network line in real time, the system can quickly respond to fault events and start the fault analysis process. On this basis, the system can accurately determine the fault type (such as short circuit or ground fault) and fault direction (upstream or downstream), which is crucial for quickly isolating the fault section and restoring normal power supply to non-fault areas. In addition, the accurate acquisition of the first fault parameter also helps to optimize the selection of the self-healing strategy, ensure the rationality and effectiveness of the self-healing action, and further improve the operating efficiency and power supply reliability of the distribution network.

[0109] S102, locating the fault section according to the first fault parameter and the time when the first target data is acquired;

[0110] In an optional embodiment, the fault section can be located using a time difference method. Specifically, the time points at which the fault current wave head reaches two intelligent detection terminals that determine the fault direction in opposite directions are first determined, and then the time difference between these two time points is calculated. Since the propagation speed of the fault current wave head in the distribution network is known, the approximate location of the fault section can be calculated based on the time difference and the wave head propagation speed. This method can achieve rapid and accurate positioning of the fault section, providing strong support for subsequent self-healing operations.

[0111] In an optional embodiment, the fault section can also be located using a pattern matching method. Specifically, a model library of fault current wave propagation paths is established based on the preset distribution network topology and the geographic location information of each intelligent detection terminal. When a fault occurs, the acquired first fault parameter and the time of the first target data are matched with the fault patterns in the model library to find the propagation path that best matches the current fault characteristics, thereby determining the fault section. This method fully utilizes known distribution network information and fault data, improving the accuracy and efficiency of fault location.

[0112] In the embodiment of the present application, locating the fault section according to the first fault parameter and the time when the first target data is acquired includes:

[0113] When the fault type is a short circuit fault:

[0114] Identify a first intelligent detection terminal that determines that a fault direction is forward and a second intelligent detection terminal that determines that a fault direction is reverse;

[0115] Respectively obtaining the moments when the first intelligent detection terminal and the second intelligent detection terminal detect the short-circuit fault current wave head, and calculating a first time difference;

[0116] If the absolute value of the first time difference is less than a preset third threshold, it is determined that the faulty section is the section between the first intelligent detection terminal and the second intelligent detection terminal.

[0117] In the embodiment of the present application, locating the fault section according to the first fault parameter and the time when the first target data is acquired further includes:

[0118] When the fault type is a ground fault:

[0119] Identify a third intelligent detection terminal that determines that the fault direction is upstream and a fourth intelligent detection terminal that determines that the fault direction is downstream;

[0120] respectively obtaining the moments when the third intelligent detection terminal and the fourth intelligent detection terminal detect the zero-sequence current wave head, and calculating a second time difference;

[0121] If the absolute value of the second time difference is less than a preset fourth threshold, it is determined that the faulty section is the section between the third intelligent detection terminal and the fourth intelligent detection terminal.

[0122] In an optional embodiment, the calculation formula of the first time difference is:

[0123]

[0124] Among them, Δt1 is the first time difference, t A and t B are the moments when the first intelligent detection terminal and the second intelligent detection terminal detect the short-circuit fault current wave head, d AB is the line length between the first intelligent detection terminal and the second intelligent detection terminal, v 波速 It is the propagation speed of the short-circuit fault current wave in the power supply line.

[0125] In an optional embodiment, the calculation formula of the second time difference is:

[0126]

[0127] Wherein, Δt2 is the second time difference, t C and t D are the moments when the third and fourth intelligent detection terminals detect the zero-sequence current wave head, d CD is the line length between the third intelligent detection terminal and the fourth intelligent detection terminal, v 零序波速 It is the propagation speed of the zero-sequence current wave in the power supply line.

[0128] In the embodiment of the present application, the values of the preset third threshold value and the preset fourth threshold value should be close to 0, and those skilled in the art can set them according to actual conditions. The line length between the first intelligent detection terminal and the second intelligent detection terminal, and the line length between the third intelligent detection terminal and the fourth intelligent detection terminal can be obtained by design data pre-stored in the system; in this embodiment, v 波速 Take 0.98c, v 零序波速 Take 0.95c.

[0129] In the embodiment of the present application, the first intelligent detection terminal is the intelligent detection terminal that first detects the short-circuit fault current wave head and determines that the fault direction is forward, and the second intelligent detection terminal is the intelligent detection terminal that first detects the short-circuit fault current wave head and determines that the fault direction is reverse;

[0130] In an embodiment of the present application, the third intelligent detection terminal is the intelligent detection terminal that detects the zero-sequence current wave head first and determines that the fault direction is upstream, and the fourth intelligent detection terminal is the intelligent detection terminal that detects the zero-sequence current wave head first and determines that the fault direction is downstream.

[0131] It should be noted that if the absolute value of the first time difference is greater than the preset third threshold, the short-circuit fault section location fails.

[0132] It should also be noted that locating the faulty section based on the first fault parameter and the time the first target data was acquired ensures that the subsequent formulation and implementation of self-healing strategies are highly targeted and accurate. By accurately identifying the faulty section, the system can quickly initiate corresponding self-healing operations, such as isolating the faulty section and restoring normal power supply to non-faulty areas, thereby minimizing the fault's impact on grid operations. Furthermore, precisely locating the faulty section helps operations and maintenance personnel quickly locate and repair the fault, improving the efficiency and quality of fault handling. Therefore, locating the faulty section is a crucial step in the on-site self-healing method for distribution network faults, directly impacting the self-healing effect and the reliability of grid operations.

[0133] S103, presetting a first self-healing strategy, and performing on-site self-healing of the target distribution network fault according to the positioning result and the first self-healing strategy;

[0134] The first self-healing strategy includes:

[0135] Control the tripping of the circuit breakers at both ends of the fault section and lock the downstream reclosing device;

[0136] Update the distribution network connection relationship in real time according to the blocking results;

[0137] A restoration path is determined based on the network connection relationship, and the tie switch is closed according to the restoration path.

[0138] In an optional embodiment, once the faulty section is successfully located, the system automatically initiates fault resolution according to a pre-set first self-healing strategy. First, the system rapidly trips the circuit breakers at both ends of the faulty section to isolate the faulty area and prevent the fault from spreading. Simultaneously, the system locks the downstream reclosing device to prevent malfunction and recurrence of the fault if the fault is not fully cleared. This series of actions can be completed in a remarkably short time, effectively reducing the scope and duration of the fault's impact on the power grid.

[0139] In an optional embodiment, after the faulty section is isolated, the system updates the distribution network's network connectivity in real time to ensure the accuracy of subsequent self-healing operations. This step is crucial because distribution networks are complex and network connectivity may change after a fault occurs. Real-time updates allow the system to accurately understand the current state of the grid, providing a reliable basis for formulating self-healing strategies.

[0140] In an optional embodiment, based on the updated network connectivity, the system determines a restoration path and closes the tie switches along that path to restore power to non-faulty areas. This step requires comprehensive consideration of multiple factors, such as load balancing and network topology, to ensure stable and reliable grid operation after the self-healing operation. The system also monitors parameters such as current and voltage along the restoration path in real time to ensure the successful implementation of the self-healing operation.

[0141] In an embodiment of the present application, updating the network connection relationship of the distribution network in real time, determining the recovery path based on the network connection relationship, and closing the connecting switch are existing distribution network self-healing technologies in the field, but obtaining the early positioning results is not existing, but a step designed by this application.

[0142] In summary, the present invention proposes a method for on-site self-healing of distribution network faults, which obtains first target data of a target distribution network line, obtains a first fault parameter based on the first target data, and locates the fault section based on the first fault parameter and the time when the first target data is obtained; a first self-healing strategy is preset, and the target distribution network fault is self-healed on-site based on the positioning result and the first self-healing strategy. The present invention achieves accurate positioning of the fault section by calculating the time difference between the fault current wave head between two intelligent detection terminals that determine the fault direction in opposite directions, which helps to quickly restore power supply and improve the operating efficiency and reliability of the power grid. When the fault location fails, the present application uses drone inspections to identify the modified section, and combines the electronic tags of the tower poles to correct the line to achieve the calibration of the distribution network topology parameters, thereby achieving the technical effect of improving the positioning accuracy of the fault section and the adaptability of the system, and effectively solving the positioning deviation problem caused by line modification.

[0143] Example 2. In a preferred embodiment, when the short-circuit fault section fails to be located, the power supply line is inspected based on a drone, and the line length data between the first intelligent detection terminal and the second intelligent detection terminal is corrected based on the inspection results, and the corrected results are transmitted back to the fault location unit.

[0144] The method of inspecting the power supply line based on the drone and correcting the line length data between the first intelligent detection terminal and the second intelligent detection terminal based on the inspection result includes:

[0145] The drone flies above the power supply line and identifies the first intelligent detection terminal and the second intelligent detection terminal;

[0146] The UAV takes the first intelligent detection terminal or the second intelligent detection terminal as the starting point, flies at a constant speed along the route, and continuously collects the actual three-dimensional coordinates of several reference points on the route at preset time intervals;

[0147] Locate the corresponding reference point on the original design drawing based on the flight speed and the preset time interval, and obtain its theoretical three-dimensional coordinates;

[0148] Compare the actual three-dimensional coordinates with the theoretical three-dimensional coordinates and calculate the coordinate deviation;

[0149] If the coordinate deviations of a continuous number of preset reference points all exceed a preset deviation threshold, the line sections corresponding to the continuous number of preset reference points are marked as reconstruction sections;

[0150] The drone identifies and flies to the towers within the reconstruction section, scanning the signage on the towers to obtain line reconstruction data;

[0151] Based on the line reconstruction data and the original design drawings, the actual length of the line between the first intelligent detection terminal and the second intelligent detection terminal is corrected.

[0152] Among them, for the identification of the first intelligent detection terminal and the second intelligent detection terminal, the following method can be used: the high-definition camera carried by the drone collects the RFID tag configured by the intelligent inspection terminal, and uses the reader to read the RFID tag information, and finally compares the information with the pre-stored information of the intelligent detection terminal.

[0153] The drone can be controlled to fly along the distribution network line through manual control, or a deep learning model can be built to identify the distribution network line. After the drone identifies the line, it refers to the tracking flight algorithm in the existing technology.

[0154] The three-dimensional coordinates of the reference point can be obtained using the laser radar (LiDAR) and GPS carried by the drone. Specifically, the drone emits a laser pulse to the reference point. The distance between the drone and the reference point can be calculated by the time the laser pulse travels back and forth. Combined with the drone's GPS position information and its flight attitude data, such as pitch angle, yaw angle, roll angle, etc., the three-dimensional coordinates of the reference point can be obtained through geometric calculations.

[0155] The calculation of coordinate deviation can refer to the Euclidean distance formula, such as:

[0156]

[0157] Where Δx, Δy, and Δz are the differences between the actual 3D coordinates and the theoretical 3D coordinates in the x-, y-, and z-axis directions, respectively. Those skilled in the art can determine the preset number and preset deviation threshold based on actual circumstances. Drone tower recognition can be achieved using existing image recognition technology.

[0158] Manual correction is preferred for correcting the actual length of the line between the first and second intelligent detection terminals based on the line modification data and the original design drawings. For example, in the original design drawings, the line between the first and second intelligent detection terminals is a straight line. Scanning the sign reveals that the line has been modified at a certain point, with a rectangular line connected to the original line, resulting in an increase in line length. The new line length is then manually calculated based on the specific circumstances.

[0159] If there is no sign on the tower or the sign cannot be scanned:

[0160] The drone identifies the model of the tower in the renovation section and obtains the standard span of the tower based on the tower model;

[0161] Drones were used to measure the actual span and line sag between adjacent towers in the reconstruction section;

[0162] Calculate the corrected spacing between adjacent towers based on the standard spacing and measured spacing;

[0163] Calculate the corrected length of the line based on the corrected span and line sag.

[0164] If the drone fails to scan the sign three times in a row, it is considered unscannable. The tower model can be identified using common image recognition technology. The measured line spacing between adjacent towers is determined using laser ranging. Sag can be measured using the following methods: First, image recognition technology is used to identify the two endpoints and the lowest point of the line. LiDAR and GPS are used to obtain the three-dimensional coordinates of these three points. The vertical distance from the lowest point to the line connecting the two endpoints is then calculated. This distance is considered the line sag.

[0165] A weighted algorithm is used to calculate the corrected span, assigning a greater weight to the measured span to ensure that the actual on-site conditions prevail. The standard span is used to mitigate occasional measurement errors and is accordingly given a smaller weight. For example, if the standard span of a certain type of tower is 320m and the measured span is 315m, 70% of the weight is assigned to the measured span and 30% to the standard span, resulting in a corrected span of 316.5m.

[0166] Then, calculate the corrected length using the following formula:

[0167]

[0168] Where L is the corrected length, L0 is the corrected span, and f is the line sag.

[0169] If there are multiple towers within the renovation section, the same method is used to calculate the corrected lengths between all adjacent towers within the renovation section, and then the sum of the lengths is used to obtain the line length data within the renovation section. This is then combined with the original design drawings to obtain the actual length of the line.

[0170] The system further includes: an environmental sensing unit, which is used to monitor the environmental parameters of the power supply line in real time and feed the environmental parameters back to the fault detection unit;

[0171] The fault detection unit is further configured to adjust a preset short-circuit current threshold, a preset ground current threshold, and / or a preset ground voltage threshold based on environmental parameters.

[0172] For example, when the environmental perception unit detects increased lightning activity within a certain period of time, it may cause an abnormal increase in current in the line. The fault detection unit can appropriately increase the preset short-circuit current threshold to avoid the intelligent detection terminal from misjudging the fault.

[0173] In summary, the in-situ self-healing method for distribution network faults provided by the present invention can not only quickly locate the faulty section when a fault occurs, but also correct line data through means such as drone inspections when positioning fails, thereby improving the adaptability of the system and the accuracy of fault location. In addition, the fault detection threshold can be dynamically adjusted based on real-time monitored environmental parameters, further enhancing the stability and reliability of the system. These innovative designs give the present invention significant technical advantages and practical application value in the field of distribution network fault handling, and are expected to provide strong guarantees for the safe and stable operation of power systems.

[0174] Example 3: This embodiment also provides a method and system for on-site self-healing of distribution network faults, including:

[0175] A data acquisition module is used to acquire first target data of a target distribution network line, and acquire a first fault parameter according to the first target data;

[0176] The first target data is obtained through a number of intelligent detection terminals arranged on the power supply lines of the distribution network;

[0177] The first target data includes current data and voltage data of the target distribution network line and the time when the first target data is obtained;

[0178] a positioning module, configured to locate a fault section according to the first fault parameter and the time when the first target data is acquired;

[0179] A strategy module, configured to preset a first self-healing strategy and perform on-site self-healing of a target distribution network fault based on the positioning result and the first self-healing strategy;

[0180] The first self-healing strategy includes:

[0181] Control the tripping of the circuit breakers at both ends of the fault section and lock the downstream reclosing device;

[0182] Update the distribution network connection relationship in real time according to the blocking results;

[0183] A restoration path is determined based on the network connection relationship, and the tie switch is closed according to the restoration path.

[0184] The above-mentioned unit modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0185] This embodiment also provides a computer device, which may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 2 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for on-site self-healing of a distribution network fault is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0186] This embodiment further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the following steps are implemented:

[0187] Acquire first target data of a target distribution network line, and acquire a first fault parameter according to the first target data;

[0188] The first target data is obtained through a number of intelligent detection terminals arranged on the power supply lines of the distribution network;

[0189] The first target data includes current data and voltage data of the target distribution network line and the time when the first target data is obtained;

[0190] Locating the fault section according to the first fault parameter and the time when the first target data is acquired;

[0191] A first self-healing strategy is preset, and the target distribution network fault is self-healed on-site according to the positioning result and the first self-healing strategy;

[0192] The first self-healing strategy includes:

[0193] Control the tripping of the circuit breakers at both ends of the fault section and lock the downstream reclosing device;

[0194] Update the distribution network connection relationship in real time according to the blocking results;

[0195] A restoration path is determined based on the network connection relationship, and the tie switch is closed according to the restoration path.

[0196] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

[0197] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code. The scheme in the embodiment of the present application can be implemented in various computer languages.

[0198] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the steps in the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0199] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0200] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0201] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application.

[0202] Obviously, those skilled in the art may make various changes and modifications to this application without departing from the spirit and scope of this application. Thus, if these modifications and variations of this application fall within the scope of the claims of this application and their equivalents, this application is intended to include these modifications and variations.

Claims

1. A method for on-site self-healing of distribution network faults, characterized in that: include: Acquire first target data of a target distribution network line, and acquire a first fault parameter according to the first target data; The first target data is obtained through a number of intelligent detection terminals arranged on power supply lines of the distribution network; The first target data includes current data and voltage data of the target distribution network line and the time when the first target data is obtained; Locating the fault section according to the first fault parameter and the time when the first target data is acquired; Preset a first self-healing strategy, and perform on-site self-healing of the target distribution network fault based on the positioning result and the first self-healing strategy; The first self-healing strategy includes: Controlling the tripping of the circuit breakers at both ends of the fault section and locking the downstream reclosing device; Update the distribution network connection relationship in real time according to the blocking result; A restoration path is determined based on the network connection relationship, and the tie switch is closed according to the restoration path.

2. A method for on-site self-healing of a distribution network fault according to claim 1, characterized in that: Acquiring a first fault parameter according to the first target data includes: The first fault parameter includes a fault type and a fault direction, and the fault type includes a short circuit fault and a ground fault; A first threshold and a second threshold are preset, wherein the first threshold is used to determine the fault type, and the second threshold is used to determine the fault direction; The target current for the first threshold comparison is the real-time line current; The target current for performing the second threshold comparison is the zero-sequence current.

3. A method for on-site self-healing of a distribution network fault according to claim 2, characterized in that: The locating the fault section according to the first fault parameter and the time when the first target data is acquired includes: When the fault type is a short circuit fault: Identify a first intelligent detection terminal that determines that a fault direction is forward and a second intelligent detection terminal that determines that a fault direction is reverse; Respectively obtaining the time when the first intelligent detection terminal and the second intelligent detection terminal detect the short-circuit fault current wave head, and calculating a first time difference; If the absolute value of the first time difference is smaller than a preset third threshold, it is determined that the faulty section is the section between the first intelligent detection terminal and the second intelligent detection terminal.

4. A method for on-site self-healing of a distribution network fault according to claim 3, characterized in that: The locating the fault section according to the first fault parameter and the time when the first target data is acquired further includes: When the fault type is a ground fault: Identify a third intelligent detection terminal that determines that the fault direction is upstream and a fourth intelligent detection terminal that determines that the fault direction is downstream; respectively obtaining the moments when the third intelligent detection terminal and the fourth intelligent detection terminal detect the zero-sequence current wave front, and calculating a second time difference; If the absolute value of the second time difference is smaller than a preset fourth threshold, it is determined that the faulty section is the section between the third intelligent detection terminal and the fourth intelligent detection terminal.

5. A method for on-site self-healing of a distribution network fault according to claim 4, characterized in that: The acquiring the first fault parameter according to the first target data further includes: comparing the line current with a first threshold in real time; Recording the duration during which the current of any phase on the line exceeds the first threshold value to obtain a cumulative short-circuit duration; Comparing the accumulated short-circuit duration with a preset short-circuit duration threshold; If the accumulated short-circuit duration exceeds the preset short-circuit duration threshold, the fault type is determined to be a short-circuit fault; When the fault type is a short circuit fault, if the phase difference between the fault phase current and the line voltage is between 30° and 150°, the fault direction is determined to be forward; If the phase difference between the fault phase current and the line voltage is between -150° and -30°, the fault direction is determined to be reverse.

6. A method for on-site self-healing of a distribution network fault according to claim 5, characterized in that: The acquiring the first fault parameter according to the first target data further includes: Comparing the zero-sequence current of the line with the second threshold in real time, and comparing the zero-sequence voltage of the line with the preset ground voltage threshold; Recording the duration during which the zero-sequence current exceeds the second threshold value to obtain a zero-sequence current timeout duration; At the same time, the duration for which the zero-sequence voltage exceeds the second threshold is recorded to obtain a zero-sequence voltage timeout duration; The zero-sequence current timeout duration is compared with a zero-sequence current timeout threshold, and the zero-sequence voltage timeout duration is compared with a zero-sequence voltage timeout threshold.

7. A method for on-site self-healing of a distribution network fault according to claim 6, characterized in that: The acquiring the first fault parameter according to the first target data further includes: If the zero-sequence current timeout duration exceeds the zero-sequence current timeout threshold, and the zero-sequence voltage timeout duration exceeds the zero-sequence voltage timeout threshold, then the fault type is determined to be a ground fault; When the fault type is a ground fault, if the phase difference between the line zero-sequence voltage and the line zero-sequence current is 180°±5°, the fault direction is determined to be downstream; If the phase difference between the line zero-sequence voltage and the line zero-sequence current is 0°±5°, the fault direction is determined to be upstream.

8. A distribution network fault on-site self-healing method system, applying the method according to any one of claims 1 to 7, characterized in that: include: a data acquisition module, configured to acquire first target data of a target distribution network line, and acquire a first fault parameter according to the first target data; The first target data is obtained through a number of intelligent detection terminals arranged on power supply lines of the distribution network; The first target data includes current data and voltage data of the target distribution network line and the time when the first target data is obtained; a positioning module, configured to locate a fault section according to the first fault parameter and the time when the first target data is acquired; A strategy module, configured to preset a first self-healing strategy and perform on-site self-healing of a target distribution network fault based on the positioning result and the first self-healing strategy; The first self-healing strategy includes: Controlling the tripping of the circuit breakers at both ends of the fault section and locking the downstream reclosing device; Update the distribution network connection relationship in real time according to the blocking result; A restoration path is determined based on the network connection relationship, and the tie switch is closed according to the restoration path.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for on-site self-healing of a distribution network fault according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for on-site self-healing of a distribution network fault according to any one of claims 1 to 7 are implemented.

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