Fault positioning method, device and equipment for transformer area power grid and storage medium

Abstract

The embodiment of the invention discloses a transformer area power grid fault positioning method and device, equipment and a storage medium, and relates to the technical field of power management. The method comprises the following steps: acquiring first electrical data monitored by first monitoring equipment, second electrical data monitored by second monitoring equipment and third electrical data monitored by third monitoring equipment; determining a branch monitoring result of the corresponding branch according to the second electrical data and the third electrical data, and determining a trunk monitoring result according to the first electrical data and the second electrical data when the branch monitoring results of all branches are normal; performing trunk fault positioning according to the trunk monitoring result to obtain a trunk fuzzy fault position; and performing accurate positioning based on the trunk road fuzzy fault position by using the unmanned aerial vehicle to obtain the trunk road fault position. According to the technical scheme provided by the embodiment of the invention, the fault position of the station area power grid can be quickly and accurately positioned, the power supply recovery speed is improved, and the requirement of quickly recovering power supply is met.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of power management technology, and in particular to a method, device, equipment and storage medium for locating a fault in a substation power grid. Background Art

[0002] The substation power grid refers to the power supply range or area of ​​a transformer. When a substation power grid fails, manual inspection is usually used, that is, the operation and maintenance personnel check each section along the line. However, the manual fault location method not only consumes a lot of manpower and time, but also in complex geographical environments (such as mountainous areas and forests) and severe weather conditions (such as heavy rain and heavy snow), it is difficult to locate the fault point in a timely and accurate manner, which leads to a low speed of power supply restoration and cannot meet the demand for rapid power supply restoration. Summary of the invention

[0003] The embodiments of the present application provide a method, device, equipment and storage medium for locating a fault in a substation power grid, which can quickly and accurately locate the fault position of the substation power grid to solve the problem in the prior art that it is difficult to locate the fault point in a timely and accurate manner.

[0004] In a first aspect, an embodiment of the present application provides a method for locating a fault in a substation power grid, wherein the substation power grid includes a trunk and at least one branch, a first monitoring device is installed at the starting end of the trunk, a second monitoring device is installed at the starting end of each branch, and a third monitoring device is installed at each end of each branch, the method comprising:

[0005] Acquire first electrical data monitored by the first monitoring device, second electrical data monitored by the second monitoring device, and third electrical data monitored by the third monitoring device;

[0006] Determine the branch monitoring result of the corresponding branch according to the second electrical data and the third electrical data, and when the branch monitoring results of all branches are that the branches are normal, determine the trunk monitoring result according to the first electrical data and the second electrical data;

[0007] According to the trunk line monitoring results, the trunk line fault is located to obtain the trunk line fuzzy fault position;

[0008] The UAV is used to accurately locate the fuzzy fault position of the main road and obtain the main road fault position.

[0009] In a second aspect, an embodiment of the present application provides a fault location device for a substation power grid, the substation power grid includes a trunk and at least one branch, a first monitoring device is installed at the starting end of the trunk, a second monitoring device is installed at the starting end of each branch, and a third monitoring device is installed at each end of each branch, the device includes:

[0010] An acquisition module, used to acquire first electrical data monitored by the first monitoring device, second electrical data monitored by the second monitoring device, and third electrical data monitored by the third monitoring device;

[0011] A determination module, configured to determine a branch monitoring result of a corresponding branch according to the second electrical data and the third electrical data, and when the branch monitoring results of all branches are that the branches are normal, determine a trunk monitoring result according to the first electrical data and the second electrical data;

[0012] A fuzzy positioning module is used to locate the trunk fault according to the trunk monitoring result and obtain the trunk fuzzy fault position;

[0013] The precise positioning module is used to use the UAV to accurately locate the main road fault location based on the fuzzy fault location of the main road to obtain the main road fault location.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, the electronic device comprising:

[0015] at least one processor; and a memory communicatively coupled to the at least one processor;

[0016] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the fault location method of the substation power grid of any embodiment of the present application.

[0017] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a fault location method for a substation power grid as in any embodiment of the present application.

[0018] In an embodiment of the present application, the first electrical data monitored by the first monitoring device, the second electrical data monitored by the second monitoring device, and the third electrical data monitored by the third monitoring device can be obtained, and then the branch monitoring results of the corresponding branches are determined based on the second electrical data and the third electrical data, and when the branch monitoring results of all branches are normal, the main line monitoring results are determined based on the first electrical data and the second electrical data, and then the main line fault is located according to the main line monitoring results to obtain the main line fuzzy fault position, and a drone is used to perform precise positioning based on the main line fuzzy fault position to obtain the main line fault position, thereby realizing the fault location function of the substation power grid. Compared with the manual inspection method, the above technical solution relies on monitoring electrical data and combining it with drone inspection. Regardless of the external environment, it can quickly and preliminarily determine the location of the fuzzy fault in the trunk line based on the analysis of electrical data, and then use drones to accurately check the fuzzy fault location in the trunk line, which greatly shortens the time from the occurrence of the fault to the determination of the fault point, and reduces the workload of manual inspections by operation and maintenance personnel, making the fault location process more efficient, thereby improving the efficiency of determining the location of the trunk fault, and helping to carry out maintenance work faster; at the same time, by analyzing the electrical data collected by the first monitoring device, the second monitoring device, and the third monitoring device, it can be based on the topological structure of the entire substation power grid, and comprehensively consider the electrical data of different key locations, thereby improving the accuracy of determining the location of the fuzzy fault in the trunk line, and greatly reducing the scope of the drone's key inspection, and then using drones for precise positioning, further improving the accuracy of determining the location of the trunk fault, and reducing the occurrence of misjudgment, effectively solving the problem that it is difficult to locate the fault point in a timely and accurate manner in the prior art, thereby improving the speed of restoring power supply and meeting the needs of rapid power supply restoration. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0020] Figure 1 It is a flow chart of a fault location method of a substation power grid provided in an embodiment of the present application;

[0021] Figure 2 It is another flow chart of the fault location method of the substation power grid provided in the embodiment of the present application;

[0022] Figure 3 It is a structural schematic diagram of a fault location device for a substation power grid provided in an embodiment of the present application;

[0023] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this application.

[0025] It should be noted that the terms "first", "second", "target", and "original" in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including", "having", and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0026] Figure 1 It is a flow chart of the fault location method of the substation power grid provided in the embodiment of the present application. The present embodiment can be applied to the scenario where the fault location of the substation power grid needs to be quickly and accurately located in a complex geographical environment and severe weather conditions. The fault location method of the substation power grid provided in the present embodiment can be executed by the fault location device of the substation power grid provided in the embodiment of the present application, and the device can be implemented by software and / or hardware. In a specific embodiment, the fault location device of the substation power grid can be integrated in an electronic device, such as a computer. The execution subject of the present method can be an electronic device.

[0027] In a specific embodiment, the substation power grid may include a trunk line and at least one branch line, a first monitoring device is installed at the starting end of the trunk line, a second monitoring device is installed at the starting end of each branch line, a third monitoring device is installed at each end of each branch line, and the electronic device can be communicatively connected with the first monitoring device, the second monitoring device and the third monitoring device; wherein each branch line may include multiple ends, and the ends can be connected to the user end to transmit electric energy to the user end; the first monitoring device is a monitoring device installed at the starting end of the trunk line, and is used for real-time measurement and data collection of electrical parameters of the trunk line; the second monitoring device is a monitoring device installed at the starting end of the branch line, and its function is similar to that of the first monitoring device, and it is used to monitor the electrical operation of the branch line from the source, and provide data support for judging the operating status of the branch line; the third monitoring device is a monitoring device installed at the end of the branch line, and is used to obtain the electrical parameters at the end of the branch line, and provide data support for judging the operating status of the branch line.

[0028] See also Figure 1 The fault location method of the substation power grid of this embodiment includes but is not limited to the following steps:

[0029] S110, obtaining first electrical data monitored by a first monitoring device, second electrical data monitored by a second monitoring device, and third electrical data monitored by a third monitoring device.

[0030] Among them, the first electrical data is the electrical data at the starting end of the main line monitored by the first monitoring device, which reflects the power quality and operating status of the main line at the initial position, and provides data support for the subsequent analysis of whether the main line is faulty; the second electrical data is the electrical data at the starting end of the branch line monitored by the second monitoring device, which is used to analyze the operating status of the starting position of the branch line; the third electrical data is the electrical data at the end of the branch line monitored by the third monitoring device; exemplarily, the electrical data may include parameters such as voltage, current, power, frequency, phase and quantity.

[0031] Specifically, when the substation power grid is working, the first monitoring device, the second monitoring device and the third monitoring device can monitor the electrical data of the substation power grid in real time, and collect the monitored electrical data according to the preset sampling frequency and sampling rules. Therefore, when locating the fault of the substation power grid, the electrical data monitored and collected by the first monitoring device in real time can be obtained to obtain the first electrical data, the electrical data monitored and collected by the second monitoring device in real time can be obtained to obtain the second electrical data, and the electrical data monitored and collected by the third monitoring device in real time can be obtained to obtain the third electrical data.

[0032] S120, determining a branch monitoring result of a corresponding branch according to the second electrical data and the third electrical data, and when the branch monitoring results of all branches are normal, determining a trunk monitoring result according to the first electrical data and the second electrical data.

[0033] The branch monitoring result is a conclusion on whether the operation status of the branch is normal; the branch monitoring result may include a normal branch and a branch fault.

[0034] The trunk road monitoring result is a determination conclusion on whether the operation status of the trunk road is normal; the trunk road monitoring result may include a normal trunk road and a trunk road fault.

[0035] Specifically, after obtaining the first electrical data, the second electrical data and the third electrical data, the branch monitoring result of the corresponding branch can be determined according to the second electrical data and the third electrical data. For example, for the current branch in at least one branch, an equivalent circuit model of the current branch can be established, and the parameters of the equivalent circuit model can be preliminarily determined based on the second electrical data to obtain the first parameter, and then the parameters of the equivalent circuit model can be determined based on the third electrical data to obtain the second parameter, and when the change between the first parameter and the second parameter is within the first preset change range, the branch monitoring result of the current branch is determined to be normal. Among them, the first preset change range is a pre-set value range, which is used to determine whether the change between the first parameter and the second parameter is within the normal change range, so as to determine the branch monitoring result. The user can adjust and set the first preset change range according to actual use requirements, and the embodiment of the present application does not make specific limitations on this.

[0036] Specifically, an equivalent circuit model of the current branch can be established according to the line structure and actual load characteristics of the current branch. For example, if the current branch is a pure resistive load (such as an incandescent lamp and an electric heater, etc.), a simple resistance model can be used; if the current branch contains an inductive load such as a motor, a model of a resistor and an inductor in series can be used; then, the starting end voltage and the starting end current are obtained from the second electrical data, and the starting end voltage and the starting end current are substituted into the equivalent circuit model to obtain the first parameter. For example, for a simple resistance model, Ohm's law can be used to determine the first parameter, i.e., the resistance, based on the starting end voltage and the starting end current in the second electrical data; or, for the resistance and the inductor, For the series model, the first parameter, i.e., resistance and inductance, can be determined based on the starting terminal voltage and the starting terminal current in the second electrical data through Ohm's law and the voltage-current relationship of the inductor; then, the terminal voltage and the terminal current are obtained from the third electrical data of each terminal, and the sum of these terminal voltages is calculated to obtain the total terminal voltage, and the sum of these terminal currents is calculated to obtain the total terminal current, and then the total terminal voltage and the total terminal current are substituted into the equivalent circuit model to obtain the second parameter; finally, if the change between the first parameter and the second parameter is within the first preset change range, the branch monitoring result of the current branch is determined to be normal; otherwise, the branch monitoring result of the current branch is determined to be a branch fault.

[0037] When the branch monitoring results of all branches are normal, it indicates that all branches of the substation power grid are normal. At this time, it is necessary to continue to determine whether the main line is faulty, that is, the main line monitoring result can be determined based on the first electrical data and the second electrical data. For example, an overall equivalent circuit model of the main line and the branch can be established, and the theoretical electrical data of the branch can be calculated based on the overall equivalent circuit model, and then the change between the theoretical electrical data and the second electrical data of the corresponding branch can be calculated to obtain the change corresponding to the branch. When the change corresponding to all branches is within the second preset change range, the main line monitoring result is determined to be normal. Among them, the second preset change range is a pre-set value range, which is used to determine whether the change between the theoretical electrical data and the second electrical data is within the normal change range, so as to determine the main line monitoring result. The user can adjust and set the second preset change range according to actual use needs, and the embodiment of the present application does not make specific limitations on this.

[0038] Specifically, the main line can be regarded as an equivalent power source with electromotive force and internal resistance, as well as an equivalent line impedance, and the equivalent circuit models of all branches are connected in parallel to the main line equivalent circuit to form an overall equivalent circuit model. Then, the parameters of the overall equivalent circuit model, namely, electromotive force, internal resistance and equivalent line impedance, are determined according to the first electrical data and the second electrical data of each branch. Then, the current distribution principle of the parallel circuit is used to calculate the theoretical electrical data distributed from the main line to each branch based on the parameters of the overall equivalent circuit model and the parameters of the equivalent circuit model when the branch is operating normally. For example, taking the theoretical current as an example, the change between the theoretical current and the starting end current in the second electrical data of the corresponding branch is calculated to obtain the change corresponding to the branch. If the changes corresponding to all branches are within the second preset change range, the main line monitoring result is determined to be normal; otherwise, the main line monitoring result is determined to be a main line fault.

[0039] S130 , locating the trunk fault according to the trunk monitoring result to obtain the trunk fuzzy fault position.

[0040] The trunk fuzzy fault position is a preliminary fault position obtained when locating the trunk fault based on the trunk monitoring result. The trunk fuzzy fault position at this time is not an accurate fault position, but a position interval where the fault may exist.

[0041] Specifically, after obtaining the trunk line monitoring result, if the trunk line monitoring result is that the trunk line is normal, it indicates that the trunk line has not failed. At this time, S110 to S120 can be repeatedly executed to continue to determine whether the trunk line has failed; if the trunk line monitoring result is a trunk line fault, it indicates that the trunk line has failed. At this time, the trunk line fault can be located according to the trunk line monitoring result to obtain a fuzzy fault position of the trunk line. For example, the electrical quantity change analysis can be performed on the first electrical data and the second electrical data, and the topological structure of the trunk line can be combined to determine one or more possible fault location intervals. For example, if on a certain section of the trunk line, the voltage and current change abnormally at the same time, and there is no branch connected in the middle of this section of the line, this section of the line is determined as the fault location interval. For complex trunk line structures, multiple fault location intervals may be determined, and these fault location intervals constitute the fuzzy fault location of the trunk line.

[0042] S140. Use the drone to accurately locate the fuzzy fault position of the main road to obtain the main road fault position.

[0043] Among them, the main road fault location is the specific fault location determined after further inspection and precise detection of the fuzzy fault location of the main road using a drone, providing accurate fault location information for operation and maintenance personnel.

[0044] Specifically, after obtaining the main road fuzzy fault location, the flight path of the UAV can be planned according to the main road fuzzy fault location to ensure that the flight path of the UAV can completely cover the possible fault area, and the planned flight path can avoid obstacles (such as buildings and trees, etc.) and other dangerous areas. Exemplarily, the flight path can be a broken line or a spiral line to ensure sufficient inspection of the main road fuzzy fault location.

[0045] Then, the drone can be controlled to perform inspections along the flight path and obtain images collected during the inspection process. For example, the visible light camera carried by the drone can be used to photograph the dry road fuzzy fault location to obtain a visible light image corresponding to the dry road fuzzy fault location; or, the infrared image collector carried by the drone can be used to collect infrared images of the dry road fuzzy fault location.

[0046] Afterwards, the collected images can be analyzed to determine the location of the main line fault. For example, the location of the abnormal temperature rise can be determined from the infrared image to obtain the temperature anomaly point, which is the main line fault location. Alternatively, the visible light image can be analyzed manually or automatically. When performing manual analysis, a professional can view the visible light image to check whether the line has obvious damage, foreign objects hanging, and insulator damage, so as to determine the main line fault location. When performing automatic analysis, image recognition technology can be used to identify the line fault characteristics through a trained neural network model to obtain the main line fault location.

[0047] Optionally, after the main line fault location is obtained, the main line fault location can be displayed, for example, by displaying it on a display screen, issuing a prompt tone, text message or email, so as to remind operation and maintenance personnel to go to the main line fault location for repair in time, thereby improving the speed of restoring power supply.

[0048] The technical solution of the embodiment of the present application can obtain the first electrical data monitored by the first monitoring device, the second electrical data monitored by the second monitoring device, and the third electrical data monitored by the third monitoring device, and then determine the branch monitoring results of the corresponding branches according to the second electrical data and the third electrical data, and when the branch monitoring results of all branches are normal, determine the main line monitoring results according to the first electrical data and the second electrical data, and then locate the main line fault according to the main line monitoring results to obtain the main line fuzzy fault position, and use a drone to perform precise positioning based on the main line fuzzy fault position to obtain the main line fault position, thereby realizing the fault location function of the substation power grid. Compared with the manual inspection method, the above technical solution relies on monitoring electrical data and combining it with drone inspection. Regardless of the external environment, it can quickly and preliminarily determine the location of the fuzzy fault in the trunk line based on the analysis of electrical data, and then use drones to accurately check the fuzzy fault location in the trunk line, which greatly shortens the time from the occurrence of the fault to the determination of the fault point, and reduces the workload of manual inspections by operation and maintenance personnel, making the fault location process more efficient, thereby improving the efficiency of determining the location of the trunk fault, and helping to carry out maintenance work faster; at the same time, by analyzing the electrical data collected by the first monitoring device, the second monitoring device, and the third monitoring device, it can be based on the topological structure of the entire substation power grid, and comprehensively consider the electrical data of different key locations, thereby improving the accuracy of determining the location of the fuzzy fault in the trunk line, and greatly reducing the scope of the drone's key inspection, and then using drones for precise positioning, further improving the accuracy of determining the location of the trunk fault, and reducing the occurrence of misjudgment, effectively solving the problem that it is difficult to locate the fault point in a timely and accurate manner in the prior art, thereby improving the speed of restoring power supply and meeting the needs of rapid power supply restoration.

[0049] The following further describes a fault location method for a power grid in a substation area provided by an embodiment of the present application. Figure 2 1 is another flow chart of the fault location method of the substation power grid provided in the embodiment of the present application. The embodiment of the present application is optimized on the basis of the above embodiments.

[0050] Optionally, the first monitoring device may include a first fault recorder and a first smart meter, the second monitoring device may include a second fault recorder and a second smart meter, and the third monitoring device may include a third smart meter; the fault recorder is a device that can automatically and accurately record the change process of electrical data (such as voltage and current, etc.) of the substation power grid before, during and after a fault; the first fault recorder is a fault recorder installed at the starting end of the trunk line, and the second fault recorder is a fault recorder installed at the starting end of the branch line. Smart meters are intelligent electric energy metering devices that, in addition to having the electric energy metering function of traditional meters, can also monitor and record various electrical data such as voltage, current, power factor, active power and reactive power in real time, and can transmit these data to other devices through a communication interface; the first smart meter is a smart meter installed at the starting end of the trunk line, the second smart meter is a smart meter installed at the starting end of the branch line, and the third smart meter is a smart meter installed at the end of the branch line. It should be noted that the first fault recorder and the second fault recorder are low-precision fault recorders with low cost, thereby reducing the cost of fault locating.

[0051] See also Figure 2 The method of this embodiment includes but is not limited to the following steps:

[0052] S201. Acquire first electrical data monitored by a first monitoring device, second electrical data monitored by a second monitoring device, and third electrical data monitored by a third monitoring device.

[0053] Specifically, first electrical data monitored by the first smart meter, second electrical data monitored by the second smart meter, and third electrical data monitored by the third smart meter may be acquired.

[0054] Optionally, before obtaining the first electrical data monitored by the first monitoring device, the second electrical data monitored by the second monitoring device, and the third electrical data monitored by the third monitoring device, a point cloud data set obtained by collecting the substation power grid by a drone can be obtained, and then a substation line laying model of the substation power grid is established based on the point cloud data set, and the main roads and branch roads in the substation line laying model are distinguished and displayed.

[0055] Among them, the point cloud dataset is a collection of a large number of three-dimensional points obtained by scanning the substation power grid through the laser radar or other three-dimensional scanning equipment carried by the drone, and records the spatial position information of each point. These points together constitute the spatial morphological representation of the substation power grid and its surrounding environment.

[0056] The substation line laying model is a digital model built based on a point cloud dataset. It is used to intuitively display the laying of lines within the substation power grid. It is also a virtual presentation of the line topology, equipment location, and connection relationship between the substation power grid.

[0057] Specifically, the flight route of the drone can be planned according to factors such as the scope of the substation power grid, terrain, and surrounding environment to ensure that the flight route can fully cover the substation power grid; secondly, the drone is controlled to fly according to the planned flight route, and during the flight of the drone, the substation power grid is scanned by the laser radar and other equipment carried by the drone to obtain a point cloud data set; then, the point cloud data set is preprocessed, such as filtering and denoising, and the key features of the substation power grid are extracted from the preprocessed point cloud data, mainly including the geometric features of equipment such as poles, lines and transformers. For example, for poles, geometric shape analysis algorithms can be used to automatically identify the poles based on their appearance and shape, being relatively high and perpendicular to the ground, and obtain parameter information such as the position, height and diameter of the poles, such as identifying cylindrical electric poles based on Hough transform; for the line part, the direction and connection relationship of the line can be identified based on the characteristics of the line being slender and extending in the air, and the spatial distribution law and curvature analysis methods can be used to distinguish line segments with different directions and connections.

[0058] Then, according to the identified tower positions and the connection relationship of the lines, the point cloud data corresponding to adjacent towers are connected in sequence in three-dimensional space to construct the basic framework of the substation line laying model. The identified transformers, switches and other power grid ancillary equipment are added to the substation line laying model according to their position and posture information in the point cloud data set to match them with the basic framework and improve the substation line laying model, so as to obtain the substation line laying model of the substation power grid.

[0059] Afterwards, the trunk roads and branches in the substation line laying model can be classified, and different attribute labels can be set for the trunk roads and branches in the substation line laying model. For example, the lines in the substation line laying model can be classified into trunk roads and branches based on the design drawings of the substation power grid, the power supply hierarchy relationship learned from the on-site investigation, and the analysis of the line current direction, load distribution, etc., and the trunk roads and branches can be distinguished through naming rules or by adding classification identification fields in the data structure; finally, the substation line laying model can be rendered and displayed on the display screen of the electronic device, and the trunk roads and branches can be distinguished and displayed, that is, they can be distinguished and displayed by the thickness and color of the lines, for example, the trunk roads are displayed with thicker lines in red, and the branches are displayed with thinner lines in green.

[0060] In the embodiment of the present application, by constructing a substation line laying model and distinguishing and displaying the main line and branch line, it is convenient for users such as power operation and maintenance personnel and engineering and technical personnel to quickly understand the structural layout and electrical connection relationship of the substation power grid, providing a basis for the refined management of the substation power grid.

[0061] S202: Determine a branch monitoring result of a corresponding branch according to the second electrical data and the third electrical data.

[0062] Specifically, for the current branch in at least one branch, the sum of the third electrical data of each end of the current branch can be calculated to obtain the end electrical data, and then the difference between the second electrical data of the current branch and the end electrical data can be calculated to obtain the first difference, and the absolute value of the first difference is determined as the first actual loss value of the current branch. Then, when the first actual loss value is greater than the preset branch loss value, the branch monitoring result of the current branch is determined to be a branch fault; when the first actual loss value is not greater than the preset branch loss value, the branch monitoring result of the current branch is determined to be a normal branch. Among them, the terminal electrical data is the sum of the third electrical data of all terminals of the current branch, reflecting the overall electrical quantity of the current branch at the terminal; the first difference is the difference between the second electrical data of the current branch and the terminal electrical data, which can reflect the change in electrical quantity of the current branch from the starting end to the end; the first actual loss value is used to intuitively indicate the actual degree of electrical quantity loss of the current branch from the starting end to the end; the preset branch loss value is a pre-set threshold value, which represents the maximum electrical quantity loss allowed from the starting end to the end of the branch under normal circumstances, and is used to judge whether the loss of the branch is normal, so as to determine whether the branch is operating normally, that is, if the first actual loss value is greater than the preset branch loss value, it indicates that the current branch has a fault, such as line aging, poor contact or leakage, resulting in excessive electrical quantity loss; otherwise, it indicates that the current branch is normal.

[0063] The absolute value of the difference between the second electrical data of the current branch and the third electrical data of all ends of the current branch can more intuitively reflect the electrical loss situation inside the branch, thereby improving the accuracy and efficiency of determining the first actual loss value. Then, by further comparing the first actual loss value with the preset branch loss value, it is possible to accurately determine whether abnormal loss has occurred in the branch, thereby improving the accuracy and efficiency of determining the branch monitoring results, and providing an accurate data basis for the subsequent determination of the branch fault location.

[0064] S203: Determine whether there is a branch whose branch monitoring result is a branch fault.

[0065] Specifically, after obtaining the branch monitoring result of each branch, it can be determined whether the branch monitoring result of the branch is a branch fault. If there is a branch whose branch monitoring result is a branch fault among all branches, S204 can be executed; if there is no branch whose branch monitoring result is a branch fault among all branches, S207 can be executed.

[0066] S204: When the branch monitoring result is a branch fault, determine the branch corresponding to the branch monitoring result as a faulty branch.

[0067] The faulty branch is a branch that is determined to be faulty by calculating and comparing electrical data during the branch monitoring process, and there may be one or more faulty branches.

[0068] Optionally, after determining the faulty branch, the faulty branch can be marked as a fault, and the number of fault marks corresponding to the branch can be updated; when the number of fault marks of a branch is greater than a preset number threshold, the subordinate users of the branch can be marked as key monitoring, and a list of users marked as key monitoring can be displayed to remind operation and maintenance personnel to focus on monitoring these users for dangerous electricity use behaviors, such as randomly pulling wires, etc. The preset number threshold is a pre-set value used to determine whether to mark the subordinate users of the branch as key monitoring.

[0069] S205. Use the second fault recorder corresponding to the faulty branch to locate the fault of the faulty branch, and obtain a fuzzy fault position of the branch.

[0070] The branch fuzzy fault position is the preliminary fault position obtained when locating the branch fault based on the branch monitoring result. The branch fuzzy fault position at this time is not the precise fault position, but a position interval where the fault may exist.

[0071] Specifically, the fault recorder can record the dynamic change process of electrical data before and after the fault occurs, such as the waveform, amplitude and phase of the electrical data. Therefore, after determining the fault branch, the change characteristic information of the electrical data during the fault period can be extracted from the second fault recorder installed at the starting end of the fault branch, such as the waveform, amplitude and phase of the voltage, or the waveform, amplitude and phase of the current; then the time of the fault occurrence is determined based on the change characteristic information of the electrical data, such as the starting point of a significant electrical quantity change such as a voltage drop or a current mutation; then the fuzzy fault location of the branch is determined based on the change characteristic information of the electrical data and the time of the fault. For example, parameter information such as the line length, wire diameter and material of the fault branch can be obtained, and based on these parameters The impedance of the line per unit length is calculated based on the information. Secondly, the distance between the fault point and the second fault recorder is determined according to the impedance of the line per unit length and the voltage and current recorded by the second fault recorder at the time of the fault, which is recorded as the first distance. The first distance obtained at this time is a preliminary estimate. In actual situations, errors may occur due to factors such as inaccurate line parameters and the influence of load. Therefore, an error threshold is set, which is recorded as the set error threshold. Then, based on the first distance and the set error threshold, a distance interval where a fault may occur is determined, that is, [first distance-preset error threshold, first distance+preset error threshold], and the branch fuzzy fault position is determined according to the distance interval, that is, the position corresponding to each distance in the distance interval is determined, and these positions are combined into a fault position interval, that is, the branch fuzzy fault position.

[0072] S206. Using a drone to accurately locate the branch fault location based on the fuzzy branch fault location, to obtain the branch fault location.

[0073] Among them, the branch fault location is the specific fault location determined after further inspection and precise detection of the fuzzy fault location of the branch using a drone, providing accurate fault location information for operation and maintenance personnel.

[0074] Specifically, after obtaining the fuzzy fault location of the branch, a drone can be used for precise positioning. The specific implementation logic at this time is the same as the specific implementation logic in S140, which will not be repeated here. In this way, the accurate fault location, that is, the branch fault location, can be obtained.

[0075] It should be noted that S205 and S206 are explained by taking the determination of the branch fault position of a faulty branch as an example. When there are multiple faulty branches, the process of determining the branch fault position of each faulty branch is the same, namely S205 and S206.

[0076] Optionally, the fault type can be determined based on the images collected by the drone. For example, if the image of the branch fault location shows obvious traces of line burnt, insulation damage, and short circuit, the fault type can be determined to be a line short circuit fault; if the image of the branch fault location shows signs of breakage, the fault type can be determined to be an open circuit fault. By determining the fault type, it can help operation and maintenance personnel prepare the corresponding maintenance tools and materials in advance, making the maintenance work more targeted, thereby improving maintenance efficiency and success rate.

[0077] Optionally, after the branch fault location is obtained by using a drone to accurately locate the branch fuzzy fault location, a branch warning information can be generated based on the branch fault location, and the branch warning information can be displayed in the substation line laying model to remind the operation and maintenance personnel to go to the branch fault location for maintenance, that is, the corresponding fault branch can be found in the substation line laying model based on the branch fault location, and then the fault branch can be highlighted in the substation line laying model, and flashed at the branch fault location. At the same time, the branch warning information is displayed on the display screen of the electronic device in a pop-up window, a reminder sound, a text message or an email, etc., to promptly remind the operation and maintenance personnel to go to the branch fault location for maintenance, wherein the branch warning information may include the branch fault location, fault type and maintenance suggestions. By displaying the branch warning information in the substation line laying model, the operation and maintenance personnel can quickly and accurately find the fault point, avoid blindly searching in a large area of ​​the substation power grid, and provide the operation and maintenance personnel with preliminary maintenance ideas, thereby saving maintenance time, improving the efficiency and quality of fault repair, and effectively reducing the recurrence of faults caused by improper maintenance.

[0078] Optionally, after the operation and maintenance personnel repair the branch fault location of the faulty branch, a continue monitoring command can be issued to the electronic device to notify the electronic device to continue to monitor the substation power grid for faults and locate the fault location. That is, when the electronic device receives the continue monitoring command issued by the operation and maintenance personnel, S201 to S203 can be repeated, and corresponding steps can be executed according to the branch monitoring results. Specifically, when the branch monitoring result of a branch is a branch fault, S204 to S206 are executed; when the branch monitoring results of all branches are that the branches are normal, S207 to S210 are executed.

[0079] S207. When the branch monitoring results of all branches are normal, determine the trunk monitoring result according to the first electrical data and the second electrical data.

[0080] Specifically, when the branch monitoring results of all branches are normal, the sum of the second electrical data of at least one branch can be calculated to obtain the branch electrical data, and then the difference between the branch electrical data and the first electrical data can be calculated to obtain the second difference, and the absolute value of the second difference is determined as the second actual loss value, and then when the second actual loss value is greater than the preset main line loss value, the main line monitoring result is determined to be a main line fault; when the second actual loss value is not greater than the preset main line loss value, the main line monitoring result is determined to be normal. Among them, the branch electrical data is the sum of the second electrical data at the starting ends of all branches, reflecting the overall electrical quantity of all branches at the starting ends; the second difference is the difference between the branch electrical data and the first electrical data, which can reflect the changes between the main line and the overall electrical quantity of all branches; the second actual loss value is used to intuitively indicate the actual degree of electrical loss in the main line; the preset main line loss value is a pre-set threshold value, which represents the maximum electrical loss allowed for the main line under normal circumstances, so as to determine whether the main line is operating normally, that is, if the second actual loss value is greater than the preset main line loss value, it indicates that there is a fault in the main line, such as aging of the main line, poor contact at the connection point, or leakage, resulting in excessive electrical loss; otherwise, it indicates that the main line is normal.

[0081] The absolute value of the difference between the first electrical data and the second electrical data of all branches can more intuitively reflect the electrical loss situation inside the main line, thereby improving the accuracy and efficiency of determining the second actual loss value. Then, by further comparing the second actual loss value with the preset main line loss value, it is possible to accurately determine whether abnormal loss occurs in the main line, thereby improving the accuracy and efficiency of determining the main line monitoring results, and providing an accurate data basis for the subsequent determination of the main line fault location.

[0082] S208: Determine whether the trunk line monitoring result is a trunk line fault.

[0083] Specifically, if the trunk line monitoring result is that the trunk line is faulty, S209 can be executed; if the trunk line monitoring result is that the trunk line is normal, S201 can be executed to continue monitoring whether the substation power grid has a fault.

[0084] S209: When the trunk line monitoring result is a trunk line fault, use the first fault recorder to locate the trunk line fault to obtain a fuzzy trunk line fault position.

[0085] Specifically, when the trunk line monitoring result is a trunk line fault, the first fault recorder installed at the starting end of the trunk line can be used to locate the fault. The specific implementation logic at this time is the same as the specific implementation logic in S205, and will not be repeated here. The fault location interval, that is, the trunk line fuzzy fault location, can be obtained.

[0086] S210. Use the drone to accurately locate the fuzzy fault position of the main road to obtain the main road fault position.

[0087] Specifically, the implementation process and technical principle of S210 are the same as those of S140, and reference may be made to the detailed description of S140 above, which will not be repeated here.

[0088] Optionally, after using a drone to accurately locate the trunk road fuzzy fault location and obtaining the trunk road fault location, trunk road warning information can be generated based on the trunk road fault location; in the substation line laying model, the trunk road warning information can be displayed to remind the operation and maintenance personnel to go to the trunk road fault location for maintenance, that is, the trunk road can be highlighted in the substation line laying model and flashed at the trunk road fault location, and the trunk road warning information can be displayed on the display screen of the electronic device in a pop-up window, a reminder sound, a text message or an email, etc., to promptly remind the operation and maintenance personnel to go to the trunk road fault location for maintenance, wherein the trunk road warning information may include the trunk road fault location, fault type and maintenance suggestions. By displaying the trunk road warning information in the substation line laying model, the operation and maintenance personnel can quickly and accurately find the fault point, avoid blindly searching in a large area of ​​the substation power grid, and provide the operation and maintenance personnel with preliminary maintenance ideas, thereby saving maintenance time, improving the efficiency and quality of fault repair, and effectively reducing the recurrence of faults caused by improper maintenance.

[0089] Optionally, after the operation and maintenance personnel repair the main line fault location, they can send a continue monitoring command to the electronic equipment to notify the electronic equipment to continue to monitor the substation power grid for faults and locate the fault location. That is, when the electronic equipment receives the continue monitoring command issued by the operation and maintenance personnel, it can repeat S201 to S203 and execute corresponding steps according to the branch monitoring results. Specifically, when the branch monitoring result of a branch is a branch fault, execute S204 to S206; when the branch monitoring results of all branches are that the branches are normal, execute S207 to S210.

[0090] The technical solution of the embodiment of the present application can obtain the first electrical data monitored by the first monitoring device, the second electrical data monitored by the second monitoring device, and the third electrical data monitored by the third monitoring device, and determine the branch monitoring result of the corresponding branch according to the second electrical data and the third electrical data. Secondly, when the branch monitoring result is a branch fault, the branch corresponding to the branch monitoring result is determined as a faulty branch, and then the second fault recorder corresponding to the faulty branch is used to locate the fault of the faulty branch to obtain a fuzzy fault position of the branch, and a drone is used to accurately locate the branch based on the fuzzy fault position of the branch to obtain the branch fault position. The fault branch is initially located by a low-cost second fault recorder, which can improve the accuracy and efficiency of determining the fuzzy fault position of the branch, and then reduce the fault range from the entire branch to a relatively small interval, avoiding blind troubleshooting by operation and maintenance personnel on the entire branch, greatly reducing the time and effort required for fault location, and then further using drones for accurate troubleshooting to improve the accuracy and efficiency of determining the branch fault position, thereby improving the accuracy and efficiency of locating the fault in the substation power grid, thereby improving the speed of restoring power supply and meeting the needs of rapid power supply restoration.

[0091] When the branch monitoring results of all branches are normal, the trunk monitoring results are determined according to the first electrical data and the second electrical data, and when the trunk monitoring result is a trunk fault, the first fault recorder is used to locate the fault of the trunk to obtain a fuzzy fault position of the trunk. The low-cost first fault recorder is used to perform preliminary positioning of the trunk, which can reduce the implementation complexity and improve the calculation efficiency, thereby improving the accuracy and efficiency of determining the fuzzy fault position of the trunk, and providing accurate data support for the subsequent determination of the main road fault position; thereafter, the drone is used to perform precise positioning based on the fuzzy fault position of the trunk to obtain the main road fault position, thereby improving the accuracy and efficiency of determining the main road fault position, thereby improving the accuracy and efficiency of locating the fault of the substation power grid, thereby improving the speed of restoring power supply and meeting the needs of rapid power supply restoration.

[0092] Figure 3 is a structural diagram of a fault location device for a power grid in a substation provided in an embodiment of the present application, with reference to Figure 3 , the fault location device of the substation power grid may include:

[0093] An acquisition module 310, configured to acquire first electrical data monitored by a first monitoring device, second electrical data monitored by a second monitoring device, and third electrical data monitored by a third monitoring device;

[0094] A determination module 320, configured to determine a branch monitoring result of a corresponding branch according to the second electrical data and the third electrical data, and when the branch monitoring results of all branches are that the branches are normal, determine a trunk monitoring result according to the first electrical data and the second electrical data;

[0095] A fuzzy positioning module 330 is used to locate the trunk fault according to the trunk monitoring result to obtain the trunk fuzzy fault position;

[0096] The precise positioning module 340 is used to use the UAV to perform precise positioning based on the fuzzy fault position of the main road to obtain the main road fault position.

[0097] In one embodiment, the first monitoring device includes a first fault recorder and a first smart meter, the second monitoring device includes a second fault recorder and a second smart meter, and the third monitoring device includes a third smart meter.

[0098] In one embodiment, the fuzzy positioning module 330 is specifically used to: when the trunk line monitoring result is a trunk line fault, use the first fault recorder to locate the trunk line fault and obtain the trunk line fuzzy fault position.

[0099] In one embodiment, the fault locating device of the substation power grid also includes a branch fault locating module, which is specifically used to: after determining the branch monitoring result of the corresponding branch based on the second electrical data and the third electrical data, when the branch monitoring result is a branch fault, determine the branch corresponding to the branch monitoring result as a faulty branch; use the second fault recorder corresponding to the faulty branch to locate the fault of the faulty branch to obtain a fuzzy fault position of the branch; use a drone to perform precise positioning based on the fuzzy fault position of the branch to obtain the branch fault position.

[0100] In one embodiment, the determination module 320 determines the branch monitoring result of the corresponding branch based on the second electrical data and the third electrical data, including: for the current branch in at least one branch, calculating the sum of the third electrical data of each end of the current branch to obtain the end electrical data; calculating the difference between the second electrical data and the end electrical data of the current branch to obtain a first difference, and determining the absolute value of the first difference as the first actual loss value of the current branch; when the first actual loss value is greater than the preset branch loss value, determining that the branch monitoring result of the current branch is a branch fault; when the first actual loss value is not greater than the preset branch loss value, determining that the branch monitoring result of the current branch is a normal branch.

[0101] In one embodiment, the determination module 320 determines the main line monitoring result based on the first electrical data and the second electrical data, including: calculating the sum of the second electrical data of at least one branch to obtain the branch electrical data; calculating the difference between the branch electrical data and the first electrical data to obtain the second difference, and determining the absolute value of the second difference as the second actual loss value; when the second actual loss value is greater than the preset main line loss value, determining that the main line monitoring result is a main line fault; when the second actual loss value is not greater than the preset main line loss value, determining that the main line monitoring result is normal.

[0102] In one embodiment, the fault location device of the substation power grid further includes a model building module, which is specifically used to: before obtaining the first electrical data monitored by the first monitoring device, the second electrical data monitored by the second monitoring device, and the third electrical data monitored by the third monitoring device, obtain a point cloud data set obtained by the drone to collect the substation power grid; establish a substation line laying model of the substation power grid based on the point cloud data set, and distinguish and display the trunk and branch roads in the substation line laying model;

[0103] The fault locating device of the substation power grid also includes an early warning display module, which is specifically used for: using a drone to accurately locate the fuzzy fault position of the main road, after obtaining the main road fault position, generating main road early warning information based on the main road fault position; in the substation line laying model, displaying the main road early warning information to remind operation and maintenance personnel to go to the main road fault position for repairs.

[0104] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the functional modules described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0105] The fault location device for the substation power grid provided in this embodiment can be applied to the fault location method for the substation power grid provided in any of the above embodiments, and has corresponding functions and beneficial effects.

[0106] Figure 4 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. Figure 4 A block diagram of an exemplary electronic device 11 suitable for implementing the embodiments of the present application is shown. Figure 4 The electronic device 11 shown is only an example and should not bring any limitation to the function and scope of use of the present embodiment.

[0107] like Figure 4As shown, the electronic device 11 is in the form of a general purpose computing electronic device. The components of the electronic device 11 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0108] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0109] The electronic device 11 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 11, including volatile and non-volatile media, removable and non-removable media.

[0110] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 11 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 4 not shown, usually called a "hard drive"). Although Figure 4 Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical medium) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present application.

[0111] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0112] The electronic device 11 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), may also communicate with one or more devices that enable a user to interact with the electronic device 11, and / or may communicate with any device that enables the electronic device 11 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed through an input / output (I / O) interface 22. Furthermore, the electronic device 11 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter 20.

[0113] like Figure 4 As shown, the network adapter 20 communicates with other modules of the electronic device 11 via the bus 18. It should be understood that although Figure 4 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 11, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0114] The processing unit 16 executes various functional applications and page displays by running the programs stored in the system memory 28, for example, implementing a fault location method for a substation power grid provided in any embodiment of the present application.

[0115] An embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, a fault location method for a substation power grid, for example, provided in any embodiment of the present application, is implemented.

[0116] The computer storage medium of this embodiment can adopt any combination of one or more computer-readable media. Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable storage media can be, for example, but not limited to: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: electrical connections with one or more wires, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this document, computer-readable storage media can be any tangible medium containing or storing programs, which can be used by instruction execution systems, devices or devices or used in combination with them.

[0117] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0118] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0119] Computer program code for performing the operation of the present application can be written in one or more programming languages ​​or combinations thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer, partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0120] It should be understood by those skilled in the art that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0121] In addition, the acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0122] Note that the above are only preferred embodiments of the present application and the technical principles used. Those skilled in the art will understand that the present application is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present application. Therefore, although the present application is described in more detail through the above embodiments, the present application is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the inventive concept of the present application, and the scope of the present application is determined by the scope of the appended claims.

Claims

1. A method for locating a fault in a power grid in a substation area, wherein the power grid in the substation area includes a trunk line and at least one branch line, characterized in that: A first monitoring device is installed at the starting end of the trunk line, a second monitoring device is installed at the starting end of each branch line, and a third monitoring device is installed at each end of each branch line. The method includes: Acquire first electrical data monitored by the first monitoring device, second electrical data monitored by the second monitoring device, and third electrical data monitored by the third monitoring device; Determine a branch monitoring result of a corresponding branch according to the second electrical data and the third electrical data, and when the branch monitoring results of all branches are that the branches are normal, determine a trunk monitoring result according to the first electrical data and the second electrical data; Perform trunk fault location according to the trunk monitoring result to obtain a trunk fuzzy fault position; The UAV is used to accurately locate the main road fault location based on the fuzzy fault location of the main road to obtain the main road fault location.

2. The fault location method of the substation power grid according to claim 1, characterized in that: The first monitoring device includes a first fault recorder and a first smart meter, the second monitoring device includes a second fault recorder and a second smart meter, and the third monitoring device includes a third smart meter.

3. The fault location method of the substation power grid according to claim 2, characterized in that: The performing of main road fault location according to the main road monitoring result to obtain the main road fuzzy fault position includes: When the trunk line monitoring result is a trunk line fault, the first fault recorder is used to locate the trunk line fault to obtain the trunk line fuzzy fault position.

4. The fault location method of the substation power grid according to claim 2, characterized in that: After determining the branch monitoring result of the corresponding branch according to the second electrical data and the third electrical data, the method further includes: When the branch monitoring result is a branch fault, determining the branch corresponding to the branch monitoring result as a faulty branch; Using a second fault recorder corresponding to the fault branch to locate the fault of the fault branch, and obtain a fuzzy fault position of the branch; The UAV is used to accurately locate the branch fault location based on the fuzzy branch fault location to obtain the branch fault location.

5. The fault location method of the substation power grid according to claim 1, characterized in that: The determining the branch monitoring result of the corresponding branch according to the second electrical data and the third electrical data includes: For a current branch in the at least one branch, calculate the sum of the third electrical data of each end of the current branch to obtain the end electrical data; Calculating the difference between the second electrical data of the current branch and the terminal electrical data to obtain a first difference, and determining the absolute value of the first difference as a first actual loss value of the current branch; When the first actual loss value is greater than a preset branch loss value, determining that the branch monitoring result of the current branch is a branch fault; When the first actual loss value is not greater than the preset branch loss value, it is determined that the branch monitoring result of the current branch is that the branch is normal.

6. The fault location method of the substation power grid according to claim 1, characterized in that: The determining of the trunk line monitoring result according to the first electrical data and the second electrical data includes: Calculating the sum of the second electrical data of the at least one branch to obtain branch electrical data; Calculating the difference between the branch electrical data and the first electrical data to obtain a second difference, and determining the absolute value of the second difference as a second actual loss value; When the second actual loss value is greater than the preset trunk line loss value, determining that the trunk line monitoring result is a trunk line fault; When the second actual loss value is not greater than the preset trunk line loss value, it is determined that the trunk line monitoring result is that the trunk line is normal.

7. The fault location method of the substation power grid according to claim 1, characterized in that: Before acquiring the first electrical data monitored by the first monitoring device, the second electrical data monitored by the second monitoring device, and the third electrical data monitored by the third monitoring device, the method further includes: Acquire a point cloud data set obtained by the drone collecting data from the power grid in the substation area; Establishing a substation line laying model of the substation power grid based on the point cloud data set, and distinguishing and displaying the trunk lines and branch lines in the substation line laying model; After the UAV is used to accurately locate the trunk road fuzzy fault position and obtain the trunk road fault position, the method further includes: generating trunk road warning information based on the trunk road fault location; In the substation line laying model, the trunk line warning information is displayed to remind the operation and maintenance personnel to go to the trunk line fault location for maintenance.

8. A fault location device for a power grid in a substation area, the power grid in the substation area comprising a trunk line and at least one branch line, characterized in that: The starting end of the trunk is equipped with a first monitoring device, the starting end of each branch is equipped with a second monitoring device, and each end of each branch is equipped with a third monitoring device. The device includes: an acquisition module, configured to acquire first electrical data monitored by the first monitoring device, second electrical data monitored by the second monitoring device, and third electrical data monitored by the third monitoring device; a determination module, configured to determine a branch monitoring result of a corresponding branch according to the second electrical data and the third electrical data, and to determine a trunk monitoring result according to the first electrical data and the second electrical data when the branch monitoring results of all branches are that the branches are normal; A fuzzy positioning module, used to locate the trunk fault according to the trunk monitoring result to obtain the trunk fuzzy fault position; The precise positioning module is used to use a drone to perform precise positioning based on the fuzzy fault position of the trunk road to obtain the trunk road fault position.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the fault location method for the substation power grid as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the fault location method of the substation power grid as described in any one of claims 1 to 7 is implemented.

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