Voltage analyzing and adjusting method for four-fusible integrated terminal

Abstract

The invention relates to the technical field of data processing, in particular to a voltage analysis and adjustment method for a four-fusible integrated terminal, and the method comprises the following steps: obtaining voltage data and current data of a power system, and obtaining a historical voltage data sequence and a historical current data sequence; obtaining the suspected anomaly degree of the voltage data at the current sampling moment, and judging whether the voltage data at the current sampling moment has suspected anomaly or not; when the voltage data at the current sampling moment is suspected to be abnormal, acquiring the real fluctuation degree of the voltage data at the current sampling moment; and if the real fluctuation degree is greater than a preset real fluctuation degree threshold value, acquiring a voltage regulation value according to the real fluctuation degree, and regulating the voltage data at the current sampling moment. According to the invention, the accuracy of adjusting the voltage data at the current sampling moment is higher, and the problem of over-adjustment of the voltage cannot be caused.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a voltage analysis and adjustment method for a four-in-one terminal. Background Art

[0002] The four-in-one terminal refers to an electric energy measurement and control terminal that integrates all photovoltaic four-in-one devices, takes circuit breakers as the basic carrier, and combines interface converters and current transformers to form an observable, measurable, controllable, and adjustable electric energy measurement and control terminal. It is suitable for energy edge autonomy in substations, photovoltaic four-in-one management, compliance regulation, and digital construction of substations. The four-in-one terminal can realize the measurement, monitoring, and analysis of electric energy. It uses the recorded data of the metering chip to complete the functions of harmonic collection, three-phase voltage and current imbalance, voltage fluctuation, flicker analysis, and arc detection. Among them, the analysis and adjustment of voltage is one of the important links of the four-in-one terminal for intelligent electric energy analysis. Through the automatic analysis and adjustment of voltage, the need for manual operation can be reduced, and the risk of misoperation or misjudgment caused by human factors can be reduced. Automatic analysis and adjustment can be accurately controlled according to real-time data, reducing the risk of human intervention.

[0003] The existing technology usually uses threshold monitoring to automatically adjust the voltage, and adjusts it after the threshold voltage exceeds the threshold. However, the response speed of adjustment after the threshold voltage exceeds the threshold may be slow, which may cause an increase in harmonics in the power system and distortion of current and voltage waveforms, thereby increasing harmonic pollution, affecting the normal operation of the four-in-one terminal, and increasing the operating burden of the four-in-one terminal; if the frequency of adjustment after the threshold voltage exceeds the threshold, it will also cause a large loss to the four-in-one terminal and cause an unstable impact on the power system. In addition, the occurrence of the threshold voltage may also be caused by electromagnetic interference to the sensor. At this time, the adjustment may cause the problem of voltage over-regulation.

[0004] Therefore, how to use the four-in-one terminal to accurately analyze the real-time data in the power system and make corresponding adjustments to the fluctuating voltage in the power system has become an urgent problem to be solved. Summary of the invention

[0005] In view of this, an embodiment of the present invention provides a voltage analysis and adjustment method for four-in-one terminals to solve the problem of how to use four-in-one terminals to accurately analyze real-time data in the power system and make corresponding adjustments to the fluctuating voltage in the power system.

[0006] An embodiment of the present invention provides a voltage analysis and adjustment method for a four-in-one terminal, the method comprising: Acquire voltage data and current data of the power system at each sampling moment, and form historical voltage data and historical current data within a preset time range before the current sampling moment into a historical voltage data sequence and a historical current data sequence respectively; According to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence, the suspected abnormality degree of the voltage data at the current sampling moment is obtained, and according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold, whether the voltage data at the current sampling moment has a suspected abnormality is determined; When there is a suspected abnormality in the voltage data at the current sampling moment, the actual fluctuation degree of the voltage data at the current sampling moment is obtained according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the degree of correlation between the historical voltage data sequence and the historical current data sequence; If the actual fluctuation degree of the voltage data at the current sampling moment is greater than a preset actual fluctuation degree threshold, the voltage adjustment value at the current sampling moment is obtained according to the actual fluctuation degree of the voltage data at the current sampling moment, and the voltage data at the current sampling moment is adjusted according to the voltage adjustment value at the current sampling moment.

[0007] Preferably, judging whether the voltage data at the current sampling moment has a suspected abnormality according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold comprises: When the suspected abnormality degree of the voltage data at the current sampling moment is greater than or equal to a preset suspected abnormality degree threshold, confirming that the voltage data at the current sampling moment has a suspected abnormality; When the suspected abnormality degree of the voltage data at the current sampling moment is less than a preset suspected abnormality degree threshold, it is confirmed that there is no abnormality in the voltage data at the current sampling moment.

[0008] Preferably, after obtaining the real fluctuation degree of the voltage data at the current sampling moment according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence, the method further includes: If the actual fluctuation degree of the voltage data at the current sampling moment is less than or equal to a preset actual fluctuation degree threshold, there is no need to adjust the voltage data at the current sampling moment.

[0009] Preferably, obtaining the suspected abnormality degree of the voltage data at the current sampling moment according to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence includes: Obtaining voltage data at a sampling moment before the current sampling moment in the historical voltage data sequence, recording the voltage data as the previous voltage data, obtaining a first absolute value of a difference between the voltage data at the current sampling moment and the previous voltage data, and normalizing the first absolute value of the difference to obtain a first normalized value; Acquire a voltage data mean value of the historical voltage data sequence, calculate a second difference absolute value between the voltage data at the current sampling moment and the voltage data mean value, and perform normalization processing on the second difference absolute value to obtain a second normalized value; The suspected abnormality degree of the voltage data at the current sampling moment is obtained according to the addition result of the first normalized value and the second normalized value.

[0010] Preferably, the obtaining of the actual fluctuation degree of the voltage data at the current sampling moment according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence, comprises: According to the data fluctuation characteristics in the historical voltage data sequence, obtaining a real fluctuation characteristic value of the historical voltage data sequence; According to the data fluctuation characteristics in the historical current data sequence, obtaining a real fluctuation characteristic value of the historical current data sequence; According to the correlation degree between the real fluctuation characteristic value of the historical voltage data sequence and the real fluctuation characteristic value of the historical current data sequence, obtaining the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence; The real fluctuation degree of the voltage data at the current sampling moment is obtained according to the product of the real fluctuation characteristic value of the historical voltage data sequence and the correlation characteristic degree.

[0011] Preferably, the obtaining of the real fluctuation characteristic value of the historical voltage data sequence according to the data fluctuation characteristic in the historical voltage data sequence comprises: Constructing a historical voltage data curve of the historical voltage data sequence, obtaining peak voltage data and valley voltage data in the historical voltage data curve, obtaining a first slope of a line connecting any peak voltage data and valley voltage data adjacent to its left for any peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, obtaining a second slope of a line connecting any peak voltage data and valley voltage data adjacent to its right, calculating a difference between the first slope and the second slope, obtaining differences corresponding to all peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, obtaining a first difference cumulative value correspondingly, and obtaining a first inverse of the first difference cumulative value; Obtaining a time interval between a valley voltage data adjacent to the left of any of the peak voltage data and a valley voltage data adjacent to the right of any of the peak voltage data, recording it as the time interval corresponding to any of the peak voltage data, obtaining time intervals corresponding to all of the peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, and obtaining a first time interval mean value accordingly, obtaining the number of peak voltage data in the historical voltage data curve, recording it as a first number, and obtaining a second inverse of the first number accordingly, and obtaining a first product of the first time interval mean value and the second inverse number; Respectively obtaining the time intervals between every two adjacent peak voltage data in the historical voltage data curve to form a first time interval sequence, obtaining a first variance of the first time interval sequence, and obtaining a third inverse of the first variance; The real fluctuation characteristic value of the historical voltage data sequence is obtained according to the addition result of the first inverse, the first product and the third inverse.

[0012] Preferably, obtaining the real fluctuation characteristic value of the historical current data sequence according to the data fluctuation characteristic in the historical current data sequence includes: Constructing a historical current data curve of the historical current data sequence, obtaining peak current data and valley current data in the historical current data curve, obtaining a third slope of a line connecting any peak current data and valley current data adjacent to its left for any peak current data except the first peak current data and the last peak current data in the historical current data curve, obtaining a fourth slope of a line connecting any peak current data and valley current data adjacent to its right, calculating a difference between the third slope and the fourth slope, obtaining differences corresponding to all peak current data except the first peak current data and the last peak current data in the historical current data curve, obtaining a corresponding second difference accumulated value, and obtaining a fourth reciprocal of the second difference accumulated value; Obtaining a time interval between a valley current data adjacent to the left of any peak current data and a valley current data adjacent to the right of any peak current data, recording it as the time interval corresponding to any peak current data, obtaining time intervals corresponding to all peak current data except the first peak current data and the last peak current data in the historical current data curve, and correspondingly obtaining a second time interval mean, obtaining the number of peak current data in the historical current data curve, recording it as a second number, and correspondingly obtaining a fifth reciprocal of the second number, and obtaining a second product of the second time interval mean and the fifth reciprocal; Respectively obtaining the time intervals between every two adjacent peak current data in the historical current data curve to form a second time interval sequence, obtaining a second variance of the second time interval sequence, and obtaining a sixth inverse of the second variance; The real fluctuation characteristic value of the historical current data sequence is obtained according to the addition result of the fourth inverse, the second product and the sixth inverse.

[0013] Preferably, the obtaining the degree of correlation characteristics between the historical voltage data sequence and the historical current data sequence according to the degree of correlation between the real fluctuation characteristic value of the historical voltage data sequence and the real fluctuation characteristic value of the historical current data sequence comprises: The third absolute value of the difference between the real fluctuation characteristic value of the historical voltage data sequence and the real fluctuation characteristic value of the historical current data sequence is obtained, and the third absolute value of the difference is normalized to obtain the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence.

[0014] Preferably, obtaining the voltage regulation value at the current sampling moment according to the actual fluctuation degree of the voltage data at the current sampling moment includes: Obtain the standard voltage of the power system, set the boundary value of the voltage data in the power system, the boundary value is divided into an upper boundary value and a lower boundary value, if the voltage data at the current sampling moment is greater than the standard voltage, the upper boundary value is recorded as the target boundary value, if the voltage data at the current sampling moment is less than the standard voltage, the lower boundary value is recorded as the target boundary value, calculate the absolute value of the difference between the standard voltage and the target boundary value, record it as the total voltage difference, calculate the absolute value of the difference between the voltage data at the current sampling moment and the target boundary value, record it as the boundary difference, obtain the absolute value of the difference between the total voltage difference and the boundary difference, record it as the maximum voltage regulation value, and obtain the voltage regulation value at the current sampling moment according to the product of the maximum voltage regulation value and the actual fluctuation degree of the voltage data at the current sampling moment.

[0015] Preferably, adjusting the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment includes: If the voltage data at the current sampling moment is greater than the standard voltage, obtaining a difference between the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment as the adjusted voltage data; If the voltage data at the current sampling moment is less than the standard voltage, the sum of the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment is obtained as the adjusted voltage data.

[0016] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: The present invention obtains voltage data and current data of the power system at each sampling moment, and forms a historical voltage data sequence and a historical current data sequence with historical voltage data and historical current data within a preset time range before the current sampling moment respectively; obtains the suspected abnormality degree of the voltage data at the current sampling moment according to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence, and judges whether the voltage data at the current sampling moment has a suspected abnormality according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold; when the voltage data at the current sampling moment has a suspected abnormality, obtains the real fluctuation degree of the voltage data at the current sampling moment according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence; if the real fluctuation degree of the voltage data at the current sampling moment is greater than the preset real fluctuation degree threshold, obtains the voltage adjustment value at the current sampling moment according to the real fluctuation degree of the voltage data at the current sampling moment, and adjusts the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment. Among them, firstly, the suspected abnormality degree of the voltage data at the current sampling moment is obtained to make a preliminary judgment on the voltage data at the current sampling moment. When the voltage data at the current sampling moment is suspected to be abnormal, the real fluctuation degree of the voltage data at the current sampling moment is obtained according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence, and the possibility that the suspected abnormality of the voltage data at the current sampling moment is caused by load short circuit or disconnection or load start and stop of large mechanical equipment is judged, so as to reduce the problem of voltage over-regulation caused by abnormal voltage data due to electromagnetic interference; then, according to the real fluctuation degree of the voltage data at the current sampling moment, the voltage adjustment value at the current sampling moment is obtained, and the voltage data at the current sampling moment is adjusted accordingly in time, so that the adjustment of the voltage data at the current sampling moment is more accurate and will not cause the problem of voltage over-regulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0018] Figure 1It is a method flow chart of a voltage analysis and adjustment method for four integrated terminals provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0019] Embodiments of the present disclosure are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, but should not be understood as limiting the present disclosure.

[0020] It should be noted that the terms "first", "second", etc. in the specification of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present disclosure described herein can be implemented in an order other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure.

[0021] In order to illustrate the technical solution of the present invention, specific embodiments are provided below for illustration.

[0022] The embodiment of the present invention provides a voltage analysis and adjustment method for a four-in-one terminal, such as Figure 1 As shown, the method comprises the following steps: Step S101 , obtaining voltage data and current data of the power system at each sampling moment, and forming a historical voltage data sequence and a historical current data sequence into historical voltage data sequences and historical current data sequences respectively within a preset time range before the current sampling moment.

[0023] In the power system, the four-in-one terminal uses voltage sensors and current sensors to monitor voltage data and current data in real time, and obtains the voltage data and current data at the current sampling moment, as well as the historical voltage data and historical current data within a preset time range before the current sampling moment. The current sampling moment is continuous with the sampling moment within the preset time range, but is not within the preset time range. In this embodiment, the collection frequency of the current sensor and the voltage sensor is set to 1 Hz, and the preset time range is 100 minutes. The historical voltage data and historical current data within 100 minutes before the current sampling moment are composed of a historical voltage data sequence and a historical current data sequence. There is no restriction here, and it can be set according to the specific implementation scenario.

[0024] Step S102, obtaining the suspected abnormality degree of the voltage data at the current sampling moment based on the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence, and judging whether there is a suspected abnormality in the voltage data at the current sampling moment based on the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold.

[0025] In order to use the four-in-one terminal to automatically analyze and adjust the voltage data of the power system, the existing technology usually uses threshold monitoring to automatically adjust the voltage, and adjusts it after the threshold voltage exceeds the threshold. However, the response speed of adjustment after the threshold voltage exceeds the threshold may be slow, which may cause an increase in harmonics in the power system and distortion of current and voltage waveforms, thereby increasing harmonic pollution, affecting the normal operation of the four-in-one terminal, and increasing the operating burden of the four-in-one terminal. In addition, the occurrence of the threshold voltage may also be caused by electromagnetic interference to the sensor. If the adjustment is made at this time, the problem of voltage over-regulation may occur.

[0026] Therefore, it is necessary to perform real-time analysis on the voltage data at each sampling moment in the power system. Taking the current sampling moment as an example, it is necessary to determine whether there is any abnormality in the voltage data at the current sampling moment. If there is any abnormality in the voltage data at the current sampling moment, timely adjustments should be made.

[0027] Since the difference between the voltage data at the current sampling moment and the voltage data at the previous sampling moment can reflect the change of the voltage data, the greater the change of the voltage data, the more likely the voltage data at the current sampling moment is abnormal, but the voltage data at the previous sampling moment of the current sampling moment itself may be an abnormal voltage, and the voltage data mean of the historical voltage data sequence can reflect the normal fluctuation level of the historical voltage data. Therefore, the suspected abnormality degree of the voltage data at the current sampling moment can be obtained according to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical data sequence, and according to the suspected abnormality degree of the voltage data at the current sampling moment, it is judged whether the voltage data at the current sampling moment has a suspected abnormality.

[0028] Among them, according to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical data sequence, the specific method for obtaining the suspected abnormality degree of the voltage data at the current sampling moment is: Obtaining voltage data at a sampling moment before the current sampling moment in the historical voltage data sequence, recording the voltage data as the previous voltage data, obtaining a first absolute value of a difference between the voltage data at the current sampling moment and the previous voltage data, and normalizing the first absolute value of the difference to obtain a first normalized value; Acquire a voltage data mean value of the historical voltage data sequence, calculate a second difference absolute value between the voltage data at the current sampling moment and the voltage data mean value, and perform normalization processing on the second difference absolute value to obtain a second normalized value; The suspected abnormality degree of the voltage data at the current sampling moment is obtained according to the addition result of the first normalized value and the second normalized value.

[0029] In one embodiment, the calculation formula for constructing the suspected abnormality degree of the voltage data at the current sampling moment is:

[0030] Among them, R is the suspected abnormality degree of the voltage data at the current sampling moment; is the voltage data at the current sampling moment; is the voltage data at the previous sampling time before the current sampling time in the historical voltage data sequence, that is, the previous voltage data; is the mth voltage data in the historical voltage data sequence; m is the sequence number of the voltage data in the historical voltage data sequence; n is the number of voltage data in the historical voltage data sequence; | | is the absolute value symbol; norm() is the normalization processing function.

[0031] It should be noted that Indicates the difference between the voltage data at the current sampling moment and the voltage data at the previous sampling moment. The larger the value is, the more likely the voltage data at the current sampling moment is to have a risk of sudden change, and the greater the suspected abnormality of the voltage data at the current sampling moment. Indicates the difference between the voltage data at the current sampling moment and the mean value of the voltage data in the historical voltage data sequence. The larger the value is, the more likely the voltage data at the current sampling moment is to deviate from the normal fluctuation level of the historical voltage data, and the greater the suspected abnormality of the voltage data at the current sampling moment is.

[0032] After obtaining the suspected abnormality degree of the voltage data at the current sampling moment, a preliminary judgment can be made on the voltage data at the current sampling moment based on the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold to determine whether the voltage data at the current sampling moment is abnormal.

[0033] Specifically, when the suspected abnormality degree of the voltage data at the current sampling moment is greater than or equal to a preset suspected abnormality degree threshold, it is confirmed that the voltage data at the current sampling moment has a suspected abnormality; When the suspected abnormality degree of the voltage data at the current sampling moment is less than a preset suspected abnormality degree threshold, it is confirmed that there is no abnormality in the voltage data at the current sampling moment.

[0034] In one embodiment, the suspected abnormality threshold is set to 0.7, which is not limited here and can be set according to the specific implementation scenario. When the suspected abnormality of the voltage data at the current sampling moment is less than 0.7, it is confirmed that the voltage data at the current sampling moment is at a normal fluctuation level, and there is no abnormality in the voltage data at the current sampling moment, and there is no need to adjust the voltage data at the current sampling moment. When the suspected abnormality of the voltage data at the current sampling moment is greater than or equal to 0.7, it is confirmed that there is a suspected abnormality in the voltage data at the current sampling moment. At this time, it is necessary to further judge the abnormal situation at the current sampling moment. If the abnormality of the voltage data at the current sampling moment is caused by real voltage fluctuations, the voltage data at the current sampling moment is adjusted.

[0035] So far, the abnormal situation of the voltage data at the current sampling moment is obtained.

[0036] Step S103, when there is a suspected abnormality in the voltage data at the current sampling moment, the actual fluctuation degree of the voltage data at the current sampling moment is obtained according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the degree of correlation between the historical voltage data sequence and the historical current data sequence.

[0037] When confirming that there is a suspected abnormality in the voltage data at the current sampling moment, the real-time voltage data with abnormalities detected by the voltage sensor may be caused by real voltage fluctuations, such as the start and stop of large mechanical equipment or changes in load, which will cause voltage fluctuations in the power system. It is also possible that the voltage sensor is disturbed by the external environment such as electromagnetic interference, resulting in voltage data measurement errors. Therefore, it is necessary to determine whether the abnormality in the voltage data at the current sampling moment is caused by real voltage fluctuations, so as to adjust the voltage of the abnormality in the voltage data at the current sampling moment caused by the real voltage fluctuations. In this embodiment, the start and stop of the equipment refers to the start and stop of the equipment, not the complete stop and restart of the equipment.

[0038] Since electromagnetic interference usually causes random voltage fluctuations, which appear as irregular high-frequency noise, causing voltage data to rise or fall suddenly; and large-scale mechanical equipment usually has a fixed program to set its start and stop or load changes, which has a certain regularity, the fluctuation of voltage data caused by the start and stop or load changes of large-scale mechanical equipment is manifested as a low-frequency and regular fluctuation. Unlike electromagnetic interference, the voltage fluctuation caused by the start and stop of equipment usually lasts for a long time, and the amplitude changes relatively slowly, without rapid spikes. Therefore, the real fluctuation characteristic value of the historical voltage data sequence can be obtained based on the data fluctuation characteristics in the historical voltage data sequence, and the abnormal situation at the current sampling time can be judged based on the real fluctuation characteristic value of the historical voltage data sequence.

[0039] Among them, according to the data fluctuation characteristics in the historical voltage data sequence, the method for obtaining the real fluctuation characteristic value of the historical voltage data sequence is as follows: Specifically, a historical voltage data curve of the historical voltage data sequence is constructed, peak voltage data and valley voltage data in the historical voltage data curve are obtained, and for any peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, a first slope of a line connecting any peak voltage data and the valley voltage data adjacent to its left is obtained, a second slope of a line connecting any peak voltage data and the valley voltage data adjacent to its right is obtained, a difference between the first slope and the second slope is calculated, differences corresponding to all peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve are obtained, a first difference cumulative value is obtained accordingly, and a first inverse of the first difference cumulative value is obtained; Obtaining a time interval between a valley voltage data adjacent to the left of any of the peak voltage data and a valley voltage data adjacent to the right of any of the peak voltage data, recording it as the time interval corresponding to any of the peak voltage data, obtaining time intervals corresponding to all of the peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, and obtaining a first time interval mean value accordingly, obtaining the number of peak voltage data in the historical voltage data curve, recording it as a first number, and obtaining a second inverse of the first number accordingly, and obtaining a first product of the first time interval mean value and the second inverse number; Respectively obtaining the time intervals between every two adjacent peak voltage data in the historical voltage data curve to form a first time interval sequence, obtaining a first variance of the first time interval sequence, and obtaining a third inverse of the first variance; The real fluctuation characteristic value of the historical voltage data sequence is obtained according to the addition result of the first inverse, the first product and the third inverse.

[0040] In one embodiment, a historical voltage data curve of a historical voltage data sequence is constructed, wherein the horizontal axis of the historical voltage data curve is time and the vertical axis is voltage data. First, an AMPD peak detection algorithm is used to obtain peak voltage data and valley voltage data in the historical voltage data curve. The AMPD peak detection algorithm belongs to the prior art and is not described in detail here. Taking the i-th peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve as an example, the valley voltage data adjacent to the left of the i-th peak voltage data is obtained in the historical voltage data curve, and the slope of the line connecting the i-th peak voltage data and the valley voltage data adjacent to the left of the i-th peak voltage data is obtained, which is recorded as the first slope. , similarly, obtain the slope of the line connecting the ith peak voltage data and the valley voltage data adjacent to its right, recorded as the second slope; then obtain the time interval between the valley voltage data adjacent to the left of the ith peak voltage data and the valley voltage data adjacent to the right of the ith peak voltage data, recorded as the time interval corresponding to the ith peak voltage data, and obtain the number of peak voltage data in the historical voltage data curve, recorded as the first number; then obtain the time interval between every two adjacent peak voltage data in the historical voltage data sequence, form a first time interval sequence, and obtain the variance of the first time interval sequence, recorded as the first variance; finally, calculate the true fluctuation characteristic value of the historical voltage data sequence:

[0041] in, is the real fluctuation characteristic value of the historical voltage data series; is the first slope; is the second slope; i is the sequence number of the peak voltage data in the historical voltage data curve; is the first quantity (the quantity of peak voltage data in the historical voltage data curve); is the time interval corresponding to the i-th peak voltage data; is the first variance.

[0042] It should be noted that The smaller it is, the smaller the fluctuation degree of the i-th peak voltage data is, the smoother the amplitude change is, the more it conforms to the real fluctuation characteristics, and the larger the real fluctuation characteristic value of the historical voltage data sequence is; the time interval corresponding to the peak voltage data indicates the fluctuation time corresponding to the peak voltage data. The larger the time interval corresponding to the peak voltage data is, the smoother the fluctuation amplitude corresponding to the peak voltage data is. It represents the mean time interval corresponding to all the peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve. The larger it is, the larger the overall fluctuation interval in the historical voltage data sequence is, the smoother the overall fluctuation amplitude in the historical voltage data sequence is, the more it conforms to the real fluctuation characteristics, and the larger the real fluctuation characteristic value of the historical voltage data sequence is; the smaller the first quantity is, the lower the fluctuation frequency of the voltage data in the historical voltage data sequence is, the more it conforms to the real fluctuation characteristics, and the larger the real fluctuation characteristic value of the historical voltage data sequence is; the smaller the first variance is, the more similar the interval distance between the peak voltage data in the historical voltage data curve is, the stronger the regularity of the voltage data fluctuation in the historical voltage data sequence is, the more it conforms to the real fluctuation characteristics, and the larger the real fluctuation characteristic value of the historical voltage data sequence is.

[0043] However, when the load connected to the power system is suddenly disconnected or a short circuit occurs at the load connection, the voltage will also produce unstable and irregular violent fluctuations in a short period of time, which may be mistakenly evaluated as error fluctuations caused by sensor interference. Therefore, based only on the data fluctuation characteristics in the historical voltage data sequence, it is impossible to fully distinguish whether the abnormal voltage data at the current sampling moment is caused by real voltage fluctuations.

[0044] Since the real voltage fluctuation will cause the related fluctuation of the current, the data fluctuation before the current sampling time may have similar fluctuation characteristics, and the electromagnetic interference will interfere with the voltage and current, but the fluctuation changes of the voltage and current after the interference are different. Before the electromagnetic interference, the fluctuation changes of the voltage and current are absolutely similar, but if the electromagnetic interference is affected, the correlation between the two will be weakened due to the different degrees of influence on the two. Therefore, according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, the correlation characteristic degree of the historical voltage data sequence and the historical current data sequence can be obtained, and then the real fluctuation characteristic value of the historical voltage data sequence and the correlation characteristic degree of the historical voltage data sequence and the historical current data sequence can be combined to obtain the real fluctuation degree of the voltage data at the current sampling time, and judge the abnormal situation at the current sampling time.

[0045] Among them, according to the fluctuation characteristics of the historical voltage data series and the historical current data series, the method for obtaining the degree of correlation characteristics of the historical voltage data series and the historical current data series is as follows: (1) According to the data fluctuation characteristics in the historical current data sequence, a real fluctuation characteristic value of the historical current data sequence is obtained.

[0046] Specifically, a historical current data curve of the historical current data sequence is constructed, peak current data and valley current data in the historical current data curve are obtained, and for any peak current data except the first peak current data and the last peak current data in the historical current data curve, a third slope of a line connecting the any peak current data and the valley current data adjacent to the left thereof is obtained, a fourth slope of a line connecting the any peak current data and the valley current data adjacent to the right thereof is obtained, a difference between the third slope and the fourth slope is calculated, differences corresponding to all peak current data except the first peak current data and the last peak current data in the historical current data curve are obtained, a second difference accumulated value is obtained correspondingly, and a fourth inverse of the second difference accumulated value is obtained; Obtaining a time interval between a valley current data adjacent to the left of any peak current data and a valley current data adjacent to the right of any peak current data, recording it as the time interval corresponding to any peak current data, obtaining time intervals corresponding to all peak current data except the first peak current data and the last peak current data in the historical current data curve, and correspondingly obtaining a second time interval mean, obtaining the number of peak current data in the historical current data curve, recording it as a second number, and correspondingly obtaining a fifth reciprocal of the second number, and obtaining a second product of the second time interval mean and the fifth reciprocal; Respectively obtaining the time intervals between every two adjacent peak current data in the historical current data curve to form a second time interval sequence, obtaining a second variance of the second time interval sequence, and obtaining a sixth inverse of the second variance; The real fluctuation characteristic value of the historical current data sequence is obtained according to the addition result of the fourth inverse, the second product and the sixth inverse.

[0047] In one embodiment, a historical current data curve of a historical current data sequence is constructed, wherein the horizontal axis of the historical current data curve is time and the vertical axis is current data, and the real fluctuation characteristic value of the historical current data sequence is obtained according to the method for obtaining the real fluctuation characteristic value of the historical voltage data sequence mentioned above.

[0048] (2) Obtaining the degree of correlation between the historical voltage data sequence and the historical current data sequence according to the degree of correlation between the real fluctuation characteristic value of the historical voltage data sequence and the real fluctuation characteristic value of the historical current data sequence.

[0049] Specifically, the third absolute value of the difference between the true fluctuation characteristic value of the historical voltage data sequence and the true fluctuation characteristic value of the historical current data sequence is obtained, and the third absolute value of the difference is normalized to obtain the degree of correlation characteristics between the historical voltage data sequence and the historical current data sequence.

[0050] In one embodiment, the calculation formula for constructing the correlation characteristic degree of the historical voltage data sequence and the historical current data sequence is:

[0051] Where S is the degree of correlation between the historical voltage data series and the historical current data series; is the real fluctuation characteristic value of the historical voltage data series; is the real fluctuation characteristic value of the historical current data series; | | is the absolute value symbol; norm() is the normalization processing function.

[0052] It should be noted that The smaller it is, the greater the correlation between the historical voltage data sequence and the historical current data sequence. The less likely it is that the abnormal voltage data at the current sampling moment is caused by electromagnetic interference to the voltage sensor, and the greater the correlation characteristic between the historical voltage data sequence and the historical current data sequence.

[0053] Furthermore, the method for obtaining the real fluctuation degree of the voltage data at the current sampling moment is as follows, combining the real fluctuation characteristic value of the historical voltage data sequence and the correlation characteristic degree of the historical voltage data sequence and the historical current data sequence: The real fluctuation degree of the voltage data at the current sampling moment is obtained according to the product of the real fluctuation characteristic value of the historical voltage data sequence and the correlation characteristic degree.

[0054] In one embodiment, the calculation formula for constructing the actual fluctuation degree of the voltage data at the current sampling moment is:

[0055] Wherein, M is the actual fluctuation degree of the voltage data at the current sampling moment; S is the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence; is the true fluctuation characteristic value of the historical voltage data series.

[0056] It should be noted that, the larger the true fluctuation characteristic value of the historical voltage data sequence is, the more the anomaly in the voltage data at the current sampling moment conforms to the true fluctuation characteristic (i.e., the fluctuation characteristic of the voltage data caused by the start and stop of the equipment), and the greater the true fluctuation degree of the voltage data at the current sampling moment is; the greater the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence is, the greater the correlation degree between the historical voltage data sequence and the historical current data sequence is, the less likely it is that the anomaly in the voltage data at the current sampling moment is caused by electromagnetic interference to the voltage sensor, and the greater the true fluctuation degree of the voltage data at the current sampling moment is.

[0057] At this point, the actual fluctuation degree of the voltage data at the current sampling moment is obtained.

[0058] Step S104: If the actual fluctuation degree of the voltage data at the current sampling moment is greater than a preset actual fluctuation degree threshold, the voltage adjustment value at the current sampling moment is obtained according to the actual fluctuation degree of the voltage data at the current sampling moment, and the voltage data at the current sampling moment is adjusted according to the voltage adjustment value at the current sampling moment.

[0059] After obtaining the true fluctuation degree of the voltage data at the current sampling moment, the abnormal situation at the current sampling moment can be judged according to the true fluctuation degree of the voltage data at the current sampling moment. If the abnormality in the voltage data at the current sampling moment is caused by the real voltage fluctuation, it is necessary to adjust the voltage data at the current sampling moment to restore it to the standard voltage and restore the stability of the power system.

[0060] The real fluctuation degree threshold is set to 0.5, which is not limited here and can be set according to the specific implementation scenario. If the real fluctuation degree of the voltage data at the current sampling moment is less than or equal to 0.5, it is considered that the abnormality in the voltage data at the current sampling moment is caused by electromagnetic interference to the voltage sensor, and there is no need to adjust the voltage data at the current sampling moment.

[0061] If the actual fluctuation degree of the voltage data at the current sampling moment is greater than 0.5, it is considered that the abnormality in the voltage data at the current sampling moment is caused by the actual voltage fluctuation. At this time, it is necessary to obtain the voltage adjustment value at the current sampling moment according to the actual fluctuation degree of the voltage data at the current sampling moment, and then adjust the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment.

[0062] The method for obtaining the voltage adjustment value at the current sampling moment according to the actual fluctuation degree of the voltage data at the current sampling moment is as follows: Obtain the standard voltage of the power system, set the boundary value of the voltage data in the power system, the boundary value is divided into an upper boundary value and a lower boundary value, if the voltage data at the current sampling moment is greater than the standard voltage, record the upper boundary value as the target boundary value, calculate the absolute value of the difference between the standard voltage and the target boundary value, record it as the total voltage difference, calculate the absolute value of the difference between the voltage data at the current sampling moment and the target boundary value, record it as the boundary difference, obtain the absolute value of the difference between the total voltage difference and the boundary difference, record it as the maximum voltage regulation value, and obtain the voltage regulation value at the current sampling moment according to the product of the maximum voltage regulation value and the actual fluctuation degree of the voltage data at the current sampling moment.

[0063] In one embodiment, the standard voltage of the power system is first obtained. , set the upper boundary value of the voltage data in the power system to , the lower boundary value is , if the voltage data at the current sampling moment is greater than the standard voltage , the upper boundary value is recorded as the target boundary value; then the voltage regulation value at the current sampling moment is calculated according to the difference between the standard voltage and the target boundary value, the difference between the voltage data at the current sampling moment and the target boundary value, and the actual fluctuation degree of the voltage data at the current sampling moment:

[0064] Wherein, W is the voltage regulation value at the current sampling moment; is the standard voltage of the power system; V is the target boundary value; is the voltage data at the current sampling moment; M is the actual fluctuation degree of the voltage data at the current sampling moment; | | is the absolute value symbol.

[0065] It should be noted that Indicates the boundary difference between the voltage data at the current sampling moment and the target boundary value, The smaller it is, the closer the voltage data at the current sampling moment is to the target boundary value, that is, the more the voltage data at the current sampling moment deviates from the standard voltage, the more the voltage data at the current sampling moment needs to be called back, and the larger the voltage adjustment value at the current sampling moment; It means calling back the voltage data at the current sampling time to the maximum voltage adjustment value of the standard voltage. The larger M is, the greater the voltage adjustment value at the current sampling moment is; the larger M is, the more abnormal the voltage data at the current sampling moment is, the more the voltage data at the current sampling moment needs to be called back, and the greater the voltage adjustment value at the current sampling moment is.

[0066] Furthermore, since the voltage data at the current sampling moment is greater than the standard voltage, the voltage data at the current sampling moment needs to be adjusted down. Specifically, the difference between the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment is obtained. As the adjusted voltage data.

[0067] If the voltage data at the current sampling moment is less than the standard voltage, the lower boundary value is recorded as the target boundary value, the absolute value of the difference between the standard voltage and the target boundary value is calculated and recorded as the total voltage difference, the absolute value of the difference between the voltage data at the current sampling moment and the target boundary value is calculated and recorded as the boundary difference, the absolute value of the difference between the total voltage difference and the boundary difference is obtained and recorded as the maximum voltage adjustment value, and the voltage adjustment value at the current sampling moment is obtained according to the product of the maximum voltage adjustment value and the actual fluctuation degree of the voltage data at the current sampling moment.

[0068] In one embodiment, if the voltage data at the current sampling time is less than the standard voltage , then the lower boundary value is recorded as the target boundary value, and the voltage adjustment value at the current sampling moment is obtained according to the above method for obtaining the voltage adjustment value at the current sampling moment. Since the voltage data at the current sampling moment is less than the standard voltage Therefore, it is necessary to increase the voltage data at the current sampling moment. Specifically, the sum of the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment is obtained. As the adjusted voltage data.

[0069] The four-in-one terminal monitors and analyzes the voltage data in the power system in real time. When there is an abnormality in the voltage data at the current sampling moment, and the abnormality in the voltage data at the current sampling moment is caused by real voltage fluctuations (that is, the voltage data at the current sampling moment is abnormal due to the start and stop of equipment), the four-in-one terminal uses the voltage adjustment value obtained at the current sampling moment to complete the adjustment of the voltage data at the current sampling moment, restore it to the standard voltage, and enhance the stability of the power system.

[0070] In summary, the embodiment of the present invention obtains voltage data and current data of the power system at each sampling moment, and forms a historical voltage data sequence and a historical current data sequence with historical voltage data and historical current data within a preset time range before the current sampling moment respectively; obtains the suspected abnormality degree of the voltage data at the current sampling moment according to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence, and judges whether the voltage data at the current sampling moment has a suspected abnormality according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold; when the voltage data at the current sampling moment has a suspected abnormality, obtains the real fluctuation degree of the voltage data at the current sampling moment according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence; if the real fluctuation degree of the voltage data at the current sampling moment is greater than the preset real fluctuation degree threshold, obtains the voltage adjustment value at the current sampling moment according to the real fluctuation degree of the voltage data at the current sampling moment, and adjusts the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment. Among them, firstly, the suspected abnormality degree of the voltage data at the current sampling moment is obtained to make a preliminary judgment on the voltage data at the current sampling moment. When the voltage data at the current sampling moment is suspected to be abnormal, the real fluctuation degree of the voltage data at the current sampling moment is obtained according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence, and the possibility that the suspected abnormality of the voltage data at the current sampling moment is caused by load short circuit or disconnection or load start and stop of large mechanical equipment is judged, so as to reduce the problem of voltage over-regulation caused by abnormal voltage data due to electromagnetic interference; then, according to the real fluctuation degree of the voltage data at the current sampling moment, the voltage adjustment value at the current sampling moment is obtained, and the voltage data at the current sampling moment is adjusted accordingly in time, so that the adjustment of the voltage data at the current sampling moment is more accurate and will not cause the problem of voltage over-regulation.

[0071] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. A voltage analysis and adjustment method for a four-in-one terminal, characterized in that: The method includes: Acquire voltage data and current data of the power system at each sampling moment, and form historical voltage data and historical current data within a preset time range before the current sampling moment into a historical voltage data sequence and a historical current data sequence respectively; According to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence, the suspected abnormality degree of the voltage data at the current sampling moment is obtained, and according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold, whether the voltage data at the current sampling moment has a suspected abnormality is determined; When there is a suspected abnormality in the voltage data at the current sampling moment, the actual fluctuation degree of the voltage data at the current sampling moment is obtained according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the degree of correlation between the historical voltage data sequence and the historical current data sequence; If the actual fluctuation degree of the voltage data at the current sampling moment is greater than a preset actual fluctuation degree threshold, the voltage adjustment value at the current sampling moment is obtained according to the actual fluctuation degree of the voltage data at the current sampling moment, and the voltage data at the current sampling moment is adjusted according to the voltage adjustment value at the current sampling moment.

2. A voltage analysis and adjustment method for a four-in-one terminal according to claim 1, characterized in that: The step of judging whether the voltage data at the current sampling moment has a suspected abnormality according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold comprises: When the suspected abnormality degree of the voltage data at the current sampling moment is greater than or equal to a preset suspected abnormality degree threshold, confirming that the voltage data at the current sampling moment has a suspected abnormality; When the suspected abnormality degree of the voltage data at the current sampling moment is less than a preset suspected abnormality degree threshold, it is confirmed that there is no abnormality in the voltage data at the current sampling moment.

3. A voltage analysis and adjustment method for a four-in-one terminal according to claim 1, characterized in that: After obtaining the real fluctuation degree of the voltage data at the current sampling moment according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence, the method further includes: If the actual fluctuation degree of the voltage data at the current sampling moment is less than or equal to a preset actual fluctuation degree threshold, there is no need to adjust the voltage data at the current sampling moment.

4. A voltage analysis and adjustment method for a four-in-one terminal according to claim 1, characterized in that: The obtaining, according to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence, the suspected abnormality degree of the voltage data at the current sampling moment comprises: Obtaining voltage data at a sampling moment before the current sampling moment in the historical voltage data sequence, recording the voltage data as the previous voltage data, obtaining a first absolute value of a difference between the voltage data at the current sampling moment and the previous voltage data, and normalizing the first absolute value of the difference to obtain a first normalized value; Acquire a voltage data mean value of the historical voltage data sequence, calculate a second difference absolute value between the voltage data at the current sampling moment and the voltage data mean value, and perform normalization processing on the second difference absolute value to obtain a second normalized value; The suspected abnormality degree of the voltage data at the current sampling moment is obtained according to the addition result of the first normalized value and the second normalized value.

5. A voltage analysis and adjustment method for a four-in-one terminal according to claim 1, characterized in that: The acquiring the real fluctuation degree of the voltage data at the current sampling moment according to the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, and the correlation degree between the historical voltage data sequence and the historical current data sequence, comprises: According to the data fluctuation characteristics in the historical voltage data sequence, obtaining a real fluctuation characteristic value of the historical voltage data sequence; According to the data fluctuation characteristics in the historical current data sequence, obtaining a real fluctuation characteristic value of the historical current data sequence; According to the correlation degree between the real fluctuation characteristic value of the historical voltage data sequence and the real fluctuation characteristic value of the historical current data sequence, obtaining the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence; The real fluctuation degree of the voltage data at the current sampling moment is obtained according to the product of the real fluctuation characteristic value of the historical voltage data sequence and the correlation characteristic degree.

6. A voltage analysis and adjustment method for a four-in-one terminal according to claim 5, characterized in that: The step of obtaining a real fluctuation characteristic value of the historical voltage data sequence according to the data fluctuation characteristic in the historical voltage data sequence includes: Constructing a historical voltage data curve of the historical voltage data sequence, obtaining peak voltage data and valley voltage data in the historical voltage data curve, obtaining a first slope of a line connecting any peak voltage data and valley voltage data adjacent to its left for any peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, obtaining a second slope of a line connecting any peak voltage data and valley voltage data adjacent to its right, calculating a difference between the first slope and the second slope, obtaining differences corresponding to all peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, obtaining a first difference cumulative value correspondingly, and obtaining a first inverse of the first difference cumulative value; Obtaining a time interval between a valley voltage data adjacent to the left of any of the peak voltage data and a valley voltage data adjacent to the right of any of the peak voltage data, recording it as the time interval corresponding to any of the peak voltage data, obtaining time intervals corresponding to all of the peak voltage data except the first peak voltage data and the last peak voltage data in the historical voltage data curve, and obtaining a first time interval mean value accordingly, obtaining the number of peak voltage data in the historical voltage data curve, recording it as a first number, and obtaining a second inverse of the first number accordingly, and obtaining a first product of the first time interval mean value and the second inverse number; Respectively obtaining the time intervals between every two adjacent peak voltage data in the historical voltage data curve to form a first time interval sequence, obtaining a first variance of the first time interval sequence, and obtaining a third inverse of the first variance; The real fluctuation characteristic value of the historical voltage data sequence is obtained according to the addition result of the first inverse, the first product and the third inverse.

7. A voltage analysis and adjustment method for a four-in-one terminal according to claim 5, characterized in that: The step of obtaining a real fluctuation characteristic value of the historical current data sequence according to the data fluctuation characteristic in the historical current data sequence includes: Constructing a historical current data curve of the historical current data sequence, obtaining peak current data and valley current data in the historical current data curve, obtaining a third slope of a line connecting any peak current data and valley current data adjacent to its left for any peak current data except the first peak current data and the last peak current data in the historical current data curve, obtaining a fourth slope of a line connecting any peak current data and valley current data adjacent to its right, calculating a difference between the third slope and the fourth slope, obtaining differences corresponding to all peak current data except the first peak current data and the last peak current data in the historical current data curve, obtaining a corresponding second difference accumulated value, and obtaining a fourth reciprocal of the second difference accumulated value; Obtaining a time interval between a valley current data adjacent to the left of any peak current data and a valley current data adjacent to the right of any peak current data, recording it as the time interval corresponding to any peak current data, obtaining time intervals corresponding to all peak current data except the first peak current data and the last peak current data in the historical current data curve, and correspondingly obtaining a second time interval mean, obtaining the number of peak current data in the historical current data curve, recording it as a second number, and correspondingly obtaining a fifth reciprocal of the second number, and obtaining a second product of the second time interval mean and the fifth reciprocal; Respectively obtaining the time intervals between every two adjacent peak current data in the historical current data curve to form a second time interval sequence, obtaining a second variance of the second time interval sequence, and obtaining a sixth inverse of the second variance; The real fluctuation characteristic value of the historical current data sequence is obtained according to the addition result of the fourth inverse, the second product and the sixth inverse.

8. A voltage analysis and adjustment method for a four-in-one terminal according to claim 5, characterized in that: The obtaining the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence according to the correlation degree between the real fluctuation characteristic value of the historical voltage data sequence and the real fluctuation characteristic value of the historical current data sequence comprises: The third absolute value of the difference between the real fluctuation characteristic value of the historical voltage data sequence and the real fluctuation characteristic value of the historical current data sequence is obtained, and the third absolute value of the difference is normalized to obtain the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence.

9. A voltage analysis and adjustment method for a four-in-one terminal according to claim 1, characterized in that: The step of obtaining the voltage adjustment value at the current sampling moment according to the actual fluctuation degree of the voltage data at the current sampling moment includes: Obtain the standard voltage of the power system, set the boundary value of the voltage data in the power system, the boundary value is divided into an upper boundary value and a lower boundary value, if the voltage data at the current sampling moment is greater than the standard voltage, the upper boundary value is recorded as the target boundary value, if the voltage data at the current sampling moment is less than the standard voltage, the lower boundary value is recorded as the target boundary value, calculate the absolute value of the difference between the standard voltage and the target boundary value, record it as the total voltage difference, calculate the absolute value of the difference between the voltage data at the current sampling moment and the target boundary value, record it as the boundary difference, obtain the absolute value of the difference between the total voltage difference and the boundary difference, record it as the maximum voltage regulation value, and obtain the voltage regulation value at the current sampling moment according to the product of the maximum voltage regulation value and the actual fluctuation degree of the voltage data at the current sampling moment.

10. A voltage analysis and adjustment method for a four-in-one terminal according to claim 9, characterized in that: The step of adjusting the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment includes: If the voltage data at the current sampling moment is greater than the standard voltage, obtaining a difference between the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment as the adjusted voltage data; If the voltage data at the current sampling moment is less than the standard voltage, the sum of the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment is obtained as the adjusted voltage data.

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