CN108761196A - A kind of intelligent electric meter user missing voltage data restorative procedure - Google Patents

A kind of intelligent electric meter user missing voltage data restorative procedure Download PDF

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Publication number
CN108761196A
CN108761196A CN201810275448.2A CN201810275448A CN108761196A CN 108761196 A CN108761196 A CN 108761196A CN 201810275448 A CN201810275448 A CN 201810275448A CN 108761196 A CN108761196 A CN 108761196A
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Prior art keywords
user
voltage
data
voltage data
lacks
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CN201810275448.2A
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CN108761196B (en
Inventor
唐泽洋
曹侃
蔡德福
周鲲鹏
万黎
周灏
史筱川
邹玉斌
周楚
董航
黄文涛
何俊
闫秉科
王涛
刘海光
肖繁
王文娜
王莹
饶渝泽
余笑东
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Wuhan Yi Mote Technology Co Ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
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Wuhan Yi Mote Technology Co Ltd
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hubei Electric Power Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R22/00Arrangements for measuring time integral of electric power or current, e.g. electricity meters

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Measurement Of Current Or Voltage (AREA)

Abstract

The present invention provides a kind of intelligent electric meter user missing voltage data restorative procedure, including:User's voltage data of a taiwan area is obtained based on power information acquisition system;Calculate the average value that each user corresponds to the voltage difference at moment;According to the size of user's voltage difference average value, it is proposed that user grouping foundation, by user grouping;According to group result, it is proposed that user lacks voltage correcting method, and user lacks voltage data between amendment group.The reparation that intelligent electric meter user lacks voltage data may be implemented in the present invention, and important data basis is provided for the development of related service.

Description

A kind of intelligent electric meter user missing voltage data restorative procedure
Technical field
The present invention relates to intelligent electric meter technical field, specifically a kind of intelligent electric meter user lacks voltage data reparation side Method.
Background technology
Intelligent electric meter is the intelligent terminal of intelligent grid, in addition to having the function of measuring of traditional electric energy meter basic electricity Outside, also has the function of power information storage, user terminal control etc..With the construction of intelligent grid, intelligent electric meter is very universal. Intelligent electric meter can record and to information such as the voltage of power information acquisition system upload user, power, these data are related works The important foundation data of work.But intelligent electric meter is at runtime, due to communication etc., can cause the loss of voltage data, data After loss inconvenience is brought to operating analysis.
A kind of the distribution network data identification and modification method based on topological tree of 105514994 A of publication number CN, according to The amount of capacity of distribution transformer to frontier node distribution transformer measure and fail polishing metric data carry out data identification with It corrects.A kind of data cleaning method and system of publication number CN 106599193A, according to the data characteristics in data backup model Value and restriction relation restore the data feature values of cleaning object.The data recovery method of application number 201610399396.0 And data prosthetic device, according to local repair data and relaying repair data, local new node to lose data slot into Row repairs operation.105514994 A of publication number CN, CN 106599193A and application number 201610399396.0 are not directed to intelligence Energy ammeter user lacks the reparation of voltage data.
Invention content
The present invention provides a kind of intelligent electric meter missing voltage data restorative procedure, may be implemented to use by the implementation of this method Family lacks the reparation of voltage data, and data basis is provided for related service.
The technical solution adopted by the present invention is:
A kind of intelligent electric meter missing voltage data restorative procedure, includes the following steps:
A, user's voltage data of a taiwan area is obtained based on power information acquisition system;
B, the user's voltage data obtained based on step A, calculates the average value that each user corresponds to the voltage difference at moment;
C, the average value based on the step B voltage differences calculated, according to the size of average value, by the difference of the same taiwan area User is grouped;
D, the user grouping based on step C is as a result, user lacks voltage data between amendment group;
Further, user's voltage data described in step A derives from power information acquisition system, be one day 24 points Voltage data, i.e., the primary voltage data of each hour record.
Further, the average value that each user corresponds to the voltage difference at moment is calculated in step B, specially:User's X whole days 24 points of voltage data is UX1, UX2……UXn, the voltage data of 24 points of user Y whole days is UY1, UY2……UYn, wherein n=24;
The average value for the voltage difference that user X and Y correspond to the moment is:
Wherein UXi、UYiThe voltage value at i-th of moment of respectively user X and Y, i=1 ... n, n=24.
Further, user is grouped, specially according to the size of each user's voltage difference average value in step C: As user X and user Y correspond to the average value U of the voltage difference at momentX-Y<1, then it is one group to divide user X and Y, other situations, The rest may be inferred.
Further, user lacks voltage data between amendment group in step D, specially:If user C1, C2, C3 and C4 are One group, certain moment user's voltage missing includes following several situations:
1) 1 user's voltage data missing:If certain moment user C1 voltage lacks, then lacking voltage correction formula is:Other situations, and so on;
2) 2 user's voltage data missings:If certain moment user's C1 and C2 voltage lacks, then voltage correction formula is lacked For:Other situations, and so on;
3) 3 user's voltage data missings:If certain moment user C1, C2 and C3 voltage lacks, then lacks voltage and correct public affairs Formula is:UC1=UC2=UC3=UC4, other situations, and so on;
4) when 4 user's voltage datas lack, missing data is not repaired.
The average value that the present invention corresponds to the voltage difference at moment by calculating each user, then according to the size of average value, The different user of the same taiwan area is grouped, so based on user grouping as a result, between amendment group user lack voltage data, The reparation that user lacks voltage data may be implemented, provide data basis for related service, and verify by actual items, lack Amendment error when mistake is respectively less than 1V, shows the amendment error of modification method of the present invention within the acceptable range, table The feasibility of institute's extracting method of the present invention is illustrated.
Description of the drawings
Fig. 1 is the flow diagram that intelligent electric meter user of the present invention lacks voltage data restorative procedure.
Specific implementation mode
Below in conjunction with the attached drawing in the present invention, the technical solution in the present invention is clearly and completely described.
Fig. 1 is please referred to, is that the flow that a kind of intelligent electric meter user provided by the invention lacks voltage data restorative procedure is shown It is intended to, described method includes following steps:
Step A obtains user's voltage data of a taiwan area based on power information acquisition system, is one day 24 points of voltage Data, i.e., the primary voltage data of each hour record.Have collected 20 emphasis users of certain taiwan area from September in 2017 28 days to On January 8th, 2018, totally 110 days user's voltage datas, the voltage data of wherein September user C1 on the 28th are as shown in the table:
The voltage value of 1 2017 years Septembers of table user C1 on the 28th
Moment Voltage/V Moment Voltage/V Moment Voltage/V
0 point 233.7 8 points 232.1 16 points 231.1
1 point 232.2 9 points 233.6 17 points 239.1
2 points 232.1 10 points 235.2 18 points 238.3
3 points 232.7 11 points 235.8 19 points 239.4
4 points 230.8 12 points 233.6 20 points 237.4
5 points 230.4 13 points 233.1 21 points 231.6
6 points 232.4 14 points 230.5 22 points 237.2
7 points 231.8 15 points 235.7 23 points 238.4
Step B:The taiwan area includes altogether 20 emphasis users, calculates separately the voltage difference between 20 emphasis users Average value calculates user's C1 and C2 voltage difference, the results are shown in table below by taking September in 2017 28 days as an example;
The voltage difference result of calculation of 2 2017 years Septembers of table user C1 and C2 on the 28th
Moment Voltage difference/V Moment Voltage difference/V Moment Voltage difference/V
0 point 0.3 8 points 0.4 16 points 0.1
1 point 0 9 points 0.7 17 points 0.2
2 points 0 10 points 0.1 18 points 0.8
3 points 0 11 points 1.2 19 points 0.1
4 points 1.3 12 points 0.9 20 points 0.1
5 points 0.1 13 points 0.2 21 points 1.6
6 points 0.2 14 points 0.2 22 points 0
7 points 0.3 15 points 0.4 23 points 0.4
According to voltage difference result of calculation, the voltage difference average value between September in 2017 user C1 and C2 on the 28th is acquired It is 0.4, the average value for continuing to acquire this 110 days user's voltage differences on January 8th, 28 days 1 of September in 2017 is UC1-C2 =0.49, other users are also done with similar calculating.
Step C:20 users of the taiwan area are grouped according to the result of calculation of step B, due to UC1-C2=0.49, UC1-C3=0.93, UC1-C4=0.77, therefore it is one group that can divide user C1, C2, C3, C4.
Step D:According to the group result of step C, the voltage data of user's C1, C2, C3 and C4 missing is modified, under Face illustrates by way of example:
It lacks voltage data and repairs result:
1) 1 user's voltage data missing
For when 3 days 4 October in 2017, which only has user's C2 voltages missing, the voltage value of user C1, C3 and C4 Respectively 231.2V, 231.8V and 231.7V have according to correction formula:
2) 2 user's voltage data missings
For when September in 2017 21 days 20, this when be carved with 2 users (C1 and C3) voltage missing, user C2's and C4 Voltage value is respectively 232V and 228.6V, is had according to correction formula:
3) 3 user's voltage data missings
For when 8 days 13 January in 2018, this when be carved with 3 user (C1, C2 and C3) voltages missing, the electricity of user C4 Pressure value is 220.9V, is had according to correction formula:
UC1=UC2=UC3=UC4=220.9V
According to above method, the missing voltage data of user C1~C4 is modified, the amendment side will be analyzed below The error condition of method.
The error condition of modification method:
1) 1 user's voltage missing
For when September in 2017 21 days 0, moment C1~C4 users voltage is respectively 234.4V, 234.6V, 234.5V And 234.6V.Assuming that user's C1 voltages lack, then correction result isCorrection result with it is true The error of real result is 0.2V.According to said method, amendment average error was calculated for 0.66V to 110 days all data.
2) 2 user's voltage missings
For when September in 2017 21 days 3, moment C1~C4 users voltage is respectively 234.7V, 234.6V, 234.7V And 235V, it is assumed that user's C3 and C4 voltage lacks, then correction result isThen user C3 Correction result error be 0.05V, the correction result error of user C4 is 0.35V.According to said method, all data to 110 days It is 0.69V to calculate and correct error.
3) 3 user's voltage missings
For when September in 2017 21 days 7, moment C1~C4 users voltage is respectively 235.2V, 235.3V, 234.8V And 235.5V, it is assumed that user's C1~C3 voltages lack, then correction result is UC1=UC2=UC3=UC4=235.5V, user C1~ The amendment error of C3 is respectively 0.3V, 0.2V and 0.7V.According to said method, it is to 110 days all data calculating amendment errors 0.77V。
By analyzing above, the amendment error when shortage of data of 3 types is respectively less than 1V, shows amendment of the present invention The amendment error of method within the acceptable range, shows the feasibility of institute's extracting method of the present invention.

Claims (5)

1. a kind of intelligent electric meter user lacks voltage data restorative procedure, it is characterised in that include the following steps:
A, user's voltage data of a taiwan area is obtained based on power information acquisition system;
B, the user's voltage data obtained based on step A, calculates the average value that each user corresponds to the voltage difference at moment;
C, the average value based on the step B voltage differences calculated, according to the size of average value, by the different user of the same taiwan area It is grouped;
D, the user grouping based on step C is as a result, user lacks voltage data between amendment group.
2. intelligent electric meter user according to claim 1 lacks voltage data restorative procedure, it is characterised in that:In step A User's voltage data derives from power information acquisition system, is one day 24 points of voltage data, i.e., each hour record Primary voltage data.
3. intelligent electric meter user according to claim 1 lacks voltage data restorative procedure, it is characterised in that:In step B The average value that each user corresponds to the voltage difference at moment is calculated, specially:24 points of the voltage data of certain day user X is UX1, UX2……UXn, 24 points of the voltage data of user Y is UY1, UY2……UYn, wherein n=24;
The average value for calculating the voltage difference that user X and Y correspond to the moment in m days time ranges is:
Wherein UXi、UYiThe voltage value at i-th of moment of respectively user X and Y, i=1 ... n, when user X and Y are without shortage of data When n=24;J=1 ... m, m are the number of days calculated.
4. intelligent electric meter user according to claim 1 lacks voltage data restorative procedure, it is characterised in that:In step C According to the size of each user's voltage difference average value, user is grouped, specially:As user X and user Y correspond to the moment The average value U of voltage differenceX-Y<1, then it is one group to divide user X and Y, other situations, and so on.
5. intelligent electric meter user according to claim 1 lacks voltage data restorative procedure, it is characterised in that:In step D User lacks voltage data between amendment group, if it is one group to have P user, when the voltage data of P user lacks, does not then repair Multiple missing data;Other shortage of data situations, repair missing data;Specially:If user C1, C2, C3 and C4 are one group, certain Moment user's voltage missing includes following several situations:
1) 1 user's voltage data missing:If certain moment user C1 voltage lacks, then lacking voltage correction formula is:Other situations, and so on;
2) 2 user's voltage data missings:If certain moment user's C1 and C2 voltage lacks, then lacking voltage correction formula is:Other situations, and so on;
3) 3 user's voltage data missings:If certain moment user C1, C2 and C3 voltage lacks, then lacking voltage correction formula is: UC1=UC2=UC3=UC4, other situations, and so on;
4) when 4 user's voltage datas lack, missing data is not repaired.
CN201810275448.2A 2018-03-30 2018-03-30 Method for repairing missing voltage data of intelligent electric meter user Active CN108761196B (en)

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Cited By (1)

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CN111680074A (en) * 2019-12-31 2020-09-18 国网浙江省电力有限公司 Clustering algorithm-based electric power collection load leakage point feature mining method

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CN103020166A (en) * 2012-11-26 2013-04-03 宁波电业局 Real-time electric data exception detection method
CN104216349A (en) * 2013-05-31 2014-12-17 三星Sds株式会社 Yield analysis system and method using sensor data of fabrication equipment
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