A voltage analysis and regulation method for a four-in-one fusion terminal

Abstract

The present invention relates to the technical field of data processing, and particularly to a voltage analysis and regulation method for a four-in-one integrated terminal. The method includes the following steps: obtaining voltage data and current data of a power system to obtain a historical voltage data sequence and a historical current data sequence; obtaining the suspected abnormality degree of the voltage data at the current sampling moment, and determining whether there is a suspected abnormality in the voltage data at the current sampling moment; when there is a suspected abnormality in the voltage data at the current sampling moment, obtaining the true fluctuation degree of the voltage data at the current sampling moment; if the true fluctuation degree is greater than a preset true fluctuation degree threshold, obtaining a voltage regulation value according to the true fluctuation degree, and regulating the voltage data at the current sampling moment. The present invention makes the regulation of the voltage data at the current sampling moment more accurate and does not cause the problem of over-regulation of the voltage.

Description

Technical Field

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

[0002] A four-in-one integrated terminal refers to an electric energy measurement and control terminal that integrates all photovoltaic four-in-one devices, is based on a circuit breaker, and combines an interface converter and a current transformer, and has functions of observable, measurable, controllable, and adjustable. It is applicable to autonomous energy at the edge of the distribution area, photovoltaic four-in-one management, compliance regulation, and digital construction of the distribution area. The four-in-one integrated terminal can realize the measurement, monitoring, and analysis of electric energy, use the recorded wave data of the metering chip to complete functions such as harmonic acquisition, 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 for the four-in-one integrated terminal to perform 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 incorrect judgment caused by human factors can be reduced. The automatic analysis and adjustment can perform precise control based on real-time data and reduce the risk brought by human intervention.

[0003] The prior art usually uses the means of threshold monitoring to automatically adjust the voltage and makes adjustments after the occurrence of over-threshold voltage. However, the response speed of making adjustments after the occurrence of over-threshold voltage is slow, which may lead to an increase in harmonics in the power system, distortion of current and voltage waveforms, thereby increasing harmonic pollution, affecting the normal operation of the four-in-one integrated terminal, and increasing the operation burden of the four-in-one integrated terminal; if the frequency of making adjustments after the occurrence of over-threshold voltage is too high, it will also cause greater losses to the four-in-one integrated terminal and have an unstable impact on the power system. Moreover, the occurrence of over-threshold voltage may also be caused by electromagnetic interference on the sensor. At this time, when making adjustments, there may be a problem of over-adjusting the voltage.

[0004] Therefore, how to use the four-in-one integrated 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 a four-in-one integrated terminal to solve the problem of how to use the four-in-one integrated terminal to accurately analyze the 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 integrated terminal, and the method includes:

[0007] Obtain the voltage data and current data of the power system at each sampling moment, and respectively form a historical voltage data sequence and a historical current data sequence from the historical voltage data and historical current data within a preset time range before the current sampling moment;

[0008] According to the difference between the voltage data at the current sampling moment and the historical voltage data in the historical voltage data sequence, obtain the suspected abnormality degree of the voltage data at the current sampling moment. According to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold, determine whether there is a suspected abnormality in the voltage data at the current sampling moment;

[0009] When there is a suspected abnormality in the voltage data at the current sampling moment, then 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, obtain the true fluctuation degree of the voltage data at the current sampling moment;

[0010] If the true fluctuation degree of the voltage data at the current sampling moment is greater than a preset true fluctuation degree threshold, then according to the true fluctuation degree of the voltage data at the current sampling moment, obtain the voltage adjustment value at the current sampling moment, and adjust the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment.

[0011] Preferably, the determining whether there is a suspected abnormality in the voltage data at the current sampling moment according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold includes:

[0012] When the suspected abnormality degree of the voltage data at the current sampling moment is greater than or equal to the preset suspected abnormality degree threshold, confirm that there is a suspected abnormality in the voltage data at the current sampling moment;

[0013] When the suspected abnormality degree of the voltage data at the current sampling moment is less than the preset suspected abnormality degree threshold, confirm that there is no abnormality in the voltage data at the current sampling moment.

[0014] Preferably, after obtaining the true 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, it further includes:

[0015] If the true fluctuation degree of the voltage data at the current sampling moment is less than or equal to the preset true fluctuation degree threshold, then there is no need to adjust the voltage data at the current sampling moment.

[0016] 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:

[0017] Obtain the voltage data at the previous sampling moment of the current sampling moment in the historical voltage data sequence, denoted as the previous voltage data, obtain the absolute value of the first difference between the voltage data at the current sampling moment and the previous voltage data, and perform normalization processing on the absolute value of the first difference to obtain a first normalized value;

[0018] Obtain the average value of the voltage data in the historical voltage data sequence, calculate the absolute value of the second difference between the voltage data at the current sampling moment and the average value of the voltage data, and perform normalization processing on the absolute value of the second difference to obtain a second normalized value;

[0019] According to the addition result of the first normalized value and the second normalized value, obtain the suspected abnormality degree of the voltage data at the current sampling moment.

[0020] Preferably, obtaining the true 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 includes:

[0021] According to the data fluctuation characteristics in the historical voltage data sequence, obtain the true fluctuation characteristic value of the historical voltage data sequence;

[0022] According to the data fluctuation characteristics in the historical current data sequence, obtain the true fluctuation characteristic value of the historical current data sequence;

[0023] According to the correlation degree between the true fluctuation characteristic value of the historical voltage data sequence and the true fluctuation characteristic value of the historical current data sequence, obtain the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence;

[0024] According to the product of the true fluctuation characteristic value of the historical voltage data sequence and the correlation characteristic degree, obtain the true fluctuation degree of the voltage data at the current sampling moment.

[0025] Preferably, obtaining the true fluctuation characteristic value of the historical voltage data sequence according to the data fluctuation characteristics in the historical voltage data sequence includes:

[0026] Construct the historical voltage data curve of the historical voltage data sequence, obtain the peak voltage data and valley voltage data in the historical voltage data curve. For any peak voltage data in the historical voltage data curve except the first peak voltage data and the last peak voltage data, obtain the first slope of the line connecting the any peak voltage data and the valley voltage data adjacent to it on the left, obtain the second slope of the line connecting the any peak voltage data and the valley voltage data adjacent to it on the right, calculate the difference between the first slope and the second slope, obtain the differences corresponding to all peak voltage data in the historical voltage data curve except the first peak voltage data and the last peak voltage data, correspondingly obtain the first cumulative value of the differences, and obtain the first reciprocal of the first cumulative value of the differences;

[0027] Obtain the time interval between the valley voltage data adjacent to the any peak voltage data on the left and the valley voltage data adjacent to the any peak voltage data on the right, denote it as the time interval corresponding to the any peak voltage data, obtain the time intervals corresponding to all peak voltage data in the historical voltage data curve except the first peak voltage data and the last peak voltage data, correspondingly obtain the first time interval mean value, obtain the number of peak voltage data in the historical voltage data curve, denote it as the first number, correspondingly obtain the second reciprocal of the first number, and obtain the first product of the first time interval mean value and the second reciprocal;

[0028] Respectively obtain the time intervals between every two adjacent peak voltage data in the historical voltage data curve to form a first time interval sequence, obtain the first variance of the first time interval sequence, and obtain the third reciprocal of the first variance;

[0029] According to the addition result of the first reciprocal, the first product and the third reciprocal, obtain the true fluctuation characteristic value of the historical voltage data sequence.

[0030] Preferably, the obtaining the true fluctuation characteristic value of the historical current data sequence according to the data fluctuation characteristics in the historical current data sequence includes:

[0031] Construct the historical current data curve of the historical current data sequence, obtain the peak current data and the trough current data in the historical current data curve. For any peak current data in the historical current data curve except the first peak current data and the last peak current data, obtain the third slope of the line connecting the any peak current data and the trough current data adjacent to it on the left, obtain the fourth slope of the line connecting the any peak current data and the trough current data adjacent to it on the right, calculate the difference between the third slope and the fourth slope, obtain the differences corresponding to all peak current data in the historical current data curve except the first peak current data and the last peak current data, correspondingly obtain the second difference accumulation value, and obtain the fourth reciprocal of the second difference accumulation value;

[0032] Obtain the time interval between the trough current data adjacent to the any peak current data on the left and the trough current data adjacent to the any peak current data on the right, denote it as the time interval corresponding to the any peak current data, obtain the time intervals corresponding to all peak current data in the historical current data curve except the first peak current data and the last peak current data, correspondingly obtain the second time interval mean value, obtain the number of peak current data in the historical current data curve, denote it as the second number, correspondingly obtain the fifth reciprocal of the second number, and obtain the second product of the second time interval mean value and the fifth reciprocal;

[0033] Respectively obtain the time intervals between every two adjacent peak current data in the historical current data curve, form a second time interval sequence, obtain the second variance of the second time interval sequence, and obtain the sixth reciprocal of the second variance;

[0034] According to the addition result of the fourth reciprocal, the second product and the sixth reciprocal, obtain the true fluctuation characteristic value of the historical current data sequence.

[0035] Preferably, 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 true fluctuation characteristic value of the historical voltage data sequence and the true fluctuation characteristic value of the historical current data sequence includes:

[0036] Obtain the absolute value of the third 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, and perform normalization processing on the absolute value of the third difference to obtain the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence.

[0037] Preferably, the obtaining the voltage adjustment value at the current sampling moment according to the true fluctuation degree of the voltage data at the current sampling moment includes:

[0038] Obtain the standard voltage of the power system, and set the boundary values of the voltage data in the power system. The boundary values are 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, then record the upper boundary value as the target boundary value. If the voltage data at the current sampling moment is less than the standard voltage, then record the lower boundary value as the target boundary value. Calculate the absolute value of the difference between the standard voltage and the target boundary value, and 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, and record it as the boundary difference. Obtain the absolute value of the difference between the total voltage difference and the boundary difference, and record it as the maximum voltage adjustment value. Obtain the voltage adjustment value at the current sampling moment according to the product of the maximum voltage adjustment value and the true fluctuation degree of the voltage data at the current sampling moment.

[0039] Preferably, adjusting the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment includes:

[0040] If the voltage data at the current sampling moment is greater than the standard voltage, then obtain the 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;

[0041] If the voltage data at the current sampling moment is less than the standard voltage, then obtain the sum of the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment as the adjusted voltage data.

[0042] The beneficial effects of the embodiments of the present invention compared with the prior art are:

[0043] The present invention obtains voltage data and current data of a power system at each sampling moment, and respectively forms a historical voltage data sequence and a historical current data sequence from the historical voltage data and the historical current data within a preset time range before 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, the suspected abnormal degree of the voltage data at the current sampling moment is obtained, and according to the suspected abnormal degree of the voltage data at the current sampling moment and a preset suspected abnormal degree threshold, it is judged whether the voltage data at the current sampling moment has a suspected abnormality; when the voltage data at the current sampling moment has a suspected abnormality, then 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 true fluctuation degree of the voltage data at the current sampling moment is obtained; if the true fluctuation degree of the voltage data at the current sampling moment is greater than a preset true fluctuation degree threshold, then according to the true fluctuation degree of the voltage data at the current sampling moment, the voltage adjustment value at the current sampling moment is obtained, and according to the voltage adjustment value at the current sampling moment, the voltage data at the current sampling moment is adjusted. Among them, first, the suspected abnormal 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 has a suspected abnormality, 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 true fluctuation degree of the voltage data at the current sampling moment is obtained, and it is judged whether the suspected abnormality of the voltage data at the current sampling moment is caused by load short - circuit or open - circuit or the start - stop of large mechanical equipment loads, reducing the problem of over - regulation of voltage caused by abnormal voltage data due to electromagnetic interference; then, according to the true 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 in a timely manner accordingly, making the adjustment accuracy of the voltage data at the current sampling moment higher and not causing the problem of over - regulation of voltage. Brief Description of the Drawings

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the following - described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 It is a flowchart of a voltage analysis and adjustment method for a four - in - one fusion terminal provided in Embodiment 1 of the present invention. Detailed Embodiment

[0046] Embodiments of the present disclosure will be described in detail below. 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 explain the present disclosure, and should not be construed as limiting the present disclosure.

[0047] It should be noted that the terms "first", "second", etc. in the specification of the present disclosure and the above-mentioned accompanying drawings are used to distinguish similar objects and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present disclosure described here can be implemented in an order other than those illustrated or described here. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure.

[0048] In order to illustrate the technical solution of the present invention, specific embodiments will be used for illustration below.

[0049] An embodiment of the present invention provides a voltage analysis and adjustment method for a four-in-one fusion terminal, as Figure 1 shown. The method includes the following steps:

[0050] Step S101: Obtain voltage data and current data of the power system at each sampling moment, and respectively form a historical voltage data sequence and a historical current data sequence from the historical voltage data and historical current data within a preset time range before the current sampling moment.

[0051] In the power system, the four-in-one fusion terminal uses voltage sensors and current sensors to monitor voltage data and current data in real time, 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 and the sampling moments within the preset time range are in a continuous relationship, but not within the preset time range. In this embodiment, the acquisition frequencies of the current sensor and the voltage sensor are 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 formed into a historical voltage data sequence and a historical current data sequence. There is no limitation here, and it can be set according to specific implementation scenarios.

[0052] Step S102: Obtain 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 judge whether there is a suspected abnormality in the voltage data at the current sampling moment according to the suspected abnormality degree of the voltage data at the current sampling moment and a preset suspected abnormality degree threshold.

[0053] In order to automatically analyze and adjust the voltage data of the power system using a four-in-one integrated terminal, the existing technology usually uses threshold monitoring to automatically adjust the voltage and makes adjustments after a voltage exceeding the threshold occurs. However, the response speed of making adjustments after a voltage exceeding the threshold occurs is slow, which may lead to an increase in harmonics in the power system, distortion of current and voltage waveforms, thereby increasing harmonic pollution, affecting the normal operation of the four-in-one integrated terminal, and increasing the operation burden of the four-in-one integrated terminal. Moreover, the occurrence of a voltage exceeding the threshold may also be caused by electromagnetic interference on the sensor. In this case, when making adjustments, problems such as over-regulation of the voltage may occur.

[0054] 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, by judging whether the voltage data at the current sampling moment is abnormal, adjustments are made in a timely manner when the voltage data at the current sampling moment is abnormal.

[0055] Since the difference between the voltage data at the current sampling moment and the voltage data at the previous sampling moment of the current sampling moment can reflect the change situation of the voltage data, the greater the change in the voltage data, the more likely the voltage data at the current sampling moment is abnormal. However, the voltage data at the previous sampling moment of the current sampling moment itself may be abnormal voltage, and the average value of the voltage data in 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 it is judged 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.

[0056] Among them, the specific method for 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 data sequence is as follows:

[0057] Obtain the voltage data at the previous sampling moment of the current sampling moment in the historical voltage data sequence, denoted as the previous voltage data, obtain the absolute value of the first difference between the voltage data at the current sampling moment and the previous voltage data, and perform normalization processing on the absolute value of the first difference to obtain a first normalized value;

[0058] Obtain the average value of the voltage data in the historical voltage data sequence, calculate the absolute value of the second difference between the voltage data at the current sampling moment and the average value of the voltage data, and perform normalization processing on the absolute value of the second difference to obtain a second normalized value;

[0059] According to the addition result of the first normalized value and the second normalized value, obtain the suspected abnormality degree of the voltage data at the current sampling moment.

[0060] In one embodiment, the calculation formula for the suspected abnormality degree of the voltage data at the current sampling moment is as follows:

[0061]

[0062] where 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 moment of the current sampling moment in the historical voltage data sequence, that is, the previous voltage data; is the m-th voltage data in the historical voltage data sequence; m is the serial 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.

[0063] It should be noted that represents the degree of difference between the voltage data at the current sampling moment and the voltage data at the previous sampling moment of the current sampling moment, the larger it is, the more likely the voltage data at the current sampling moment is to have a mutation risk, and the greater the suspected abnormality degree of the voltage data at the current sampling moment; represents the degree of difference between the voltage data at the current sampling moment and the average value of the voltage data in the historical voltage data sequence, the larger it 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 degree of the voltage data at the current sampling moment.

[0064] After obtaining the suspected abnormality degree of the voltage data at the current sampling moment, it is possible to make a preliminary judgment on the voltage data at the current sampling moment according to the suspected abnormality degree of the voltage data at the current sampling moment and the preset suspected abnormality degree threshold, and determine whether the voltage data at the current sampling moment is abnormal.

[0065] Specifically, when the suspected abnormality degree of the voltage data at the current sampling moment is greater than or equal to the preset suspected abnormality degree threshold, it is confirmed that the voltage data at the current sampling moment has a suspected abnormality;

[0066] When the suspected abnormality degree of the voltage data at the current sampling moment is less than the preset suspected abnormality degree threshold, it is confirmed that the voltage data at the current sampling moment is not abnormal.

[0067] In one embodiment, a suspected anomaly degree threshold is set to 0.7. This is not limited here and can be set according to specific implementation scenarios. When the suspected anomaly degree 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 the normal fluctuation level, and there is no anomaly in the voltage data at the current sampling moment, and it is not necessary to adjust the voltage data at the current sampling moment. When the suspected anomaly degree 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 anomaly in the voltage data at the current sampling moment. At this time, it is necessary to further judge the anomaly situation at the current sampling moment. If the anomaly in the voltage data at the current sampling moment is caused by a real voltage fluctuation, then the voltage data at the current sampling moment is adjusted.

[0068] Thus, the anomaly situation of the voltage data at the current sampling moment is obtained.

[0069] Step S103, when there is a suspected anomaly in the voltage data at the current sampling moment, then 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, obtain the real fluctuation degree of the voltage data at the current sampling moment.

[0070] When it is confirmed that there is a suspected anomaly in the voltage data at the current sampling moment, since the real-time voltage data monitored by the voltage sensor with anomalies may be caused by real voltage fluctuations, such as the start and stop of large mechanical equipment or the change of load, which will cause voltage fluctuations in the power system, or it may also be caused by measurement errors of the voltage data due to external environmental interference of the voltage sensor, such as electromagnetic interference. Therefore, it is necessary to judge whether the anomaly in the voltage data at the current sampling moment is caused by a real voltage fluctuation, so as to adjust the voltage of the anomaly in the voltage data at the current sampling moment caused by the real voltage fluctuation. In this embodiment, the start and stop of the equipment refers to the start of the equipment to work and the stop of the equipment, rather than completely stopping the operation of the equipment and restarting it.

[0071] Since electromagnetic interference usually causes random voltage fluctuations, manifested as non-regular high-frequency noise, resulting in sudden increases or decreases in voltage data; while large mechanical equipment usually has its start and stop or load changes set by a fixed program, with a certain regularity. Therefore, the voltage fluctuations caused by the start and stop or load changes of large mechanical equipment are manifested as lower-frequency and regular fluctuations. Different from electromagnetic interference, the voltage fluctuations caused by equipment start and stop usually last for a longer time, and the amplitude change is relatively gentle, without rapid spikes. Therefore, according to the data fluctuation characteristics in the historical voltage data sequence, the real fluctuation characteristic value of the historical voltage data sequence can be obtained, and based on the real fluctuation characteristic value of the historical voltage data sequence, the anomaly situation at the current sampling moment can be judged.

[0072] Among them, the method for obtaining the true fluctuation characteristic value of the historical voltage data sequence according to the data fluctuation characteristics in the historical voltage data sequence is as follows:

[0073] Specifically, construct the historical voltage data curve of the historical voltage data sequence, obtain the peak voltage data and valley voltage data in the historical voltage data curve. For any peak voltage data in the historical voltage data curve except the first peak voltage data and the last peak voltage data, obtain the first slope of the line connecting the any peak voltage data and the valley voltage data adjacent to it on the left, obtain the second slope of the line connecting the any peak voltage data and the valley voltage data adjacent to it on the right, calculate the difference between the first slope and the second slope, obtain the differences corresponding to all peak voltage data in the historical voltage data curve except the first peak voltage data and the last peak voltage data, correspondingly obtain the first cumulative value of the differences, and obtain the first reciprocal of the first cumulative value;

[0074] Obtain the time interval between the valley voltage data adjacent to the any peak voltage data on the left and the valley voltage data adjacent to the any peak voltage data on the right, record it as the time interval corresponding to the any peak voltage data, obtain the time intervals corresponding to all peak voltage data in the historical voltage data curve except the first peak voltage data and the last peak voltage data, correspondingly obtain the first time interval mean value, obtain the number of peak voltage data in the historical voltage data curve, record it as the first number, correspondingly obtain the second reciprocal of the first number, and obtain the first product of the first time interval mean value and the second reciprocal;

[0075] Respectively obtain the time intervals between every two adjacent peak voltage data in the historical voltage data curve, form a first time interval sequence, obtain the first variance of the first time interval sequence, and obtain the third reciprocal of the first variance;

[0076] According to the addition result of the first reciprocal, the first product and the third reciprocal, obtain the true fluctuation characteristic value of the historical voltage data sequence.

[0077] In one embodiment, a historical voltage data curve of a historical voltage data sequence is constructed, where the abscissa of the historical voltage data curve is time and the ordinate is voltage data. First, the AMPD peak detection algorithm is used to obtain the peak voltage data and valley voltage data in the historical voltage data curve. The AMPD peak detection algorithm belongs to the prior art and will not be elaborated here. Taking the i-th peak voltage data in the historical voltage data curve except the first and the last peak voltage data as an example, the valley voltage data adjacent to it on the left 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 it on the left is obtained and denoted as the first slope. Similarly, the slope of the line connecting the i-th peak voltage data and the valley voltage data adjacent to it on the right is obtained and denoted as the second slope; then the time interval between the valley voltage data adjacent to the i-th peak voltage data on the left and the valley voltage data adjacent to the i-th peak voltage data on the right is obtained and denoted as the time interval corresponding to the i-th peak voltage data, and the number of peak voltage data in the historical voltage data curve is obtained and denoted as the first quantity; then the time intervals between every two adjacent peak voltage data in the historical voltage data sequence are respectively obtained to form a first time interval sequence, and the variance of the first time interval sequence is obtained and denoted as the first variance; finally, the true fluctuation characteristic value of the historical voltage data sequence is calculated:

[0078]

[0079] Wherein, is the true fluctuation characteristic value of the historical voltage data sequence; is the first slope; is the second slope; i is the serial number of the peak voltage data in the historical voltage data curve; is the first quantity (the number 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.

[0080] It should be noted that, The smaller the value is, the smaller the fluctuation degree of the i-th peak voltage data is, the gentler the amplitude change is, and the more it conforms to the true fluctuation characteristic, and the larger the true fluctuation characteristic value of the historical voltage data sequence is; the time interval corresponding to the peak voltage data represents the fluctuation time corresponding to the peak voltage data. The larger the time interval corresponding to the peak voltage data is, the gentler the fluctuation amplitude corresponding to the peak voltage data is. represents the average value of the time intervals corresponding to all peak voltage data in the historical voltage data curve except the first and the last peak voltage data. The larger it is, the larger the overall interval of fluctuations in the historical voltage data sequence, the smoother the overall fluctuation amplitude in the historical voltage data sequence, the more in line with the true fluctuation characteristics, and the larger the true fluctuation characteristic value of the historical voltage data sequence; the smaller the first quantity, the lower the fluctuation frequency of the voltage data in the historical voltage data sequence, the more in line with the true fluctuation characteristics, and the larger the true fluctuation characteristic value of the historical voltage data sequence; the smaller the first variance, the more similar the interval distances between the peak voltage data in the historical voltage data curve, the stronger the regularity of the voltage data fluctuation in the historical voltage data sequence, the more in line with the true fluctuation characteristics, and the larger the true fluctuation characteristic value of the historical voltage data sequence.

[0081] However, when the load connected to the power system suddenly disconnects or a short circuit occurs at the load connection point, the voltage will also generate unstable and irregular violent fluctuations in a short period of time, which may be misjudged as error fluctuations caused by sensor interference. Therefore, only based on the data fluctuation characteristics in the historical voltage data sequence, it is not possible to fully distinguish whether the abnormality of the voltage data at the current sampling moment is caused by real voltage fluctuations.

[0082] Since real voltage fluctuations will cause related fluctuations in current, there may be similar fluctuation characteristics in the data fluctuations before the current sampling moment. Electromagnetic interference will interfere with voltage and current, but the fluctuation changes of voltage and current after interference are different. Before being affected by electromagnetic interference, the fluctuation changes of voltage and current are absolutely similar. However, when affected by electromagnetic interference, due to different degrees of influence on the two, the correlation between the two will become weaker. Therefore, based on the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence, the degree of correlation characteristics between the historical voltage data sequence and the historical current data sequence can be obtained. Furthermore, by combining the true fluctuation characteristic value of the historical voltage data sequence and the degree of correlation characteristics between the historical voltage data sequence and the historical current data sequence, the true fluctuation degree of the voltage data at the current sampling moment can be obtained to judge the abnormal situation at the current sampling moment.

[0083] Among them, the method for obtaining the degree of correlation characteristics between the historical voltage data sequence and the historical current data sequence based on the fluctuation characteristics of the historical voltage data sequence and the historical current data sequence is as follows:

[0084] (1) Obtain the true fluctuation characteristic value of the historical current data sequence according to the data fluctuation characteristics in the historical current data sequence.

[0085] Specifically, construct the historical current data curve of the historical current data sequence, obtain the peak current data and the trough current data in the historical current data curve. For any peak current data in the historical current data curve except the first peak current data and the last peak current data, obtain the third slope of the line connecting the any peak current data and the trough current data adjacent to it on the left, obtain the fourth slope of the line connecting the any peak current data and the trough current data adjacent to it on the right, calculate the difference between the third slope and the fourth slope, obtain the differences corresponding to all peak current data in the historical current data curve except the first peak current data and the last peak current data, correspondingly obtain the second difference accumulation value, and obtain the fourth reciprocal of the second difference accumulation value;

[0086] Obtain the time interval between the trough current data adjacent to the any peak current data on the left and the trough current data adjacent to the any peak current data on the right, denote it as the time interval corresponding to the any peak current data, obtain the time intervals corresponding to all peak current data in the historical current data curve except the first peak current data and the last peak current data, correspondingly obtain the second time interval mean value, obtain the number of peak current data in the historical current data curve, denote it as the second number, correspondingly obtain the fifth reciprocal of the second number, and obtain the second product of the second time interval mean value and the fifth reciprocal;

[0087] Respectively obtain the time intervals between every two adjacent peak current data in the historical current data curve, form a second time interval sequence, obtain the second variance of the second time interval sequence, and obtain the sixth reciprocal of the second variance;

[0088] According to the addition result of the fourth reciprocal, the second product and the sixth reciprocal, obtain the true fluctuation characteristic value of the historical current data sequence.

[0089] In an embodiment, construct the historical current data curve of the historical current data sequence, where the abscissa of the historical current data curve is time and the ordinate is current data, and obtain the true fluctuation characteristic value of the historical current data sequence according to the method for obtaining the true fluctuation characteristic value of the above historical voltage data sequence.

[0090] (2) According to the correlation degree between the true fluctuation characteristic value of the historical voltage data sequence and the true fluctuation characteristic value of the historical current data sequence, obtain the correlation characteristic degree between the historical voltage data sequence and the historical current data sequence.

[0091] Specifically, obtain the absolute value of the third difference between the true fluctuation eigenvalue of the historical voltage data sequence and the true fluctuation eigenvalue of the historical current data sequence, and perform normalization processing on the absolute value of the third difference to obtain the degree of correlation between the historical voltage data sequence and the historical current data sequence.

[0092] In one embodiment, the calculation formula for constructing the degree of correlation between the historical voltage data sequence and the historical current data sequence is:

[0093]

[0094] where S is the degree of correlation between the historical voltage data sequence and the historical current data sequence; is the true fluctuation eigenvalue of the historical voltage data sequence; is the true fluctuation eigenvalue of the historical current data sequence; | | is the absolute value symbol; norm() is the normalization processing function.

[0095] It should be noted that the smaller, the greater the degree of correlation between the historical voltage data sequence and the historical current data sequence, and the less likely it is that the abnormal voltage data at the current sampling moment is caused by electromagnetic interference on the voltage sensor, and the greater the degree of correlation between the historical voltage data sequence and the historical current data sequence.

[0096] Furthermore, a method for obtaining the true fluctuation degree of the voltage data at the current sampling moment by combining the true fluctuation eigenvalue of the historical voltage data sequence and the degree of correlation between the historical voltage data sequence and the historical current data sequence is as follows:

[0097] Obtain the true fluctuation degree of the voltage data at the current sampling moment according to the product of the true fluctuation eigenvalue of the historical voltage data sequence and the degree of correlation.

[0098] In one embodiment, the calculation formula for constructing the true fluctuation degree of the voltage data at the current sampling moment is:

[0099]

[0100] where M is the true fluctuation degree of the voltage data at the current sampling moment; S is the degree of correlation between the historical voltage data sequence and the historical current data sequence; is the true fluctuation eigenvalue of the historical voltage data sequence.

[0101] It should be noted that the larger the true fluctuation eigenvalue of the historical voltage data sequence, the more the abnormality existing in the voltage data at the current sampling moment conforms to the true fluctuation characteristics (i.e., the fluctuation characteristics of the voltage data caused by equipment start and stop), and the greater the true fluctuation degree of the voltage data at the current sampling moment; the greater the degree of correlation between the historical voltage data sequence and the historical current data sequence, the greater the degree of correlation between the historical voltage data sequence and the historical current data sequence, and the less likely the abnormality existing in the voltage data at the current sampling moment is caused by electromagnetic interference of the voltage sensor, and the greater the true fluctuation degree of the voltage data at the current sampling moment.

[0102] Thus, the true fluctuation degree of the voltage data at the current sampling moment is obtained.

[0103] Step S104, if the true fluctuation degree of the voltage data at the current sampling moment is greater than a preset true fluctuation degree threshold, then according to the true fluctuation degree of the voltage data at the current sampling moment, obtain the voltage adjustment value at the current sampling moment, and adjust the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment.

[0104] After obtaining the true fluctuation degree of the voltage data at the current sampling moment, it is possible to judge the abnormal situation at the current sampling moment according to the true fluctuation degree of the voltage data at the current sampling moment. If the abnormality existing in the voltage data at the current sampling moment is caused by a true voltage fluctuation, then 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.

[0105] Set the true fluctuation degree threshold to 0.5. There is no limitation here and it can be set according to the specific implementation scenario. If the true 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 existing in the voltage data at the current sampling moment is an abnormality caused by electromagnetic interference of the voltage sensor, and it is not necessary to adjust the voltage data at the current sampling moment.

[0106] If the true fluctuation degree of the voltage data at the current sampling moment is greater than 0.5, it is considered that the abnormality existing in the voltage data at the current sampling moment is caused by a true voltage fluctuation. At this time, it is necessary to obtain the voltage adjustment value at the current sampling moment according to the true 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.

[0107] Among them, the method of obtaining the voltage adjustment value at the current sampling moment according to the true fluctuation degree of the voltage data at the current sampling moment is as follows:

[0108] Obtain the standard voltage of the power system, set the boundary values of the voltage data in the power system, where the boundary values are 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, then 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, denoted 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, denoted as the boundary difference. Obtain the absolute value of the difference between the total voltage difference and the boundary difference, denoted as the maximum voltage adjustment value. Obtain the voltage adjustment value at the current sampling moment based on the product of the maximum voltage adjustment value and the true fluctuation degree of the voltage data at the current sampling moment.

[0109] In one embodiment, first obtain the standard voltage of the power system , set the upper boundary value of the voltage data in the power system as , and the lower boundary value as . If the voltage data at the current sampling moment is greater than the standard voltage , then record the upper boundary value as the target boundary value; then, based on 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 true fluctuation degree of the voltage data at the current sampling moment, calculate the voltage adjustment value at the current sampling moment:

[0110]

[0111] where W is the voltage adjustment 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 true fluctuation degree of the voltage data at the current sampling moment; | | is the absolute value symbol.

[0112] It should be noted that represents the boundary difference between the voltage data at the current sampling moment and the target boundary value. The smaller 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 adjusted back, and the greater the voltage adjustment value at the current sampling moment; represents the maximum voltage adjustment value for adjusting the voltage data at the current sampling moment back to the standard voltage.

[0113] Further, since the voltage data at the current sampling moment is greater than the standard voltage, it is necessary to reduce the voltage data at the current sampling moment. Specifically, obtain the difference between the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment, and use as the adjusted voltage data.

[0114] If the voltage data at the current sampling moment is less than the standard voltage, then record the lower boundary value as the target boundary value, calculate the absolute value of the difference between the standard voltage and the target boundary value, denoted 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, denoted as the boundary difference, obtain the absolute value of the difference between the total voltage difference and the boundary difference, denoted as the maximum voltage adjustment value, and obtain the voltage adjustment value at the current sampling moment according to the product of the maximum voltage adjustment value and the true fluctuation degree of the voltage data at the current sampling moment.

[0115] In an embodiment, if the voltage data at the current sampling moment is less than the standard voltage , then record the lower boundary value as the target boundary value, and obtain the voltage adjustment value at the current sampling moment 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 , it is necessary to increase the voltage data at the current sampling moment. Specifically, obtain the sum of the voltage data at the current sampling moment and the voltage adjustment value at the current sampling moment, and use as the adjusted voltage data.

[0116] The four-in-one fusion terminal monitors and analyzes the voltage data in the power system in real time. When the voltage data at the current sampling moment is abnormal and the abnormality in the voltage data at the current sampling moment is caused by real voltage fluctuations (i.e., the abnormality in the voltage data at the current sampling moment caused by equipment start-stop), the four-in-one fusion terminal uses the obtained voltage adjustment value at the current sampling moment to complete the adjustment of the voltage data at the current sampling moment, so that it is restored to the standard voltage, enhancing the stability of the power system.

[0117] In summary, the embodiments of the present invention obtain voltage data and current data of a power system at each sampling moment, and respectively form a historical voltage data sequence and a historical current data sequence from the historical voltage data and historical current data within a preset time range before 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, obtain the suspected abnormality degree of the voltage data at the current sampling moment, and judge 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, then 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, obtain the true fluctuation degree of the voltage data at the current sampling moment; if the true fluctuation degree of the voltage data at the current sampling moment is greater than a preset true fluctuation degree threshold, then according to the true fluctuation degree of the voltage data at the current sampling moment, obtain the voltage adjustment value at the current sampling moment, and adjust the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment. Among them, first, 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 shows a suspected abnormality, 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, obtain the true fluctuation degree of the voltage data at the current sampling moment, and judge the possibility that the suspected abnormality of the voltage data at the current sampling moment is caused by a load short circuit or open circuit or the start and stop of a large mechanical equipment load, reducing the problem of over-voltage adjustment of voltage data caused by electromagnetic interference; then, according to the true fluctuation degree of the voltage data at the current sampling moment, obtain the voltage adjustment value at the current sampling moment, and timely adjust the voltage data at the current sampling moment accordingly, so that the accuracy of adjusting the voltage data at the current sampling moment is higher and the problem of over-voltage adjustment will not be caused.

[0118] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all 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, 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, and adjusting the voltage data at the current sampling moment according to the voltage adjustment value at the current sampling moment; 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: 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; obtaining a true fluctuation characteristic value of the historical voltage data sequence according to the addition result of the first inverse, the first product and the third inverse; 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.

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 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.

6. A voltage analysis and adjustment method for a four-in-one terminal according to claim 1, 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.

7. 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.

8. A voltage analysis and adjustment method for a four-in-one terminal according to claim 7, 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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