CN114912519A - Transformer area phase identification method considering incomplete data - Google Patents
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Abstract
The invention discloses a platform area phase identification method considering incomplete data, which comprises the following steps: acquiring three-phase voltage data of all transformer area users and transformers in each transformer area, completing lost data, and then performing normalization processing; performing voltage feature extraction based on the normalized data to obtain a transformer area user voltage feature matrix and each phase voltage feature matrix of each transformer; comparing the voltage characteristic data in the transformer area user voltage characteristic matrix with the voltage characteristic data in each phase voltage characteristic matrix of each transformer area to obtain the transformer area and the phase of each user; and outputting the phase information of each user in each area. The method and the device realize the identification of the phase of the transformer area of the user by utilizing the similarity between the voltage characteristics of the single-phase user in the low-voltage transformer area and the phase of the transformer substation in the transformer area, can effectively improve the identification precision, efficiency and stability of the phase identification of the transformer area, and reduce the cost.
Description
Technical Field
The invention relates to the technical field of station area phase identification, in particular to a station area phase identification method considering incomplete data.
Background
Along with the continuous mature development of the electricity consumption information acquisition technology, the power consumption reading success rate and accuracy are also remarkably improved, in particular to the popularization and application of the HPLC communication technology in recent years, the high-frequency acquisition of 15-minute curve data of the electric energy meter of a resident user in a low-voltage distribution area is realized, the service requirements of a power supply company are also continuously improved, such as the distribution area attribution relationship and the electric meter phase relationship, the reason analysis of public variable load unbalance, the line loss analysis requirement is more refined, the line potential safety hazard requirement is early-warned in advance, the fault first-aid repair requirement is timely and the like.
In recent years, the low-voltage transformer area has realized the full coverage of the intelligent electric meter, the quality of the electricity consumption measurement data of the transformer area is improved, and the possibility is provided for the data-driven user topology identification. The current distribution area phase identification adopts a phase identification instrument, only one user can be identified at one time, the identification speed is low, the price is high, the carrying is difficult, and the requirements of power supply companies can not be met. Therefore, in order to meet the gradually-increasing business requirements of power supply companies, the line topology relationship of the low-voltage distribution area and the phase relationship of the electric energy meters of the residential users are very important.
Disclosure of Invention
The invention aims to provide a platform area phase identification method considering incomplete data, which improves the efficiency of platform area phase identification and reduces the cost. The technical scheme adopted by the invention is as follows.
In one aspect, the present invention provides a method for identifying a phase of a distribution area based on incomplete data, including:
acquiring user voltage data of the transformer area and three-phase voltage data of the transformer of each transformer area, and completing lost data;
respectively carrying out normalization processing on the voltage data of the transformer area users and the three-phase voltage data of the transformer in each transformer area after the completion processing;
performing voltage characteristic extraction based on the data after normalization processing to obtain a transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer;
comparing voltage characteristic data in the transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer area to obtain the area and the phase of each user;
and outputting the phase information of each user in each area.
In the invention, the acquired transformer area user voltage data can be user voltage data acquired by the intelligent electric meter.
Optionally, the complementing the lost data according to the voltage data of the subscriber in the distribution room includes:
s11, determining an initial voltage matrix U:
wherein m is the number of users in the transformer area, n is the number of time points of voltage measurement, and the column vector U of U j ＝[u 1,j ,u 2,j ,…,u m,j ] T A row vector U representing the voltage measurements of different users, U, measured at the same time point j i ＝[u i,1 ,u i,2 ,…,u i,n ]Represents the voltage measurements of a single user i at different points in time, x being the missing data;
s12, completing missing data in the initial voltage matrix U according to the following equation:
the completed matrix can be represented as U * ：
Optionally, the normalization processing adopts a Z-score normalization method, wherein the normalized voltage data of the subscriber area after the completion processing is performed, and a normalized voltage matrix is obtained
Wherein, the u in the matrix after the completion processing i,j The formula for normalization is:
μ i to complement the processed matrix U * Average value of voltage data, σ, for a single user i i The standard deviation of the voltage data of a single user i;
normalized voltage matrix
Expressed as:
optionally, the voltage characteristic extraction based on the data after the normalization processing is performed by extracting fluctuation characteristic parameters of the voltage data, where the fluctuation characteristic parameters of the voltage include a voltage standard deviation
Slope of voltage curve
The voltage fluctuation characteristic parameters corresponding to the transformer area user voltage data are calculated and extracted according to the following formula:
in the formula (I), the compound is shown in the specification,
the average value of the data collected by a single user in the normalized voltage matrix;
at this time, a station area user voltage characteristic matrix can be obtained, and is represented as:
referring to the method for processing the station user voltage data to obtain the characteristic matrix, the three-phase voltage characteristic matrix of each station can be obtained in the same way:
wherein the content of the first and second substances,
the voltage characteristic matrixes of the three phases of the K transformer A, B, C are respectively. At the moment, the characteristic parameter matrix of the station area user is determined
Three-phase voltage characteristic matrix respectively connected with transformer
Comparing to obtain the region type of the user in the regionAnd phase.
Optionally, the voltage characteristic data in the transformer area user voltage characteristic matrix and the voltage characteristic data in the voltage characteristic matrix of each phase of each transformer are compared:
for each user, comparing the corresponding voltage characteristic parameters with the voltage characteristic parameters in the A, B, C three-phase voltage characteristic matrix of all the transformer areas, and determining the transformer area phase corresponding to the voltage characteristic parameter with the highest similarity as the transformer area and phase of the corresponding user.
The technical scheme applies the associated characteristic that the voltage characteristic of the single-phase user is most similar to the phase voltage characteristic of the corresponding transformer in the transformer area, and the reliability of the identification result can be guaranteed.
In a second aspect, the present invention provides a station area phase identifying apparatus, including:
the data preprocessing module is configured for acquiring transformer area user voltage data and transformer three-phase voltage data of each transformer area and completing lost data;
the data normalization module is configured for respectively performing normalization processing on the supplemented transformer area user voltage data and transformer three-phase voltage data of each transformer area;
the characteristic extraction module is configured for performing voltage characteristic extraction based on the data after the normalization processing to obtain a transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer area;
the characteristic matching module is configured to compare voltage characteristic data in the transformer area user voltage characteristic matrix and the voltage characteristic matrix of each phase of the transformer of each transformer area to obtain the transformer area and the phase of each user;
and the identification result output module is configured to output the phase information of each user in each station area.
Optionally, the data preprocessing module completes the lost data according to the following formula:
wherein u is i,j Data representing ith row and jth column in voltage data matrix, j ∈ [1, n ∈ ]]N represents the number of time points of data acquisition, and in the voltage data matrix, i represents different users or different transformers.
Optionally, the data normalization module performs new normalization processing by using a Z-score normalization method, where the normalization formula is as follows:
in the formula, mu i To complement the average value, σ, of the voltage data in the ith row of the matrix after processing i Is the standard deviation of the voltage data of the ith row.
Optionally, the voltage characteristic extraction module performs voltage characteristic extraction by extracting fluctuation characteristic parameters of the voltage data, where the voltage fluctuation characteristic parameters include a voltage standard deviation
Slope of voltage curve
The extraction is calculated by the following formula:
in the formula (I), the compound is shown in the specification,
is the average value of the ith row of data in the normalized voltage matrix.
In a third aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the station area phase identifying method as described in the first aspect.
Advantageous effects
According to the method, the similarity relation between the user voltage characteristics of the single-phase electric energy meter in the low-voltage transformer area and the phase voltage characteristics of the transformer is utilized, and the characteristic extraction and similarity matching are carried out on the basis of voltage data obtained in batches, so that the efficiency of phase identification of the transformer area can be obviously improved. Meanwhile, the accuracy of the phase recognition result can be effectively improved by supplementing the voltage missing data and carrying out normalization processing on the voltage matrix.
Drawings
Fig. 1 is a schematic flow chart of a station area phase identification method according to the present invention;
fig. 2 is a schematic diagram illustrating a user voltage phase identification result in an application example of the method of the present invention.
Detailed Description
The following further description is made in conjunction with the accompanying drawings and the specific embodiments.
Example 1
The embodiment introduces a station area phase identification method considering incomplete data, which includes:
acquiring user voltage data of the transformer area and three-phase voltage data of the transformer of each transformer area, and completing lost data;
respectively carrying out normalization processing on the supplemented transformer area user voltage data and transformer three-phase voltage data of each transformer area;
performing voltage characteristic extraction based on the data after normalization processing to obtain a transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer;
comparing voltage characteristic data in the transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer area to obtain the area and the phase of each user;
and outputting the phase information of each user in each area.
Referring to fig. 1, the specific implementation steps of this embodiment are described as follows.
First, voltage data acquisition
The data that needs to obtain include district user voltage data and the three-phase voltage data of each transformer in each district, and relevant data can be obtained from current channel, and district user voltage data can be the voltage data that smart electric meter gathered, because data acquisition or transmission process probably have the situation of losing, therefore the data matrix that finally obtains is incomplete data matrix, for example, for the district user, the initial voltage matrix that corresponds is:
wherein m is the number of users in the transformer area, n is the number of time points of voltage measurement, and the column vector U of U j ＝[u 1,j ,u 2,j ,…,u m,j ] T A row vector U representing the voltage measurements of different users, U, measured at the same time point j i ＝[u i,1 ,u i,2 ,…,u i,n ]Represents the voltage measurements of a single user i at different points in time, x being the missing data;
for the three-phase voltage data of the transformer in the transformer area, three initial voltage data matrixes corresponding to different phases can be obtained:
the matrix comprises a plurality of transformer areas, wherein K is the number of all transformer areas, transverse vectors in the matrix represent phase voltage data collected by a certain phase of the same transformer area at different time points, and column vectors represent same-phase voltage data collected by all transformer areas at the same time point. There may also be missing data in this initial voltage data matrix, which is not identified above.
Second, missing data completion
In this embodiment, the missing data is complemented according to the following formula:
wherein u is i,j Data representing ith row and jth column in voltage data matrix, j ∈ [1, n ∈ ]]N represents the time point number of data acquisition, i represents different users in a user voltage data matrix, and i represents different transformers in a transformer three-phase voltage data matrix.
For example, for the user voltage data matrix U, the completed matrix may be represented as U * ：
Thirdly, data normalization processing
In this embodiment, a Z-score normalization method is used to normalize the voltage data, and the compensated transformer area user voltage data and the transformer area voltage data are processed separately to obtain a normalized user voltage matrix
Normalization transformer A phase voltage matrix
B-phase voltage matrix of normalized transformer
And normalizing the transformer C phase voltage matrix
Such as
Expressed as:
the formula of the normalization process is:
in the formula, mu i To complement the average value, σ, of the voltage data in the ith row of the matrix after processing i Is the standard deviation of the voltage data of the ith row.
Fourthly, extracting voltage characteristic parameters
According to the characteristic of voltage characteristic similarity, if a voltage phase of a certain user belongs to a certain phase of a transformer in a certain transformer area, compared with the characteristics of voltages of all phases of other transformer areas, the voltage characteristic parameter of the user is most similar to the voltage characteristic parameter on the corresponding phase of the transformer in the certain transformer area, so that the transformer area and the phase of each user are judged through characteristic comparison in the embodiment.
Specifically, the embodiment selects the fluctuation characteristic parameter of the voltage data as a basis for comparison, wherein the voltage fluctuation characteristic parameter includes a voltage standard deviation
Slope of voltage curve
Can be calculated according to the following formula:
in the formula (I), the compound is shown in the specification,
is the average value of the ith row of data in the normalized voltage matrix.
According to the formula, for the user voltage matrix after normalization processing, the voltage standard deviation and the voltage curve slope corresponding to each user can be calculated, and for the voltage matrix of each phase of the transformer in the transformer area after normalization processing, the voltage standard deviation and the voltage curve slope of each phase of the transformer in each transformer area can be calculated.
The station area user voltage characteristic matrix is expressed as:
the A, B, C three-phase voltage characteristic matrixes of the K transformer areas are respectively as follows:
fifthly, comparing the similarity of the voltage characteristic parameters to determine the station area and the phase of the user
During feature matching, corresponding to each user, respectively traversing
And comparing the voltage characteristic parameters of the transformers in each transformer area with the two voltage characteristic parameters of the user to obtain a group of voltage characteristic parameters most similar to the voltage characteristic parameters of the user, wherein the transformers and the phases corresponding to the group of voltage characteristic parameters are the transformer areas and the transformer phases of the user.
In the above traversal comparison manner, the station areas and the transformer phases to which the users belong can be obtained, such as the user phase identification result shown in fig. 2.
Sixthly, outputting the recognition result
After the station area and the transformer phase to which each user belongs are identified, user and user phase information under each station area can be further obtained, and the user and phase information in each station area can be output.
Example 2
Based on the same inventive concept as embodiment 1, this embodiment introduces a station area phase identifying apparatus, including:
the data preprocessing module is configured for acquiring transformer area user voltage data and transformer three-phase voltage data of each transformer area and completing lost data;
the data normalization module is configured for respectively performing normalization processing on the supplemented transformer area user voltage data and transformer three-phase voltage data of each transformer area;
the characteristic extraction module is configured for carrying out voltage characteristic extraction based on the data after the normalization processing to obtain a transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer area;
the characteristic matching module is configured to compare voltage characteristic data in the transformer area user voltage characteristic matrix and the voltage characteristic matrix of each phase of the transformer of each transformer area to obtain the transformer area and the phase of each user;
and the identification result output module is configured to output the phase information of each user in each station area.
The specific functions of the functional modules are implemented with reference to the related contents in the method in embodiment 1, and are not described in detail.
Example 3
This embodiment describes a computer-readable storage medium on which a computer program is stored which, when executed by a processor, implements the steps of the station phase identification method as described in embodiment 1.
With the above embodiments, those skilled in the art will appreciate that the embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the present invention has been described with reference to the particular illustrative embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is intended to cover various modifications, equivalent arrangements, and equivalents thereof, which may be made by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method for identifying a station area phase considering incomplete data is characterized by comprising the following steps:
acquiring user voltage data of the transformer area and three-phase voltage data of the transformer of each transformer area, and completing lost data;
respectively carrying out normalization processing on the supplemented transformer area user voltage data and transformer three-phase voltage data of each transformer area;
performing voltage characteristic extraction based on the data after normalization processing to obtain a transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer;
comparing voltage characteristic data in the transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer area to obtain the area and the phase of each user;
and outputting the phase information of each user in each area.
2. The method of claim 1, wherein said complementing missing data for the corresponding cell subscriber voltage data comprises:
s11, determining an initial voltage matrix U:
wherein m is the number of users in the transformer area, n is the number of time points of voltage measurement, and the column vector U of U j ＝[u 1,j ,u 2,j ,…,u m,j ] T A row vector U representing the voltage measurements of different users, U, measured at the same time point j i ＝[u i,1 ,u i,2 ,…,u i,n ]Represents the voltage measurements of a single user i at different points in time, x being the missing data;
s12, completing the missing data in the initial voltage matrix U according to the following formula:
the completed matrix is denoted as U * ：
3. The method as claimed in claim 1, wherein the normalization process is a Z-score normalization process, wherein the normalized voltage matrix is obtained by normalizing the supplemented subscriber voltage data of the distribution room
Wherein, the u in the matrix after the completion processing i,j The formula for normalization is:
μ i to complement the processed matrix U * Average value of voltage data, σ, for a single user i i The standard deviation of the voltage data of a single user i;
normalized voltage matrix
Expressed as:
4. the method as claimed in claim 3, wherein the voltage characteristic extraction is performed based on the normalized data by extracting a fluctuation characteristic parameter of the voltage data, the voltage fluctuation characteristic parameter including a voltage standard deviation
Slope of voltage curve
The voltage fluctuation characteristic parameters corresponding to the transformer area user voltage data are calculated and extracted according to the following formula:
in the formula (I), the compound is shown in the specification,
the average value of the data collected by a single user in the normalized voltage matrix;
the station area user voltage characteristic matrix is expressed as:
5. the method of claim 1, wherein the comparing the voltage signature data in the zone user voltage signature matrix and the voltage signature matrix of each phase of the zone transformer comprises:
for each user, comparing the corresponding voltage characteristic parameters with the voltage characteristic parameters in the A, B, C three-phase voltage characteristic matrix of all the transformer areas, and determining the transformer area phase corresponding to the voltage characteristic parameter with the highest similarity as the transformer area and phase of the corresponding user.
6. A station area phase recognition device is characterized by comprising:
the data preprocessing module is configured for acquiring transformer area user voltage data and transformer three-phase voltage data of each transformer area and completing lost data;
the data normalization module is configured for respectively performing normalization processing on the supplemented transformer area user voltage data and transformer three-phase voltage data of each transformer area;
the characteristic extraction module is configured for carrying out voltage characteristic extraction based on the data after the normalization processing to obtain a transformer area user voltage characteristic matrix and each phase voltage characteristic matrix of each transformer area;
the characteristic matching module is configured to compare voltage characteristic data in the transformer area user voltage characteristic matrix and the voltage characteristic matrix of each phase of the transformer of each transformer area to obtain the transformer area and the phase of each user;
and the identification result output module is configured to output the phase information of each user in each station area.
7. The device for identifying the station area phase according to claim 6, wherein the data preprocessing module completes the missing data according to the following formula:
wherein u is i,j Data representing ith row and jth column in voltage data matrix, j ∈ [1, n ∈ ]]N represents the number of time points of data acquisition, and in the voltage data matrix, i represents different users or different transformers.
8. The device for identifying the station area phase as claimed in claim 6, wherein the data normalization module performs the new normalization process by using a Z-score normalization method, and the normalization formula is as follows:
in the formula (I), the compound is shown in the specification,
is to u i,j Normalizing the processed data u i,j For the voltage data of ith row and jth column in the matrix after completion processing, mu i To complement the average value, σ, of the voltage data in the ith row of the matrix after processing i Is the standard deviation of the voltage data of the ith row.
9. The device for identifying phase of distribution room as claimed in claim 8, wherein said feature extraction module performs voltage feature extraction by extracting fluctuation feature parameters of voltage data, the voltage fluctuation feature parameters including standard deviation of voltage
Slope of voltage curve
The extraction is calculated by the following formula:
in the formula (I), the compound is shown in the specification,
is the average value of the ith row of data in the normalized voltage matrix.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method for station phase identification according to any one of claims 1 to 5.
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| CN115800287B (en) * | 2022-10-27 | 2023-10-27 | 深圳市国电科技通信有限公司 | Low-voltage area topology identification method based on threshold segmentation clustering |
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