CN115508662A - Method for judging affiliation relationship between district ammeter and meter box - Google Patents
Method for judging affiliation relationship between district ammeter and meter box Download PDFInfo
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- CN115508662A CN115508662A CN202211470086.5A CN202211470086A CN115508662A CN 115508662 A CN115508662 A CN 115508662A CN 202211470086 A CN202211470086 A CN 202211470086A CN 115508662 A CN115508662 A CN 115508662A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
- G01R19/0084—Arrangements for measuring currents or voltages or for indicating presence or sign thereof measuring voltage only
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/001—Measuring real or reactive component; Measuring apparent energy
- G01R21/002—Measuring real component
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention relates to the technical field of distribution network automation, and discloses a method for judging the affiliation relationship between a district ammeter and a meter box, which comprises the following steps: eliminating data points which are not copied and read; traversing the electric meter, calculating the Pearson correlation coefficient of each phase voltage of each switch and the voltage of the electric meter, and clustering the switches with the correlation numbers larger than a threshold value into a cluster; calculating the proportion of the data points of the ammeter higher than the active power of each switch to all the data points; for meters that have not yet been attributed: and carrying out weight normalization and addition on the correlation coefficient of the meter voltage and the switch phase voltage in the corresponding cluster and the proportion obtained in the previous step to obtain the degree of engagement, and selecting the switch with the maximum degree of engagement as the paired switch of the current meter to obtain the attribution relation of the electric meter. The invention does not need extra hardware, realizes the case table relation carding only through voltage and power analysis, is easy to realize, saves the labor cost, reduces the misjudgment probability, obtains a more accurate and reliable judgment result, improves the working efficiency and has certain popularization value.
Description
Technical Field
The invention relates to the technical field of distribution network automation, in particular to a method for judging the affiliation relationship between a district ammeter and a meter box.
Background
The power distribution network is a key infrastructure for social development and economic progress, and the rapid development of power grid services puts higher requirements on the configuration level of the power distribution network. Low voltage distribution networks are particularly critical as end-links of the distribution system directly associated with the users. The determination of the archives in low pressure distribution station district is an extremely important part in power consumption information acquisition work, but has some low pressure distribution station districts, especially some old districts, because reasons such as change often change, the circuit is complicated, data volume is big etc. cause that traditional manual examination mode work load is huge and the cycle length, is difficult to accurately acquire the affiliation of ammeter and table case, often the condition of mistake or omission takes place. Meanwhile, the manual determination of the home relationship between the electric meter and the meter box often requires power outage in a segmented manner, which may result in poor user experience and affect the reliability of power supply. In short, the conventional method cannot meet the actual requirements of the current day, and is prone to waste of resources.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a method for judging the affiliation relationship between a district electric meter and a meter box.
The purpose of the invention can be realized by the following technical scheme:
a method for judging the affiliation relationship between electric meters and meter boxes in a transformer area, wherein the transformer area is a low-voltage transformer area, and each meter box in the transformer area is provided with a measuring switch, the method comprises the following steps:
s1, a concentrator receives a signal sent by a master station, and time calibration is carried out on all meter box measuring switches and electric meters in a distribution room, so that clock synchronization is ensured;
s2, collecting the voltage and active power data of the measuring switch and the ammeter for T days by taking 15 minutes as a collection time granularity, namely collecting 96 times every day, and forming a voltage and active power data set by the concentrator;
for a user of the three-phase meter, taking A-phase voltage data as voltage data of the user;
s3, judging the affiliation relationship between the district ammeter and the meter box; the method comprises the following specific steps:
s31, firstly, preprocessing a voltage and active power data sequence, namely, eliminating data points which are not copied and read; if the voltage or active power data of a certain measuring switch or an ammeter at a certain time point are not read, rejecting the voltage or active power data of all the measuring switches and the ammeter at the time point;
s32, traversing the electric meter, calculating the Pearson correlation coefficient of each phase voltage of each measuring switch and the voltage of the electric meter, and gathering the measuring switches of which the Pearson correlation coefficient with the voltage of the electric meter is greater than a threshold value alpha into a cluster;
if the Pearson correlation coefficients of the voltages of the multiple phases of the measuring switch and the voltage of the ammeter are both larger than a threshold value alpha, only phase data with the maximum Pearson correlation coefficient is reserved;
if only one measuring switch is arranged in the cluster, the ammeter is directly judged to belong to the ammeter box corresponding to the measuring switch, and a subsequent process is not required to be executed;
s33, performing power cross validation on the electric meter of which the attribution relationship is not determined yet, comparing the active power data of the electric meter with the active power data of the measurement switches in the cluster, finding out the number of data points of which the active power of the electric meter is higher than the active power of each measurement switch, and recording the proportion of the data points to all the data points;
s34, the following operations are carried out on the electric meters which are not determined to be in the attribution relationship one by one: and (4) performing weight normalization processing on the current ammeter voltage obtained in the step (S32) and the Pearson correlation coefficient of the measured switch phase voltage in the corresponding cluster and the proportion obtained in the step (S33), and then adding to obtain the degree of engagement, and selecting the measurement switch with the highest value of the degree of engagement as a paired measurement switch of the current ammeter, so as to obtain the meter box attribution relation of the current ammeter.
Preferably, in step S1, the process proceeds to S2 after the synchronization time error between any two devices performing timing is less than 1S.
Preferably, the type of collecting the voltage and the active power in step S2 is fixed-point freezing data.
Preferably, the calculation formula of the pearson correlation coefficient R (X, Y) in step S32 is:
where X represents the meter voltage vector, Y represents the voltage vector of the measurement switch, cov () represents the covariance of the vectors X and Y,
the standard deviation of the vector is indicated.
Preferably, the specific steps of S33 are:
step S331, obtaining the active power sequence of the ith ammeter
And active power sequence corresponding to all the measurement switches in the cluster
；
Wherein N represents the number of electric meters for which the affiliation has not been determined after step S32 is completed; n represents the number of active power data points; m represents the number of the measurement switches in the corresponding cluster of the ith ammeter;
step S332, comparing the ith electric meter active power sequence with the active power sequence of the kth measuring switch in the corresponding cluster respectively, finding out the number of data points of which the electric meter active power is higher than the active power of the measuring switch, dividing the number of data points by the total number of data points n, and recording the obtained result as F i,k And the active power cross duty ratio is shown.
Preferably, the fitness calculation formula in step S34 is:
wherein i represents the number of the electric meters, i =1, \8230, and N, N represents the number of the electric meters of which the attribution relationship is not determined after the step S32 is finished; k represents the number of the ammeter corresponding to the measuring switch in the cluster, k =1, \ 8230, m, m represents the number of the ith ammeter corresponding to the measuring switch in the cluster; r is i,k A Pearson correlation coefficient representing a voltage of the ith meter and the kth measurement switch in the corresponding cluster; min (R) represents the value with the minimum Pearson correlation coefficient of the voltage of the ith ammeter and the corresponding intra-cluster measurement switch; max (R) represents the maximum Pearson correlation coefficient of the voltage of the ith ammeter and the corresponding intra-cluster measurement switch; f i,k The active power cross duty ratio of the ith ammeter and the kth switch in the corresponding cluster is represented; min (F) represents the minimum value of the active power cross ratio of the ith ammeter and the corresponding intra-cluster measurement switch; max (F) represents the maximum value of the active power cross ratio of the ith ammeter and the corresponding measuring switch in the cluster; ω represents a weight coefficient;
the specific selection principle of the value range of omega is as follows: if the active power data of the ammeter are all zero, namely representing that the user does not use electricity in the collection time period, setting the weight coefficient omega as 1; otherwise, the value range of omega is 0.3 to 0.4.
Preferably, the threshold value α in step S32 ranges from 0.9 to 1.0.
The invention has the beneficial technical effects that: need not to increase extra hardware, only can realize fining the carding of case table affiliation through the analysis to voltage and active power dual factor, easily realize comparing traditional scheme, practiced thrift the human cost, reduced the erroneous judgement probability to obtain more accurate reliable judged result, also improved work efficiency, certain spreading value has.
Drawings
FIG. 1 is a general flow diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Example (b):
with reference to fig. 1, a method for determining an affiliation relationship between electric meters and meter boxes in a distribution area is implemented by 30 low-voltage distribution areas in shaoxing, zhejiang, each meter box in the distribution area is provided with a measurement switch, and the method comprises the following steps:
s1, a concentrator receives a signal sent by a master station, and time calibration is carried out on all meter box measuring switches and electric meters in a distribution room, so that clock synchronization is ensured; and after the synchronous time errors between any two devices for time correction are less than 1S, switching to S2.
S2, collecting fixed-point freezing data of voltage and active power of a measuring switch and an ammeter for 3 days by using 15 minutes as a collection time granularity through a concentrator, namely 288 data points to form a voltage and active power data set;
for a user of the three-phase meter, the A-phase voltage data is taken as the voltage data.
S3, judging the affiliation relationship between the electric meter and the meter box in the transformer area; the method comprises the following specific steps:
s31, firstly, preprocessing the voltage and active power data sequence, namely, eliminating 12 data points which are not copied and reading, and remaining 276 data points.
S32, taking the electric meter 1 as an example, calculating the Pearson correlation coefficient of each phase voltage of each measuring switch and the electric meter voltage, and clustering the measuring switches of which the Pearson correlation coefficient with the electric meter voltage is greater than a threshold value of 0.95 into a cluster; the resulting cluster included 3 measurement switches: a measurement switch 6 (having the maximum pearson correlation coefficient of the a-phase voltage with respect to the meter voltage of 0.9753), a measurement switch 12 (having the maximum pearson correlation coefficient of the C-phase voltage with respect to the meter voltage of 0.9614), and a measurement switch 27 (having the maximum pearson correlation coefficient of the B-phase voltage with respect to the meter voltage of 0.9569).
S33, performing power cross validation on the electric meter 1, comparing the active power data of the electric meter with the active power data of the measurement switches in the cluster, finding out the number of data points of which the active power of the electric meter is higher than the active power of each measurement switch, and recording the proportion of the data points to all the data points.
The method comprises the following specific steps:
step S331, obtaining the active power sequence of the ammeter 1
And active power sequence corresponding to the in-cluster measurement switch
。
Step S332, comparing the active power sequence of the ammeter 1 with the active power sequences of the 3 measurement switches in the corresponding cluster respectively, finding out the number of data points of which the active power of the ammeter is higher than the active power of the measurement switches, and dividing the data points by the total number of data points 276 to obtain the following results: f 1,1 =2/276 (switch 6), F 1,2 =39/276 (switch 12), F 1,3 =13/276 (switch 27).
And S34, performing weight normalization processing on the current ammeter voltage obtained in the step S32 and the Pearson correlation coefficient of the corresponding intra-cluster measurement switch voltage and the proportion obtained in the step S33, adding the weighted normalization processing to obtain a fitting degree, and selecting the measurement switch with the largest fitting degree value as a paired measurement switch of the current ammeter, so that the meter box attribution relation of the current ammeter is obtained.
The fitness calculation formula is as follows:
wherein i represents the number of the electric meters, i =1, \8230, and N, N represents the number of the electric meters of which the attribution relationship is not determined after the step S32 is finished; k represents the number of the ammeter corresponding to the in-cluster measuring switch, k =1, \8230, m, m represents the number of the ith ammeter corresponding to the in-cluster measuring switch; r i,k A Pearson correlation coefficient representing a voltage of the ith meter and the kth measurement switch in the corresponding cluster; min (R) represents the value with the minimum Pearson correlation coefficient of the voltage of the ith ammeter and the corresponding intra-cluster measurement switch; max (R) represents the maximum Pearson correlation coefficient of the voltage of the ith ammeter and the corresponding intra-cluster measurement switch; f i,k The active power cross duty ratio of the ith ammeter and the kth switch in the corresponding cluster is represented; min (F) represents the minimum value of the active power cross ratio of the ith ammeter and the corresponding intra-cluster measuring switch; max (F) represents the ith meter and correspondingMeasuring the maximum active power cross ratio of the switch in the cluster; ω represents a weight coefficient, and its value is 0.4 in the example;
for this embodiment, the fitting degree S of the electricity meter 1 and the measurement switch 6 1,1 =1; fitting degree S of ammeter 1 and measuring switch 12 1,2 =0.097826; fitting degree S of ammeter 1 and measuring switch 27 1,3 =0.42162. The difference between the values is obvious, and the fact that the ammeter 1 belongs to the phase A of the measuring switch 6 can be clearly determined.
And checking the latest user file information in the electricity acquisition system of the transformer area, and determining that the calculation result is consistent with the actual checking result, so that the verification method is verified.
The above-mentioned embodiments are illustrative of the specific embodiments of the present invention, and not restrictive, and those skilled in the relevant art can make various changes and modifications to the invention without departing from the spirit and scope of the invention, so that all equivalent technical solutions should fall within the scope of the present invention.
Claims (7)
1. A method for judging the affiliation relationship between an electric meter and meter boxes in a transformer area is characterized in that the transformer area is a low-voltage transformer area, and each meter box in the transformer area is provided with a measuring switch, and the method comprises the following steps:
s1, a concentrator receives a signal sent by a master station, and time calibration is carried out on all meter box measuring switches and electric meters in a distribution room, so that clock synchronization is ensured;
s2, collecting the voltage and active power data of the measuring switch and the ammeter for T days by taking 15 minutes as a collection time granularity, namely collecting 96 times every day, and forming a voltage and active power data set by the concentrator;
for a user of the three-phase meter, taking A-phase voltage data as voltage data of the user;
s3, judging the affiliation relationship between the district ammeter and the meter box; the method comprises the following specific steps:
s31, firstly, preprocessing a voltage and active power data sequence, namely, eliminating data points which are not copied and read; if the voltage or active power data of a certain measuring switch or an ammeter at a certain time point are not read, rejecting the voltage or active power data of all the measuring switches and the ammeter at the time point;
s32, traversing the electric meter, calculating the Pearson correlation coefficient of each phase voltage of each measuring switch and the voltage of the electric meter, and gathering the measuring switches of which the Pearson correlation coefficient with the voltage of the electric meter is greater than a threshold value alpha into a cluster;
if the Pearson correlation coefficients of the voltages of the multiple phases of the measuring switch and the voltage of the ammeter are both larger than a threshold value alpha, only phase data with the maximum Pearson correlation coefficients are reserved;
if only one measuring switch is arranged in the cluster, the ammeter is directly judged to belong to the ammeter box corresponding to the measuring switch, and subsequent processes do not need to be executed;
s33, performing power cross validation on the electric meter of which the attribution relationship is not determined yet, comparing the active power data of the electric meter with the active power data of the measurement switches in the clusters, finding out the number of data points of which the active power of the electric meter is higher than the active power of each measurement switch, and recording the proportion of the data points to the number of the data points;
s34, performing the following operations on the electric meters of which the attribution relations are not determined one by one: and (4) performing weight normalization processing on the current ammeter voltage obtained in the step (S32) and the Pearson correlation coefficient of the measured switch phase voltage in the corresponding cluster and the proportion obtained in the step (S33), and then adding to obtain the degree of engagement, and selecting the measurement switch with the highest value of the degree of engagement as a paired measurement switch of the current ammeter, so as to obtain the meter box attribution relation of the current ammeter.
2. The method for determining the affiliation between the district electric meters and the meter boxes according to claim 1, wherein in step S1, the step is shifted to S2 after the synchronization time error between any two devices performing time calibration is less than 1S.
3. The method of claim 1, wherein the type of the collected voltage and active power in step S2 is freeze-on-point data.
4. The method of claim 1, wherein the pearson correlation coefficient R (X, Y) in step S32 is calculated by the formula:
where X represents the meter voltage vector, Y represents the voltage vector of the measurement switch, cov () represents the covariance of the vectors X and Y,
the standard deviation of the vector is indicated.
5. The method of claim 1, wherein the step S33 comprises the steps of:
step S331, obtaining the active power sequence of the ith ammeter
And active power sequence corresponding to all the measurement switches in the cluster
；
Wherein N represents the number of electric meters for which the affiliation has not been determined after completion of step S32; n represents the number of active power data points; m represents the number of the measurement switches in the corresponding cluster of the ith ammeter;
step S332, comparing the ith electric meter active power sequence with the active power sequence of the kth measuring switch in the corresponding cluster respectively, finding out the number of data points of which the electric meter active power is higher than the active power of the measuring switch, dividing the number of data points by the total number of data points n, and recording the obtained result as F i,k And the active power cross duty ratio is shown.
6. The method of claim 1, wherein the fitness calculation formula in step S34 is:
wherein i represents the number of the electric meters, i =1, \8230, and N, N represents the number of the electric meters of which the attribution relationship is not determined after the step S32 is finished; k represents the number of the ammeter corresponding to the measuring switch in the cluster, k =1, \ 8230, m, m represents the number of the ith ammeter corresponding to the measuring switch in the cluster; r is i,k A Pearson correlation coefficient representing a voltage of the ith meter and the kth measurement switch in the corresponding cluster; min (R) represents the value with the minimum Pearson correlation coefficient of the voltage of the ith ammeter and the corresponding intra-cluster measurement switch; max (R) represents the maximum Pearson correlation coefficient of the voltage between the ith ammeter and the corresponding intra-cluster measurement switch; f i,k The active power cross duty ratio of the ith ammeter and the kth switch in the corresponding cluster is represented; min (F) represents the minimum value of the active power cross ratio of the ith ammeter and the corresponding intra-cluster measurement switch; max (F) represents the maximum value of the active power cross ratio of the ith ammeter and the corresponding measuring switch in the cluster; ω represents a weight coefficient;
the specific selection principle of the value range of omega is as follows: if the active power data of the ammeter are all zero, namely representing that the user does not use electricity in the collection time period, setting the weight coefficient omega as 1; otherwise, the value range of omega is 0.3 to 0.4.
7. The method for judging the affiliation between the district electric meters and the meter boxes according to claim 1, wherein the threshold value α in the step S32 ranges from 0.9 to 1.0.
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