Intelligent voltage regulating system of emergency direct-current power supply

Abstract

The invention relates to the technical field of electrical variable measurement, in particular to an intelligent voltage regulating system of an emergency direct-current power supply, which comprises a voltage data acquisition module used for collecting voltage monitoring data through a sliding time window method, calculating an average value and a standard deviation of each time window, generating voltage fluctuation data, and outputting the voltage fluctuation data; and judging the power supply stability based on the voltage fluctuation data, and generating a stability initial evaluation result. According to the invention, continuous acquisition and dynamic analysis are carried out on the voltage monitoring data by implementing the sliding time window method, and finer voltage fluctuation evaluation can be provided. And the capability of an early warning mechanism is enhanced, so that potential risks can be predicted and identified before actual occurrence of voltage abnormity, and measures can be taken in advance. And through refined voltage stability evaluation, abnormal voltage points can be accurately identified, in-depth analysis of back unstable factors is promoted, and then voltage regulation response is allowed to be optimized by accurately adjusting PID (Proportion Integration Differentiation) control parameters.

Description

Technical Field

[0001] The invention relates to the technical field of measuring electric variables, and in particular to an intelligent voltage regulating system for an emergency direct current power supply. Background Art

[0002] The voltage regulation system can automatically adjust the output voltage to adapt to different load requirements and operating conditions. It mainly provides a stable DC power supply to cope with sudden voltage fluctuations or power outages in the power system, ensuring that key equipment and systems can continue to operate in unstable power or emergency situations.

[0003] However, existing technologies have obvious shortcomings in real-time voltage adjustment and predicting voltage change trends. Traditional voltage regulation systems only begin to respond after voltage fluctuations have significantly affected the load, lacking dynamic and predictive voltage regulation capabilities. This slow response often results in critical equipment not being adequately protected when the power supply is unstable, increasing the risk of operational interruptions. For example, in the medical and data service fields, short-term voltage instability may cause serious equipment dysfunction or data loss. In addition, the need to manually adjust PID parameters makes the system inflexible, high maintenance costs, low efficiency, and difficult to adapt to rapidly changing power demand scenarios. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings in the prior art and to propose an intelligent voltage regulation system for an emergency DC power supply.

[0005] In order to achieve the above object, the present invention adopts the following technical solution: an intelligent voltage regulation system for emergency DC power supply comprises: A voltage data acquisition module is used to collect voltage monitoring data through a sliding time window method, calculate the average value and standard deviation of each time window, generate voltage fluctuation data, judge the power supply stability based on the voltage fluctuation data, and generate a preliminary stability evaluation result; A voltage anomaly detection module, based on the initial stability evaluation result, identifies abnormal points of voltage in the initial stability evaluation result through statistical analysis, generates abnormal voltage indicators, analyzes the abnormal points, determines potential unstable factors, and generates voltage anomaly analysis results; A PID voltage regulation feedback control module, based on the voltage anomaly analysis result, uses a PID controller to adjust the power output so that the voltage output of the power supply returns to a preset stable range and generates a voltage regulation result; A control optimization module optimizes the control parameters of the PID controller based on the voltage regulation results and the collected voltage data, adjusts the control parameters according to each environment and load condition, generates parameter adjustment suggestions, updates the control strategy according to the adjustments in the parameter adjustment suggestions, and generates an optimized control strategy.

[0006] Preferably, the steps of acquiring the voltage fluctuation data are: The voltage monitoring data within a specified time range is collected by using a sliding time window method to obtain a set of voltage readings in each time window; Based on the voltage reading set, an average value of the voltage reading set is calculated and standard deviation , the calculation formula is: ; in, Indicates Voltage readings, Indicates the total number of readings; Based on the average value and the standard deviation, the fluctuation of the power supply is judged to obtain a preliminary evaluation result of the power supply stability.

[0007] Preferably, the steps for obtaining the preliminary stability evaluation results are: Acquire voltage fluctuation characteristics of each time window according to the voltage fluctuation data to obtain a voltage fluctuation characteristic set; Based on the voltage fluctuation feature set, a threshold is set to determine whether the voltage fluctuation amplitude in each time window is within a stable range. Based on the formula, the voltage fluctuation stability is determined. The expression is: ; in, Represents the stability percentage, is the standard deviation, is the average voltage value; According to the voltage fluctuation stability, the stability percentage of each time window is summarized to obtain the initial stability evaluation result.

[0008] Preferably, the steps of obtaining the abnormal voltage indicator are: According to the preliminary stability evaluation results, statistical analysis is performed on the voltage fluctuation characteristic data of each time window to obtain a stability analysis result set; Based on the stability analysis result set, calculate the weighted normalized outlier value for each data point , the calculation formula is: ; in, is the weighted standardized outlier, is the current voltage value, is the weighted average of the voltage values ​​in each time window, is the weighted standard deviation of the voltage value in each time window, is the total number of voltage readings within the time window, is the weight parameter of voltage change on detection sensitivity, is the mean smoothing coefficient; According to the weighted normalized abnormal value, the voltage fluctuation point exceeding the set threshold is marked as an abnormal point to obtain an abnormal voltage index.

[0009] Preferably, the steps of obtaining the voltage anomaly analysis result are: According to the abnormal voltage index, data screening is performed on the identified abnormal voltage points, and the voltage reading and time characteristics corresponding to each abnormal point are extracted to obtain an abnormal voltage feature set; Based on the abnormal voltage feature set, calculate the abnormal degree of each abnormal point , the calculation formula is: ; in, For abnormal degree, is the current abnormal voltage value, is the voltage value at the previous time point, is the voltage value at the next time point, is the standard deviation of the normal voltage value, is the abnormal intensity adjustment factor; According to the abnormal degree of each abnormal point, the potential unstable factors are analyzed and identified to obtain the voltage abnormality analysis results.

[0010] Preferably, the steps of obtaining the voltage regulation result are: Receiving the voltage anomaly analysis result, analyzing the set of the voltage anomaly analysis results, extracting the voltage value and time characteristics for each abnormal point, and obtaining a voltage target set that needs to be adjusted; According to the voltage abnormality value in the voltage target set, the output voltage is adjusted, a PID control parameter is obtained, the power supply output is modified, and an adjusted power supply output is obtained; By observing the adjusted power supply output, check whether the voltage is stably maintained within the predetermined range, record and analyze the output results of each time window, and obtain the voltage regulation result.

[0011] Preferably, the steps for obtaining the parameter adjustment suggestion are: According to the voltage regulation result, the deviation between the voltage value after each voltage regulation and the preset value and the corresponding PID control parameters are obtained to obtain a voltage regulation performance data set; Analyze the voltage regulation performance data set, perform performance evaluation on PID control parameters, and obtain performance evaluation results; Based on the performance evaluation results, the configuration of PID control parameters is optimized, and a PID control parameter adjustment strategy is formulated for each environment and load condition to obtain parameter adjustment suggestions.

[0012] Preferably, the steps for obtaining the optimized control strategy are: Analyze the parameter adjustment suggestions, determine the performance of each parameter in the PID control parameters under each voltage fluctuation condition through simulation tests, and obtain a preliminary control strategy configuration; Apply the preliminary control strategy configuration, perform real-time monitoring, record voltage stability and response speed before and after parameter adjustment, collect feedback data, and obtain a set of actual operation data; Based on the actual operation data set, judge the effectiveness of each control parameter, identify areas that need improvement, refine the control strategy, and generate an optimized control strategy.

[0013] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by implementing the sliding time window method to continuously collect and dynamically analyze the voltage monitoring data, a more sophisticated voltage fluctuation assessment can be provided. The ability of the early warning mechanism is enhanced, so that it can predict and identify potential risks before the voltage anomaly actually occurs, so as to take measures in advance. Through the refined voltage stability assessment, the abnormal voltage point can be accurately identified, which promotes the in-depth analysis of the unstable factors behind it, and then allows the voltage regulation response to be optimized by accurately adjusting the PID control parameters. This series of measures makes the output of the entire power supply system more stable, effectively reduces energy waste, and improves reliability and safety, especially when facing complex or extreme operating conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] See also Figure 1 The present invention provides a technical solution: an intelligent voltage regulation system for an emergency DC power supply comprises: A voltage data acquisition module is used to collect voltage monitoring data through a sliding time window method, calculate the average value and standard deviation of each time window, generate voltage fluctuation data, judge the power supply stability based on the voltage fluctuation data, and generate a preliminary stability evaluation result; A voltage anomaly detection module, based on the initial stability evaluation result, identifies abnormal points of voltage in the initial stability evaluation result through statistical analysis, generates abnormal voltage indicators, analyzes the abnormal points, determines potential unstable factors, and generates voltage anomaly analysis results; A PID voltage regulation feedback control module, based on the voltage anomaly analysis result, uses a PID controller to adjust the power output so that the voltage output of the power supply returns to a preset stable range and generates a voltage regulation result; A control optimization module optimizes the control parameters of the PID controller based on the voltage regulation results and the collected voltage data, adjusts the control parameters according to each environment and load condition, generates parameter adjustment suggestions, updates the control strategy according to the adjustments in the parameter adjustment suggestions, and generates an optimized control strategy.

[0017] The steps for obtaining the voltage fluctuation data are as follows: The voltage monitoring data within a specified time range is collected by using a sliding time window method to obtain a set of voltage readings in each time window; Based on the voltage reading set, an average value of the voltage reading set is calculated and standard deviation , the calculation formula is: ; in, Indicates Voltage readings, Indicates the total number of readings; Based on the average value and the standard deviation, the fluctuation of the power supply is judged to obtain a preliminary evaluation result of the power supply stability.

[0018] Specifically, the voltage monitoring data within the specified time range is collected through the sliding time window method to obtain a set of voltage readings in each time window. This process relies on the high precision and time response characteristics of the voltage data acquisition module. The voltage reading set provides the necessary raw data for the subsequent calculation of the mean and standard deviation. Each data point in the set is obtained by continuous monitoring by the voltage sensor within the set time window, ensuring the continuity and accuracy of the data. This data collection process provides a basis for voltage fluctuation analysis.

[0019] formula , The benefit of this is that it can accurately describe the center position and dispersion of voltage data, which is the core indicator for evaluating power supply stability.

[0020] Calculation process: Consider a set of voltage readings {V1, V2, …, Vn}, where each Vi is a voltage reading within a specific time window. Let n be the total number of readings, first calculate the average value μ as the arithmetic mean of each reading, then take μ as the reference, calculate the sum of the squares of the deviations of each reading from μ, further sum them up and divide by n, and finally square the result to get the standard deviation σ.

[0021] There is a set of readings {110, 115, 120, 125, 130}, n=5, then μ=120, and the steps to calculate σ are as follows: The squares of the deviations of each reading are 100, 25, 0, 25, and 100, respectively, the sum of the squared deviations is 250, and σ=7.07.

[0022] This result shows that the voltage fluctuates within a small range, indicating that the power supply has high stability; if σ is large, it means that the voltage fluctuates greatly and the power supply stability is poor.

[0023] Based on the mean value and standard deviation, the fluctuation of the power supply is judged to obtain the preliminary evaluation result of the stability of the power supply. The key to this step is to use statistical data (mean value and standard deviation) as indicators to measure the stability of the power supply. The mean value reflects the central trend of the power supply output voltage, and the standard deviation provides a measure of the power supply voltage fluctuation. The two work together to quantitatively evaluate the performance of the power supply within a given time. The preliminary evaluation result is based on threshold judgment. For example, if the standard deviation exceeds the predetermined threshold, it can be preliminarily judged that the power supply status may be unstable and requires further inspection or adjustment.

[0024] The steps for obtaining the preliminary stability evaluation results are as follows: Acquire voltage fluctuation characteristics of each time window according to the voltage fluctuation data to obtain a voltage fluctuation characteristic set; Based on the voltage fluctuation feature set, a threshold is set to determine whether the voltage fluctuation amplitude in each time window is within a stable range. Based on the formula, the voltage fluctuation stability is determined. The expression is: ; in, Represents the stability percentage, is the standard deviation, is the average voltage value; According to the voltage fluctuation stability, the stability percentage of each time window is summarized to obtain the initial stability evaluation result.

[0025] Specifically, the voltage fluctuation characteristics of each time window are obtained according to the voltage fluctuation data, and the voltage fluctuation characteristics are calculated according to the set sliding window period and the changing trend of the voltage value. The specific process includes statistically processing the set of voltage values ​​in each time window, judging the characteristic range of the voltage fluctuation by the difference between the average value and the maximum value and the minimum value, generating the fluctuation amplitude data of each time window, and classifying the fluctuation amplitude data into three levels of "high", "medium" and "low", which respectively indicate the situations where the voltage fluctuation is significant, slight and stable, so as to obtain the voltage fluctuation characteristics of each time window and form a voltage fluctuation feature set.

[0026] formula The calculation process: Select a time window of 10 seconds in the voltage fluctuation feature set and collect voltage readings They are [220,221,223,219,222,218,224,220,221,223] respectively; Calculate the average ; Calculating the standard deviation =1.94; Substituting this into the formula, we get the stability percentage: ; The result shows that the voltage fluctuation amplitude is in a lower range relative to the average voltage level, reflecting that the current voltage fluctuation stability is good.

[0027] According to the voltage fluctuation stability, the stability percentage values ​​of each time window are summarized, and the stability percentages of each time window are statistically processed, combined with the set stability judgment criteria, for example, a threshold is set, and time windows above the threshold are marked as "stable", and those below the threshold are marked as "unstable". By summarizing the marking status of all time windows, an overall power supply stability evaluation result is generated, and finally a preliminary stability evaluation result is obtained.

[0028] The steps for obtaining the abnormal voltage indicator are: According to the preliminary stability evaluation results, statistical analysis is performed on the voltage fluctuation characteristic data of each time window to obtain a stability analysis result set; Based on the stability analysis result set, calculate the weighted normalized outlier value for each data point , the calculation formula is: ; Calculate the weighted normalized outlier value for each data point ;in, is the weighted standardized outlier, is the current voltage value, is the weighted average of the voltage values ​​in each time window, is the weighted standard deviation of the voltage value in each time window, is the total number of voltage readings within the time window, is the weight parameter of voltage change on detection sensitivity, which is used to adjust the impact of voltage change. is the mean value smoothing coefficient, which is used to control the fluctuation smoothness of the mean value and suppress the interference of abnormal values ​​on the results; According to the weighted normalized abnormal value, the voltage fluctuation point exceeding the set threshold is marked as an abnormal point to obtain an abnormal voltage index.

[0029] Specifically, according to the initial stability assessment results, by performing statistical analysis operations on the voltage fluctuation characteristic data in each time window, the voltage data set in each time window is first cleaned and normalized to remove noise and outliers, and then the basic statistical characteristics of each time window are calculated in the cleaned data set, including the maximum value, minimum value, mean and median, and the calculation results of all time windows are summarized as a stability analysis result set.

[0030] The benefit of the weighted normalized outlier calculation formula is that by introducing the weight parameter and The weighted processing of voltage changes and mean smoothing makes the detection of abnormal points more flexible and accurate, while suppressing the impact of small fluctuations on the overall results.

[0031] Calculation process: Indicates the current voltage value. is the weighted average of the voltage values ​​in each window, which is obtained by weighting the voltage data of each window and dividing it by the weighted sum. is the weighted standard deviation of the voltage value in each window, which is calculated by dividing the weighted square sum under the square root by the weight sum minus the square of the mean value. is the total number of voltage readings in the time window, calculated from the sampling frequency and the window length, is a sensitivity weight parameter used to amplify or reduce the impact of voltage fluctuations on anomaly detection. is the smoothing coefficient, which is used to suppress the interference of instantaneous anomalies on the smooth average, which is achieved by adjusting the smoothing term in the calculation formula.

[0032] Bring in the example: Get , , , , , ; Calculation process: 1. Calculate the molecular part: ; 2. Calculate the square term in the denominator: ; 3. Calculate the square root of the denominator: , then take the square root of ; 4. Calculate the denominator as a whole: ; 5. Calculate weighted normalized outliers: ; This result shows that when When the preset abnormality detection threshold is exceeded, the current voltage value is regarded as an abnormal voltage point, and this result value is used to further judge and mark the occurrence of abnormal points.

[0033] According to the numerical results of weighted normalized outliers, threshold comparison is performed on the voltage fluctuation points in each time window. During the comparison process, a specific anomaly detection threshold is set, for example, The threshold range is determined and compared with each calculation result one by one to identify the fluctuation points exceeding the threshold, mark these voltage fluctuation points beyond the range as abnormal, and then integrate the specific positions and values ​​of all abnormal points to generate abnormal voltage indicators for the final abnormal voltage indicator output.

[0034] The steps for obtaining the voltage anomaly analysis result are as follows: According to the abnormal voltage index, data screening is performed on the identified abnormal voltage points, and the voltage reading and time characteristics corresponding to each abnormal point are extracted to obtain an abnormal voltage feature set; Based on the abnormal voltage feature set, calculate the abnormal degree of each abnormal point , the calculation formula is: ; Calculate the degree of abnormality of each abnormal point ,in, For abnormal degree, is the current abnormal voltage value, is the voltage value at the previous time point, is the voltage value at the next time point, is the standard deviation of the normal voltage value, is the anomaly intensity adjustment coefficient, which is used to balance the impact of the voltage fluctuations before and after in anomaly analysis; According to the abnormal degree of each abnormal point, the potential unstable factors are analyzed and identified to obtain the voltage abnormality analysis results.

[0035] Specifically, according to the abnormal voltage index, the voltage value is continuously monitored through the data acquisition module, and combined with the timestamp information record, each data acquisition is accurate to the millisecond level to ensure the accuracy of the data and the integrity of the time characteristics, and the abnormal points whose voltage exceeds the preset threshold are screened out. These data points are marked as abnormal because the voltage fluctuation is greater than the normal fluctuation range. During the data screening process, the voltage difference between consecutive data points is compared to ensure that each marked abnormal point is identified based on significant real-time voltage changes. This process includes continuous monitoring of voltage readings and dynamic marking of abnormal points to obtain a set of abnormal voltage characteristics.

[0036] formula The benefit of this method is that by calculating the difference between the previous and next voltage values ​​and the current value, the abnormal degree of voltage fluctuation is evaluated. The weighting factor k is adjusted according to the distribution characteristics of historical data to reflect the actual impact of voltage stability on system performance. This method makes voltage anomaly detection more sensitive and can accurately identify voltage mutations. Calculation process: At a certain measuring point, the current voltage is 110V, the voltage at the previous time point is 100V, and the voltage at the next time point For 120V, standard deviation For 15V, the weight factor According to the influence degree of abnormal voltage fluctuation is set to 0.8, the calculation is as follows: ; The result shows that the abnormality level of this voltage point is 1.067, which may indicate a slight voltage fluctuation abnormality in the predetermined evaluation criteria and requires further monitoring.

[0037] According to the abnormality level of each abnormal point, the abnormality levels of all abnormal points are summarized through the voltage management system, and the voltage abnormality levels in each time window are analyzed to identify potential unstable factors, such as areas with frequent voltage fluctuations or excessive amplitudes. Causes are checked, including equipment failure, external power grid influence, or failure of the internal control system, to obtain voltage abnormality analysis results.

[0038] The steps for obtaining the voltage regulation result are: Receiving the voltage anomaly analysis result, analyzing the set of the voltage anomaly analysis results, extracting the voltage value and time characteristics for each abnormal point, and obtaining a voltage target set that needs to be adjusted; According to the voltage abnormality value in the voltage target set, the output voltage is adjusted, the PID control parameters are obtained, and the power supply output is gradually modified so that the voltage of each abnormal point returns to a preset stable range to obtain the adjusted power supply output; By observing the adjusted power supply output, check whether the voltage is stably maintained within the predetermined range, record and analyze the output results of each time window, and obtain the voltage regulation result.

[0039] Specifically, the voltage anomaly analysis result is received, and the set of the voltage anomaly analysis results is analyzed. According to the set of analysis results, the voltage value and occurrence time of each abnormal point are identified, so as to capture the voltage abnormal points that need to be processed first. The voltage value and time characteristics of each abnormal point are extracted and summarized into a target set. This target set clearly indicates the specific location and abnormal degree of each abnormal point. Such a set provides necessary input data for subsequent adjustment operations, and obtains the voltage target set that needs to be adjusted; According to the voltage abnormality value in the voltage target set, the output voltage is adjusted, each abnormal voltage point is adjusted one by one, and the corresponding control parameters are calculated using the PID voltage regulation feedback control module. These parameters are dynamically adjusted according to the voltage difference and time characteristics to ensure that each adjustment accurately corresponds to the specific abnormal point. In the process of gradually modifying the power output, the voltage change is continuously monitored, and the control parameters are adjusted in real time to adapt to the continuous change of voltage fluctuations, so that the voltage of each abnormal point returns to the preset stable range, and the adjusted power output is obtained; By observing the output of the adjusted power supply, checking whether the voltage is stably maintained within the predetermined range, collecting the voltage data of each time window after adjustment, continuously monitoring and recording the data, analyzing whether the voltage in each time window meets the stability requirements, and continuously tracking the voltage changes through the voltage data acquisition module, evaluating the voltage regulation effect, and recording and analyzing the output results of each time window. Through these detailed data records and analyses, the effectiveness of the voltage regulation measures can be comprehensively evaluated and the voltage regulation results can be obtained.

[0040] The steps for obtaining the parameter adjustment suggestion are as follows: According to the voltage regulation result, the deviation between the voltage value after each voltage regulation and the preset value and the corresponding PID control parameters are obtained to obtain a voltage regulation performance data set; Analyze the voltage regulation performance data set, identify which PID control parameter configurations affect the voltage regulation effect, and which PID control parameters fail to return the voltage to a stable range, perform performance evaluation on the PID control parameters, and obtain performance evaluation results; Based on the performance evaluation results, the configuration of PID control parameters is optimized, and a PID control parameter adjustment strategy is formulated for each environment and load condition to obtain parameter adjustment suggestions; According to the voltage regulation result, the deviation between the actual voltage value and the preset value after each voltage regulation and the corresponding PID control parameters are obtained. The data recorded by the voltage regulation module include the measured values ​​before and after the voltage adjustment and the deviation from the preset value. At the same time, the PID control parameters at the corresponding time points are collected. These data are automatically recorded and timestamped by the data acquisition system to ensure the integrity and traceability of the data. The voltage regulation module transmits these data to the central monitoring system, which summarizes the data to generate a voltage regulation performance data set. The data set includes detailed voltage adjustment records and the PID parameter settings corresponding to each adjustment, which provides basic data for subsequent analysis and optimization, and obtains a voltage regulation performance data set.

[0041] Analyze the voltage regulation performance data set, perform statistical analysis on the voltage deviation and PID parameters in the voltage regulation performance data set through data analysis software, identify which PID control parameter configurations effectively reduce the deviation in actual operation and which fail to return the voltage to a predetermined stable range, and use statistical methods such as regression analysis and variance analysis to evaluate the influence of each parameter. This step involves calculating the voltage regression effect under each set of parameter configurations, comparing the deviation size and frequency under different parameter configurations, and thus determining the key PID parameters that affect the voltage regulation effect. In this process, a variety of data processing and analysis techniques are used to ensure the accuracy and reliability of the analysis and obtain performance evaluation results.

[0042] Based on the performance evaluation results, the configuration of PID control parameters is optimized. According to the performance evaluation results, a targeted PID parameter adjustment strategy is formulated, which includes the adjustment of proportional, integral, and differential parameters, and setting different control parameters for different environments and load conditions. This strategy is formulated based on historical data and simulation test results. By simulating different operating environments and testing the impact of various load changes on system stability, the PID parameters are optimized in order to achieve better voltage regulation effects in actual applications, including detailed adjustments to the control parameters and improvement of real-time adjustment capabilities, and obtaining parameter adjustment suggestions.

[0043] The steps for obtaining the optimized control strategy are: Analyze the parameter adjustment suggestions, including PID control parameters and past voltage regulation effect data, determine the performance of each parameter in the PID control parameters under each voltage fluctuation condition through simulation tests, and obtain a preliminary control strategy configuration; Apply the preliminary control strategy configuration, perform real-time monitoring, record voltage stability and response speed before and after parameter adjustment, collect feedback data, and obtain a set of actual operation data; Based on the actual operation data set, judge the effectiveness of each control parameter, identify areas that need improvement, refine the control strategy, and generate an optimized control strategy.

[0044] Specifically, a detailed analysis was conducted on the parameter adjustment suggestions, including the latest PID control parameters and previous voltage regulation effect data. The performance of each PID control parameter was tested by setting different voltage fluctuation simulation test scenarios. In order to accurately evaluate the parameter performance, three test conditions of slight, medium and high voltage fluctuations were set. The response time and voltage stability of parameter adjustment were recorded under each condition. The test results showed that some parameters needed to be adjusted under high fluctuation conditions, so as to obtain a preliminary control strategy configuration. This configuration provided a theoretical basis and parameter setting reference for actual voltage regulation.

[0045] The preliminary control strategy configuration was implemented and the system was monitored in real time. The voltage stability and response speed before and after the adjustment were recorded through the voltage sensor. At the same time, the collected feedback data was processed and the impact of parameter adjustment on voltage stability was analyzed. A detailed set of actual operation data was generated. These data sets provided an empirical basis for further parameter optimization and strategy adjustment.

[0046] Based on the actual operation data set, the effectiveness of each PID control parameter is comprehensively judged. Through comparative analysis, it is determined which parameters perform well and which parameters need further adjustment, especially the performance under extreme voltage fluctuation conditions. According to the data, the control strategy is refined and optimized, and a more sophisticated PID parameter configuration is established. This optimized control strategy aims to improve the overall voltage regulation performance and response efficiency of the system, and ultimately generates an optimized control strategy suitable for various operating conditions.

Claims

1. An intelligent voltage regulation system for emergency DC power supply, characterized in that: The system comprises: A voltage data acquisition module is used to collect voltage monitoring data through a sliding time window method, calculate the average value and standard deviation of each time window, generate voltage fluctuation data, judge the power supply stability based on the voltage fluctuation data, and generate a preliminary stability evaluation result; A voltage anomaly detection module, based on the initial stability evaluation result, identifies abnormal points of voltage in the initial stability evaluation result through statistical analysis, generates abnormal voltage indicators, analyzes the abnormal points, determines potential unstable factors, and generates voltage anomaly analysis results; A PID voltage regulation feedback control module, based on the voltage anomaly analysis result, uses a PID controller to adjust the power output so that the voltage output of the power supply returns to a preset stable range and generates a voltage regulation result; A control optimization module optimizes the control parameters of the PID controller based on the voltage regulation results and the collected voltage data, adjusts the control parameters according to each environment and load condition, generates parameter adjustment suggestions, updates the control strategy according to the adjustments in the parameter adjustment suggestions, and generates an optimized control strategy.

2. The intelligent voltage regulation system for emergency DC power supply according to claim 1 is characterized in that: The steps for obtaining the voltage fluctuation data are as follows: The voltage monitoring data within a specified time range is collected by using a sliding time window method to obtain a set of voltage readings in each time window; Based on the voltage reading set, an average value of the voltage reading set is calculated and standard deviation , the calculation formula is: ； in, Indicates Voltage readings, Indicates the total number of readings; Based on the average value and the standard deviation, the fluctuation of the power supply is judged to obtain a preliminary evaluation result of the power supply stability.

3. The intelligent voltage regulation system for emergency DC power supply according to claim 1 is characterized in that: The steps for obtaining the preliminary stability evaluation results are as follows: Acquire voltage fluctuation characteristics of each time window according to the voltage fluctuation data to obtain a voltage fluctuation characteristic set; Based on the voltage fluctuation feature set, a threshold is set to determine whether the voltage fluctuation amplitude in each time window is within a stable range. Based on the formula, the voltage fluctuation stability is determined. The expression is: ； in, Represents the stability percentage, is the standard deviation, is the average voltage value; According to the voltage fluctuation stability, the stability percentage of each time window is summarized to obtain the initial stability evaluation result.

4. The intelligent voltage regulation system for emergency DC power supply according to claim 1 is characterized in that: The steps for obtaining the abnormal voltage indicator are: According to the preliminary stability evaluation results, statistical analysis is performed on the voltage fluctuation characteristic data of each time window to obtain a stability analysis result set; Based on the stability analysis result set, calculate the weighted normalized outlier value for each data point , the calculation formula is: ； in, is the weighted standardized outlier, is the current voltage value, is the weighted average of the voltage values ​​in each time window, is the weighted standard deviation of the voltage value in each time window, is the total number of voltage readings within the time window, is the weight parameter of voltage change on detection sensitivity, is the mean smoothing coefficient; According to the weighted normalized abnormal value, the voltage fluctuation point exceeding the set threshold is marked as an abnormal point to obtain an abnormal voltage index.

5. The intelligent voltage regulation system for emergency DC power supply according to claim 1 is characterized in that: The steps for obtaining the voltage anomaly analysis result are as follows: According to the abnormal voltage index, data screening is performed on the identified abnormal voltage points, and the voltage reading and time characteristics corresponding to each abnormal point are extracted to obtain an abnormal voltage feature set; Based on the abnormal voltage feature set, calculate the abnormal degree of each abnormal point , the calculation formula is: ； in, For abnormal degree, is the current abnormal voltage value, is the voltage value at the previous time point, is the voltage value at the next time point, is the standard deviation of the normal voltage value, is the abnormal intensity adjustment factor; According to the abnormal degree of each abnormal point, the potential unstable factors are analyzed and identified to obtain the voltage abnormality analysis results.

6. The intelligent voltage regulation system for emergency DC power supply according to claim 1, characterized in that: The steps for obtaining the voltage regulation result are: Receiving the voltage anomaly analysis result, analyzing the set of the voltage anomaly analysis results, extracting the voltage value and time characteristics for each abnormal point, and obtaining a voltage target set that needs to be adjusted; According to the voltage abnormality value in the voltage target set, the output voltage is adjusted, a PID control parameter is obtained, the power supply output is modified, and an adjusted power supply output is obtained; By observing the adjusted power supply output, check whether the voltage is stably maintained within the predetermined range, record and analyze the output results of each time window, and obtain the voltage regulation result.

7. The intelligent voltage regulation system for emergency DC power supply according to claim 1 is characterized in that: The steps for obtaining the parameter adjustment suggestions are as follows: According to the voltage regulation result, the deviation between the voltage value after each voltage regulation and the preset value and the corresponding PID control parameters are obtained to obtain a voltage regulation performance data set; Analyze the voltage regulation performance data set, perform performance evaluation on PID control parameters, and obtain performance evaluation results; Based on the performance evaluation results, the configuration of PID control parameters is optimized, and a PID control parameter adjustment strategy is formulated for each environment and load condition to obtain parameter adjustment suggestions.

8. The intelligent voltage regulation system for emergency DC power supply according to claim 1, characterized in that: The steps for obtaining the optimized control strategy are: Analyze the parameter adjustment suggestions, determine the performance of each parameter in the PID control parameters under each voltage fluctuation condition through simulation tests, and obtain a preliminary control strategy configuration; Apply the preliminary control strategy configuration, perform real-time monitoring, record voltage stability and response speed before and after parameter adjustment, collect feedback data, and obtain a set of actual operation data; Based on the actual operation data set, judge the effectiveness of each control parameter, identify areas that need improvement, refine the control strategy, and generate an optimized control strategy.

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