Power transformer reliability evaluation method

Abstract

The invention relates to the technical field of electric power, in particular to a power transformer reliability evaluation method. The method comprises the following steps: S1, data collection: collecting operation state data, historical fault data and operation environment data of the power transformer; s2, data analysis: performing arrangement, classification and preliminary analysis on the collected data by using a statistical analysis method; s3, constructing a reliability evaluation model: constructing the reliability evaluation model of the power transformer based on a data analysis result; s4, reliability evaluation: inputting the actual operation data of the power transformer into the reliability evaluation model to obtain a reliability evaluation result of the transformer; and S5, presenting the reliability evaluation result to the user in a visual mode. According to the method, the reliability of the transformer is evaluated based on data analysis and mathematical modeling, the evaluation process is more objective and accurate, potential risks can be found in advance, and decision support is provided for maintenance and replacement of the transformer.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric power, in particular to a reliability evaluation method of power transformer. BACKGROUND

[0002] With the continuous expansion of the power grid scale and the increasing complexity of the power system, as the key equipment in the power grid, the reliability of the power transformer is crucial to the safe operation of the entire power system. The traditional reliability evaluation of the power transformer relies on experience and simple statistical methods, which lacks systematicness and scientificity and cannot comprehensively and accurately reflect the actual operation state of the transformer. For example, the Chinese patent with the authorization announcement number CN105784977B discloses a reliability evaluation method of power transformer, which determines the aging degree of the insulation paper by measuring the furfural concentration of the insulation paper aging decomposition in the transformer, thereby determining the insulation performance of the insulation paper; and determines the life cycle of the transformer according to the aging degree of the insulation paper. However, the reliability of the transformer is influenced by many factors, and the above-mentioned judging method is too single, so the evaluation result may be quite different from the actual situation. SUMMARY

[0003] The technical problem to be solved by the present application is to overcome the shortcomings of the prior art and provide a reliability evaluation method of power transformer, which can evaluate the reliability of the transformer based on data analysis and mathematical modeling, and the evaluation process is more objective and accurate.

[0004] The technical scheme of the present application is as follows:

[0005] A reliability evaluation method of power transformer, the method comprising the following steps:

[0006] S1, data collection: collecting the operation state data, historical fault data and operation environment data of the power transformer;

[0007] S2, data analysis: using statistical analysis method to sort, classify and preliminarily analyze the collected data, and identifying the key factors influencing the reliability of the transformer;

[0008] S3, reliability evaluation model construction: constructing the reliability evaluation model of the power transformer based on the data analysis result;

[0009] S4, reliability evaluation: inputting the actual operation data of the power transformer into the reliability evaluation model to obtain the reliability evaluation result of the transformer;

[0010] S5, presenting the reliability evaluation result to the user in a visualized manner, and formulating the corresponding operation and maintenance strategy according to the evaluation result to improve the operation efficiency and safety of the transformer.

[0011] Preferably, the step S1 comprises the following substeps:

[0012] S11, real-time data collection: collecting the running state data of the power transformer in real time through sensors or monitoring systems, including voltage, current, temperature, vibration;

[0013] S12, historical data retrieval: retrieving the historical fault data of the power transformer from the database, including fault type, fault time, fault repair record;

[0014] S13, environmental parameter collection: collecting temperature, humidity, wind speed parameters of the transformer operating environment through weather stations or other environmental perception devices.

[0015] Preferably, the step S2 comprises the following sub-steps:

[0016] S21, data cleaning: de-duplication, outlier processing and data format unification of the collected data;

[0017] S22, feature extraction: extracting features related to transformer reliability from the cleaned data, including running parameter trend and fault frequency;

[0018] S23, key factor identification: using correlation analysis and principal component analysis to identify key factors affecting transformer reliability and determine their weights.

[0019] Preferably, the step S3 comprises the following sub-steps:

[0020] S31, model selection: constructing a neural network model according to the data analysis results;

[0021] S32, model training: training the model using historical fault data and extracted features, and optimizing model parameters;

[0022] S33, model verification: verifying the trained model using independent test data set to ensure its accuracy and generalization ability.

[0023] Preferably, the step S4 comprises the following sub-steps:

[0024] S41, data preprocessing: preprocessing the real-time collected power transformer running data to meet the input requirements of the reliability evaluation model;

[0025] S42, model input: inputting the preprocessed data into the reliability evaluation model;

[0026] S43, result output: the model outputs the reliability evaluation results of the transformer, including reliability level and predicted remaining life.

[0027] Preferably, the step S5 comprises the following sub-steps:

[0028] S51. Visualization: The reliability evaluation results are presented to users in a visual manner using charts and dashboards for easy and intuitive understanding;

[0029] S52. Recommended Operation and Maintenance Strategies: Based on the reliability evaluation results, recommend corresponding operation and maintenance strategies, including regular maintenance, component replacement, and adjustment of operating parameters.

[0030] S53. Strategy Execution Tracking: Track the execution of operation and maintenance strategies, adjust strategies based on actual results, and continuously optimize the operating efficiency and safety of transformers.

[0031] Compared with the prior art, the present invention has the following advantages:

[0032] This invention comprehensively considers multiple factors affecting transformer reliability, resulting in a more comprehensive evaluation, a more objective and accurate evaluation process, and intuitive and easy-to-understand evaluation results. This facilitates understanding and application by operation and maintenance personnel, enabling the early detection of potential risks and providing decision support for transformer maintenance and replacement. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0035] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0036] Example

[0037] like Figure 1 As shown in the figure, this embodiment provides a method for evaluating the reliability of power transformers, the method including the following steps:

[0038] S1. Data Collection: Collect operating status data, historical fault data, and operating environment data of power transformers;

[0039] S2. Data Analysis: Using statistical analysis methods, the collected data is organized, classified, and preliminarily analyzed to identify the key factors affecting the reliability of the transformer.

[0040] S3. Reliability Assessment Model Construction: Based on the data analysis results, a reliability assessment model for power transformers is constructed.

[0041] S4. Reliability Evaluation: Input the actual operating data of the power transformer into the reliability assessment model to obtain the reliability evaluation results of the transformer;

[0042] S5. Present the reliability evaluation results to users in a visual manner, and formulate corresponding operation and maintenance strategies based on the evaluation results to improve the operating efficiency and safety of transformers.

[0043] Preferably, step S1 includes the following sub-steps:

[0044] S11. Real-time data collection: Real-time collection of operating status data of power transformers, including voltage, current, temperature, and vibration, through sensors or monitoring systems;

[0045] S12. Historical Data Retrieval: Retrieve historical fault data of power transformers from the database, including fault type, fault time, and fault repair records;

[0046] S13. Environmental parameter collection: Collect temperature, humidity, and wind speed parameters of the transformer's operating environment through weather stations or other environmental sensing devices.

[0047] Preferably, step S2 includes the following sub-steps:

[0048] S21. Data cleaning: Deduplication, outlier handling, and data format standardization of the collected data;

[0049] S22. Feature extraction: Extract features related to transformer reliability from the cleaned data, including the changing trend of operating parameters and the frequency of failures.

[0050] S23. Key Factor Identification: Using correlation analysis and principal component analysis, identify the key factors affecting transformer reliability and determine their weights.

[0051] Preferably, step S3 includes the following sub-steps:

[0052] S31. Model Selection: Construct a neural network model based on the data analysis results;

[0053] S32. Model Training: Train the model using historical fault data and extracted features to optimize model parameters;

[0054] S33. Model Validation: Validate the trained model using an independent test dataset to ensure its accuracy and generalization ability.

[0055] Preferably, step S4 includes the following sub-steps:

[0056] S41. Data preprocessing: The real-time collected power transformer operation data is preprocessed to meet the input requirements of the reliability assessment model;

[0057] S42. Model Input: Input the preprocessed data into the reliability assessment model;

[0058] S43. Output Results: The model outputs the reliability evaluation results of the transformer, including the reliability level and the estimated remaining life.

[0059] Preferably, step S5 includes the following sub-steps:

[0060] S51. Visualization: The reliability evaluation results are presented to users in a visual manner using charts and dashboards for easy and intuitive understanding;

[0061] S52. Recommended Operation and Maintenance Strategies: Based on the reliability evaluation results, recommend corresponding operation and maintenance strategies, including regular maintenance, component replacement, and adjustment of operating parameters.

[0062] S53. Strategy Execution Tracking: Track the execution of operation and maintenance strategies, adjust strategies based on actual results, and continuously optimize the operating efficiency and safety of transformers.

[0063] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the invention is not limited thereto. Various equivalent modifications or substitutions can be made to the embodiments of the invention by those skilled in the art without departing from the spirit and essence of the invention, and such modifications or substitutions should all be within the scope of the invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the invention should also be covered within the protection scope of the invention. Therefore, the protection scope of the invention should be determined by the scope of the claims.

Claims

1. A method for evaluating the reliability of power transformers, characterized in that, The method includes the following steps: S1. Data Collection: Collect operating status data, historical fault data, and operating environment data of power transformers; S2. Data Analysis: Using statistical analysis methods, the collected data is organized, classified, and preliminarily analyzed to identify the key factors affecting the reliability of the transformer. S3. Reliability Assessment Model Construction: Based on the data analysis results, a reliability assessment model for power transformers is constructed. S4. Reliability Evaluation: Input the actual operating data of the power transformer into the reliability assessment model to obtain the reliability evaluation results of the transformer; S5. Present the reliability evaluation results to users in a visual manner, and formulate corresponding operation and maintenance strategies based on the evaluation results to improve the operating efficiency and safety of transformers.

2. The power transformer reliability evaluation method as described in claim 1, characterized in that, Step S1 includes the following sub-steps: S11. Real-time data collection: Real-time collection of operating status data of power transformers, including voltage, current, temperature, and vibration, through sensors or monitoring systems; S12. Historical Data Retrieval: Retrieve historical fault data of power transformers from the database, including fault type, fault time, and fault repair records; S13. Environmental parameter collection: Collect temperature, humidity, and wind speed parameters of the transformer's operating environment through weather stations or other environmental sensing devices.

3. The power transformer reliability evaluation method as described in claim 1, characterized in that, Step S2 includes the following sub-steps: S21. Data cleaning: Deduplication, outlier handling, and data format standardization of the collected data; S22. Feature extraction: Extract features related to transformer reliability from the cleaned data, including the changing trend of operating parameters and the frequency of failures. S23. Key Factor Identification: Using correlation analysis and principal component analysis, identify the key factors affecting transformer reliability and determine their weights.

4. The power transformer reliability evaluation method as described in claim 1, characterized in that, Step S3 includes the following sub-steps: S31. Model Selection: Construct a neural network model based on the data analysis results; S32. Model Training: Train the model using historical fault data and extracted features to optimize model parameters; S33. Model Validation: Validate the trained model using an independent test dataset to ensure its accuracy and generalization ability.

5. The power transformer reliability evaluation method as described in claim 1, characterized in that, Step S4 includes the following sub-steps: S41. Data preprocessing: The real-time collected power transformer operation data is preprocessed to meet the input requirements of the reliability assessment model; S42. Model Input: Input the preprocessed data into the reliability assessment model; S43. Output Results: The model outputs the reliability evaluation results of the transformer, including the reliability level and the estimated remaining life.

6. The power transformer reliability evaluation method as described in claim 1, characterized in that, Step S5 includes the following sub-steps: S51. Visualization: The reliability evaluation results are presented to users in a visual manner using charts and dashboards for easy and intuitive understanding; S52. Recommended Operation and Maintenance Strategies: Based on the reliability evaluation results, recommend corresponding operation and maintenance strategies, including regular maintenance, component replacement, and adjustment of operating parameters. S53. Strategy Execution Tracking: Track the execution of operation and maintenance strategies, adjust strategies based on actual results, and continuously optimize the operating efficiency and safety of transformers.

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