Bus performance evaluation method and system based on magnetic thermal stress coupling analysis

Abstract

The invention provides a bus efficiency evaluation method and system based on magnetic thermal stress coupling analysis, and relates to the technical field of multi-physics field coupling analysis, and the method comprises the steps: setting a preset aggregation scale, carrying out the three-dimensional simulation of a target domain bus, carrying out the cluster network reconstruction based on the preset aggregation scale, and determining a reconstructed bus topology; for the reconstructed bus topology, a magnetic-thermal-stress three-in-one physical field is constructed, an evaluation system based on a bus state is introduced, a lightweight evaluation module is supervised and trained, and the bus state comprises a ground state and an off state; sampling deployment of a target domain bus is carried out, bus distributed sensing sampling is triggered and transmitted back to the lightweight evaluation module, sampling data aggregation reconstruction and index system evaluation based on the bus state are executed, and the bus efficiency is determined. The bus performance evaluation method solves the technical problem that the evaluation result is inaccurate due to the fact that the bus performance evaluation method in the prior art mostly depends on analysis of a single physical field and cannot comprehensively reflect the performance of the bus in actual operation.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-physics field coupling analysis, and in particular to a busbar efficiency evaluation method and system based on magnetothermal stress coupling analysis. Background Art

[0002] The operating condition of the busbar directly affects the stability of the power grid. Especially under extreme operating conditions such as high load, high temperature and high stress, the busbar may face problems such as overload, overheating and structural damage. Therefore, effectively evaluating the performance of the busbar and detecting potential faults in advance are key to ensuring the safe and stable operation of the power system.

[0003] However, traditional busbar performance evaluation methods mostly rely on the analysis of a single physical field, such as temperature field, current field or stress field analysis. However, the busbar's operating environment involves the interaction of multiple physical fields. The evaluation method of a single field often cannot fully reflect the performance of the busbar in actual operation. Especially under conditions of extreme loads and multi-field coupling, the analysis of a single field may lead to inaccurate evaluation results and fail to predict the behavior and failure risk of the busbar under complex working conditions, which in turn leads to delayed fault warning and increases the risk of system outage. Summary of the Invention

[0004] This application provides a busbar efficiency evaluation method and system based on magnetothermal stress coupling analysis, aiming to solve the technical problem that the busbar efficiency evaluation methods in the existing technology mostly rely on the analysis of a single physical field, ignore the coupling effect between these physical fields, cannot fully reflect the performance of the busbar in actual operation, and lead to inaccurate evaluation results.

[0005] The first aspect disclosed in the present application provides a bus efficiency evaluation method based on magnetothermal stress coupling analysis, the method comprising: setting a preset aggregation scale, performing three-dimensional simulation of the target domain bus and reconstructing the cluster network based on the preset aggregation scale to determine the reconstructed bus topology; constructing a magnetic-thermal-stress trinity physical field for the reconstructed bus topology, introducing an evaluation system based on the bus state, and supervising the training of a lightweight evaluation module, wherein the bus state includes a ground state and an off state, and the evaluation system is an indicator system based on a single field-coupled field; performing sampling deployment of the target domain bus, triggering bus distributed sensor sampling, and transmitting the sampling data back to the lightweight evaluation module, executing aggregation reconstruction of the sampling data and evaluation of the indicator system based on the bus state, and determining the bus efficiency.

[0006] The second aspect disclosed in the present application provides a bus efficiency evaluation system based on magneto-thermal stress coupling analysis, which is used for the above-mentioned bus efficiency evaluation method based on magneto-thermal stress coupling analysis. The system includes: a cluster network reconstruction unit, which is used to set a preset aggregation scale, perform three-dimensional simulation of the target domain bus and reconstruct the cluster network based on the preset aggregation scale, and determine the reconstructed bus topology; a physical field construction unit, which is used to construct a magnetic-thermal-stress trinity physical field for the reconstructed bus topology, and introduce an evaluation system based on the bus state to supervise the training of a lightweight evaluation module, wherein the bus state includes a ground state and an off state, and the evaluation system is an indicator system based on a single field-coupled field; a bus efficiency determination unit, which is used to perform sampling deployment of the target domain bus, trigger bus distributed sensor sampling, and transmit it back to the lightweight evaluation module, execute sampling data aggregation reconstruction and indicator system evaluation based on the bus state, and determine the bus efficiency.

[0007] One or more technical solutions provided in this application have at least the following beneficial effects:

[0008] By setting a preset aggregation scale, performing a three-dimensional simulation of the target domain bus and reconstructing the cluster network based on the scale, the complex structure of the bus can be simplified without losing details, which is convenient for subsequent physical field analysis and evaluation. At the same time, through the reconstruction of the cluster network, more accurate modeling and analysis can be performed on the key areas of the bus, reducing unnecessary calculations and improving calculation efficiency. By constructing a physical field model of the magnetic field, temperature field and stress field, the various performances of the bus in actual operation can be fully considered. This multi-physical field coupling analysis can accurately evaluate the performance of the bus under different working conditions, ensuring that the working status of the bus can be grasped in real time during power grid operation. The supervised training of the block makes the evaluation system more efficient and accurate, avoids excessive resource consumption, and provides a quick response to real-time status. The lightweight evaluation module can dynamically adapt to different bus states and improve the flexibility of the system; the distributed sensor sampling of the bus enables the system to monitor the status of each key area of the bus in real time and form an accurate description of the bus state. By transmitting the sensor data back to the lightweight evaluation module and performing data aggregation and reconstruction, accurate performance evaluation can be achieved based on the data. Evaluation based on the indicator system of the bus state can ensure that the bus performance of the system in different states is comprehensively evaluated, which helps to improve the operational safety of the power grid and reduce the probability of failures.

[0009] 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

[0010] Figure 1 A schematic flow chart of a busbar efficiency evaluation method based on magnetothermal stress coupling analysis provided in an embodiment of the present application.

[0011] Figure 2 Schematic diagram of the structure of a busbar efficiency evaluation system based on magnetothermal stress coupling analysis provided in an embodiment of the present application.

[0012] Description of the reference numerals: cluster network reconstruction unit 10 , physical field construction unit 20 , bus efficiency determination unit 30 . DETAILED DESCRIPTION

[0013] The embodiments of the present application provide a busbar efficiency evaluation method and system based on magnetothermal stress coupling analysis, thereby solving the technical problem that the busbar efficiency evaluation methods in the prior art mostly rely on the analysis of a single physical field, ignore the coupling effects between these physical fields, and cannot fully reflect the performance of the busbar in actual operation, resulting in inaccurate evaluation results.

[0014] After introducing the basic principles of this application, various non-limiting embodiments of this application will be specifically described below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain this application and are not used to limit this application.

[0015] Example 1, as Figure 1 As shown, an embodiment of the present application provides a busbar efficiency evaluation method based on magnetothermal stress coupling analysis, the method comprising:

[0016] A preset aggregation scale is set, a three-dimensional simulation of the target domain bus is performed, and a cluster network reconstruction based on the preset aggregation scale is performed to determine the reconstructed bus topology.

[0017] Set a preset aggregation scale. This scale is designed to aggregate the complex structure of the target domain busbars using a specific scale standard. The preset aggregation scale is determined by factors such as busbar location, load characteristics, and grid structure. The goal of setting the preset aggregation scale is to appropriately simplify the busbar structure while retaining sufficient physical properties to facilitate subsequent magnetic, thermal, and stress analysis.

[0018] After setting the aggregation scale, a three-dimensional simulation is performed on the busbar in the target domain. The three-dimensional simulation is designed to understand the performance and status of the busbar under different conditions. In this simulation, many factors such as the busbar's geometry, material properties, and working environment are considered.

[0019] After completing the three-dimensional simulation, a cluster network reconstruction based on a preset aggregation scale is performed. The purpose is to convert the complex busbar structure into a more simplified form to facilitate subsequent physical field analysis. Specifically, according to the preset aggregation scale, the target domain bus is gradually aggregated into domains. Each aggregation domain represents a group of busbar areas that are relatively close in space and have similar functions. The purpose of this is to reduce the number of buses that need to be considered in subsequent analysis. After the busbar domain is aggregated, each aggregation domain is identified and formed into an aggregation cluster. Each aggregation cluster contains a certain number of buses or grid components. The formation of aggregation clusters will facilitate subsequent calculations and evaluations, simplifying the complex grid model into several clusters. Through the reconstruction of the above aggregation clusters, a reconstructed busbar topology is obtained. This topology represents the simplified and aggregated busbar structure and is the basis for subsequent physical field analysis, performance evaluation, and monitoring.

[0020] For the reconstructed busbar topology, a magnetic-thermal-stress trinity physical field is constructed, and an evaluation system based on the busbar state is introduced to supervise the training of a lightweight evaluation module. The busbar state includes a ground state and an off state, and the evaluation system is an indicator system based on a single field-coupled field.

[0021] The magnetic-thermal-stress trinity physical field construction is carried out for the reconstructed busbar topology, including the magnetic field domain construction, the temperature field construction, and the stress field construction. The coupling analysis of these three physical fields is crucial because they influence each other and may act together on the performance of the busbar. For example, an increase in temperature will affect the resistance of the busbar, thereby changing the magnetic field and stress distribution. Therefore, the magnetic-thermal-stress trinity physical field construction requires simultaneous consideration of the coupling effects of these three physical fields to obtain a more accurate and comprehensive busbar performance evaluation.

[0022] After constructing the trinity physical field, an evaluation system based on busbar states was established. Busbar states include base state and off state. These two states influence how busbar performance is evaluated. The base state refers to the busbar in normal operating condition, where current, temperature, and stress are within safe ranges and the busbar's efficiency and performance meet design requirements. The off state refers to the busbar in an abnormal or faulty state, such as overload, overheating, or excessive stress, which may lead to damage or failure. The evaluation system evaluates the busbar's performance based on its different operating states. This evaluation system considers not only individual physical fields but also the coupling effects between these fields.

[0023] The evaluation system is an indicator system based on single field and coupled field. Among them, single field indicators refer to the evaluation indicators of a single physical field, such as magnetic field strength, temperature change, stress value, etc. These indicators can help evaluate the impact of a single physical field on the bus performance; coupled field indicators refer to the evaluation indicators of the mutual influence and synergy between multiple physical fields, such as magnetic field, thermal field, and stress field. For example, the coupling of temperature field and stress field may cause thermal expansion and deformation of the material. This coupling effect will affect the overall performance of the bus.

[0024] The lightweight evaluation module is trained in a supervised manner. This module is used to conduct dynamic performance evaluation based on the real-time status data of the busbar, combined with the established physical field model and evaluation system. In order to improve the accuracy and intelligence of the evaluation, the lightweight evaluation module is trained using supervised learning and uses historical data to optimize the evaluation model. This enables the evaluation module to make more accurate performance predictions for different busbar states under different operating conditions.

[0025] Conduct sampling deployment of the target domain bus, trigger distributed sensor sampling of the bus, and transmit the data back to the lightweight evaluation module to perform aggregation and reconstruction of the sampled data and evaluation of the indicator system based on the bus status to determine the bus efficiency.

[0026] Distributed sensors are deployed at selected sampling points. These sensors include current sensors, temperature sensors, and stress sensors, which are used to monitor changes in magnetic fields, temperature fields, and stress fields, respectively. Once deployed, busbar distributed sensing sampling is triggered. This means that sampling is not just at fixed intervals, but is dynamically triggered based on actual conditions. For example, when the busbar load changes, the sampling frequency is automatically increased to obtain more detailed data. This dynamic sampling method ensures that key data can be captured in a timely manner when the busbar operating status changes.

[0027] All collected sensor data is transmitted back to the lightweight evaluation module. The lightweight evaluation module calculates the current performance of the busbar by combining the physical field model of three-dimensional simulation and the evaluation system. It can evaluate its performance based on the actual state of the busbar (base state or off state). If the busbar is in the base state, it means that its performance is within the normal range, and the evaluation result will show the working efficiency and stability of the busbar; if the busbar is in the off state, it means that it has a fault or risk, and the evaluation result will indicate the need for repair or replacement measures.

[0028] Furthermore, by setting aggregation features, a preset aggregation scale based on each aggregation feature is set; wherein the aggregation features at least include bus distribution position, load characteristics, and grid structure.

[0029] Aggregation characteristics are set. Aggregation characteristics include at least bus distribution location, load characteristics, and grid structure. The bus distribution location refers to the specific location of the bus in the grid, which affects the working conditions and performance of the bus. For example, the bus located in the center of the grid bears a larger load, while the bus in the edge area is relatively lightly loaded. Load characteristics refer to the type of load borne by the bus and the volatility of the load. Changes in load will affect the bus's physical properties such as current size and temperature rise. For example, the load in some areas will show periodic fluctuations, while some areas may be under heavy load for a long time. These load characteristics affect the temperature and stress of the bus, and thus affect its performance. The overall structure of the grid determines the layout of the bus, the connection relationship and the location of other electrical components. The grid structure includes the connection method between the bus and the transformer, switchgear, branch, etc. By understanding the structure of the grid, we can better divide the bus area, judge the load distribution, and then determine the aggregation characteristics of each area.

[0030] These characteristics are used to set a preset aggregation scale. The purpose of the preset aggregation scale is to simplify the complex busbar structure, making the analysis more efficient and reducing the amount of calculation. Specifically, by determining the action area and stress conditions of each busbar through location, the aggregation scale of the busbar area can be determined, facilitating subsequent analysis. The intensity, volatility and other characteristics of the load directly affect the current, temperature and other characteristics of the busbar. Therefore, setting the aggregation scale based on load characteristics helps optimize the analysis process. The overall topology of the power grid and the connection relationship between the buses affect the electrical coupling between the buses. The power grid structure, as an aggregation feature, can help reasonably determine the aggregation area of the busbar.

[0031] Furthermore, performing a three-dimensional simulation of the target domain bus and reconstructing a cluster network based on the preset aggregation scale includes:

[0032] A three-dimensional simulated bus is determined, and bus domain aggregation is performed on the three-dimensional simulated bus according to the preset aggregation scale to identify an aggregation cluster; the aggregation cluster is identified, and a reconstruction node is introduced to replace each aggregation domain in the cluster with the reconstruction node to reorganize and determine the reconstructed bus topology, wherein the reconstruction node replaced by each aggregation domain identifies the post-domain bus characteristics.

[0033] A three-dimensional busbar model is constructed based on the grid structure and busbar distribution. The three-dimensional simulation takes into account the actual size, arrangement, connection method, and position of the busbar in the grid, ensuring that the simulation results can truly reflect the spatial distribution and geometry of the busbar. During the three-dimensional simulation process, the busbar is given physical properties, such as material characteristics, electrical parameters, thermal properties, and mechanical properties. These properties will affect the behavior of the busbar during operation. Therefore, three-dimensional simulation is the basis for analyzing busbar performance.

[0034] The busbar domains of the 3D busbar simulation are aggregated according to a preset aggregation scale. Specifically, the 3D busbar simulation is divided into multiple aggregation domains based on the preset aggregation scale. The aggregation scale setting directly affects the busbar domain aggregation method. A larger aggregation scale aggregates multiple smaller busbar regions into a large cluster, while a smaller aggregation scale makes each aggregation domain more refined, preserving more detail. Each aggregation domain represents a group of busbar regions with similar physical properties, and each aggregation domain is identified as an aggregation cluster. A cluster is a group of busbar regions that share certain characteristics. This process is intended to simplify the busbar structure and make subsequent magnetic-thermal-stress coupling analysis more efficient.

[0035] Identify the marked clusters and confirm the busbar regions within each cluster. Within the cluster, replace each cluster domain by introducing reconstruction nodes. A reconstruction node is a comprehensive representation of multiple busbar regions within the cluster. It is usually a virtual node that replaces each individual busbar in the cluster. These reconstruction nodes can simplify the busbar topology while preserving the overall physical properties of the cluster. Each reconstruction node has specific physical properties, representing the cluster's magnetic field, temperature field, stress field, and other characteristics. By replacing the busbar regions within the cluster with reconstruction nodes, the reconstructed busbar topology is determined. This reconstructed topology is simpler and more refined, facilitating subsequent calculations and analysis.

[0036] Furthermore, performing busbar domain aggregation on the three-dimensional simulated busbar includes:

[0037] The preset aggregation scales of the aggregation features are traversed, and bus domain aggregation is performed on the three-dimensional simulated bus in parallel to determine multiple clusters, wherein the multiple clusters correspond one-to-one to the aggregation features; the multiple clusters are traversed, and the intersection between the clusters is taken as the cluster.

[0038] Aggregation features include at least busbar distribution location, load characteristics, and grid structure. Each aggregation feature corresponds to a different scale, so it is necessary to set a different aggregation scale for each feature. Based on the different aggregation features and the corresponding preset aggregation scales, the three-dimensional simulated busbars are aggregated in parallel. The goal of this process is to ensure that the aggregation scales of different features can cooperate with each other, so that each busbar area can be appropriately aggregated and divided according to its grid location, load type, grid structure and other characteristics. After the parallel aggregation operation, multiple types of aggregation clusters are obtained, that is, each aggregation feature corresponds to an aggregation cluster. These aggregation clusters represent the areas divided under different aggregation features. Each type of aggregation cluster corresponds one-to-one with a specific aggregation feature, and the buses within these clusters have similar characteristics.

[0039] Multiple clusters are traversed to identify which clusters have overlapping parts and how to merge these overlapping parts into a valid cluster. Specifically, different cluster features lead to different clusters, and these clusters may have intersections. By taking the intersection between classes, the final cluster is obtained. This cluster can simultaneously meet the requirements of multiple cluster features. For example, a part of the bus belongs to a certain cluster in terms of the structural characteristics of the power grid, but belongs to another cluster in terms of load characteristics. By taking the intersection, a cluster containing the characteristics of both is finally obtained.

[0040] Furthermore, a magnetic-thermal-stress trinity physical field is constructed, and an evaluation system based on busbar state is introduced, including:

[0041] The physical field is determined based on the distribution space of the reconstructed busbar topology; the magnetic field, temperature field and stress field are constructed based on the physical field, and the performance evaluation indicators based on magneto-thermal-stress are mined to construct the evaluation system, wherein the performance evaluation indicators include single field indicators and coupled field indicators.

[0042] Physical fields refer to areas within a busbar system that can carry different physical fields, such as magnetic fields, thermal fields, and stress fields. The definition of these fields depends on the busbar's geometry and its surrounding environment. For example, the magnetic field is typically related to the current distribution, and magnetic fields may be generated in areas near the busbar. The temperature field is primarily related to the busbar's current load and thermal conductivity characteristics, and the temperature distribution in different areas affects the performance of the power grid. The stress field focuses on the busbar's mechanical load and stress distribution. The spatial distribution of these physical fields is determined based on the busbar's topological structure and the interrelationships between these physical properties. For example, simulation software is used to calculate the distribution of the temperature, magnetic, and stress fields in each busbar area, and different physical fields are then defined accordingly.

[0043] Specific magnetic field domains, temperature fields, and stress fields are constructed based on the physical field. Specifically, the construction of the magnetic field domain is based on the magnetic field generated when current passes through the busbar. Factors such as the current distribution, position, and grid topology of the busbar will affect the distribution of the magnetic field. By three-dimensional modeling of the busbar, electromagnetic field theory can be applied to calculate the magnetic field distribution around the busbar. The calculated magnetic field distribution can help determine the electromagnetic interference in the grid and the current carrying capacity of the busbar. The construction of the temperature field is based on factors such as the resistance characteristics, current load, and thermal conductivity coefficient of the busbar. The busbar will generate heat during operation, affecting the temperature distribution of the surrounding environment. The construction of the temperature field is usually carried out through heat conduction equations and heat source analysis. The calculated temperature field distribution can help evaluate the heat dissipation efficiency and temperature rise of the busbar. The construction of the stress field takes into account factors such as the mechanical load, temperature change, and elastic properties of the busbar. The busbar will expand due to heat when carrying current, and may generate stress at the connection point or stress-bearing part. By analyzing the stress distribution of the busbar, its structural stability and anti-deformation ability can be evaluated.

[0044] Based on these fields, magnetic-thermal-stress performance evaluation indicators are developed. These indicators are used to analyze the performance of busbar systems under different physical conditions. They include single-field indicators and coupled-field indicators. Single-field indicators are used to evaluate the performance of a single physical field, including magnetic field indicators, temperature field indicators, and stress field indicators. Coupled-field indicators consider the interaction between magnetic field, temperature field, and stress field, including thermal-magnetic coupling indicators, thermal-stress coupling indicators, and magnetic-stress coupling indicators. Based on these single-field and coupled-field indicators, a complete performance evaluation system is constructed to comprehensively evaluate busbar performance.

[0045] Furthermore, the performance evaluation indicators based on magnetism, heat and stress are explored, including:

[0046] For the magnetic field domain, temperature field and stress field, combined with busbar operation and maintenance data, single field indicators and field mutual coupling indicators are mined; the single field indicators are taken as the first order and the field mutual coupling indicators are taken as the second order, and the performance is associated and weighted to determine the evaluation system.

[0047] Through busbar operation and maintenance data, such as operating load, temperature, stress, mechanical damage, etc., the performance indicators of single physical fields are mined. These indicators are used to evaluate the impact of each physical field on the busbar performance. Specifically, for magnetic field domain indicators, by analyzing the current distribution and electromagnetic effect of the busbar, the magnetic field distribution around the busbar and its impact on the power grid system are calculated. Relevant single-field indicators include magnetic field strength, magnetic flux density, and electromagnetic force; for temperature field indicators, the busbar will generate heat during operation, affecting its temperature distribution. The change in temperature is directly related to the electrical and material properties of the busbar. Relevant single-field indicators include temperature rise, heat flux density, and thermal stability; for stress field indicators, the busbar will be affected by factors such as mechanical load and thermal expansion during operation, generating stress. Relevant single-field indicators include maximum stress point, stress distribution, and material strength.

[0048] There is a coupling effect between magnetic fields, temperature fields, and stress fields. For example, the heat generated during the operation of the busbar will affect its material properties, and the temperature increase may cause the busbar material to expand thermally, thereby affecting the stress distribution. The interaction between these fields can produce new performance indicators, called field mutual coupling indicators. Relevant indicators include: thermal-magnetic coupling effect. When current passes through the busbar, the magnetic field generated by the current may affect the temperature field. For example, the resistive thermal effect and magnetocaloric effect when current passes through the busbar jointly determine the temperature rise of the busbar; thermal-stress coupling effect. Changes in temperature will cause the busbar material to expand, generating thermal stress, which further affects the mechanical properties of the busbar. For example, temperature increases will cause the elastic modulus of the material to change, thereby affecting the busbar's force-bearing capacity and causing potential structural damage; magnetic-stress coupling effect. The impact of the magnetic field on the busbar is not limited to current. It will also generate mechanical stress on the busbar through electromagnetic force. The stress under the action of electromagnetic force may cause local deformation or damage to the busbar, especially in high load or high magnetic field environments; and, in addition to the thermal stress and magnetic stress inside the busbar, external environmental factors such as wind and vibration will also affect the stress of the busbar. These external stresses work together with the internal stress of the busbar to aggravate the structural damage or failure of the busbar.

[0049] Taking single-field indicators as the first order, these indicators mainly focus on the performance of each physical field separately, reflecting the independent influence of each field on the bus performance; taking field mutual coupling indicators as the second order, these indicators reflect the interaction and coupling effects between different physical fields. According to the role and importance of different indicators, single-field indicators and coupled field indicators are correlated. The purpose of the correlation is to establish a comprehensive evaluation model that can fully consider the influence of each individual physical field and the interaction between them at the same time. Each indicator is weighted according to its importance in the overall evaluation. Generally, the distribution of weights can be based on historical operation and maintenance data, expert experience or the needs of actual scenarios. For example, under high load conditions, the temperature field may be more important than the magnetic field; in low temperature environments, the magnetic field dominates.

[0050] By combining all single-field and coupled-field indicators and assigning reasonable weights, a complete performance evaluation system is formed. This system can obtain a comprehensive performance score by weighted summation of single-field and coupled-field indicators. It is used to analyze the overall performance of the busbar under different working conditions and evaluate its working efficiency, stability and reliability.

[0051] Furthermore, constructing the evaluation system includes:

[0052] Integrate the performance evaluation indicators, decouple the indicators based on the base state and the off-state, and determine the base state performance evaluation subsystem and the off-state performance evaluation subsystem; add the base state performance evaluation subsystem and the off-state performance evaluation subsystem into the evaluation system, wherein the subsystem is triggered according to the real-time bus status.

[0053] All single-field and coupled-field indicators are integrated to decouple indicators based on the base state and off-state. The base state refers to the performance of the busbar in normal operation. In the base state, the busbar operates within the predetermined load range, the distribution of physical fields such as temperature, magnetic field, and stress is relatively stable, and the system operates efficiently. In this state, the performance evaluation indicators mainly focus on the normal performance of the busbar, such as whether the temperature is within the acceptable range, whether the stress is excessive, and whether the magnetic field is uniform. All base-state performance evaluation indicators constitute the base-state performance evaluation subsystem. The off-state refers to the performance of the busbar when a fault or abnormal condition occurs. In the off-state, the busbar may encounter short circuits, overloads, abnormal voltages, etc., causing the system to exhibit unstable physical characteristics. In this state, the performance evaluation indicators mainly focus on abnormal behavior of the busbar, such as excessively high temperatures, extreme stresses, or uneven magnetic fields, and evaluate the performance of the busbar under extreme load or fault conditions. All off-state performance evaluation indicators constitute the off-state performance evaluation subsystem.

[0054] The base-state and off-state performance evaluation subsystems are incorporated into the overall evaluation system. This system encompasses both normal performance evaluation indicators in the base-state and fault diagnosis indicators in the off-state, enabling comprehensive monitoring and evaluation of the busbar. When the system detects that the busbar is operating normally, the evaluation system will conduct an assessment based on the base-state performance evaluation subsystem. When the system detects a fault, the off-state performance evaluation subsystem is triggered for evaluation. Through real-time state recognition and subsystem switching, the evaluation system can dynamically adjust during busbar operation, ensuring accurate busbar performance assessment in all situations.

[0055] Furthermore, the sample data aggregation reconstruction and the evaluation of the indicator system based on the bus status are performed, including:

[0056] The sensor point cloud data is transmitted back, and the aggregation vector of the sensor point cloud data is determined based on the reconstructed busbar topology, and the reconstructed sensor distribution is determined by conversion; and a magnetic-thermal-stress-based field analysis is performed on the reconstructed sensor distribution to determine the busbar efficiency.

[0057] The sensor point cloud data is transmitted back. The sensor point cloud data is real-time data points collected by multiple sensors distributed on the bus. It contains data on temperature, current, voltage, stress, etc. These data points represent the status of the bus at different positions and can help monitor the performance of the bus in real time.

[0058] The sensor point cloud data is processed according to the reconstructed busbar topology. This topological structure helps map the sensor data to specific busbar locations and determine which areas or busbar segments require sensor data aggregation. The aggregation vector is formed by combining the sensor data according to the busbar segment division to obtain the overall data characteristics of each aggregated segment. During the aggregation process, the data fluctuation characteristics of each aggregated segment can be calculated. The data fluctuation represents the changes in the busbar area during operation. For example, the temperature or current in certain areas may fluctuate significantly, indicating that the area may be overloaded, short-circuited, or have other abnormalities. Preferably, by analyzing the fluctuation characteristics of the aggregation vector, it is possible to determine which areas have the largest fluctuations. For these areas with large fluctuations, further performance evaluation can be focused on them. These areas are often potential high-risk areas and may require special attention or optimization. The aggregation vector results in a more simplified reconstructed sensor distribution that represents the overall state of the busbar. This distribution is used in subsequent analysis to help determine the performance and potential problems of each area of the busbar.

[0059] Reconstructing the sensor distribution provides a simplified busbar area data, which, combined with the analysis of the magnetic field, temperature field and stress field, can provide a more comprehensive assessment of the busbar status and thus determine the busbar effectiveness.

[0060] Furthermore, if the bus state is determined, the base state performance evaluation subsystem or the off-state performance evaluation subsystem is triggered; if the bus state is not determined, the base state performance evaluation subsystem is triggered to perform an evaluation to determine the first bus performance; if the first bus performance does not meet the standard condition range, the off-state performance evaluation subsystem is triggered to perform a secondary evaluation.

[0061] If the busbar status has been confirmed through real-time monitoring and data analysis, that is, it is known to be in normal operating state or fault state, then the corresponding performance evaluation subsystem can be directly triggered. Among them, if the busbar is in normal operating state, that is, the base state, the base state performance evaluation subsystem is triggered to perform performance evaluation under normal operation; if the busbar status has been determined to be a fault or abnormal state, that is, the off state, the off state performance evaluation subsystem is triggered to evaluate the performance of the busbar in the abnormal state.

[0062] If the bus status is unclear, that is, the current status of the bus cannot be identified, the base state performance evaluation subsystem will be triggered to perform an evaluation first. This evaluation is based on the normal operating conditions of the bus, and mainly checks the performance of the bus under normal load, temperature, stress and other conditions. If the various performance indicators of the bus meet the predetermined standard range, it means that the bus is operating normally.

[0063] If the base-state performance evaluation results indicate that the busbar's performance indicators do not meet the standard range, for example, the temperature is too high, the current is too large, or the stress is concentrated, it indicates that the busbar has an abnormality and may not be able to work normally or has shown certain signs of failure. In this case, the off-state performance evaluation subsystem is triggered to conduct further analysis to determine whether the busbar is in a faulty or abnormal working state, and further evaluate the busbar's performance in this state.

[0064] The purpose of this secondary assessment is to examine the fault point in detail and analyze whether the busbar is in a faulty state or whether there are potential factors that may cause the fault. This ensures that the busbar system can be effectively evaluated under different working conditions, and problems can be discovered in a timely manner and appropriate treatment measures can be taken.

[0065] In summary, the busbar efficiency evaluation method based on magnetothermal stress coupling analysis provided by the embodiments of the present application has the following technical effects:

[0066] By setting a preset aggregation scale, performing a three-dimensional simulation of the target domain bus and reconstructing the cluster network based on the scale, the complex structure of the bus can be simplified without losing details, which is convenient for subsequent physical field analysis and evaluation. At the same time, through the reconstruction of the cluster network, more accurate modeling and analysis can be performed on the key areas of the bus, reducing unnecessary calculations and improving calculation efficiency. By constructing a physical field model of the magnetic field, temperature field and stress field, the various performances of the bus in actual operation can be fully considered. This multi-physical field coupling analysis can accurately evaluate the performance of the bus under different working conditions, ensuring that the working status of the bus can be grasped in real time during power grid operation. The supervised training of the block makes the evaluation system more efficient and accurate, avoids excessive resource consumption, and provides a quick response to real-time status. The lightweight evaluation module can dynamically adapt to different bus states and improve the flexibility of the system; the distributed sensor sampling of the bus enables the system to monitor the status of each key area of the bus in real time and form an accurate description of the bus state. By transmitting the sensor data back to the lightweight evaluation module and performing data aggregation and reconstruction, accurate performance evaluation can be achieved based on the data. Evaluation based on the indicator system of the bus state can ensure that the bus performance of the system in different states is comprehensively evaluated, which helps to improve the operational safety of the power grid and reduce the probability of failures.

[0067] The second embodiment is based on the same inventive concept as the busbar efficiency evaluation method based on magnetothermal stress coupling analysis in the above embodiment. Figure 2 As shown, an embodiment of the present application provides a busbar efficiency evaluation system based on magnetothermal stress coupling analysis, the system comprising:

[0068] The cluster network reconstruction unit 10 is used to set a preset aggregation scale, perform three-dimensional simulation on the target domain bus and reconstruct the cluster network based on the preset aggregation scale, and determine the reconstructed bus topology.

[0069] The physical field construction unit 20 is used to construct the magnetic-thermal-stress trinity physical field for the reconstructed bus topology, and introduce an evaluation system based on the bus state to supervise the training of a lightweight evaluation module, wherein the bus state includes a ground state and an off state, and the evaluation system is an indicator system based on a single field-coupled field.

[0070] The bus efficiency determination unit 30 is used to perform sampling deployment of the target domain bus, trigger the bus distributed sensor sampling, send it back to the lightweight evaluation module, perform sampling data aggregation reconstruction and bus status-based indicator system evaluation, and determine the bus efficiency.

[0071] Furthermore, the cluster network reconstruction unit 10 includes the following steps:

[0072] By setting aggregation features, a preset aggregation scale based on each aggregation feature is set; wherein the aggregation features at least include bus distribution position, load characteristics, and grid structure.

[0073] Furthermore, the cluster network reconstruction unit 10 includes the following steps:

[0074] A three-dimensional simulated bus is determined, and bus domain aggregation is performed on the three-dimensional simulated bus according to the preset aggregation scale to identify an aggregation cluster; the aggregation cluster is identified, and a reconstruction node is introduced to replace each aggregation domain in the cluster with the reconstruction node to reorganize and determine the reconstructed bus topology, wherein the reconstruction node replaced by each aggregation domain identifies the post-domain bus characteristics.

[0075] Furthermore, the cluster network reconstruction unit 10 includes the following steps:

[0076] The preset aggregation scales of the aggregation features are traversed, and bus domain aggregation is performed on the three-dimensional simulated bus in parallel to determine multiple clusters, wherein the multiple clusters correspond one-to-one to the aggregation features; the multiple clusters are traversed, and the intersection between the clusters is taken as the cluster.

[0077] Furthermore, the physical field construction unit 20 includes the following steps:

[0078] The physical field is determined based on the distribution space of the reconstructed busbar topology; the magnetic field, temperature field and stress field are constructed based on the physical field, and the performance evaluation indicators based on magneto-thermal-stress are mined to construct the evaluation system, wherein the performance evaluation indicators include single field indicators and coupled field indicators.

[0079] Furthermore, the physical field construction unit 20 includes the following steps:

[0080] For the magnetic field domain, temperature field and stress field, combined with busbar operation and maintenance data, single field indicators and field mutual coupling indicators are mined; the single field indicators are taken as the first order and the field mutual coupling indicators are taken as the second order, and the performance is associated and weighted to determine the evaluation system.

[0081] Furthermore, the physical field construction unit 20 includes the following steps:

[0082] Integrate the performance evaluation indicators, decouple the indicators based on the base state and the off-state, and determine the base state performance evaluation subsystem and the off-state performance evaluation subsystem; add the base state performance evaluation subsystem and the off-state performance evaluation subsystem into the evaluation system, wherein the subsystem is triggered according to the real-time bus status.

[0083] Furthermore, the bus efficiency determination unit 30 includes the following steps:

[0084] The sensor point cloud data is transmitted back, and the aggregation vector of the sensor point cloud data is determined based on the reconstructed busbar topology, and the reconstructed sensor distribution is determined by conversion; and a magnetic-thermal-stress-based field analysis is performed on the reconstructed sensor distribution to determine the busbar efficiency.

[0085] Furthermore, the bus efficiency determination unit 30 includes the following steps:

[0086] If the bus status is determined, the base state performance evaluation subsystem or the off-state performance evaluation subsystem is triggered; if the bus status is not determined, the base state performance evaluation subsystem is triggered to perform a primary evaluation to determine the first bus performance; if the first bus performance does not meet the standard condition range, the off-state performance evaluation subsystem is triggered to perform a secondary evaluation.

[0087] Through the above detailed description of the busbar efficiency evaluation method based on magnetothermal stress coupling analysis in this specification, those skilled in the art can clearly understand the busbar efficiency evaluation system based on magnetothermal stress coupling analysis in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple. For relevant details, please refer to the method section.

[0088] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A busbar efficiency evaluation method based on magnetothermal stress coupling analysis is characterized by: The method comprises: Setting a preset aggregation scale, performing a three-dimensional simulation on the target domain bus and reconstructing a cluster network based on the preset aggregation scale, and determining a reconstructed bus topology; For the reconstructed busbar topology, a magnetic-thermal-stress trinity physical field is constructed, and an evaluation system based on the busbar state is introduced to supervise the training of a lightweight evaluation module, wherein the busbar state includes a ground state and an off state, and the evaluation system is an indicator system based on a single field-coupled field; Conduct sampling deployment of the target domain bus, trigger distributed sensor sampling of the bus, and transmit the data back to the lightweight evaluation module to perform aggregation and reconstruction of the sampled data and evaluation of the indicator system based on the bus status to determine the bus efficiency.

2. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 1, characterized in that: By setting the aggregation features, a preset aggregation scale based on each aggregation feature is set; The aggregated features include at least bus distribution location, load characteristics, and grid structure.

3. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 2, characterized in that: Performing a three-dimensional simulation of the target domain bus and reconstructing a cluster network based on the preset aggregation scale includes: Determine a three-dimensional simulated bus, perform bus domain aggregation on the three-dimensional simulated bus according to the preset aggregation scale, and identify an aggregation cluster; The aggregation cluster is identified, and the reconstructed bus topology is reorganized and determined by introducing a reconstructed node and replacing each aggregation domain in the cluster with the reconstructed node, wherein the reconstructed node replaced by each aggregation domain identifies the post-domain bus characteristics.

4. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 3 is characterized in that: Performing busbar domain aggregation on the three-dimensional simulated busbar includes: Traversing the preset aggregation scales of each aggregation feature, and performing bus domain aggregation on the three-dimensional simulated bus in parallel to determine multiple types of aggregation clusters, wherein the multiple types of aggregation clusters correspond one-to-one to the aggregation features; The multiple clusters are traversed, and the intersection between the clusters is taken as the cluster.

5. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 1, characterized in that: The magnetic-thermal-stress trinity physical field is constructed, and an evaluation system based on busbar state is introduced, including: Determining a physical field based on the distribution space of the reconstructed busbar topology; The physical field is used to construct the magnetic field domain, temperature field and stress field, and the performance evaluation index based on magnetism, heat and stress is explored to construct the evaluation system, wherein the performance evaluation index includes single field index and coupled field index.

6. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 5, characterized in that: Exploring performance evaluation indicators based on magnetism, heat and stress, including: For the magnetic field, temperature and stress fields, combined with busbar operation and maintenance data, single field indicators and field coupling indicators are mined; The single field index is taken as the first order, and the field mutual coupling index is taken as the second order, and the performance is weighted by association to determine the evaluation system.

7. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 6, characterized in that: Constructing the evaluation system includes: Integrate the performance evaluation indicators, decouple the indicators based on the base state and the off-state, and determine the base state performance evaluation subsystem and the off-state performance evaluation subsystem; The base state performance evaluation subsystem and the off state performance evaluation subsystem are added to the evaluation system, wherein the subsystems are triggered according to the real-time bus status.

8. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 7 is characterized in that: Perform sampling data aggregation and reconstruction and busbar status-based indicator system evaluation, including: Returning the sensing point cloud data, determining the aggregation vector of the sensing point cloud data using the reconstructed busbar topology, and converting and determining the reconstructed sensing distribution; A magnetic-thermal-stress field analysis is performed on the reconstructed sensor distribution to determine the busbar efficiency.

9. The busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to claim 8, characterized in that: If the bus state is confirmed, triggering the base state performance evaluation subsystem or the off state performance evaluation subsystem; If the bus state is not determined, the base state performance evaluation subsystem is triggered to perform a primary evaluation to determine the first bus performance; if the first bus performance does not meet the standard condition range, the off-state performance evaluation subsystem is triggered to perform a secondary evaluation.

10. The busbar efficiency evaluation system based on magnetic thermal stress coupling analysis is characterized by: A system for implementing the busbar efficiency evaluation method based on magnetothermal stress coupling analysis according to any one of claims 1 to 9, comprising: A cluster network reconstruction unit is used to set a preset aggregation scale, perform three-dimensional simulation on the target domain bus and reconstruct the cluster network based on the preset aggregation scale to determine the reconstructed bus topology; A physical field construction unit is used to construct a magnetic-thermal-stress trinity physical field for the reconstructed busbar topology, introduce an evaluation system based on the busbar state, and supervise the training of a lightweight evaluation module, wherein the busbar state includes a ground state and an off state, and the evaluation system is an indicator system based on a single field and a coupled field; The bus efficiency determination unit is used to perform sampling deployment of the target domain bus, trigger the bus distributed sensor sampling, and transmit it back to the lightweight evaluation module to perform sampling data aggregation and reconstruction and bus status-based indicator system evaluation to determine the bus efficiency.

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