Transformer excitation inrush current suppression system
By designing the transformer excitation surge current suppression system, using real-time data acquisition, prediction model construction, simulation and optimization strategies, the problem of predictive control technology being incompatible in the power system is solved, and efficient excitation surge current suppression and grid stability are achieved.
Patent Information
- Application Number
- CN202411308452.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-19
- Publication Date
- 2025-02-07
AI Technical Summary
In the prior art, predictive control technology relies on accurate prediction of grid load changes. However, due to the influence of various factors, accurate prediction becomes difficult, resulting in the inability to use intelligent control and predictive control technology in compatible with power systems.
A transformer excitation surge current suppression system is designed, including a data acquisition unit, excitation surge current prediction unit, simulation model construction unit, simulation result analysis unit and suppression optimization unit. By monitoring the operating status of the transformer in real time, building excitation surge current prediction model, and simulating different suppression Strategy, optimize suppression strategies and implement suppression measures to ensure system compatibility and stability.
It improves prediction accuracy, optimizes suppression strategies, enhances system compatibility and stability, realizes automated and intelligent operation and maintenance management, protects power equipment, and improves the stability and reliability of the power grid.
Smart Images
Figure CN119401360A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of power equipment operation and maintenance technology, and in particular to a transformer inrush current suppression system. Background Technology
[0002] Transformer inrush current refers to the transient current generated in the windings of a transformer when it is fully charged. The main reason for this is that when the residual magnetic flux in the transformer core before energization is in the same direction as the magnetic flux generated by the operating voltage at energization, the total magnetic flux far exceeds the saturation magnetic flux of the core, resulting in a large inrush current. Inrush current can have several impacts on the power system, such as causing malfunctions in transformer relay protection devices, leading to transformer commissioning failure, or inducing operational overvoltages and damaging electrical equipment. Therefore, measures need to be taken in the power system to suppress or reduce the impact of inrush current.
[0003] Intelligent control technology can monitor the operating status of transformers in real time and adjust the switching mode of transformers in a timely manner to reduce inrush current. Predictive control technology predicts the timing of transformer switching based on changes in grid load to avoid switching transformers on or off during peak grid load periods, thereby reducing inrush current.
[0004] Predictive control technology relies on accurate prediction of grid load changes. However, grid load is affected by various factors, such as weather, user behavior, and equipment failure, making accurate prediction difficult. Prediction results need to be obtained before transformer switching operations, and there are strict requirements for timeliness. If the timeliness of the prediction results is incorrect, it will lead to the problem of incompatibility between intelligent control and predictive control technologies in the power system. Summary of the Invention
[0005] To address the shortcomings of existing technologies, this invention provides a transformer inrush current suppression system, which solves the problem that the prediction results need to be obtained before the transformer switching operation, which has strict requirements on timeliness. If the timeliness of the prediction results is incorrect, it will lead to the incompatibility of intelligent control and predictive control technologies in the power system.
[0006] To solve the above-mentioned technical problems, the specific technical solution of the present invention is as follows:
[0007] This invention provides a transformer inrush current suppression system, comprising: a control device end, a background control end, and an equipment end. The control device end is connected and communicates with the background control end and the equipment end. The control device end includes:
[0008] The data acquisition unit collects the transformer's operating status data, including the transformer's operating voltage, operating current, and operating temperature.
[0009] The transformer inrush current prediction unit substitutes the transformer's operating status data into a preset transformer inrush current prediction model to obtain the transformer inrush current prediction result.
[0010] The simulation model building unit determines the expected time of transformer inrush current based on the transformer inrush current prediction results, retrieves historical transformer operating data and historical transformer inrush current prediction results from the database, and constructs a transformer inrush current suppression simulation model based on the historical transformer operating data and historical transformer inrush current prediction results from the database.
[0011] The simulation results analysis unit substitutes the transformer inrush current prediction results into the transformer inrush current suppression simulation model to obtain the transformer inrush current suppression simulation results. The simulation results of transformer inrush current suppression are then analyzed to obtain the transformer inrush current suppression simulation analysis results.
[0012] The transformer inrush current suppression optimization unit compares the simulation analysis results of transformer inrush current suppression with the preset transformer inrush current suppression values. If the simulation analysis results are not within the preset range, the simulation analysis results are optimized. The optimized simulation analysis results are then substituted into the transformer inrush current suppression simulation model. If the simulation results meet the preset range, the operating parameters in the optimized simulation analysis results are retrieved as the transformer inrush current suppression execution parameters. These execution parameters are sent to the device for execution. The data returned after the device executes the execution parameters undergoes a compatibility test. If the compatibility test fails, the data corresponding to the execution parameters is time-consolidated to obtain time-consolidated execution parameters. These time-consolidated execution parameters are then used as the updated execution parameters.
[0013] Furthermore, the present invention provides the aforementioned transformer inrush current suppression system, wherein the transformer inrush current prediction unit is further configured to:
[0014] A transformer inrush current prediction model is constructed using machine learning algorithms based on transformer operating status data. The transformer inrush current prediction model is used to predict the inrush current generated by the transformer under specific operating conditions.
[0015] The transformer inrush current prediction unit generates transformer inrush current prediction results through calculations based on the preset transformer inrush current prediction model. The transformer inrush current prediction results include transformer inrush current prediction values, transformer inrush current prediction waveforms, and transformer inrush current prediction data.
[0016] Furthermore, the present invention provides a transformer inrush current suppression system, wherein the simulation model construction unit is further used for:
[0017] Based on the prediction results output by the transformer excitation inrush current prediction unit, the estimated time of inrush current occurrence is determined, and the historical transformer operation data stored in the database is queried. The historical transformer operation data includes the transformer's state parameters under different operating conditions, including voltage, current, and temperature.
[0018] Historical transformer inrush current prediction results are retrieved. These results reflect the accuracy of past inrush current predictions and their correspondence with actual inrush current conditions.
[0019] The retrieved historical transformer operating data is integrated with the inrush current prediction results to obtain integrated historical data with consistent data format and timing.
[0020] By utilizing integrated historical data and combining it with machine learning algorithms, a simulation model for suppressing transformer inrush current is constructed.
[0021] Furthermore, the present invention provides a transformer inrush current suppression system, wherein the simulation result analysis unit is further used for:
[0022] The simulation result analysis unit receives the prediction results from the transformer inrush current prediction unit and substitutes the transformer inrush current prediction results into the constructed transformer inrush current suppression simulation model. The transformer inrush current suppression simulation model is constructed based on physical principles, historical data and simulation technology. The transformer inrush current suppression simulation model is used to simulate the changes in inrush current under different suppression strategies.
[0023] The simulation results of transformer inrush current suppression are generated by calculating the transformer inrush current suppression simulation model. The simulation results of transformer inrush current suppression include inrush current waveform, numerical changes and changing parameters.
[0024] The simulation results analysis unit analyzes the generated simulation results to obtain information including the peak value, duration, and trend characteristics of the inrush flow.
[0025] Furthermore, the present invention provides a transformer inrush current suppression system, wherein the simulation result analysis unit is further used for:
[0026] Obtain the raw data for transformer inrush current suppression simulation, which includes current waveform, voltage waveform, and magnetic flux change;
[0027] The simulation results of transformer inrush current suppression are compared with the actual transformer inrush current data to analyze the differences and similarities between the simulation results and the actual transformer inrush current data.
[0028] The analysis examines the degree to which the inrush current is suppressed in the simulation results of transformer inrush current suppression, including the degree of suppression, the reduction in inrush current peak value, and the shortening of inrush current duration.
[0029] Furthermore, the present invention provides the aforementioned transformer inrush current suppression system, wherein the transformer inrush current suppression optimization unit is further used for:
[0030] The transformer inrush current suppression optimization unit receives the simulation analysis results of transformer inrush current suppression output by the simulation result analysis unit;
[0031] The simulation results of transformer inrush current suppression are compared with the preset transformer inrush current suppression value to evaluate whether the current simulation suppression effect meets expectations.
[0032] If the simulation results of transformer inrush current suppression are not within the preset suppression value range, the current suppression strategy needs to be optimized.
[0033] Adjusting the simulation analysis results includes modifying the parameters of the suppression strategy and adjusting the closing angle. The optimized transformer inrush current suppression simulation analysis results are then substituted back into the transformer inrush current suppression simulation model. If the simulation results show that the optimized suppression strategy meets the preset suppression value range, the optimization is successful.
[0034] Furthermore, the present invention provides the aforementioned transformer inrush current suppression system, wherein the transformer inrush current suppression optimization unit is further used for:
[0035] The running parameters are extracted from the successful optimization simulation analysis results and sent to the device for execution. After the device executes the suppression parameters, it feeds back the execution data to the optimization unit.
[0036] The optimization unit performs compatibility testing on these feedback data. If a compatibility issue is detected, the optimization unit will perform time-sensitive processing on the data involved. The parameters after time-sensitive processing will be used as the updated transformer inrush current suppression execution parameters.
[0037] The beneficial effects of this invention are mainly reflected in the following aspects:
[0038] Improved prediction accuracy: By using machine learning algorithms to build a transformer inrush current prediction model and making predictions based on the real-time operating status data of the transformer, the accuracy of predictions has been improved.
[0039] Suppression strategy optimization: Based on the prediction results, the system can automatically optimize the suppression strategy by simulating the inrush changes under different suppression strategies, thereby improving the suppression effect to meet expectations.
[0040] Enhanced compatibility: After implementing the suppression strategy, the system will perform compatibility checks on the data returned by the device and perform timely and unified processing on incompatible data, thereby improving the system's compatibility and stability.
[0041] Intelligentization and automation: The entire system realizes the automated process of data collection, prediction, simulation, optimization and execution, reducing the need for manual intervention and improving work efficiency.
[0042] Protecting electrical equipment: By effectively suppressing transformer inrush current, the impact of inrush current on the power system is reduced, such as avoiding malfunctions of relay protection devices and the generation of operational overvoltages, thereby protecting the safe operation of electrical equipment.
[0043] Improving grid stability: Reducing the impact of inrush current helps improve the stability and reliability of the power grid, and reduces the risk of grid fluctuations and power outages caused by inrush current.
[0044] In summary, this invention effectively solves the impact of transformer inrush current on the power system through intelligent prediction, simulation and optimization methods, improves the stability and safety of the power system, and realizes automated and intelligent operation and maintenance management. Attached Figure Description
[0045] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.
[0046] Figure 1 A schematic diagram of the transformer inrush current suppression system provided in an embodiment of the present invention. Detailed Implementation
[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention. The technical solutions provided by various embodiments of this invention will be described in detail below with reference to the accompanying drawings.
[0048] To better understand the purpose of this invention, the invention will now be described in further detail.
[0049] Please see Figure 1 This invention provides a transformer inrush current suppression system, comprising: a control device end, a background control end, and an equipment end. The control device end is connected and communicates with the background control end and the equipment end. The control device end includes:
[0050] The data acquisition unit collects the transformer's operating status data, including the transformer's operating voltage, operating current, and operating temperature.
[0051] The data acquisition unit is responsible for collecting the transformer's operating status data, which specifically includes the transformer's operating voltage, operating current, and operating temperature.
[0052] The transformer inrush current prediction unit substitutes the transformer's operating status data into a preset transformer inrush current prediction model to obtain the transformer inrush current prediction result.
[0053] The transformer inrush current prediction unit is an important component of the system of this invention. This prediction unit receives transformer operating status data collected by the data acquisition unit, including key information such as the transformer's operating voltage, operating current, and operating temperature. This real-time data is then fed into a preset transformer inrush current prediction model.
[0054] This predictive model is built on machine learning algorithms. By analyzing the complex relationships between historical and real-time data, it learns and predicts the inrush current that a transformer may generate under specific operating conditions. The model contains a series of mathematical formulas and computational logic to simulate the electromagnetic characteristics of the transformer and the inrush current generation mechanism.
[0055] When the transformer's operating status data is input into the prediction model, the model performs rapid calculations and analysis to generate corresponding transformer inrush current prediction results. The prediction results are usually presented in numerical, waveform, or other data formats, which can intuitively reflect the possible inrush current status of the transformer in the future.
[0056] The simulation model building unit determines the expected time of transformer inrush current based on the transformer inrush current prediction results, retrieves historical transformer operating data and historical transformer inrush current prediction results from the database, and constructs a transformer inrush current suppression simulation model based on the historical transformer operating data and historical transformer inrush current prediction results from the database.
[0057] The workflow of the simulation model building unit;
[0058] Receiving prediction results: The simulation model building unit first receives the prediction results from the transformer inrush current prediction unit.
[0059] Determine the expected time: Based on the prediction results, the simulation model building unit can determine the expected time of the transformer inrush current.
[0060] Retrieving Historical Data: The building unit then retrieves relevant historical transformer operating data from the database. This data includes transformer status parameters under different operating conditions, such as voltage, current, and temperature.
[0061] Meanwhile, the construction unit also retrieves historical transformer inrush current prediction results, which reflect the accuracy of past inrush current predictions and their correspondence with actual inrush current conditions.
[0062] Data integration: The retrieved historical transformer operating data is integrated with the inrush current prediction results to ensure consistency in data format and timing.
[0063] Simulation Model Construction: Using integrated historical data and machine learning algorithms, a simulation model building unit constructs a simulation model for transformer inrush current suppression. This model will be used to subsequently simulate the changes in inrush current under different suppression strategies.
[0064] Data source: Historical transformer operating data and historical transformer inrush current prediction results.
[0065] Data processing: Integrate historical data to ensure consistency in format and time sequence.
[0066] Model building: A simulation model for suppressing transformer inrush current is built by combining machine learning algorithms.
[0067] Objective: To provide a basis for simulating subsequent suppression strategies.
[0068] Through this process, the simulation model building unit can construct a simulation model that reflects the effect of transformer inrush current suppression based on historical data and real-time prediction results, providing a scientific basis for optimizing suppression strategies.
[0069] The simulation results analysis unit substitutes the transformer inrush current prediction results into the transformer inrush current suppression simulation model to obtain the transformer inrush current suppression simulation results. The simulation results of transformer inrush current suppression are then analyzed to obtain the transformer inrush current suppression simulation analysis results.
[0070] The simulation result analysis unit is a crucial component of the system of this invention. It is responsible for substituting the predicted transformer inrush current into the transformer inrush current suppression simulation model, and generating and analyzing the simulation results. The specific workflow is as follows:
[0071] Input prediction results: First, the simulation result analysis unit will receive the prediction results from the transformer inrush current prediction unit. These results include key data such as the value and waveform of the transformer inrush current.
[0072] Substituting into the simulation model: Subsequently, these predictions were substituted into the constructed transformer inrush current suppression simulation model, which combines physical principles, historical data and simulation technology to simulate the changes in inrush current under different suppression strategies.
[0073] Generating and analyzing simulation results: Through the calculation of the simulation model, simulation results of transformer inrush current suppression are generated, such as the waveform and numerical changes of the inrush current.
[0074] Next, the simulation results analysis unit will conduct an in-depth analysis of these simulation results, focusing on characteristics such as the peak value, duration, and trend of the inrush flow, in order to evaluate the effectiveness of different suppression strategies.
[0075] Comparative analysis: In order to verify the accuracy of the simulation results, the analysis unit will also acquire the raw data of transformer inrush current and compare the simulation results with these actual data to ensure the reliability and effectiveness of the simulation.
[0076] Suppression Degree Analysis: Finally, the analysis unit will focus on analyzing the degree to which the inrush current is suppressed in the simulation, such as the reduction of the inrush current peak value and the shortening of the duration. These data provide valuable references for subsequent suppression strategy optimization.
[0077] Through the above process, the simulation results analysis unit not only provides a scientific basis for optimizing suppression strategies, but also makes an important contribution to ensuring the stable operation of the power system.
[0078] The transformer inrush current suppression optimization unit compares the simulation analysis results of transformer inrush current suppression with the preset transformer inrush current suppression values. If the simulation analysis results are not within the preset range, the simulation analysis results are optimized. The optimized simulation analysis results are then substituted into the transformer inrush current suppression simulation model. If the simulation results meet the preset range, the operating parameters in the optimized simulation analysis results are retrieved as the transformer inrush current suppression execution parameters. These execution parameters are sent to the device for execution. The data returned after the device executes the execution parameters undergoes a compatibility test. If the compatibility test fails, the data corresponding to the execution parameters is time-consolidated to obtain time-consolidated execution parameters. These time-consolidated execution parameters are then used as the updated execution parameters.
[0079] The transformer inrush current suppression optimization unit first compares the simulation results with the preset values. The preset values represent the desired level of inrush current suppression.
[0080] Optimization: If the simulation results are not within the preset suppression range, it indicates that the current suppression strategy has not achieved the expected effect and needs to be optimized. The optimization process includes adjusting the parameters of the suppression strategy, such as changing certain coefficients in the control algorithm, or adjusting the closing angle of the transformer.
[0081] Substituting the optimized results: The optimized simulation results of transformer inrush current suppression are then substituted back into the transformer inrush current suppression simulation model. The simulation model is then used to verify whether the optimized suppression strategy can achieve the expected suppression effect.
[0082] Extracting operational parameters: If the simulation results show that the optimized suppression strategy meets the preset suppression value range, the optimization is successful. Specific operational parameters are extracted from the successfully optimized simulation analysis results; these parameters will be used to guide actual equipment operation.
[0083] Send execution parameters: The extracted transformer inrush current suppression execution parameters are sent to the equipment for execution. The equipment adjusts the transformer's operating status based on these parameters to suppress the inrush current.
[0084] Compatibility testing and parameter adjustment: A compatibility test is performed on the data returned after the transformer inrush current suppression parameters are executed at the equipment end. If the compatibility test fails, it indicates that the returned data does not match the expected format or requirements and needs adjustment. Incompatible data is then processed to achieve timeliness standardization, resulting in time-standardized transformer inrush current suppression parameters.
[0085] Update execution parameters: The transformer inrush current suppression execution parameters, after being standardized in terms of timeliness, are used as the final execution parameters and sent back to the equipment for execution. This ensures that the equipment operates accurately and stably according to the new execution parameters, thereby achieving effective suppression of inrush current.
[0086] Through the above steps, the transformer inrush current suppression optimization unit can continuously adjust and optimize the suppression strategy, thereby improving the stable operation of the transformer and the safety of the power system.
[0087] Specifically, the present invention provides a transformer inrush current suppression system, wherein the transformer inrush current prediction unit is further configured to:
[0088] A transformer inrush current prediction model is constructed using machine learning algorithms based on transformer operating status data. The transformer inrush current prediction model is used to predict the inrush current generated by the transformer under specific operating conditions.
[0089] The transformer inrush current prediction unit generates transformer inrush current prediction results through calculations based on the preset transformer inrush current prediction model. The transformer inrush current prediction results include transformer inrush current prediction values, transformer inrush current prediction waveforms, and transformer inrush current prediction data.
[0090] Specifically, the present invention provides a transformer inrush current suppression system, wherein the simulation model construction unit is further used for:
[0091] Based on the prediction results output by the transformer excitation inrush current prediction unit, the estimated time of inrush current occurrence is determined, and the historical transformer operation data stored in the database is queried. The historical transformer operation data includes the transformer's state parameters under different operating conditions, including voltage, current, and temperature.
[0092] Historical transformer inrush current prediction results are retrieved. These results reflect the accuracy of past inrush current predictions and their correspondence with actual inrush current conditions.
[0093] The retrieved historical transformer operating data is integrated with the inrush current prediction results to obtain integrated historical data with consistent data format and timing.
[0094] By utilizing integrated historical data and combining it with machine learning algorithms, a simulation model for suppressing transformer inrush current is constructed.
[0095] Specifically, the present invention provides a transformer inrush current suppression system, wherein the simulation result analysis unit is further used for:
[0096] The simulation result analysis unit receives the prediction results from the transformer inrush current prediction unit and substitutes the transformer inrush current prediction results into the constructed transformer inrush current suppression simulation model. The transformer inrush current suppression simulation model is constructed based on physical principles, historical data and simulation technology. The transformer inrush current suppression simulation model is used to simulate the changes in inrush current under different suppression strategies.
[0097] The simulation results of transformer inrush current suppression are generated by calculating the transformer inrush current suppression simulation model. The simulation results of transformer inrush current suppression include inrush current waveform, numerical changes and changing parameters.
[0098] The simulation results analysis unit analyzes the generated simulation results to obtain information including the peak value, duration, and trend characteristics of the inrush flow.
[0099] Specifically, the present invention provides a transformer inrush current suppression system, wherein the simulation result analysis unit is further used for:
[0100] Obtain the raw data for transformer inrush current suppression simulation, which includes current waveform, voltage waveform, and magnetic flux change;
[0101] The simulation results of transformer inrush current suppression are compared with the actual transformer inrush current data to analyze the differences and similarities between the simulation results and the actual transformer inrush current data.
[0102] The analysis examines the degree to which the inrush current is suppressed in the simulation results of transformer inrush current suppression, including the degree of suppression, the reduction in inrush current peak value, and the shortening of inrush current duration.
[0103] Specifically, the present invention provides a transformer inrush current suppression system, wherein the transformer inrush current suppression optimization unit is further used for:
[0104] The transformer inrush current suppression optimization unit receives the simulation analysis results of transformer inrush current suppression output by the simulation result analysis unit;
[0105] The simulation results of transformer inrush current suppression are compared with the preset transformer inrush current suppression value to evaluate whether the current simulation suppression effect meets expectations.
[0106] If the simulation results of transformer inrush current suppression are not within the preset suppression value range, the current suppression strategy needs to be optimized.
[0107] Adjusting the simulation analysis results includes modifying the parameters of the suppression strategy and adjusting the closing angle. The optimized transformer inrush current suppression simulation analysis results are then substituted back into the transformer inrush current suppression simulation model. If the simulation results show that the optimized suppression strategy meets the preset suppression value range, the optimization is successful.
[0108] Specifically, the present invention provides a transformer inrush current suppression system, wherein the transformer inrush current suppression optimization unit is further used for:
[0109] The running parameters are extracted from the successful optimization simulation analysis results and sent to the device for execution. After the device executes the suppression parameters, it feeds back the execution data to the optimization unit.
[0110] The optimization unit performs compatibility testing on these feedback data. If a compatibility issue is detected, the optimization unit will perform time-sensitive processing on the data involved. The parameters after time-sensitive processing will be used as the updated transformer inrush current suppression execution parameters.
[0111] The transformer inrush current suppression system provided by this invention solves the problems of strict timeliness requirements for prediction results and the incompatibility of intelligent control and predictive control technologies in power systems due to timeliness errors in prediction results through a series of technical means. The specific technical solution is as follows:
[0112] Data Acquisition and Real-time Monitoring: The system acquires real-time operating status data of the transformer through a data acquisition unit, including operating voltage, operating current, and operating temperature. This real-time data ensures the system can obtain the latest transformer status at any time, providing an accurate basis for subsequent predictions.
[0113] Inrush Current Prediction Model: Utilizing machine learning algorithms, a transformer inrush current prediction model is constructed based on real-time collected operating status data. This model can predict the inrush current generated by the transformer under specific operating conditions, generating prediction results including predicted values, waveforms, and data.
[0114] Simulation Model and Optimization Strategy: Based on the prediction results, the system constructs a simulation model for transformer inrush current suppression. Using physical principles, historical data, and simulation technology, it simulates the changes in inrush current under different suppression strategies. The simulation results analysis unit analyzes the simulation results, evaluates the suppression effect, and optimizes the suppression strategy according to the preset suppression value range.
[0115] Real-time feedback and adjustment: The optimized suppression strategy is executed on the device side, and the feedback data after execution undergoes compatibility testing. If a compatibility issue is detected, the system will perform timely processing on the relevant data to ensure the timeliness and compatibility of the execution parameters.
[0116] Dynamic adjustment and iteration: The system continuously adjusts the suppression strategy through continuous monitoring, prediction, simulation and optimization cycles to adapt to changes in transformer state caused by changes in grid load and other external factors, thereby ensuring the effectiveness of inrush current suppression.
[0117] Integrated control: The communication connection between the control device, the back-end control terminal, and the equipment terminal ensures real-time data transmission and rapid command execution, improving the response speed and accuracy of the entire system.
[0118] Through the above technical solution, the present invention effectively solves the problems of high timeliness requirements for prediction results and compatibility issues caused by prediction errors, improves the efficiency and reliability of transformer inrush current suppression, and enhances the stable operation of the power system.
[0119] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations. The above-described embodiments of this invention do not constitute a limitation on the scope of protection of this invention.
Claims
1. A transformer excitation inrush current suppression system, characterized in that: include: The control device end, the background control end and the equipment end are connected to the background control end and the equipment end for communication. The control device end includes: A data acquisition unit collects operating status data of the transformer, the operating status data of the transformer including the operating voltage of the transformer, the operating current of the transformer and the operating temperature of the transformer; The transformer excitation inrush current prediction unit substitutes the transformer operation status data into a preset transformer excitation inrush current prediction model to obtain the transformer excitation inrush current prediction result; The simulation model building unit determines the estimated time of the transformer excitation inrush current according to the transformer excitation inrush current prediction result, retrieves the historical transformer operation data and the historical transformer excitation inrush current prediction result in the database, and builds the transformer excitation inrush current suppression simulation model based on the historical transformer operation data and the historical transformer excitation inrush current prediction result in the database; The simulation result analysis unit substitutes the transformer excitation inrush current prediction result into the transformer excitation inrush current suppression simulation model to obtain the transformer excitation inrush current suppression simulation result, analyzes the transformer excitation inrush current suppression simulation result, and obtains the transformer excitation inrush current suppression simulation analysis result; The transformer excitation inrush current suppression optimization unit compares the transformer excitation inrush current suppression simulation analysis result with the preset transformer excitation inrush current suppression value. If the transformer excitation inrush current suppression simulation analysis result is not within the preset transformer excitation inrush current suppression value range, the transformer excitation inrush current suppression simulation analysis result is optimized, and the optimized transformer excitation inrush current suppression simulation analysis result is substituted into the transformer excitation inrush current suppression simulation model. If the simulation result meets the preset transformer excitation inrush current suppression value range, the operating parameters in the optimized transformer excitation inrush current suppression simulation analysis result are retrieved as the transformer excitation inrush current suppression execution parameters, and the transformer excitation inrush current suppression execution parameters are sent to the device end for execution. The compatibility test is performed on the data fed back after the device end executes the transformer excitation inrush current suppression execution parameters. If the compatibility test fails, the data corresponding to the transformer excitation inrush current suppression execution parameters are unified in terms of timeliness to obtain the transformer excitation inrush current suppression execution parameters after timeliness is unified, and the transformer excitation inrush current suppression execution parameters after timeliness is unified are used as the updated transformer excitation inrush current suppression execution parameters.
2. The transformer excitation inrush current suppression system according to claim 1, characterized in that: The transformer excitation inrush current prediction unit is further used for: A transformer excitation inrush current prediction model is constructed based on the transformer operating status data using a machine learning algorithm. The transformer excitation inrush current prediction model is used to predict the excitation inrush current generated by the transformer under a specific operating state. The transformer excitation inrush current prediction unit generates a transformer excitation inrush current prediction result by operating a preset transformer excitation inrush current prediction model. The transformer excitation inrush current prediction result includes a transformer excitation inrush current prediction value, a transformer excitation inrush current prediction waveform, and a transformer excitation inrush current prediction data.
3. The transformer excitation inrush current suppression system according to claim 1, characterized in that: The simulation model building unit is further used for: Based on the prediction result output by the transformer excitation inrush current prediction unit, the estimated time of the inrush current is determined, and the historical transformer operation data stored in the database is queried. The historical transformer operation data includes the state parameters of the transformer under different operating conditions, including voltage, current and temperature; Retrieve and obtain historical transformer excitation inrush current prediction results, which are used to reflect the accuracy of past inrush current predictions and their corresponding relationship with actual inrush current conditions; Integrate the retrieved historical transformer operation data with the excitation inrush current prediction results to obtain integrated historical data with consistent data format and time sequence; The integrated historical data is used in combination with machine learning algorithms to build a simulation model for transformer excitation inrush current suppression.
4. The transformer excitation inrush current suppression system according to claim 1, characterized in that: The simulation result analysis unit is further used for: The simulation result analysis unit receives the prediction result of the transformer excitation inrush current prediction unit, and substitutes the transformer excitation inrush current prediction result into the constructed transformer excitation inrush current suppression simulation model. The transformer excitation inrush current suppression simulation model is constructed based on physical principles, historical data and simulation technology. The transformer excitation inrush current suppression simulation model is used to simulate the change of inrush current under different suppression strategies. By calculating the transformer excitation inrush current suppression simulation model, the simulation results of the transformer excitation inrush current suppression are generated. The simulation results of the transformer excitation inrush current suppression include inrush current waveform, value change and change parameters. The simulation result analysis unit analyzes the generated simulation results to obtain the peak value, duration, and change trend characteristics of the analyzed surge flow.
5. The transformer excitation inrush current suppression system according to claim 4, characterized in that: The simulation result analysis unit is further used for: Obtaining the original data of transformer excitation inrush current suppression simulation, the original data of transformer excitation inrush current suppression simulation includes current waveform, voltage waveform, and magnetic flux change; Compare the transformer excitation inrush current suppression simulation results with the actual transformer excitation inrush current data, and analyze the differences and similarities between the simulation results and the actual transformer excitation inrush current data; The degree of excitation inrush current suppression in the transformer excitation inrush current suppression simulation results is analyzed, including the degree of excitation inrush current suppression, the degree of reduction in inrush current peak value, and the shortening of inrush current duration.
6. The transformer excitation inrush current suppression system according to claim 1, characterized in that: The transformer excitation inrush current suppression optimization unit is also used for: The transformer excitation inrush current suppression optimization unit receives the transformer excitation inrush current suppression simulation analysis result output by the simulation result analysis unit; The transformer excitation inrush current suppression simulation analysis results are compared with the preset transformer excitation inrush current suppression value to evaluate whether the current simulated suppression effect meets expectations; If the transformer excitation inrush current suppression simulation analysis result is not within the preset suppression value range, the current suppression strategy needs to be optimized; Adjustments to the simulation analysis results include modifying the parameters of the suppression strategy and adjusting the closing angle. The optimized transformer excitation inrush current suppression simulation analysis results are substituted into the transformer excitation inrush current suppression simulation model again. If the simulation results show that the optimized suppression strategy meets the preset suppression value range, the optimization is successful.
7. The transformer excitation inrush current suppression system according to claim 6, characterized in that: The transformer excitation inrush current suppression optimization unit is also used for: Extract the operation parameters from the optimization simulation analysis results of successful optimization, send them to the device for execution, and after the device executes the suppression execution parameters, feed back the execution data to the optimization unit; The optimization unit performs compatibility detection on these feedback data. If a compatibility problem is detected, the optimization unit will perform timeliness processing on the data involved. The parameters after timeliness processing will be used as updated transformer excitation inrush current suppression execution parameters.