Fault early warning system, method and device for state judgment of distribution network equipment

Abstract

The invention provides a fault early warning system, method and device for state judgment of distribution network equipment, and the system comprises a data collection module which is used for collecting an overcurrent signal and a zero sequence signal on a distribution network line; the data processing module is used for preprocessing the collected signals through a preset data processing program; the data analysis module is used for identifying the preprocessed signals through a preset information analysis program and classifying the identified abnormal signals to obtain a final analysis result; and the fault early warning module is used for generating corresponding fault early warning information according to the analysis result. According to the invention, the abnormal signals, mainly including overcurrent and zero-sequence (zero-current) signals, on the whole line of the cable are collected, and the abnormal signals are analyzed, so that the cable fault is warned in advance; and timely reminding of equipment fault early warning and accurate fault positioning are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power system automation, and in particular to a fault early warning system, method and device for judging the status of distribution network equipment. Background Art

[0002] With the acceleration of urbanization, the scale of distribution networks continues to expand, and the number of devices is increasing dramatically. Traditional operation and maintenance methods are no longer able to meet the O&M needs of modern distribution networks. This is particularly true when it comes to equipment tripping and fault handling. Traditional O&M methods are inefficient and make it difficult to detect and address potential faults in a timely manner. In recent years, the development of big data analysis and artificial intelligence technologies has made it possible to collect and analyze secondary signals from distribution networks and provide early warning of equipment failures. Summary of the Invention

[0003] The purpose of the present invention is to propose a fault warning system, method and device for judging the status of distribution network equipment, so as to solve the technical problems of untimely equipment fault warning and inaccurate fault location in the existing distribution network operation and maintenance.

[0004] On the one hand, a fault warning system for judging the status of distribution network equipment is provided, including:

[0005] Data acquisition module, used to collect overcurrent signals and zero-sequence signals on the distribution network lines;

[0006] A data processing module, configured to pre-process the collected signals using a preset data processing program, wherein the pre-processing includes at least filtering and denoising;

[0007] The data analysis module is used to identify the pre-processed signals through a preset information analysis program, classify the identified abnormal signals, and obtain the final analysis results;

[0008] The fault warning module is used to generate corresponding fault warning information according to the analysis results, wherein the warning information at least includes the fault type, location and expected fault time.

[0009] Preferably, the data analysis module is specifically used to count the identified abnormal signals and determine whether the same type of abnormal signal continues to appear for multiple consecutive days based on the statistical results. If so, it is determined that there is a potential fault at the location corresponding to the abnormal signal and the corresponding alarm information is output.

[0010] Preferably, the data analysis module is specifically used to detect whether there is a switch action when the identified signal is sent, and determine the reliability result of the identified signal according to the detection result, if the determined reliability result does not meet the preset requirements.

[0011] Preferably, the fault warning module is specifically used to statistically generate fault warning information and determine a corresponding warning level according to the statistical results.

[0012] Preferably, the warning levels include at least:

[0013] Primary alarm: If an alarm message is counted within a preset time, it indicates that attention should be paid and investigation should be carried out in conjunction with inspection work;

[0014] Serious alarm: if two to four alarm messages are counted within the preset time, it indicates that special attention is needed and power outage and inspection will be carried out within one week;

[0015] Emergency alarm: if more than five alarms are counted within the preset time, the power should be cut off immediately for inspection.

[0016] Preferably, it further includes an interaction module for receiving input interaction instructions and outputting corresponding warning information and historical data.

[0017] On the other hand, a fault warning method for judging the status of distribution network equipment is also provided, which is implemented by the fault warning system for judging the status of distribution network equipment, including:

[0018] Collect overcurrent signals and zero-sequence signals on distribution network lines;

[0019] Preprocessing the collected signals through a preset data processing program, wherein the preprocessing includes at least filtering and denoising;

[0020] The pre-processed signals are identified through a preset information analysis program, and the identified abnormal signals are classified to obtain the final analysis results;

[0021] Corresponding fault warning information is generated according to the analysis results, wherein the warning information at least includes the fault type, location and expected fault time.

[0022] On the other hand, a fault warning device for judging the status of distribution network equipment is also provided, and the status of distribution network equipment is monitored by the fault warning system for judging the status of distribution network equipment.

[0023] In summary, the implementation of the embodiments of the present invention has the following beneficial effects:

[0024] The fault warning system, method and device for judging the status of distribution network equipment provided by the present invention collect abnormal signals on the entire cable line, mainly overcurrent and zero-sequence (zero current) signals, and analyze the abnormal signals to provide early warning of cable faults, thereby achieving timely reminders of equipment fault warnings and accurate fault location. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, without paying any creative work, other drawings obtained based on these drawings still fall within the scope of the present invention.

[0026] Figure 1 Schematic diagram of a fault warning system for determining the status of distribution network equipment according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be described in further detail below with reference to the accompanying drawings.

[0028] like Figure 1 FIG. 1 is a schematic diagram of an embodiment of a fault warning system for determining the status of distribution network equipment provided by the present invention. In this embodiment, the system includes:

[0029] The data acquisition module collects overcurrent and zero-sequence signals from distribution network lines. The data processing module preprocesses the collected signals using a preset data processing program, where the preprocessing includes at least filtering and denoising. The data analysis module identifies the preprocessed signals using a preset information analysis program and classifies any identified abnormal signals to obtain final analysis results. The fault warning module generates corresponding fault warning information based on the analysis results, where the warning information includes at least the fault type, location, and expected failure time. The interaction module receives input interaction commands and outputs corresponding warning information and historical data. The data acquisition module collects overcurrent and zero-sequence signals from distribution network lines. These signals are transmitted to the central processing unit via the OCS system. The data processing module preprocesses the collected signals, including filtering and denoising, to ensure data accuracy. The data analysis module analyzes the processed signals, identifies abnormal signals, and classifies them. The fault warning module generates fault warning information based on the analysis results. User interface module: provides a user-friendly interface to display warning information and historical data, making it convenient for operation and maintenance personnel to view and operate.

[0030] In an embodiment, the data analysis module is specifically configured to collect statistics on the identified abnormal signals and determine, based on the statistical results, whether the same type of abnormal signal has occurred continuously over multiple consecutive days. If so, it is determined that a potential fault exists at the location corresponding to the abnormal signal and a corresponding alarm message is output. The data analysis module is specifically configured to detect whether a switch action occurs when the identified signal is emitted and, based on the detection results, determine the reliability of the identified signal. If the determined reliability result does not meet the preset requirements, the system will automatically generate an alarm.

[0031] In an embodiment, the fault warning module is specifically configured to collect statistics on the generated fault warning information and determine a corresponding warning level based on the statistical results. The warning levels include at least a primary warning level (if one alarm is counted within a preset time period, attention should be paid and an investigation should be conducted in conjunction with patrol work); a severe warning level (if two to four alarms are counted within a preset time period, attention should be paid and a power outage should be performed within a week for inspection); and an emergency warning level (if five or more alarms are counted within a preset time period, an immediate power outage should be performed for inspection).

[0032] Specific implementations also include: a hardware optimization unit to increase data processing speed and shorten processing time; an algorithm optimization unit to optimize algorithms and technically eliminate false alarms; and a positioning function development unit to develop a defect point location function to pinpoint faults to specific intervals. Hardware support enhancement: Increase data processing speed and shorten processing time. Algorithm optimization: Invite distribution network experts to optimize algorithms and technically eliminate false alarms. Positioning function development: Develop a defect point location function to pinpoint faults to specific intervals.

[0033] An embodiment of the present invention further provides a fault warning method for determining the state of a distribution network device, which is implemented by the fault warning system for determining the state of a distribution network device, comprising:

[0034] Step S1, collecting overcurrent signals and zero-sequence signals on the distribution network line;

[0035] Step S2, preprocessing the collected signal through a preset data processing program, wherein the preprocessing includes at least filtering and denoising;

[0036] Step S3: Identify the pre-processed signals through a preset information analysis program, and classify the identified abnormal signals to obtain the final analysis results;

[0037] Step S4: Generate corresponding fault warning information according to the analysis result, wherein the warning information at least includes the fault type, location and expected fault time.

[0038] An embodiment of the present invention further provides a fault warning device for judging the status of a distribution network device, and the status of the distribution network device is monitored by the fault warning system for judging the status of the distribution network device.

[0039] In summary, the implementation of the embodiments of the present invention has the following beneficial effects:

[0040] The fault warning system, method and device for judging the status of distribution network equipment provided by the present invention collect abnormal signals on the entire cable line, mainly overcurrent and zero-sequence (zero current) signals, and analyze the abnormal signals to provide early warning of cable faults, thereby achieving timely reminders of equipment fault warnings and accurate fault location.

[0041] The above disclosure is merely a preferred embodiment of the present invention and certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A fault warning system for judging the status of distribution network equipment, characterized in that: include: Data acquisition module, used to collect overcurrent signals and zero-sequence signals on the distribution network lines; A data processing module, configured to pre-process the collected signals using a preset data processing program, wherein the pre-processing includes at least filtering and denoising; The data analysis module is used to identify the pre-processed signals through a preset information analysis program, classify the identified abnormal signals, and obtain the final analysis results; The fault warning module is used to generate corresponding fault warning information according to the analysis results, wherein the warning information at least includes the fault type, location and expected fault time.

2. The system according to claim 1, wherein The data analysis module is specifically used to count the abnormal signals identified and determine whether the same type of abnormal signal continues to appear for multiple consecutive days based on the statistical results. If so, it is determined that there is a potential fault at the location corresponding to the abnormal signal and the corresponding alarm information is output.

3. The system according to claim 1, wherein: The data analysis module is specifically used to detect whether there is a switch action when the identified signal is sent, and determine the reliability result of the identified signal based on the detection result, if the determined reliability result does not meet the preset requirements.

4. The system according to claim 1, wherein: The fault warning module is specifically used to statistically generate fault warning information and determine a corresponding warning level according to the statistical results.

5. The system according to claim 4, wherein: The warning levels include at least: Primary alarm: If an alarm message is counted within a preset time, it indicates that attention should be paid and investigation should be carried out in conjunction with inspection work; Serious alarm: if two to four alarm messages are counted within the preset time, it indicates that special attention is needed and power outage and inspection will be carried out within one week; Emergency alarm: if more than five alarms are counted within the preset time, the power should be cut off immediately for inspection.

6. The system according to claim 1, wherein: It also includes an interaction module for receiving input interaction instructions and outputting corresponding warning information and historical data.

7. A fault warning method for determining the status of a distribution network device, implemented by the system according to any one of claims 1 to 6, characterized in that: include, Collect overcurrent signals and zero-sequence signals on distribution network lines; Preprocessing the collected signals through a preset data processing program, wherein the preprocessing includes at least filtering and denoising; The pre-processed signals are identified through a preset information analysis program, and the identified abnormal signals are classified to obtain the final analysis results; Corresponding fault warning information is generated according to the analysis results, wherein the warning information at least includes the fault type, location and expected fault time.

8. A fault warning device for judging the status of distribution network equipment, characterized in that: The status of the distribution network equipment is monitored by the fault warning system for judging the status of the distribution network equipment as described in any one of claims 1 to 6.

Images