Current transformer anti-short circuit capability checking method, device, equipment and medium
By automatically reading and parsing the original data files of CT, extracting key performance indicators and checking them according to preset rules, the problem of difficult CT short-circuit resistance in the existing technology is solved, and efficient and accurate CT short-circuit resistance assessment and management is achieved.
Patent Information
- Application Number
- CN202510051578.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-13
- Publication Date
- 2025-06-06
AI Technical Summary
The prior art is difficult to effectively evaluate and manage the short-circuit resistance of current transformers (CTs), which makes it difficult to carry out the CT's short-circuit resistance verification work in power grids below 110kV and below, and it is impossible to systematically manage the CT's saturation and relay protection fixed value operation risks.
Provide a method for proofreading anti-short circuit capability of the current transformer, including reading the original data file of the CT, analyzing and extracting key performance indicators, checking according to preset calibration rules, and generating a proofreading anti-short circuit capability evaluation report.
By automatically reading and parsing CT's original data files, reducing manual intervention, improving the speed and efficiency of data processing, ensuring the accuracy and consistency of calibration results, thereby improving the evaluation and management efficiency of CT's short-circuit resistance.
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Figure CN120106040A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of power systems, and in particular to a method, device, equipment and medium for calibrating the short-circuit resistance capability of a current transformer. Background Art
[0002] With the rapid development of power systems and the large-scale access to new energy sources, the short-circuit level of power grids has continued to increase, which has put forward higher requirements on the rapid response capabilities of primary equipment in power grids, especially protection devices. In power systems, current transformers (CTs) are an important part of protection devices. Their main function is to accurately transmit and transform short-circuit currents when short-circuit faults occur, so that the protection device can quickly cut off the faulty part, thereby ensuring the safe and stable operation of the power grid.
[0003] However, under the existing technical conditions, the short-circuit resistance of CTs is often not effectively evaluated and managed. Especially in power grids of 110kV and below, protection devices account for the vast majority of protection devices in the power grid, and some of these devices are already old. In addition, the asynchronous transformation of distribution network equipment has led to a wide variety of equipment in the same substation and a lack of systematic management of key parameters. These factors make it difficult to uniformly and timely carry out the verification of CT's short-circuit resistance, making it impossible to systematically manage CT saturation and potential relay protection setting operation risks.
[0004] In actual operation, the verification of CT short-circuit resistance mainly relies on manual combined with equipment inspection, which is not only time-consuming and labor-intensive, but also has a high error rate due to the intervention of human factors. In addition, most of the existing verification methods can only verify the saturation of CT, while the assessment of the operation risk of relay protection setting value requires additional large amounts of manual verification work, which undoubtedly increases the workload and complexity.
[0005] The preceding description is intended to provide general background information and does not necessarily constitute prior art. Summary of the invention
[0006] In response to the above technical problems, the present application provides a method, device, equipment and medium for calibrating the short-circuit resistance capability of a current transformer, which solves the problem that the existing technology relies on manual calibration, resulting in a large workload and a high error rate, and improves the efficiency and accuracy of the short-circuit resistance capability calibration of the current transformer.
[0007] In order to solve the above technical problems, the present application provides a method for calibrating the short-circuit resistance capability of a current transformer, comprising the following steps:
[0008] Read the original data file of the current transformer to be calibrated;
[0009] Parsing the original data file to extract key performance indicators;
[0010] According to the preset verification rules, the key performance indicators are verified to obtain corresponding verification results;
[0011] Based on the verification result, a short-circuit capability assessment report of the current transformer to be verified is generated.
[0012] Further, in some embodiments of the present application, the reading of the original data file of the current transformer to be calibrated includes:
[0013] Obtain the original data file of the nuclear current transformer to be inspected;
[0014] Identify the format information of the original data file;
[0015] The file reading software corresponding to the format information is called to read the device data in the original data file.
[0016] Furthermore, in some embodiments of the present application, the raw data file is parsed to extract key performance indicators, including:
[0017] Positioning key information of the original data file to obtain a positioning result;
[0018] Based on the positioning result, extracting original key performance indicator data in the original data file;
[0019] The original key performance indicator data is preprocessed to obtain key performance indicators.
[0020] Furthermore, in some embodiments of the present application, the key performance indicators are calibrated according to preset calibration rules to obtain corresponding calibration results, including:
[0021] Determine the short-circuit current level of each interval based on the acquired short-circuit current data of each interval in the power grid;
[0022] Based on the key performance indicators, matching the current transformer to be calibrated with the short-circuit current level of the corresponding interval to obtain a matching result;
[0023] The short-circuit resistance capability of the current transformer to be calibrated is calibrated based on the key performance indicator and the matching result to obtain a calibration result.
[0024] Further, in some embodiments of the present application, generating a short-circuit capability assessment report of the current transformer to be calibrated based on the calibration result includes:
[0025] Summarizing the matching results and the calibration results of all current transformers to be calibrated;
[0026] Based on the matching result and the calibration result, a performance analysis is performed on the current transformer to be calibrated to obtain a performance analysis result;
[0027] Based on the performance analysis results, a corresponding short-circuit resistance evaluation report is generated.
[0028] Furthermore, in some embodiments of the present application, after obtaining the performance analysis result, the method further includes:
[0029] If it is detected that the risk level in the performance analysis result corresponding to any of the current transformers to be calibrated is verification, extracting the key performance indicators corresponding to the current transformers to be calibrated;
[0030] Compare and analyze the key performance indicators corresponding to the current transformer to be calibrated with the setting values of the protection device to obtain the comparison results;
[0031] Based on the comparison result, judging whether the current transformer to be calibrated meets the setting requirements;
[0032] After determining that the current transformer to be calibrated does not meet the setting requirements, the setting value of the protection device is calibrated or the current transformer to be calibrated is adjusted.
[0033] Furthermore, in some embodiments of the present application, after generating the corresponding short-circuit resistance capability evaluation report, the method further includes:
[0034] Conduct risk assessment on the circuit transformers to be verified that do not meet the safety standards in the short-circuit resistance capacity assessment report, and obtain risk assessment results;
[0035] generating early warning information based on the risk assessment results;
[0036] The warning information is pushed to the smart mobile terminal of the preset user for early warning prompt.
[0037] Accordingly, the present application also provides a current transformer short-circuit resistance verification device, comprising:
[0038] A file reading module, used to read the original data file of the current transformer to be calibrated;
[0039] A file parsing module, used to parse the original data file and extract key performance indicators;
[0040] A data verification module is used to verify the key performance indicators according to preset verification rules to obtain corresponding verification results;
[0041] A report generation module is used to generate a short-circuit resistance evaluation report of the current transformer to be calibrated based on the calibration result.
[0042] The present application also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the current transformer short-circuit capability calibration method as described above are implemented.
[0043] The present application also provides a storage medium storing a computer program that can be loaded by a processor and execute the method for calibrating the short-circuit resistance capability of a current transformer as described above.
[0044] Implementing the embodiments of the present application has the following beneficial effects:
[0045] As described above, the present application provides a method, device, equipment and medium for verifying the short-circuit resistance of a current transformer. The method for verifying the short-circuit resistance of a current transformer includes: first, reading the original data file of the current transformer to be verified; then, parsing the original data file and extracting key performance indicators; then, verifying the key performance indicators according to preset verification rules to obtain corresponding verification results; finally, based on the verification results, generating an evaluation report on the short-circuit resistance of the current transformer to be verified. The short-circuit resistance verification scheme of the current transformer provided by the present application greatly reduces manual intervention and improves the speed and efficiency of data processing by automatically reading and parsing the original data files of the current transformer; automatically extracting key performance indicators reduces the possibility of human errors, improves the accuracy of data, and provides a reliable data basis for subsequent verification work; and systematically verifies the key performance indicators of the CT using preset verification rules to ensure the accuracy and consistency of the verification results. It can be seen that the present application can improve the verification efficiency and accuracy, thereby improving the reliability of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments are briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor.
[0047] Figure 1 It is a schematic diagram of an application scenario of the method for verifying the short-circuit resistance capability of a current transformer provided in an embodiment of the present application;
[0048] Figure 2 It is a flow chart of a method for verifying the short-circuit resistance capability of a current transformer provided in an embodiment of the present application;
[0049] Figure 3 It is a schematic diagram of program functions provided in an embodiment of the present application;
[0050] Figure 4 is a schematic diagram of a file reading interface provided in an embodiment of the present application;
[0051] Figure 5 is a schematic diagram of information extraction provided by an embodiment of the present application;
[0052] Figure 6 is a schematic diagram of short-circuit current level matching provided by an embodiment of the present application;
[0053] Figure 7 Schematic diagram of short-circuit resistance verification provided by an embodiment of the present application;
[0054] Figure 8 It is a schematic diagram of the key fixed value comparison provided in the embodiment of the present application;
[0055] Fig. 9 It is a structural schematic diagram of a current transformer short-circuit resistance verification device provided in an embodiment of the present application;
[0056] Fig.10 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application.
[0057] The realization of the purpose, functional features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. The above-mentioned drawings have shown clear embodiments of this application, which will be described in more detail later. These drawings and textual descriptions are not intended to limit the scope of the concept of this application in any way, but to illustrate the concept of this application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION
[0058] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.
[0059] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.
[0060] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0061] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.
[0062] The present application provides a method, device, electronic equipment and storage medium for calibrating the short-circuit resistance capability of a current transformer.
[0063] Among them, the current transformer short-circuit resistance verification device can be specifically integrated in an electronic device, and the electronic device can be a smart phone, a tablet computer, a laptop or a desktop computer, but is not limited to this. The electronic device can be directly or indirectly connected to the server through wired or wireless communication. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. This application does not limit this.
[0064] See also Figure 1 , Figure 1 FIG. 1 is an application environment diagram of a method for verifying the short-circuit resistance of a current transformer in an embodiment. Figure 1, the current transformer short-circuit resistance verification method can be applied to the current transformer short-circuit resistance verification system. Among them, the current transformer short-circuit resistance verification system may include a terminal 110 and a server 120. The terminal 110 and the server 120 are connected through a network, and the terminal 110 can specifically be a desktop terminal or a mobile terminal, and the mobile terminal can specifically be at least one of a mobile phone, a tablet computer, a laptop computer, etc. The server 120 can be implemented with an independent server or a server cluster composed of multiple servers. The terminal 110 is used to read the original data file of the current transformer to be calibrated; parse the original data file to extract key performance indicators; calibrate the key performance indicators according to preset calibration rules to obtain corresponding calibration results; based on the calibration results, generate a short-circuit resistance evaluation report of the current transformer to be calibrated.
[0065] With the continuous development of the power grid, the construction of new power systems, and the access of a large number of new energy sources, the short-circuit level of the power grid is getting higher and higher, and the requirements for primary equipment are getting higher and higher. When a fault occurs, the requirements for the protection device to quickly cut off the fault are also getting higher and higher. The rapid cutting of the fault by the protection device is highly dependent on the accurate transmission of the short-circuit current of the CT (current transformer), which requires that the CT (current transformer) cannot be saturated when a fault occurs. If the CT (current transformer) has insufficient short-circuit resistance, the short-circuit current cannot be correctly transmitted when a fault occurs, which may cause the protection to refuse to operate, which will cause the accident to expand and seriously affect the reliability of power supply. The current technical solution is to conduct CT (current transformer) anti-saturation capability verification on-site combined with equipment inspection, which requires the equipment to be shut down or divided into intervals for gradual verification, which is time-consuming and cannot be systematically managed. At present, the verification method is mainly for CT (current transformer) anti-saturation capability verification, which is basically manual and table-based manual verification, with low efficiency and high error rate. It only verifies the saturation of the CT (current transformer), and the operation risk of the relay protection setting value needs to be further verified manually in large quantities.
[0066] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.
[0067] The present application provides a method for calibrating the short-circuit resistance capability of a current transformer, comprising: reading an original data file of a current transformer to be calibrated; parsing the original data file to extract key performance indicators; calibrating the key performance indicators according to preset calibration rules to obtain corresponding calibration results; and generating a short-circuit resistance capability evaluation report of the current transformer to be calibrated based on the calibration results.
[0068] See also Figure 2 , Figure 21 is a flow chart of a method for verifying the short-circuit resistance of a current transformer provided in an embodiment of the present application. The method for verifying the short-circuit resistance of a current transformer provided in this embodiment may specifically include the following steps:
[0069] S1. Read the original data file of the current transformer to be calibrated;
[0070] Specifically, for step S1, the original data files of CT are obtained from different data sources (such as databases, file systems, networks, etc.). These files contain technical parameters, historical maintenance records, test data, etc. of CT. The reading process needs to be able to handle multiple file formats and ensure the integrity and accuracy of the data. In addition, a user interface can be provided to allow users to manually select and upload CT data files. Automatically identify and read CT data files on the network to reduce manual intervention.
[0071] S2. parse the original data file and extract key performance indicators;
[0072] Specifically, for step S2, this step mainly analyzes the content of the original data file, identifies and extracts key performance indicators, such as the rated current, transformation ratio, accuracy level, etc. of the CT. For example, text processing technology (such as regular expressions), database query or special parsing tools are used to extract key performance indicators. Machine learning algorithms can also be applied to improve the accuracy of identifying and extracting key performance indicators. Or through an intelligent parsing system, it can adapt to data files of different formats and structures.
[0073] S3. According to the preset verification rules, the key performance indicators are verified to obtain the corresponding verification results;
[0074] Specifically, for step S3, the extracted key performance indicators are compared with preset verification rules (such as safety standards, technical specifications). The verification rules include that the rated current of the CT must be greater than a certain threshold, the accuracy level must reach a certain level, etc. A dynamic verification rule library can also be provided to allow users to update the verification rules according to the latest technical specifications.
[0075] S4. Based on the verification results, generate a short-circuit capability assessment report for the current transformer to be verified;
[0076] Specifically, for step S4, the verification results are summarized and an evaluation report is generated based on the verification. The report should include the performance analysis results, risk level and recommended measures for each CT. The report supports multiple output formats (such as PDF, Word, etc.).
[0077] It can be seen that this embodiment can improve the efficiency and accuracy of data reading, provide a reliable data basis for subsequent verification work, ensure the accurate extraction of key performance indicators, and provide precise data support for verification; enhance the flexibility and adaptability of the verification process, and ensure that the verification results meet the latest safety and technical requirements.
[0078] Furthermore, in some embodiments, step S1 “reading the original data file of the current transformer to be calibrated” may specifically include:
[0079] S11. Obtaining the original data file of the nuclear current transformer to be tested;
[0080] S12. Identify the format information of the original data file;
[0081] S13. Call the file reading software corresponding to the format information to read the device data in the original data file.
[0082] Specifically, for step S1, raw data files of CT are collected from different data sources (such as databases, file systems, networks, etc.). The format of the CT data file is automatically identified through features such as file extensions, file header information, or file content structures. According to the identified file format, a corresponding file reading module, such as an Excel reader, a text file parser, etc., is called to read the data in the file.
[0083] In addition, more file reading modules can be developed or integrated to support more types of data file formats. Monitor changes in data sources and automatically detect and read the latest CT data files.
[0084] This embodiment reduces manual intervention and improves the speed and efficiency of data processing by automatically reading CT data files of different formats; automatically identifies file formats and calls corresponding reading software, reduces data errors caused by manual operations, and improves data accuracy. Enhanced file compatibility and automatic update detection functions can adapt to changing data sources and formats, improve the adaptability and flexibility of the system; automated data reading reduces dependence on manual labor, reduces maintenance costs and human resource consumption.
[0085] Furthermore, in some embodiments, step S2 of “parsing the original data file to extract key performance indicators” may specifically include:
[0086] S21. Position key information of the original data file to obtain positioning results;
[0087] S22. Based on the positioning results, extract the original key performance indicator data in the original data file;
[0088] S23. Perform data preprocessing on the original key performance indicator data to obtain key performance indicators.
[0089] Specifically, for step S2, by analyzing the structure of the data file, the data area containing the key performance indicators of the CT is identified, including searching for specific field names, value ranges or text patterns. According to the positioning results, specific performance indicator values are extracted from the data file, such as the rated current and transformation ratio of the CT. The extracted data is cleaned and formatted, including removing invalid data, converting data formats, filling missing values, etc., to ensure the accuracy and availability of the data.
[0090] In addition, apply machine learning algorithms to improve the accuracy of identifying and extracting key performance indicators, especially for unstructured or semi-structured data. Develop automated data pre-processing processes to adapt to different data quality and formats and reduce manual intervention.
[0091] This embodiment improves the accuracy and consistency of data through effective data preprocessing, providing a reliable data basis for subsequent verification work; intelligent data analysis and automated data preprocessing improve data processing capabilities and reduce reliance on manual operations; the ability to adapt to data files of different formats and qualities improves the adaptability and flexibility of the system; automated data analysis and preprocessing reduce manual intervention, lower maintenance costs and human resource consumption; accurate data extraction and preprocessing ensure the accuracy of verification results and improve the reliability of CT short-circuit resistance assessment.
[0092] Further, in some embodiments, step S3 of "calibrating the key performance indicators according to preset calibration rules to obtain corresponding calibration results" may specifically include:
[0093] S31. Determine the short-circuit current level of each interval based on the acquired short-circuit current data of each interval in the power grid;
[0094] S32. Based on the key performance indicators, the current transformer to be checked is matched with the short-circuit current level of the corresponding interval to obtain a matching result;
[0095] S33. Based on the key performance indicators and matching results, the short-circuit resistance capability of the current transformer to be calibrated is calibrated to obtain the calibration result.
[0096] Specifically, for step S3, the short-circuit current data that may be encountered in each grid interval is obtained through grid simulation or historical data analysis, and the short-circuit current level is determined accordingly. The key performance indicators of the CT (such as rated current, accuracy level) are compared with the short-circuit current level of each interval to determine whether the CT can withstand the expected maximum short-circuit current. The performance indicators and matching results of the CT are comprehensively considered to evaluate the short-circuit resistance of the CT, and the verification results are recorded.
[0097] In addition, a dynamic update mechanism can be built to allow the calibration rules to be automatically updated according to the latest grid data and industry standards. Advanced data analysis techniques, such as machine learning, can be introduced to predict the distribution and trend of grid short-circuit currents and improve the prediction accuracy of calibration. Visualization tools can be developed to graphically display the matching of CT performance indicators with short-circuit current levels for easy analysis and understanding.
[0098] The automated verification process of this embodiment reduces manual operations and improves the speed and efficiency of data processing; precise matching and evaluation improve the accuracy of the verification results and ensure that the CT equipment can withstand the expected short-circuit current; dynamic verification rule updates and advanced data analysis technology enable the system to adapt to changes in the power grid and technological development; the automated verification process reduces dependence on manual labor and reduces maintenance costs and human resource consumption.
[0099] Further, in some embodiments, step S4 "generating a short-circuit capability assessment report of the current transformer to be calibrated based on the calibration result" may specifically include:
[0100] S41. Summarize the matching results and calibration results of all current transformers to be calibrated;
[0101] S42. Based on the matching results and the calibration results, the performance analysis of the current transformer to be calibrated is performed to obtain the performance analysis results;
[0102] S43. Based on the performance analysis results, generate a corresponding short-circuit resistance evaluation report.
[0103] Specifically, for step S4, the matching results and verification results of all CT devices are collected to form a complete data set. The collected data is analyzed in depth to evaluate the performance of each CT and determine its short-circuit resistance. Based on the performance analysis results, a detailed evaluation report is prepared, which includes the evaluation results, risk level and recommended measures for each CT.
[0104] In addition, automated tools can be developed to automatically generate assessment reports based on the analysis results, reducing the workload of manual report writing. Using data mining and machine learning techniques, in-depth analysis of CT performance data can be performed to identify potential patterns and trends. Users can be allowed to customize the content and format of the report as needed to meet the specific needs of different users.
[0105] This embodiment provides an automated report generation process that reduces the time and workload of manual report writing and improves work efficiency. Based on comprehensive performance analysis results, the generated evaluation report is more accurate and reliable, providing solid data support for decision-making.
[0106] Furthermore, in some embodiments, after obtaining the performance analysis result, the method further includes:
[0107] If it is detected that the risk level in the performance analysis result corresponding to any current transformer to be calibrated is verification, the key performance indicators corresponding to the current transformer to be calibrated are extracted;
[0108] Compare and analyze the key performance indicators corresponding to the current transformer to be calibrated with the setting values of the protection device to obtain the comparison results;
[0109] Based on the comparison results, determine whether the current transformer to be calibrated meets the setting requirements;
[0110] After determining that the current transformer to be calibrated does not meet the setting requirements, the setting value of the protection device is calibrated or the current transformer to be calibrated is adjusted.
[0111] Specifically, in the performance analysis results, the risk level of each CT is checked. If the risk level of a CT is found to be "verification", the key performance indicators of the CT need to be further analyzed. The extracted key performance indicators include the rated current, transformation ratio, accuracy level, etc. of the CT, which are crucial for subsequent comparative analysis. For example, an intelligent screening mechanism can be built to automatically identify and extract all CTs with a risk level of "verification" to reduce manual intervention. The extracted key performance indicators are compared in detail with the set values of the protection device to check whether the CT can meet the requirements of the protection device. The comparative analysis includes checking whether the rated current of the CT is higher than the setting current of the protection device, whether the accuracy meets the requirements, etc. Or develop a comparative analysis tool that can automatically perform these comparison operations and generate a detailed report of the comparison results. Introduce machine learning algorithms to analyze historical comparison results to optimize future set value settings and CT selection. Based on the comparison results, determine whether the CT meets the setting requirements of the protection device. If the performance indicators of the CT meet the set value requirements, it is marked as "meets the setting requirements"; otherwise, it is marked as "does not meet the setting requirements". If the CT does not meet the setting requirements, the subsequent verification or adjustment process is initiated, including re-evaluation of the setting of the protection device or adjustment of the CT settings. This step ensures that the CT can meet the requirements of the protection device in actual operation, thereby improving the safety of the power grid.
[0112] This embodiment enhances the risk management capability of the power grid by timely identifying and analyzing high-risk CTs, ensuring that potential problems can be quickly handled; by verifying the setting requirements of CTs and protection devices, the compatibility between devices is ensured and the safety of the power grid is improved; the automated and intelligent processes reduce manual intervention, maintenance costs and human resource consumption.
[0113] Furthermore, in some embodiments, after generating the corresponding short-circuit resistance capability evaluation report, the method further includes:
[0114] S51. Perform risk assessment on the circuit transformer to be verified that does not meet the safety standards in the short-circuit resistance capacity assessment report, and obtain the risk assessment result;
[0115] S52. Generate warning information based on risk assessment results;
[0116] S53. Push the warning information to the smart mobile terminal of the preset user for warning prompt.
[0117] Specifically, conduct in-depth risk assessments on CTs marked as not meeting safety standards in the assessment report, including analyzing the impact of CT failures on grid stability and the probability of failures. Use historical data, failure rate statistics, and grid operation data to determine the risk level and potential impact of each CT. In addition, machine learning models can be introduced to predict the risk of CT failures and improve the accuracy of risk assessments. The risk assessment results are updated based on real-time data through a dynamic risk assessment system.
[0118] Based on the risk assessment results, early warning information is generated, which details which CTs are at high risk and the possible consequences. The early warning information includes the location of the CT, risk level, recommended maintenance measures, etc. The most appropriate early warning information template can be automatically selected according to different risk levels and situations through the early warning information template library. Multi-language support for early warning information is achieved to meet the needs of different regions.
[0119] Finally, the warning information is pushed directly to the preset user's smart mobile terminal, such as a mobile phone or tablet computer, through mobile applications or SMS services, ensuring that the warning information can be delivered in time and providing necessary operational guidance.
[0120] This embodiment improves the risk management capability of the power grid and ensures the safe operation of the power grid through accurate and real-time risk assessment; the automated early warning information generation and push mechanism improves the efficiency of the early warning system, allowing operation and maintenance personnel to respond quickly to potential risks; through early warning prompts from smart mobile terminals, the response speed of operation and maintenance personnel to emergencies is improved, and the accident handling time is reduced; the automated and intelligent early warning system reduces manual intervention, reduces maintenance costs and human resource consumption.
[0121] In order to facilitate understanding of the current transformer short-circuit capability calibration method of the present application, this embodiment also provides a specific implementation method of the current transformer short-circuit capability calibration method.
[0122] Among them, Figure 3 As shown, the implementation steps of the desktop program are as follows: read the original file to be cleaned, and read the data to be parsed into the computer memory; extract and filter the required important indicators according to the rules; read the template standard, and set the auxiliary data for the read indicator data; after all files are read and parsed, output the summarized data to the specified file directory.
[0123] In a specific embodiment, Figure 4 As shown, the program extracts information from a large number of Excel index files and displays the files that were successfully or failed to be extracted;
[0124] like Figure 5As shown, the program filters key information in a large number of excel indicator files, such as the model of the interval equipment, the secondary value of the interval equipment setting, the primary value of the equipment interval setting, and the CT (current transformer) information;
[0125] like Figure 6 As shown, the short-circuit current level of each bay of the matching grid is initially checked and further checked in combination with the fixed value of the bay equipment;
[0126] like Figure 7 As shown, according to the verification strategy, the short-circuit resistance capability of the CT (current transformer) information of each bay is verified and displayed in grades (divided into four levels: emergency, serious, verification, and safety)
[0127] like Figure 8 As shown, for those whose verification result level is "verification", further comparison is carried out in combination with the key constants extracted in step 2. The output result that meets the setting requirements is "meets the setting requirements". For those that do not meet the setting requirements, the next step of constant verification and rectification is carried out.
[0128] This embodiment utilizes the file parsing function to split the data content in the table, locate each data, and after positioning, capture the required characters or data according to the key positions and key character segments. After capturing, a new data statistics table is formed, and the data is sorted and compared according to pre-set data calculation rules and comparison rules to complete the verification data statistics, carry out systematic management of CT (current transformer) saturation and potential relay protection fixed value operation risks, realize CT (current transformer) saturation risk intelligent early warning, propose relay protection fixed value operation risk prevention measures, and realize CT (current transformer) saturation operation risk intelligent and efficient system management.
[0129] In summary, the present embodiment provides a method for verifying the short-circuit resistance of a current transformer. First, the original data file of the current transformer to be verified is read; then, the original data file is parsed to extract key performance indicators; then, the key performance indicators are verified according to preset verification rules to obtain corresponding verification results; finally, based on the verification results, a short-circuit resistance evaluation report of the current transformer to be verified is generated. The short-circuit resistance verification scheme of the current transformer provided in the present embodiment greatly reduces manual intervention and improves the speed and efficiency of data processing by automatically reading and parsing the original data file of the current transformer; the automatic extraction of key performance indicators reduces the possibility of human error, improves the accuracy of data, and provides a reliable data basis for subsequent verification work; the key performance indicators of the CT are systematically verified using preset verification rules to ensure the accuracy and consistency of the verification results.
[0130] In order to facilitate the implementation of the current transformer short-circuit capability verification method of the embodiment of the present application, the embodiment of the present application also provides a current transformer short-circuit capability verification device. The meanings of the terms are the same as those in the above-mentioned current transformer short-circuit capability verification method, and the specific implementation details can refer to the description in the method embodiment.
[0131] See also Fig. 9 , Fig. 9 The present invention provides a schematic diagram of the structure of a current transformer short-circuit resistance verification device provided in an embodiment of the present invention, wherein the current transformer short-circuit resistance verification device may specifically include a file reading module 201, a file parsing module 202, a data verification module 203 and a report generation module 204, which may be specifically as follows:
[0132] The file reading module 201 is used to read the original data file of the current transformer to be calibrated;
[0133] The file parsing module 202 is used to parse the original data file and extract key performance indicators;
[0134] The data verification module 203 is used to verify the key performance indicators according to the preset verification rules and obtain the corresponding verification results;
[0135] The report generating module 204 is used to generate a short-circuit capability evaluation report of the current transformer to be calibrated based on the calibration result.
[0136] Furthermore, in some embodiments, the file reading module 201 may specifically include:
[0137] A file acquisition unit, used to acquire the original data file of the nuclear current transformer to be tested;
[0138] A format recognition unit, used for recognizing the format information of the original data file;
[0139] The reading unit is used to call the file reading software corresponding to the format information to read the device data in the original data file.
[0140] Furthermore, in some embodiments, the file parsing module 202 may specifically include:
[0141] A positioning unit is used to locate key information of the original data file and obtain a positioning result;
[0142] An extraction unit, used for extracting original key performance indicator data in the original data file based on the positioning result;
[0143] The preprocessing unit is used to perform data preprocessing on the original key performance indicator data to obtain the key performance indicators.
[0144] Furthermore, in some embodiments, the data checking module 203 may specifically include:
[0145] A data acquisition unit, configured to determine a short-circuit current level of each interval based on the acquired short-circuit current data of each interval in the power grid;
[0146] A matching unit, used for matching the current transformer to be checked with the short-circuit current level of the corresponding interval based on the key performance indicators to obtain a matching result;
[0147] The calibration unit is used to calibrate the short-circuit resistance capability of the current transformer to be calibrated based on the key performance indicators and the matching results to obtain the calibration result.
[0148] Furthermore, in some embodiments, the report generation module 204 may specifically include:
[0149] A summary unit, used to summarize the matching results and calibration results of all current transformers to be calibrated;
[0150] An analysis unit, used for performing performance analysis on the current transformer to be calibrated based on the matching result and the calibration result to obtain a performance analysis result;
[0151] The reporting unit is used to generate a corresponding short-circuit resistance evaluation report based on the performance analysis result.
[0152] Furthermore, in some embodiments, the report generation module 204 may be specifically configured to:
[0153] If it is detected that the risk level in the performance analysis result corresponding to any current transformer to be calibrated is verification, the key performance indicators corresponding to the current transformer to be calibrated are extracted;
[0154] Compare and analyze the key performance indicators corresponding to the current transformer to be calibrated with the setting values of the protection device to obtain the comparison results;
[0155] Based on the comparison results, determine whether the current transformer to be calibrated meets the setting requirements;
[0156] After determining that the current transformer to be calibrated does not meet the setting requirements, the setting value of the protection device is calibrated or the current transformer to be calibrated is adjusted.
[0157] Furthermore, in some embodiments, an early warning module is also included, which is specifically used to:
[0158] Conduct risk assessment on the circuit transformers to be verified that do not meet the safety standards in the short-circuit resistance capacity assessment report, and obtain risk assessment results;
[0159] Generate early warning information based on risk assessment results;
[0160] The warning information is pushed to the smart mobile terminal of the preset user for early warning prompts.
[0161] In summary, the current transformer short-circuit resistance verification device provided in this embodiment reads the original data file of the current transformer to be verified through the file reading module 201; the original data file is parsed through the file parsing module 202 to extract the key performance indicators; the key performance indicators are verified according to the preset verification rules through the data verification module 203 to obtain the corresponding verification results; the report generation module 204 generates the short-circuit resistance evaluation report of the current transformer to be verified based on the verification results. It can be seen that the current transformer short-circuit resistance verification device provided in this embodiment greatly reduces manual intervention and improves the speed and efficiency of data processing by automatically reading and parsing the original data file of the current transformer; the automatic extraction of key performance indicators reduces the possibility of human error, improves the accuracy of data, and provides a reliable data basis for subsequent verification work; the key performance indicators of CT are systematically verified using the preset verification rules to ensure the accuracy and consistency of the verification results.
[0162] In addition, the present application also provides an electronic device, such as Fig.10 , which shows a schematic diagram of the structure of an electronic device involved in an embodiment of the present application. Specifically, the electronic device may include a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, an input unit 304 and other components. Those skilled in the art can understand that Fig.10 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.
[0163] The processor 301 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 302, and calling data stored in the memory 302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 301.
[0164] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and the current transformer short-circuit resistance verification method by running the software programs and modules stored in the memory 302. The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 302 may also include a memory controller to provide the processor 301 with access to the memory 302.
[0165] The electronic device also includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so that the power management system can manage charging, discharging, power consumption and other functions. The power supply 303 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.
[0166] The electronic device may further include an input unit 304, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.
[0167] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302, thereby realizing various functions, as follows:
[0168] Read the original data file of the current transformer to be calibrated; parse the original data file and extract key performance indicators; calibrate the key performance indicators according to preset calibration rules to obtain corresponding calibration results; based on the calibration results, generate a short-circuit resistance assessment report for the current transformer to be calibrated.
[0169] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.
[0170] The embodiment of the present application greatly reduces manual intervention and improves the speed and efficiency of data processing by automatically reading and parsing the original data files of the current transformer; automatically extracts key performance indicators to reduce the possibility of human errors, improves the accuracy of data, and provides a reliable data basis for subsequent verification work; and uses preset verification rules to systematically verify the key performance indicators of the CT to ensure the accuracy and consistency of the verification results.
[0171] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.
[0172] To this end, an embodiment of the present application provides a storage medium in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in any of the current transformer short-circuit resistance verification methods provided in the embodiments of the present application. For example, the instructions can execute the following steps:
[0173] Read the original data file of the current transformer to be calibrated; parse the original data file and extract key performance indicators; calibrate the key performance indicators according to preset calibration rules to obtain corresponding calibration results; based on the calibration results, generate a short-circuit resistance assessment report for the current transformer to be calibrated.
[0174] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.
[0175] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. Since the instructions stored in the storage medium can execute the steps in any of the current transformer short-circuit capability verification methods provided in the embodiments of the present application, the beneficial effects that can be achieved by any of the current transformer short-circuit capability verification methods provided in the embodiments of the present application can be achieved. For details, please refer to the previous embodiments and will not be repeated here.
[0176] The above is a detailed introduction to a current transformer short-circuit capability verification method, device, electronic device and storage medium provided in an embodiment of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.
Claims
1. A method for verifying the short-circuit resistance of a current transformer, characterized in that: The steps include: Read the original data file of the current transformer to be calibrated; Parsing the original data file to extract key performance indicators; According to the preset verification rules, the key performance indicators are verified to obtain corresponding verification results; Based on the verification result, a short-circuit capability assessment report of the current transformer to be verified is generated.
2. The method for verifying the short-circuit resistance of a current transformer according to claim 1, characterized in that: The method of reading the original data file of the current transformer to be calibrated includes: Obtain the original data file of the nuclear current transformer to be inspected; Identify the format information of the original data file; The file reading software corresponding to the format information is called to read the device data in the original data file.
3. The method for verifying the short-circuit resistance of a current transformer according to claim 1, characterized in that: The raw data file is parsed to extract key performance indicators, including: Positioning key information of the original data file to obtain a positioning result; Based on the positioning result, extracting original key performance indicator data in the original data file; The original key performance indicator data is preprocessed to obtain key performance indicators.
4. The method for verifying the short-circuit resistance of a current transformer according to claim 1, characterized in that: The key performance indicators are calibrated according to the preset calibration rules to obtain corresponding calibration results, including: Determine the short-circuit current level of each interval based on the acquired short-circuit current data of each interval in the power grid; Based on the key performance indicators, matching the current transformer to be calibrated with the short-circuit current level of the corresponding interval to obtain a matching result; The short-circuit resistance capability of the current transformer to be calibrated is calibrated based on the key performance indicator and the matching result to obtain a calibration result.
5. The method for verifying the short-circuit resistance of a current transformer according to claim 4, characterized in that: The generating, based on the verification result, a short-circuit resistance evaluation report of the current transformer to be verified comprises: Summarizing the matching results and the calibration results of all current transformers to be calibrated; Based on the matching result and the calibration result, a performance analysis is performed on the current transformer to be calibrated to obtain a performance analysis result; Based on the performance analysis results, a corresponding short-circuit resistance evaluation report is generated.
6. The method for verifying the short-circuit resistance of a current transformer according to claim 5, characterized in that: After obtaining the performance analysis result, the method further includes: If it is detected that the risk level in the performance analysis result corresponding to any of the current transformers to be calibrated is verification, extracting the key performance indicators corresponding to the current transformers to be calibrated; Compare and analyze the key performance indicators corresponding to the current transformer to be calibrated with the setting values of the protection device to obtain the comparison results; Based on the comparison result, judging whether the current transformer to be calibrated meets the setting requirements; After determining that the current transformer to be calibrated does not meet the setting requirements, the setting value of the protection device is calibrated or the current transformer to be calibrated is adjusted.
7. The method for verifying the short-circuit resistance of a current transformer according to claim 1, characterized in that: After generating the corresponding short-circuit resistance capability evaluation report, the method further includes: Conduct risk assessment on the circuit transformers to be verified that do not meet the safety standards in the short-circuit resistance capacity assessment report, and obtain risk assessment results; generating early warning information based on the risk assessment results; The warning information is pushed to the smart mobile terminal of the preset user for early warning prompt.
8. A current transformer short-circuit resistance verification device, characterized in that: include: A file reading module, used to read the original data file of the current transformer to be calibrated; A file parsing module, used to parse the original data file and extract key performance indicators; A data verification module is used to verify the key performance indicators according to preset verification rules to obtain corresponding verification results; A report generation module is used to generate a short-circuit resistance evaluation report of the current transformer to be calibrated based on the calibration result.
9. An electronic device, characterized in that: include: A memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for calibrating the short-circuit resistance capability of a current transformer as described in any one of claims 1 to 7 are implemented.
10. A storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method for calibrating the short-circuit resistance capability of a current transformer as described in any one of claims 1 to 7.