A method and device for detecting feasibility of DC power supply for AC electrical equipment

Abstract

The invention discloses a method and device for detecting the feasibility of direct current power supply of alternating current electrical equipment, which relates to the technical field of direct current power supply, and comprises the following steps: performing a power supply switching test on the alternating current electrical equipment to obtain performance comparison results and abnormality comparison results; performing a feasibility assessment based on the performance comparison results and the abnormality comparison results, and classifying the feasibility of direct current power supply of the equipment; simulating the equipment of the feasible class after optimization, and optimizing the alternating current to direct current scheme; and establishing an optimization effect evaluation model to generate an optimization effect evaluation value, comparing the optimization effect evaluation value with a preset optimization effect reference value, and classifying the optimization effect; by comparing and classifying the optimization effects, a comprehensive and scientific evaluation system is formed, which ensures the accurate judgment of the feasibility of direct current power supply of the alternating current electrical equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of direct current power supply, and more specifically, to a method and device for detecting the feasibility of direct current power supply for alternating current electrical equipment. Background Art

[0002] With the continuous increase in energy demand and the diversification of energy supply forms, DC power supply technology has gradually attracted attention. Traditional AC electrical equipment is usually designed to receive AC power supply, but with the development of DC power supply technology, people have begun to explore the possibility of transforming or adapting AC electrical equipment to DC power supply.

[0003] Alternating current is a form of electric current that changes periodically. It is widely used in power transmission and power supply systems. The characteristics of alternating current are that it can achieve voltage rise and fall through transformers, which is convenient for long-distance transmission and distribution, and the loss during power generation and transmission is relatively small, but the periodic changes in its frequency and amplitude may affect certain equipment and applications.

[0004] Direct current is a form of current in which the direction of the current remains constant. Direct current is widely used in many electronic devices, such as battery-powered devices and electronic devices; compared with alternating current, direct current is characterized by its ability to provide stable voltage and current, making it suitable for many applications that require precise control and stable power supply.

[0005] For example, a carbon-magnesium AC battery is announced in the invention patent with announcement number CN115312837A, which is characterized by a positive electrode sheet, a negative electrode sheet, and a diaphragm and electrolyte arranged between the positive electrode sheet and the negative electrode sheet, including the following production steps: applying an anti-corrosion insulating material to the prepared negative electrode sheet, and sticking the prepared non-woven fabric to one side of the negative electrode sheet; applying the electrolyte prepared by mixing with water in advance on the non-woven fabric; then covering the prepared positive electrode sheet on the electrolyte, sealing, and completing the preparation; the negative electrode is a negative electrode active material containing magnesium, the positive electrode is a stainless steel sheet, and the electrolyte is carbon powder. The manufactured battery is sealed in a high-humidity container, the human body cell bioelectric frequency is 50.070 Hz, the manufactured single chip has a measured voltage of 1.45V, a current of about 10uA, and the frequency generated is exactly about 50HZ, plus or minus 0.3 Hz, and the output voltage of the two chips combined is 2.9V after measurement.

[0006] For example, the invention patent with announcement number CN111200143B announces a DCDC output current control system based on a fuel cell, including the control circuit, the main control end of the control system operation; a secondary battery that provides power to system parts or external system external loads or is charged; a stack that converts the chemical energy of the fuel into power; a voltage sensor that measures the voltage of the secondary battery; a stack voltage sensor that measures the voltage of the stack; a current sensor that measures the current of the secondary battery; a stack output current sensor that measures the output current of the stack; a DCDC that converts the output power of the stack into power consistent with the voltage of the secondary battery and the DCDC can be controlled by the control circuit to adjust the output current of the DCDC; and an output current sensor that measures the output of the fuel cell system to the external load of the system. The control system prevents the occurrence of life decay, heating, explosion and other phenomena caused by overcharging of the secondary battery, protects the fuel cell stack and reduces the life decay of the fuel cell stack.

[0007] The above disclosed technical solutions have at least the following technical problems:

[0008] The current direction and magnitude of alternating current change periodically, while the current direction of direct current remains constant; this leads to differences in power supply and transmission systems, equipment selection and control methods, etc. The existing technology lacks a feasibility assessment method and device for effectively converting AC electrical equipment into DC power supply.

[0009] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0010] In order to overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a method and device for detecting the feasibility of DC power supply of AC electrical equipment, and solve the problems raised in the above-mentioned background technology through DC power supply detection technology.

[0011] To achieve the above object, the present invention provides the following technical solutions:

[0012] A method for detecting the feasibility of direct current power supply for alternating current electrical equipment comprises the following steps: performing a power supply switching test on the alternating current electrical equipment, obtaining current waveform data and power quality data to determine a performance value, monitoring the tolerance data of components in real time, and determining the type of equipment abnormality; comparing the performance value with a preset performance standard value to obtain a performance comparison result; comparing the equipment abnormality type with an equipment abnormality table to obtain an abnormality comparison result; classifying the feasibility of direct current power supply for the equipment according to the performance comparison result and the abnormality comparison result, wherein the direct current power supply feasibility classification includes a feasible class, an infeasible class, and an optimized feasible class; simulating the equipment in the optimized feasible class to optimize the alternating current to direct current scheme; performing a power supply switching test on the equipment using the optimized alternating current to direct current scheme, and establishing an optimization effect evaluation model to generate an optimization effect evaluation value; classifying the optimization effect according to the optimization effect evaluation value, and then judging the feasibility of direct current power supply for the equipment in the optimized feasible class.

[0013] In a preferred embodiment, the current waveform data includes a current waveform performance evaluation coefficient, the power quality data includes a power quality performance evaluation coefficient; and the component tolerance data includes a component tolerance evaluation coefficient.

[0014] In a preferred embodiment, the methods for obtaining the performance comparison result and the abnormality comparison result are as follows: The method for obtaining the performance comparison result is:

[0015] Setting a performance standard value, comparing the performance value with a preset performance standard value; when the performance value is greater than or equal to the performance standard value, marking the performance comparison result as good performance; when the performance value is less than the performance standard value, marking the performance comparison result as invalid performance;

[0016] The method for obtaining abnormal comparison results is:

[0017] Sort the components of the AC electrical equipment in descending order according to the component weights to obtain an equipment anomaly table, and compare the equipment anomaly type with the equipment anomaly table. When the total weight is greater than the preset weight threshold, the anomaly comparison result is marked as equipment anomaly; when the total weight is less than or equal to the preset weight threshold, the anomaly comparison result is marked as equipment normal.

[0018] In a preferred embodiment, the specific method for classifying the feasibility of DC power supply of equipment according to the performance comparison results and the abnormality comparison results is as follows:

[0019] When the performance comparison result is good performance and the abnormal comparison result is normal equipment, the DC power supply feasibility is classified as feasible; when the performance comparison result is invalid performance and the abnormal comparison result is abnormal equipment, the DC power supply feasibility is classified as infeasible; when the performance comparison result is invalid performance and the abnormal comparison result is normal equipment or the performance comparison result is good performance and the abnormal comparison result is abnormal equipment, the DC power supply feasibility is classified as optimized feasible.

[0020] In a preferred embodiment, the specific method for optimizing the AC-to-DC scheme is as follows: the power supply system of the optimized feasible class of AC electrical equipment is modeled based on the control strategy of the circuit simulation software, and the power supply system modeling uses different control strategies for simulation and numerical simulation to obtain different schemes, and compare the performance of different schemes to obtain the optimized AC-to-DC scheme.

[0021] In a preferred embodiment, the specific analysis method of the current waveform performance evaluation coefficient is as follows: obtain the current wave signal during the power supply switching test of the AC electrical equipment, and convert the current wave signal into a time-frequency domain signal; extract the time-frequency characteristics, the time-frequency characteristics include frequency components, energy distribution, and spectrum bandwidth; analyze the spectrum characteristics based on the time-frequency characteristics; and calculate the current waveform performance evaluation coefficient by combining the time-frequency characteristics and the spectrum characteristics.

[0022] In a preferred embodiment, the method for obtaining the power quality performance evaluation coefficient for analysis is as follows: collecting voltage data and current data when the AC electrical equipment is subjected to an AC-DC conversion test, performing denoising and calibration preprocessing on the collected voltage and current data, establishing a state equation based on the voltage data and current data, and establishing a state vector group based on the processed voltage data and current data labels, performing observation updates on the state equation based on the observation equation, and calculating the power quality performance evaluation coefficient based on the updated state vector.

[0023] In a preferred embodiment, the method for obtaining the component tolerance assessment coefficient is as follows:

[0024] Collect first test data of components of AC electrical equipment in different states, the first test data including tolerance labels and related feature impact data, the tolerance labels including normal and damaged, and the related feature impact data are various types of changes occurring in components; perform feature extraction and processing on the collected first test data to obtain feature vectors and corresponding label vectors; perform component tolerance assessment based on logistic regression combined with the feature vectors and the corresponding label vectors to generate unit component tolerance assessment coefficients, integrate all single tolerance assessment coefficients of the first test data, and calculate the component tolerance assessment coefficients.

[0025] A device for detecting the feasibility of direct current power supply for alternating current electrical equipment, characterized by comprising:

[0026] DC power supply module: performs power supply switching test on AC electrical equipment, obtains current waveform data and power quality data to determine performance values, monitors component tolerance data in real time, and determines equipment abnormality types;

[0027] Comparison module: compares the performance value with the preset performance standard value to obtain the performance comparison result; compares the equipment abnormality type with the equipment abnormality table to obtain the abnormality comparison result;

[0028] Feasibility evaluation module: classifies the feasibility of DC power supply of equipment according to the performance comparison results and the abnormality comparison results. The DC power supply feasibility classification includes feasible class, infeasible class, and feasible class after optimization;

[0029] Optimization module: simulates the optimized feasible equipment and optimizes the AC to DC conversion solution;

[0030] Optimization test module: Use the optimized AC-DC conversion solution to perform power supply switching test on the equipment, establish an optimization effect evaluation model, and generate an optimization effect evaluation value;

[0031] Second evaluation module: Classify the optimization effects according to the optimization effect evaluation value, and then judge the feasibility of DC power supply for the feasible equipment after optimization.

[0032] The technical effects and advantages of the method and device for detecting the feasibility of DC power supply for AC electrical equipment of the present invention are as follows:

[0033] 1. The present invention uses multiple means to achieve accurate evaluation of the feasibility of DC power supply for AC electrical equipment. First, an in-depth analysis of the current waveform is performed, including the extraction of characteristics such as frequency components, energy distribution, and spectrum bandwidth, to evaluate the stability and compatibility of the equipment under DC power supply. Secondly, the electrical performance of the equipment is comprehensively evaluated using power quality data, such as voltage stability, frequency stability, etc., to reveal its working conditions in a DC environment. Finally, through component tolerance testing, an in-depth understanding of the tolerance performance of various components inside the equipment under DC power supply conditions is obtained, thereby providing an important reference for the adaptability and reliability of the equipment. These comprehensive means work together to form a comprehensive and scientific evaluation system to ensure accurate judgment of the feasibility of DC power supply for AC electrical equipment.

[0034] 2. The present invention models and simulates AC electrical equipment through circuit simulation software, including the optimization of topology, component parameters and control strategy. The feasibility and stability of the optimized AC-DC scheme are verified through simulation and electrical switching tests. An optimization effect evaluation model based on indicators such as component tolerance data, equipment temperature, current waveform data and power quality data is established to comprehensively evaluate the effect of the optimization scheme. By comparing and classifying the optimization effects, the success and failure of the scheme can be clearly understood, providing important support for the performance improvement of electrical equipment and the optimization of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 The present invention is a schematic structural diagram of a method for detecting the feasibility of direct current power supply for alternating current electrical equipment.

[0036] Figure 2 The present invention is a schematic structural diagram of a device for detecting the feasibility of direct current power supply for alternating current electrical equipment. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Embodiment 1, Figure 1 The present invention provides a method for detecting the feasibility of direct current power supply of an alternating current electrical device, comprising the following steps:

[0039] Perform power supply switching test on AC electrical equipment, and determine performance value based on current waveform data and power quality data of the power supply switching test over a period of time;

[0040] When testing the power supply switching of AC electrical equipment, monitor the tolerance data of components in real time and determine the type of equipment abnormality based on the tolerance data of components;

[0041] Comparing the performance value with a preset performance standard value to obtain a performance comparison result;

[0042] Compare the device abnormality type with the corresponding device abnormality table to obtain an abnormality comparison result;

[0043] Perform feasibility assessment based on the performance comparison results and the abnormality comparison results, and classify the feasibility of DC power supply of the equipment, wherein the DC power supply feasibility classification includes feasible class, infeasible class, and feasible class after optimization;

[0044] Simulate the optimized feasible equipment and optimize the AC to DC conversion solution;

[0045] Use the optimized AC-to-DC solution to perform power supply switching tests on the equipment, establish an optimization effect evaluation model, and generate an optimization effect evaluation value.

[0046] The optimization effect is classified based on the comparison between the optimization effect evaluation value and the preset optimization effect reference value. The optimization effect classification includes optimization success and optimization failure. The DC power supply feasibility category of the AC electrical equipment that is successfully optimized is set to the feasible category, and the DC power supply feasibility category of the AC electrical equipment that fails to be optimized is set to the infeasible category.

[0047] In the face of the evolving power system and technology requirements, it is crucial to assess the feasibility of converting AC electrical equipment to DC power supply. In this challenging task, a feasibility testing method provides the necessary basis for decision makers with its comprehensive analysis and system evaluation capabilities.

[0048] Perform power supply switching test on AC electrical equipment, and determine performance value based on current waveform data and power quality data of the power supply switching test over a period of time;

[0049] The current waveform data includes a current waveform performance evaluation coefficient, and the power quality data includes a power quality performance evaluation coefficient;

[0050] The current waveform is a graph or curve that describes the change of current over time, which reflects the operating state and characteristics of the current in the circuit. Common current waveforms include sine waves, square waves, triangle waves, etc., which have different applications in different types of circuits; by analyzing the current waveform, we can understand the working state and characteristics of various components in the circuit, help engineers optimize circuit design, and improve circuit performance and stability.

[0051] The role and influence of the current waveform performance evaluation coefficient on the feasibility of analyzing the DC power supply of AC electrical equipment are as follows:

[0052] Evaluate the stability of electrical equipment: By analyzing the stability of the current waveform, the stability of AC electrical equipment under DC power supply conditions can be evaluated. A stable current waveform indicates that the equipment can maintain normal operation under DC power supply without being affected by the power supply mode and causing failures or abnormalities.

[0053] Detecting circuit compatibility: The current waveform performance evaluation coefficient can be used to detect the compatibility of various components in the circuit under DC power supply conditions. For example, some components may show unstable or poor characteristics under DC power supply. By evaluating their impact on the current waveform, these problems can be discovered and solved in a timely manner.

[0054] Guiding equipment optimization and improvement: Analyzing the current waveform performance evaluation coefficient can provide guidance for equipment optimization and improvement. By understanding the current waveform characteristics of the equipment under DC power supply, it is possible to determine the parts that may need to be improved or optimized, and propose corresponding improvement plans to improve the performance and adaptability of the equipment under DC power supply conditions.

[0055] Evaluate the reliability of the power supply system: The current waveform performance evaluation coefficient can also be used to evaluate the reliability of the power supply system under DC power supply conditions. A stable current waveform helps reduce the failure rate of electrical equipment in the power supply system and improve the reliability and stability of the power supply system.

[0056] Therefore, analyzing the current waveform performance evaluation coefficient can effectively determine the feasibility of DC power supply for AC electrical equipment.

[0057] The specific analysis method of the current waveform performance evaluation coefficient is as follows:

[0058] Acquire the current wave signal during the power supply switching test of the AC electrical equipment, and convert the current wave signal into a time-frequency domain signal; extract the time-frequency characteristics, wherein the time-frequency characteristics include frequency components, energy distribution, and spectrum bandwidth; analyze the spectrum characteristics based on the time-frequency characteristics, and calculate the current waveform performance evaluation coefficient in combination with the time-frequency characteristics analysis and spectrum characteristics analysis;

[0059] The specific calculation formula for converting the current wave signal into the time-frequency domain is:

[0060]

[0061] Then the calculation formula of the difference between the peak frequency and the center frequency is:

[0062]

[0063] Then the calculation formula of the frequency energy ratio is:

[0064]

[0065] Then the calculation formula of the spectrum balance is:

[0066]

[0067] The calculation formula of the current waveform performance evaluation coefficient is as follows:

[0068]

[0069] In the formula, is the time-frequency domain conversion formula, is the current waveform signal at time t, is the wavelet function, is the scale of the wavelet function, is the translation parameter of the wavelet function; is the difference between the peak frequency and the center frequency, is the center frequency, and is the energy range, The value of is the peak frequency minus half the spectrum bandwidth, The value of is the peak frequency plus half the spectrum bandwidth, is the frequency energy ratio, is the spectrum balance, is the maximum energy within the spectrum, is the minimum energy within the spectrum range, is the current waveform performance evaluation coefficient.

[0070] It should be noted that the wavelet function is a mathematical tool used as the basic function in the wavelet transform. Unlike the Fourier transform which uses sine and cosine functions as the basis functions, the basis functions used by the wavelet transform are localized waveforms with limited support. Wavelet functions have some important characteristics, such as compactness (limited energy), locality (non-zero within a certain range), orthogonality, etc. They can transform signals locally between the time domain and the frequency domain, so they are widely used in signal processing and analysis. Common wavelet functions include Morlet wavelet, Haar wavelet, Daubechies wavelet, etc., which have different advantages and characteristics in different application scenarios. By selecting different wavelet functions, different characteristics of the signal can be captured and analyzed.

[0071] It can be seen from the calculation formula of the current waveform performance evaluation coefficient that when the performance value of the current waveform performance evaluation coefficient is larger, the performance change of the AC-DC conversion is larger, and vice versa, the performance change of the AC-DC conversion is smaller.

[0072] Power quality refers to the characteristics of the stability, reliability and purity of the electric energy in the power supply system. It involves the stability of voltage and current, as well as the degree of distortion of the electric waveform. Good power quality can ensure the normal operation of the power system and avoid problems such as equipment damage, production interruption and energy waste caused by power quality problems. Power quality problems may include voltage fluctuations, voltage sags, voltage flickers, harmonics, electromagnetic interference, etc. These problems will have adverse effects on power equipment, industrial production and civil facilities, so they need to be effectively monitored, analyzed and improved.

[0073] The role and influence of the power quality performance evaluation coefficient on the feasibility of DC power supply for AC electrical equipment are as follows:

[0074] Stability assessment: Power quality directly affects the stable operation of equipment. When analyzing the feasibility of DC power supply for AC electrical equipment, it is necessary to consider the voltage stability and frequency stability of the power supply system to ensure the stable operation of the equipment under DC power supply conditions;

[0075] Distortion impact: Power quality problems can cause distortion of the voltage waveform and increase harmonics, which may have an adverse effect on the performance of AC electrical equipment. When analyzing the feasibility of DC power supply, it is necessary to consider the impact of power quality problems on the electrical performance of the equipment to evaluate the adaptability of the equipment under DC power supply conditions;

[0076] Electromagnetic interference: Power quality problems may also cause electromagnetic interference, affecting the normal operation of equipment. When analyzing the feasibility of DC power supply, it is necessary to consider the impact of electromagnetic interference on the equipment and take corresponding measures to ensure the normal operation of the equipment;

[0077] Equipment adaptability assessment: Power quality has a significant impact on the adaptability of AC electrical equipment under DC power supply conditions. Analyzing power quality issues can help evaluate the performance of equipment under DC power supply conditions, thereby determining its scope of application and improvement direction.

[0078] Therefore, analyzing the power quality performance evaluation coefficient can effectively determine the feasibility of DC power supply for AC electrical equipment.

[0079] The method for obtaining the power quality performance evaluation coefficient is as follows:

[0080] Collecting voltage data and current data when AC electrical equipment is conducting AC-DC conversion testing, pre-processing the collected voltage and current data for denoising and calibration, establishing a state equation based on the voltage data and current data, and establishing a state vector group based on the processed voltage data and current data labels, performing observation updates on the state equation based on the observation equation, and calculating a power quality performance evaluation coefficient based on the updated state vector;

[0081] The state equation is specifically:

[0082]

[0083] The observation equation is specifically:

[0084]

[0085] The specific calculation formula of the power quality performance evaluation coefficient is:

[0086]

[0087] In the formula, is the state vector in the state vector group, k is the number of the state vector, is the process noise, is the control vector, is the updated state vector, To measure noise, is the power quality performance evaluation coefficient, n is the total amount of recorded voltage and current data;

[0088] It can be seen from the calculation formula of the power quality performance evaluation coefficient that when the performance value of the power quality performance evaluation coefficient is larger, the performance change of the AC-DC conversion is larger, and vice versa, the performance change of the AC-DC conversion is smaller.

[0089] The AC-to-DC performance index is calculated by taking the weighted sum of the power quality performance evaluation coefficient and the current waveform performance evaluation coefficient.

[0090] When testing the power supply switching of AC electrical equipment, monitor the tolerance data of components in real time and determine the type of equipment abnormality based on the tolerance data of components;

[0091] The tolerance data of the components include component tolerance assessment coefficients;

[0092] The component tolerance data also includes the component current, voltage, temperature, power factor and other data used to evaluate the component tolerance, which are obtained according to the actual composition of the component.

[0093] The device abnormality type is the type generated in any specific scenario, which may include but is not limited to overload abnormality, voltage instability abnormality, power factor abnormality, thermal failure abnormality and electromagnetic interference abnormality;

[0094] The method for judging overload anomaly is: the current, temperature and other parameters in the tolerance data of the component exceed its design specifications; for example, too high current will cause current overload, and too high temperature may be insufficient heat dissipation or improper design.

[0095] The method for judging voltage instability anomalies is: judging by the voltage fluctuation in the tolerance data; if the voltage fluctuation of the device under DC power supply conditions exceeds the allowable range, it will cause device instability.

[0096] The method for judging power factor abnormality is: the power factor shown in the tolerance data of the component deviates from the normal range; the power factor abnormality may cause the power loss of the equipment to increase.

[0097] The method for judging thermal failure anomalies is as follows: the temperature data of the components rises abnormally during the power supply process; continuous temperature exceeding the standard will lead to thermal failure.

[0098] The method for judging abnormal electromagnetic interference is: the electromagnetic interference level monitored by tolerance data increases abnormally; if the electromagnetic interference level exceeds the standard, it may cause interference with equipment operation.

[0099] It should be noted that the device exception type can be added according to the actual situation, which will not be repeated here.

[0100] The tolerance data of components refers to the data obtained in the tolerance test, which is used to evaluate the performance of various components (such as capacitors, inductors, transistors, etc.) inside electrical equipment under DC power supply conditions. Since DC power supply may have different effects on certain components than AC power supply, it is necessary to conduct tolerance testing. In the test, by applying different levels of DC voltage or current, the response of the components is observed, and their tolerance and performance parameters such as withstand voltage, withstand current, operating temperature range, etc. are recorded. These tolerance data can be used to evaluate the reliability and stability of components under DC power supply conditions, providing an important reference for the design and performance optimization of electrical equipment.

[0101] The role and influence of the tolerance data of the components on the feasibility of DC power supply analysis of AC electrical equipment are as follows:

[0102] Reliability evaluation: Through the tolerance data of components, the reliability of various components (such as capacitors, inductors, transistors, etc.) inside electrical equipment under DC power supply conditions can be evaluated. These data provide performance indicators of components in a DC environment, which helps to evaluate the stability and reliability of equipment under DC power supply conditions.

[0103] Performance analysis: The tolerance data of components can be used to analyze the performance of components under DC power supply conditions, including indicators such as withstand voltage, withstand current, and operating temperature range. By analyzing the performance of components, we can understand the impact of DC power supply on equipment performance and thus evaluate the feasibility of DC power supply.

[0104] Design optimization: Based on the tolerance data of components, the design of AC electrical equipment can be optimized to DC power supply conditions. By selecting components that meet the DC power supply requirements and designing and setting parameters according to their tolerance data, the performance and reliability of the equipment under DC power supply conditions can be improved.

[0105] Safety considerations: Tolerance data can also be used to evaluate the safety of equipment under DC power supply conditions. When analyzing the feasibility of DC power supply for AC electrical equipment, it is necessary to consider the tolerance performance of components to ensure the safe operation of the equipment in a DC environment.

[0106] The method for obtaining the component tolerance assessment coefficient is as follows:

[0107] Collect first test data of components of AC electrical equipment tested through DC power supply switching under different voltage, current and temperature conditions, the test data including tolerance labels and related feature impact data, the tolerance labels including normal and damaged, and the related feature impact data being various types of changes that occur in components; extract and process features of the collected first test data to obtain feature vectors and corresponding label vectors; perform component tolerance assessment based on logistic regression combined with the feature vectors and corresponding label vectors to generate unit component tolerance assessment coefficients, synthesize all single tolerance assessment coefficients of the first test data, and calculate the component tolerance assessment coefficients;

[0108] The calculation formula of the component tolerance assessment coefficient is as follows:

[0109]

[0110] In the formula, is the component tolerance assessment coefficient, is the number of components in the first test data, is the component number, is the component weight, To adjust the parameters, is the label vector.

[0111] From the calculation formula of the component tolerance assessment coefficient, it can be seen that when the performance value of the component tolerance assessment coefficient is larger, the damage to the AC-DC equipment is greater, and vice versa, the damage to the AC-DC equipment is smaller.

[0112] Comparing the performance value with a preset performance standard value to obtain a performance comparison result;

[0113] Specifically, a performance standard value is set, and the performance value is compared with a preset performance standard value; when the performance value is greater than or equal to the performance standard value, the performance comparison result is calibrated as good performance; when the performance value is less than the performance standard value, the performance comparison result is calibrated as invalid performance.

[0114] Compare the device abnormality type with the corresponding device abnormality table to obtain an abnormality comparison result;

[0115] Specifically, the components of the AC electrical equipment are sorted in descending order according to the component weights to obtain an equipment abnormality table, and the equipment abnormality type is compared with the equipment abnormality table. When the total weight is greater than a preset weight threshold, the abnormality comparison result is marked as equipment abnormality; when the total weight is less than or equal to the preset weight threshold, the abnormality comparison result is marked as equipment normal;

[0116] The specific method for obtaining the device exception table is:

[0117] Assign a component weight to each component, and set the weight of the abnormal type of the component as the component weight;

[0118] The weights of the abnormal types of all components of the equipment are sorted in descending order and drawn into a table to obtain the equipment abnormality table;

[0119] It should be noted that the component weights are set through experience or pre-set component weight standards, and can also be obtained based on machine learning training according to factors such as the importance of the components in the operation of the equipment and the impact of the fault on the equipment.

[0120] The device exception type is compared with the device exception table, specifically:

[0121] Match the identified device anomaly type with the component weight in the device anomaly table; that is, check which components have anomalies and their component weights, and add up all matching component weights to get the total weight.

[0122] Perform feasibility assessment based on the performance comparison results and the abnormality comparison results, and classify the feasibility of DC power supply of the equipment, wherein the DC power supply feasibility classification includes feasible class, infeasible class, and feasible class after optimization;

[0123] Specifically, when the performance comparison result is good performance and the abnormal comparison result is that the equipment is normal, the DC power supply feasibility is classified as feasible;

[0124] When the performance comparison result is invalid performance and the abnormal comparison result is equipment abnormality, the DC power supply feasibility is classified as infeasible;

[0125] When the performance comparison result is invalid performance and the abnormal comparison result is normal equipment or the performance comparison result is good performance and the abnormal comparison result is abnormal equipment, the DC power supply feasibility is classified as the optimized feasible class.

[0126] This embodiment uses multiple means to achieve an accurate assessment of the feasibility of DC power supply for AC electrical equipment. First, an in-depth analysis of the current waveform data is performed, including the extraction of features such as frequency components, energy distribution, and spectrum bandwidth, to evaluate the stability and compatibility of the equipment under DC power supply. Secondly, the electrical performance of the equipment is comprehensively evaluated using power quality data, such as voltage stability and frequency stability, to reveal its working conditions in a DC environment. Finally, through component tolerance testing, an in-depth understanding of the tolerance performance of various components inside the equipment under DC power supply conditions is obtained, thereby providing an important reference for the adaptability and reliability of the equipment. These comprehensive means work together to form a comprehensive and scientific evaluation system to ensure accurate judgment of the feasibility of DC power supply for AC electrical equipment.

[0127] In Example 2, the optimized feasible equipment is simulated to optimize the AC to DC conversion solution.

[0128] Specifically, the power supply system of the control strategy is modeled, and the power supply system modeling uses different control strategies for simulation and numerical simulation to obtain different schemes, and compare the performance of different schemes to obtain the optimized AC to DC scheme;

[0129] It should be noted that during the modeling process, engineers need to set the parameters of each component in the system, including DC power supply, load, power electronic converter, etc.

[0130] The power supply system modeling of the control strategy is specifically as follows:

[0131] Establish a basic model of AC electrical equipment based on circuit simulation software, including its main electrical characteristics, AC power supply, rectifier, filter, inverter and other components;

[0132] It should be noted that circuit simulation software includes SPICE (such as LTspice, PSpice), MATLAB / Simulink, PSCAD / EMTDC, OrCAD, etc., which can be selected according to actual conditions; electrical characteristics include impedance, capacitance, inductance, etc.

[0133] The different control strategies include but are not limited to circuit control strategies such as strategies based on PID control, strategies based on fuzzy control, and hybrid strategies based on feedforward control plus feedback control;

[0134] It should be noted that adjustments to the steps or parameters of a strategy also belong to different strategies.

[0135] The performance of different solutions is compared as follows:

[0136] Commonly available performance evaluation methods include evaluating performance based on response time, evaluating performance based on steady-state error, and evaluating performance based on overshoot.

[0137] It should be noted that the performance of the solution can be selected and different performance evaluation methods can be added according to actual conditions.

[0138] Use the optimized AC-DC solution to test the power supply switching of the equipment, establish an optimization effect evaluation model based on the tolerance data of the components of the optimized AC electrical equipment, the temperature data of the equipment, the current waveform and the power quality, and generate an optimization effect evaluation value;

[0139] The method for obtaining the optimization effect evaluation value is as follows:

[0140]

[0141] In the formula, To optimize the effect evaluation value, is the preset proportionality factor of the component tolerance assessment coefficient, is the preset proportionality factor of the power quality performance evaluation coefficient, is the preset proportional coefficient of the current waveform performance evaluation coefficient, is the component tolerance assessment coefficient, is the power quality performance evaluation coefficient, is the current waveform performance evaluation coefficient.

[0142] From the calculation formula of the optimization effect evaluation value, it can be seen that the larger the component tolerance evaluation coefficient, the larger the power quality performance evaluation coefficient, and the smaller the current waveform performance evaluation coefficient, that is, the larger the optimization effect evaluation value, the better the optimization effect. Conversely, the smaller the component tolerance evaluation coefficient, the smaller the power quality performance evaluation coefficient, and the larger the current waveform performance evaluation coefficient, that is, the smaller the optimization effect evaluation value, the worse the optimization effect.

[0143] The optimization effects are classified according to the optimization effect evaluation values, and then the feasibility of DC power supply is judged for the feasible equipment after optimization.

[0144] Specifically, the optimization effect is classified by comparing the optimization effect evaluation value with the preset optimization effect reference value, and the optimization effect classification includes optimization success and optimization failure. The DC power supply feasibility category of the AC electrical equipment that is successfully optimized is set to a convertible category, and the DC power supply feasibility category of the AC electrical equipment that fails to be optimized is set to a non-convertible category.

[0145] This embodiment uses circuit simulation software to model and simulate AC electrical equipment, including the optimization of topology, component parameters and control strategy. Through simulation and electrical switching tests, the feasibility and stability of the optimized AC-DC scheme are verified. An optimization effect evaluation model based on indicators such as component tolerance data, equipment temperature, current waveform data and power quality data is established to comprehensively evaluate the effect of the optimization scheme. By comparing and classifying the optimization effects, the success and failure of the scheme can be clearly understood, which provides important support for the performance improvement of electrical equipment and the optimization of the power system.

[0146] Embodiment 3, Figure 2 Provided is a device for detecting the feasibility of DC power supply for AC electrical equipment, comprising:

[0147] DC power supply module: performs power supply switching test on AC electrical equipment, obtains current waveform data and power quality data to determine performance values, monitors component tolerance data in real time, and determines equipment abnormality types;

[0148] Comparison module: compares the performance value with the preset performance standard value to obtain the performance comparison result; compares the equipment abnormality type with the equipment abnormality table to obtain the abnormality comparison result;

[0149] Feasibility evaluation module: classifies the feasibility of DC power supply of equipment according to the performance comparison results and the abnormality comparison results. The DC power supply feasibility classification includes feasible class, infeasible class, and feasible class after optimization;

[0150] Optimization module: simulates the optimized feasible equipment and optimizes the AC to DC conversion solution;

[0151] Optimization test module: Use the optimized AC-DC conversion solution to perform power supply switching test on the equipment, establish an optimization effect evaluation model, and generate an optimization effect evaluation value;

[0152] Second evaluation module: Classify the optimization effects according to the optimization effect evaluation value, and then judge the feasibility of DC power supply for the feasible equipment after optimization.

[0153] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0154] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0155] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0156] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0157] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0158] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for detecting the feasibility of DC power supply for AC electrical equipment, characterized in that: The steps include: Conduct power supply switching tests on AC electrical equipment, obtain current waveform data and power quality data to determine performance values, monitor component tolerance data in real time, and determine equipment abnormality types; Compare the performance value with the preset performance standard value to obtain the performance comparison result; compare the equipment abnormality type with the equipment abnormality table to obtain the abnormality comparison result; Classifying the feasibility of direct current power supply of the equipment according to the performance comparison result and the abnormality comparison result, wherein the direct current power supply feasibility classification includes a feasible class, an infeasible class, and an optimized feasible class; Simulate the optimized feasible equipment and optimize the AC to DC conversion solution; Use the optimized AC-DC solution to perform power switching tests on the equipment, establish an optimization effect evaluation model, and generate an optimization effect evaluation value; The current waveform data includes a current waveform performance evaluation coefficient, the power quality data includes a power quality performance evaluation coefficient; the component tolerance data includes a component tolerance evaluation coefficient; The calculation formula of the optimization effect evaluation value is as follows: In the formula, To optimize the effect evaluation value, is the preset proportionality factor of the component tolerance assessment coefficient, is the preset proportionality factor of the power quality performance evaluation coefficient, is the preset proportionality factor of the current waveform performance evaluation coefficient, is the component tolerance assessment coefficient, is the power quality performance evaluation coefficient, is the current waveform performance evaluation coefficient; The optimization effects are classified according to the optimization effect evaluation values, and then the feasibility of DC power supply is judged for the feasible equipment after optimization.

2. The method for detecting the feasibility of DC power supply for AC electrical equipment according to claim 1, characterized in that: The methods for obtaining the performance comparison results and the abnormality comparison results are as follows: The method for obtaining the performance comparison results is: Setting a performance standard value, and comparing the performance value with a preset performance standard value; When the performance value is greater than or equal to the performance standard value, the performance comparison result is marked as good performance; when the performance value is less than the performance standard value, the performance comparison result is marked as invalid performance; The method for obtaining abnormal comparison results is: The components of the AC electrical equipment are sorted in descending order according to the component weights to obtain an equipment abnormality table, and the equipment abnormality type is compared with the equipment abnormality table. When the total weight is greater than a preset weight threshold, the abnormal comparison result is marked as an equipment abnormality; When the total weight is less than or equal to the preset weight threshold, the abnormal comparison result is marked as normal equipment.

3. The method for detecting the feasibility of DC power supply for AC electrical equipment according to claim 2, characterized in that: The specific method for classifying the feasibility of DC power supply of equipment according to the performance comparison results and the abnormality comparison results is as follows: When the performance comparison result is good performance and the abnormal comparison result is that the equipment is normal, the DC power supply feasibility is classified as feasible; When the performance comparison result is invalid performance and the abnormal comparison result is equipment abnormality, the DC power supply feasibility is classified as infeasible; When the performance comparison result is invalid performance and the abnormal comparison result is normal equipment or the performance comparison result is good performance and the abnormal comparison result is abnormal equipment, the DC power supply feasibility is classified as the optimized feasible class.

4. The method for detecting the feasibility of DC power supply for AC electrical equipment according to claim 3, characterized in that: The specific method for optimizing the AC-DC conversion scheme is as follows: The power supply system of the optimized feasible AC electrical equipment is modeled based on the control strategy of the circuit simulation software. The power supply system modeling uses different control strategies for simulation and numerical simulation to obtain different schemes, and compares the performance of different schemes to obtain the optimized AC to DC scheme.

5. The method for detecting the feasibility of DC power supply for AC electrical equipment according to claim 4, characterized in that: The specific analysis method of the current waveform performance evaluation coefficient is as follows: Acquire the current wave signal during the power supply switching test of the AC electrical equipment, and convert the current wave signal into a time-frequency domain signal; Extracting time-frequency features, wherein the time-frequency features include frequency components, energy distribution, and spectrum bandwidth; and analyzing spectrum features based on the time-frequency features; The current waveform performance evaluation coefficient is calculated by combining time-frequency characteristics and spectrum characteristics.

6. The method for detecting the feasibility of DC power supply for AC electrical equipment according to claim 5, characterized in that: The method for obtaining the power quality performance evaluation coefficient is as follows: Collect voltage data and current data during the test, and perform pre-processing of denoising and calibration on the voltage data and current data; Establishing state equations and state vector groups based on processed voltage data and current data; The measurement noise is introduced based on the state equation, the state vector is updated, and the power quality performance evaluation coefficient is calculated according to the updated state vector.

7. The method for detecting the feasibility of DC power supply for AC electrical equipment according to claim 6, characterized in that: The method for obtaining the component tolerance assessment coefficient is as follows: Collecting first test data of components of the AC electrical equipment in different states, the first test data including tolerance labels and related feature impact data, the tolerance labels including normal and damaged, and the related feature impact data being various types of changes that occur in the components; Extract and process the collected first test data to obtain a feature vector and a corresponding label vector; Based on logistic regression combined with the feature vector and the corresponding label vector, component tolerance assessment is performed to generate a unit component tolerance assessment coefficient, and all single tolerance assessment coefficients of the first test data are integrated to calculate the component tolerance assessment coefficient.

8. A device for detecting the feasibility of DC power supply for AC electrical equipment, characterized in that: include: DC power supply module: performs power supply switching test on AC electrical equipment, obtains current waveform data and power quality data to determine performance values, monitors component tolerance data in real time, and determines equipment abnormality types; Comparison module: compares the performance value with the preset performance standard value to obtain the performance comparison result; compares the equipment abnormality type with the equipment abnormality table to obtain the abnormality comparison result; Feasibility evaluation module: classifies the feasibility of DC power supply of equipment according to the performance comparison results and the abnormality comparison results. The DC power supply feasibility classification includes feasible class, infeasible class, and feasible class after optimization; Optimization module: simulates the optimized feasible equipment and optimizes the AC to DC conversion solution; Use the optimized AC-DC solution to perform power switching tests on the equipment, establish an optimization effect evaluation model, and generate an optimization effect evaluation value; The current waveform data includes a current waveform performance evaluation coefficient, the power quality data includes a power quality performance evaluation coefficient; the component tolerance data includes a component tolerance evaluation coefficient; The calculation formula of the optimization effect evaluation value is as follows: In the formula, To optimize the effect evaluation value, is the preset proportionality factor of the component tolerance assessment coefficient, is the preset proportionality factor of the power quality performance evaluation coefficient, is the preset proportionality factor of the current waveform performance evaluation coefficient, is the component tolerance assessment coefficient, is the power quality performance evaluation coefficient, is the current waveform performance evaluation coefficient; Optimization test module: Use the optimized AC-DC conversion solution to perform power supply switching test on the equipment, establish an optimization effect evaluation model, and generate an optimization effect evaluation value; Second evaluation module: Classify the optimization effects according to the optimization effect evaluation value, and then judge the feasibility of DC power supply for the feasible equipment after optimization.

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