Power grid fault management and control method and device and power supply system

Abstract

The application discloses a power grid fault management and control method, device and power supply system. The method comprises the following steps: acquiring a power grid monitoring parameter of a region to be managed and controlled; determining a suspected fault region based on the power grid monitoring parameter; troubleshooting the suspected fault region to determine a fault type of the suspected fault region; determining a fault adjustment mechanism according to the fault type, and performing fault self-repairing on the suspected fault region based on the fault adjustment mechanism; performing fault registration and cluster analysis on the suspected fault region processed by the fault self-repairing to obtain a fault type cluster; and performing fault management and control on the region to be managed and controlled according to the fault type cluster. The suspected fault region is subjected to fault self-repairing through the fault adjustment mechanism, and the regions in the same fault type cluster are subjected to targeted fault management and control, so that the risk of fault misjudgment caused by the sudden change of the power grid parameter is reduced, the troubleshooting range of the power grid fault is reduced, the power grid fault is easy to trace, and the fault management and control cost is saved.

Description

Technical Field

[0001] This invention relates to the field of power grid operation and management technology, and in particular to a power grid fault control method, device and power supply system. Background Technology

[0002] With the development of science and technology and the reform of the power grid, optimizing the operation and management of the power grid and carrying out power supply and distribution scheduling and hierarchical management of transmission lines has become an important means to improve the quality of power supply.

[0003] In the existing power grid operation and management strategy, the power grid supplies electricity to residential outlets in different areas sequentially and monitors the grid current and voltage for faults. When a sudden change in current occurs at any point in the power grid, the current fluctuates significantly and is easily identified as a current fault. In this case, operators need to investigate the power lines in the faulty area.

[0004] The existing power grid operation and management strategies have the following problems: During peak residential electricity consumption, the power grid load fluctuates greatly, which can easily cause sudden changes in the power grid current and lead to misjudgment of current faults. At this time, operators need to spend a lot of manpower and time to troubleshoot the fault area, which is difficult to troubleshoot and the source of the fault is also difficult to trace. Summary of the Invention

[0005] This invention provides a power grid fault management method, device, and power supply system to solve the problems of fault misjudgment and fault source tracing caused by existing power grid current fluctuations, thereby reducing the difficulty of fault management.

[0006] According to one aspect of the present invention, a power grid fault management method is provided, comprising:

[0007] Obtain power grid monitoring parameters for the area to be managed;

[0008] Based on the power grid monitoring parameters, suspected fault areas are identified;

[0009] Troubleshooting is performed on the suspected fault areas to determine the fault type of the suspected fault areas;

[0010] A fault adjustment mechanism is determined based on the fault type, and the suspected fault area is self-repaired based on the fault adjustment mechanism.

[0011] Fault registration and cluster analysis are performed on the suspected fault areas that have undergone fault self-repair processing to obtain fault type clusters;

[0012] The cluster performs fault management on the area to be managed based on the fault type.

[0013] According to another aspect of the present invention, a power grid fault management device is provided for executing the above-described power grid fault management method. The device includes: a parameter acquisition module for acquiring power grid monitoring parameters of the area to be managed; a fault location module for determining a suspected fault area based on the power grid monitoring parameters; an investigation module for investigating the suspected fault area and determining the fault type of the suspected fault area; a fault adjustment module for determining a fault adjustment mechanism according to the fault type and performing fault self-repair on the suspected fault area based on the fault adjustment mechanism; a fault recording module for registering faults and performing cluster analysis on the suspected fault area after fault self-repair processing to obtain a fault type cluster; and a management module for performing fault management on the area to be managed according to the fault type cluster.

[0014] According to another aspect of the present invention, a power supply system is provided, comprising: the above-described power grid fault management device.

[0015] The technical solution of this invention acquires power grid monitoring parameters, determines suspected fault areas based on these parameters, investigates these areas to identify fault types, determines a fault adjustment mechanism based on the fault types, and performs self-repair of the suspected fault areas based on this mechanism. It then registers and analyzes the self-repaired suspected fault areas to obtain fault type clusters, and finally manages the affected areas based on these clusters. This solves the problem of difficult fault tracing caused by high fault investigation difficulty and high misjudgment rate in existing power grid operation management strategies. By implementing fault management based on the fault adjustment mechanism, it reduces the risk of misjudgment caused by sudden changes in power grid parameters, narrows the scope of power grid fault investigation, facilitates fault tracing, and saves on fault management costs.

[0016] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 A flowchart of a power grid fault management method provided in an embodiment of the present invention;

[0019] Figure 2A flowchart of another power grid fault management method provided in an embodiment of the present invention;

[0020] Figure 3 A flowchart illustrating another power grid fault control method provided in this embodiment of the invention;

[0021] Figure 4 A flowchart of a power grid fault adjustment mechanism provided in an embodiment of the present invention;

[0022] Figure 5 A flowchart illustrating another power grid fault adjustment mechanism provided in an embodiment of the present invention;

[0023] Figure 6 A flowchart illustrating another power grid fault control method provided in this embodiment of the invention;

[0024] Figure 7 This is a schematic diagram of the structure of a power grid fault control device provided in an embodiment of the present invention. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] Example 1

[0028] Figure 1This is a flowchart of a power grid fault management method provided in an embodiment of the present invention. This embodiment can be applied to application scenarios that reduce parameter mutations at fault locations through fault adjustment mechanisms. The method can be executed by a power grid fault management device, which can be implemented in hardware and / or software and can be configured in the power grid power supply system.

[0029] like Figure 1 As shown, the power grid fault management method includes the following steps:

[0030] Step S1: Obtain the power grid monitoring parameters of the area to be managed.

[0031] The area to be controlled can be multiple line locations within a specific power grid distribution area.

[0032] In some embodiments, power grid monitoring parameters include, but are not limited to, current parameters, voltage parameters, resistance parameters, and power parameters. These parameters can be acquired using sensors or other electrical parameter detection devices. In other words, sensors or other electrical parameter detection devices can be installed at multiple line locations within a specific power grid distribution area to collect and record power grid monitoring parameters on the transmission lines in real time.

[0033] For example, taking current parameters as an example, multiple current values ​​in the area to be controlled can be monitored, and the corresponding current parameters at each location can be collected. These current parameters can then be used as the basis for identifying current abrupt changes. A current abrupt change can be a sudden change in current at the same location on the same transmission line at different times; or a sudden change in current between any phase and other phases in the transmission line; or a sudden change in current at different locations on the same transmission line at the same time.

[0034] Step S2: Determine the suspected fault area based on power grid monitoring parameters.

[0035] Among them, the suspected fault area refers to the power grid supply area where there are sudden changes in parameters.

[0036] Typically, suspected fault areas include, but are not limited to: areas of sudden current changes, areas of sudden voltage changes, areas of sudden resistance changes, or areas of sudden load changes.

[0037] In some embodiments, a fault signal can be triggered based on changes in power grid monitoring parameters, and the suspected fault area can be located by tracing the origin of the fault signal.

[0038] Step S3: Conduct troubleshooting on suspected fault areas to determine the type of fault in the suspected fault areas.

[0039] In this application, fault type decomposition can be performed based on one or more combinations of parameters such as fault category or fault level. Typically, taking fault type classification based on fault level as an example, fault types include, but are not limited to: minor fault, moderate fault, or severe fault; taking fault type classification based on parameter category as an example, fault types include, but are not limited to: current surge fault, voltage surge fault, or active / reactive power fault.

[0040] In this application, a fault prediction model can be used to determine the fault type of a suspected fault area. The fault prediction model can be established through machine learning based on a pre-built sample set of multiple sets of fault investigation parameters and fault types.

[0041] Step S4: Determine the fault adjustment mechanism based on the fault type, and perform fault self-repair on the suspected fault area based on the fault adjustment mechanism.

[0042] The fault adjustment mechanism is a control strategy that adaptively adjusts grid current, grid voltage, or active / reactive power based on the fault type in the currently suspected fault area. The goal of this fault adjustment mechanism is to eliminate or reduce parameter abrupt changes in the currently suspected fault area, thereby achieving fault self-repair.

[0043] For example, taking a fault type of sudden current change as an example, the adaptive adjustment rack performs voltage reduction processing on suspected fault areas with large sudden current changes and reduces the corresponding current parameters to suppress the corresponding current values.

[0044] Step S5: Register and analyze the suspected fault areas that have undergone fault self-repair processing to obtain fault type clusters.

[0045] A fault type cluster is a cluster of fault points with the same fault type. All fault points within a fault type cluster have the same fault type and can interact with upper and lower control nodes based on any fault point within the cluster. Typically, the data interaction between the cluster and the upper / lower control nodes includes: the number of fault points and the power grid parameters associated with the fault type. The fault analysis results for any fault point can be applied to all fault points within the cluster.

[0046] It should be noted that, in cluster analysis, in addition to referring to the fault type, the location information of the suspected fault area can also be combined for classification.

[0047] In some embodiments, fault registration methods include, but are not limited to, marking suspected fault areas based on a power grid distribution map.

[0048] Step S6: Perform fault management on the area to be managed based on the fault type.

[0049] The methods of fault management include, but are not limited to: determining the scope of fault investigation and determining fault investigation strategies.

[0050] Typically, troubleshooting strategies include, but are not limited to, any of the following: manual repair or repair using intelligent equipment (e.g., unmanned aerial vehicles); repair with power off or repair with power on.

[0051] In some embodiments, fault management is performed on the area to be managed based on the fault type cluster, including: obtaining a preset fault investigation range and the number of fault points in the fault type cluster; determining whether the number of fault points of the same type reaches a preset fault number threshold; if the number of fault points of the same type reaches the preset fault number threshold, then determining the fault management range based on the preset fault investigation range.

[0052] The preset fault investigation range refers to the work area where fault investigation is performed. The fault investigation range can be set based on fault experience or the power distribution operation management scope, and its specific value is not limited. For example, the preset fault investigation range can be set as a range with a radius of 100 meters to 500 meters centered on the location with a large number of fault points.

[0053] In this application, the preset fault number threshold refers to the upper limit of the number of fault points required to maintain the normal operation of the fault type cluster. For example, the preset fault number threshold can be set to 5 fault points.

[0054] Specifically, during power grid operation, real-time monitoring parameters are collected. When these parameters suddenly change, a fault signal is triggered. By tracing the origin of the fault signal, a suspected fault area is located. The fault type in the suspected fault area is decomposed, and an adaptive fault adjustment mechanism corresponding to the current fault type is matched. Based on this adaptive fault adjustment mechanism, the suspected fault area undergoes self-repair, reducing faults caused by sudden parameter changes. Simultaneously, fault points are marked on the power grid distribution map and clustered by fault type to establish fault type clusters. Using the location with the most fault points within a fault type cluster as the center, fault detection is performed along a preset fault investigation range. It is determined whether the number of fault points of the same fault type within the preset fault investigation range reaches a preset fault count threshold. If so, the area with the same fault type concentration is targeted for investigation. Through the fault adjustment mechanism, the suspected fault area undergoes self-repair, and the area with the same fault type concentration is targeted for fault control, reducing the risk of misjudgment of faults caused by sudden power grid parameter changes, narrowing the scope of power grid fault investigation, facilitating power grid fault tracing, and saving fault control costs.

[0055] Optionally, Figure 2 A flowchart of another power grid fault management method provided in an embodiment of the present invention is shown. Figure 1 Based on this, a specific implementation method for identifying suspected fault areas is shown.

[0056] like Figure 2 As shown, the power grid fault management method includes the following steps:

[0057] Step S1: Obtain the power grid monitoring parameters of the area to be managed.

[0058] Step S201: Obtain the rate of change of power grid monitoring parameters.

[0059] The rate of change refers to the abrupt change in the power grid detection parameters within a preset time period. Typically, the rate of change can be the rate of change of the power grid current within the preset time period.

[0060] Step S202: Determine whether to trigger a fault signal based on the rate of change of the power grid monitoring parameters.

[0061] The fault signal can carry information about the location of the signal initiation point.

[0062] If the rate of change of the power grid monitoring parameters reaches the preset rate of change threshold, a fault signal is triggered and subsequent steps S203 are executed; if the rate of change of the power grid monitoring parameters does not reach the preset rate of change threshold, a fault signal is not triggered.

[0063] Step S203: Locate the initiation point and determine the suspected fault area based on the fault signal.

[0064] Step S3: Conduct troubleshooting on suspected fault areas to determine the type of fault in the suspected fault areas.

[0065] Step S4: Determine the fault adjustment mechanism based on the fault type, and perform fault self-repair on the suspected fault area based on the fault adjustment mechanism.

[0066] Step S5: Register and analyze the suspected fault areas that have undergone fault self-repair processing to obtain fault type clusters.

[0067] Step S6: Perform fault management on the area to be managed based on the fault type.

[0068] Specifically, steps S201 to S203 above provide a method for determining suspected fault areas based on sudden changes in power grid monitoring parameters. Taking current parameters as an example, the current values ​​at multiple different locations in the power grid line are monitored in real time, and the rate of change of the power grid current within a preset time is calculated. If the rate of change of the power grid current reaches a preset rate of change threshold, it is determined that the current is in a sudden change state. A fault signal is triggered based on the current sudden change. This fault signal can be used to locate the location where the current sudden change occurs, i.e., the suspected fault area. Real-time monitoring of the current value in the suspected fault area facilitates the investigation of areas with large current sudden changes, thereby realizing the management and control of current sudden change faults.

[0069] In some embodiments, when locating the originating point based on the fault signal, the fault signal can be resolved by IP address, and the originating point of the fault signal can be determined based on the resolution result.

[0070] Specifically, upon receiving a fault signal, the IP address of the fault signal is resolved to obtain the location information of the signal origin. By consulting the power grid distribution map, the corresponding distribution area is determined, and this area is identified as a suspected fault area. By tracing the fault signal and consulting a table, the fault origin can be identified, facilitating fault registration.

[0071] Optionally, Figure 3 A flowchart of another power grid fault management method provided in an embodiment of the present invention is shown. Figure 1 Based on this, a specific implementation method for determining the fault type of a fault region is shown.

[0072] like Figure 3 As shown, step S3 above includes the following steps:

[0073] Step S1: Obtain the power grid monitoring parameters of the area to be managed.

[0074] Step S2: Determine the suspected fault area based on power grid monitoring parameters.

[0075] Step S301: Obtain the troubleshooting parameters for the suspected fault area.

[0076] The fault diagnosis parameters include at least one of the following: current parameters, voltage parameters, and resistance parameters.

[0077] Step S302: Determine the fault type based on the fault prediction model and fault troubleshooting parameters.

[0078] Step S4: Determine the fault adjustment mechanism based on the fault type, and perform fault self-repair on the suspected fault area based on the fault adjustment mechanism.

[0079] Step S5: Register and analyze the suspected fault areas that have undergone fault self-repair processing to obtain fault type clusters.

[0080] Step S6: Perform fault management on the area to be managed based on the fault type.

[0081] Specifically, steps S301 to S302 above provide a method for determining fault types based on a fault prediction model. This fault prediction model is built using machine learning based on a pre-constructed sample set of multiple sets of fault investigation parameters and fault types. The sample set of fault investigation parameters and fault types can be historical statistical data of power grid faults. During the fault prediction model training phase, historical fault investigation parameters can be used as model input parameters, and historical fault types can be used as model output parameters to optimize the model parameters, enabling the fault prediction model to predict fault types based on the fault investigation parameters.

[0082] In some embodiments, determining the fault type based on the fault prediction model and fault investigation parameters includes: substituting the fault investigation parameters as input parameters into the fault prediction model; and determining the fault type based on the output parameters of the fault prediction model; wherein the fault type includes minor fault, moderate fault, and severe fault.

[0083] Specifically, fault diagnosis is conducted in suspected fault areas, and real-time parameters of these areas, such as current, voltage, and resistance, are collected. These current, voltage, and resistance parameters are then input into a fault prediction model. The model calculates the input parameters and outputs the fault type, such as minor, moderate, or severe fault, along with the corresponding parameter changes for each type. By establishing a fault prediction model, the accuracy of fault type identification is improved, facilitating the matching of corresponding adaptive fault adjustment mechanisms and enabling self-repair of suspected fault areas. This helps reduce the risk of misjudgment caused by sudden changes in power grid parameters, narrows the scope of power grid fault diagnosis, and enhances the targeted nature of fault management.

[0084] Optionally, Figure 4 A flowchart of a power grid fault adjustment mechanism provided in an embodiment of the present invention.

[0085] like Figure 4 As shown, the power grid fault management method includes the following steps:

[0086] Step S401: Decompose the fault type to obtain the fault decomposition result.

[0087] The fault decomposition results include: segmenting and analyzing fault types at different locations within the control area to facilitate segmented management of power grid faults.

[0088] Step S402: Trigger the corresponding fault adjustment mechanism based on the fault decomposition results.

[0089] Step S403: Perform fault control on the suspected fault area according to the fault adjustment mechanism.

[0090] Specifically, taking the case of two suspected fault areas within a controllable region as an example, the fault type of the first suspected fault area is defined as a minor fault, and the fault type of the second suspected fault area is defined as a severe fault. After fault decomposition, corresponding adaptive fault adjustment mechanisms are triggered based on the fault type of different suspected fault areas. For example, if a severe fault with increased current occurs in the second suspected fault area, the adaptive fault adjustment mechanism performs voltage reduction processing on the second suspected fault area and lowers the corresponding current parameter to suppress the current value of the second suspected fault area; if a minor fault with increased current occurs in the first suspected fault area, the adaptive fault adjustment mechanism performs voltage reduction processing on the first suspected fault area to suppress the current value of the first suspected fault area. By decomposing the fault and implementing corresponding fault adjustment mechanisms for different fault areas, it is beneficial to improve the self-repair effect of faults, reduce the scope of power grid fault investigation, and save fault control costs.

[0091] Optionally, Figure 5 A flowchart of another power grid fault adjustment mechanism provided in an embodiment of the present invention is shown. Figure 4 Based on this, power grid protection strategies have been added.

[0092] like Figure 5 As shown, the power grid fault management method also includes the following steps:

[0093] Step S404: Trigger the grid protection strategy based on the fault adjustment mechanism. The grid protection strategy includes at least the following: current protection strategy.

[0094] Step S405: Perform anomaly monitoring on the area to be managed based on the power grid protection strategy.

[0095] In this application, the protection range of the current protection strategy is greater than the protection range of the fault adjustment mechanism. For example, the upper limit threshold of the current parameter that triggers the current protection strategy is greater than the upper limit threshold of the current parameter that triggers the fault adjustment mechanism; the lower limit threshold of the current parameter that triggers the current protection strategy is greater than the lower limit threshold of the current parameter that triggers the fault adjustment mechanism.

[0096] Specifically, when performing fault control on suspected fault areas according to the fault adjustment mechanism, the power grid protection strategy is triggered based on the fault adjustment mechanism. Taking the power grid protection strategy as a current protection strategy as an example, after the fault self-repairs, the power grid monitoring parameters of the area to be controlled are continuously collected, and anomaly monitoring is performed on the area to be controlled based on the current parameter threshold in the power grid protection strategy to achieve current protection of the area to be controlled. By adding power grid protection strategies and improving the power grid fault control strategy, self-checking of abnormal power grid parameters and abnormal parameter mutations is performed, reducing the scope of power grid fault investigation, facilitating power grid fault tracing, and saving fault control costs.

[0097] Optionally, Figure 6 A flowchart of another power grid fault management method provided in an embodiment of the present invention is shown. Figure 1 Based on this, a specific implementation method for fault registration is shown.

[0098] like Figure 6 As shown, the power grid fault management method includes the following steps:

[0099] Step S1: Obtain the power grid monitoring parameters of the area to be managed.

[0100] Step S2: Determine the suspected fault area based on power grid monitoring parameters.

[0101] Step S3: Conduct troubleshooting on suspected fault areas to determine the type of fault in the suspected fault areas.

[0102] Step S4: Determine the fault adjustment mechanism based on the fault type, and perform fault self-repair on the suspected fault area based on the fault adjustment mechanism.

[0103] Step S501: Record the fault points in the suspected fault areas that have undergone fault self-repair processing.

[0104] The fault point record should include at least the fault type and the location of the fault point.

[0105] Step S502: Mark the fault points based on the preset power grid distribution map and display the fault type of the fault points.

[0106] Step S503: Form corresponding fault type clusters based on the distribution area and fault type of the fault points.

[0107] Step S6: Perform fault management on the area to be managed based on the fault type.

[0108] Specifically, steps S501 to S503 describe a specific implementation method for establishing fault type clusters. Taking fault leveling based on a preset power grid distribution map as an example, when recording fault points, the location and fault type of each fault point in the suspected fault area can be visually displayed on the preset power grid distribution map. If two fault points of the same fault type in the preset power grid distribution map are close to each other, for example, the actual distance is less than 1km, then the two fault points can be divided into a fault type cluster. If the number of fault points in a fault type cluster reaches a preset fault number threshold, then fault investigation is carried out in the suspected fault area based on a preset fault investigation range. By registering faults through a preset power grid distribution map and establishing fault type clusters, and performing fault investigation on areas with concentrated faults in the fault type clusters, it is beneficial to reduce the scope of power grid fault investigation, facilitate power grid fault tracing, and save fault management costs.

[0109] Based on the same inventive concept, the present invention also provides a power grid fault management device for executing the power grid fault management method provided in any of the above embodiments, and has the corresponding functional modules and beneficial effects of executing the method.

[0110] Figure 7 This is a schematic diagram of the structure of a power grid fault control device provided in an embodiment of the present invention.

[0111] like Figure 7 As shown, the power grid fault control device 00 includes:

[0112] Parameter acquisition module 10 is used to acquire power grid monitoring parameters of the area to be managed;

[0113] Fault location module 20 is used to determine suspected fault areas based on power grid monitoring parameters;

[0114] The troubleshooting module 30 is used to troubleshoot suspected fault areas and determine the fault type of the suspected fault area.

[0115] The fault adjustment module 40 is used to determine the fault adjustment mechanism according to the fault type, and to perform fault self-repair on the suspected fault area based on the fault adjustment mechanism;

[0116] The fault recording module 50 is used to register faults in suspected fault areas that have undergone fault self-repair processing, and obtain fault type clusters.

[0117] The management module 60 is used to perform fault management on the area to be managed based on the fault type.

[0118] Specifically, the fault location module 20 identifies areas where power grid monitoring parameters undergo sudden changes as suspected fault areas. The fault adjustment module 40 matches the corresponding fault adjustment mechanism according to the fault type of the suspected fault area, and the fault adjustment mechanism performs fault self-repair in the suspected fault area. The fault recording module 50 registers and performs cluster analysis on the suspected fault areas that have undergone fault self-repair, and establishes fault type clusters. The control module 60 performs targeted fault control on areas with the same fault type clusters. This solves the problem of high fault investigation difficulty and high misjudgment rate in the existing power grid operation and management strategy, which leads to the difficulty in tracing the source of power grid faults. It reduces the risk of fault misjudgment caused by sudden changes in power grid parameters, reduces the scope of power grid fault investigation, reduces the difficulty of fault investigation, facilitates power grid fault tracing, and saves power grid fault control costs.

[0119] Optionally, the fault location module 20 is used to obtain the rate of change of power grid monitoring parameters; determine whether to trigger a fault signal based on the power grid monitoring parameters or the rate of change; and after triggering a fault signal, locate the initiation point based on the fault signal to determine the suspected fault area.

[0120] Optionally, the troubleshooting module 30 is used to obtain troubleshooting parameters for suspected fault areas. The troubleshooting parameters include at least one of the following: current parameters, voltage parameters, and resistance parameters; and to determine the fault type based on the fault prediction model and the troubleshooting parameters. The fault prediction model is established by machine learning based on a pre-built sample set of multiple sets of fault troubleshooting parameters and fault types.

[0121] Optionally, the troubleshooting module 30 is also used to input the troubleshooting parameters into the fault prediction model; and to determine the fault type based on the output parameters of the fault prediction model; wherein the fault type includes minor fault, moderate fault and severe fault.

[0122] Optionally, the fault adjustment module 40 is used to decompose the fault type to obtain the fault decomposition result; trigger the corresponding fault adjustment mechanism based on the fault decomposition result; and perform fault control on the suspected fault area according to the fault adjustment mechanism.

[0123] Optionally, the fault recording module 50 is used to record fault points in suspected fault areas that have undergone fault self-repair processing. The fault point record includes at least: fault type and fault point location; marking the fault points based on a preset power grid distribution map and displaying the fault type of the fault points; and forming corresponding fault type clusters based on the distribution area and fault type of the fault points.

[0124] Optionally, the control module 60 is used to obtain the number of fault points in the preset fault investigation range and fault type cluster; determine whether the number of fault points of the same type reaches the preset fault number threshold; if the number of fault points of the same type reaches the preset fault number threshold, then determine the fault control range based on the number of fault points and the preset fault investigation range.

[0125] Optionally, the fault adjustment module 40 is used to perform anomaly monitoring on the area to be managed based on the triggered power grid protection strategy, which includes at least a current protection strategy, the protection range of which is greater than the protection range of the fault adjustment mechanism.

[0126] Based on any of the above embodiments, the present invention also provides a power supply system, including: a power grid fault control device provided in any of the above embodiments, the power grid fault control device being used to execute the power grid fault control method provided in any of the above embodiments, and having corresponding functional modules and beneficial effects for executing the method.

[0127] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0128] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A power grid fault management method, characterized in that, include: Obtain power grid monitoring parameters for the area to be managed; Based on the power grid monitoring parameters, suspected fault areas are identified; Troubleshooting is performed on the suspected fault areas to determine the fault type of the suspected fault areas; A fault adjustment mechanism is determined based on the fault type, and the suspected fault area is self-repaired based on the fault adjustment mechanism. Fault registration and cluster analysis are performed on the suspected fault areas that have undergone fault self-repair processing to obtain fault type clusters; The cluster of fault types is used to manage the faults in the area to be managed. The process of determining suspected fault areas based on the power grid monitoring parameters includes: Obtain the rate of change of the power grid monitoring parameters; Determine whether to trigger a fault signal based on the rate of change; After the fault signal is triggered, the suspected fault area is determined by locating the initiation point based on the fault signal. Troubleshooting is performed on the suspected fault areas to determine the fault type, including: Obtain the fault diagnosis parameters for the suspected fault area, wherein the fault diagnosis parameters include at least one of the following: current parameters, voltage parameters, and resistance parameters; The fault type is determined based on the fault prediction model and the fault investigation parameters; The fault prediction model is established through machine learning based on a pre-built sample set of multiple fault investigation parameters and fault types. The process involves fault registration and cluster analysis of the suspected fault areas that have undergone fault self-repair processing to obtain fault type clusters, including: For the suspected fault areas that have undergone fault self-repair processing, fault point records are made, wherein the fault point records include at least: fault type and fault point location; Fault points are marked based on a preset power grid distribution map, and the fault types of the fault points are displayed; Based on the distribution area of ​​the fault points and the fault type, a corresponding fault type cluster is formed; Based on the fault type cluster, fault management is performed on the area to be managed, including: Obtain the preset fault investigation range and the number of fault points in the fault type cluster; Determine whether the number of fault points of the same type has reached a preset fault count threshold; If the number of fault points of the same type reaches a preset fault number threshold, the fault control scope is determined based on the number of fault points and the preset fault investigation scope.

2. The method according to claim 1, characterized in that, The fault type is determined based on the fault prediction model and the fault investigation parameters, including: The fault diagnosis parameters are used as input parameters and substituted into the fault prediction model; The fault type is determined based on the output parameters of the fault prediction model.

3. The method according to claim 1, characterized in that, The step of determining the fault adjustment mechanism based on the fault type includes: The fault type is decomposed to obtain the fault decomposition result; The corresponding fault adjustment mechanism is triggered based on the fault decomposition results. The suspected fault area is controlled according to the fault adjustment mechanism.

4. The method according to any one of claims 1-3, characterized in that, After performing fault self-repair on the suspected fault area based on the fault adjustment mechanism, the method further includes: The fault adjustment mechanism triggers a power grid protection strategy, wherein the power grid protection strategy includes at least a current protection strategy, and the protection range of the current protection strategy is greater than the protection range of the fault adjustment mechanism. Anomaly monitoring is performed on the area to be managed based on the power grid protection strategy.

5. A power grid fault control device, characterized in that, The apparatus for performing the power grid fault control method according to any one of claims 1-4, the apparatus comprising: The parameter acquisition module is used to acquire power grid monitoring parameters for the area to be managed. The fault location module is used to determine the suspected fault area based on the power grid monitoring parameters; The troubleshooting module is used to troubleshoot the suspected fault area and determine the fault type of the suspected fault area; The fault adjustment module is used to determine the fault adjustment mechanism according to the fault type, and to perform fault self-repair on the suspected fault area based on the fault adjustment mechanism; The fault recording module is used to register and analyze the suspected fault areas that have undergone fault self-repair processing to obtain fault type clusters. The management module is used to perform fault management on the area to be managed according to the fault type cluster.

6. A power supply system, characterized in that, include: The power grid fault control device according to claim 5.

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