Feedback type programmable alternating current source load integrated test system

Abstract

The invention discloses a feedback type programmable alternating current source load integrated test system, and belongs to the technical field of power electronics. A feedback type programmable alternating current source load integrated test system comprises an alternating current power supply module, an alternating current load module, an energy feedback module, a control module and a test module. The system solves the problems that an existing test system can only provide a single power supply or load function, and excess energy cannot be effectively recycled in the test process, and through cooperative work of the alternating current power supply module, the load module and the energy feedback module, the test efficiency is improved, and the test cost is reduced. Programmable output of an alternating-current power supply, flexible simulation of load characteristics and efficient feedback of redundant electric energy are achieved, the flexibility and the resource utilization rate of the test are improved, the optimal design of the control module comprises the functions of data acquisition, control optimization, fault diagnosis and the like, the real-time performance, stability and reliability of the system are ensured, and the test efficiency is improved. And the load change and the fault condition can be quickly responded.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power electronics, in particular to a feedback programmable AC source and load integrated test system. BACKGROUND

[0002] With the rapid development of power electronics technology, the performance and reliability requirements of power equipment are becoming higher and higher. In the research and development and testing process of power equipment, a test system that can simulate various AC power sources and load characteristics and efficiently recycle excess energy is needed. Traditional test systems usually only provide single power or load functions, cannot meet the simulation needs of multiple complex working conditions at the same time, and often cannot effectively recycle excess energy during testing, resulting in energy waste and increased testing costs; therefore, it does not meet the existing needs, and for this we propose a feedback programmable AC source and load integrated test system. SUMMARY

[0003] The purpose of the present application is to provide a feedback programmable AC source and load integrated test system, which can simulate various complex working conditions through programmable AC power supply modules and load modules, and is suitable for the research and development and testing needs of various power equipment. Through the energy feedback module, excess electrical energy is fed back to the power grid or energy storage equipment, realizing the recycling of energy and reducing testing costs. Through the control module, the AC power supply module, the AC load module and the energy feedback module are controlled and optimized, which can quickly respond to load changes and power grid fluctuations, ensure the stability and precision of the power output, and optimize the energy feedback efficiency. In addition, through the distributed diagnostic architecture and machine learning algorithm, the state of each module is monitored in real time, improving the safety and reliability of the system, and solving the problems raised in the above background technology.

[0004] To achieve the above purpose, the present application provides the following technical scheme: a feedback programmable AC source and load integrated test system, the system comprising:

[0005] An AC power supply module configured to provide programmable AC power output;

[0006] An AC load module configured to absorb AC electrical energy and programmably simulate different load characteristics;

[0007] An energy feedback module configured to feed back excess electrical energy absorbed by the AC load module to the power grid or energy storage equipment;

[0008] A control module configured to be connected with the AC power supply module, the AC load module and the energy feedback module, for controlling the running state of each module, and programming and setting the parameters of the AC power supply of the AC power supply module according to the preset test program, adjusting the load characteristics of the AC load module, and optimizing the feedback efficiency of the energy feedback module.

[0009] The test module is configured to monitor output parameters of the AC power supply, input parameters of the AC load module, and working states of the energy feedback module in real time, and feed back monitoring data to the control module.

[0010] Further, the control module comprises:

[0011] The data acquisition module is configured to be connected with the test module, receive real-time monitoring data of the test module in real time, including output parameters of the AC power supply, input parameters of the AC load module, and working state data of the energy feedback module, process and analyze the collected data, extract key information, and feed back to the control optimization module for real-time control and optimization.

[0012] The control optimization module is configured to control and optimize the AC power supply module, the AC load module, and the energy feedback module according to real-time monitoring data.

[0013] The fault diagnosis module is configured to monitor the working states of each module in real time, and once a fault or abnormal condition is detected, immediately start the fault diagnosis and protection strategy, cut off the power supply of the related module and issue a fault alarm information.

[0014] Further, the data acquisition module specifically comprises:

[0015] Equipped with multiple data acquisition channels, simultaneously receiving output parameters of the AC power supply, input parameters of the AC load module, and working state data of the energy feedback module.

[0016] And using intelligent sensing technology, real-time sensing the running state of each module and external environmental changes, and dynamically adjusting the acquisition and processing strategy according to real-time sensing information.

[0017] After data acquisition, the data is preprocessed, including data calibration and filtering operation, using an adaptive filtering algorithm to automatically adjust the filtering parameters according to the dynamic characteristics of the data, effectively removing high-frequency noise and low-frequency interference, at the same time, through the data calibration algorithm, the collected data is calibrated in real time, compensating for the error and drift of the hardware device.

[0018] From the processed data, key information is extracted, for the output parameters of the AC power supply, the harmonic content of the voltage waveform, the frequency stability and the phase deviation are extracted, for the input parameters of the AC load module, the dynamic change of the load power and the impedance characteristic feature are extracted, for the working state data of the energy feedback module, the feedback efficiency and the fluctuation characteristics of the feedback power are extracted.

[0019] After feature extraction, the collected data is compressed and transmitted redundantly. The compressed data is transmitted to the control optimization module through two channels. When one channel fails, the other channel continues to transmit data.

[0020] Further, the control optimization module specifically includes:

[0021] For the AC power module, the output parameters of the AC power are adjusted in real time. By using the PID control algorithm combined with the fuzzy control algorithm, the load change and grid fluctuation are quickly responded to, ensuring the stability and precision of the power output. The output parameters include but are not limited to voltage, frequency, phase, and waveform.

[0022] For the AC load module, an adaptive control algorithm is used to simulate various load characteristics and adjust the dynamic characteristics of the load in real time according to the test requirements.

[0023] For the energy feedback module, the parameters during the energy feedback process are monitored in real time, and the feedback efficiency is dynamically adjusted according to the parameters to realize the optimization control of the energy feedback module, ensuring that the excess energy absorbed by the AC load module is efficiently and safely fed back to the grid or energy storage equipment.

[0024] Further, the fault diagnosis module specifically includes:

[0025] A distributed diagnosis architecture is adopted to disperse the fault diagnosis function to the AC power module, AC load module, and energy feedback module, so that each module has independent fault monitoring and diagnosis capability.

[0026] A reasonable threshold range is set for each monitoring parameter. When the monitored parameter exceeds the threshold, an abnormal alarm is triggered immediately.

[0027] Through machine learning algorithm, the historical fault data is learned and analyzed to classify and identify the monitoring parameters that exceed the threshold, which is used to diagnose the fault type and location.

[0028] According to the diagnosed fault type and location, the corresponding protection strategy is started, and a cooperative protection mechanism is established to enable the modules to cooperate with each other. When a module detects a fault, it notifies other modules to take appropriate protective measures.

[0029] Further, the AC power module includes:

[0030] An inverter circuit configured to convert a DC power source into an AC power source.

[0031] A digital signal processor configured to control the inverter frequency and output waveform of the inverter circuit to realize programmable AC power output.

[0032] The isolation transformer is configured to isolate the AC power supply from the AC load module, ensuring the safety of the system.

[0033] Further, the AC load module comprises:

[0034] The variable impedance circuit is configured to simulate different impedance characteristics of the load.

[0035] The load controller is configured to adjust the impedance value of the variable impedance circuit according to the instructions of the control module, to simulate different load characteristics.

[0036] Further, the energy feedback module comprises:

[0037] The rectifier circuit is configured to convert the AC power consumed by the AC load module into DC power.

[0038] The energy feedback controller is configured to control the rectification efficiency of the rectifier circuit and to feed back the converted DC power to the DC power supply or energy storage device.

[0039] The energy storage device is configured to store the feedback power for subsequent use.

[0040] Further, the control module is further configured to:

[0041] Classify the monitoring data fed back by the test module to obtain multiple categories of data sets;

[0042] For each data set, a feature description vector is obtained by performing feature description on the data set, and the feature description vector is matched with a plurality of preset evaluation vectors corresponding to the category of the data set, to obtain a plurality of matching degrees. The working state score represented by the data set is calculated based on the matching degrees by the following formula:

[0043]

[0044] where Y is the working state score represented by the data set, P i is the matching degree between the feature description vector and the i-th evaluation vector, D i is the preset evaluation weight corresponding to the i-th evaluation vector, and N is the total number of evaluation vectors.

[0045] The module control optimization necessity value is calculated based on the working state scores of different data sets by the following formula:

[0046]

[0047] where B is the module control optimization necessity value, Y j is the working state score of the j-th data set, Y full is the preset working state evaluation full score, and G ja preset necessary weight corresponding to a class of the jth data set, and Q is the total number of data sets;

[0048] When the module control optimization necessary value exceeds the preset necessary value threshold, the planning module control optimization strategy is planned based on the monitoring data;

[0049] Based on the module control optimization strategy, the AC power module, the AC load module and the energy feedback module are controlled and optimized.

[0050] Further, the feedback programmable AC source and load integrated test system further comprises:

[0051] The visual interaction module is configured to:

[0052] The visual interaction model is constructed by using the output parameters of the AC power supply, the input parameters of the AC load module and the working state of the energy feedback module monitored by the test module in real time.

[0053] The visual interaction model is output to the user.

[0054] When the user inputs a control instruction for controlling any one of the AC power module, the AC load module and the energy feedback module based on the visual interaction model, the control instruction is verified for feasibility.

[0055] When the feasibility verification is passed, the control instruction is responded.

[0056] When the feasibility verification is not passed, an interactive interface and an interface display content control timeline are made to make the user most easily understand the reason why the control instruction is not verified for feasibility.

[0057] Based on the interface display content control timeline, the interactive interface displays the corresponding content to the user.

[0058] When the user represents to accept the reason why the control instruction is not verified for feasibility, the user is guided to modify the control instruction.

[0059] Compared with the prior art, the beneficial effects of the present application are:

[0060] The present application realizes programmable output of AC power supply, flexible simulation of load characteristics and efficient feedback of excess electric energy through the cooperative work of the AC power module, the load module and the energy feedback module, improves the flexibility and resource utilization rate of the test, and the optimization design of the control module, including data acquisition, control optimization and fault diagnosis, etc., ensures the real-time performance, stability and reliability of the system, and can quickly respond to load changes and fault conditions. BRIEF DESCRIPTION OF DRAWINGS

[0061] Figure 1It is a structural schematic view of the feedback programmable AC source load integrated test system of the present application. DETAILED DESCRIPTION

[0062] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0063] In order to solve the technical problems that the existing test system can only provide a single power supply or load function, cannot simultaneously meet the simulation requirements of various complex working conditions, and cannot effectively recover excess energy during the test, resulting in energy waste and increased test cost, please refer to Figure 1 The technical solutions of the present application are provided as follows.

[0064] A feedback programmable AC source load integrated test system, the system comprises:

[0065] An AC power supply module configured to provide programmable AC power output, comprising:

[0066] An inverter circuit configured to convert DC power into AC power, capable of providing stable AC power, ensuring stable output of the AC power supply;

[0067] A digital signal processor configured to control the inverter frequency and output waveform of the inverter circuit, realizing programmable AC power output, so that the AC power supply module can flexibly adjust the output parameters (such as voltage, frequency, phase, waveform, etc.) according to the test requirements, adapt to different test scenarios, and significantly improve the flexibility and universality of the system;

[0068] An isolation transformer configured to isolate the AC power supply from the AC load module, ensuring the safety of the system and effectively preventing the failure of the load side from affecting the power supply side;

[0069] An AC load module configured to absorb AC power and programmably simulate different load characteristics, comprising:

[0070] A variable impedance circuit configured to simulate loads with different impedance characteristics, providing diversified load conditions for the test, so that the test system can be closer to the actual working conditions and meet the test requirements of different power equipment;

[0071] A load controller configured to adjust the impedance value of the variable impedance circuit according to the instructions of the control module, realizing the simulation of different load characteristics. The dynamic adjustment capability enables the system to respond to test requirements in real time, simulate the dynamic characteristics such as sudden change and gradual change of the load, and improve the accuracy and reliability of the test.

[0072] The energy feedback module is configured to feed back the excess electric energy absorbed by the AC load module to the power grid or the energy storage device, comprising:

[0073] The rectifier circuit is configured to convert the AC electric energy consumed by the AC load module into DC electric energy, providing a basis for energy feedback, and the conversion process is efficient and stable, ensuring effective recovery of excess electric energy.

[0074] The energy feedback controller is configured to control the rectification efficiency of the rectifier circuit and feed back the converted DC electric energy to the DC power supply or the energy storage device. Through optimized control, the energy feedback module can efficiently feed back the excess electric energy to the power grid or the energy storage device, reducing energy waste and test cost.

[0075] The energy storage device is configured to store the feedback electric energy for subsequent use. The energy storage function not only improves the energy utilization efficiency of the system, but also provides a backup power supply for the test system, enhancing the reliability and flexibility of the system.

[0076] The control module is configured to be connected with the AC power supply module, the AC load module and the energy feedback module, for controlling the running state of each module, and programming and setting the parameters of the AC power supply of the AC power supply module according to the preset test program, adjusting the load characteristics of the AC load module, and optimizing the feedback efficiency of the energy feedback module.

[0077] The test module is configured to monitor the output parameters of the AC power supply, the input parameters of the AC load module and the working state of the energy feedback module in real time, and feed back the monitoring data to the control module.

[0078] In this embodiment, the AC power supply module and the AC load module both have programmable characteristics, which can flexibly adjust the output parameters and load characteristics according to different test requirements. This programmable feature enables the system to adapt to a wide range of test scenarios, meeting the diverse needs of different power equipment in the research and development, testing and verification stages, greatly enhancing the versatility and applicability of the system. The energy feedback module can efficiently feed back the excess electric energy absorbed by the AC load module to the power grid or the energy storage device, avoiding the waste of excess energy and reducing energy consumption during the test process. This feature not only saves energy costs, but also reduces the impact on the environment, meeting the requirements of sustainable development.

[0079] The technical effects of the above technical scheme are as follows: the system integrates three functional modules of AC power output, load simulation and energy feedback, and can simultaneously meet the needs of power supply, load characteristic simulation and surplus energy recovery in power equipment testing; the multi-functional integrated design avoids the problems of equipment dispersion and single function in the traditional testing system, significantly improves the overall efficiency and resource utilization rate of the testing system; the control module realizes centralized control and optimized management of the whole system by being connected with each module, automatically adjusts the running state of each module according to the preset test program, ensures the smooth progress of the test process, and further improves the performance of the system and the accuracy of the test by optimizing the control of AC power parameters, load characteristics and energy feedback efficiency; the test module can real-time monitor the output parameters of the AC power, the input parameters of the AC load module and the working state of the energy feedback module, and feed the monitoring data back to the control module, so that the test personnel can know the running state of the system in time, quickly find and solve problems, and improve the reliability and safety of the test.

[0080] The control module comprises:

[0081] The data acquisition module is configured to be connected with the test module, real-time receive the real-time monitoring data of the test module, including the output parameters of the AC power, the input parameters of the AC load module and the working state data of the energy feedback module, and process and analyze the collected data, extract key information and feed back to the control optimization module for real-time control and optimization;

[0082] The control optimization module is configured to control and optimize the AC power module, the AC load module and the energy feedback module respectively according to the real-time monitoring data;

[0083] The fault diagnosis module is configured to real-time monitor the working state of each module, and once detects a fault or abnormal condition, immediately starts the fault diagnosis and protection strategy, cuts off the power supply of the related module and issues a fault alarm information.

[0084] The technical effects of the above technical solutions are: the data acquisition module can receive the monitoring data of the test module in real time, process and analyze the data, and extract key information, so that the system can quickly respond to changes in the test process, providing data support for precise control. By extracting key information (such as the harmonic content of the voltage waveform, the dynamic change of the load power, etc.), the control optimization module can accurately control and optimize the AC power module, the AC load module and the energy feedback module, ensuring the stability and accuracy of the test process. The control optimization module optimizes the control of each module according to the real-time monitoring data, significantly improving the overall performance and test efficiency of the system. The fault diagnosis module can monitor the working state of each module in real time. Once a fault or abnormal condition is detected, the fault diagnosis and protection strategy is immediately started. This rapid response mechanism can effectively prevent the further expansion of the fault and protect the safety of the test equipment and personnel.

[0085] The data acquisition module specifically includes:

[0086] It is equipped with multiple data acquisition channels, which simultaneously receive the output parameters of the AC power supply, the input parameters of the AC load module and the working state data of the energy feedback module.

[0087] And it uses intelligent sensing technology to real-time sense the running state of each module and the change of external environment, and dynamically adjusts the acquisition and processing strategy according to the real-time sensing information. For example, when a sudden change in load characteristics is detected, the module can automatically increase the acquisition frequency to increase the accuracy and density of data processing, so as to more accurately capture the changes in system state.

[0088] After data acquisition, the data is preprocessed, including data calibration and filtering operation. An adaptive filtering algorithm is used to automatically adjust the filtering parameters according to the dynamic characteristics of the data, effectively removing high-frequency noise and low-frequency interference. At the same time, through the data calibration algorithm, the collected data is calibrated in real time to compensate for the errors and drift of the hardware equipment.

[0089] From the processed data, key information is extracted. For the output parameters of the AC power supply, the harmonic content, frequency stability and phase deviation of the voltage waveform are extracted. For the input parameters of the AC load module, the dynamic change of the load power and the impedance characteristic feature are extracted. For the working state data of the energy feedback module, the feedback efficiency and the fluctuation characteristics of the feedback power are extracted.

[0090] After feature extraction, the collected data is compressed and a redundant transmission mechanism is used. The compressed data is transmitted to the control optimization module through two channels. When one channel fails, the other channel continues to transmit data.

[0091] The technical effects of the above technical solutions are: the multi-channel acquisition mode realizes comprehensive monitoring of each key link of the entire test system, ensures the integrity of the data and the comprehensive grasp of the system operation state, provides a rich data basis for subsequent analysis and control, through intelligent sensing and dynamic adjustment capability, the data acquisition module can adapt to complex test environment and changing working conditions, improve the flexibility and adaptability of the system, the adaptive filtering algorithm and data calibration algorithm are used for pre-processing the data, providing high-quality data support for subsequent analysis and control, reducing misjudgment or control failure caused by data error, and extracting key information from the processed data, so that the system can quickly identify and analyze the key factors affecting the test process, providing accurate decision basis for the control optimization module, thereby realizing efficient real-time control and optimization, and the data after feature extraction is compressed, and a redundant transmission mechanism is used, and the data is transmitted to the control optimization module through a double channel, the data compression reduces the data amount in the transmission process, improves the transmission efficiency, reduces the transmission delay, and the redundant transmission mechanism ensures the reliability of data transmission.

[0092] In summary, the data acquisition module significantly improves the accuracy, efficiency and reliability of data acquisition through multi-channel acquisition, intelligent sensing, data preprocessing, key information extraction, data compression and redundant transmission, and provides high-quality data support for the optimization control and fault diagnosis of the test system, thereby improving the performance and test accuracy of the entire test system.

[0093] The control optimization module specifically includes:

[0094] For the AC power module: real-time adjustment of the output parameters of the AC power supply, by using the PID control algorithm combined with the fuzzy control algorithm, rapid response to load changes and power grid fluctuations, to ensure the stability and accuracy of the power output, wherein the output parameters include but are not limited to voltage, frequency, phase, waveform; this high-precision power control capability is crucial for accurate testing and verification of power equipment, and can significantly improve the reliability and repeatability of the test;

[0095] For the AC load module: according to the test requirements, an adaptive control algorithm is used to simulate various load characteristics (such as purely resistive, inductive, capacitive loads and their combinations), and to adjust the dynamic characteristics of the load (such as load mutation, gradual change, etc.) in real time; this flexibility enables the test system to adapt to various complex test scenarios, simulating load changes under real working conditions, providing a more realistic test environment for performance evaluation and reliability testing of power equipment;

[0096] For the energy feedback module, real-time monitoring of parameters (such as feedback current, voltage, power, etc.) during the energy feedback process is performed, and the feedback efficiency is dynamically adjusted according to the parameters, realizing the optimal control of the energy feedback module, ensuring that the excess energy absorbed by the AC load module is efficiently and safely fed back to the power grid or energy storage device; such optimal control can ensure that the excess energy absorbed by the AC load module is efficiently and safely fed back to the power grid or energy storage device, avoiding waste of excess energy, reducing test costs, and reducing the impact on the environment, meeting the requirements of energy saving and emission reduction.

[0097] The technical effects of the above technical solutions are: the control optimization module realizes efficient operation of the entire test system through collaborative optimization control of the AC power module, the AC load module and the energy feedback module. This overall optimization not only improves the performance of each module, but also enhances the collaborative working ability of the modules, ensuring the stability and efficiency of the test process.

[0098] The fault diagnosis module specifically includes:

[0099] A distributed diagnostic architecture is adopted, and the fault diagnosis function is dispersed to the AC power module, the AC load module and the energy feedback module, so that each module has independent fault monitoring and diagnosis capability; the distributed architecture can quickly detect the occurrence of faults, avoiding the delay and single-point fault risk that may be caused by centralized diagnosis;

[0100] A reasonable threshold range is set for each monitoring parameter, and when the monitored parameter exceeds the threshold, an abnormal alarm is triggered immediately; the real-time monitoring mechanism can quickly respond to faults and notify the operator or automatically take protective measures in a timely manner, reducing the impact of faults on equipment and tests;

[0101] Through machine learning algorithm learning and analysis of historical fault data, the monitoring parameters exceeding the threshold are classified and identified to diagnose the fault type and location, thereby reducing the possibility of misjudgment and omission;

[0102] According to the diagnosed fault type and location, the corresponding protection strategy is started, and a collaborative protection mechanism is established, so that the modules can cooperate with each other. When one module detects a fault, it notifies other modules to take appropriate protective measures. Through the linkage protection between modules, it is ensured that the entire system can quickly enter a safe state when a fault occurs. For example, when the AC load module detects an overload fault, not only will it take protective measures itself, but also will notify the AC power module to reduce the output power, and at the same time notify the energy feedback module to stop feedback operation, avoiding impact on the power grid or energy storage device.

[0103] The technical effects of the above technical solutions are that the fault diagnosis module significantly improves the reliability, safety and intelligent level of the test system, reduces maintenance costs, improves test efficiency, and provides a strong guarantee for the test research of power equipment through rapid fault detection, accurate diagnosis, collaborative protection and other technical means.

[0104] Working principle: Through the integration of AC power module, AC load module, energy feedback module, control module and test module, multifunctional integrated design is realized. The AC power module provides programmable AC power output to meet different test requirements. The AC load module can simulate various load characteristics and adapt to complex working conditions. The energy feedback module efficiently feeds back excess energy to the power grid or energy storage equipment to achieve energy saving and consumption reduction. The control module centrally controls the operating state of each module, optimizes power parameters, load characteristics and feedback efficiency, and ensures efficient and stable testing. The test module monitors system operating parameters in real time and feeds back to the control module to ensure safe and reliable testing. The system significantly improves test efficiency, flexibility and reliability, and reduces test costs and energy consumption.

[0105] The control module is further configured to:

[0106] Classify the monitoring data fed back by the test module to obtain a plurality of categories of data sets;

[0107] For each data set, a feature description vector is obtained by performing feature description on the data set, and a plurality of matching degrees are obtained by matching the feature description vector with a plurality of preset evaluation vectors corresponding to the category of the data set. The working state score represented by the data set is calculated based on the matching degrees by the following formula:

[0108]

[0109] Wherein, Y is the working state score represented by the data set, P i is the matching degree between the feature description vector and the i-th evaluation vector, D i is the preset evaluation weight corresponding to the i-th evaluation vector, and N is the total number of evaluation vectors.

[0110] The module control optimization necessity value is calculated based on the working state scores of different data sets by the following formula:

[0111]

[0112] Wherein, B is the module control optimization necessity value, Y j is the working state score of the j-th data set, Y full is the preset working state evaluation full score, G j is the preset necessary weight corresponding to the category of the j-th data set, and Q is the total number of data sets.

[0113] When the module control optimization necessity value exceeds the preset necessity value threshold, the planning module control optimization strategy is formulated based on the monitoring data;

[0114] Based on the module control optimization strategy, the AC power module, the AC load module and the energy feedback module are controlled and optimized.

[0115] The working principle and beneficial effects of the above technical solutions are:

[0116] The control module realizes intelligent optimization decision through data-driven quantitative evaluation. First, the monitoring data (including AC power output parameters, load input parameters, and energy feedback state) fed back by the test module are classified to form multiple independent data sets (such as power stability data set, load dynamic characteristic data set, and feedback efficiency data set). For each data set, key features (such as voltage harmonic distortion rate, load power change slope, and feedback current fluctuation amplitude) are extracted to generate a feature description vector. The vector is matched with a preset evaluation vector (representing ideal working condition parameters) to calculate the matching degree (for example, using a cosine similarity algorithm), and then the working state score is obtained through weighted calculation. When setting different preset evaluation weights corresponding to different evaluation vectors, such as setting the harmonic content weight to 0.3 and the phase deviation weight to 0.1. The score result reflects the deviation degree of the current module state from the ideal value. Subsequently, the scores of all data sets are integrated, and the control optimization necessity value is calculated through a formula. When the control optimization necessity value exceeds the preset threshold (such as 30%), the optimization strategy is automatically formulated based on real-time data analysis (for example, adjusting the power waveform to compensate for harmonics, reducing the demand for load impedance matching mutation, and improving the rectifier circuit efficiency), and the power module, load module, and feedback module are simultaneously controlled to execute parameter adjustment, forming a closed-loop control of monitoring, evaluation, decision, and execution. When setting different preset necessity weights corresponding to different categories of data sets, such as setting the load data set weight to 0.5 and the feedback data set weight to 0.3. The full score of the working state evaluation is set to 10.

[0117] In the embodiment of the application, the quantitative scoring mechanism replaces the traditional threshold alarm, which can identify potential performance degradation (for example, a 15% decrease in score caused by a slow increase in voltage harmonics) at the initial stage of system fluctuation. This mechanism initiates optimization in advance, effectively avoiding faults, and significantly improves efficiency compared to traditional systems. In addition, the above-mentioned closed-loop optimization mechanism can significantly improve energy utilization.

[0118] The feedback programmable AC source load integrated test system further comprises:

[0119] The visual interaction module is configured to:

[0120] The output parameters of the alternating current power supply monitored in real time by the test module, the input parameters of the alternating current load module, and the working state of the energy feedback module are used to construct a visual interactive model.

[0121] The visual interactive model is output to the user.

[0122] When the user inputs a control instruction for any of the alternating current power supply module, the alternating current load module, and the energy feedback module based on the visual interactive model, the control instruction is subjected to feasibility verification.

[0123] When the feasibility verification is passed, the control instruction is responded to.

[0124] When the feasibility verification is not passed, an interactive interface and an interface display content control timeline that make the user most easily understand the reason why the control instruction is not verified are made.

[0125] Based on the interface display content control timeline, the interactive interface displays corresponding content to the user.

[0126] When the user indicates acceptance of the reason why the control instruction is not verified, the user is guided to modify the control instruction.

[0127] The working principle and beneficial effects of the above technical solution are as follows:

[0128] Based on the power output voltage waveform, load impedance curve, feedback power thermal diagram, and other data collected in real time by the test module, a visual interactive model (such as a topology structure dynamic rendering, a parameter trend animation, etc.) is generated. After the user inputs a control instruction (such as setting the power frequency to 52 Hz) through the interface, the system starts three layers of verification: boundary check (detecting whether the instruction is out of range, such as detecting whether the frequency is out of the range of ±5%); conflict analysis (checking whether the load module supports frequency change); and dynamic simulation (predicting the system state change after the instruction is executed). If the verification fails, a gradual prompt interface is generated: the first frame highlights the conflict position (such as a load controller overload warning icon), the second frame superimposes a data comparison graph (such as a graph showing the comparison of related data between the current load capacity of 50 Hz and the instruction demand of 52 Hz), and the last frame provides a modification suggestion (such as "step up to 51 Hz"). The interface content is displayed frame by frame according to the interface display content control timeline, ensuring that the user gradually understands the fault logic. When the user confirms the reason, the modification process is guided: the instruction error parameter item is automatically located, a sliding bar amplitude limiting adjustment is provided (such as limiting 52 Hz back to the range of 50 Hz-51 Hz), and the model is previewed in real time to show the modification effect.

[0129] In the embodiments of the present application, the system realizes efficient and safe control of man-machine cooperation. The three-dimensional visual model reduces the operation threshold and improves the decision efficiency by converting electrical parameters into intuitive images. The three-layer verification mechanism effectively intercepts the risk of misoperation and avoids equipment damage. For example, when the user sets the load beyond the safe range, the system can predict and freeze the instruction to prevent resonance and other faults. The progressive prompt interface helps users quickly understand and solve problems by gradually displaying problems, shortening the response time. Finally, the system guides the user to correct the control instruction, making the operation more smooth and safe, and improving the user experience.

[0130] It should be noted that, in this text, relational terms such as first and second are used only to distinguish one entity or action from another, and do not necessarily require or imply that there is any such actual relationship or order between these entities or actions. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0131] Although the embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present application.

Claims

1. A feedback programmable AC source and load integrated test system, characterized in that: The system comprises: an AC power module configured to provide a programmable AC power output; an AC load module configured to absorb AC power and programmably simulate different load characteristics; an energy feedback module configured to feed back excess electric energy absorbed by the AC load module to a power grid or an energy storage device; a control module configured to connect to the AC power module, the AC load module, and the energy feedback module, and to control the operating status of each module, and to program and set the parameters of the AC power supply of the AC power module according to a preset test program, and to adjust the load characteristics of the AC load module, and to optimize and control the feedback efficiency of the energy feedback module; The test module is configured to monitor the output parameters of the AC power supply, the input parameters of the AC load module and the working status of the energy feedback module in real time, and feed the monitoring data back to the control module.

2. The feedback programmable AC source and load integrated test system according to claim 1, characterized in that: The control module includes: a data acquisition module configured to connect to the test module, receive real-time monitoring data from the test module, including the output parameters of the AC power supply, the input parameters of the AC load module, and the working status data of the energy feedback module, process and analyze the collected data, extract key information, and feed it back to the control optimization module for real-time control and optimization; A control optimization module configured to control and optimize the AC power module, the AC load module, and the energy feedback module respectively according to real-time monitoring data; The fault diagnosis module is configured to monitor the working status of each module in real time. When a fault or abnormality is detected, it immediately starts the fault diagnosis and protection strategy, cuts off the power supply of the relevant module and issues a fault alarm message.

3. The feedback programmable AC source and load integrated test system according to claim 2, characterized in that: The data acquisition module is specifically: Equipped with multiple data acquisition channels, it can simultaneously receive the output parameters of the AC power supply, the input parameters of the AC load module, and the working status data of the energy feedback module; It also uses intelligent sensing technology to perceive the operating status of each module and changes in the external environment in real time, and dynamically adjusts the collection and processing strategies based on the real-time sensing information; After data collection, the data is pre-processed, including data calibration and filtering operations. Adaptive filtering algorithms are used to automatically adjust filtering parameters according to the dynamic characteristics of the data to effectively remove high-frequency noise and low-frequency interference. At the same time, the collected data is calibrated in real time through data calibration algorithms to compensate for errors and drifts of hardware equipment. Extract key information from the processed data. For the output parameters of the AC power supply, extract the harmonic content, frequency stability, and phase deviation of the voltage waveform; for the input parameters of the AC load module, extract the dynamic changes in load power and impedance characteristics; for the working status data of the energy feedback module, extract the fluctuation characteristics of the feedback efficiency and feedback power; After feature extraction, the collected data is compressed and transmitted to the control optimization module through dual channels using a redundant transmission mechanism. When one channel fails, the other channel continues to transmit data.

4. The feedback programmable AC source and load integrated test system according to claim 2, characterized in that: The control optimization module is specifically: For AC power modules: Real-time adjustment of AC power output parameters. By combining PID control algorithms with fuzzy control algorithms, it quickly responds to load changes and grid fluctuations, ensuring the stability and accuracy of power output. Output parameters include but are not limited to voltage, frequency, phase, and waveform. For AC load modules: Adopt adaptive control algorithms to simulate various load characteristics and adjust the dynamic characteristics of the load in real time according to test requirements; For the energy feedback module: real-time monitoring of parameters during the energy feedback process, and dynamic adjustment of the feedback efficiency based on the parameters, to achieve optimized control of the energy feedback module, ensuring that the excess electric energy absorbed by the AC load module is efficiently and safely fed back to the grid or energy storage equipment.

5. The feedback programmable AC source and load integrated test system according to claim 2, characterized in that: The fault diagnosis module is specifically: Adopting a distributed diagnostic architecture, the fault diagnosis function is dispersed among the AC power module, AC load module, and energy feedback module, so that each module has independent fault monitoring and diagnosis capabilities; Set a reasonable threshold range for each monitoring parameter. When the monitored parameter exceeds the threshold, an abnormal alarm will be triggered immediately. Then, through machine learning algorithms, historical fault data is learned and analyzed to classify and identify monitoring parameters that exceed the threshold value, which is used to diagnose the fault type and location; The corresponding protection strategy is initiated according to the diagnosed fault type and location, and a collaborative protection mechanism is established to enable the modules to cooperate with each other. When a module detects a fault, it notifies other modules to take corresponding protection measures.

6. The feedback programmable AC source and load integrated test system according to claim 1, characterized in that: The AC power supply module includes: an inverter circuit configured to convert the DC power into an AC power; a digital signal processor configured to control an inverter frequency and an output waveform of an inverter circuit to achieve programmable AC power output; The isolation transformer is configured to isolate the AC power supply and the AC load module to ensure the safety of the system.

7. The feedback programmable AC source and load integrated test system according to claim 1, characterized in that: The AC load module includes: a variable impedance circuit configured to simulate loads of different impedance characteristics; The load controller is configured to adjust the impedance value of the variable impedance circuit according to the instruction of the control module to achieve simulation of different load characteristics.

8. The feedback programmable AC source and load integrated test system according to claim 1, characterized in that: The energy feedback module includes: a rectifier circuit configured to convert AC power consumed by the AC load module into DC power; an energy feedback controller configured to control the rectification efficiency of the rectification circuit and feed back the converted DC power to the DC power supply or the energy storage device; The energy storage device is configured to store the fed-back electrical energy for subsequent use.

9. The feedback programmable AC source and load integrated test system according to claim 1, characterized in that: The control module is further configured to: Classify the monitoring data fed back by the test module to obtain data sets of multiple categories; For each data set, a feature description is performed on the data set to obtain a feature description vector. The feature description vector is matched with multiple preset evaluation vectors corresponding to the category of the data set to obtain multiple matching degrees. The work status score represented by the data set is calculated based on each matching degree using the following formula: Among them, Y is the work status score represented by the data set, P i is the matching degree between the feature description vector and the i-th evaluation vector, D i is the preset evaluation weight corresponding to the i-th evaluation vector, and N is the total number of evaluation vectors; The following formula is used to calculate the necessary values ​​for module control optimization based on the working status scores of different data sets: Among them, B is the necessary value for module control optimization, Y j Score the working status of the jth data set, Y full The default working status evaluation is full score, G j is the preset necessary weight corresponding to the category of the jth data set, and Q is the total number of data sets; When the module control optimization necessary value exceeds the preset necessary value threshold, the module control optimization strategy is planned based on the monitoring data; Based on the module control optimization strategy, the AC power module, AC load module and energy feedback module are controlled and optimized.

10. The feedback programmable AC source and load integrated test system according to claim 1, characterized in that: Also includes: Visual interaction module, configured as follows: A visual interactive model is constructed using the output parameters of the AC power supply, the input parameters of the AC load module, and the working status of the energy feedback module monitored in real time by the test module; Output a visual interaction model to the user; When the user inputs a control instruction for controlling any module among the AC power module, AC load module and energy feedback module based on the visual interactive model, the feasibility of the control instruction is verified; When the feasibility verification is passed, respond to the control instruction; When the feasibility verification fails, an interactive interface and a timeline for controlling the content displayed on the interface are created to make it easier for users to understand the reason why the control instruction feasibility verification fails. Control the timeline based on the content displayed on the interface, and control the interactive interface to display corresponding content to the user; When the user indicates the reason why the feasibility of accepting the control instruction fails to pass the verification, the user is guided to correct the control instruction.

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