Fault determination method and device for power distribution network, equipment, medium and product

Abstract

The invention discloses a power distribution network fault determination method and device, equipment, a medium and a product, and relates to the technical field of power distribution network fault diagnos.The method comprises the steps that when a fault diagnosis instruction of a power distribution network is received, initial operation information of the power distribution network is obtained, and the initial operation information comprises initial environment information and / or initial working parameters; the initial environment information and / or the initial working parameters are / is processed through a preset data processing rule, target operation information of the power distribution network is obtained, and the target operation information comprises target environment information and / or target working parameters; and processing the target environment information and / or the target working parameters by using a preset index evaluation rule to obtain a fault diagnosis result of the power distribution network. According to the invention, whether the power distribution network has a fault can be determined rapidly, accurately and intelligently, the power distribution network fault diagnosis time is shortened, and the influence of the power distribution network fault on the power system of a power consumer is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network fault diagnosis, and in particular to a distribution network fault determination method, device, equipment, medium and product. Background Art

[0002] The normal operation of the distribution network is of great significance to ensuring the power quality of power users and the safety of the power grid system. Once a distribution network fails and the line fault cannot be diagnosed or handled in time, it will affect the normal life of residents and even cause the entire power system to fail or be paralyzed, resulting in huge losses in personnel and production.

[0003] At present, the fault diagnosis method of distribution network is to obtain the network data of distribution network and then analyze the network data one by one by technicians to determine whether there is a fault in the distribution network. However, with the development of energy and power systems, the grid connection of renewable energy and the access of power equipment, the network topology of distribution network is becoming more and more complex. In order to ensure the power quality of power users and the safety of power grid system, the fault diagnosis efficiency and quality of distribution network are crucial. Therefore, designing a fast and accurate distribution network fault diagnosis method is an urgent problem to be solved in the power field. Summary of the invention

[0004] The present invention provides a distribution network fault determination method, device, equipment, medium and product, and designs a fast and accurate distribution network fault diagnosis method, which can quickly, accurately and intelligently determine whether there is a fault in the distribution network, shorten the distribution network fault diagnosis time, and reduce the impact of distribution network faults on the power system of power users.

[0005] According to one aspect of the present invention, a method for determining a fault in a distribution network is provided, the method comprising:

[0006] Upon receiving a fault diagnosis indication of the distribution network, obtaining initial operation information of the distribution network, wherein the initial operation information includes initial environment information and / or initial operating parameters;

[0007] Using a preset data processing rule, the initial environment information and / or the initial operating parameters are processed to obtain target operating information of the distribution network, wherein the target operating information includes target environment information and / or target operating parameters;

[0008] The target environment information and / or target working parameters are processed using the pre-set index evaluation rules to obtain the fault diagnosis results of the distribution network.

[0009] Optionally, obtaining initial operating information of the distribution network includes at least one of the following: using an information collection device deployed on the distribution network to determine initial environmental information and / or initial operating parameters, wherein the information collection device includes at least one temperature collector, at least one humidity collector, at least one light intensity collector, at least one voltage collector and at least one current collector, and the deployment positions of the collectors in the information collection device do not overlap; using an information collection interface to obtain initial environmental information and / or initial operating parameters from a remote server or a cloud server of the distribution network.

[0010] Optionally, the pre-set data processing rules include missing value processing rules, data type conversion rules, duplicate value processing rules and abnormal data processing rules; the pre-set data processing rules are used to process the initial environmental information and / or initial working parameters to obtain target operation information of the distribution network, including: using the missing value processing rules to process the initial environmental information and / or initial working parameters to obtain first intermediate environmental information and / or first intermediate working parameters; using the data type conversion rules to process the first intermediate environmental information and / or first intermediate working parameters to obtain second intermediate environmental information and / or second intermediate working parameters; using the duplicate value processing rules to process the second intermediate environmental information and / or second intermediate working parameters to obtain third intermediate environmental information and / or third intermediate working parameters; using the abnormal data processing rules to process the third intermediate environmental information and / or third intermediate working parameters to obtain target environmental information and / or target working parameters.

[0011] Optionally, the indicator assessment rules include a parameter qualified range, at least one abnormal identification information and a parameter range of at least one abnormal identification information. The target environmental information and / or target operating parameters are processed using pre-set indicator assessment rules to obtain a fault diagnosis result of the distribution network, including: determining whether the target environmental information and the target operating parameters meet normal operating conditions, wherein the parameter qualified range includes an environmental information qualified range and an operating parameter qualified range, and the normal operating condition is that the target environmental information satisfies the environmental information qualified range and the target operating parameters satisfy the operating parameter qualified range; if the target environmental information and the target operating parameters meet the normal operating conditions, then the fault diagnosis result is determined to be that the distribution station has no operating fault; if the target environmental information and / or the target operating parameters do not meet the normal operating conditions, then the fault diagnosis result of the distribution network is determined based on the information that does not meet the normal operating conditions, at least one abnormal identification information and the parameter range of at least one abnormal identification information.

[0012] Optionally, the abnormal identification information includes an environmental abnormality identification and an operation abnormality identification, and the fault diagnosis result of the distribution network is determined based on the information that does not meet the normal operating conditions, at least one abnormal identification information and the parameter range of at least one abnormal identification information, including: determining whether the information that does not meet the normal operating conditions is the target environmental information; if the information that does not meet the normal operating conditions is the target environmental information, then based on the target environmental information, the environmental abnormality identification and the parameter range of the environmental abnormality identification, the fault diagnosis result of the distribution network is determined; if the information that does not meet the normal operating conditions is the target working parameter, then based on the target working parameter, the operation abnormality identification and the parameter range of the operation abnormality identification, the fault diagnosis result of the distribution network is determined.

[0013] Optionally, after obtaining the fault diagnosis result of the distribution network, it also includes: determining whether the fault diagnosis result indicates that there is an equipment abnormality in the distribution network; if the fault diagnosis result indicates that there is an equipment abnormality in the distribution network, determining the abnormality type information of the distribution network, determining the fault adjustment plan of the distribution network based on the abnormality type information, and adjusting the network topology of the distribution network based on the fault adjustment plan to maintain the normal operation of the distribution network; wherein the abnormality type information includes transformer fault and / or distribution room fault.

[0014] According to another aspect of the present invention, a distribution network fault determination device is provided. The distribution network fault determination device is used to implement the distribution network fault determination method in any embodiment of the present invention. The device includes:

[0015] An acquisition module, configured to acquire initial operation information of the distribution network upon receiving a fault diagnosis indication of the distribution network, wherein the initial operation information includes initial environment information and / or initial operating parameters;

[0016] A determination module, used to process the initial environment information and / or the initial operating parameters using a preset data processing rule to obtain target operating information of the distribution network, wherein the target operating information includes target environment information and / or target operating parameters;

[0017] The diagnosis module is used to process the target environmental information and / or target operating parameters using pre-set indicator evaluation rules to obtain the fault diagnosis result of the distribution network.

[0018] According to another aspect of the present invention, there is provided an electronic device, the electronic device comprising:

[0019] at least one processor; and a memory communicatively coupled to the at least one processor;

[0020] The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor so that the at least one processor can execute the fault determination method of the distribution network in any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for implementing the method for determining a fault in a distribution network in any embodiment of the present invention when executed by a processor.

[0022] According to another aspect of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the method for determining a fault in a distribution network according to any embodiment of the present invention is implemented.

[0023] The fault determination method of the distribution network of the present invention comprises: upon receiving the fault diagnosis indication of the distribution network, obtaining the initial operation information of the distribution network, wherein the initial operation information includes initial environment information and / or initial working parameters; using the pre-set data processing rules, processing the initial environment information and / or initial working parameters to obtain the target operation information of the distribution network, wherein the target operation information includes target environment information and / or target working parameters; using the pre-set index evaluation rules, processing the target environment information and / or target working parameters to obtain the fault diagnosis result of the distribution network. The technical scheme of the present invention designs a fast and accurate distribution network fault diagnosis method, obtains the initial operation information of the distribution network regularly or irregularly, processes it using the pre-set data processing rules, reduces the data processing amount, improves the fault diagnosis efficiency, and uses the pre-set index evaluation rules to analyze the processed data to obtain the fault diagnosis result of the distribution network, does not need to rely on human resources, and the fault diagnosis work has a high degree of intelligence and automation, and achieves the purpose of quickly, accurately and intelligently determining whether there is a fault in the distribution network, shortens the distribution network fault diagnosis time, and reduces the impact of the distribution network fault on the power system of the power user.

[0024] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the present invention, the accompanying drawings required for use 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 ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0026] Figure 1 It is a flow chart of a method for determining a fault in a distribution network provided by the present invention;

[0027] Figure 2 It is a structural schematic diagram of a fault determination device for a distribution network provided by the present invention;

[0028] Figure 3 It is a structural schematic diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings 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.

[0030] It should be noted that the terms "first", "second", "target", "initial", "candidate", "intermediate", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present 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.

[0031] Figure 1 This is a flow chart of a method for determining a fault in a distribution network provided by the present invention. This embodiment can be applied to automatically, quickly, efficiently and intelligently determine the fault information of the distribution network. The method can be executed by the fault determination device for the distribution network provided by the present invention. The device can be implemented in the form of hardware and / or software. In a specific embodiment, the device can be integrated in an electronic device. The following embodiments will be described by taking the device integrated in an electronic device as an example. Figure 1 , the method specifically comprises the following steps:

[0032] S101. Upon receiving a fault diagnosis indication of a distribution network, initial operation information of the distribution network is obtained.

[0033] Among them, the fault diagnosis indication is used to instruct the relay protection system of the distribution network (the execution device of the fault determination method) to start the fault diagnosis work. The fault diagnosis indication can be issued regularly, for example, a fault diagnosis indication is issued every x minutes to ensure the operation safety of the distribution network, or it can be triggered when the power system needs to be repaired, that is, when the power worker has any distribution network detection needs, a fault diagnosis indication can be issued to start the fault diagnosis work of the distribution network. The initial operation information can be understood as the instantaneous operation parameters of the distribution network obtained when the fault diagnosis indication of the distribution network is received, or the operation parameters of the distribution network in the time period from a certain moment before the current moment to the current moment, which is used to determine whether the distribution network is in a stable operation state. Specifically, the initial operation information includes initial environmental information and / or initial working parameters. The initial environmental information can be understood as the environmental parameters of the environment in which the distribution network is located, including but not limited to humidity, temperature, light intensity and light time. The initial working parameters can be understood as the grid parameters of the distribution network, including but not limited to power quality information such as current, voltage, frequency, harmonics and voltage fluctuations in the grid.

[0034] The advantage of this setting is that the real-time data of the distribution network can be obtained regularly or irregularly, ensuring the real-time nature of the fault diagnosis results of the distribution network.

[0035] The present invention monitors power quality information such as current, voltage, frequency, harmonics and voltage fluctuations in the power grid, and can quickly identify and locate faults in power equipment. For example, through data analysis and algorithm processing, it can provide early warning of potential problems in the distribution network, take timely measures to adjust and optimize, prevent power outages or accidents caused by equipment failures, and ensure the stability and reliability of power supply.

[0036] Optionally, obtaining initial operating information of the distribution network includes at least one of the following: using an information collection device deployed on the distribution network to determine initial environmental information and / or initial operating parameters, the information collection device including at least one temperature collector, at least one humidity collector, at least one light intensity collector, at least one voltage collector and at least one current collector, and the deployment positions of the collectors in the information collection device do not overlap; using an information collection interface to obtain initial environmental information and / or initial operating parameters from a remote server or a cloud server of the distribution network.

[0037] The distribution network is a relatively large power supply system. In order to monitor the environmental information of the distribution network, information collectors can be deployed in advance at multiple representative or key locations of the distribution network to obtain information that can represent the environmental parameters of the entire distribution network. The information collection interface can be understood as an interface on the execution device of the fault determination method that interacts with an external server. It can obtain information stored on a remote server or cloud server, and can also send diagnostic data stored on the device to a remote server or cloud server. The remote server or cloud server can be understood as a comprehensive management terminal or central management terminal for distribution network information, which stores a variety of information or can obtain public environmental data at the location through the Internet.

[0038] On the one hand, the present invention can use Python library to communicate with the information collector to complete data collection, and the specific implementation process is: import RPi.GPIO as GPIO; import time; #initialize GPIO; GPIO.setmode(GPIO.BCM); GPIO.setup(sensor_pin,GPIO.IN); #read sensor data; sensor_value=GPIO.input(sensor_pin). On the other hand, the present invention can use Python's request library (requests) to send an application programming interface (Application Programming Interface, API, i.e., the information collection interface of the present invention) to call and process response data, and the specific implementation process is: import requests; url='https: / / api.example.com / data'; response=requests.get(url); data=response.json().

[0039] The present invention provides two data acquisition methods, which can ensure the comprehensiveness of the acquired data as much as possible. If there are multiple copies of the same data, they can be processed through methods such as average value and difference analysis to obtain representative data. The amount of data is reduced while ensuring the comprehensiveness of the data, thereby reducing the workload of the execution equipment of the fault diagnosis work.

[0040] S102: using pre-set data processing rules, processing the initial environmental information and / or initial operating parameters to obtain target operation information of the distribution network.

[0041] Among them, the target operation information includes target environment information and / or target working parameters, the target operation information is the processed initial operation information, and the target working parameters are the processed initial working parameters. The pre-set data processing rules are the processing methods of the initial operation information, which are used to ensure the integrity, representativeness and uniformity of the data for executing the fault diagnosis work, further reduce the workload and difficulty of the execution equipment of the fault diagnosis work, and improve the efficiency and quality of the fault diagnosis work. Specifically, the pre-set data processing rules include data missing value processing rules, data type conversion rules, duplicate value processing rules and abnormal data processing rules. The data missing value processing rules are used to process the missing values ​​in the initial operation information, including the missing value marking scheme, the missing value supplement scheme, the missing value deletion scheme, etc. The data type conversion rules are used to convert the type of the initial operation information and convert it into a unified format to facilitate the processor (i.e., the execution equipment of the fault diagnosis work) to process the data. The duplicate value processing rules are used to delete the duplicate data in the initial operation information and reduce the data volume of the initial operation data. The abnormal data processing rules are used to process the abnormal values ​​in the initial operation information, including the abnormal value marking scheme, the abnormal value adjustment scheme, the abnormal value deletion scheme, etc.

[0042] It is worth noting that the present invention does not limit the processing order of the initial operation data, and only requires that the publishing operation data traverse the above four processes.

[0043] In one embodiment, S102 may specifically include: using missing value processing rules to process initial environmental information and / or initial working parameters to obtain first intermediate environmental information and / or first intermediate working parameters; using data type conversion rules to process first intermediate environmental information and / or first intermediate working parameters to obtain second intermediate environmental information and / or second intermediate working parameters; using repeated value processing rules to process second intermediate environmental information and / or second intermediate working parameters to obtain third intermediate environmental information and / or third intermediate working parameters; using abnormal data processing rules to process third intermediate environmental information and / or third intermediate working parameters to obtain target environmental information and / or target working parameters.

[0044] Among them, the first intermediate environment information can be understood as the initial environment information after processing such as missing value marking, missing value supplementation or missing value deletion, and the first intermediate working information can be understood as the initial working information after processing such as missing value marking, missing value supplementation or missing value deletion; the second intermediate environment information can be understood as the first intermediate environment information after type conversion processing, and the second intermediate working information can be understood as the first intermediate working information after type conversion processing; the third intermediate environment information can be understood as the second intermediate environment information after deduplication processing, and the third intermediate working information can be understood as the second intermediate working information after deduplication processing; the target environment information can be understood as the third intermediate environment information after processing such as outlier marking, outlier adjustment or outlier deletion, and the target working information can be understood as the third intermediate working information after processing such as outlier marking, outlier adjustment or outlier deletion.

[0045] Specifically, the data type conversion can be: df_cleaned['numeric_column'] = pd.to_numeric(df_cleaned['numeric_column']). Checking and processing missing values ​​can be: df_cleaned = df.dropna(). Furthermore, assuming that the data type conversion rule is to convert data into DataFrame, the data conversion operation can be: df = pd.DataFrame(data).

[0046] The present invention can also perform statistics and aggregation on data to assist the processor in fault diagnosis. The statistical operation can be: mean_value = df_cleaned ['numeric_column'].mean() and / or std_deviation = df_cleaned ['numeric_column'].std(), and the aggregation operation can be: grouped_data = df_cleaned.groupby ('category') ['numeric_column'].mean().

[0047] It is worth noting that the present invention can also summarize, count and draw data to achieve data visualization, so as to intuitively understand the statistical data and data change trends. Drawing includes but is not limited to drawing bar graphs, drawing line graphs and drawing scatter graphs. Taking bar graphs as an example, the drawing operations can be: plt.bar(grouped_data.index,grouped_data.values); plt.xlabel('Category'); plt.ylabel('Average Numeric Column'); plt.title('Average Numeric Column by Category'); plt.xticks(rotation=45); plt.show().

[0048] Secondly, the processed data of each step of the present invention can be saved as a file or output to the console for further use or reporting. The specific implementation process of saving the processed data to a CSV file is: df_cleaned.to_csv('processed_data.csv',index=False). The specific implementation process of outputting the analysis results is: print(f"mean value: {mean_value}, standard deviation: {std_deviation}"). The present invention can also perform appropriate exception handling and error checking during data acquisition and processing to improve the robustness and reliability of the code. Exception handling and error checking include but are not limited to handling network request errors and API response exceptions.

[0049] Exemplarily, the specific process of writing a CSV file may be: with open('data.csv','w',newline="")as csvfile; writer=csv.writer(csvfile); writer.writerow(['Name','Age']); writer.writerow(['Alice',25]). The specific process of reading a CSV file may be: with open('data.csv','r')as csvfile; reader=csv.reader(csvfile); for row in reader; print(row).

[0050] S103: Using pre-set index evaluation rules, the target environmental information and / or the target operating parameters are processed to obtain a fault diagnosis result of the distribution network.

[0051] The pre-set indicator evaluation rules can be understood as the basis for judging whether there are abnormalities in the target operation information. When there are abnormalities in the target operation information, it means that there is a fault in the distribution network. When there is no abnormality in the target operation information, it means that there is no safety problem in the distribution network for the time being. The fault diagnosis result can be understood as the detection result of the distribution network, for example, there is no abnormality in the distribution network, there is an abnormality in the distribution network and the abnormality is A abnormality, there is an abnormality in the distribution network and the abnormality is B abnormality, etc. This embodiment does not limit this.

[0052] Specifically, the index evaluation rules include a parameter qualified range, at least one abnormal identification information and a parameter range of at least one abnormal identification information. The parameter qualified range is the collection of all possible operation information generated in the normal operation state, the abnormal identification information can be understood as the attribute information of the abnormality, which is used to distinguish different types of abnormalities, and the parameter range of the abnormal identification information is the collection of all operation information that can be generated by the abnormality of this type.

[0053] Assume that the target operating information is the ambient temperature, the parameter qualified range is -5℃~40℃, and the abnormal identification information includes the distribution room fault and the transformer fault. The parameter range of the transformer fault is the operating temperature exceeding 105℃, and the parameter range of the distribution room fault is the temperature below 105℃ except -5℃~40℃. For example, if the ambient temperature is 30℃, it proves that there is no abnormality in the distribution network. If the ambient temperature is 150℃, it proves that there is a transformer fault in the distribution network. If the ambient temperature is 60℃, it proves that there is a distribution room fault in the distribution network. The advantage of this setting is that the fault can be located quickly so that the corresponding treatment plan can be implemented in time.

[0054] In one embodiment, when the target operation information includes two types of information, environmental information and operating parameters, the fault diagnosis result of the substation is determined by comparing layer by layer. S103 may specifically include: determining whether the target environmental information and the target operating parameters meet the normal operating conditions, wherein the parameter qualified range includes the environmental information qualified range and the operating parameter qualified range, and the normal operating condition is that the target environmental information meets the environmental information qualified range and the target operating parameters meet the operating parameter qualified range; if the target environmental information and the target operating parameters meet the normal operating conditions, then determining the fault diagnosis result is that the distribution station has no operating fault; if the target environmental information and / or the target operating parameters do not meet the normal operating conditions, then determining the fault diagnosis result of the distribution network based on the information that does not meet the normal operating conditions, at least one abnormal identification information and the parameter range of at least one abnormal identification information.

[0055] The qualified range of environmental information includes but is not limited to the qualified range of temperature, the qualified range of humidity, the qualified range of illumination time and the qualified range of illumination intensity; the qualified range of working parameters includes but is not limited to the qualified range of voltage, the qualified range of current and the qualified range of frequency.

[0056] Specifically, the abnormal identification information includes an environmental abnormality identification and an operational abnormality identification, the environmental abnormality identification is an abnormality type in the environmental information, and the operational abnormality identification is an abnormality type in the working parameters. Based on the information that does not meet the normal operating conditions, at least one abnormal identification information, and the parameter range of at least one abnormal identification information, the fault diagnosis result of the distribution network is determined, including: determining whether the information that does not meet the normal operating conditions is the target environmental information; if the information that does not meet the normal operating conditions is the target environmental information, the fault diagnosis result of the distribution network is determined based on the target environmental information, the environmental abnormality identification, and the parameter range of the environmental abnormality identification; if the information that does not meet the normal operating conditions is the target working parameter, the fault diagnosis result of the distribution network is determined based on the target working parameter, the operational abnormality identification, and the parameter range of the operational abnormality identification.

[0057] The advantage of this setting is that it can classify abnormal data, process each abnormal data in a targeted manner, reduce the workload of the processor, improve data processing efficiency, and detect and locate faults more quickly and accurately, which helps to minimize the impact of faults on power grid operations and reduce power outage time.

[0058] After determining that there is a fault in the distribution network, the present invention can use predefined rules or machine learning models to make decisions, send abnormal data to maintenance personnel through email, text messages or control devices, and the abnormal data may include abnormal causes and preliminary solutions to speed up the fault handling plan. The maintenance personnel can also remotely control the device to perform processing actions. Secondly, the present invention can also trigger the abnormal handling plan through email, text messages or control devices, and automatically handle the abnormalities. For example, by automatically disconnecting the circuit or adjusting the power flow, other parts are protected from being affected, thereby minimizing the scope of the fault and the loss; reconfiguring the power grid load to maximize the reliability and stability of the power supply. Specifically, the timing, action priority and action type (such as instantaneous action, timed action, etc.) of the protection action will be considered when making decisions, so as to formulate a more reasonable and targeted fault solution for the distribution network. Secondly, the present invention can also analyze historical data, predict power demand trends, and provide intelligent decision support for the operation and management of the distribution network, such as optimizing power distribution, reducing energy consumption and improving power grid efficiency. The present invention supports linkage with other smart grid technologies and equipment, such as linkage with smart metering systems, remote monitoring systems, etc., to achieve a higher level of collaborative operation and resource optimization.

[0059] Optionally, after obtaining the fault diagnosis results of the distribution network, the present invention also includes: determining whether the fault diagnosis results indicate that there is an equipment abnormality in the distribution network; if the fault diagnosis results indicate that there is an equipment abnormality in the distribution network, determining the abnormality type information of the distribution network, determining a fault adjustment plan for the distribution network based on the abnormality type information, and adjusting the network topology of the distribution network based on the fault adjustment plan to maintain the normal operation of the distribution network.

[0060] The abnormal type information includes transformer failure and / or distribution room failure.

[0061] Different types of abnormalities have different processing plans. The present invention can set up processing plans for various types of faults in advance, so as to quickly screen fault adjustment plans, reduce fault handling time, and reduce the impact of faults on the distribution network. Assume that a distribution room fault corresponds to switching the standby distribution room, a first type of transformer fault corresponds to switching the standby transformer, a second type of transformer fault corresponds to switching the standby line, a third type of transformer fault corresponds to cutting off the working transformer, and a working line fault corresponds to cutting off the faulty line and connecting the two cut-off ends. The fault handling plan for the distribution network can be quickly obtained according to the fault type. Exemplarily, if the abnormal type information is a second type of transformer fault, the fault adjustment plan is to switch the standby line. If the abnormal type information is a distribution room fault, the fault adjustment plan is to switch the standby distribution room.

[0062] The fault diagnosis method of the present invention can be applied in the fields of industrial power grids, commercial buildings, residential areas, renewable energy systems, agriculture, rural power grids and urban power grids. The specific description is as follows: 1) When applied in the industrial field, it can effectively monitor and protect large industrial equipment and production lines, can quickly detect faults in power equipment, avoid production interruptions, and ensure the stable operation of production lines. 2) The power distribution system of commercial buildings has high requirements for power quality and reliability. When applied in the field of commercial buildings, it can monitor the power load and power quality of commercial buildings in real time to ensure the safe operation of equipment and energy efficiency optimization. 3) When applied in residential areas, it can improve the stability and safety of the power grid, monitor and protect household power equipment, prevent power failures, and ensure the quality of life of residents. 4) When applied in the field of renewable energy such as solar energy and wind energy, it can monitor the access and operation status of renewable energy in real time to ensure the stability and safety of the power system. 5) When applied in the agricultural and rural fields, it can help optimize the power supply of agricultural production equipment and improve the efficiency and sustainability of agricultural production. 6) When applied in the urban power grid, it can quickly respond to abnormal conditions in the power grid and protect the normal operation of urban infrastructure and residents' lives. It is an important technical means to ensure the safety and stability of urban power supply.

[0063] The technical solution of this embodiment designs a fast and accurate distribution network fault diagnosis method, which obtains the initial operation information of the distribution network at regular or irregular intervals, processes it using pre-set data processing rules, reduces the data processing volume, improves fault diagnosis efficiency, and analyzes the processed data using pre-set indicator evaluation rules to obtain the fault diagnosis results of the distribution network. It does not require the help of human resources, and the fault diagnosis work has a high degree of intelligence and automation, which achieves the purpose of quickly, accurately and intelligently determining whether there is a fault in the distribution network, shortens the distribution network fault diagnosis time, and reduces the impact of distribution network faults on the power system of power users.

[0064] Figure 2 FIG. 1 is a schematic diagram of a structure of a fault determination device for a distribution network provided by the present invention. Figure 2 As shown, the device includes: an acquisition module 201, a determination module 202 and a diagnosis module 203.

[0065] The acquisition module 201 is used to acquire initial operation information of the distribution network when receiving a fault diagnosis indication of the distribution network, wherein the initial operation information includes initial environment information and / or initial working parameters.

[0066] The determination module 202 is used to process the initial environment information and / or the initial operating parameters using a preset data processing rule to obtain target operating information of the distribution network, wherein the target operating information includes target environment information and / or target operating parameters.

[0067] The diagnosis module 203 is used to process the target environment information and / or the target working parameters using the preset index evaluation rules to obtain the fault diagnosis result of the distribution network.

[0068] Optionally, the acquisition module 201 is specifically used to determine the initial environmental information and / or initial operating parameters using an information collection device deployed on the distribution network, wherein the information collection device includes at least one temperature collector, at least one humidity collector, at least one light intensity collector, at least one voltage collector and at least one current collector, and the deployment positions of the collectors in the information collection device do not overlap; and / or, using an information collection interface, to obtain the initial environmental information and / or initial operating parameters from a remote server or a cloud server of the distribution network.

[0069] Optionally, pre-set data processing rules include missing value processing rules, data type conversion rules, duplicate value processing rules and abnormal data processing rules.

[0070] Optionally, the determination module 202 is specifically used to use the missing value processing rules to process the initial environmental information and / or the initial working parameters to obtain the first intermediate environmental information and / or the first intermediate working parameters; use the data type conversion rules to process the first intermediate environmental information and / or the first intermediate working parameters to obtain the second intermediate environmental information and / or the second intermediate working parameters; use the repeated value processing rules to process the second intermediate environmental information and / or the second intermediate working parameters to obtain the third intermediate environmental information and / or the third intermediate working parameters; use the abnormal data processing rules to process the third intermediate environmental information and / or the third intermediate working parameters to obtain the target environmental information and / or the target working parameters.

[0071] Optionally, the indicator evaluation rules include a parameter qualified range, at least one abnormal identification information and a parameter range of at least one abnormal identification information, and the abnormal identification information includes an environmental abnormality identification and an operational abnormality identification.

[0072] Optionally, the diagnostic module 203 is specifically used to determine whether the target environmental information and the target operating parameters meet the normal operating conditions, wherein the parameter qualified range includes the environmental information qualified range and the operating parameter qualified range, and the normal operating condition is that the target environmental information satisfies the environmental information qualified range and the target operating parameters satisfy the working parameter qualified range; if the target environmental information and the target operating parameters meet the normal operating conditions, then the fault diagnosis result is determined to be that the distribution station has no operating fault; if the target environmental information and / or the target operating parameters do not meet the normal operating conditions, then the fault diagnosis result of the distribution network is determined based on the information that does not meet the normal operating conditions, at least one abnormal identification information and the parameter range of at least one abnormal identification information.

[0073] Optionally, the diagnostic module 203 is specifically used to determine whether the information that does not meet the normal operating conditions is the target environment information; if the information that does not meet the normal operating conditions is the target environment information, the fault diagnosis result of the distribution network is determined based on the target environment information, the environmental anomaly identification and the parameter range of the environmental anomaly identification; if the information that does not meet the normal operating conditions is the target operating parameter, the fault diagnosis result of the distribution network is determined based on the target operating parameter, the operating anomaly identification and the parameter range of the operating anomaly identification.

[0074] Optionally, the diagnostic module 203 is also used to determine, after obtaining the fault diagnosis result of the distribution network, whether the fault diagnosis result indicates that there is an equipment abnormality in the distribution network; if the fault diagnosis result indicates that there is an equipment abnormality in the distribution network, determine the abnormality type information of the distribution network, determine the fault adjustment plan of the distribution network based on the abnormality type information, and adjust the network topology of the distribution network based on the fault adjustment plan to maintain the normal operation of the distribution network; wherein the abnormality type information includes transformer fault and / or distribution room fault.

[0075] The distribution network fault determination device provided in this embodiment can execute the distribution network fault determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0076] Figure 3 : is a schematic diagram of the structure of an electronic device provided by the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0077] like Figure 3 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (also called random access memory, RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, ROM 12 and RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0078] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0079] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as a fault determination method for a distribution network.

[0080] In some embodiments, the fault determination method of the distribution network may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the fault determination method of the distribution network described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the fault determination method of the distribution network by any other appropriate means (e.g., by means of firmware).

[0081] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0082] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0083] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, device, or equipment. A computer-readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0084] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0085] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server) or a computing system that includes middleware components (e.g., an application server) or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein) or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0086] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0087] In one embodiment, the present invention further includes a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the method for determining a fault in a distribution network according to any embodiment of the present invention is implemented.

[0088] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code of the present invention, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0089] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0090] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining a fault in a distribution network, characterized in that: include: Upon receiving a fault diagnosis indication of the distribution network, obtaining initial operation information of the distribution network, wherein the initial operation information includes initial environment information and / or initial operating parameters; Using a preset data processing rule, the initial environment information and / or the initial operating parameters are processed to obtain target operating information of the distribution network, wherein the target operating information includes target environment information and / or target operating parameters; The target environmental information and / or the target operating parameters are processed using pre-set indicator evaluation rules to obtain a fault diagnosis result of the distribution network.

2. The method according to claim 1, characterized in that The obtaining of the initial operation information of the distribution network includes at least one of the following: Determine the initial environmental information and / or initial operating parameters by using an information collection device deployed on the distribution network, wherein the information collection device includes at least one temperature collector, at least one humidity collector, at least one light intensity collector, at least one voltage collector and at least one current collector, and the deployment positions of the collectors in the information collection device do not overlap; The initial environment information and / or initial operating parameters are obtained from a remote server or a cloud server of the power distribution network using an information collection interface.

3. The method according to claim 1, characterized in that The pre-set data processing rules include data missing value processing rules, data type conversion rules, duplicate value processing rules and abnormal data processing rules; The using of the preset data processing rules to process the initial environment information and / or the initial working parameters to obtain the target operation information of the distribution network includes: Processing the initial environment information and / or the initial operating parameters using the missing value processing rule to obtain first intermediate environment information and / or first intermediate operating parameters; Processing the first intermediate environment information and / or the first intermediate working parameter by using the data type conversion rule to obtain second intermediate environment information and / or second intermediate working parameter; Processing the second intermediate environment information and / or the second intermediate working parameter by using the repeated value processing rule to obtain third intermediate environment information and / or third intermediate working parameter; The third intermediate environment information and / or the third intermediate operating parameter are processed using the abnormal data processing rule to obtain the target environment information and / or the target operating parameter.

4. The method according to claim 1, characterized in that: The indicator evaluation rule includes a parameter qualified range, at least one abnormal identification information and a parameter range of the at least one abnormal identification information. The target environment information and / or the target working parameter are processed by using the preset indicator evaluation rule to obtain the fault diagnosis result of the distribution network, including: Determine whether the target environment information and the target operating parameters meet normal operating conditions, wherein the parameter qualified range includes an environment information qualified range and an operating parameter qualified range, and the normal operating condition is that the target environment information meets the environment information qualified range and the target operating parameters meet the operating parameter qualified range; If the target environment information and the target operating parameters meet the normal operating conditions, determining that the fault diagnosis result is that the power distribution station has no operating fault; If the target environmental information and / or the target operating parameters do not meet the normal operating conditions, the fault diagnosis result of the distribution network is determined based on the information that does not meet the normal operating conditions, at least one abnormal identification information and the parameter range of the at least one abnormal identification information.

5. The method according to claim 4, characterized in that The abnormal identification information includes an environmental abnormality identification and an operation abnormality identification, and the determining of the fault diagnosis result of the distribution network based on the information not meeting the normal operating conditions, at least one abnormal identification information and a parameter range of the at least one abnormal identification information includes: Determining whether the information that does not meet the normal operating conditions is the target environment information; If the information that does not meet the normal operating conditions is the target environment information, determining a fault diagnosis result of the distribution network based on the target environment information, the environment abnormality identifier and a parameter range of the environment abnormality identifier; If the information that does not meet the normal operating conditions is the target operating parameter, the fault diagnosis result of the distribution network is determined based on the target operating parameter, the abnormal operation flag and the parameter range of the abnormal operation flag.

6. The method according to claim 1, characterized in that After obtaining the fault diagnosis result of the distribution network, the method further includes: Determining whether the fault diagnosis result indicates that there is an equipment abnormality in the distribution network; If the fault diagnosis result indicates that there is an equipment abnormality in the distribution network, determining the abnormality type information of the distribution network, determining a fault adjustment plan for the distribution network based on the abnormality type information, and adjusting the network topology of the distribution network based on the fault adjustment plan to maintain the normal operation of the distribution network; The abnormal type information includes transformer failure and / or distribution room failure.

7. A fault determination device for a distribution network, characterized in that: A method for determining a fault in a distribution network according to any one of claims 1 to 6, wherein the device for determining a fault in a distribution network comprises: An acquisition module, configured to acquire initial operation information of the distribution network upon receiving a fault diagnosis indication of the distribution network, wherein the initial operation information includes initial environment information and / or initial operating parameters; A determination module, configured to process the initial environment information and / or the initial operating parameters using a preset data processing rule to obtain target operating information of the distribution network, wherein the target operating information includes target environment information and / or target operating parameters; The diagnosis module is used to process the target environmental information and / or the target operating parameters using pre-set indicator evaluation rules to obtain a fault diagnosis result of the distribution network.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the fault determination method for the distribution network described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the fault determination method for a distribution network as described in any one of claims 1 to 6 when executed.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the computer program implements the fault determination method for a power distribution network according to any one of claims 1 to 6.

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