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CN116184100A - Calibration method and device for power quality of power grid - Google Patents

Calibration method and device for power quality of power grid Download PDF

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CN116184100A
CN116184100A CN202310467829.1A CN202310467829A CN116184100A CN 116184100 A CN116184100 A CN 116184100A CN 202310467829 A CN202310467829 A CN 202310467829A CN 116184100 A CN116184100 A CN 116184100A
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CN116184100B (en
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梁哲恒
崔磊
曾纪钧
张金波
龙震岳
沈佳泉
裴求根
沈伍强
张小陆
周纯
周昉昉
李凯
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Guangdong Power Grid Co Ltd
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Abstract

The invention provides a calibration method for power quality of a power grid, wherein a plurality of monitoring points are arranged on a three-phase power transmission line of the power grid at equal intervals, and monitoring data of each monitoring point are synchronously acquired, specifically, three-phase voltage wave peak values, three-phase voltage wave trough values and three-phase frequency values; calculating voltage deviation and frequency deviation of each phase according to the sampled three-phase voltage wave peak value, the three-phase voltage trough value and the three-phase frequency value; calculating the quality index of the monitoring point by utilizing the voltage deviation and the frequency deviation of the monitoring point, and comparing the quality index of the monitoring point with a preset threshold value to judge whether the electric energy quality data of the monitoring point is stable or not; when the power quality data of the adjacent monitoring points are all judged to be stable, the fluctuation of the quality indexes of the monitoring points is utilized to judge whether the power quality of the power transmission line is compliant.

Description

Calibration method and device for power quality of power grid
Technical Field
The invention relates to a calibration method and device for power quality of a power grid, and belongs to the field of power quality data processing.
Background
In the growing market competition, the electric energy quality of the power grid is more and more focused by power supply departments and power consumers; the quality of the electric energy directly affects the electric power benefit and the national economic benefit.
Along with the development of a power system, the electric energy quality of each node of the whole power grid is different; the power quality consists of a plurality of quality contents, and each power quality needs to be comprehensively evaluated to know the power quality condition of the whole power grid; along with the marketization of electric power and the transparency of electric energy quality, a plurality of different electric energy quality indexes and the electric energy quality of each node should be comprehensively analyzed so as to meet the needs of electric power users.
Disclosure of Invention
The invention aims to provide a calibration method for power quality of a power grid aiming at the current situation of power quality analysis of the existing power grid, comprehensively evaluates the power quality of the power grid, acquires the power quality of different monitoring points on a power transmission line by utilizing a plurality of different power quality parameters, and comprehensively analyzes the power quality of different monitoring points on the power transmission line to meet the requirements of power users.
The technical scheme adopted by the invention is as follows:
the power quality calibration method for the power grid is characterized by comprising the following steps of:
step 1: i monitoring points are arranged on a three-phase transmission line of a power grid at equal intervals, and monitoring data of each monitoring point are synchronously acquired; the monitoring data comprises three-phase voltage wave peak values of monitoring points
Figure SMS_2
、
Figure SMS_6
、
Figure SMS_8
Three-phase voltage trough value->
Figure SMS_1
、
Figure SMS_5
、
Figure SMS_7
Three-phase frequency value->
Figure SMS_9
、
Figure SMS_3
、
Figure SMS_4
。
Step 2: calculating corresponding voltage deviation and frequency deviation according to the sampled three-phase voltage wave peak value, the three-phase voltage trough value and the three-phase frequency value; the voltage deviation calculation formula is:
Figure SMS_10
，
Figure SMS_11
，
Figure SMS_12
the method comprises the steps of carrying out a first treatment on the surface of the The frequency deviation calculation formula is:
Figure SMS_13
，
Figure SMS_14
，
Figure SMS_15
。
Step 3: calculating quality index of monitoring point by using voltage deviation and frequency deviation of monitoring point
Figure SMS_16
，
Figure SMS_17
The method comprises the steps of carrying out a first treatment on the surface of the And the quality index of the monitoring point is +.>
Figure SMS_18
And comparing the power quality data with a preset threshold value to judge whether the power quality data of the monitoring point is stable or not.
Step 4: when the power quality data of the adjacent monitoring points are all judged to be stable, the fluctuation of the quality indexes of the monitoring points is utilized to judge whether the power quality of the power transmission line is compliant.
Further, wherein i is the number of monitoring points,
Figure SMS_19
；
Figure SMS_23
，
Figure SMS_25
，
Figure SMS_20
the voltage deviation of the ith monitoring point A, B, C three phases is respectively;
Figure SMS_24
，
Figure SMS_26
，
Figure SMS_27
The frequency deviation of the ith monitoring point A, B, C three phases is respectively;
Figure SMS_21
The quality index of the ith monitoring point;
Figure SMS_22
Is a theoretical frequency value.
Further, in the step 1,
Figure SMS_28
and->
Figure SMS_29
For peaks and troughs in the same period of A, +.>
Figure SMS_30
And
Figure SMS_31
for peaks and troughs in the same period of B, +.>
Figure SMS_32
And->
Figure SMS_33
Peaks and troughs in the same cycle as C.
Further, in the step 1,
Figure SMS_34
for the average of the multiple periodic peaks of phase A, < >>
Figure SMS_35
Is the average value of a plurality of period wave troughs of phase A, and the same applies ≡>
Figure SMS_36
、
Figure SMS_37
Mean value of multiple periodic peaks or troughs of B phase, +.>
Figure SMS_38
、
Figure SMS_39
Is the average of the peaks or troughs of the C phase in multiple cycles.
Further, in step 1, data preprocessing is performed to remove coarse errors in the sampled data.
In step 3, the quality index of the monitoring point is calculated
Figure SMS_40
Comparing with a preset threshold value to judge whether the electric energy quality data of the monitoring point is stable, specifically:
Figure SMS_41
And judging that the electric energy quality data of the monitoring point is stable, or else, the electric energy quality data of the monitoring point is unstable.
In step 4, when the power quality data of the adjacent monitoring points are all determined to be stable, determining whether the power quality of the power transmission line is compliant by utilizing the fluctuation of the quality indexes of the monitoring points, specifically: when the power quality data of the adjacent 10 monitoring points are all judged to be stable, calculating the expected quality indexes of the 10 monitoring points
Figure SMS_42
Sum of variances->
Figure SMS_43
If the quality indexes of the 10 monitoring points all meet +.>
Figure SMS_44
And judging the power quality compliance of the power transmission line, otherwise, judging the power quality compliance of the power transmission line.
In step 4, when the power quality data of a plurality of adjacent monitoring points are all determinedWhen stable, utilize the volatility of these a plurality of monitoring point quality index to judge whether the electric energy quality of power transmission line is compliance, specifically do: when the power quality data of the adjacent 10 monitoring points are all judged to be stable, the maximum value of the quality indexes in the 10 monitoring points is obtained
Figure SMS_45
And minimum->
Figure SMS_46
If the following are
Figure SMS_47
And if the threshold value is preset, judging that the power quality of the power transmission line is compliant, otherwise, not compliant.
In step 1, i monitoring points are arranged on a three-phase transmission line of a power grid at equal intervals, wherein the interval is greater than or equal to the interval
Figure SMS_48
；
Figure SMS_49
Is->
Figure SMS_50
。
Further, the method comprises a device for executing the calibration method of the power quality of the power grid, wherein the device comprises a plurality of terminal monitoring devices, a communication station and a data processing center; the terminal monitoring equipment is connected with the monitoring points in a one-to-one correspondence manner and is used for synchronously acquiring the monitoring data of each monitoring point; the plurality of terminal monitoring devices are communicated with the data processing center through the communication station and are used for monitoring the transmission of data; the data processing center calculates corresponding voltage deviation and frequency deviation according to the sampled three-phase voltage wave peak value, the three-phase voltage trough value and the three-phase frequency value; the data processing center calculates the quality index of the monitoring point by utilizing the voltage deviation and the frequency value deviation of the monitoring point
Figure SMS_51
The method comprises the steps of carrying out a first treatment on the surface of the The data processing center is used for enabling quality indexes of monitoring points to be +.>
Figure SMS_52
Comparing the power quality data with a preset threshold value to judge whether the power quality data of the monitoring point is stable or not; when the power quality data of the adjacent monitoring points are all judged to be stable, the fluctuation of the quality indexes of the monitoring points is utilized to judge whether the power quality of the power transmission line is compliant.
Compared with the prior art, the calibration method for the power quality of the power grid has the following advantages:
according to the method, voltage deviation and frequency deviation of the three-phase power transmission line of the power distribution network are comprehensively considered, a specific quality index is constructed and used for representing whether the power quality data of the monitoring points are stable or not, and then whether the power quality of the power transmission line is compliant or not is judged according to the fluctuation of the quality indexes of the monitoring points on the power transmission line so as to comprehensively, truly and naturally reflect the power quality performance of the power transmission line; meanwhile, compared with the prior art, the method utilizes the actual voltage and the theoretical voltage of a single sampling point to calculate the voltage deviation, and utilizes the three-phase voltage wave peak value and the three-phase voltage wave trough value to calculate the voltage deviation, so that partial accidental factor interference can be counteracted, and more accurate voltage deviation can be obtained; therefore, in judging whether the electric energy quality of the transmission line is in compliance, not only a plurality of parameter indexes of the three-phase transmission line are considered, but also the fluctuation of quality indexes among different monitoring points is considered, so that the judgment is more accurate and reliable.
Drawings
Fig. 1 is a flow chart of a calibration method of the power quality of the power grid of the present invention.
Fig. 2 is a diagram of a device for detecting the power quality of a power grid according to the present invention.
Reference numerals: 100 is a terminal monitoring device, 200 is a communication station, and 300 is a data processing center.
Detailed Description
The present invention will be described in detail with reference to specific examples.
The application discloses a calibration method for power quality of a power grid, as shown in fig. 1.
The embodiment provides a calibration method for power quality of a power grid, which comprises the following steps:
step 1: in the three phases of the electric networkI monitoring points are arranged on the power transmission line at equal intervals, and monitoring data of each monitoring point are synchronously acquired; the monitoring data comprises three-phase voltage wave peak values of monitoring points
Figure SMS_55
、
Figure SMS_57
、
Figure SMS_60
Three-phase voltage trough value->
Figure SMS_54
、
Figure SMS_58
、
Figure SMS_59
Three-phase frequency value->
Figure SMS_61
、
Figure SMS_53
、
Figure SMS_56
。
Because the power transmission line of the power grid is inevitably interfered by various factors, the transmission distance of the power transmission line is longer, the interference of different positions is different, and i monitoring points are arranged on the three-phase power transmission line of the power grid at equal intervals in order to obtain the power quality conditions of different positions; because the monitoring points will generate interference in the sampling process, in order to avoid the related interference between different monitoring points, the distance between the monitoring points can be selected to be more than or equal to
Figure SMS_62
。
As known by the power system of China, the alternating current frequency in the power transmission line of the power grid is
Figure SMS_64
And is electrically connected toThe instantaneous value of pressure is usually expressed as +.>
Figure SMS_66
A is amplitude, w=2pi f=100deg.pi, and the sum of the corresponding peak value and trough value of A, B, C three phases is 0 in theory; in order to ensure the signal uniformity, the wave crest and the wave trough in the same period are selected as corresponding wave crest values +.>
Figure SMS_69
、
Figure SMS_65
、
Figure SMS_67
And the valley value->
Figure SMS_68
、
Figure SMS_70
、
Figure SMS_63
。
To prevent single sample error interference, select
Figure SMS_71
Is the average value of the peak sampling values of a plurality of periods of phase A,
Figure SMS_72
for the average value of the sampled values of a plurality of period troughs of phase A, the same applies ≡>
Figure SMS_73
、
Figure SMS_74
For the average value of the peak sampling value or the trough sampling value of a plurality of periods of the B phase, +.>
Figure SMS_75
、
Figure SMS_76
Is the average value of the peak sampling value or the trough sampling value of a plurality of periods of the C phase.
Step 2: calculating corresponding voltage deviation and frequency deviation according to the sampled three-phase voltage wave peak value, the three-phase voltage trough value and the three-phase frequency value; the voltage deviation calculation formula is:
Figure SMS_77
，
Figure SMS_78
，
Figure SMS_79
the method comprises the steps of carrying out a first treatment on the surface of the The frequency deviation calculation formula is:
Figure SMS_80
，
Figure SMS_81
，
Figure SMS_82
。
In the prior art, the voltage deviation is calculated by utilizing the actual voltage and the theoretical voltage of a single sampling point, and the voltage deviation is easily interfered by accidental factors; the three-phase voltage wave peak value and the voltage wave trough value are also interfered by accidental factors, but the three-phase voltage wave peak value and the voltage wave trough value are synchronously changed, and in theory, the voltage wave peak value and the voltage wave trough value are equal in size and opposite in sign, and the sum of the voltage wave peak value and the voltage wave trough value is zero, so that partial accidental factor interference can be counteracted; therefore, in order to reduce accidental factor interference as much as possible, when an accurate voltage deviation value is obtained, three-phase voltage deviation is calculated by selecting and utilizing a three-phase voltage wave peak value and a three-phase voltage wave trough value, and data accuracy can be obviously improved.
Step 3: calculating quality index of monitoring point by using voltage deviation and frequency deviation of monitoring point
Figure SMS_83
，
Figure SMS_84
And the quality index of the monitoring point is +.>
Figure SMS_85
And comparing the power quality data with a preset threshold value to judge whether the power quality data of the monitoring point is stable or not.
Since the power quality data of each monitoring point comprises three-phase data, in order to calculate the quality index of the corresponding monitoring point, the corresponding contribution quantity is calculated according to the voltage deviation and the frequency deviation of each phase, for example, the A-phase contribution quantity is as follows
Figure SMS_98
The B phase contribution is->
Figure SMS_92
The contribution of C phase is->
Figure SMS_97
The method comprises the steps of carrying out a first treatment on the surface of the In calculating a certain phase contribution, the phase data is selected to be removed from the denominator in order to reduce interference caused by the phase, so that
Figure SMS_93
，
Figure SMS_99
，
Figure SMS_102
Calculating three-phase contribution; when the power grid is not disturbed by any disturbance, the ideal state is +.>
Figure SMS_103
The method comprises the steps of carrying out a first treatment on the surface of the Calculate->
Figure SMS_88
，
Figure SMS_100
，
Figure SMS_86
，
Figure SMS_94
，
Figure SMS_89
，
Figure SMS_101
Are all 0, and the +.A calculation formula can be obtained according to the quality index of the monitoring point>
Figure SMS_91
=3; however, the actual power grid transmission line is inevitably interfered by various factors, and the quality index is +.>
Figure SMS_95
Cannot be 3, but when the quality index is +.>
Figure SMS_90
When the deviation from 3 is too large, the voltage deviation or the frequency deviation is reflected substantially, and the electric energy quality of the corresponding monitoring point is poor; through a plurality of experiments and data analysis, it is found that when +.>
Figure SMS_96
When the deviation between the power quality data and the monitoring point is within 3 x 10%, the power quality data of the monitoring point is reliable and stable, the interference is less, when the deviation between the power quality data and the monitoring point exceeds 3 x 10%, the power quality data of the monitoring point is more interfered, the voltage deviation or the frequency deviation is larger, the data is unstable and reliable, and the power quality compliance judgment of the subsequent power transmission line is not facilitated; on the basis, in order to facilitate judging the stable condition of the electric energy quality data of the monitoring point, the method specifically uses +.>
Figure SMS_87
And judging that the electric energy quality data of the monitoring points are stable, otherwise, the electric energy quality data of the monitoring points are unstable, and reflecting the electric energy quality data of the transmission line to be unstable.
When the power quality data of a plurality of adjacent monitoring points are all judged to be stable, judging whether the power quality of the power transmission line is compliant or not by utilizing the fluctuation of the quality indexes of the plurality of monitoring points; the larger the fluctuation is, the worse the corresponding power quality of the power transmission line is, the smaller the fluctuation is, and the higher the corresponding power quality of the power transmission line is.
When the power quality data of a plurality of adjacent monitoring points are all judged to be stable, the plurality of monitoring points are utilizedThe fluctuation of the quality indexes of the monitoring points judges whether the electric energy quality of the transmission line is compliant or not, and specifically comprises the following steps: selecting the power quality data of the adjacent 10 monitoring points to judge, judging stability when the power quality data of the adjacent 10 monitoring points are stable, and calculating the expectation of the quality indexes of the 10 monitoring points
Figure SMS_104
Sum of variances->
Figure SMS_105
If the quality indexes of the 10 monitoring points all meet +.>
Figure SMS_106
And judging the power quality compliance of the power transmission line, otherwise, judging the power quality compliance of the power transmission line.
When the electric energy quality data of a plurality of adjacent monitoring points are all judged to be stable, the fluctuation of the quality indexes of the plurality of monitoring points is utilized to judge whether the electric energy quality of the power transmission line is compliant or not, specifically: selecting the power quality data of the adjacent 10 monitoring points to judge, and obtaining the maximum value of the quality indexes in the 10 monitoring points when the power quality data of the adjacent 10 monitoring points are judged to be stable
Figure SMS_107
And minimum->
Figure SMS_108
If it is->
Figure SMS_109
If the threshold is preset, judging that the electric energy quality of the transmission line is compliant, otherwise, not compliant; maximum value of quality index in monitoring point +.>
Figure SMS_110
And minimum->
Figure SMS_111
And when the difference is smaller, the power quality of the power transmission line is more standard, and a preset threshold value is specifically set to be 0.1 according to the test result.
When the power quality data of a plurality of adjacent monitoring points are all judged to be stable, judging whether the power quality of the power transmission line is compliant or not by utilizing the fluctuation of the quality indexes of the plurality of monitoring points; in order to more accurately judge whether the power quality of the power transmission line is in compliance, more monitoring points can be selected for judgment, and the number of adjacent monitoring points can be selected to be more than 10, such as 11, 12, 13.
Meanwhile, in order to acquire the electric energy quality of the power transmission line with compliance, when the fluctuation of the quality indexes of the plurality of monitoring points is utilized to judge that the electric energy quality of the power transmission line is not compliance, repeated judgment is carried out for a plurality of times, and if the electric energy quality of the power transmission line is still judged to be not compliance, corresponding power grid adjustment strategies are formulated according to the three-phase voltage deviation and the frequency deviation of each monitoring point and the fluctuation of the quality indexes of the adjacent plurality of monitoring points so as to enable the electric energy quality of the power transmission line to be compliance.
The application discloses a calibration method device of power quality of a power grid, as shown in fig. 2, the device comprises a plurality of terminal monitoring devices 100, a communication station 200 and a data processing center 300; the terminal monitoring equipment 100 is connected with the three-phase power transmission line monitoring points in a one-to-one correspondence manner and is used for synchronously acquiring the monitoring data of each monitoring point; the plurality of terminal monitoring devices are communicated with the data processing center through the communication station and are used for monitoring the transmission of data; the data processing center calculates corresponding voltage deviation and frequency deviation according to the sampled three-phase voltage wave peak value, the three-phase voltage trough value and the three-phase frequency value; the data processing center calculates the quality index of the monitoring point by utilizing the voltage deviation and the frequency value deviation of the monitoring point
Figure SMS_112
The method comprises the steps of carrying out a first treatment on the surface of the The data processing center is used for enabling quality indexes of monitoring points to be +.>
Figure SMS_113
Comparing the power quality data with a preset threshold value to judge whether the power quality data of the monitoring point is stable or not; when the power quality data of the adjacent monitoring points are all judged to be stable, the fluctuation of the quality indexes of the monitoring points is utilized to judge whether the power quality of the power transmission line is compliant.
The terminal monitoring device 100 is respectively connected with three phases of the power transmission line and is used for collecting voltage values, current values and frequency values of the A, B, C three phases; the terminal monitoring device 100 comprises a processor, a wireless communication module, a self-checking module, a time setting module, a calibration module, a positioning module, an alarm module, a protection module and a corresponding detection module; the detection module is used for acquiring parameters such as corresponding voltage values, current values, frequency values and the like, and the processor module is used for receiving the sampling values and analyzing and processing the sampling values to acquire three-phase voltage wave peak values, three-phase voltage wave trough values and three-phase frequency values; the data transmission is then transmitted to the data processing center 300 via the communication station 200 using the wireless communication module; the time setting module is used for ensuring the synchronism of sampling data of all monitoring points, the positioning module is used for facilitating timely positioning and replacement when the terminal monitoring equipment 100 fails, and the self-checking module is used for carrying out periodic self-checking on the terminal monitoring equipment 100 so as to avoid invalid data transmission.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.

Claims (10)

1. A calibration method for the power quality of a power grid is characterized by comprising the following steps of: step 1: i monitoring points are arranged on a three-phase transmission line of a power grid at equal intervals, and monitoring data of each monitoring point are synchronously acquired; the monitoring data comprises three-phase voltage wave peak values of monitoring points
Figure QLYQS_1
、
Figure QLYQS_6
、
Figure QLYQS_8
Three-phase voltage trough value->
Figure QLYQS_3
、
Figure QLYQS_4
、
Figure QLYQS_7
Three-phase frequency value
Figure QLYQS_9
、
Figure QLYQS_2
、
Figure QLYQS_5
；
Step 2: calculating voltage deviation and frequency deviation of each phase according to the three-phase voltage wave peak value, the three-phase voltage trough value and the three-phase frequency value of the monitoring point; the voltage deviation calculation formula is:
Figure QLYQS_10
，
Figure QLYQS_11
，
Figure QLYQS_12
Figure QLYQS_13
；
the frequency deviation calculation formula is:
Figure QLYQS_14
，
Figure QLYQS_15
，
Figure QLYQS_16
；
step 3: calculating quality index of monitoring point by using voltage deviation and frequency deviation of monitoring point
Figure QLYQS_17
，
Figure QLYQS_18
The method comprises the steps of carrying out a first treatment on the surface of the And the quality index of the monitoring point is +.>
Figure QLYQS_19
Comparing the power quality data with a preset threshold value to judge whether the power quality data of the monitoring point is stable or not;
step 4: when the power quality data of the adjacent monitoring points are all judged to be stable, judging whether the power quality of the power transmission line is compliant or not by utilizing the fluctuation of the quality indexes of the monitoring points;
wherein i is the number of the monitoring points,
Figure QLYQS_20
the voltage deviation of the ith monitoring point A, B, C three phases is respectively;
Figure QLYQS_21
The frequency deviation of the ith monitoring point A, B, C three phases is respectively;
Figure QLYQS_22
the quality index of the ith monitoring point;
Figure QLYQS_23
Is a theoretical frequency value.
2. A method of calibrating power quality of a power grid according to claim 1, characterized by the steps ofIn the step 1, the step of the method,
Figure QLYQS_24
and->
Figure QLYQS_25
For peaks and troughs in the same period of A, +.>
Figure QLYQS_26
And->
Figure QLYQS_27
For peaks and troughs in the same period of B,
Figure QLYQS_28
and->
Figure QLYQS_29
Peaks and troughs in the same cycle as C.
3. The method according to claim 1, wherein in step 1, data preprocessing is performed to remove coarse errors in the sampled data.
4. The method for calibrating power quality of power grid according to claim 1, wherein in step 3, quality indexes of monitoring points are used
Figure QLYQS_30
Comparing with a preset threshold value to judge whether the electric energy quality data of the monitoring point is stable, specifically: when (when)
Figure QLYQS_31
And judging that the electric energy quality data of the monitoring point is stable, or else, the electric energy quality data of the monitoring point is unstable.
5. A method of calibrating power quality of a power grid according to claim 1, wherein in step 4, when a plurality of adjacent monitors are madeWhen the electric energy quality data of the points are all judged to be stable, the fluctuation of the quality indexes of the plurality of monitoring points is utilized to judge whether the electric energy quality of the power transmission line is compliant, specifically: selecting the power quality data of the adjacent 10 monitoring points to judge, judging stability when the power quality data of the adjacent 10 monitoring points are stable, and calculating the expectation of the quality indexes of the 10 monitoring points
Figure QLYQS_32
Sum of variances->
Figure QLYQS_33
If the quality indexes of the 10 monitoring points all meet +.>
Figure QLYQS_34
And judging the power quality compliance of the power transmission line, otherwise, judging the power quality compliance of the power transmission line. />
6. The method for calibrating power quality of a power grid according to claim 1, wherein in step 4, when the power quality data of a plurality of adjacent monitoring points are all determined to be stable, determining whether the power quality of the power transmission line is compliant by using the fluctuation of the quality indexes of the plurality of monitoring points is specifically: selecting the power quality data of the adjacent 10 monitoring points to judge, and obtaining the maximum value of the quality indexes in the 10 monitoring points when the power quality data of the adjacent 10 monitoring points are judged to be stable
Figure QLYQS_35
And minimum->
Figure QLYQS_36
If it is->
Figure QLYQS_37
And if the threshold value is preset, judging that the power quality of the power transmission line is compliant, otherwise, not compliant.
7. The method for calibrating power quality of a power grid according to claim 5 or 6, wherein the number of adjacent monitoring points is selected to be larger than 10, the power quality data stability judgment is performed, and if the stability judgment is performed, the fluctuation of the quality indexes of the monitoring points is used for judging whether the power quality of the power grid is compliant.
8. The method for calibrating power quality of a power grid according to claim 1, wherein i monitoring points are arranged on a three-phase power transmission line of the power grid at equal intervals, wherein the intervals are greater than or equal to the intervals
Figure QLYQS_38
；
Figure QLYQS_39
Is->
Figure QLYQS_40
。
9. An apparatus for performing the calibration method of the power quality of the power grid of any one of claims 1-8, characterized by: the device comprises a plurality of terminal monitoring devices, a communication station and a data processing center; the terminal monitoring equipment is connected with the monitoring points in a one-to-one correspondence manner and is used for synchronously acquiring the monitoring data of each monitoring point; the plurality of terminal monitoring devices are communicated with the data processing center through the communication station and are used for monitoring the transmission of data; the data processing center calculates corresponding voltage deviation and frequency deviation according to the sampled three-phase voltage wave peak value, the three-phase voltage trough value and the three-phase frequency value; the data processing center calculates the quality index of the monitoring point by using the voltage deviation and the frequency deviation of the monitoring point
Figure QLYQS_41
The method comprises the steps of carrying out a first treatment on the surface of the The data processing center is used for enabling quality indexes of monitoring points to be +.>
Figure QLYQS_42
Comparing the power quality data with a preset threshold value to judge whether the power quality data of the monitoring point is stable or not; when the power quality data of a plurality of adjacent monitoring points are all judged to be stableAnd judging whether the electric energy quality of the power transmission line is compliant or not by utilizing the fluctuation of the quality indexes of the plurality of monitoring points.
10. The apparatus according to claim 9, wherein: the terminal monitoring equipment comprises a processor, a wireless communication module, a self-checking module, a time setting module, a calibration module, a positioning module, an alarm module, a protection module and a corresponding detection module.
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