A multi-winding design quality safety assessment method and system for dry-type transformers

Abstract

The present invention relates to the technical field of quality and safety assessment, and in particular to a method and system for quality and safety assessment of a multi-winding design of a dry-type transformer, the method comprising: establishing a dry-type transformer database; assessing the quality and safety load according to power grid environment information and external environment information; constructing a quality and safety simulation space for the dry-type transformer based on basic parameter information and multi-winding design information, and performing an operation simulation on the multi-winding design of the dry-type transformer; loading the quality and safety load in the quality and safety simulation space, and setting an acceleration control time, performing an operation simulation on several load stages of the dry-type transformer based on the acceleration control time, and obtaining a quality and safety assessment result through the load simulation result. Through the present invention, by establishing a database containing detailed parameters and scenario information, and using the simulation space to quickly simulate power grid and environmental conditions, the long-term performance and safety of the transformer can be accelerated.

Description

Technical Field

[0001] The present invention relates to the technical field of quality safety assessment, and in particular to a method and system for quality safety assessment of a multi-winding design of a dry-type transformer. Background Art

[0002] In the power industry, dry-type transformers are widely used in commercial, residential and industrial fields due to their high safety, low maintenance requirements and environmental protection characteristics. Dry-type transformers use air rather than liquid as a cooling medium, effectively avoiding environmental pollution and fire risks caused by oil leakage. With the diversification of power demand and the complexity of the power grid environment, the design of dry-type transformers is increasingly inclined to adopt a multi-winding structure to adapt to different voltage and load requirements. This multi-winding design not only improves the functionality of the transformer, but also increases the complexity of its design and evaluation.

[0003] Although multi-winding dry-type transformers have significant performance advantages, existing design and evaluation methods fail to fully consider the complex power grid and external environmental impacts faced by transformers in actual operation. Existing evaluation methods often use static tests and cannot simulate transformer behavior under dynamic conditions such as voltage fluctuations, temperature changes and mechanical loads. In addition, existing technologies have also failed to provide a systematic solution to integrate the transformer's design parameters, installation environment and operating feedback to achieve quality and safety assessment within the predetermined life cycle.

[0004] The information disclosed in this background technology section is only intended to deepen the understanding of the overall background technology of the present disclosure, and should not be regarded as acknowledging or suggesting in any form that the information constitutes the prior art known to those skilled in the art. Summary of the invention

[0005] The present invention provides a multi-winding design quality and safety assessment method and system for a dry-type transformer, which can effectively solve the problems in the background technology.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is:

[0007] A multi-winding design quality safety assessment method for a dry-type transformer, the method comprising:

[0008] Establishing a dry-type transformer database, the dry-type transformer database includes basic parameter information, installation scenario information, multi-winding design information of the dry-type transformer, and performance feedback information of the dry-type transformer after operation;

[0009] The installation scenario information includes power grid environment information and external environment information, and the quality safety load is evaluated according to the power grid environment information and the external environment information;

[0010] Constructing a quality and safety simulation space for the dry-type transformer based on the basic parameter information and the multi-winding design information, and performing an operation simulation on the multi-winding design of the dry-type transformer;

[0011] The quality safety load is loaded in the quality safety simulation space, and an acceleration control time is set. Based on the acceleration control time, operation simulations are performed on several load stages of the dry-type transformer, and quality safety assessment results are obtained through the load simulation results.

[0012] Further, evaluating the quality safety load according to the power grid environment information and the external environment information includes:

[0013] Dividing the grid load phases according to the grid environment information, and sorting the loads from high to low to generate a load segment sequence;

[0014] Dividing the external disturbance stages according to the external environment information, and sorting them from high to low according to the disturbance, to generate a disturbance segment sequence;

[0015] The load segment sequence and the disturbance segment sequence are arranged and combined, and the arrangement and combination results are sorted according to the load and disturbance levels to generate a comprehensive load sequence;

[0016] A comprehensive load sensitivity is set based on the dry-type transformer database, and a quality safety load assessment is performed on the comprehensive load sequence through the comprehensive load sensitivity.

[0017] Further, the comprehensive load sequence is evaluated for quality safety load by using the comprehensive load sensitivity, including:

[0018] Traversing the comprehensive load sequence to determine whether there is a load item corresponding to the comprehensive load sensitivity;

[0019] If it exists, the comprehensive load sensitivity is marked on the corresponding load item, and the ratio of the load items higher than the comprehensive load sensitivity to the load items lower than the comprehensive load sensitivity is determined, and the quality safety load is evaluated according to the ratio;

[0020] If it does not exist, select any one of the load items and determine the relationship between the load carried by the load item and the comprehensive load sensitivity;

[0021] If it is higher than the comprehensive load sensitivity, the comprehensive load sequence is marked as an overload sequence; if it is lower than the comprehensive load sensitivity, the comprehensive load sequence is marked as an unloaded sequence.

[0022] Further, evaluating the quality safety load according to the ratio includes:

[0023] Obtaining the expected life of the dry-type transformer, obtaining the life performance of the dry-type transformer on each load item according to the comprehensive load sensitivity and ratio, and evaluating the durability performance according to the expected life;

[0024] Set a sudden recovery time, which is the recovery time of the component structure and the insulation material after being subjected to a high load in a short time, and test the dry-type transformer with a load item higher than the comprehensive load sensitivity within a unit time to obtain the anti-explosion performance;

[0025] The mass safety load is evaluated based on the durability performance and the anti-explosion performance.

[0026] Furthermore, a dry-type transformer database is established, including:

[0027] Collect historical maintenance data of dry-type transformers, including multi-winding designs of various dry-type transformers;

[0028] And classify the historical maintenance data information of the dry-type transformer according to the basic parameter information, installation scenario information, multi-winding design information and performance feedback information after the operation of the dry-type transformer, and establish a data index entry according to the classification result;

[0029] A multi-winding design subset is constructed according to the multi-winding design of each dry-type transformer, and historical information tracking of each multi-winding design scheme is established for the quality and safety simulation space to call data.

[0030] Furthermore, the quality and safety simulation space calls data, including:

[0031] Determine the current power grid environment information and external environment information, match the power grid environment information and external environment information through the dry-type transformer database index, and construct a simulation scenario factor, where the simulation scenario factor is a digital representation of the installation scenario information in the quality and safety simulation space;

[0032] Determine basic parameter information and multi-winding design information of the current dry-type transformer, match the basic parameter information and multi-winding design information through the dry-type transformer database index, and divide the acceleration control time into stages, and set different time acceleration factors for each stage according to load performance;

[0033] According to the determined current power grid environment information and external environment information as well as the basic parameter information and multi-winding design information of the current dry-type transformer, the dry-type transformer database is matched and the corresponding performance feedback information of the dry-type transformer after operation is tracked to provide data support for the load simulation results.

[0034] Furthermore, based on the acceleration control time, operation simulation is performed on several load stages of the dry-type transformer, including:

[0035] Set the time acceleration factor to define the conversion ratio between the actual time length and the actual time in the simulation, so as to speed up the simulation process and quickly obtain the effect of long-term operation;

[0036] According to the actual installation scenario information and multi-winding design information of the dry-type transformer, several specific load stages are defined, each stage represents a load condition that the transformer may encounter, and each load stage corresponds to one of the time acceleration factors;

[0037] In each defined load stage, the corresponding grid environment and external environment parameters are loaded to perform simulation operation;

[0038] The simulation results of all the load stages are integrated to evaluate the performance of the dry-type transformer during its assumed full life cycle, thereby obtaining the load simulation results.

[0039] Furthermore, the quality and safety assessment results are obtained through the load simulation results, including:

[0040] Performing deep learning on the dry-type transformer database to obtain mapping relationships between the basic parameter information, installation scenario information, and multi-winding design information and performance feedback information after the dry-type transformer is operated, and mapping relationships between the basic parameter information, installation scenario information, and multi-winding design information after fitting and the performance feedback information after the dry-type transformer is operated;

[0041] Setting a time data management length, collecting data on the operating performance of the installed dry-type transformer, entering the collected data into the dry-type transformer database, updating the data of the dry-type transformer database according to the time data management length, and adjusting the mapping relationship;

[0042] The quality and safety of the load simulation result is evaluated according to the mapping relationship to obtain the quality and safety evaluation result.

[0043] A multi-winding design quality and safety assessment system for dry-type transformers, the system comprising:

[0044] Constructing a database module to establish a dry-type transformer database, wherein the dry-type transformer database includes basic parameter information, installation scenario information, multi-winding design information, and performance feedback information of the dry-type transformer after operation;

[0045] A load safety assessment module, wherein the installation scenario information includes power grid environment information and external environment information, and a quality safety load is assessed based on the power grid environment information and external environment information;

[0046] A simulation operation space module is used to construct a quality and safety simulation space for the dry-type transformer based on the basic parameter information and the multi-winding design information, and to perform operation simulation on the multi-winding design of the dry-type transformer;

[0047] The quality and safety assessment module loads the quality and safety load in the quality and safety simulation space and sets the acceleration control time, performs operation simulation on several load stages of the dry-type transformer based on the acceleration control time, and obtains the quality and safety assessment result through the load simulation result.

[0048] Furthermore, the load safety assessment module includes:

[0049] A load segment generating unit, which divides the power grid load phases according to the power grid environment information, and sorts the loads from high to low to generate a load segment sequence;

[0050] A disturbance segment generating unit, which divides the external disturbance phases according to the external environment information, and sorts the disturbances from high to low to generate a disturbance segment sequence;

[0051] A comprehensive load generation unit arranges and combines the load segment sequence and the disturbance segment sequence, and sorts the arrangement and combination results according to the level of the comprehensive load and the disturbance to generate a comprehensive load sequence;

[0052] A sensitivity setting unit sets a comprehensive load sensitivity based on the dry-type transformer database, and performs a quality safety load assessment on the comprehensive load sequence through the comprehensive load sensitivity.

[0053] The technical solution of the present invention can achieve the following technical effects:

[0054] By establishing a database containing detailed design parameters and installation scenario information, the evaluation comprehensively considers the performance of the transformer in the actual operating environment. This method uses the quality and safety simulation space to simulate the actual conditions of the power grid and the external environment, combined with the accelerated control time, to quickly simulate the long-term operation effects, thereby effectively predicting the performance and safety of the transformer. This systematic evaluation method not only reduces the time and resources required for long-term actual operation tests, but also dynamically simulates the response of the transformer under different load conditions, providing a scientific basis for the optimization and decision-making of transformer design, and significantly improving the reliability and market competitiveness of the product.

[0055] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0057] Figure 1 A flow chart of the quality and safety assessment method for multi-winding design of dry-type transformers;

[0058] Figure 2 A schematic diagram of the process for assessing mass safety load;

[0059] Figure 3 Schematic diagram of the process for establishing a dry-type transformer database;

[0060] Figure 4 Schematic diagram of the process flow simulated for dry-type transformer operation. DETAILED DESCRIPTION

[0061] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0062] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0063] Embodiment 1

[0064] like Figure 1 As shown, the present application provides a multi-winding design quality safety assessment method for a dry-type transformer, the method comprising:

[0065] S10: Establishing a dry-type transformer database, the dry-type transformer database includes basic parameter information, installation scenario information, multi-winding design information of the dry-type transformer, and performance feedback information of the dry-type transformer after operation;

[0066] S20: The installation scenario information includes power grid environment information and external environment information, and the quality safety load is evaluated according to the power grid environment information and the external environment information;

[0067] S30: construct a quality and safety simulation space for the dry-type transformer based on basic parameter information and multi-winding design information, and perform operation simulation on the multi-winding design of the dry-type transformer;

[0068] S40: Loading the quality safety load in the quality safety simulation space and setting the acceleration control time, performing operation simulation on several load stages of the dry-type transformer based on the acceleration control time, and obtaining the quality safety assessment result through the load simulation result.

[0069] Specifically, information including basic design parameters, installation environment, historical load data, fault records and maintenance history of dry-type transformers is systematically collected. All collected data are integrated into a specially designed database system, which supports efficient retrieval, update and management of data, analyzes power grid environment information such as power grid stability, load fluctuations, and external environment information such as temperature, humidity, pollution level, etc. According to the analysis results, key risk factors that may have a negative impact on transformer performance are identified and their potential impact is predicted. According to the collected design information and environmental data, specific parameters of the simulation test are designed, such as simulated load level, environmental conditions, etc., and then a virtual test environment is established using advanced simulation software, which can accurately reproduce the impact of the power grid and external environment on the transformer. Different quality and safety loads are loaded in the simulation space according to predetermined scenarios to simulate the operating status of the transformer. In order to simulate the long-term operation effect, acceleration time parameters are set to compress the actual operation time for rapid simulation, and key performance indicators during the simulation process are recorded, such as temperature rise, voltage change, insulation performance degradation, etc. The quality and safety of the transformer are evaluated based on the simulation results, and possible design deficiencies or potential fault points are identified.

[0070] Through the technical solution of the present invention, by establishing a database containing detailed parameters and scenario information and using simulation space to quickly simulate power grid and environmental conditions, the long-term performance and safety of the multi-winding design of the dry-type transformer can be evaluated more quickly.

[0071] Further, if Figure 2 As shown, the quality safety load is evaluated based on the power grid environment information and external environment information, including:

[0072] S21: Divide the grid load phases according to the grid environment information, and sort them from high to low according to the loads to generate a load segment sequence;

[0073] S22: Divide the external disturbance stages according to the external environment information, and sort them from high to low according to the disturbance to generate a disturbance segment sequence;

[0074] S23: permuting and combining the load segment sequence and the disturbance segment sequence, and sorting the permutation and combination results according to the load and disturbance levels to generate a comprehensive load sequence;

[0075] S24: Set comprehensive load sensitivity based on the dry-type transformer database, and perform quality safety load assessment on the comprehensive load sequence through the comprehensive load sensitivity.

[0076] As a preferred embodiment of the above, the information related to the power grid environment may include, for example, voltage stability, load fluctuation, historical fault data, etc. The power grid load phase is divided according to the power grid environment information. This step involves analyzing the load data of the power grid and sorting them from high to low according to the load to generate a load segment sequence. The same analysis includes external environmental information such as temperature, humidity, and pollution level. According to the external environmental information, the disturbance phase that may affect the performance of the transformer is divided and sorted from high to low according to the impact of the disturbance on the safety performance to generate a disturbance segment sequence. The load segment sequence and the disturbance segment sequence are arranged and combined. This can simulate the operating state of the transformer under different environmental and load conditions. The comprehensive load and disturbance of the results of the permutation and combination are sorted to generate a comprehensive load sequence, which will be used for subsequent simulation and quality and safety assessment. Based on the dry-type transformer database, a specific load sensitivity is set for each possible comprehensive load state, which includes evaluating the response and performance of the transformer under different comprehensive load conditions, and performing a quality and safety assessment on the comprehensive load sequence through the comprehensive load sensitivity set above. This step will help identify possible risks and weaknesses and provide a basis for optimizing the design. The above steps can be implemented through advanced simulation technology and data analysis tools to ensure the accuracy and reliability of the evaluation results. In this way, the present invention can predict and evaluate the performance of dry-type transformers under various operating conditions, so that preventive measures can be taken against potential safety risks in the design stage to improve the overall quality and safety of the transformer.

[0077] Furthermore, the quality safety load of the comprehensive load sequence is evaluated through comprehensive load sensitivity, including:

[0078] Traverse the comprehensive load sequence to determine whether there is a load item corresponding to the comprehensive load sensitivity;

[0079] If it exists, the comprehensive load sensitivity is marked on the corresponding load item, and the ratio of loads higher than the comprehensive load sensitivity to loads lower than the comprehensive load sensitivity is determined, and the quality safety load is evaluated based on the ratio;

[0080] If it does not exist, select any load item and determine the relationship between the load carried by the load item and the comprehensive load sensitivity;

[0081] If it is higher than the comprehensive load sensitivity, the comprehensive load sequence is marked as an overload sequence; if it is lower than the comprehensive load sensitivity, the comprehensive load sequence is marked as a no-load sequence.

[0082] On the basis of the above embodiment, based on the established dry-type transformer database, the power grid environment information and external environment information are integrated to create a comprehensive load sequence. This sequence lists different load segments and disturbance segments in detail and sorts them. The comprehensive load sequence is traversed to identify the load items that match the comprehensive load sensitivity. At the same time, the proportion of load items that exceed and are lower than the comprehensive load sensitivity is calculated according to the position of the load item in the comprehensive load sequence. If the traversal result shows that any load item is higher than the load sensitivity, this load sequence is marked as an overload sequence, indicating that the transformer may face an overload risk at this stage; if any load item is lower than the load sensitivity, this sequence is marked as an unloaded sequence, indicating that the transformer is operating in a relatively safe or low-load state at this stage. The system is designed to accept real-time data updates so that the load sensitivity can be adjusted according to the actual operation of the transformer and external changes, and the load structure identification of the comprehensive load sequence is used as an important basis for quality and safety load evaluation of the load sequence.

[0083] Further, the mass safety load is evaluated according to a ratio, including:

[0084] Obtain the expected life of the dry-type transformer, obtain the life performance of the dry-type transformer in each load item based on the comprehensive load sensitivity and proportion, and evaluate the durability performance based on the expected life;

[0085] Set the sudden recovery time, which is the recovery time of the component structure and insulation material after a short period of high load. Test the dry-type transformer with a load item higher than the comprehensive load sensitivity within the unit time to obtain the anti-burst performance.

[0086] Evaluate quality safety load based on durability performance and anti-explosion performance.

[0087] As a preferred embodiment of the above, first, it is necessary to determine the design life of the dry-type transformer, and use the comprehensive load sensitivity and each load item obtained from the comprehensive load sequence to calculate the life performance of the transformer under each load item, that is, to control the variable factors caused by load fluctuations, maintain a constant load from the installation and use of the dry-type transformer, and record the life performance under this constant load, so as to facilitate the understanding of the changes in the life performance of the transformer between load items under the continuous application of different loads. By comparing the actual load performance with the expected life, the durability of the transformer can be evaluated, especially the performance under high load conditions. The sudden recovery time refers to the time when the transformer component structure and the insulating material are subjected to excessive loads in a short period of time. The time required to recover to normal working state after load is an important performance indicator, which is related to the transformer's ability to resist load bursts in a short period of time in actual applications. In implementation, a reasonable mutation recovery time is set, and then the transformer is tested using a load item higher than the comprehensive load sensitivity within this time range. This can be done by simulating overload events to evaluate the behavior and recovery ability of the transformer after a sudden increase in load. Through these tests, the transformer's anti-burst performance can be obtained, and its response and stability under extreme load mutation conditions can be evaluated. The performance evaluation data obtained from durability and anti-burst performance will be comprehensively analyzed to form a comprehensive evaluation of the quality and safety load of dry-type transformers.

[0088] Further, if Figure 3 As shown, a dry-type transformer database is established, including:

[0089] S11: Collect historical maintenance data information of dry-type transformers, including multi-winding designs of various dry-type transformers;

[0090] S12: classifying the historical maintenance data information of the dry-type transformer according to the basic parameter information, the installation scenario information, the multi-winding design information, and the performance feedback information after the operation of the dry-type transformer, and establishing a data index entry according to the classification result;

[0091] S13: Construct a multi-winding design subset according to the multi-winding design of each dry-type transformer, and establish historical information tracking for each multi-winding design scheme for data calling in the quality and safety simulation space.

[0092] In this embodiment, historical data of dry-type transformers including maintenance records, performance test results and operation history are collected from various installation sites, with special attention paid to dry-type transformers with multi-winding designs. Design details of these transformers, such as winding materials, number of windings, voltage level of each winding, etc., are collected. The collected data are classified based on basic parameter information, installation scenario information, multi-winding design information, and performance feedback after operation, and an index is established for each type of data to realize data information query and call of multiple data categories under different multi-winding designs or the same multi-winding design. A detailed subset is created for each multi-winding design of dry-type transformer, which includes all relevant design and modification history. Each subset should record in detail all changes to the design, performance test results and their association with specific installation scenarios. A historical information tracking system is established to record the complete history of each transformer design from the initial design to all subsequent changes. The system supports time tags to track the timeline of design changes and the corresponding performance impact. The tracking system facilitates multiple interconnections between data and the call of multiple indexes.

[0093] Furthermore, the data for the quality and safety simulation space includes:

[0094] Determine the current power grid environment information and external environment information, match the power grid environment information and external environment information through the dry-type transformer database index, and construct simulation scenario factors, which are digital representations of installation scenario information in the quality and safety simulation space;

[0095] Determine the basic parameter information and multi-winding design information of the current dry-type transformer, match the basic parameter information and multi-winding design information through the dry-type transformer database index, and divide the acceleration control time into stages, and set different time acceleration factors for each stage according to the load performance;

[0096] According to the determined current power grid environment information and external environment information as well as the basic parameter information and multi-winding design information of the current dry-type transformer, the dry-type transformer database is matched and the performance feedback information of the corresponding dry-type transformer after operation is tracked to provide data support for the load simulation results.

[0097] As a preferred embodiment of the above embodiment, the current operating status of the power grid, including voltage level, frequency, load fluctuation, etc., is determined by real-time monitoring tools. These data can be automatically obtained through the smart grid management system. At the same time, environmental information related to the installation site, such as temperature, humidity, climate conditions, etc., is collected and determined. This information can be obtained from local meteorological data services or on-site sensors, and the data information matching it in the dry-type transformer database is called according to the monitored data information, and the power grid and external environmental information are digitized to form scenario factors that can be used for simulation, and a simulation space is established. The detailed basic parameters of the current transformer, such as model, power level, insulation type, etc., are extracted from the dry-type transformer database. The design information related to the transformer multi-winding, including the configuration of the winding, voltage level and connection type, etc., is extracted. According to the load performance of the transformer, the acceleration control time is divided, and different time acceleration factors are set for each stage to simulate the transformer behavior in different operating stages. The database index system is used to match and track the corresponding dry-type transformer performance feedback information after operation according to the determined power grid environmental information and external environmental information as well as the basic parameters and multi-winding design information, so as to provide necessary data support for the load simulation results.

[0098] Further, if Figure 4 As shown in the figure, the operation simulation of several load stages of the dry-type transformer is carried out based on the acceleration control time, including:

[0099] S31: Setting the time acceleration factor, which is used to define the conversion ratio between the length of time spent in the actual operation of the simulation and the actual time, so as to accelerate the simulation process to quickly obtain the effect of long-term operation;

[0100] S32: Based on the actual installation scenario information and multi-winding design information of the dry-type transformer, several specific load stages are defined, each stage represents a load condition that the transformer may encounter, and each load stage corresponds to a time acceleration factor;

[0101] S33: In each defined load stage, corresponding power grid environment and external environment parameters are loaded to perform simulation operation;

[0102] S34: Integrate the simulation results of all load stages, evaluate the performance of the dry-type transformer during the assumed full life cycle, and obtain the load simulation result.

[0103] As a preferred embodiment of the above, a time acceleration factor is set according to the actual length of time required for simulation. This factor is used to compress or expand the simulation time to match the many years that may be experienced in the actual process. For example, one day of simulation may represent one year of operation in reality. By adjusting the time acceleration factor, various possibilities and effects of long-term operation of the transformer can be quickly simulated within a limited time, thereby improving the efficiency and coverage of the test. Different load stages are defined according to the installation location and conditions of the transformer, such as different power demands and usage habits in industrial areas, residential areas or commercial areas. Based on the specific multi-winding design of the transformer, such as winding configuration and load bearing capacity, the specific situation to be simulated in each load stage is defined. Each load stage represents a typical situation that the transformer may encounter. For typical or extreme load conditions, a time acceleration factor is assigned to each defined load stage, so that the simulation can accelerate a specific stage or accurately reflect the long-term effects. In each defined load stage, the required simulation parameters are loaded according to the corresponding power grid environment and external environment, such as temperature changes, humidity, power grid load fluctuations, etc. During the execution process, simulation software, such as power system analysis tools, can be used to perform detailed simulation runs to ensure that the environment and design parameters of each stage can be accurately simulated, and the simulation results of each load stage are summarized, including key indicators such as the electrical performance, thermal performance, and durability of the transformer. Based on the simulation results, the overall performance of the transformer during the assumed full life cycle is evaluated, and its reliability, efficiency, and possible failure modes under different load and environmental conditions are analyzed.

[0104] Furthermore, the quality and safety assessment results are obtained through load simulation results, including:

[0105] Deep learning is performed on the dry-type transformer database to obtain the mapping relationship between basic parameter information, installation scenario information, multi-winding design information and the performance feedback information after the dry-type transformer is operated, as well as the mapping relationship between the basic parameter information, installation scenario information, multi-winding design information after fitting and the performance feedback information after the dry-type transformer is operated;

[0106] Set the time data management length, collect data on the operating performance of the installed dry-type transformers, enter the collected data into the dry-type transformer database, update the dry-type transformer database according to the time data management length, and adjust the mapping relationship;

[0107] The quality and safety of the load simulation results are evaluated according to the mapping relationship to obtain the quality and safety assessment results.

[0108] On the basis of the above implementation mode, deep learning technology is used to conduct deep learning and analysis on the data in the dry-type transformer database to obtain the mapping relationship between basic parameter information, installation scenario information, multi-winding design information and performance feedback information after the transformer is operated. This information is further fitted through deep learning to extract a more accurate relationship model, which helps to understand the specific impact of various parameters on transformer performance. A clear time data management length is set for the dry-type transformer in service. During this period, the system regularly collects the operating data of the transformer, and regularly enters the collected operating data into the dry-type transformer database, and performs database management based on the time data management length. Necessary data updates, including adding new data, deleting old data or correcting existing data. As new data is added and old data is updated, deep learning algorithms are used to readjust and optimize previously learned mapping relationships to ensure that the mapping relationships always reflect the latest equipment status and performance changes. Based on the mapping relationships obtained through deep learning, quality and safety evaluations are performed on the load simulation results, and the degree of conformity between the data at each stage of the simulation and the mapping relationships is analyzed. The performance and safety of the transformer under the expected load conditions are evaluated. Based on the evaluation process, a detailed quality and safety assessment report is generated, which may include quality and safety issues such as possible performance bottlenecks, fault predictions, and recommended maintenance measures for the transformer.

[0109] Embodiment 2

[0110] Based on the same inventive concept as the multi-winding design quality and safety assessment method for a dry-type transformer in the aforementioned embodiment, the present invention further provides a multi-winding design quality and safety assessment system for a dry-type transformer, the system comprising:

[0111] Constructing a database module to establish a dry-type transformer database, which includes basic parameter information, installation scenario information, multi-winding design information, and performance feedback information of the dry-type transformer after operation;

[0112] A load safety assessment module, wherein the installation scenario information includes power grid environment information and external environment information, and the quality safety load is assessed based on the power grid environment information and the external environment information;

[0113] The simulation operation space module builds a quality and safety simulation space for the dry-type transformer based on basic parameter information and multi-winding design information, and performs operation simulation on the multi-winding design of the dry-type transformer;

[0114] The quality and safety assessment module loads the quality and safety load in the quality and safety simulation space and sets the acceleration control time, performs operation simulation on several load stages of the dry-type transformer based on the acceleration control time, and obtains the quality and safety assessment result through the load simulation result.

[0115] The above-mentioned adjustment system in the present invention can effectively implement the multi-winding design quality and safety assessment method of the dry-type transformer, and the technical effects that can be achieved are as described in the above-mentioned embodiments and will not be repeated here.

[0116] Specifically, the load safety assessment module includes:

[0117] A load segment generation unit divides the power grid load phases according to the power grid environment information, and sorts the loads from high to low to generate a load segment sequence;

[0118] A disturbance segment generation unit divides the external disturbance phases according to the external environment information, and sorts the disturbances from high to low to generate a disturbance segment sequence;

[0119] The comprehensive load generation unit arranges and combines the load segment sequence and the disturbance segment sequence, and sorts the arrangement and combination results according to the level of the load and the disturbance to generate a comprehensive load sequence;

[0120] The sensitivity setting unit sets the comprehensive load sensitivity based on the dry-type transformer database, and performs quality safety load assessment on the comprehensive load sequence through the comprehensive load sensitivity.

[0121] Similarly, the above-mentioned optimization schemes for the system can also respectively achieve the optimization effects corresponding to the method in Example 1, which will not be repeated here.

[0122] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined therein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A method for evaluating the quality and safety of multi-winding design of a dry-type transformer, characterized in that: The method comprises: Establishing a dry-type transformer database, the dry-type transformer database includes basic parameter information, installation scenario information, multi-winding design information of the dry-type transformer, and performance feedback information of the dry-type transformer after operation; The installation scenario information includes power grid environment information and external environment information, and the quality safety load is evaluated according to the power grid environment information and the external environment information; Constructing a quality and safety simulation space for the dry-type transformer based on the basic parameter information and the multi-winding design information, and performing an operation simulation on the multi-winding design of the dry-type transformer; Loading the quality safety load in the quality safety simulation space, setting an acceleration control time, performing operation simulation on several load stages of the dry-type transformer based on the acceleration control time, and obtaining a quality safety assessment result through the load simulation result; Evaluating the quality safety load according to the power grid environment information and the external environment information, including: Dividing the grid load phases according to the grid environment information, and sorting the loads from high to low to generate a load segment sequence; Dividing the external disturbance stages according to the external environment information, and sorting them from high to low according to the disturbance, to generate a disturbance segment sequence; The load segment sequence and the disturbance segment sequence are arranged and combined, and the arrangement and combination results are sorted according to the load and disturbance levels to generate a comprehensive load sequence; Setting a comprehensive load sensitivity based on the dry-type transformer database, and performing a quality safety load assessment on the comprehensive load sequence through the comprehensive load sensitivity; The operation simulation of several load stages of the dry-type transformer is performed based on the acceleration control time, including: Set the time acceleration factor to define the conversion ratio between the actual time length and the actual time in the simulation, so as to speed up the simulation process and quickly obtain the effect of long-term operation; According to the actual installation scenario information and multi-winding design information of the dry-type transformer, several specific load stages are defined, each stage represents a load condition that the transformer may encounter, and each load stage corresponds to one of the time acceleration factors; In each defined load stage, the corresponding grid environment and external environment parameters are loaded to perform simulation operation; Combining the simulation results of all the load stages, evaluating the performance of the dry-type transformer in the assumed full life cycle, and obtaining the load simulation results; The quality and safety assessment results are obtained through load simulation results, including: Performing deep learning on the dry-type transformer database to obtain mapping relationships between the basic parameter information, installation scenario information, and multi-winding design information and performance feedback information after the dry-type transformer is operated, and mapping relationships between the basic parameter information, installation scenario information, and multi-winding design information after fitting and the performance feedback information after the dry-type transformer is operated; Setting a time data management length, collecting data on the operating performance of the installed dry-type transformer, entering the collected data into the dry-type transformer database, updating the data of the dry-type transformer database according to the time data management length, and adjusting the mapping relationship; The quality and safety of the load simulation result is evaluated according to the mapping relationship to obtain the quality and safety evaluation result.

2. The multi-winding design quality safety assessment method for dry-type transformers according to claim 1 is characterized in that: The comprehensive load sequence is evaluated for quality safety load by using the comprehensive load sensitivity, including: Traversing the comprehensive load sequence to determine whether there is a load item corresponding to the comprehensive load sensitivity; If it exists, the comprehensive load sensitivity is marked on the corresponding load item, and the ratio of the load items higher than the comprehensive load sensitivity to the load items lower than the comprehensive load sensitivity is determined, and the quality safety load is evaluated according to the ratio; If it does not exist, select any one of the load items and determine the relationship between the load carried by the load item and the comprehensive load sensitivity; If it is higher than the comprehensive load sensitivity, the comprehensive load sequence is marked as an overload sequence; if it is lower than the comprehensive load sensitivity, the comprehensive load sequence is marked as an unloaded sequence.

3. The multi-winding design quality safety assessment method for dry-type transformers according to claim 2 is characterized in that: Evaluating the mass safety load according to the ratio includes: Obtaining the expected life of the dry-type transformer, obtaining the life performance of the dry-type transformer on each load item according to the comprehensive load sensitivity and ratio, and evaluating the durability performance according to the expected life; Set a sudden recovery time, which is the recovery time of the component structure and the insulation material after being subjected to a high load in a short time, and test the dry-type transformer with a load item higher than the comprehensive load sensitivity within a unit time to obtain the anti-explosion performance; The mass safety load is evaluated based on the durability performance and the anti-explosion performance.

4. The multi-winding design quality safety assessment method for dry-type transformers according to claim 1 is characterized in that: Establish a dry-type transformer database, including: Collect historical maintenance data of dry-type transformers, including multi-winding designs of various dry-type transformers; And classify the historical maintenance data information of the dry-type transformer according to the basic parameter information, installation scenario information, multi-winding design information and performance feedback information after the operation of the dry-type transformer, and establish a data index entry according to the classification result; A multi-winding design subset is constructed according to the multi-winding design of each dry-type transformer, and historical information tracking of each multi-winding design scheme is established for the quality and safety simulation space to call data.

5. The multi-winding design quality safety assessment method for dry-type transformers according to claim 4 is characterized in that: Provide data for the quality and safety simulation space to call, including: Determine the current power grid environment information and external environment information, match the power grid environment information and external environment information through the dry-type transformer database index, and construct a simulation scenario factor, where the simulation scenario factor is a digital representation of the installation scenario information in the quality and safety simulation space; Determine basic parameter information and multi-winding design information of the current dry-type transformer, match the basic parameter information and multi-winding design information through the dry-type transformer database index, and divide the acceleration control time into stages, and set different time acceleration factors for each stage according to load performance; According to the determined current power grid environment information and external environment information as well as the basic parameter information and multi-winding design information of the current dry-type transformer, the dry-type transformer database is matched and the corresponding performance feedback information of the dry-type transformer after operation is tracked to provide data support for the load simulation results.

6. Multi-winding design quality and safety assessment system for dry-type transformers, characterized in that: The multi-winding design quality and safety assessment method for a dry-type transformer according to claim 1 is adopted, wherein the system comprises: Constructing a database module to establish a dry-type transformer database, wherein the dry-type transformer database includes basic parameter information, installation scenario information, multi-winding design information, and performance feedback information of the dry-type transformer after operation; A load safety assessment module, wherein the installation scenario information includes power grid environment information and external environment information, and a quality safety load is assessed based on the power grid environment information and external environment information; A simulation operation space module is used to construct a quality and safety simulation space for the dry-type transformer based on the basic parameter information and the multi-winding design information, and to perform operation simulation on the multi-winding design of the dry-type transformer; A quality and safety assessment module, which loads the quality and safety load in the quality and safety simulation space and sets an acceleration control time, performs operation simulation on several load stages of the dry-type transformer based on the acceleration control time, and obtains a quality and safety assessment result through the load simulation result; The load safety assessment module includes: A load segment generating unit, which divides the power grid load phases according to the power grid environment information, and sorts the loads from high to low to generate a load segment sequence; A disturbance segment generating unit, which divides the external disturbance phases according to the external environment information, and sorts the disturbances from high to low to generate a disturbance segment sequence; A comprehensive load generation unit arranges and combines the load segment sequence and the disturbance segment sequence, and sorts the arrangement and combination results according to the level of the comprehensive load and the disturbance to generate a comprehensive load sequence; A sensitivity setting unit sets a comprehensive load sensitivity based on the dry-type transformer database, and performs a quality safety load assessment on the comprehensive load sequence through the comprehensive load sensitivity.

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