Power distribution network fault processing method, system and device and storage medium

Abstract

The embodiment of the invention discloses a power distribution network fault processing method, system and device and a storage medium, and the method comprises the steps: configuring a plurality of data collection interfaces for a plurality of data sources, and enabling the plurality of data sources to be in one-to-one correspondence with the plurality of data collection interfaces; acquiring operation data of the power distribution network based on the data acquisition interface; determining fault data according to the operation data of the power distribution network; and according to the fault data, positioning to obtain the position of a fault point, and processing the fault according to a preset strategy. The method solves the technical problems that a single-point algorithm is usually adopted for fault positioning in a traditional power distribution network fault processing method, so that the application range of the algorithm is limited, and a specific fault source cannot be accurately positioned.

Description

Technical Field

[0001] The present invention belongs to the technical field of power distribution networks, and in particular, relates to a power distribution network fault processing method, system, device and storage medium. Background Art

[0002] Distribution network automation is the use of modern electronic technology, communication technology, computer and network technology to achieve the monitoring, protection, control and modernization of distribution pipe burial in the normal operation and accident situation of distribution system. With the rapid development of national economy and the deepening of reform and opening up, power users have higher and higher requirements for power quality and power supply reliability. However, voltage fluctuations and timely power outages will cause huge losses. Therefore, distribution network fault handling methods have emerged, which provide effective support for improving power supply reliability, improve the management level of distribution network, and provide high-quality electricity to the majority of power users uninterruptedly.

[0003] Traditional fault indicators have a low online rate due to the unreliable solar power supply of the collection unit, which leads to distortion of sampling data and low data sampling accuracy. At the same time, due to its single function, the fault indicator has certain limitations in its application scope and is extremely inconvenient to use. In addition, traditional distribution network fault handling methods usually use single-point algorithms to locate faults, which leads to a limited scope of adaptability of the algorithm and the inability to accurately locate the specific fault source, so that the fault cannot be handled in time. Summary of the invention

[0004] The embodiments of the present invention provide a distribution network fault processing method, system, device and storage medium to at least solve the technical problem that the traditional distribution network fault processing method usually adopts a single-point algorithm to locate the fault, resulting in a limited adaptability of the algorithm and an inability to accurately locate the specific fault source.

[0005] According to a first aspect of an embodiment of the present invention, a distribution network fault processing method is provided, comprising: configuring multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one-to-one to the multiple data acquisition interfaces; acquiring distribution network operation data based on the data acquisition interfaces; determining fault data based on the distribution network operation data; locating a fault point based on the fault data, and processing the fault according to a preset strategy.

[0006] Optionally, the multiple data sources include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

[0007] Optionally, based on the data acquisition interface, the distribution network operation data is obtained, including: based on the acquisition interface, using the acquisition unit, the distribution network operation data is obtained in real time, wherein the acquisition unit includes a 16-bit independent AD, the sampling frequency is 12.8 kHz, and the acquisition accuracy is 0.5 level.

[0008] Optionally, the fault data is determined based on the distribution network operation data, including: using a preset distribution network multi-parameter information analysis and processing algorithm to analyze and process the distribution network operation data to extract the fault data.

[0009] Optionally, locating the fault point according to the fault data includes: determining the fault source according to the fault data; and determining the fault point location according to the fault source using a preset multi-point joint decision algorithm.

[0010] Optionally, the fault is processed according to a preset strategy, including: determining the fault source corresponding to the fault point location; in response to the fault source corresponding to the fault point location being a distribution network automation management system, using a first preset strategy to process the fault; or, in response to the fault source corresponding to the fault point location being non-distribution network automation management system, using a second preset strategy to process the fault.

[0011] According to a second aspect of an embodiment of the present invention, a distribution network fault processing system is also provided, including: a configuration module, used to configure multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one-to-one to the multiple data acquisition interfaces; an acquisition module, used to acquire distribution network operation data based on the data acquisition interface; a determination module, used to determine fault data based on the distribution network operation data; and a processing module, used to locate the fault point based on the fault data, and process the fault according to a preset strategy.

[0012] Optionally, the multiple data sources in the configuration module include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

[0013] Optionally, the acquisition module is also used to: based on the acquisition interface, use the acquisition unit to acquire the distribution network operation data in real time, wherein the acquisition unit includes a 16-bit independent AD, the sampling frequency is 12.8 kHz, and the acquisition accuracy is 0.5 level.

[0014] Optionally, the determination module is also used to: analyze and process the distribution network operation data using a preset distribution network multi-parameter information analysis and processing algorithm to extract fault data.

[0015] Optionally, the processing module is further used to: determine the fault source according to the fault data; and determine the fault point location according to the fault source using a preset multi-point joint decision algorithm.

[0016] Optionally, the processing module is also used to: determine the fault source corresponding to the fault point location; in response to the fault source corresponding to the fault point location being a distribution network automation management system, use a first preset strategy to process the fault; or, in response to the fault source corresponding to the fault point location being non-distribution network automation management system, use a second preset strategy to process the fault.

[0017] According to a third aspect of an embodiment of the present invention, there is also provided an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the distribution network fault handling method described in any embodiment of the first aspect above.

[0018] According to a fourth aspect of an embodiment of the present invention, a non-volatile storage medium is further provided, in which a computer program is stored, wherein the computer program is configured to execute the distribution network fault handling method described in any embodiment of the first aspect when running on a computer or a processor.

[0019] According to a fifth aspect of an embodiment of the present invention, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the distribution network fault processing method described in any embodiment of the first aspect above is implemented.

[0020] In an embodiment of the present invention, multiple data acquisition interfaces are configured for multiple data sources, wherein the multiple data sources correspond to the multiple data acquisition interfaces one by one; based on the data acquisition interfaces, the distribution network operation data is obtained; based on the distribution network operation data, the fault data is determined; based on the fault data, the fault point is located, and the fault is processed according to a preset strategy. By integrating and analyzing the fault data information collected from each data source, it is possible to fuse multi-source data information, locate the fault source more accurately, reduce misjudgment and missed judgment, and solve the technical problem that the traditional distribution network fault processing method usually uses a single-point algorithm to locate the fault, resulting in a limited scope of adaptability of the algorithm and an inability to accurately locate the specific fault source. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are provided to explain the present invention and do not constitute an improper limitation of the present invention.

[0022] In the figure:

[0023] Figure 1 is a flow chart of a method for handling distribution network faults according to one embodiment of the present invention;

[0024] Figure 2It is a structural block diagram of a distribution network fault processing system according to one embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work 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 and claims of the present invention and the above-mentioned drawings are set to distinguish similar objects, and are not necessarily set to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "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.

[0027] According to an embodiment of the present invention, an embodiment of a distribution network fault handling method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system containing at least one set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] The method embodiment can also be executed in an electronic device including a memory and a processor, a similar control device or a cloud. Taking an electronic device as an example, the electronic device may include one or more processors and a memory configured to store data. Optionally, the electronic device may also include a communication device configured to have a communication function and a display device. It will be understood by those of ordinary skill in the art that the above structural description is only illustrative and does not limit the structure of the above electronic device. For example, the electronic device may also include more or fewer components than the above structural description, or have a configuration different from the above structural description.

[0029] The processor may include one or more processing units. For example, the processor may include a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a field-programmable gate array (FPGA), a neural network processor (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, and the like. Among them, different processing units may be independent components or integrated into one or more processors. In some instances, the electronic device may also include one or more processors.

[0030] The memory may be configured to store a computer program, such as a computer program corresponding to the method for handling a power distribution network fault in an embodiment of the present invention, and the processor implements the above-mentioned method for handling a power distribution network fault by running the computer program stored in the memory. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely disposed relative to the processor, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0031] The communication device is configured to receive or send data via a network. The above-mentioned specific examples of the network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the communication device includes a network adapter (network interface controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the communication device can be a radio frequency (radio frequency, RF) module, which is configured to communicate with the Internet wirelessly. In some embodiments of the present solution, the communication device is configured to be connected to a mobile device such as a mobile phone, a tablet, and instructions can be sent to the electronic device through the mobile device.

[0032] The display device may be a touch screen type liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display may enable a user to interact with a user interface of the electronic device. In some embodiments, the electronic device has a graphical user interface (GUI), and a user may interact with the GUI by touching a finger release and / or gestures on a touch-sensitive surface, and executable instructions configured to perform the above-mentioned human-computer interaction functions are configured / stored in a computer program product or a readable storage medium executable by one or more processors.

[0033] Figure 1 is a flow chart of a method for handling a distribution network fault according to one embodiment of the present invention. Figure 1 As shown, the following steps are included:

[0034] Step S101, configuring multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one to one to the multiple data acquisition interfaces.

[0035] Step S102: acquiring distribution network operation data based on the data acquisition interface.

[0036] Step S103: determining fault data according to the distribution network operation data.

[0037] Step S104: locate the fault point according to the fault data, and handle the fault according to a preset strategy.

[0038] In an embodiment of the present invention, multiple data acquisition interfaces are configured for multiple data sources, wherein the multiple data sources correspond to the multiple data acquisition interfaces one by one; based on the data acquisition interfaces, the distribution network operation data is obtained; based on the distribution network operation data, the fault data is determined; based on the fault data, the fault point is located, and the fault is processed according to a preset strategy. By integrating and analyzing the fault data information collected from each data source, it is possible to fuse multi-source data information, locate the fault source more accurately, reduce misjudgment and missed judgment, and solve the technical problem that the traditional distribution network fault processing method usually uses a single-point algorithm to locate the fault, resulting in a limited scope of adaptability of the algorithm and an inability to accurately locate the specific fault source.

[0039] Optionally, the multiple data sources include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

[0040] Optionally, based on the data acquisition interface, the distribution network operation data is obtained, including: based on the acquisition interface, using the acquisition unit, the distribution network operation data is obtained in real time, wherein the acquisition unit includes a 16-bit independent AD, the sampling frequency is 12.8 kHz, and the acquisition accuracy is 0.5 level.

[0041] Optionally, the fault data is determined based on the distribution network operation data, including: using a preset distribution network multi-parameter information analysis and processing algorithm to analyze and process the distribution network operation data to extract the fault data.

[0042] Optionally, locating the fault point according to the fault data includes: determining the fault source according to the fault data; and determining the fault point location according to the fault source using a preset multi-point joint decision algorithm.

[0043] Optionally, the fault is processed according to a preset strategy, including: determining the fault source corresponding to the fault point location; in response to the fault source corresponding to the fault point location being a distribution network automation management system, using a first preset strategy to process the fault; or, in response to the fault source corresponding to the fault point location being non-distribution network automation management system, using a second preset strategy to process the fault.

[0044] Specifically, the first preset strategy and the second preset strategy are included in the preset strategy.

[0045] Based on the above description of the embodiment, the present invention is specifically implemented as follows:

[0046] The DMS distribution automation management system, power consumption information collection system and GIS geographic information management system in the distribution network are used as data sources of multi-source information. These data sources provide various information on the operation of the distribution network, including equipment status, fault alarm and geographic information.

[0047] The DMS distribution automation management system provides real-time operation data and status information of the distribution network. The power consumption information collection system collects users' power consumption data, which helps to analyze the impact of faults on users. The GIS geographic information management system provides geographical location information of the distribution network, which helps to quickly locate the fault point.

[0048] According to different data sources, different interface programs are equipped. The parameters of the line body and the environment are monitored in real time through the comprehensive monitoring device. The acquisition unit with a sampling frequency of 12.8kHz, a measurement error of 0.5 level and a 16-bit independent AD is used to collect data in real time. The required power grid structure fault data information is called in real time through service calls.

[0049] By using an acquisition unit with a sampling frequency of 12.8kHz, a measurement error of 0.5 levels, and a 16-bit independent AD to collect data in real time, the fidelity of the sampled data can be improved, high-precision data sampling can be achieved, and the required power grid structure fault data information can be called in real time through service calls, realizing the sharing of fault data information and providing data support for subsequent steps.

[0050] The collection unit has remote communication capability and can communicate directly with the collection unit with edge computing capability, which solves the problem of low online rate of traditional fault indicators caused by unreliable solar power supply of the collection unit, and effectively reduces the workload of installation and operation and maintenance. The edge computing capability of the collection unit can expand the application scope of the fault indicator, including but not limited to insulation defect early warning function, phase loss fault analysis and positioning based on three-phase imbalance data, composite fault analysis based on fault recording data, and line loss estimation function based on wide-area synchronized phase current and phase voltage, changing passive repair to active maintenance, improving the system's fault defense capability, solving the problem of limited application of fault indicators, and easy to use.

[0051] Insulation defect early warning function: Based on the multi-dimensional analysis of disturbance and instantaneous grounding data, the duration of grounding fault is judged, which can solve the problem that ordinary fault indicators cannot identify the duration of grounding faults, filter and record accidental disturbances or instantaneous grounding, realize the evaluation of line health status, and achieve insulation defect early warning function. It can provide permanent grounding fault location information or insulation defect early warning information with early warning function to the front-line operation and maintenance personnel, changing passive repair to active maintenance.

[0052] Function of composite fault analysis based on fault recording data: Distributed recording function based on wide area synchronization can retrieve wide area synchronization (same absolute time scale) recording data of the same section of bus at the same time according to preset recording start conditions when any device on the same section of bus meets the start conditions, thus realizing distributed recording function of distribution network line status monitoring.

[0053] The aggregation unit supports edge computing capabilities and can judge distribution network faults on-site. Each bus section only requires one bus aggregation unit (edge ​​computing unit), which not only realizes on-site fault judgment (based on bus units), but also simplifies the interface with the distribution automation master station, solving the problem of unclear division of labor between the two.

[0054] The parameters of the line body and the environment include but are not limited to conductor current, conductor temperature, ambient temperature, ambient humidity, images, and videos. The comprehensive monitoring device includes four sets of online power-taking image and multi-parameter fusion monitoring devices, and images and data are sent back to the main station for information analysis and processing. The device's built-in pan-tilt head and camera can capture pictures at regular intervals and upload them to the back-end system. At the same time, the pan-tilt head can also be remotely controlled to view changes in transmission lines, towers and surrounding environments through high-definition video.

[0055] The wire current monitoring can monitor the wire current overload in real time, and has automatic acquisition function and remote control acquisition function, and can realize the purpose of current overload monitoring through analysis and calculation;

[0056] Conductor temperature, ambient temperature and ambient humidity monitoring can monitor conductor temperature and ambient temperature and humidity in real time, and transmit data to the backend system or third-party platform, and realize conductor temperature monitoring and conductor capacity evaluation according to ambient temperature and humidity and conductor temperature;

[0057] The integrated monitoring device's built-in pan / tilt head and camera can capture images at regular intervals and upload them to the back-end system. The pan / tilt head can also be remotely controlled to view changes in transmission lines, poles and surrounding environments through high-definition video to ensure the reliable operation of distribution lines.

[0058] Based on the distribution network multi-parameter information analysis and processing algorithm, the collection unit is used to integrate and analyze the fault data information collected from various data sources. It can fuse multi-source data information, locate the fault source more accurately, reduce misjudgment and missed judgment, and match the fault model according to the characteristics of the fault data information.

[0059] According to the fault source found by fault model matching, the fault point on the distribution transformer power supply path is calculated through the fault location module, and the fault is located using the multi-point joint judgment + multi-algorithm comprehensive positioning method.

[0060] Fault location is performed using the method of multi-point joint judgment + multi-algorithm comprehensive positioning: the system obtains high-precision wide-area synchronous three-phase current data and zero-sequence voltage data and synthesized zero-sequence current data of each point on the same section of the busbar, which can make full use of the multi-point wide-area information of the differences between the upstream and downstream of the fault point in the grounding fault, and the differences between the fault line and the non-fault line. It also uses various fault location algorithms that combine zero-sequence current, zero-sequence voltage, and three-phase current for multi-point joint and multi-algorithm comprehensive judgment and positioning, which ensures the accuracy of grounding fault location. The relative comparison of multi-point joint solves the problem that the absolute threshold of the single-point algorithm is difficult to adjust, making the algorithm more adaptable and improving the accuracy of fault location in scenarios such as high-resistance faults. When a fault occurs in the distribution network, it can accurately and timely locate the specific fault source and make corresponding processing, providing auxiliary decision-making functions for fault repair management, which is conducive to the rapid promotion of the construction of distribution network automation.

[0061] The fault location module includes a real-time monitoring unit, a fault location model object unit and a fault judgment unit. The fault judgment unit finds the fault source, queries the repair object from the fault location model object unit, and calculates the fault point on the distribution transformer power supply path in real time based on the real-time data information of the repair object.

[0062] According to the location of the fault point, determine whether the fault source belongs to the distribution network automation management system fault. If it does, use the conventional fault handling process to isolate and handle the fault in sequence. If it does not, first publish and evaluate the fault information, and then handle the fault.

[0063] It should be noted that, when the present invention is implemented, a distribution line fault monitoring and locating device is configured near the substation switch, and a total of 12 sets of line fault monitoring devices * 3 phases = 36 are installed, and 2 sets of zero-sequence voltage monitoring devices at the substation end, namely 2 bus sections, are installed. The zero-sequence voltage mutation is used as the start condition for grounding fault recording, and the devices are synchronized over a wide area to establish an algorithm for the distribution network wide-area distributed fault recording and locating technology: a "twin" system is established outside the distribution automation system, and fault judgment iterative training is performed, and data docking with the feeder automation and distribution automation systems is considered. After the training and trial operation are suitable, the algorithm is embedded in the distribution automation system. This method handles distribution network faults under different neutral point grounding methods of the substation. Different grounding methods of the substation include ungrounded method, low resistance grounding method, arc suppression coil grounding method and low resistance arc suppression coil combined grounding method. The distribution network faults of various grounding methods are provided with theoretical judgment basis and solutions.

[0064] The distribution line fault monitoring and locating equipment uses the zero-sequence voltage mutation as the starting condition for ground fault recording. The devices are widely synchronized and the startup is reliable, which completely solves the problem of false operation caused by external changes in the electric field. It can also form a closed loop with the dispatcher. The single-group three-phase synchronization has high accuracy and small synthetic zero-sequence current error. Different groups are synchronized to eliminate the phase difference problem of different groups from the root, improve the accuracy of multi-point joint judgment, establish the algorithm of distribution network wide-area distributed fault recording and locating technology and embed it into the distribution automation system, realize the difference and complementarity of feeder automation and distribution automation, and complete the connection between the recording system and distribution automation.

[0065] It can be understood that the present invention has the following technical effects:

[0066] 1. By using a collection unit with a sampling frequency of 12.8kHz, a measurement error of 0.5 level, and a 16-bit independent AD to collect data in real time, the fidelity of the sampled data can be improved and high-precision data sampling can be achieved. At the same time, the collection unit has remote communication capabilities and can communicate directly with the collection unit with edge computing capabilities, solving the problem of low online rate of traditional fault indicators caused by unreliable solar power supply of the collection unit, and effectively reducing the workload of installation and operation and maintenance.

[0067] 2. The edge computing capability of the aggregation unit can expand the application scope of the fault indicator, such as insulation defect warning function, phase loss fault analysis and positioning based on three-phase imbalance data, composite fault analysis based on fault recording data (for example, two-line short circuit through the ground), and line loss estimation based on wide-area synchronization of phase current and phase voltage (provided by the busbar aggregation unit), which can change passive repair to active maintenance, improve the system's fault defense capability, solve the problem of limited application of fault indicators, and make it easy to use.

[0068] 3. By using the method of multi-point joint judgment + multi-algorithm comprehensive positioning to locate faults, we can make full use of the multi-point wide-area information of the differences between the upstream and downstream of the fault point in the grounding fault, and the differences between the fault line and the non-fault line, to ensure the accuracy of grounding fault positioning. The relative comparison of multi-point joint solves the problem that the absolute threshold of the single-point algorithm is difficult to adjust, making the algorithm more adaptable and improving the accuracy of fault positioning in scenarios such as high-resistance faults. When a fault occurs in the distribution network, it can accurately and timely locate the specific fault source and make corresponding processing, providing auxiliary decision-making functions for fault repair management, which is conducive to the rapid promotion of the construction of distribution network automation.

[0069] 4. By using the collection unit based on the distribution network multi-parameter information analysis and processing algorithm to integrate and analyze the fault data information collected from various data sources, it is possible to fuse multi-source data information, locate the fault source more accurately, and reduce misjudgment and missed judgment.

[0070] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0071] In this embodiment, a distribution network fault processing system is also provided, which is configured to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" is a combination of software and / or hardware that can implement a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0072] Figure 2is a structural block diagram of a distribution network fault processing system 200 according to one embodiment of the present invention. Figure 2 As shown, a distribution network fault processing system 200 is taken as an example, including: a configuration module 201, used to configure multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one-to-one to the multiple data acquisition interfaces; an acquisition module 202, used to acquire distribution network operation data based on the data acquisition interface; a determination module 203, used to determine fault data based on the distribution network operation data; a processing module 204, used to locate the fault point based on the fault data, and process the fault according to a preset strategy.

[0073] Optionally, the multiple data sources in the configuration module 201 include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

[0074] Optionally, the acquisition module 202 is further used to: based on the acquisition interface, use the acquisition unit to acquire the distribution network operation data in real time, wherein the acquisition unit includes a 16-bit independent AD, the sampling frequency is 12.8 kHz, and the acquisition accuracy is 0.5 level.

[0075] Optionally, the determination module 203 is further used to: analyze and process the distribution network operation data using a preset distribution network multi-parameter information analysis and processing algorithm to extract fault data.

[0076] Optionally, the processing module 204 is further used to: determine the fault source according to the fault data; and determine the fault point location according to the fault source using a preset multi-point joint decision algorithm.

[0077] Optionally, the processing module 204 is also used to: determine the fault source corresponding to the fault point location; in response to the fault source corresponding to the fault point location being a distribution network automation management system, use a first preset strategy to process the fault; or, in response to the fault source corresponding to the fault point location being non-distribution network automation management system, use a second preset strategy to process the fault.

[0078] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the distribution network fault processing method described in any of the above embodiments.

[0079] Optionally, in this embodiment, the processor in the above electronic device may be configured to run a computer program to perform the following steps:

[0080] Step S101, configuring multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one to one to the multiple data acquisition interfaces.

[0081] Step S102: acquiring distribution network operation data based on the data acquisition interface.

[0082] Step S103: determining fault data according to the distribution network operation data.

[0083] Step S104: locate the fault point according to the fault data, and handle the fault according to a preset strategy.

[0084] Optionally, the multiple data sources include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

[0085] Optionally, based on the data acquisition interface, the distribution network operation data is obtained, including: based on the acquisition interface, using the acquisition unit, the distribution network operation data is obtained in real time, wherein the acquisition unit includes a 16-bit independent AD, the sampling frequency is 12.8 kHz, and the acquisition accuracy is 0.5 level.

[0086] Optionally, the fault data is determined based on the distribution network operation data, including: using a preset distribution network multi-parameter information analysis and processing algorithm to analyze and process the distribution network operation data to extract the fault data.

[0087] Optionally, locating the fault point according to the fault data includes: determining the fault source according to the fault data; and determining the fault point location according to the fault source using a preset multi-point joint decision algorithm.

[0088] Optionally, the fault is processed according to a preset strategy, including: determining the fault source corresponding to the fault point location; in response to the fault source corresponding to the fault point location being a distribution network automation management system, using a first preset strategy to process the fault; or, in response to the fault source corresponding to the fault point location being non-distribution network automation management system, using a second preset strategy to process the fault.

[0089] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0090] An embodiment of the present invention further provides a non-volatile storage medium, in which a computer program is stored, wherein the computer program is configured to execute the distribution network fault handling method described in any of the above embodiments when running on a computer or a processor.

[0091] Optionally, in this embodiment, the computer program may be configured to store a computer program configured to perform the following steps:

[0092] Step S101, configuring multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one to one to the multiple data acquisition interfaces.

[0093] Step S102: acquiring distribution network operation data based on the data acquisition interface.

[0094] Step S103: determining fault data according to the distribution network operation data.

[0095] Step S104: locate the fault point according to the fault data, and handle the fault according to a preset strategy.

[0096] Optionally, the multiple data sources include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

[0097] Optionally, based on the data acquisition interface, the distribution network operation data is obtained, including: based on the acquisition interface, using the acquisition unit, the distribution network operation data is obtained in real time, wherein the acquisition unit includes a 16-bit independent AD, the sampling frequency is 12.8 kHz, and the acquisition accuracy is 0.5 level.

[0098] Optionally, the fault data is determined based on the distribution network operation data, including: using a preset distribution network multi-parameter information analysis and processing algorithm to analyze and process the distribution network operation data to extract the fault data.

[0099] Optionally, locating the fault point according to the fault data includes: determining the fault source according to the fault data; and determining the fault point location according to the fault source using a preset multi-point joint decision algorithm.

[0100] Optionally, the fault is processed according to a preset strategy, including: determining the fault source corresponding to the fault point location; in response to the fault source corresponding to the fault point location being a distribution network automation management system, using a first preset strategy to process the fault; or, in response to the fault source corresponding to the fault point location being non-distribution network automation management system, using a second preset strategy to process the fault.

[0101] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0102] An embodiment of the present invention further provides a computer program product, including a computer program, and when the computer program is executed by a processor, the method for handling a distribution network fault described in any of the above embodiments is implemented.

[0103] Optionally, in this embodiment, the above computer program implements the following steps when executed by a processor:

[0104] Step S101, configuring multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one to one to the multiple data acquisition interfaces.

[0105] Step S102: acquiring distribution network operation data based on the data acquisition interface.

[0106] Step S103: determining fault data according to the distribution network operation data.

[0107] Step S104: locate the fault point according to the fault data, and handle the fault according to a preset strategy.

[0108] Optionally, the multiple data sources include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

[0109] Optionally, based on the data acquisition interface, the distribution network operation data is obtained, including: based on the acquisition interface, using the acquisition unit, the distribution network operation data is obtained in real time, wherein the acquisition unit includes a 16-bit independent AD, the sampling frequency is 12.8 kHz, and the acquisition accuracy is 0.5 level.

[0110] Optionally, the fault data is determined based on the distribution network operation data, including: using a preset distribution network multi-parameter information analysis and processing algorithm to analyze and process the distribution network operation data to extract the fault data.

[0111] Optionally, locating the fault point according to the fault data includes: determining the fault source according to the fault data; and determining the fault point location according to the fault source using a preset multi-point joint decision algorithm.

[0112] Optionally, the fault is processed according to a preset strategy, including: determining the fault source corresponding to the fault point location; in response to the fault source corresponding to the fault point location being a distribution network automation management system, using a first preset strategy to process the fault; or, in response to the fault source corresponding to the fault point location being non-distribution network automation management system, using a second preset strategy to process the fault.

[0113] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] In some embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the modules can be a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, modules or indirect coupling or communication connection of modules, which can be electrical or other forms.

[0115] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0116] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.

[0117] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0118] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for handling distribution network faults, characterized in that: include: Configuring multiple data acquisition interfaces for multiple data sources, wherein the multiple data sources correspond one to one to the multiple data acquisition interfaces; Based on the data acquisition interface, obtaining distribution network operation data; Determining fault data according to the distribution network operation data; The fault point is located according to the fault data, and the fault is processed according to a preset strategy.

2. The method for handling distribution network faults according to claim 1, characterized in that: The multiple data sources include a DMS distribution automation management system, a power consumption information collection system, and a GIS geographic information management system.

3. The method for handling distribution network faults according to claim 1, characterized in that: The obtaining of distribution network operation data based on the data acquisition interface includes: Based on the acquisition interface, the distribution network operation data is acquired in real time using an acquisition unit, wherein the acquisition unit includes a 16-bit independent AD, a sampling frequency of 12.8 kHz, and an acquisition accuracy of 0.

5.

4. The method for handling distribution network faults according to claim 1, characterized in that: The determining of fault data according to the distribution network operation data includes: The distribution network operation data is analyzed and processed using a preset distribution network multi-parameter information analysis and processing algorithm to extract the fault data.

5. The method for handling distribution network faults according to claim 1, characterized in that: The locating the fault point according to the fault data includes: Determining a fault source according to the fault data; According to the fault source, the fault point location is determined using a preset multi-point joint decision algorithm.

6. The method for handling distribution network faults according to claim 1, characterized in that: The processing of the fault according to the preset strategy includes: Determine the fault source corresponding to the fault point location; In response to the fault source corresponding to the fault point location being a distribution network automation management system, the fault is processed using a first preset strategy; or, In response to the fault source corresponding to the fault point location being a non-distribution network automation management system, the fault is processed using a second preset strategy.

7. A distribution network fault processing system, characterized in that: include: A configuration module, configured to configure a plurality of data acquisition interfaces for a plurality of data sources, wherein the plurality of data sources correspond one to one to the plurality of data acquisition interfaces; An acquisition module, used for acquiring distribution network operation data based on the data acquisition interface; A determination module, used to determine fault data according to the distribution network operation data; The processing module is used to locate the fault point according to the fault data and process the fault according to a preset strategy.

8. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the distribution network fault processing method described in any one of claims 1 to 6.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a computer program, wherein the computer program is configured to execute the distribution network fault processing method described in any one of claims 1 to 6 when running on a computer or a processor.

10. A computer program product, characterized in that The method comprises a computer program, which, when executed by a processor, implements the method for handling distribution network faults according to any one of claims 1 to 6.

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