CN109725219A - A kind of electric energy meter platform area automatic identifying method - Google Patents
A kind of electric energy meter platform area automatic identifying method Download PDFInfo
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- CN109725219A CN109725219A CN201811643294.4A CN201811643294A CN109725219A CN 109725219 A CN109725219 A CN 109725219A CN 201811643294 A CN201811643294 A CN 201811643294A CN 109725219 A CN109725219 A CN 109725219A
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Abstract
The present invention relates to a kind of electric energy meter platform area automatic identifying methods, belong to power distribution network electric parameter measurement application field.First on the basis of existing platform area accurate data, a voltage loss model is established.It is then based on voltage loss model and user's end data, area's summary table voltage is put into effect in estimation.Estimated voltage and virtual voltage are finally subjected to correlation analysis, integrated decision-making goes out platform area belonging to user's electric energy meter, and provides the two related coefficient, so that administration of power networks ability is improved, the operation for promoting grid health stable.
Description
Technical field
The invention belongs to power distribution network electric parameter measurement application fields, are related to a kind of electric energy meter platform area automatic identifying method.
Background technique
In daily management mission of the Utilities Electric Co. to power distribution network, often it is related to and the affiliated platform Qu Xiangguan of user's electric energy meter
The problem of, such as when remote bill control, clock school, three-phase power balance, phase sequence control and line loss rule calculate.Accurately identification user electricity
Platform area belonging to energy table can be realized the marketing of fining and effectively consumption reduction detraction.
Currently, the platform area identification of user relies primarily on PLC technology, need to send carrier signal from concentrator, then
User terminal connects measuring tool and measures, and not only workload is very big, but also is easy the interference by electromagnetic signal.
Data according to defined in " the DL/T645-2007 multifunctional electric energy meter communication protocol " of in December, 2007 publication
Exchange agreement can acquire various status informations when operation of power networks in real time.If can make full use of these collected operations
Data analyze power distribution network, efficiently identify out the platform area of user's electric energy meter, it will substantially reduce Utilities Electric Co. administrator
The work difficulty of member, improves the operational efficiency of power grid.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of electric energy meter platform area automatic identifying methods.By in existing platform
On the basis of area's accurate data, a voltage loss model is established.It is then based on voltage loss model, utilizes synchronization user
The voltage value of area's summary table phase is put into effect in the performance number of the voltage of electric energy meter, performance number and platform area summary table phase, estimation.Finally, logical
The Spearman rank correlation coefficient of the voltage estimated value Yu voltage actual value that calculate several moment platforms area summary table is crossed, to determine user
Platform area belonging to electric energy meter.
In order to achieve the above objectives, the invention provides the following technical scheme:
A kind of electric energy meter platform area automatic identifying method, method includes the following steps:
S1: the voltage and function of several moment platforms area's summary table Yu user's electric energy meter are acquired using known correct platform area data
Rate value；
S2: a voltage loss model is established using collected voltage and performance number；
S3: voltage loss model and user's electric energy meter data to be identified are utilized, each area's summary table of each moment is estimated
The voltage of every phase；
S4: the data of estimated value and actual value based on the every phase voltage of moment platform area summary table calculate theirs
Spearman rank correlation coefficient；
S5: using the Spearman rank correlation coefficient of actual value and estimated value, integrated decision-making user's electric energy meter institute to be identified
The area Shu Tai.
Further, the step S1 specifically:
Every 1~15 minute in certain number of days, user's electric energy meter voltage V of synchronous acquisitionu, power WuWith the user
Electric energy meter corresponds to platform area summary table in the voltage V of corresponding phaset, power Wt；Finally according to the collected data, a trained number is constructed
According to collection D (Wu Vu,Wt,Vt)。
Further, the step S2 specifically:
S21: by collected training dataset D use zero-mean value standardization method normalized, eliminate them it
Between dimension, obtain new training dataset D*Specific conversion formula are as follows:
S22: according to gradient descent method principle, by making objective function Local Minimum, to obtain the ginseng of voltage loss model
Number (k0,k1,k2,k3)；Objective function are as follows:
Wherein, λ is regularization parameter, and m is training dataset D*The sample size of middle acquisition,Respectively
For training set D*In i-th of sample.
Further, the S3 specifically:
S31: every 1~15 minute in certain number of days, the primary user's electric energy meter voltage V to be identified of synchronous acquisitionux, power
WuxWith each area's summary table each phase voltage Vt, power Wt；Finally according to the collected data, 3 × k number is constructed according to collection
Tij(Wux Vux,Wtij,Vtij)；Wherein, k is the total quantity in platform area, and i is platform area number, one in j A, B, C phase；
S32: by data set TijIn every data according in S21 mean value and variance standardize；
S33: according to voltage loss model, each each phase in area is estimated in the voltage value at corresponding moment；Voltage damage
Consume the specific formula of model are as follows:
Wherein, V 'tijI-th area's summary table is represented in the voltage estimated value of j phase, Vux、WuxRespectively represent user to be identified
Electric energy meter voltage and power, Wtij V′tijI-th area's summary table is represented in the power of j phase.
Further, the S4 specifically:
S41: by each data set TijThe voltage estimated value and actual value of obtained i-th area jth phase are respectively from small
To big sequence, corresponding rank R is calculatediAnd Qi；
S42: according to calculated rank, Spearman rank correlation coefficient, specific formula are calculated are as follows:
Further, the S5 specifically:
S51: calculated three correlation coefficient rs in i-th area are takeniA、riB、riCIn maximum value square be used as platform area
Degree of correlation ri 2；
S52: Ruo Tai area degree of correlation ri 2Less than γ1, then i-th area is removed from alternative platform area；Wherein, 0≤r2≤
1, ri 2It is stronger closer to 1 user's electric energy meter and i-th area's correlation；γ1For threshold value, rule of thumb obtain；
S53: in remaining alternative platform area, the maximum r of the degree of correlation is foundi 2, then user's electric energy meter to be identified just belongs to
I-th area；
S54: it if can not finally be matched to suitable platform area, is analyzed again after obtaining more data；Repeat step
S3 to S5 identifies more user's electric energy meters, no longer needs to building loss of voltage model.
The beneficial effects of the present invention are:
First, can measure the function of voltage and power by electric energy meter, the method for maintenance data analysis is automatically identified
Platform area belonging to user's electric energy meter reduces cost without adding additional special equipment；
Secondly, it can be achieved that the identification of across platform area, effectively solves the problems, such as Utilities Electric Co.'s archives typing mistake, improves the standard of statistics
True rate.
Detailed description of the invention
In order to keep the purpose of the present invention, technical scheme and beneficial effects clearer, the present invention provides following attached drawing and carries out
Illustrate:
Fig. 1 is a kind of electric energy meter platform area automatic identifying method flow chart；
Fig. 2 is the affiliated platform area integrated decision-making figure of user's electric energy meter.
Specific embodiment
Below in conjunction with attached drawing, a preferred embodiment of the present invention will be described in detail.
Fig. 1 is a kind of electric energy meter platform area automatic identifying method flow chart, and Fig. 2 is the affiliated platform area integrated decision-making of user's electric energy meter
Figure.It is as shown in the figure: a kind of electric energy meter platform area provided by the invention automatic identifying method, comprising the following steps:
S1: using known correct platform area data acquire the voltage of certain several moment platforms area's summary table and user's electric energy meter with
Performance number；
S2: a voltage loss model is established using the voltage and performance number of acquisition；
S3: voltage loss model and user's electric energy meter data to be identified are utilized, each area's summary table of each moment is estimated
The voltage of every phase；
S4: the data of estimated value and actual value based on certain every phase voltage of several moment platforms area summary table calculate theirs
Spearman rank correlation coefficient；
S5: using the Spearman rank correlation coefficient of actual value and estimated value, platform belonging to integrated decision-making user's electric energy meter
Area；
Further, certain several moment platforms area's summary table is acquired using known correct platform area data in the step S1 and use
The voltage of family electric energy meter and performance number method particularly includes: every 1~15 minute in certain number of days, user of synchronous acquisition
Electric energy meter voltage Vu, power WuPlatform area summary table is corresponded to user's electric energy meter in the voltage V of corresponding phaset, power Wt.Last root
According to the data of acquisition, a training dataset D (W is constructedu Vu,Wt,Vt)；
Further, a voltage loss model is established using the voltage and performance number of acquisition in the S2, including following
Specific steps:
S21: by collected training dataset D use zero-mean value standardization method normalized, eliminate them it
Between dimension, obtain new training dataset D*Specific conversion formula are as follows:
S22: according to gradient descent method principle, by making objective function Local Minimum, to obtain the ginseng of voltage loss model
Number (k0,k1,k2,k3)；
Further, the objective function in the S22 is
Wherein, λ is regularization parameter, and m is training dataset D*The sample size of middle acquisition,Respectively
For training set D*In i-th of sample.
Further, voltage loss model and user's electric energy meter data to be identified are utilized in the step S3, are estimated each
The voltage of each every phase of area's summary table of moment, comprising the following specific steps
S31: every 15 minutes in 30 days, the primary user's electric energy meter voltage V to be identified of synchronous acquisitionux, power WuxWith it is every
Voltage V of the area the Ge Tai summary table in each phaset, power Wt.Finally according to the collected data, 3 × k number of building is according to collection Tij(Wux
Vux,Wtij,Vtij).Wherein, k is the total quantity in platform area, and i is platform area number, one in j A, B, C phase；
S32: by data set TijIn every data according in S21 mean value and variance standardize；
S33: according to voltage loss model, each each phase in area is estimated in the voltage value at corresponding moment.Voltage damage
Consume the specific formula of model are as follows:
Wherein, V 'tijI-th area's summary table is represented in the voltage estimated value of j phase, Vux、WuxRespectively represent user to be identified
Electric energy meter voltage and power, Wtij V′tijI-th area's summary table is represented in the power of j phase.
Further, the number of the estimated value based on certain every phase voltage of several moment platforms area summary table in the step S4 and actual value
According to, their Spearman rank correlation coefficient is calculated, comprising the following specific steps
S41: by each data set TijThe voltage estimated value and actual value of obtained i-th area jth phase are respectively from small
To big sequence, corresponding rank R is calculatediAnd Qi；
S42: according to calculated rank, Spearman rank correlation coefficient, specific formula are calculated are as follows:
Further, the Spearman rank correlation coefficient of actual value and estimated value is utilized in the step S5, integrated decision-making is used
Platform area belonging to the electric energy meter of family, comprising the following specific steps
S51: calculated three correlation coefficient rs in i-th area are takeniA、riB、riCIn maximum value square be used as platform area
Degree of correlation ri 2；
S52: Ruo Tai area degree of correlation ri 2(0≤r2≤ 1, ri 2Closer to 1 user's electric energy meter and i-th area's correlation
It is stronger) it is less than γ1(threshold value is rule of thumb provided by expert), then remove in i-th area from alternative platform area；
S53: in remaining alternative platform area, the maximum r of the degree of correlation is foundi 2, then user's electric energy meter to be identified just belongs to
I-th area；
S54: it if can not finally be matched to suitable platform area, is analyzed again after obtaining more data.Repeat step
S3 to S5 can identify more user's electric energy meters, no longer need to building loss of voltage model.
Method of the present embodiment based on ridge regression and Spearman rank correlation proposes a kind of electric energy meter platform area automatic identification
Method can not only effectively identify platform area belonging to user's electric energy meter, can also provide corresponding related coefficient, to provide
Accurate platform area identification, promotes power grid security effectively to run.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical
It crosses above preferred embodiment the present invention is described in detail, however, those skilled in the art should understand that, can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (6)
1. a kind of electric energy meter platform area automatic identifying method, it is characterised in that: method includes the following steps:
S1: the voltage and power of several moment platforms area's summary table Yu user's electric energy meter are acquired using known correct platform area data
Value；
S2: a voltage loss model is established using collected voltage and performance number；
S3: voltage loss model and user's electric energy meter data to be identified are utilized, each every phase of area's summary table of each moment is estimated
Voltage；
S4: the data of estimated value and actual value based on the every phase voltage of moment platform area summary table calculate theirs
Spearman rank correlation coefficient；
S5: using the Spearman rank correlation coefficient of actual value and estimated value, belonging to integrated decision-making user's electric energy meter to be identified
Platform area.
2. a kind of electric energy meter platform area according to claim 1 automatic identifying method, it is characterised in that: the step S1 is specific
Are as follows:
Every 1~15 minute in certain number of days, user's electric energy meter voltage V of synchronous acquisitionu, power WuWith user's electric energy
Table corresponds to platform area summary table in the voltage V of corresponding phaset, power Wt；Finally according to the collected data, a training dataset D is constructed
(Wu Vu,Wt,Vt)。
3. a kind of electric energy meter platform area according to claim 1 automatic identifying method, it is characterised in that: the step S2 is specific
Are as follows:
S21: collected training dataset D is used to the method normalized of zero-mean value standardization, is eliminated between them
Dimension obtains new training dataset D*Specific conversion formula are as follows:
S22: according to gradient descent method principle, by making objective function Local Minimum, to obtain the parameter (k of voltage loss model0,
k1,k2,k3)；Objective function are as follows:
Wherein, λ is regularization parameter, and m is training dataset D*The sample size of middle acquisition,Wt (i),Vt (i)Respectively
Training set D*In i-th of sample.
4. a kind of electric energy meter platform area according to claim 1 automatic identifying method, it is characterised in that: the S3 specifically:
S31: every 1~15 minute in certain number of days, the primary user's electric energy meter voltage V to be identified of synchronous acquisitionux, power WuxWith
Voltage V of each area's summary table in each phaset, power Wt；Finally according to the collected data, 3 × k number of building is according to collection Tij
(Wux Vux,Wtij,Vtij)；Wherein, k is the total quantity in platform area, and i is platform area number, one in j A, B, C phase；
S32: by data set TijIn every data according in S21 mean value and variance standardize；
S33: according to voltage loss model, each each phase in area is estimated in the voltage value at corresponding moment；Voltage loss mould
The specific formula of type are as follows:
Wherein, V 'tijI-th area's summary table is represented in the voltage estimated value of j phase, Vux、WuxRespectively represent user's electric energy meter to be identified
Voltage and power, Wtij V′tijI-th area's summary table is represented in the power of j phase.
5. a kind of electric energy meter platform area according to claim 1 automatic identifying method, it is characterised in that: the S4 specifically:
S41: by each data set TijVoltage estimated value and the actual value difference of obtained i-th area jth phase are from small to large
Sequence, calculates corresponding rank RiAnd Qi；
S42: according to calculated rank, Spearman rank correlation coefficient, specific formula are calculated are as follows:
6. a kind of electric energy meter platform area according to claim 1 automatic identifying method, it is characterised in that: the S5 specifically:
S51: calculated three correlation coefficient rs in i-th area are takeniA、riB、riCIn maximum value square be used as platform Qu Xiangguan
Spend ri 2；
S52: Ruo Tai area degree of correlation ri 2Less than γ1, then i-th area is removed from alternative platform area；Wherein, 0≤r2≤ 1, ri 2
It is stronger closer to 1 user's electric energy meter and i-th area's correlation；γ1For threshold value, rule of thumb obtain；
S53: in remaining alternative platform area, the maximum r of the degree of correlation is foundi 2, then user's electric energy meter to be identified just belongs to i-th
Platform area；
S54: it if can not finally be matched to suitable platform area, is analyzed again after obtaining more data；Step S3 is repeated to arrive
S5 identifies more user's electric energy meters, no longer needs to building loss of voltage model.
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| CN115508662A (en) * | 2022-11-23 | 2022-12-23 | 青岛鼎信通讯股份有限公司 | Method for judging affiliation relationship between district ammeter and meter box |
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| CN115508662A (en) * | 2022-11-23 | 2022-12-23 | 青岛鼎信通讯股份有限公司 | Method for judging affiliation relationship between district ammeter and meter box |
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