CN117131355A - Method and device for identifying looks at home - Google Patents
Method and device for identifying looks at home Download PDFInfo
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract
The invention relates to a topological relation recognition system of a power system, in particular to a method and a device for recognizing a phase user. A method of identifying a phase user, comprising: acquiring electricity utilization characteristic data of a first node and a second node; inputting the electricity utilization characteristic data into a household identification model to obtain a household relationship identification result; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law. Only the electricity utilization characteristic data of the first node and the second node are required to be obtained, so that the identification result of the relationship between the looks and the family is obtained rapidly based on the looks and family identification model, and the looks and family identification work is not required to be completed manually. And moreover, the phase user identification model is constructed based on a graph signal smoothness rule and a node current law, so that the phase user identification is not influenced by the grid connection of the new energy unit in the active low-voltage transformer area, and the phase user identification model has higher robustness on data errors.
Description
Technical Field
The invention relates to a topological relation recognition system of a power system, in particular to a method and a device for recognizing a phase user.
Background
The construction of a novel power system mainly based on new energy is an important way for realizing a double-carbon target. The accurate low-voltage topological connection relationship is an important basis for supporting a novel power system. The low-voltage topological relation refers to a physical connection line between a transformer, a three-phase low-voltage bus, each level of branch feeder lines and users (variable-phase-line-user). The invention focuses on the connection relationship between a three-phase low-voltage bus and a user, namely the phase-user relationship.
Under the development background of a novel power system, the low-voltage transformer area is a main battlefield for absorbing distributed new energy units such as roof photovoltaics and the like, and the traditional passive low-voltage transformer area is gradually changed into an active low-voltage transformer area. The jump change and bidirectional trend generated by the intermittent ultra-high permeability new energy unit grid connection will subvert many characteristics in the traditional low-voltage transformer area. The transition of network operation from unidirectional to bidirectional flow will result in a change in the timeliness of the user and grid operation data.
The traditional method for identifying the low-voltage correlation is mainly dependent on the operation and maintenance experience of an electrician master in charge of each area and an artificial check mode. In addition to the manual verification, a few studies have proposed methods for determining the relationship of the station area user changes using signal transmitting devices and smart meter data analysis. The paper documents [ Li Mingwei, zhang Chuanyuan, ma Xiaokun, etc. ] low-voltage distribution transformer area network topology and phase automatic identification technology research [ J ]. Electrical age, 2018 (10): 62-63] disclose an electric energy meter power supply phase identification system, and the electric energy meter power supply phase sequence identification is realized through the transceiving of a power supply phase identification carrier signal. Patent literature with publication number of CN206208987U and name of an electric energy meter power supply phase identification system discloses a power phase identification method based on carrier communication, and user phase sequence identification is realized by judging the transceiving time of a specific message by utilizing the cross-phase coupling characteristic of narrow-band power carrier communication. However, the technologies disclosed in the above two documents require adding a large number of terminal devices in the low-voltage distribution network, and have the problems of high accuracy requirement, large investment, difficult operation and maintenance and the like of electronic handover, and meanwhile, the technologies have high requirement on clock synchronism of a concentrator and an ammeter and are greatly influenced by communication.
The paper literature [ Lai Zhou, qinhao Li, yongjun Zhang, et al Consumer phase identification under incomplete data condition with dimensional calibration [ J ], international Journal of Electrical Power & Energy Systems, vol.2021,129:106851] combines positioning indexes and multidimensional correlation characteristics, describes a multidimensional correction theory capable of correcting phase sequence connection relations far away from low-voltage bus users, and builds a diversified phase user identification model facing incomplete data. The paper literature [ Short, tom A.advanced metering for phase identification, transformer identification, and secondary modeling [ J ]. IEEE Transactions on Smart Grid,2013,4 (2): 651-658] uses the correlation of the ammeter and the distribution transformer three-phase bus voltage curve to determine the relationship between the households. However, the techniques disclosed in the foregoing two documents rely on the characteristic that "the voltage correlation of the users located in the same phase sequence is higher than the voltage correlation between the users of different phase sequences". In the active low-voltage transformer area, the new energy unit is connected with the grid to bring bidirectional tide. At this time, due to the time sequence difference of the voltage data between the in-phase users, the voltage correlation of the users located in the same phase sequence may be lower than the voltage correlation between the users in different phase sequences, so that the application in the active low-voltage area is poor.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention aims to provide a method and a device for identifying a phase user, which are used for solving the technical problem that the existing phase user identification technology cannot be adapted to an active low-voltage station area.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in one aspect, the present invention provides a method for identifying a photo album, including:
acquiring electricity utilization characteristic data of a first node and a second node;
inputting the electricity utilization characteristic data into a household identification model to obtain a household relationship identification result; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law.
Further, the process for acquiring the electricity utilization characteristic data includes:
acquiring power utilization time sequence data of the first node and the second node; the power utilization time sequence data comprises voltage time sequence data and current time sequence data;
constructing an electricity utilization time sequence matrix to form the electricity utilization characteristic data; the power utilization timing matrix comprises a voltage data matrix and a current data matrix.
Further, the phase user identification model is as follows:
wherein P is a relationship matrix containing relationship information of the households; alpha 1 、α 2 、α 3 Super parameters of a graph signal smoothness target, a node current law target and a graph structure sparsity target are respectively obtained; u is a voltage data matrix of the first node and the second node; i is a current data matrix of the first node and the second node; i P A current data matrix for the first node; y is an auxiliary variable matrix for reducing the influence of voltage data metering errors on the signal smoothness of the voltage diagram; l is a Laplacian matrix of an active low-voltage station area topological graph structure to be solved; g is a constant matrix of m x m-dimensions; e is m x m-dimensional identity matrix; d is a degree matrix of metering points in the topological graph structure of the active low-voltage area; II F 2 Representing the square of the F-norm of the matrix.
Further, the obtaining the correlation recognition result specifically includes:
and inputting the electricity utilization characteristic data into the phase user recognition model, and solving the phase user recognition model by using an alternate direction multiplier method to obtain the phase user relationship recognition result.
Further, the first node is a metering point of a three-phase low-voltage bus of the active low-voltage transformer area; the second node is a metering point of the user; the metering point comprises a smart meter.
In another aspect, the present invention provides a method for identifying a photo album, including:
responding to a phase user identification instruction sent by a first terminal, and sending a data acquisition request to a second terminal; the second terminal comprises a concentrator and a distribution transformer terminal;
receiving power utilization characteristic data of a first node and a second node fed back by the second terminal; inputting the electricity utilization characteristic data into a household identification model to obtain a household relationship identification result; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law;
and sending the household relationship identification result to a target terminal, wherein the target terminal comprises the first terminal and other appointed management terminals.
Further, the first terminal comprises a mobile terminal, a PC (personal computer) terminal and a server.
In another aspect, the present invention provides a phase user identification apparatus, including:
the acquisition module is used for acquiring the electricity utilization characteristic data of the first node and the second node;
the processing module is used for inputting the electricity utilization characteristic data into a looks family identification model to obtain looks family relation identification results; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law.
In another aspect, the present invention provides a phase user identification apparatus, including: the system comprises a main control module, a communication module and a home identification module, wherein the communication module and the home identification module are respectively connected with the main control module; the phase user recognition module is provided with a phase user recognition model, and the phase user recognition model is constructed based on a graph signal smoothness rule and a node current law;
the main control module responds to a phase user identification instruction sent by the first terminal and sends a data acquisition request to the second terminal through the communication module; and receiving power utilization characteristic data of the first node and the second node fed back by the second terminal through the communication module; inputting the electricity utilization characteristic data into a real-time household identification module to obtain a household relationship identification result; further, the correlation recognition result is sent to the first terminal; the second terminal comprises a concentrator and a distribution transformer terminal.
In another aspect, the present invention provides a phase user identification apparatus, including:
a memory storing a computer program;
and the processor executes the computer program to realize the method for identifying the photo user.
Compared with the prior art, the method and the device for identifying the looks at the user have the following beneficial effects:
only the electricity utilization characteristic data of the first node and the second node are required to be obtained, so that the identification result of the relationship between the looks and the family is obtained rapidly based on the looks and family identification model, and the looks and family identification work is not required to be completed manually. And moreover, the phase user identification model is constructed based on a graph signal smoothness rule and a node current law, so that the phase user identification is not influenced by the grid connection of the new energy unit in the active low-voltage transformer area, and the phase user identification model has higher robustness on data errors.
Drawings
Fig. 1 is a flowchart of a method for identifying a subscriber.
Fig. 2 is a flowchart of an embodiment of a method for identifying a subscriber.
Fig. 3 is a flowchart of a phase user identification method applied to a phase user identification device provided by the invention.
Fig. 4 is a block diagram of a phase user identification device according to the present invention.
Fig. 5 is a block diagram of another subscriber identity module device according to the present invention.
Fig. 6 is a flowchart of an application of the subscriber identity module device provided by the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and more specific, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Those of ordinary skill in the art will realize that the foregoing general description and the following detailed description are illustrative of specific embodiments of the present invention and are not intended to be limiting.
The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps, but may include other steps not expressly listed or inherent to such process or method. Likewise, without further limitations, one or more devices or subsystems beginning with "comprising". A "neither does an element or structure or component have no further limitations, excluding the presence of other devices or other subsystems or other elements or other structures or other components or other devices or other subsystems or other elements or other structures or other components. The appearances of the phrases "in one embodiment," "in another embodiment," and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
Referring to fig. 1 and 2, the present invention provides a method for identifying a user, which includes:
s1, acquiring electricity utilization characteristic data of a first node and a second node;
further, as a preferred solution, in this embodiment, the first node is a metering point of a three-phase low-voltage bus of the active low-voltage transformer area; the second node is a metering point of the user; the metering point comprises a smart meter. Of course, if the topological relation between the transformer and the three-phase bus is needed, the first node and the second node are replaced by the transformer and the three-phase bus respectively.
S2, inputting the electricity utilization characteristic data into a looks family identification model to obtain looks family relation identification results; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law.
By using the phase user identification method provided by the invention, only the power utilization characteristic data of the first node and the second node are required to be acquired, so that the phase user relationship identification result is rapidly obtained based on the phase user identification model, and the phase user identification work is not required to be completed manually. Bidirectional tide brought by grid connection of the distributed new energy power generation device in the active low-voltage transformer area can change the voltage association characteristic among users. Traditional phase user identification methods based on voltage data rely on the characteristic that the voltage correlation of users located in the same phase sequence is higher than the voltage correlation among users in different phase sequences. Under bidirectional currents, the voltage correlation of users in the same phase sequence may be lower than the voltage correlation of users in different phase sequences due to the time sequence difference of voltage data among users in the same phase sequence. The phase user identification model is constructed based on the graph signal smoothness rule and the node current law, and the identification process does not depend on the voltage correlation characteristic among the phase users, so that the phase user identification model is not influenced by the grid connection of the new energy unit in the active low-voltage transformer area, and meanwhile, the identification model has higher robustness to data errors due to the fact that the node current constraint is applied.
Further, in this embodiment, the process of obtaining the electricity consumption characteristic data includes:
acquiring power utilization time sequence data of the first node and the second node; the power utilization time sequence data comprises voltage time sequence data and current time sequence data;
constructing an electricity utilization time sequence matrix to form the electricity utilization characteristic data; the power utilization timing matrix comprises a voltage data matrix and a current data matrix. Specifically, the current data matrix i= [ I ] P ；I C ]Wherein I P And I C Representing the current matrix of the three-phase low-voltage bus (i.e., the first node) and the user (i.e., the second node), respectively. The power utilization time sequence data are converted into matrix data, so that the subsequent user identification model is greatly convenient to carry out identification calculation.
Further, as a preferred solution, in this embodiment, the phase user identification model is a mathematical model, specifically:
wherein P is a relationship matrix containing relationship information of the households; alpha 1 、α 2 、α 3 Super parameters of a graph signal smoothness target, a node current law target and a graph structure sparsity target are respectively obtained; u is a voltage data matrix of the first node and the second node; i is a current data matrix of the first node and the second node; i P A current data matrix for the first node; y is an auxiliary variable matrix for reducing the influence of voltage data metering errors on the signal smoothness of the voltage diagram; l is the active low to be solvedA Laplacian matrix of a topological graph structure of the platform area; g is a constant matrix of m x m-dimensions; e is m x m-dimensional identity matrix; d is a degree matrix of metering points in the topological graph structure of the active low-voltage area; II F 2 Representing the square of the F-norm of the matrix.
Specifically, in this embodiment, the steps of constructing the phase user identification model based on the phase user identification model are as follows:
firstly, sequentially constructing a graph signal smoothness rule part, a node current law part and a graph structure sparse characteristic part (namely, in the embodiment, the phase user identification module is constructed based on the graph signal smoothness rule, the node current law and the graph structure sparse characteristic); the graph signals refer to voltage and current time sequence data of a metering point in an active low-voltage platform area; the metering point comprises a three-phase low-voltage bus and a smart meter at the user side.
The graph signal smoothness rule refers to that in an active low-voltage transformer area topological graph structure, voltage graph signal values between adjacent metering points with connection relations are approximate, and the graph signal smoothness rule part is expressed as follows by a formula (1):
wherein U is a three-phase low-voltage bus of an active low-voltage transformer area and a voltage data matrix of a user, Y is an auxiliary variable matrix for reducing the influence of voltage data metering errors on the signal smoothness of the voltage diagram, and L is a Laplacian matrix of an active low-voltage area topological graph structure to be solved.
The node current law refers to that the sum of currents flowing into a node is equal to the sum of currents flowing out of the node at any moment on any node in a circuit, and the node current law part is expressed as a formula (2) by combining an active low-voltage transformer area topological graph structure:
wherein I is P For three-phase low-voltage bus-barsThe current data matrix has the dimension of 3 multiplied by m, and m is the number of metering points of the active low-voltage station area; g is a constant matrix in m multiplied by m-dimension, wherein the values of the other elements except the first three rows of diagonal elements in the matrix G are 1, and the values of the other elements are 0; the matrix P is the sum of power series of an adjacent matrix A reflecting the connection relation of metering points in the topological graph structure of the active low-voltage transformer area, and the first three rows of elements of the matrix P contain the connection relation of the phase family; the matrix E is an m multiplied by m-dimensional identity matrix; the matrix D is a degree matrix of metering points in an active low-voltage station topological graph structure, and A=D-L; II F 2 Representing the square of the F-norm of the matrix.
The sparse characteristic of the graph structure refers to that in the topological graph structure of the active low-voltage area, the number of edges is far smaller than the number of measurement points, so that an adjacent matrix A and a Laplacian matrix L are sparse matrixes with only a few elements being 1, and the sparse characteristic part of the graph structure is expressed as follows by a formula (3):
wherein II 1 Is the 1 norm of the matrix.
And then, summarizing the graph signal smoothness rule part, the node current rule part and the graph structure sparse characteristic part to obtain the phase user identification model. In the fusion process, adding corresponding super parameters for each part to obtain a phase user identification model, so that the phase user identification model has the characteristics of graph signal smoothness law, node current law and graph structure sparseness. Further, the influence of the corresponding part can be adjusted by adjusting the hyper-parameters of the corresponding part. And in the process of carrying out the household identification, the low-voltage station area is characterized as a graph structure by applying the graph signal processing correlation theory, an optimization model is established to identify the household relationship, the relationship is not influenced by the grid connection of the new energy unit, and the relationship has higher robustness on data errors.
Further, in this embodiment, the obtaining the user relationship identification result specifically includes:
and inputting the electricity utilization characteristic data into the phase user recognition model, and solving the phase user recognition model by using an alternate direction multiplier method to obtain the phase user relationship recognition result. Specifically, an optimization model is solved by adopting an alternate direction multiplier method to obtain a matrix P containing the connection relation of the user phase sequence, so that the user relation is determined.
Accordingly, referring to fig. 3, the present invention provides a method for identifying a photo user, including:
responding to a phase user identification instruction sent by a first terminal, and sending a data acquisition request to a second terminal; the second terminal comprises a concentrator and a distribution transformer terminal;
receiving power utilization characteristic data of a first node and a second node fed back by the second terminal; inputting the electricity utilization characteristic data into a household identification model to obtain a household relationship identification result; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law;
and sending the household relationship identification result to a target terminal, wherein the target terminal comprises the first terminal and other appointed management terminals.
The device can be communicated with a concentrator and a distribution transformer terminal of an active low-voltage station area, and operation data of a user and a low-voltage bus can be automatically acquired and stored.
Further, in this embodiment, the first terminal and the designated other management terminals include a mobile terminal, a PC terminal, and a server terminal.
The other specified management terminal may be specified in such a manner that the first terminal transmits the identification data (e.g., management IP, unique identification code, etc.) of the management terminal at the same time as the first terminal transmits the user identification instruction.
Accordingly, referring to fig. 4, the present invention provides a device for identifying a photo-home, comprising:
the acquisition module is used for acquiring the electricity utilization characteristic data of the first node and the second node;
the processing module is used for inputting the electricity utilization characteristic data into a looks family identification model to obtain looks family relation identification results; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law.
Accordingly, referring to fig. 5, the present invention provides a device for identifying a photo-home, comprising: the system comprises a main control module, a communication module and a home identification module, wherein the communication module and the home identification module are respectively connected with the main control module; the phase user recognition module is provided with a phase user recognition model, and the phase user recognition model is constructed based on a graph signal smoothness rule and a node current law;
the main control module responds to a phase user identification instruction sent by the first terminal and sends a data acquisition request to the second terminal through the communication module; and receiving power utilization characteristic data of the first node and the second node fed back by the second terminal through the communication module; inputting the electricity utilization characteristic data into a real-time household identification module to obtain a household relationship identification result; further, the correlation recognition result is sent to the first terminal; the second terminal comprises a concentrator and a distribution transformer terminal.
Referring to fig. 6, in actual operation, the subscriber identity module device includes: the system comprises a main control module, a communication module, a storage module, a household identification module and a power supply module; the main control unit is respectively connected with the communication module, the storage module and the household identification module, the storage module is connected with the household identification module, and the power supply module is respectively connected with the main control unit, the communication module, the storage module and the identification module through circuits. The first terminal is provided with a corresponding software APP for man-machine interaction, and a user identification command is issued to the main control module through the software APP.
The main control module is a chip circuit for receiving a camera identification command, controlling the communication module, the storage module and the camera identification module to complete the functions of data communication, acquisition, transmission, camera identification and the like, and storing the identification result.
The storage module stores user file data, voltage and current time sequence data of the user and the low-voltage side three-phase bus transmitted by the concentrator and the distribution transformer terminal and a correlation recognition result.
The phase user identification module adopts a phase user identification algorithm based on image signal processing to construct a phase user identification model for phase user identification, and gives out a phase user identification result.
Specifically, after receiving the identification requirement of the phase user, the main control module sends a data acquisition requirement to a concentrator and a distribution transformer terminal of an active low-voltage station area through a communication module, and the concentrator and the distribution transformer terminal respond to the data acquisition requirement;
the main control module controls the storage module to store data sent by the concentrator and the distribution transformer terminal;
the main control module transmits an identification task to the household identification module, the household identification module invokes data in the storage module to complete household identification, and the identification result is stored in the storage module and is transmitted to the main control module;
and the main control module feeds back the user identification result to the first terminal. The data interaction between the main control module and the first terminal can be performed by adopting a server, and can also be performed by adopting a close range communication mode, wherein the close range communication mode comprises WiFi and Bluetooth.
Correspondingly, the invention provides a phase user identification device, which comprises:
a memory storing a computer program;
processor executing the computer program to implement the method for phase user identification according to any of claims 1-7.
It will be understood that equivalents and modifications will occur to those skilled in the art in light of the present invention and their spirit, and all such modifications and substitutions are intended to be included within the scope of the present invention as defined in the following claims.
Claims (10)
1. A method for identifying a subscriber, comprising:
acquiring electricity utilization characteristic data of a first node and a second node;
inputting the electricity utilization characteristic data into a household identification model to obtain a household relationship identification result; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law.
2. The method for identifying a phase user according to claim 1, wherein the process of acquiring the electricity utilization characteristic data includes:
acquiring power utilization time sequence data of the first node and the second node; the power utilization time sequence data comprises voltage time sequence data and current time sequence data;
constructing an electricity utilization time sequence matrix to form the electricity utilization characteristic data; the power utilization timing matrix comprises a voltage data matrix and a current data matrix.
3. The method of claim 2, wherein the phase user identification model is:
s.t.P-(E-(D-L)) -1 +E＝0；
wherein P is a relationship matrix containing relationship information of the households; alpha 1 、α 2 、α 3 Super parameters of a graph signal smoothness target, a node current law target and a graph structure sparsity target are respectively obtained; u is a voltage data matrix of the first node and the second node; i is a current data matrix of the first node and the second node; i P A current data matrix for the first node; y is an auxiliary variable matrix for reducing the influence of voltage data metering errors on the signal smoothness of the voltage diagram; l is a Laplacian matrix of an active low-voltage station area topological graph structure to be solved; g is a constant matrix of m x m-dimensions; e is m x m-dimensional identity matrix; d is a degree matrix of metering points in the topological graph structure of the active low-voltage area; II F 2 Representing the square of the F-norm of the matrix.
4. The method for identifying a looks family according to claim 3, wherein the obtaining a looks family relationship identification result specifically includes:
and inputting the electricity utilization characteristic data into the phase user recognition model, and solving the phase user recognition model by using an alternate direction multiplier method to obtain the phase user relationship recognition result.
5. The phase user identification method according to claim 1, wherein the first node is a metering point of a three-phase low-voltage bus of an active low-voltage transformer area; the second node is a metering point of the user; the metering point comprises a smart meter.
6. A method for identifying a subscriber, comprising:
responding to a phase user identification instruction sent by a first terminal, and sending a data acquisition request to a second terminal; the second terminal comprises a concentrator and a distribution transformer terminal;
receiving power utilization characteristic data of a first node and a second node fed back by the second terminal; inputting the electricity utilization characteristic data into a household identification model to obtain a household relationship identification result; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law;
and sending the household relationship identification result to a target terminal, wherein the target terminal comprises the first terminal and other appointed management terminals.
7. The method for identifying a subscriber as set forth in claim 6, wherein the first terminal comprises a mobile terminal, a PC terminal, and a server terminal.
8. A phase user identification device, comprising:
the acquisition module is used for acquiring the electricity utilization characteristic data of the first node and the second node;
the processing module is used for inputting the electricity utilization characteristic data into a looks family identification model to obtain looks family relation identification results; the phase user identification model is constructed based on a graph signal smoothness rule and a node current law.
9. A phase user identification device, comprising: the system comprises a main control module, a communication module and a home identification module, wherein the communication module and the home identification module are respectively connected with the main control module; the phase user recognition module is provided with a phase user recognition model, and the phase user recognition model is constructed based on a graph signal smoothness rule and a node current law;
the main control module responds to a phase user identification instruction sent by the first terminal and sends a data acquisition request to the second terminal through the communication module; and receiving power utilization characteristic data of the first node and the second node fed back by the second terminal through the communication module; inputting the electricity utilization characteristic data into a real-time household identification module to obtain a household relationship identification result; further, the correlation recognition result is sent to the first terminal; the second terminal comprises a concentrator and a distribution transformer terminal.
10. A phase user identification device, comprising:
a memory storing a computer program;
processor executing the computer program to implement the method for phase user identification according to any of claims 1-7.
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