System and method for automatically adjusting power factor of low-voltage equipment based on tail end compensation

Abstract

The invention relates to the technical field of electric power engineering automation, in particular to a low-voltage equipment power factor automatic adjusting system and method based on end compensation, and the system comprises a load monitoring module, a compensation strategy generation module, an end compensation execution module, a dynamic balance correction module and an effect evaluation module. According to the invention, the sequential relationship between the load fluctuation and the compensation demand can be accurately identified by continuously monitoring the current waveform, the voltage waveform and the phase difference change trend of the low-voltage equipment, and the compensation strategy is dynamically formulated in combination with the response duration and the compensation demand matching rule, so that the compensation response agility and the matching property of the fluctuating load are improved; dynamic scheduling is carried out according to the capacitor switching capacity and the combination relation in compensation execution, switching weight configuration is analyzed and optimized through the power factor change rate before and after compensation and the load synchronization characteristic, the dynamic balance of the compensation process is enhanced, the power factor stability and the load fluctuation matching capacity after compensation are effectively improved, and the compensation efficiency is improved. And the adaptability and continuity of the adjusting effect are enhanced.

Description

Technical Field

[0001] This invention relates to the field of power engineering automation technology, and in particular to an automatic power factor adjustment system and method for low-voltage equipment based on end-point compensation. Background Technology

[0002] The field of power engineering automation technology mainly involves the monitoring, dispatching, control, and automated management of power systems, aiming to improve the efficiency, reliability, and security of power systems. This field includes equipment automation, load regulation, fault detection and repair, energy optimization, and intelligent management of power distribution networks. Power automation systems often involve low-voltage distribution systems, smart grids, automated switchgear, smart meters, and sensors, covering all aspects from equipment operation monitoring to energy use optimization. With the increasing scale and complexity of power systems, automation technology plays a crucial role in improving grid operating efficiency, ensuring power supply stability, and reducing the workload of operators.

[0003] Traditional low-voltage equipment power factor automatic adjustment systems refer to automatic adjustment devices used to improve the power factor of low-voltage equipment. These systems primarily improve the power factor by monitoring and regulating load current and voltage, automatically adjusting capacitors or compensation equipment. Traditional low-voltage equipment power factor adjustment systems employ fixed or segmented compensation methods, automatically starting and stopping the compensation equipment when the load changes to ensure the power factor remains within the ideal range. The adjustment methods of traditional systems are relatively simple, relying on preset adjustment schemes and controlling the start and stop of the equipment through timing or load changes to achieve power factor improvement.

[0004] Existing power factor regulation systems rely on fixed or segmented compensation methods during operation, controlling the start and stop of compensation equipment solely based on the magnitude characteristics of load changes. This lacks detailed analysis of the load current waveform and phase difference trends, making it impossible to accurately identify the fluctuation period and compensation timing when facing stress-induced fluctuating loads. Consequently, compensation operations suffer from time lag and incoordination. In scenarios with frequent load changes or untimely compensation responses, the power factor is prone to repeated fluctuations in the short term, affecting the stability and energy efficiency of system operation. In some cases of drastic load changes, it can even lead to over- or under-compensation, impacting the reliability and regulation efficiency of the power system. Summary of the Invention

[0005] To address the technical problems existing in the prior art, embodiments of the present invention provide an automatic power factor adjustment system and method for low-voltage equipment based on end-point compensation. The technical solution is as follows:

[0006] On the one hand, an automatic power factor adjustment system for low-voltage equipment based on end-point compensation is provided, which includes:

[0007] The load monitoring module acquires the operating status information of low-voltage equipment, monitors the load current waveform, voltage waveform, and phase difference change trend, records the impact of load fluctuations on the power factor, analyzes the timing relationship between load fluctuations and compensation requirements, summarizes power factor change data, and generates load characteristic compensation trigger quantities.

[0008] The compensation strategy generation module extracts the relationship between load fluctuation cycle and compensation response time based on the load characteristic compensation trigger amount, formulates a multi-level progressive compensation strategy, analyzes the response time and compensation requirements, adjusts the compensation response sequence, and obtains the compensation strategy execution instruction.

[0009] The end-of-line compensation execution module executes instructions according to the compensation strategy, calls the end-of-line compensation device location distribution information, analyzes the capacitor switching capability and the switching combination of compensation points, schedules the compensation device to perform switching operations, and generates a compensation execution sequence.

[0010] The dynamic balance correction module calls the compensation execution sequence, analyzes the synchronicity of the power factor change rate and load fluctuation before and after compensation, adjusts the switching weight of the compensation point, optimizes the dynamic balance of the compensation process, and obtains the balance index of the compensation process.

[0011] As a further aspect of the present invention, the load characteristic compensation trigger quantity includes the degree of influence of load fluctuation on power factor, the timing relationship between load fluctuation and compensation demand, and a summary of power factor change data. The compensation strategy execution instruction includes the relationship between load fluctuation period and compensation response time, progressive compensation strategy, response time analysis and compensation demand, and compensation response timing adjustment. The compensation execution sequence includes the switching capability of compensation device and the switching combination of compensation points, the switching operation performed by compensation device, the order of compensation execution and scheduling strategy. The compensation process balance index includes the power factor change rate, load fluctuation synchronization analysis results, compensation point switching weight adjustment, and compensation process dynamic balance optimization.

[0012] As a further aspect of the present invention, the load monitoring module includes:

[0013] The waveform acquisition submodule acquires the operating status information of low-voltage equipment, extracts load current and voltage waveform data, analyzes the degree of waveform distortion and the trend of phase difference change, and generates a load fluctuation characteristic sequence.

[0014] The phase difference analysis submodule extracts the rate of change of the phase difference between the load current and voltage based on the load fluctuation characteristic sequence, identifies the abrupt change nodes of the phase difference, matches the load fluctuation time points, analyzes the consistency of the phase difference change direction, and generates the load fluctuation impact degree.

[0015] The compensation trigger calculation submodule extracts the load fluctuation period and power factor deviation range based on the load fluctuation impact degree, sets the compensation trigger threshold, and generates the load characteristic compensation trigger amount.

[0016] As a further aspect of the present invention, the compensation strategy generation module includes:

[0017] The fluctuation period extraction submodule extracts the relationship between the load fluctuation period and the compensation response time based on the load characteristic compensation trigger amount, analyzes the power factor change trend within the fluctuation period, and generates a compensation time window.

[0018] The priority determination submodule extracts the load fluctuation intensity and power factor deviation range from the reference value based on the compensation time window, determines the compensation priority, and generates the compensation point distribution range.

[0019] The switching strategy planning submodule identifies the switching capability and load fluctuation adaptability of the compensation points based on the distribution range of the compensation points, formulates a multi-level progressive compensation strategy, and generates compensation strategy execution instructions.

[0020] As a further aspect of the present invention, the end-effector compensation execution module includes:

[0021] The dispatch point distribution submodule executes instructions according to the compensation strategy, extracts the location distribution information and dispatch capability of the end compensation device, analyzes the dispatch combination scheme of the compensation points, and generates the dispatch point activation sequence.

[0022] The switching weight allocation submodule extracts the matching degree between the switching weight and the compensation response time of the compensation point based on the switching point activation sequence, adjusts the switching weight allocation ratio, and generates the compensation execution sequence.

[0023] As a further aspect of the present invention, the dynamic balance correction module includes:

[0024] The rate of change analysis submodule calls the compensation execution sequence to extract the synchronicity between the rate of change of power factor and load fluctuation before and after compensation, analyze the dynamic balance of the compensation process, and generate compensation weight adjustment instructions.

[0025] Based on the compensation weight adjustment instruction, the switching weight optimization submodule extracts the adaptability of the switching weight of the compensation point to the load fluctuation, adjusts the switching weight allocation ratio, optimizes the dynamic balance of the compensation process, and obtains the compensation weight optimization result.

[0026] The balance assessment submodule calls the compensation weight optimization results, extracts the frequency of compensation actions within the differentiated time period, statistically analyzes the changes in the current stable range and abnormal amplitude before and after compensation, calculates the current fluctuation difference value, analyzes the range of compensation amplitude fluctuation per unit time, assesses the symmetry deviation of compensation distribution and the proportion of abnormal time periods, and generates a balance index for the compensation process.

[0027] As a further aspect of the present invention, the current fluctuation difference value is determined by the formula:

[0028]

[0029] Where ΔQ represents the difference in current fluctuation, n represents the total number of monitored sampling periods, and H i I represents the current value before compensation in the i-th sampling period. i Δt represents the current value after compensation during the i-th sampling period. i α represents the duration of the i-th sampling period. i This represents the influence coefficient of external disturbances during the i-th sampling period.

[0030] As a further aspect of the present invention, the system also includes an effect evaluation module:

[0031] The effect evaluation module extracts the stability of the power factor and the adaptability to load fluctuations after compensation based on the balance index of the compensation process, evaluates the compensation effect and stability, analyzes the matching ability and fluctuation of the power factor after compensation, and generates a compensation effect evaluation level.

[0032] The compensation effect evaluation levels include power factor stability, load fluctuation adaptability, compensation effect stability evaluation, power factor matching capability and fluctuation analysis.

[0033] As a further aspect of the present invention, the effect evaluation module includes:

[0034] Based on the balance index of the compensation process, the stability assessment submodule extracts the power factor stability and load fluctuation adaptability after compensation, analyzes the relationship between the power factor stability score and the load fluctuation adaptability level, and generates the compensation effect assessment result.

[0035] The adaptability analysis submodule calls the compensation effect evaluation results, extracts the power factor change trend after compensation and the adaptability to load fluctuations, analyzes the matching degree between the compensation effect and load fluctuations, and generates a load fluctuation adaptability level.

[0036] The balance determination submodule extracts the balance index of the compensation process based on the load fluctuation adaptability level, evaluates the dynamic balance of the compensation process, and generates a compensation effect evaluation level.

[0037] On the other hand, the automatic power factor adjustment method for low-voltage equipment based on end-of-line compensation, which is executed based on the aforementioned automatic power factor adjustment system for low-voltage equipment based on end-of-line compensation, includes the following steps:

[0038] S1: Obtain low-voltage equipment operating status information, including load current waveform, voltage waveform and phase difference change trend, extract load fluctuation feature sequence and load fluctuation influence degree, and generate load characteristic compensation trigger quantity;

[0039] S2: Based on the load characteristic compensation trigger amount, extract the relationship between load fluctuation cycle and compensation response time, formulate a multi-level progressive compensation strategy, determine the compensation priority and compensation point distribution range, and generate compensation strategy execution instructions;

[0040] S3: Based on the compensation strategy execution instruction, call the location distribution information and switching capability of the end compensation device, calculate the switching combination scheme of the compensation point, and generate the compensation execution sequence;

[0041] S4: Based on the compensation execution sequence, analyze the synchronicity between the power factor change rate and load fluctuation before and after compensation, adjust the switching weight of the compensation point, optimize the dynamic balance of the compensation process, and obtain the balance index of the compensation process.

[0042] S5: Based on the balance index of the compensation process, extract the power factor stability and load fluctuation adaptability after compensation, evaluate the compensation effect, and generate a compensation effect evaluation level.

[0043] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0044] By continuously monitoring and recording the changing trends of current waveforms, voltage waveforms, and phase differences in the operation of low-voltage equipment, and recording the impact of load fluctuations on the power factor, it is possible to accurately identify the timing relationship between load fluctuations and compensation requirements. By combining the matching rules of response time and compensation requirements, compensation strategies can be dynamically formulated, thereby improving the agility and matching of compensation response to fluctuating loads. During the compensation execution process, dynamic scheduling operations are completed based on capacitor switching capabilities and switching combination relationships. Through the analysis of the power factor change rate and load synchronization characteristics before and after compensation, the switching weight configuration is continuously optimized, further enhancing the dynamic balance of the compensation process. Ultimately, this effectively improves the stability of the power factor after compensation and the matching ability with load fluctuations, enhancing the adaptability and sustainability of the power factor adjustment effect. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1This is a schematic diagram of an automatic power factor adjustment system for low-voltage equipment based on end-of-line compensation provided in an embodiment of the present invention;

[0047] Figure 2 This is a schematic diagram of the system framework of the present invention;

[0048] Figure 3 This is a flowchart of the load monitoring module in this invention;

[0049] Figure 4 This is a flowchart of the compensation strategy generation module in this invention;

[0050] Figure 5 This is a flowchart of the end-point compensation execution module in this invention;

[0051] Figure 6 This is a flowchart of the dynamic balance correction module in this invention;

[0052] Figure 7 This is a flowchart of the effect evaluation module in this invention;

[0053] Figure 8 This is a flowchart of an automatic power factor adjustment method for low-voltage equipment based on end-of-line compensation provided in an embodiment of the present invention. Detailed Implementation

[0054] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0055] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0056] In the embodiments of this invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent. Similarly, the terms "of," "corresponding (relevant)," and "corresponding" may sometimes be used interchangeably. It should be noted that, without emphasizing the distinction between them, their intended meanings are consistent.

[0057] In this embodiment of the invention, sometimes a subscript such as W1 may be written in a non-subscript form such as W1. When the difference is not emphasized, the meaning they express is the same.

[0058] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0059] This invention provides an automatic power factor adjustment system for low-voltage equipment based on end-point compensation, such as... Figure 1-2 The diagram shown illustrates an automatic power factor adjustment system for low-voltage equipment based on end-of-line compensation. The system includes:

[0060] The load monitoring module acquires the operating status information of low-voltage equipment, monitors the load current waveform, voltage waveform, and phase difference change trend, records the impact of load fluctuations on the power factor, analyzes the timing relationship between load fluctuations and compensation requirements, summarizes power factor change data, and generates load characteristic compensation trigger quantities.

[0061] The compensation strategy generation module extracts the relationship between load fluctuation cycle and compensation response time based on the load characteristic compensation trigger amount, formulates a multi-level progressive compensation strategy, analyzes the response time and compensation requirements, adjusts the compensation response sequence, and obtains the compensation strategy execution instruction.

[0062] The end-of-line compensation execution module executes instructions according to the compensation strategy, calls up the location distribution information of the end-of-line compensation device, analyzes the switching capacity of the capacitor and the switching combination of the compensation point, schedules the compensation device to perform switching operations, and generates a compensation execution sequence.

[0063] The dynamic balance correction module calls the compensation execution sequence, analyzes the synchronicity between the power factor change rate and load fluctuation before and after compensation, adjusts the switching weight of the compensation point, optimizes the dynamic balance of the compensation process, and obtains the balance index of the compensation process.

[0064] The effect evaluation module is based on the balance index of the compensation process, extracts the stability of the power factor after compensation and the adaptability to load fluctuations, evaluates the compensation effect and stability, analyzes the matching ability and fluctuation of the power factor after compensation, and generates a compensation effect evaluation level.

[0065] The load characteristic compensation trigger quantity includes the degree of impact of load fluctuations on the power factor, the timing relationship between load fluctuations and compensation requirements, and the summary of power factor change data. The compensation strategy execution instructions include the relationship between load fluctuation cycle and compensation response time, progressive compensation strategy, response time analysis and compensation requirements, and compensation response timing adjustment. The compensation execution sequence includes the switching capability of compensation devices and the switching combination of compensation points, the switching operations performed by compensation devices, the order of compensation execution and scheduling strategy. The compensation process balance index includes the power factor change rate, the results of load fluctuation synchronization analysis, the adjustment of compensation point switching weights, and the optimization of dynamic balance in the compensation process. The compensation effect evaluation level includes power factor stability, load fluctuation adaptability, compensation effect stability evaluation, power factor matching capability and fluctuation analysis.

[0066] Specifically, such as Figure 2 , 3 As shown, the load monitoring module includes:

[0067] The waveform acquisition submodule acquires the operating status information of low-voltage equipment, extracts load current and voltage waveform data, analyzes the degree of waveform distortion and the trend of phase difference change, and generates a load fluctuation characteristic sequence.

[0068] To acquire low-voltage equipment operating status information, voltage and current sensors installed at the outgoing terminals of the low-voltage distribution cabinet are used to monitor the phase voltage, line voltage, and instantaneous three-phase current values ​​in real time. The sampling frequency is set to 20,000 points per second. The sensor data is converted into digital signals by an analog-to-digital converter (ADC) and transmitted to the data processing unit. Load current and voltage waveform data are extracted, representing instantaneous voltage and current amplitudes in a time series. For example, within a 0.02-second sampling period, a voltage waveform data sequence V = [220.1, 220.5, ..., 219.8] volts and a current waveform data sequence I = [15.2, 16.0, ..., 15.5] amperes are collected, totaling 400 sampling points. The degree of waveform distortion is analyzed. The total harmonic distortion (THD) of voltage and current waveforms is calculated using Fast Fourier Transform (FFT). For example, if the voltage THD is higher than 5% or the current THD is higher than 8%, significant waveform distortion is considered to exist; otherwise, the waveform distortion is considered insignificant. The phase difference trend is analyzed by calculating the instantaneous phase difference between the voltage and current waveforms and performing a moving average of the phase difference over multiple consecutive periods. For example, the average phase difference is calculated every 50 milliseconds, and its rate of change is recorded. If the rate of change of the phase difference exceeds 2 degrees / millisecond within 100 consecutive milliseconds, a significant trend in phase difference is considered to exist. A load fluctuation characteristic sequence is generated, which includes the voltage THD, current THD, and voltage-current phase difference and their rate of change for each sampling period. For example, [THD] V THD I Multidimensional time series data of [θ, Δθ / Δt].

[0069] The phase difference analysis submodule extracts the rate of change of phase difference between load current and voltage based on the load fluctuation characteristic sequence, identifies abrupt phase difference change nodes, matches the load fluctuation time points, analyzes the consistency of the phase difference change direction, and generates the load fluctuation impact degree.

[0070] Based on the load fluctuation characteristic sequence, the voltage THD, current THD, voltage-current phase difference, and their rate of change data for each sampling period within the sequence are retrieved. The rate of change of the load current and voltage phase difference is extracted. Specifically, the ratio of the phase difference difference between two consecutive sampling points or within a short time window to the time interval is calculated. For example, if the phase difference was 30 degrees at the previous moment and 35 degrees at the current moment, with a time interval of 1 millisecond, the rate of change is 5 degrees / millisecond. Phase difference abrupt change nodes are identified by setting a threshold for the rate of change. For example, if the absolute value of the rate of change exceeds 10 degrees / millisecond, it is marked as an abrupt change node. This threshold is based on extensive historical data analysis. For instance, during normal load switching, the rate of change of phase difference is usually less than 5 degrees / millisecond, while abnormal load shocks or faults can cause the rate of change to rapidly exceed 10 degrees / millisecond. Therefore, this value is set as the criterion for abrupt change judgment and is matched... At the point of load fluctuation, the timestamp of the identified phase difference abrupt change node is compared with the point of drastic change in power (e.g., instantaneous active or reactive power calculated by multiplying voltage and current) at the same moment. If the difference between the two timestamps is less than 10 milliseconds, the match is considered successful. For example, at a certain abrupt change node, the power drops sharply from 5kW to 2kW, and the phase difference change rate reaches 15 degrees / millisecond. The consistency of the phase difference change direction is analyzed, and it is checked whether the voltage and current phase differences increase or decrease simultaneously at the matched load fluctuation point, or whether they exhibit a specific directionality (e.g., the current lag angle increases when the inductive load increases). For example, if the phase difference between the current and voltage increases synchronously when the load suddenly increases, the direction is considered consistent, and the load fluctuation impact degree is generated. This impact degree is a quantitative value that comprehensively reflects the degree of phase difference abrupt change, duration, and degree of matching with power fluctuation.

[0071] The compensation trigger calculation submodule extracts the load fluctuation period and power factor deviation range based on the load fluctuation impact, sets the compensation trigger threshold, and generates the load characteristic compensation trigger quantity.

[0072] Based on the load fluctuation impact score, which is derived from the phase difference analysis submodule's comprehensive quantitative score of the phase difference abruptness, duration, and matching degree with power fluctuation, the load fluctuation period and power factor deviation range are extracted. Specifically, from the real-time monitoring data associated with the impact score, autocorrelation analysis or Fourier analysis is used to identify the periodic variation characteristics of power, current, or phase difference. For example, if a low-voltage device is detected to exhibit a 100-millisecond periodic load fluctuation, the instantaneous power factor is calculated in real time and compared with a preset benchmark value of 0.98. The benchmark value of 0.98 is set according to the State Grid's assessment standard for the power factor on the low-voltage side. For example, if the power factor is 0.85 at a certain moment, its deviation from the benchmark value range is 0.98-0.85=0.13. A compensation trigger threshold is set, which is a multi-dimensional judgment condition. For example, it is stipulated that when the load fluctuation impact score is greater than 8... Compensation is triggered when the power factor remains below 0.92 for 50 milliseconds. The threshold of 0.92 is determined based on economic analysis. For example, when the power factor is below 0.92, line losses increase significantly, and the unit electricity cost increases by more than 0.05 yuan / kWh. At the same time, the reactive power demand of the equipment increases by more than 5% of its carrying capacity. This threshold is determined through long-term operation tests under different load conditions in the laboratory, and data such as power factor, line loss, and equipment temperature are recorded. For example, by monitoring the loss rate under different power factors, it is found that the loss rate rises sharply below 0.92 to verify its rationality and generate a load characteristic compensation trigger quantity. This trigger quantity is a composite signal that includes the type of trigger (such as reactive power compensation, harmonic mitigation), the timing of the trigger (e.g., the number of milliseconds before the next trigger window), and a preliminary estimate of the compensation capacity required for the trigger (e.g., compensation of 20kVar).

[0073] Specifically, such as Figure 2 , 4 As shown, the compensation strategy generation module includes:

[0074] The fluctuation period extraction submodule extracts the relationship between the load fluctuation period and the compensation response time based on the load characteristic compensation trigger amount, analyzes the power factor change trend within the fluctuation period, and generates a compensation time window.

[0075] Based on the load characteristic compensation trigger quantity, which is a composite signal indicating the trigger type, trigger timing, and preliminary estimated compensation capacity, the relationship between the load fluctuation cycle and the compensation response time is extracted. Specifically, the dominant load fluctuation cycle is identified from the trigger quantity. For example, the trigger quantity displays a cycle of 120 milliseconds. At the same time, the actual switching response time of each compensation device is pre-stored. For example, the response time of a certain capacitor switching device is 30 milliseconds. By comparing the two, for example, a fluctuation cycle of 120 milliseconds requires compensation to be completed within 120 milliseconds, while the response time of a single device is 30 milliseconds, the trend of power factor change within the fluctuation cycle is analyzed. By curve fitting of power factor data within one or more historical fluctuation cycles, for example, using cubic spline interpolation or least squares method to predict the curve of power factor change over time, for example, it is found that within a 120 millisecond fluctuation cycle, the power factor drops from 0.88 to 0.80 and then rises back to 0.90. A compensation time window is generated, which defines the optimal time range for compensation operation within the load fluctuation cycle.

[0076] The priority determination submodule extracts the load fluctuation intensity and power factor deviation range from the baseline value based on the compensation time window, determines the compensation priority, and generates the distribution range of compensation points.

[0077] Based on a compensation time window, which defines the optimal time range for compensation operations, the system extracts the load fluctuation intensity and the power factor deviation range from the reference value. Specifically, it monitors the peak-to-peak change of the load current or power within the fluctuation period. For example, if the current fluctuates from 100 amps to 150 amps, the fluctuation intensity is 50 amps. Simultaneously, it calculates the maximum deviation of the power factor from the reference value of 0.98 during this period. For example, if the power factor reaches a minimum of 0.80, the deviation is 0.18. The system then determines the compensation priority by setting a two-dimensional matrix representing the load fluctuation intensity and power factor deviation. The rules set is used for judgment. For example, if the load fluctuation intensity is higher than 30 amps and the power factor deviation is greater than 0.15, it is judged as high priority; if the intensity is between 10 and 30 amps and the deviation is between 0.05 and 0.15, it is judged as medium priority; otherwise, it is judged as low priority. The judgment criteria are set based on stability requirements and energy efficiency optimization targets. For example, high priority events cause large fluctuations in grid voltage or equipment protection tripping, so they must be handled first. The distribution range of compensation points is generated. This range specifies which types, capacities, and locations of compensation devices are considered under the current priority.

[0078] The switching strategy planning submodule identifies the switching capacity and load fluctuation adaptability of the compensation points based on the distribution range of the compensation points, formulates a multi-level progressive compensation strategy, and generates compensation strategy execution instructions.

[0079] Based on the distribution range of compensation points, this range has defined the device types, capacities, and locations that meet the current compensation priority requirements. The switching capability of each compensation point is identified, specifically including the rated capacity, minimum switching interval, maximum number of switching cycles (within its lifespan), and actual response time of each compensation device. For example, a 10kVar parallel capacitor has a minimum switching interval of 1 second, a response time of 20 milliseconds, and a total switching cycle limit of 100,000. Load fluctuation adaptability is assessed, evaluating the ability of each compensation device to handle specific types of load fluctuations. For example, traditional capacitors primarily compensate for reactive power, while active power filters can suppress harmonics and compensate for reactive power. For loads with both reactive power and harmonics, active power filters have higher adaptability. A multi-level progressive compensation strategy is then developed. The strategy divides the compensation action into multiple stages or levels. For example, in the first stage, small-capacity devices with fast response speeds are activated first for initial compensation. If the power factor still does not meet the standard, in the second stage, devices with slightly slower response speeds but larger capacities are activated for supplementary compensation. The strategy is gradually adjusted according to the compensation effect. For example, for an event where the power factor suddenly drops to 0.80, a capacitor bank with a 20kVar and a 20ms response speed is first put into operation. If the power factor recovers to 0.90 but still does not meet the standard, a reactive power generator with a 30kVar and a 50ms response speed is added after 50ms. A compensation strategy execution instruction is generated, which is a detailed operation sequence, including the switching time, switching capacity, and specific execution action of each compensation device.

[0080] Specifically, such as Figure 2 , 5 As shown, the end-of-line compensation execution module includes:

[0081] The switching point distribution submodule executes instructions according to the compensation strategy, extracts the location distribution information and switching capacity of the end compensation device, analyzes the switching combination scheme of the compensation points, and generates the switching point activation sequence.

[0082] According to the compensation strategy execution instructions, which specify the switching time, capacity, and action of each compensation device, the location distribution information and switching capabilities of the end compensation devices are extracted. Specifically, the physical installation coordinates, rated compensation capacity, actual switching response time, and current availability status of each end compensation device are retrieved from the equipment database. For example, a 30kVar fast-response compensation device A is identified 10 meters from the load, and a 50kVar general-purpose compensation device B is identified 50 meters from the load. The switching combination scheme of the compensation points is analyzed. Based on the total compensation capacity and response time requirements preset in the instructions, and the actual capabilities of each device, the switching is performed... Optimization algorithms (e.g., based on greedy algorithms or linear programming) find the optimal combination of devices to minimize the number of switching operations, reduce losses, and achieve the target power factor. For example, if an instruction requires a total compensation capacity of 50 kVar and must be completed within 50 milliseconds, and device A has a capacity of 30 kVar (20 millisecond response) and device B has a capacity of 50 kVar (80 millisecond response), then the optimal combination is to first activate device A, and then decide whether to activate part or all of device B based on actual needs, generating a switching point activation sequence. This sequence is a precise list of switching instructions arranged in chronological order, containing the specific compensation device ID to be activated, the switching amount, and the switching time.

[0083] The switching weight allocation submodule extracts the matching degree between the switching weight of the compensation point and the compensation response time based on the switching point activation sequence, adjusts the switching weight allocation ratio, and generates the compensation execution sequence.

[0084] Based on the switching point activation sequence, which specifies the compensation device to be activated, the switching amount, and the switching time, the matching degree between the switching weight of the compensation point and the compensation response time is extracted. Specifically, the initial switching weight of each compensation device is obtained from a preset parameter table. For example, the weight of a high-speed response device is 0.7, and the weight of a general device is 0.3. At the same time, the matching degree between the actual response time of each device and the response time required in the activation sequence is calculated. For example, if a response within 30 milliseconds is required, and a device actually responds in 25 milliseconds, the matching degree is 25 / 30. The switching weight allocation ratio is adjusted. By monitoring the effect after switching in real time, the switching weight of each compensation device is dynamically adjusted based on the effect feedback. For example, if a high-speed response device exhibits overshoot or undercompensation in multiple switchings, its weight will be appropriately reduced, and some weight will be allocated to devices with stable performance. The adjustment ratio is based on a feedback control mechanism. For example, the weight is adjusted by a PID controller based on the deviation between the power factor and the target value. A compensation execution sequence is generated. This sequence is the final switching instruction determined and sent to the hardware actuator, containing the precise capacity or state that each device needs to switch at a specific time.

[0085] Specifically, such as Figure 2 , 6As shown, the dynamic balance correction module includes:

[0086] The rate of change analysis submodule calls the compensation execution sequence, extracts the synchronicity between the rate of change of power factor and load fluctuation before and after compensation, analyzes the dynamic balance of the compensation process, and generates compensation weight adjustment instructions.

[0087] The compensation execution sequence is invoked, which specifies the switching time, switching capacity, and specific execution actions of each compensation device. The rate of change of power factor before and after compensation is extracted. Specifically, power factor data is collected immediately before and after the compensation action, and its rate of change is calculated. For example, before compensation, the power factor drops from 0.85 to 0.80 within 10 milliseconds, with a rate of change of -0.005 / millisecond; after compensation, it rises from 0.80 to 0.95 within 10 milliseconds, with a rate of change of 0.015 / millisecond. The synchronicity of load fluctuations is extracted by comparing the time delay of the power factor change after compensation with the time delay of the load fluctuation start time. For example, if the load fluctuation starts at time T0, the power factor change after compensation... If the power factor stabilizes at time T0+50ms, the synchronization delay is 50 milliseconds. The dynamic balance of the compensation process is analyzed by evaluating whether the power factor quickly converges to the target value after compensation and whether there is overshoot, undershoot, or continuous oscillation. For example, if the power factor fluctuates within the range of 0.98±0.01 after compensation without significant overshoot, the dynamic balance is considered good, and a compensation weight adjustment instruction is generated. Based on the results of the dynamic balance analysis, this instruction suggests increasing or decreasing the switching weight of certain compensation devices. For example, if overshoot occurs in a certain compensation, the instruction suggests reducing the weight of a certain high-speed response device involved in the switching to avoid overcompensation in the next time.

[0088] The switching weight optimization submodule extracts the adaptability of the switching weight of the compensation point to the load fluctuation based on the compensation weight adjustment instruction, adjusts the switching weight allocation ratio, optimizes the dynamic balance of the compensation process, and obtains the compensation weight optimization result.

[0089] Based on the compensation weight adjustment instruction, which originates from the analysis of the dynamic balance of the compensation process, the switching weights at compensation points and their adaptability to load fluctuations are extracted. Specifically, the switching weights of each compensation device are read from memory; for example, device A has a weight of 0.6, and device B has a weight of 0.4. Simultaneously, the adaptability rating of each device in dealing with the current type of load fluctuation is evaluated or updated. For example, for high-frequency harmonic loads, the adaptability rating of active filters is high, while that of ordinary capacitors is low. The switching weight allocation ratio is adjusted. Based on the adjustment instruction and the load fluctuation adaptability of each device, an iterative optimization method (e.g., based on gradient descent or genetic algorithms) is used to finely adjust the weights. For example, the instruction suggests reducing the weight of a certain device by 10. If the power factor is less adaptable to current load fluctuations, its actual weight will be reduced proportionally, for example, from 0.6 to 0.54. Simultaneously, the released weight will be redistributed to devices with higher adaptability or more stable performance to optimize the dynamic balance of the compensation process. This adjustment aims to ensure that the power factor reaches the target value more quickly and smoothly during subsequent load fluctuations, reducing overshoot and undershoot. For example, by adjusting the weights, compensation devices can be selected and combined more accurately based on real-time load changes, resulting in an optimized compensation weight. This result is the final weight allocation scheme after calculation and adjustment; for example, the optimized weight of device A is 0.55, and the optimized weight of device B is 0.45, serving as the basis for the next compensation action.

[0090] The balance assessment submodule calls the compensation weight optimization results, extracts the compensation action frequency within the differentiated time period, statistically analyzes the changes in the current stable range and abnormal amplitude before and after compensation, calculates the current fluctuation difference value, analyzes the compensation amplitude fluctuation range per unit time, assesses the symmetry deviation of the compensation distribution and the proportion of abnormal time periods, and generates the balance index of the compensation process.

[0091] The difference in current fluctuation is calculated using the following formula:

[0092]

[0093] Where ΔQ represents the difference in current fluctuation, n represents the total number of monitored sampling periods, and H i I represents the current value before compensation in the i-th sampling period. i Δt represents the current value after compensation during the i-th sampling period. i α represents the duration of the i-th sampling period. i This represents the external disturbance influence coefficient during the i-th sampling period;

[0094] The system retrieves the compensation weight optimization results, which provide an adjusted and optimized switching weight allocation scheme. It extracts the compensation operation frequency within differentiated time periods, specifically counting the number of switching operations of each compensation device under different load characteristics or time periods (e.g., peak, off-peak, and low-peak periods, or periods dominated by inductive or capacitive loads). For example, during a peak hour, the switching frequency of a capacitor bank might be 50 times / hour. The system also analyzes the changes in current stability range and abnormal amplitude before and after compensation. It calculates the standard deviation, mean, and peak value of the current data before and after compensation, identifying whether the current remains within the target stability range (e.g., within ±5% of the rated current). Furthermore, it detects whether there are instantaneous current jumps or continuous current fluctuations exceeding the normal range. For example, the current fluctuation range before compensation might be ±10 amps, reduced to ±2 amps after compensation, but an abnormal peak of 100 amps occurs at a certain moment. The system calculates the difference in current fluctuation. Where ΔQ represents the current fluctuation difference value, indicating the average deviation of the current from its pre-compensation state after compensation, and taking into account the influence of sampling duration and external disturbances; the smaller this value, the more stable the compensation effect; n represents the total number of monitored sampling periods, indicating the number of samples included in the calculation; H i The current value before compensation in the i-th sampling period is used as the reference or original current state; I i The current value after compensation during the i-th sampling period is represented by Δt, which is the actual current response of the system after the compensation operation. i α represents the duration of the i-th sampling period, used to normalize the current difference over time, enabling comparison of measurements with different sampling frequencies or durations; i This represents the influence coefficient of external disturbances during the i-th sampling period. For example, when a momentary drop in grid voltage or an increase in harmonic background is detected, this coefficient will increase accordingly to reduce the impact of uncompensated factors on the calculation of current fluctuation differences.

[0095] The advantage of the formula lies in the introduction of the external disturbance influence coefficient α. i This allows for a more accurate separation of current fluctuations caused purely by compensation actions or load changes, thus enabling ΔQ to more objectively reflect the actual dynamic balance performance of the compensation and avoiding the interference of external interference with the evaluation results. For example, n=3 sampling periods can be selected for calculation;

[0096] In the first time period, the current before compensation H1 = 100A, the current after compensation I1 = 98A, the sampling time length Δt1 = 0.01s, and the external disturbance influence coefficient α1 = 0.001s (representing small disturbances, such as background noise);

[0097] In the second time period, the current before compensation H2 = 120A, the current after compensation I2 = 122A, the sampling time length Δt2 = 0.01s, and the external disturbance influence coefficient α2 = 0.002s (indicating moderate disturbance, such as slight voltage fluctuations);

[0098] In the third time period, the current before compensation H3 = 90A, the current after compensation I3 = 91A, the sampling time length Δt3 = 0.01s, and the external disturbance influence coefficient α3 = 0.0005s (indicating a very small disturbance);

[0099] Substitute the values ​​into the formula:

[0100]

[0101] The results show that after compensation, the average fluctuation difference of the current compared to the state before compensation is 147.91 amperes per second, which is a moderately low value, reflecting good current stability achieved during dynamic compensation. The analysis of the compensation amplitude fluctuation range per unit time is performed by calculating the root mean square value of the actual compensated reactive power and its maximum and minimum fluctuation amplitude within a fixed time window (e.g., 1 minute). For example, the compensation amplitude fluctuates within ±5 kVar within 1 minute. The symmetry deviation of the compensation distribution and the proportion of abnormal periods are assessed, and the balance of three-phase compensation is checked. The percentage of periods with power factor deviation from the target value and abnormal current fluctuations within the total monitoring time is also measured. For example, the assessment results show that the compensation asymmetry deviation is less than 2%, and the proportion of abnormal periods is less than 1%. A balance index for the compensation process is generated. This index is a comprehensive indicator, for example, ranging from 0 to 100, combining the current fluctuation difference value, compensation action frequency, and the proportion of current stable intervals. For example, if the ΔQ value is low (less than 150 A / s) and the proportion of abnormal periods is small, the balance index reaches 85.

[0102] Specifically, such as Figure 2 , 7 As shown, the effect evaluation module includes:

[0103] The stability assessment submodule extracts the power factor stability and load fluctuation adaptability after compensation based on the balance index of the compensation process, analyzes the relationship between the power factor stability score and the load fluctuation adaptability level, and generates the compensation effect assessment results.

[0104] Based on the balance index of the compensation process, this index comprehensively reflects the current stability, compensation action frequency, and proportion of abnormal periods after compensation. It extracts the power factor stability and load fluctuation adaptability after compensation. Specifically, it calculates the proportion of time during which the power factor remains within the target range (e.g., 0.98±0.01) during continuous monitoring after compensation. For example, the power factor is stable within this range for 98% of the time. Simultaneously, it evaluates the system's response to different types of load fluctuations (e.g., impulsive, periodic, random). For example, the adaptability rating for periodic load fluctuations is high. The relationship between the power factor stability score and the load fluctuation adaptability level is analyzed. Through a preset scoring mechanism, the stability percentage is mapped to a score (e.g., 98% stability corresponds to 95 points), combined with the load fluctuation adaptability level (e.g., high, medium, low). For example, if the power factor stability score is 95 points and the load fluctuation adaptability level is "high," the compensation effect is considered very ideal, generating a compensation effect evaluation result. This result is a quantitative value or level; for example, the evaluation result is "excellent."

[0105] The adaptability analysis submodule calls the compensation effect evaluation results, extracts the power factor change trend after compensation and the adaptability to load fluctuations, analyzes the matching degree between the compensation effect and load fluctuations, and generates the load fluctuation adaptability level.

[0106] The system retrieves the compensation effect evaluation results, which quantify or classify the overall performance of the compensation. It extracts the trend of power factor change after compensation and the adaptability to load fluctuations, specifically analyzing the long-term trend of the power factor over time (e.g., whether there is a slow decrease or increase), and the time and process required for the power factor to recover to the target value during various load switching or fluctuations. Simultaneously, it re-evaluates the system's ability to match various loads by referring to a pre-defined load type feature library, such as impulsive loads, periodic loads, and random loads. It analyzes the degree of matching between the compensation effect and load fluctuations by comparing the actual power factor curve after compensation with the theoretical optimal power factor curve. For example, if the actual curve always closely follows the theoretical curve, the matching degree is high; otherwise, it is low. A load fluctuation adaptability level is generated, which is the final judgment of the system's ability to cope with different load fluctuations. For example, based on the degree of matching, the adaptability is divided into three levels: "high," "medium," and "low." For instance, if the matching degree score reaches 90% or higher, the final adaptability level is judged as "high."

[0107] The balance determination submodule extracts the balance index of the compensation process based on the load fluctuation adaptability level, evaluates the dynamic balance of the compensation process, and generates a compensation effect evaluation level.

[0108] Based on the load fluctuation adaptability level, which is the final judgment of the ability to cope with different load fluctuations, for example, if the adaptability is judged as "high", the balance index of the compensation process is extracted. This index comes from the dynamic balance correction module. For example, if the balance index is 85 and the previously calculated current fluctuation difference value ΔQ = 147.91A / s, the dynamic balance of the compensation process is evaluated. By comparing the balance index with the preset judgment threshold, for example, if the balance index is higher than 80 and ΔQ is less than 150A / s, it is judged as "good dynamic balance". The threshold of 80 is set based on long-term operating data and expert experience. For example, after multiple experimental verifications, when the index is lower than 80, frequent switching or voltage fluctuations exceeding the allowable range will occur. The compensation effect evaluation level is generated. This level is the final comprehensive evaluation of the performance of the entire compensation system. For example, if the load fluctuation adaptability level is "high" and the dynamic balance evaluation is "good", then the final compensation effect evaluation level is "excellent".

[0109] See also Figure 8 The automatic power factor adjustment method for low-voltage equipment based on end-of-line compensation is implemented based on the aforementioned automatic power factor adjustment system for low-voltage equipment based on end-of-line compensation, and includes the following steps:

[0110] S1: Obtain low-voltage equipment operating status information, including load current waveform, voltage waveform and phase difference change trend, extract load fluctuation feature sequence and load fluctuation influence degree, and generate load characteristic compensation trigger quantity;

[0111] S2: Based on the load characteristic compensation trigger quantity, extract the relationship between load fluctuation cycle and compensation response time, formulate a multi-level progressive compensation strategy, determine the compensation priority and compensation point distribution range, and generate compensation strategy execution instructions;

[0112] S3: Based on the compensation strategy execution instruction, call the location distribution information and switching capability of the end compensation device, calculate the switching combination scheme of the compensation point, and generate the compensation execution sequence;

[0113] S4: Based on the compensation execution sequence, analyze the synchronicity between the power factor change rate and load fluctuation before and after compensation, adjust the switching weight of the compensation point, optimize the dynamic balance of the compensation process, and obtain the balance index of the compensation process.

[0114] S5: Based on the balance index of the compensation process, extract the power factor stability and load fluctuation adaptability after compensation, evaluate the compensation effect, and generate a compensation effect evaluation level.

[0115] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A low-voltage equipment power factor automatic adjustment system based on end-point compensation, characterized in that, The system includes: The load monitoring module acquires the operating status information of low-voltage equipment, monitors the load current waveform, voltage waveform, and phase difference change trend, records the impact of load fluctuations on the power factor, analyzes the timing relationship between load fluctuations and compensation requirements, summarizes power factor change data, and generates load characteristic compensation trigger quantities. The compensation strategy generation module extracts the relationship between load fluctuation cycle and compensation response time based on the load characteristic compensation trigger amount, formulates a multi-level progressive compensation strategy, analyzes the response time and compensation requirements, adjusts the compensation response sequence, and obtains the compensation strategy execution instruction. The end-of-line compensation execution module executes instructions according to the compensation strategy, calls the end-of-line compensation device location distribution information, analyzes the capacitor switching capability and the switching combination of compensation points, schedules the compensation device to perform switching operations, and generates a compensation execution sequence. The dynamic balance correction module calls the compensation execution sequence, analyzes the synchronicity of the power factor change rate and load fluctuation before and after compensation, adjusts the switching weight of the compensation point, optimizes the dynamic balance of the compensation process, and obtains the balance index of the compensation process.

2. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 1, characterized in that: The load characteristic compensation trigger quantity includes the degree of impact of load fluctuation on power factor, the time relationship between load fluctuation and compensation demand, and the summary of power factor change data. The compensation strategy execution instruction includes the relationship between load fluctuation cycle and compensation response time, progressive compensation strategy, response time analysis and compensation demand, and compensation response timing adjustment. The compensation execution sequence includes the switching capability of compensation device and the switching combination of compensation points, the switching operation performed by compensation device, the order of compensation execution and scheduling strategy. The compensation process balance index includes the power factor change rate, load fluctuation synchronization analysis results, compensation point switching weight adjustment, and dynamic balance optimization of the compensation process.

3. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 1, characterized in that: The load monitoring module includes: The waveform acquisition submodule acquires the operating status information of low-voltage equipment, extracts load current and voltage waveform data, analyzes the degree of waveform distortion and the trend of phase difference change, and generates a load fluctuation characteristic sequence. The phase difference analysis submodule extracts the rate of change of the phase difference between the load current and voltage based on the load fluctuation characteristic sequence, identifies the abrupt change nodes of the phase difference, matches the load fluctuation time points, analyzes the consistency of the phase difference change direction, and generates the load fluctuation impact degree. The compensation trigger calculation submodule extracts the load fluctuation period and power factor deviation range based on the load fluctuation impact degree, sets the compensation trigger threshold, and generates the load characteristic compensation trigger amount.

4. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 3, characterized in that: The compensation strategy generation module includes: The fluctuation period extraction submodule extracts the relationship between the load fluctuation period and the compensation response time based on the load characteristic compensation trigger amount, analyzes the power factor change trend within the fluctuation period, and generates a compensation time window. The priority determination submodule extracts the load fluctuation intensity and power factor deviation range from the reference value based on the compensation time window, determines the compensation priority, and generates the compensation point distribution range. The switching strategy planning submodule identifies the switching capability and load fluctuation adaptability of the compensation points based on the distribution range of the compensation points, formulates a multi-level progressive compensation strategy, and generates compensation strategy execution instructions.

5. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 4, characterized in that: The end-point compensation execution module includes: The dispatch point distribution submodule executes instructions according to the compensation strategy, extracts the location distribution information and dispatch capability of the end compensation device, analyzes the dispatch combination scheme of the compensation points, and generates the dispatch point activation sequence. The switching weight allocation submodule extracts the matching degree between the switching weight and the compensation response time of the compensation point based on the switching point activation sequence, adjusts the switching weight allocation ratio, and generates the compensation execution sequence.

6. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 5, characterized in that: The dynamic balance correction module includes: The rate of change analysis submodule calls the compensation execution sequence to extract the synchronicity between the rate of change of power factor and load fluctuation before and after compensation, analyze the dynamic balance of the compensation process, and generate compensation weight adjustment instructions. Based on the compensation weight adjustment instruction, the switching weight optimization submodule extracts the adaptability of the switching weight of the compensation point to the load fluctuation, adjusts the switching weight allocation ratio, optimizes the dynamic balance of the compensation process, and obtains the compensation weight optimization result. The balance assessment submodule calls the compensation weight optimization results, extracts the frequency of compensation actions within the differentiated time period, statistically analyzes the changes in the current stable range and abnormal amplitude before and after compensation, calculates the current fluctuation difference value, analyzes the range of compensation amplitude fluctuation per unit time, assesses the symmetry deviation of compensation distribution and the proportion of abnormal time periods, and generates a balance index for the compensation process.

7. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 6, characterized in that: The current fluctuation difference value is calculated using the following formula: Where ΔQ represents the difference in current fluctuation, n represents the total number of monitored sampling periods, and H i I represents the current value before compensation in the i-th sampling period. i Δt represents the current value after compensation during the i-th sampling period. i α represents the duration of the i-th sampling period. i This represents the influence coefficient of external disturbances during the i-th sampling period.

8. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 1, characterized in that: The system also includes an effectiveness evaluation module: The effect evaluation module extracts the stability of the power factor and the adaptability to load fluctuations after compensation based on the balance index of the compensation process, evaluates the compensation effect and stability, analyzes the matching ability and fluctuation of the power factor after compensation, and generates a compensation effect evaluation level. The compensation effect evaluation levels include power factor stability, load fluctuation adaptability, compensation effect stability evaluation, power factor matching capability and fluctuation analysis.

9. The low-voltage equipment power factor automatic adjustment system based on end-of-line compensation according to claim 8, characterized in that: The performance evaluation module includes: Based on the balance index of the compensation process, the stability assessment submodule extracts the power factor stability and load fluctuation adaptability after compensation, analyzes the relationship between the power factor stability score and the load fluctuation adaptability level, and generates the compensation effect assessment result. The adaptability analysis submodule calls the compensation effect evaluation results, extracts the power factor change trend and load fluctuation adaptability after compensation, analyzes the matching degree between the compensation effect and the load fluctuation, and generates the load fluctuation adaptability level. The balance determination submodule extracts the balance index of the compensation process based on the load fluctuation adaptability level, evaluates the dynamic balance of the compensation process, and generates a compensation effect evaluation level.

10. A method for automatic power factor adjustment of low-voltage equipment based on end-point compensation, characterized in that, The method is used to implement the low-voltage equipment power factor automatic adjustment system based on end-compensation as described in any one of claims 1-9, and includes the following steps: S1: Obtain low-voltage equipment operating status information, including load current waveform, voltage waveform and phase difference change trend, extract load fluctuation feature sequence and load fluctuation influence degree, and generate load characteristic compensation trigger quantity; S2: Based on the load characteristic compensation trigger amount, extract the relationship between load fluctuation cycle and compensation response time, formulate a multi-level progressive compensation strategy, determine the compensation priority and compensation point distribution range, and generate compensation strategy execution instructions; S3: Based on the compensation strategy execution instruction, call the location distribution information and switching capability of the end compensation device, calculate the switching combination scheme of the compensation point, and generate the compensation execution sequence; S4: Based on the compensation execution sequence, analyze the synchronicity between the power factor change rate and load fluctuation before and after compensation, adjust the switching weight of the compensation point, optimize the dynamic balance of the compensation process, and obtain the balance index of the compensation process. S5: Based on the balance index of the compensation process, extract the power factor stability and load fluctuation adaptability after compensation, evaluate the compensation effect, and generate a compensation effect evaluation level.

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