CN116521951B

CN116521951B - Method, device, equipment and medium for identifying bus wiring pattern of 500kV transformer substation

Info

Publication number: CN116521951B
Application number: CN202310800598.1A
Authority: CN
Inventors: 李鹏; 黄文琦; 戴珍; 冯勤宇; 习伟; 侯佳萱; 李轩昂
Original assignee: Southern Power Grid Digital Grid Research Institute Co Ltd
Current assignee: Southern Power Grid Digital Grid Research Institute Co Ltd
Priority date: 2023-07-03
Filing date: 2023-07-03
Publication date: 2023-10-20
Anticipated expiration: 2043-07-03
Also published as: CN116521951A

Abstract

The application relates to a method, a device, equipment and a medium for identifying the wiring pattern of a bus of a 500kV transformer substation. The method comprises the following steps: acquiring equipment parameters of electrical equipment in a 500kV transformer substation in a target area; generating a graph data model for representing the connection relation between the electrical devices according to the device parameters, wherein the graph data model comprises nodes for representing the electrical devices in the transformer substation, edges for representing the connection relation between the electrical devices and the device parameters corresponding to the nodes, and the device parameters comprise device identifiers; at least one equipment identifier for identifying the bus connection pattern of the substation is determined, the number of nodes for representing the equipment identifiers is obtained in the graph data model, and the bus connection pattern of the substation is determined according to the number of nodes. According to the method, the bus wiring pattern of the transformer substation can be rapidly determined according to the equipment identification for identifying the bus wiring pattern of the transformer substation and the corresponding node number, so that the efficiency of identifying the bus wiring pattern of the transformer substation is improved.

Description

Method, device, equipment and medium for identifying bus wiring pattern of 500kV transformer substation

Technical Field

The application relates to the technical field of substations, in particular to a method, a device, equipment and a medium for identifying the wiring pattern of a bus of a 500kV substation.

Background

With the continuous expansion of the scale of the transformer substation, the topological structure of the bus in the transformer substation is increasingly complex, and in order to ensure the power supply reliability, a bus wiring topological diagram is drawn according to the equipment parameters of all electrical equipment in the transformer substation, so that power grid maintenance personnel can monitor the running state of a power grid based on the bus wiring topological diagram.

In the conventional technology, a database for storing equipment parameters of each electrical equipment in a transformer substation is arranged in a power grid management system, and a plurality of equipment parameter tables corresponding to the electrical equipment are stored in the database and are related through external keys. According to a specific database query statement, a power grid maintainer can query the connection relation between electrical equipment in a transformer substation in the equipment parameter table, draw a bus wiring topological graph according to the connection relation between the electrical equipment, and determine a bus wiring pattern according to the bus wiring topological graph so as to perform fault analysis when a power grid fails.

However, as the scale of the transformer substation is enlarged, the number of electrical devices and corresponding device parameters in the transformer substation are increased, so that time and effort are wasted when the connection relation between the electrical devices is queried through the database, and the efficiency of identifying the bus connection pattern according to the generated bus connection topological graph is low.

Disclosure of Invention

Based on the foregoing, there is a need to provide a bus bar wiring pattern recognition method, apparatus, computer device, computer readable storage medium and computer program product for a 500kV substation capable of improving bus bar wiring pattern recognition efficiency.

In a first aspect, the application provides a method for identifying a bus wiring pattern of a 500kV transformer substation. The method comprises the following steps:

acquiring equipment parameters of electrical equipment in a 500kV transformer substation in a target area;

generating a graph data model for representing the connection relation between the electrical devices according to the device parameters, wherein the graph data model comprises nodes for representing the electrical devices in the transformer substation, edges for representing the connection relation between the electrical devices and the device parameters corresponding to the nodes, and the device parameters comprise device identifiers;

at least one equipment identifier for identifying the bus connection pattern of the substation is determined, the number of nodes for representing the equipment identifiers is obtained in the graph data model, and the bus connection pattern of the substation is determined according to the number of nodes.

In one embodiment, determining a bus connection pattern of the substation according to the number of nodes includes:

and searching bus wiring patterns corresponding to the equipment identifiers in a preset mapping relation table according to the number of the nodes.

In one embodiment, searching a bus connection pattern corresponding to the equipment identifier in a preset mapping relation table according to the number of nodes includes:

if the node number corresponds to a plurality of bus connection patterns in the mapping relation table, continuing to acquire the next equipment identification, and obtaining the next node number for representing the next equipment identification in the graph data model;

and determining bus wiring patterns in the mapping relation table according to the number of nodes and the number of next nodes until a unique bus wiring pattern is obtained by searching in the mapping relation table according to the number of nodes of the equipment identifier.

In one embodiment, the device parameters further include a type identifier for characterizing the type of electrical device; before determining the at least one equipment identity for identifying the bus bar wiring pattern of the substation, further comprises:

acquiring all equipment identifiers corresponding to the types of identifiers to obtain a naming mode set of the equipment identifiers;

according to the naming mode set, determining a unified naming strategy of the electrical equipment corresponding to the type identifier;

and updating the equipment identifier according to the unified naming policy.

In one embodiment, the method further comprises:

and determining a unified naming strategy according to the voltage level of the transformer substation, the identification of the transformer substation, the position of the electrical equipment in the transformer substation and the serial number of the electrical equipment.

In one embodiment, before acquiring all the device identifiers corresponding to the types of identifiers, the method further includes:

identifying grouping identifiers of all substations in the target area, wherein the grouping identifiers are used for representing whether equipment parameters of all substations have the same naming format;

and grouping the device identifications in the target area according to the grouping identifications.

In a second aspect, the application further provides a device for identifying the wiring pattern of the bus of the 500kV transformer substation. The device comprises:

the equipment parameter acquisition module is used for acquiring equipment parameters of electrical equipment in the 500kV transformer substation in the target area;

the system comprises a graph data model generation module, a graph data model generation module and a data processing module, wherein the graph data model is used for generating a graph data model for representing the connection relation between the electrical devices according to the device parameters, the graph data model comprises nodes for representing the electrical devices in a transformer substation, edges for representing the connection relation between the electrical devices and the device parameters corresponding to the nodes, and the device parameters comprise device identifiers;

the bus connection type identification module is used for determining at least one equipment identifier for identifying the bus connection type of the transformer substation, obtaining the number of nodes used for representing the equipment identifier in the graph data model, and determining the bus connection type of the transformer substation according to the number of nodes.

In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:

In a fourth aspect, the present application also provides a computer-readable storage medium. A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:

In a fifth aspect, the present application also provides a computer program product. Computer program product comprising a computer program which, when executed by a processor, realizes the steps of:

The method, the device, the computer equipment, the storage medium and the computer program product for identifying the bus connection pattern of the 500kV transformer substation acquire equipment parameters of electrical equipment in the 500kV transformer substation in a target area, generate a graph data model for representing the connection relation between the electrical equipment according to the equipment parameters, wherein the graph data model comprises nodes for representing the electrical equipment in the transformer substation, edges for representing the connection relation between the electrical equipment and equipment parameters corresponding to the nodes, the equipment parameters comprise equipment identifiers, at least one equipment identifier for identifying the bus connection pattern of the transformer substation is determined, the number of the nodes for representing the equipment identifiers is obtained in the graph data model, and the bus connection pattern of the transformer substation is determined according to the number of the nodes. By adopting the method, the map data model generated according to the equipment parameters of the electrical equipment can store massive equipment parameters of all the electrical equipment in the transformer substation, equipment identifiers corresponding to all the nodes in the 500kV transformer substation and connection relations among all the nodes can be rapidly identified according to the nodes and edges in the map data model, the rapid statistics of the number of the nodes corresponding to at least one equipment identifier for identifying the bus wiring pattern of the transformer substation is facilitated, and then the bus wiring pattern of the transformer substation is determined according to the equipment identifiers and the corresponding number of the nodes, so that the efficiency of identifying the bus wiring pattern is improved.

Drawings

FIG. 1 is an application environment diagram of a 500kV substation bus connection pattern recognition method in one embodiment;

FIG. 2 is a flow chart of a method for identifying a bus wiring pattern of a 500kV transformer substation in one embodiment;

FIG. 3 is a flow chart of determining a bus bar wiring pattern in one embodiment;

FIG. 4 is a flow diagram of one embodiment of obtaining a unified naming policy;

FIG. 5 is a flow diagram of grouping device identifications in one embodiment;

FIG. 6 is a wiring topology of a bus bar wiring pattern of a substation in one embodiment;

FIG. 7 is a block diagram of a 500kV substation bus connection pattern recognition device in one embodiment;

FIG. 8 is an internal block diagram of a computer device in one embodiment;

fig. 9 is an internal structural view of a computer device in another embodiment.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. 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 application.

The 500kV transformer substation bus connection pattern recognition method provided by the embodiment of the application can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.

In one embodiment, as shown in fig. 2, the method is illustrated as applied to the terminal in fig. 1, and it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:

and 202, acquiring equipment parameters of electrical equipment in the 500kV transformer substation in the target area.

The target area is a geographical area in which the bus connection type needs to be identified, for example, the target area may be a geographical area corresponding to a certain city area in a certain province, transformer stations with various voltage levels may exist in the target area, for example, a 500kV transformer station, a 220kV transformer station, etc., and in the embodiment of the present application, the 500kV transformer station is mainly taken as an example, and the rated voltage of the transformer station is 500kV. The electrical equipment in the substation comprises electrical equipment and power transmission equipment in the substation, and in this embodiment, the electrical equipment in the 500kV substation can comprise buses, disconnecting switches, circuit breakers, transformers and the like. The equipment parameters are relevant attributes and attribute values for representing the electrical equipment, and the equipment parameters comprise equipment identification, serial numbers of associated equipment, equipment numbers and the like. The device identifier indicates a specific name of the electrical device, that is, the device identifier refers to a specific name of the electrical device in the substation, and when a plurality of electrical devices of a same type are in the substation, the specific name further includes an identifier for indicating a sequential relationship between the plurality of electrical devices of the same type, for example, "a first bus of a 500kV substation" indicates that in the 500kV substation, the first bus is ordered. In this embodiment, the electrical devices in the substation may be uniquely located by the device identification. In addition, the equipment number of the electrical equipment may also be used to uniquely determine the identity of the electrical equipment, and the equipment number may be an equipment ID, for example, the equipment number of the bus identified as "the first bus of a certain 500kV substation" by the aforementioned equipment is 1001.

The associated device is an electrical device in a substation that has a connection relationship with the selected electrical device. The association device is further provided with a number for identifying the identity uniqueness of the association device, and the connection relationship between the two electrical devices can be determined through the number of the association device. When the number of the associated device in the device parameter corresponding to the selected electrical device is empty, the electrical device is indicated to be disconnected from any other electrical device.

The method comprises the steps that after a target area needing to be identified for bus wiring types is determined, equipment parameters of electrical equipment in each transformer substation with the voltage level of 500kV in the target area are obtained, and the equipment parameters can be obtained in a mode that terminal equipment inputs the equipment parameters item by item; the method can also be obtained by a data file importing mode, wherein the data file comprises equipment parameters of all electrical equipment in the 500kV transformer substation, the formats of the data file can be an excel format, an XML format and a CIM/E format, and after the data file is obtained, the data format can be automatically identified and interpreted according to the file type; the device parameters can also be acquired through a third-party software system interface, when the device parameters in the transformer substation are derived from the third-party software system, the device parameters are acquired from the third-party software system through a database access interface, a communication protocol mode, an API interface mode and the like, and then the data format is identified and interpreted according to the acquired device parameters.

In one implementation, the acquired relevant data, such as device parameters, may also be stored in a data storage system for later recall. The attribute data about the substation stored in the data storage system includes an identification of the substation, a name of the substation, and a location coordinate of the substation. The identity of the transformer substation is used for representing the uniqueness of the identity of the transformer substation, such as an ID number of the transformer substation; the name of the substation can represent the position of the substation, for example, the naming can be carried out by the area where the substation is located; the position coordinates of the transformer substation are used for representing the specific position of the transformer substation, and the position coordinates of the transformer substation are determined through the longitude and latitude of the specific position. For example, the identifier of a certain 500kV substation is 0001, the name of the substation is a 500kV substation in a certain urban area, and the position coordinates of the substation are (112.572250, 37.840286), that is, the longitude corresponding to the position of the substation is 112.572250, and the latitude is 37.840286. The device parameters about the electrical devices stored in the data storage system include device identification, the number of associated devices, the device number, the station name of the belonging substation, and the like.

And 204, generating a graph data model for representing the connection relation between the electrical devices according to the device parameters, wherein the graph data model comprises nodes for representing the electrical devices in the transformer substation, edges for representing the connection relation between the electrical devices and the device parameters corresponding to the nodes, and the device parameters comprise device identifiers.

The graph data model is a mesh topology structure diagram, and comprises a plurality of nodes and edges, wherein each node is used for representing corresponding electrical equipment in a 500kV transformer substation, one electrical equipment corresponds to one node in the graph data model, and the edge between every two nodes is used for representing the connection relation between two electrical equipment corresponding to the two nodes. For example, nodes in the graph data model may be used to represent electrical devices such as buses, knife switches, circuit breakers, transformers, etc. within a substation, and edges in the graph data model may be used to represent connection relationships between buses and electrical devices such as switches, knife switches, etc. As can be seen from the foregoing, the device identifier in this embodiment is a specific name of the device.

For example, after obtaining the device parameters corresponding to the electrical devices in each substation, a graph data model for representing the connection relationship between the electrical devices in the substation is generated according to the device parameters, and then the graph data model and the device parameters corresponding to each node may be stored in a graph database. When only one 500kV transformer substation exists in the target area, only one graph data model and corresponding equipment parameters of the transformer substation exist in the graph database; when a plurality of 500kV substations exist in the target area, a plurality of graph data models and corresponding equipment parameters of the substations are stored in the graph database.

At step 206, at least one equipment identifier for identifying the bus connection pattern of the transformer substation is determined, the number of nodes for representing the equipment identifiers is obtained in the graph data model, and the bus connection pattern of the transformer substation is determined according to the number of nodes.

The number of equipment identifiers and equipment identifiers for identifying the bus bar wiring pattern of the transformer substation are combined in the embodiment so as to realize the identification of the bus bar wiring pattern of the transformer substation. The equipment identifier for identifying the bus wiring type of the transformer substation comprises a bus, a switch, a circuit breaker, a disconnecting link and the like. The bus connection mode of the transformer substation comprises six connection modes of double-bus double-section connection, double-bus single-section connection, double-bus double-breaker connection, 3/2 breaker connection (in-out line cross connection) and 3/2 breaker connection (in-out line non-cross connection).

The method includes the steps of firstly counting the number of nodes corresponding to the bus, the switch, the breaker and other electrical equipment for identifying the bus wiring pattern of the transformer substation according to the obtained graph data model, and then determining the bus wiring pattern of the transformer substation according to the number of nodes.

According to the bus wiring pattern recognition method of the 500kV transformer substation, the map data model generated according to the equipment parameters of the electrical equipment can store mass equipment parameters, the equipment identifiers corresponding to all nodes in the 500kV transformer substation and the connection relation among all nodes are conveniently and rapidly recognized according to the nodes and edges in the map data model, the number of the nodes corresponding to at least one equipment identifier for recognizing the bus wiring pattern of the transformer substation is conveniently and rapidly counted, and then the bus wiring pattern of the transformer substation is determined according to the equipment identifiers and the corresponding node numbers, so that the efficiency of recognizing the bus wiring pattern is facilitated to be improved.

In one embodiment, determining a bus bar wiring pattern of a substation based on the number of nodes includes: and searching bus wiring patterns corresponding to the equipment identifiers in a preset mapping relation table according to the number of the nodes.

The preset mapping relation table is used for representing the corresponding relation between the number of nodes of each equipment identifier for identifying the bus connection type and the bus connection type, and the preset mapping relation table can be summarized according to a large amount of historical experience. The mapping relation table comprises the six bus wiring patterns, the equipment identifiers corresponding to the wiring patterns and the number of the equipment identifiers.

The method includes the steps that after the number of nodes of equipment identifiers for identifying bus connection types is obtained, the corresponding bus connection types are traversed and inquired in the mapping relation table, and when the number of the nodes is equal to the number of the nodes corresponding to the target bus connection types, the bus connection type of the transformer substation is determined to be the target bus connection type.

In the embodiment, the bus connection types corresponding to the number of the nodes corresponding to the equipment identifiers for identifying the bus connection types are queried through the preset mapping relation table, so that the identification efficiency of the bus connection types is improved; and helps to ensure the accuracy of the bus bar wiring pattern recognition result.

In one embodiment, as shown in fig. 3, searching, according to the number of nodes, a bus connection pattern corresponding to the device identifier in a preset mapping relationship table includes:

and 302, if the node number corresponds to a plurality of bus connection patterns in the mapping relation table, continuing to acquire the next equipment identification, and obtaining the next node number for representing the next equipment identification in the graph data model.

The next device identifier is a device identifier selected from other device identifiers for identifying the bus connection type after the bus connection type is not identified according to the first device identifier for identifying the bus connection type. The mapping relation table in this embodiment is shown in table 1:

TABLE 1

The number of loops in table 1 is determined by the number of in-out lines and the number of transformers in the transformer substation, the in-out lines and the transformers in the transformer substation are provided with corresponding nodes in the graph data model, and the number of loops is equal to the sum of the number of in-out lines and the number of transformers in the transformer substation, namely the number of loops is equal to the sum of the number of nodes corresponding to the in-out lines and the number of nodes corresponding to the transformers in the transformer substation.

The method includes the steps that the number of nodes corresponding to one equipment identifier in equipment identifiers for identifying bus connection types is obtained in a graph data model, then the corresponding bus connection types are searched in a preset mapping relation table according to the number of the nodes, when a plurality of bus connection types corresponding to the number of the nodes exist in the mapping relation table, the specific bus connection types cannot be determined, at the moment, the number of the nodes corresponding to the next equipment identifier is continuously obtained, and the corresponding bus connection types are continuously searched in the mapping relation table according to the number of the nodes corresponding to the next equipment identifier.

For example, assuming that the device identifier is a bus, the number of nodes corresponding to the bus is 2 in the graph data model, at this time, according to the mapping relation table, the corresponding bus wiring pattern when the number of buses is 2 is found to be four types of double-bus wiring, double-bus double-breaker wiring, 3/2 breaker wiring (line-in and line-out crossed wiring) and 3/2 breaker wiring (line-in and line-out non-crossed wiring), at this time, a specific bus wiring pattern cannot be identified only according to the number of buses, so that the number of nodes corresponding to other device identifiers for identifying the bus wiring pattern needs to be continuously obtained in the graph data model, namely, the next number of nodes corresponding to the next device identifier, for example, the next device identifier is a bus switch, the number of nodes corresponding to the bus switch is continuously obtained in the graph data model, and according to the number of nodes corresponding to the bus switch, the corresponding bus wiring pattern is continuously found in the mapping relation table.

And 304, determining bus wiring patterns in the mapping relation table according to the number of nodes and the number of next nodes until a unique bus wiring pattern is obtained by searching in the mapping relation table according to the number of nodes of the equipment identifier.

The method includes the steps that after the number of nodes corresponding to the next equipment identifier is continuously obtained, and the corresponding bus connection pattern is continuously searched in the mapping relation table according to the number of nodes corresponding to the next equipment identifier, when the number of nodes corresponding to the next equipment identifier is still more than one in the mapping relation table, the number of nodes corresponding to the next equipment identifier is continuously obtained, wherein the next equipment identifier is other equipment identifiers except the equipment identifier which is used for identifying the bus connection pattern and is traversed, and the unique bus connection pattern is obtained through searching in the mapping relation table according to the number of nodes corresponding to the equipment identifier.

Specifically, the plurality of device identifiers for identifying the bus connection type may be ordered, for example, according to the sequence of the bus, the bus-tie switch group, the sectionalizing switch group, the loop breaker and the loop isolation knife, the corresponding node number is compared with the corresponding node number in the mapping relation table in sequence, when the corresponding node number of the loop breaker or the loop isolation knife is compared in sequence, the corresponding loop number in the transformer substation needs to be counted, the loop number is equal to the sum of the node number corresponding to the incoming and outgoing lines and the node number corresponding to the transformer, the node number corresponding to the incoming and outgoing lines and the node number corresponding to the transformer need to be counted, then the ratio of the loop breaker number to the loop number and the ratio of the loop isolation knife to the loop number are calculated, and the node number or the ratio is continuously compared until the unique bus connection type is found in the mapping relation table according to the node number or the ratio.

For example, according to the above, when the number of nodes corresponding to the bus is 2 in the graph data model, the number of nodes corresponding to the next device identifier, that is, the number of nodes corresponding to the bus switch, is continuously obtained in the graph data model, and when the number of nodes corresponding to the bus switch is 1, it is known that the corresponding bus connection pattern is double bus connection according to the mapping relation table; when the number of the nodes corresponding to the bus-bar switch is 0, according to the mapping relation table, the corresponding bus wiring patterns are three types of double-bus double-breaker wiring, 3/2 breaker wiring (in-out line cross wiring) and 3/2 breaker wiring (in-out line non-cross wiring), at this time, the specific bus wiring patterns cannot be identified, the number of the nodes corresponding to the next equipment identifier, such as the number of loop breakers, is continuously acquired, when the ratio of the number of the loop breakers to the number of the loops is equal to 2, according to the mapping relation table, the corresponding bus wiring patterns are 3/2 breaker wiring (in-out line cross wiring); when the ratio of the loop breaker to the number of loops is equal to 1.5, according to the mapping relation table, the corresponding bus connection types are two types, namely 3/2 breaker connection (line-in and line-out crossed connection) and 3/2 breaker connection (line-in and line-out non-crossed connection), at this time, a specific bus connection type cannot be identified yet, the number of nodes corresponding to the next equipment identifier needs to be continuously acquired, such as the number of loop isolation cutters, when the ratio of the number of loop isolation cutters to the number of loops is 4, according to the mapping relation table, the corresponding bus connection type is 3/2 breaker connection (line-in and line-out crossed connection), and at this time, the bus connection type is finally determined.

In this embodiment, the number of nodes corresponding to the device identifier for identifying the bus connection type is sequentially compared with the number of nodes corresponding to the mapping relation table one by one until the bus connection type is determined in the mapping relation table according to the number of nodes or the ratio, so that when the bus connection type corresponding to the transformer substation is identified, it is not necessary to directly compare the number of nodes corresponding to all the device identifiers for identifying the bus connection type with the number of nodes corresponding to the mapping relation table, thereby further improving the efficiency of identifying the bus connection type of the transformer substation.

In one embodiment, as shown in FIG. 4, the device parameters further include a type identifier for characterizing the type of electrical device; before determining the at least one equipment identity for identifying the bus bar wiring pattern of the substation, further comprises:

step 402, obtaining all device identifiers corresponding to the types of identifiers, and obtaining a naming mode set of the device identifiers.

The type identifier is an identifier for representing the type of the electrical equipment, the type identifier of the electrical equipment can be different types such as a bus, a switch, a transformer and the like, different electrical equipment type identifiers are set to correspond to different electrical equipment, the type identifier of the electrical equipment is an identifier for uniquely representing the type of the electrical equipment, and the type identifier of the electrical equipment can be a type ID, a type number and the like. For example, the type identifier of the bus is main line, the type identifier of the switch is break, wherein the switches in the transformer substation are related to a bus-bar switch, a sectionalizer switch and the like, and the type identifiers corresponding to the bus-bar switch and the sectionalizer switch are break. The naming method set is a set of all naming methods of device identifiers corresponding to a type of identifier.

By way of example, the device identifiers of all buses corresponding to the type identifier "main line", that is, the names of all buses, are searched in the graph database, and if the naming modes of the buses of all 500kV substations corresponding to a certain graph database are named as "a certain substation I bus", "a certain substation II bus", "a certain substation 1 bus", "a certain substation 2 bus", and the like, the naming modes of all buses corresponding to the type identifier "main line" are named as { "a certain substation I bus", "a certain substation II bus", "a certain substation 1 bus", "a certain substation 2 bus" }.

Step 404, determining a unified naming policy of the electrical equipment corresponding to the type identifier according to the naming mode set.

The unified naming policy is a rule for unified naming of naming formats of names of the same type of electrical devices.

The naming method of the device identifier corresponding to each type of identifier is processed according to the data clustering method, namely the naming method of the name of the electrical device corresponding to each type of identifier is processed, and the unified naming strategy corresponding to each type of identifier is obtained. For example, after the collection of naming modes about the buses is obtained according to the above description, a unified naming policy applicable to naming formats of all buses, namely, a "station name by number by bus mark" is summarized by using a massive data clustering method, wherein the station name is a name of a substation to which a target bus belongs, the number is a serial number corresponding to the target bus, the bus mark is used for indicating that the type of the target electrical equipment is a bus, and the bus mark may be a "bus", "a" bus or a "M", for example, the name corresponding to a certain bus is a "certain substation 01 bus".

In addition, although some types of device identifiers corresponding to the type identifiers have detailed types of distinction, such as a bus-bar switch, a breaker switch, a disconnecting link and the like, after a plurality of device identifiers subordinate to the same type identifier are specifically distinguished according to a semantic identification method, a unified naming policy applicable to a plurality of device identifiers under the same type identifier can still be obtained according to a data clustering method, for example, the breaker switch and the disconnecting link of which the type identifiers are both "break" are consistent in naming format, and the unified naming policies corresponding to the two are both "station name and number" specific category marks ", wherein the number is used for indicating the station name of a substation subordinate to the switch, the number is used for indicating the uniqueness of the switch identity, the specific category mark is used for indicating the specific category of the switch, and the unified naming policy corresponding to the breaker switch is" station name and number "switch", and the unified naming policies corresponding to the two are only different in the specific category of the disconnecting link.

In addition, the knife switch is divided into a voltage transformer knife switch and a loop knife switch, and in order to distinguish the knife switches more quickly, unified naming strategies of various knife switches are adjusted, wherein the unified naming strategies corresponding to the voltage transformer knife switch are a number knife switch, the unified naming strategies corresponding to the loop knife switch are a station name number letter, and the station name and the number in the knife switch are the same as the meanings of the station name and the four-digit number in the breaker switch.

Step 406, updating the device identification according to the unified naming policy.

The device identifier corresponding to each node in the graph data model is updated according to the unified naming policy after the unified naming policy of each electrical device is obtained, that is, the name of the electrical device corresponding to each node is updated.

In this embodiment, through a unified naming policy, the device identifiers corresponding to the types of identifiers have a unified naming format, so that the number of nodes corresponding to the device identifiers for identifying the bus connection type can be conveniently and quickly obtained, and the efficiency of identifying the bus connection type is further improved.

In one embodiment, the method further comprises: and determining a unified naming strategy according to the voltage level of the transformer substation, the identification of the transformer substation, the position of the electrical equipment in the transformer substation and the serial number of the electrical equipment.

From the above, it is clear that the voltage level of the transformer substation represents the rated voltage of the transformer substation, and the voltage level of the transformer substation generally includes 110KV, 220KV, 500KV, and the like, and in the present application, 500KV is taken as an example. The identity of the substation is used for representing the uniqueness of the identity of the substation, and the identity of the substation can be a substation ID, a substation number or a substation name. The position of the electrical equipment in the transformer substation is used as a reference basis for the position distribution of the target electrical equipment in the topological graph for describing the topological connection relation among the electrical equipment, when a plurality of identical electrical equipment belongs to the same power transmission line, the identical electrical equipment can be expressed by the same serial number for representing the identification of the power transmission line, and the serial number can be taken as the natural number. The serial numbers of the electrical devices are used for representing the ordering relation among a plurality of identical electrical devices on the same power line, and the serial numbers of the electrical devices can also be obtained as natural numbers.

As can be seen from the foregoing, the unified naming policy corresponding to the breaker switch is "station name X number X switch", where the station name is the station name of the transformer substation to which the breaker switch belongs, the number includes voltage class, interval number and switch serial number information, the number corresponding to the breaker switch in this embodiment is "50 XY", where "50" represents the voltage class of the transformer substation to which the target breaker switch belongs is 500kV, "X" represents the position serial number of the power transmission line to which the breaker switch belongs in the topology map, that is, the serial number, "Y" represents the serial number corresponding to the breaker switch, and the values of X, Y are all natural numbers. For example, a number corresponding to a certain breaker switch is 5012, where "50" represents that the voltage class of the substation to which the breaker switch belongs is 500kV, and "1" represents that the position number of the transmission line to which the breaker switch belongs in the topology is 1, that is, the serial number is 1, and "2" represents that the serial number of the breaker switch on the transmission line with the serial number of "1" is "2", and indicates that the breaker switch is the second breaker switch on the transmission line with the serial number of "1".

In this embodiment, a unified naming policy corresponding to each electrical device is determined according to a voltage class of the transformer substation, an identifier of the transformer substation, a position of the electrical device in the transformer substation, and a serial number of the electrical device, and then each electrical device identifier is updated according to the unified naming policy, so that device identifiers corresponding to various types of identifiers have a unified naming standard after being updated, and uniqueness of each device identifier for representing a corresponding electrical device identity can be ensured.

In one embodiment, as shown in fig. 5, before acquiring all the device identifiers corresponding to the types of identifiers, the method further includes:

step 502, identifying grouping identifiers of all substations in the target area, wherein the grouping identifiers are used for representing whether equipment parameters of all substations have the same naming format.

The grouping identification is used as a basis for grouping substations with the same naming format for naming the equipment identification, and because the voltage levels of all 500kV substations in the target area are consistent, the maintenance units of all 500kV substations in the same target area are possibly inconsistent, so that the naming format of the names of all electric equipment in all 500kV substations in the target area is inconsistent, in order to promote the unified naming strategy applicable to all equipment identifications in the target substation according to the equipment identifications corresponding to all types of identifications in all substations, different grouping identifications are required to be set according to different naming formats of the equipment identifications of the 500kV substations in the target area. The packet identifier may be a packet ID or a packet number, and the packet identifier in this embodiment is exemplified by the packet ID, for example, a packet identifier corresponding to a naming format of a device parameter of a certain substation is a01.

Step 504, grouping the device identifications in the target area according to the grouping identifications.

The grouping identification of each substation in the target area is identified, and the equipment identifications in the target area are grouped according to the grouping identification, so that the equipment identifications corresponding to each electrical equipment are grouped, and the accuracy of obtaining a unified naming strategy according to the grouped equipment identifications is improved.

In this embodiment, the device identifiers corresponding to the substations in the target area are grouped by the grouping identifiers, so that accuracy of obtaining the unified naming policy according to the grouped device identifiers can be improved.

In one embodiment, the device parameters further include geographic location coordinates of each electrical device, and generating a graph data model for representing a connection relationship between each electrical device according to the device parameters includes: according to the geographic position coordinates of the electrical equipment, the distribution positions of the corresponding nodes in the graph data model are determined, according to the serial numbers of the associated equipment and the equipment serial numbers, the edges between the corresponding two nodes in the graph data model are determined, and according to the nodes and the edges, the graph data model is generated.

The geographic position coordinates of the electrical equipment are used for representing specific position information of the electrical equipment, and the geographic position coordinates are longitude and latitude coordinates of the position where the electrical equipment is located. From the foregoing, it can be seen that the number of the association device is used to characterize the uniqueness of the identity of the association device, and the connection relationship between the electrical device and the association device is conveniently determined through the number of the association device, and when the connection relationship is represented in the graph data model, the node corresponding to the electrical device has a connected edge.

The method includes the steps of firstly obtaining geographic position coordinates in equipment parameters when a graph data model is generated, determining distribution positions of nodes according to the geographic position coordinates, namely, the distribution positions of the nodes in a display interface of a terminal, determining whether the target node has edges used for representing connection relations in the graph data model according to whether the obtained equipment parameters of the target node comprise serial numbers of associated equipment or not, determining edges between the target node and the nodes corresponding to the serial numbers of the associated equipment when the equipment parameters of the target node comprise the serial numbers of the associated equipment, and finally, generating the graph data model according to all the nodes and the edges. In addition, the generated graph data model and the equipment parameters corresponding to each node can be stored to obtain a graph database.

In one embodiment, after determining the bus bar wiring pattern of the substation, further comprising: and generating a wiring topological graph for representing the bus wiring pattern in the transformer substation according to the graph data model, wherein the wiring topological graph is used for assisting in analyzing the power grid faults.

The wiring topological graph is used for representing the number of the electric devices in the transformer substation, the device identification and the connection relation among the electric devices. In the wiring topological graph, the device identifier is the device identifier updated according to the unified naming policy. As shown in fig. 6, the wiring topological diagram includes a bus, a power line for representing connection between the bus and other electrical devices or power lines connected with other electrical devices, and an icon for representing other electrical devices except the bus and the power line, and further includes a device identifier corresponding to each electrical device, where the device identifier is an updated device identifier according to a corresponding unified naming policy. When the device is positioned at the corresponding line or icon, the device identifier corresponding to the line or icon can be automatically acquired, and the acquired device identifier is output to a display interface of the terminal for display.

The device identifier corresponding to each node, the distribution position corresponding to each node and the connection relation corresponding to each side in the graph data model are read, the wiring topological graph is output to a display interface of the terminal according to a preset topological graph drawing method, and in addition, a bus wiring pattern corresponding to the wiring topological graph can be output in the display interface, so that a power grid maintainer can analyze power grid faults according to the wiring topological graph later.

In the embodiment, the wiring topological graph which is generated according to the graph data model and used for representing the bus wiring pattern in the transformer substation is convenient for power grid maintenance personnel to analyze power grid faults according to the wiring topological graph.

It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.

Based on the same inventive concept, the embodiment of the application also provides a 500kV transformer substation bus wiring pattern recognition device for realizing the above related 500kV transformer substation bus wiring pattern recognition method. The implementation scheme of the device for solving the problem is similar to that described in the method, so the specific limitation in the embodiment of the device for identifying the bus wiring pattern of the 500kV transformer substation provided below can be referred to the limitation of the method for identifying the bus wiring pattern of the 500kV transformer substation, and the description is omitted herein.

In one embodiment, as shown in fig. 7, there is provided a 500kV substation bus wiring pattern recognition apparatus, including: an equipment parameter acquisition module 702, a graph data model generation module 704, and a bus wiring pattern identification module 706, wherein:

the device parameter obtaining module 702 is configured to obtain device parameters of electrical devices in the 500kV substation in the target area;

a graph data model generating module 704, configured to generate a graph data model for representing a connection relationship between electrical devices according to device parameters, where the graph data model includes nodes for characterizing each electrical device in a substation, edges for characterizing the connection relationship between each electrical device, and device parameters corresponding to the nodes, where the device parameters include a device identifier;

The bus connection pattern recognition module 706 is configured to determine at least one device identifier for recognizing a bus connection pattern of the substation, obtain a number of nodes for representing the device identifier in the graph data model, and determine the bus connection pattern of the substation according to the number of nodes.

In one embodiment, the bus bar wiring pattern recognition module 706 is further configured to: and searching bus wiring patterns corresponding to the equipment identifiers in a preset mapping relation table according to the number of the nodes.

In one embodiment, the bus bar wiring pattern recognition module 706 is further configured to: if the node number corresponds to a plurality of bus connection patterns in the mapping relation table, continuing to acquire the next equipment identification, and obtaining the next node number for representing the next equipment identification in the graph data model; and determining bus wiring patterns in the mapping relation table according to the number of nodes and the number of next nodes until a unique bus wiring pattern is obtained by searching in the mapping relation table according to the number of nodes of the equipment identifier.

In one embodiment, the apparatus is further for: acquiring all equipment identifiers corresponding to the types of identifiers to obtain a naming mode set of the equipment identifiers; according to the naming mode set, determining a unified naming strategy of the electrical equipment corresponding to the type identifier; and updating the equipment identifier according to the unified naming policy.

In one embodiment, the apparatus is further for: and determining a unified naming strategy according to the voltage level of the transformer substation, the identification of the transformer substation, the position of the electrical equipment in the transformer substation and the serial number of the electrical equipment.

In one embodiment, the apparatus is further for: identifying grouping identifiers of all substations in the target area, wherein the grouping identifiers are used for representing whether equipment parameters of all substations have the same naming format; and grouping the device identifications in the target area according to the grouping identifications.

The modules in the 500kV transformer substation bus connection type identification device can be all or partially realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.

In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing data corresponding to the device parameters of the electrical device. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by the processor is used for realizing a 500kV transformer substation bus connection pattern recognition method.

In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by the processor is used for realizing a 500kV transformer substation bus connection pattern recognition method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.

It will be appreciated by persons skilled in the art that the structures shown in fig. 8 and 9 are merely block diagrams of portions of structures associated with aspects of the application and are not intended to limit the computer apparatus to which aspects of the application may be applied, and that a particular computer apparatus may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the method embodiments described above.

In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.

The user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or sufficiently authorized by each party.

Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.

The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.

The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims

1. A method for identifying a bus wiring pattern of a 500kV substation, the method comprising:

Determining at least one equipment identifier for identifying a bus connection pattern of the transformer substation, obtaining a node number for representing the equipment identifier in the graph data model, and determining the bus connection pattern of the transformer substation according to the node number, wherein the determining the bus connection pattern of the transformer substation according to the node number comprises the following steps: searching the bus wiring patterns corresponding to the equipment identifiers in a preset mapping relation table according to the number of the nodes, wherein the preset mapping relation table comprises six wiring patterns, namely double-bus double-section wiring, double-bus single-section wiring, double-bus double-circuit breaker wiring, incoming and outgoing line cross wiring in 3/2 circuit breaker wiring and incoming and outgoing line non-cross wiring in 3/2 circuit breaker wiring, and the equipment identifiers and the number of the equipment identifiers corresponding to the wiring patterns;

the step of searching the bus connection pattern corresponding to the equipment identifier in a preset mapping relation table according to the node number comprises the following steps:

after the node number of each equipment identifier for identifying the bus wiring pattern is obtained, traversing and inquiring the corresponding bus wiring pattern in the preset mapping relation table, and determining the bus wiring pattern of the transformer substation as the target bus wiring pattern when the node number is equal to the node number corresponding to the target bus wiring pattern;

The step of searching the bus connection pattern corresponding to the equipment identifier in a preset mapping relation table according to the node number, and the step of further comprising:

if the node number corresponds to a plurality of bus connection patterns in the mapping relation table, continuing to acquire a next equipment identifier, and acquiring the next node number for representing the next equipment identifier from the graph data model, wherein the acquisition sequence of the node number corresponding to the equipment identifier can be preset;

and determining the bus connection type in the mapping relation table according to the node number and the next node number until the unique bus connection type is obtained by searching in the mapping relation table according to the node number of the equipment identifier.

2. The method of claim 1, wherein the device parameters further comprise geographic location coordinates of each of the electrical devices; the generating the graph data model for representing the connection relation between the electrical devices according to the device parameters comprises: and determining distribution positions of the corresponding nodes in the graph data model according to the geographic position coordinates of the electrical equipment, determining edges between the two corresponding nodes in the graph data model according to the serial numbers of the associated equipment and the equipment serial numbers, and generating the graph data model according to the nodes and the edges.

3. The method of claim 1, further comprising, after said determining a bus bar wiring pattern of a substation: and generating a wiring topological graph for representing the bus wiring pattern in the transformer substation according to the graph data model, wherein the wiring topological graph is used for assisting in analyzing the power grid faults.

4. The method of claim 1, wherein the device parameters further comprise a type identifier for characterizing a type of electrical device; before said determining at least one equipment identity for identifying a bus connection pattern of said substation, further comprising:

acquiring all the equipment identifiers corresponding to the type identifiers to obtain a naming mode set of the equipment identifiers;

and updating the equipment identifier according to the unified naming strategy.

5. The method according to claim 4, wherein the method further comprises:

and determining the unified naming strategy according to the voltage level of the transformer substation, the identification of the transformer substation, the position of the electrical equipment in the transformer substation and the serial number of the electrical equipment.

6. The method of claim 4, further comprising, prior to said obtaining all of said device identifications corresponding to each of said type identifications:

identifying grouping identifications of the substations in the target area, wherein the grouping identifications are used for representing whether equipment parameters of the substations have the same naming format;

and grouping the equipment identifiers in the target area according to the grouping identifiers.

7. A 500kV substation bus wiring pattern recognition device, the device comprising:

the graph data model generation module is used for generating a graph data model for representing the connection relation between the electrical devices according to the device parameters, wherein the graph data model comprises nodes for representing the electrical devices in the transformer substation, edges for representing the connection relation between the electrical devices and the device parameters corresponding to the nodes, and the device parameters comprise device identifiers;

a bus connection pattern recognition module, configured to determine at least one equipment identifier for recognizing a bus connection pattern of the substation, obtain, in the graph data model, a number of nodes for representing the equipment identifier, and determine the bus connection pattern of the substation according to the number of nodes, where determining the bus connection pattern of the substation according to the number of nodes includes: searching the bus wiring patterns corresponding to the equipment identifiers in a preset mapping relation table according to the number of the nodes, wherein the preset mapping relation table comprises six wiring patterns, namely double-bus double-section wiring, double-bus single-section wiring, double-bus double-circuit breaker wiring, incoming and outgoing line cross wiring in 3/2 circuit breaker wiring and incoming and outgoing line non-cross wiring in 3/2 circuit breaker wiring, and the equipment identifiers and the number of the equipment identifiers corresponding to the wiring patterns;

8. The apparatus of claim 7, wherein the graph data model generation module is further configured to determine a distribution position of the corresponding node in the graph data model according to the geographic position coordinates of the electrical device, determine an edge between the corresponding two nodes in the graph data model according to the number of the associated device and the device number, and generate the graph data model according to the node and the edge.

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.