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CN116184100B - 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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CN116184100B
CN116184100B CN202310467829.1A CN202310467829A CN116184100B CN 116184100 B CN116184100 B CN 116184100B CN 202310467829 A CN202310467829 A CN 202310467829A CN 116184100 B CN116184100 B CN 116184100B
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power quality
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CN116184100A (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、/>、/>Three-phase voltage trough value->、/>、/>Three-phase frequency value->、/>、/>
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:,/>,/>the method comprises the steps of carrying out a first treatment on the surface of the The frequency deviation calculation formula is: />,/>
Step 3: calculating quality index of monitoring point by using voltage deviation and frequency deviation of monitoring point 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 +.>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,;/>,/>,/>the voltage deviation of the ith monitoring point A, B, C three phases is respectively; />,/>,/>The frequency deviation of the ith monitoring point A, B, C three phases is respectively; />The quality index of the ith monitoring point; />Is a theoretical frequency value.
Further, in the step 1,and->For peaks and troughs in the same period of a,and->For peaks and troughs in the same period of B, +.>And->Peaks and troughs in the same cycle as C.
Further, in the step 1,for the average of the multiple periodic peaks of phase A, < >>Is the average value of a plurality of period wave troughs of phase A, and the same applies ≡>、/>Is the average value of a plurality of periodic peaks or troughs of the B phase,、/>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 calculatedComparing with a preset threshold value to judge whether the electric energy quality data of the monitoring point is stable, specifically: />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 pointsSum of variances->If the quality indexes of the 10 monitoring points all meet +.>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 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, the maximum value of the quality indexes in the 10 monitoring points is obtainedAnd minimum ofValue->If the following areAnd 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;/>Is->
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 pointThe 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 +.>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: 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、/>、/>Three-phase voltage trough value->、/>、/>Three-phase frequency value->、/>、/>
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
As known by the power system of China, the alternating current frequency in the power transmission line of the power grid isAnd the instantaneous value of the voltage is usually expressed as +.>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 +.>、/>、/>And the valley value->、/>、/>
To prevent single sample error interference, selectIs the average value of the peak sampling values of a plurality of periods of phase A,for the average value of the sampled values of a plurality of period troughs of phase A, the same applies ≡>、/>For the average value of the peak sampling value or the trough sampling value of a plurality of periods of the B phase, +.>、/>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:,/>,/>the method comprises the steps of carrying out a first treatment on the surface of the The frequency deviation calculation formula is: />,/>
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 pointAnd the quality index of the monitoring point is +.>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 power quality data is calculated according to the voltage deviation and the frequency deviation of each phaseEach corresponding contribution, e.g. A-phase contribution isThe B phase contribution is->The contribution of C phase is->The method comprises the steps of carrying out a first treatment on the surface of the In calculating the contribution of a certain phase, in order to reduce the phase-induced interference, the phase data is chosen to be rejected in the denominator, thus using +.>,/>Calculating three-phase contribution; when the power grid is not disturbed by any disturbance, the ideal state is +.>The method comprises the steps of carrying out a first treatment on the surface of the Calculate->,/>,/>,/>,/>Are all 0, and the +.A calculation formula can be obtained according to the quality index of the monitoring point>=3The method comprises the steps of carrying out a first treatment on the surface of the However, the actual power grid transmission line is inevitably interfered by various factors, and the quality index is +.>Cannot be 3, but when the quality index is +.>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 +.>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 +.>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 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, 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 pointsSum of variances->If the quality indexes of the 10 monitoring points all meet +.>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 stableAnd minimum->If it is->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 +.>And minimum->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 pointThe 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 +.>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 (9)

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 comprise a three-phase voltage wave peak value uia peak, uib peak and uic peak of a monitoring point, a three-phase voltage wave trough value uia valley, uib valley and uic valley and a three-phase frequency value fia, fib, fic;
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: the frequency deviation calculation formula is: />
Step 3: calculating quality index Q of monitoring point by using voltage deviation and frequency deviation of monitoring point i
And the quality index Q of the monitoring point i 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 monitoring points, and i is more than or equal to 10; via bias, vib bias and Vic bias are respectively the voltage bias of three phases of the ith monitoring point A, B, C; fia, fib and fc are the frequency deviations of the three phases of the ith monitoring point A, B, C respectively; q (Q) i The quality index of the ith monitoring point; f0 is a theoretical frequency value;
in step 1, uia peaks and uia valleys are peaks and valleys in the same period as a, uib peaks and uib valleys are peaks and valleys in the same period as B, and uic peaks and uic valleys are peaks and valleys in the same period as C.
2. The method according to claim 1, wherein in step 1, data preprocessing is performed to remove coarse errors in the sampled data.
3. The method for calibrating power quality of a power grid according to claim 1, wherein in step 3, a quality index Qi of a monitoring point is compared with a preset threshold value to determine whether power quality data of the monitoring point is stable, specifically: when |Q i -3 is less than or equal to 0.3, and judging the monitoring pointThe power quality data is stable, otherwise unstable.
4. 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, judging stability when the power quality data of the adjacent 10 monitoring points are all judged, and calculating the expected E of the quality indexes of the 10 monitoring points Q And variance delta, if the quality indexes of the 10 monitoring points all meet the requirement of |Q i -E Q And if the I is less than or equal to 3 delta, judging that the electric energy quality of the transmission line is compliant, otherwise, not compliant.
5. 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 Q 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 max And minimum value Q min If the Q max -Q min And if the power quality of the power transmission line is less than or equal to the preset threshold value, judging that the power quality of the power transmission line is compliant, otherwise, not compliant.
6. The method for calibrating power quality of a power grid according to claim 4 or 5, 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.
7. A method for calibrating power quality of a power grid according to claim 1, characterized by equally spaced distribution on three-phase transmission lines of the power gridI monitoring points are arranged, wherein the distance is more than or equal to 1km; f (f) 0 Is 50Hz.
8. An apparatus for performing the calibration method of the power quality of the power grid of any one of claims 1-7, 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 Q of the monitoring point by using the voltage deviation and the frequency deviation of the monitoring point i The method comprises the steps of carrying out a first treatment on the surface of the The data processing center calculates the quality index Q of the monitoring point i 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.
9. The apparatus according to claim 8, 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 detection module for collecting monitoring data of each monitoring point.
CN202310467829.1A 2023-04-27 2023-04-27 Calibration method and device for power quality of power grid Active CN116184100B (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3711771A (en) * 1971-11-01 1973-01-16 North American Rockwell Radio-frequency power testing equipment
CN103605016A (en) * 2013-10-30 2014-02-26 广东电网公司电力科学研究院 Electric energy quality data processing method and apparatus thereof
CN104182816A (en) * 2014-07-09 2014-12-03 浙江大学 Method for evaluating power quality comprehensively based on the Vague sets and the improved technique for order preference by similarity to ideal solution and application thereof
CN106019020A (en) * 2016-06-30 2016-10-12 新疆特变电工自控设备有限公司 Detection method for voltage fluctuation of electric energy quality
CN106546842A (en) * 2016-10-13 2017-03-29 湖南工业大学 The micro-capacitance sensor IT system quality of power supply and insulating properties monitoring device
CN107515839A (en) * 2017-07-12 2017-12-26 国网上海市电力公司 The improved quality of power supply THE FUZZY EVALUATING METHOD for assigning power algorithm process
CN110161342A (en) * 2019-06-11 2019-08-23 哈尔滨工业大学 A kind of electric energy quality monitoring system and method
AU2020103307A4 (en) * 2020-11-09 2021-01-14 T.J. Deepika Machine Learning-Based Power Quality Improvement System For Micro-Grid
CN113075474A (en) * 2021-03-24 2021-07-06 深圳供电局有限公司 Electric energy measuring system and method
WO2022252664A1 (en) * 2021-06-02 2022-12-08 太原市优特奥科电子科技有限公司 Wireless electrical sensor, and electrical parameter measurement and calculation apparatus, method and system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101934103B1 (en) * 2017-09-28 2018-12-31 주식회사 스타코프 Virtual measurement instrumentation for electric power, electric power meter and electric power quality measurement, and method for acquiring, transferring and processing measured data using them

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3711771A (en) * 1971-11-01 1973-01-16 North American Rockwell Radio-frequency power testing equipment
CN103605016A (en) * 2013-10-30 2014-02-26 广东电网公司电力科学研究院 Electric energy quality data processing method and apparatus thereof
CN104182816A (en) * 2014-07-09 2014-12-03 浙江大学 Method for evaluating power quality comprehensively based on the Vague sets and the improved technique for order preference by similarity to ideal solution and application thereof
CN106019020A (en) * 2016-06-30 2016-10-12 新疆特变电工自控设备有限公司 Detection method for voltage fluctuation of electric energy quality
CN106546842A (en) * 2016-10-13 2017-03-29 湖南工业大学 The micro-capacitance sensor IT system quality of power supply and insulating properties monitoring device
CN107515839A (en) * 2017-07-12 2017-12-26 国网上海市电力公司 The improved quality of power supply THE FUZZY EVALUATING METHOD for assigning power algorithm process
CN110161342A (en) * 2019-06-11 2019-08-23 哈尔滨工业大学 A kind of electric energy quality monitoring system and method
AU2020103307A4 (en) * 2020-11-09 2021-01-14 T.J. Deepika Machine Learning-Based Power Quality Improvement System For Micro-Grid
CN113075474A (en) * 2021-03-24 2021-07-06 深圳供电局有限公司 Electric energy measuring system and method
WO2022252664A1 (en) * 2021-06-02 2022-12-08 太原市优特奥科电子科技有限公司 Wireless electrical sensor, and electrical parameter measurement and calculation apparatus, method and system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Calibration System for Electric Energy Quality Measurement Equipment;Vlaicu, C et al.;IREE;第5卷(第5期);第2171-2176页 *
商用客机电力系统电能质量的综合评估;孟杰;中国优秀硕士学位论文全文数据库工程科技Ⅱ辑;第8-10页 *
基于射频识别技术的电能质量计量评估模型;陈海宁 等;电子测量与仪器学报;第34卷(第6期);第25-31页 *

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