CN116979540B - Converter station tide estimation method, device, equipment and medium based on graph technology - Google Patents

Converter station tide estimation method, device, equipment and medium based on graph technology Download PDF

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Publication number
CN116979540B
CN116979540B CN202311236587.1A CN202311236587A CN116979540B CN 116979540 B CN116979540 B CN 116979540B CN 202311236587 A CN202311236587 A CN 202311236587A CN 116979540 B CN116979540 B CN 116979540B
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station
target
nodes
node
equipment
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CN116979540A (en
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李鹏
黄文琦
李轩昂
侯佳萱
戴珍
习伟
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Southern Power Grid Digital Grid Research Institute Co Ltd
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Southern Power Grid Digital Grid Research Institute Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/901—Indexing; Data structures therefor; Storage structures
    • G06F16/9024—Graphs; Linked lists
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Power Engineering (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The application relates to a method, a device, equipment and a medium for estimating current of a converter station based on graph technology. The method comprises the following steps: the method comprises the steps of obtaining station data information of each station and equipment data information of each power equipment under each station in a target area, obtaining station nodes corresponding to each station and equipment nodes corresponding to each power equipment in a graph database by utilizing the station data information and the equipment data information, obtaining target connection relations among the nodes according to station identifiers and subordinate relations, obtaining all target equipment nodes directly connected with opposite station nodes corresponding to opposite station based on the target connection relations, wherein the target equipment nodes are used for representing equipment nodes which are not directly connected with the target converter station among the equipment nodes directly connected with the opposite station nodes, and obtaining exchange power transmitted by the opposite station and the target converter station based on power measurement corresponding to the target equipment nodes. By adopting the method, the current estimation accuracy and efficiency of the converter station can be improved.

Description

Converter station tide estimation method, device, equipment and medium based on graph technology
Technical Field
The application relates to the technical field of power system power flow calculation, in particular to a power flow estimation method, a device, equipment and a medium of a converter station based on graph technology.
Background
Converter stations are a key component in electrical power systems for converting high voltage electrical energy into electrical energy suitable for transmission and distribution, or for interconverting between different voltage levels. Converter stations are often located at important nodes in an electrical power system for connecting the power transfer between different electrical power systems or grids.
The power flow estimation of the converter station can obtain the power information injected or output by the converter station, so that power system operators can know the load condition, the line load condition, the power flow distribution and the like of the system, and reasonable generator set scheduling, load distribution and network planning can be conveniently performed, and the safe, economical and reliable operation of the power system is ensured. However, the converter station has special subordinate properties, so that the situation that a data source system and data content are different from those of a common transformer substation is easy to occur, and the problem that relevant measurement data are free or inaccurate is easy to occur, so that the accuracy of the current estimation result of the converter station is reduced.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, apparatus, device, and medium for estimating a power flow of a converter station based on a graph technique, which can improve the accuracy of the power flow estimation of the converter station.
In a first aspect, the present application provides a method for estimating a current of a converter station based on graph technology. The method comprises the following steps:
acquiring station data information of each station in a target area and equipment data information of each power equipment under each station, wherein the station data information comprises station identifiers of each station, the equipment data information comprises affiliations and power measurement of each power equipment, and each station in the target area comprises a target converter station and opposite-end stations of the target converter station;
obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by using the station data information and the equipment data information, and obtaining a target connection relation between each node according to the station identification and the subordinate relation;
based on the target connection relation, all target equipment nodes which are directly connected with the opposite terminal station nodes and correspond to the opposite terminal station are obtained, based on power measurement corresponding to all the target equipment nodes, the exchange power transmitted by the opposite terminal station and the target converter station is obtained, the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are directly connected with the opposite terminal station nodes and are not directly connected with the target converter station nodes.
In one embodiment, obtaining all target device nodes directly connected to the opposite terminal station node corresponding to the opposite terminal station includes:
acquiring all unit nodes in equipment nodes directly connected with opposite terminal station nodes to obtain target unit nodes;
acquiring all load nodes in equipment nodes directly connected with opposite terminal station nodes to obtain target load nodes;
obtaining a line node which is not directly connected with a target converter station node in equipment nodes directly connected with opposite terminal station nodes, so as to obtain the target line node;
and combining the target unit node, the target load node and the target line node to obtain all target equipment nodes.
In one embodiment, obtaining the switching power transmitted by the opposite terminal station and the target converter station based on the power measurements corresponding to all the target device nodes includes:
acquiring power measurement corresponding to all target unit nodes, power measurement corresponding to all target load nodes and power measurement corresponding to all target line nodes;
making differences between the power measurements corresponding to all the target unit nodes and the power measurements corresponding to all the target load nodes to obtain a difference making result;
And (3) making a difference between the difference result and the power measurement corresponding to all the target line nodes to obtain the switching power transmitted by all the opposite terminal stations and the target converter station.
In one embodiment, before obtaining all target equipment nodes directly connected to all opposite terminal station nodes based on the target connection relationship, the method further includes:
and acquiring second-order neighbor nodes of the target converter station node based on the target connection relation to obtain all opposite terminal station nodes.
In one embodiment, obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by using station data information and equipment data information includes:
acquiring station field information of each station and equipment field information of each power equipment;
establishing a station node model in a graph database through station field information, and combining the station node model and station data information to obtain station nodes corresponding to stations;
and establishing an equipment node model in the graph database through the equipment field information, and combining the equipment node model and the equipment data information to obtain each equipment node corresponding to each power equipment.
In one embodiment, obtaining the target connection relationship between the nodes according to the station identifier and the subordinate relationship includes:
Establishing a first initial connection relation between the plant node model and the equipment node model, wherein the first initial connection relation is used for representing association of a plant station identification field in plant station field information and a subordinate relation field in equipment field information;
and combining the first initial connection relationship, the station identification and the subordinate relationship to obtain a target connection relationship among the nodes.
In one embodiment, the obtaining the target connection relationship between the nodes according to the station identifier and the subordinate relationship further includes:
when a station node model is established, establishing a second initial connection relation directly pointing to the station node obtained in advance aiming at each station node obtained in advance through the station node model, wherein the second initial connection relation is used for representing the association between stations corresponding to the station node obtained in advance;
and obtaining the target connection relation among the nodes according to the second initial connection relation, the station identification and the subordinate relation.
In a second aspect, the present application further provides a converter station power flow estimation device based on graph technology. The device comprises:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring station data information of each station in a target area and equipment data information of each power equipment under each station, the station data information comprises station identifiers of each station, the equipment data information comprises subordinate relations and power measurement of each power equipment, and each station in the target area comprises a target converter station and opposite-end stations of the target converter station;
The building module is used for obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in the graph database by utilizing the station data information and the equipment data information, and obtaining a target connection relation between the nodes according to the station identification and the subordinate relation;
the estimation module is used for acquiring all target equipment nodes directly connected with the opposite terminal station nodes corresponding to the opposite terminal station based on the target connection relation, acquiring the exchange power transmitted by the opposite terminal station and the target converter station based on the power measurement corresponding to all the target equipment nodes, wherein the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are not directly connected with the target converter station nodes in the equipment nodes directly connected with the opposite terminal station nodes.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor executes the computer program to realize the following steps:
acquiring station data information of each station in a target area and equipment data information of each power equipment under each station, wherein the station data information comprises station identifiers of each station, the equipment data information comprises affiliations and power measurement of each power equipment, and each station in the target area comprises a target converter station and opposite-end stations of the target converter station;
Obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by using the station data information and the equipment data information, and obtaining a target connection relation between each node according to the station identification and the subordinate relation;
based on the target connection relation, all target equipment nodes which are directly connected with the opposite terminal station nodes and correspond to the opposite terminal station are obtained, based on power measurement corresponding to all the target equipment nodes, the exchange power transmitted by the opposite terminal station and the target converter station is obtained, the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are directly connected with the opposite terminal station nodes and are not directly connected with the target converter station nodes.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
acquiring station data information of each station in a target area and equipment data information of each power equipment under each station, wherein the station data information comprises station identifiers of each station, the equipment data information comprises affiliations and power measurement of each power equipment, and each station in the target area comprises a target converter station and opposite-end stations of the target converter station;
Obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by using the station data information and the equipment data information, and obtaining a target connection relation between each node according to the station identification and the subordinate relation;
based on the target connection relation, all target equipment nodes which are directly connected with the opposite terminal station nodes and correspond to the opposite terminal station are obtained, based on power measurement corresponding to all the target equipment nodes, the exchange power transmitted by the opposite terminal station and the target converter station is obtained, the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are directly connected with the opposite terminal station nodes and are not directly connected with the target converter station nodes.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, performs the steps of:
acquiring station data information of each station in a target area and equipment data information of each power equipment under each station, wherein the station data information comprises station identifiers of each station, the equipment data information comprises affiliations and power measurement of each power equipment, and each station in the target area comprises a target converter station and opposite-end stations of the target converter station;
Obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by using the station data information and the equipment data information, and obtaining a target connection relation between each node according to the station identification and the subordinate relation;
based on the target connection relation, all target equipment nodes which are directly connected with the opposite terminal station nodes and correspond to the opposite terminal station are obtained, based on power measurement corresponding to all the target equipment nodes, the exchange power transmitted by the opposite terminal station and the target converter station is obtained, the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are directly connected with the opposite terminal station nodes and are not directly connected with the target converter station nodes.
According to the converter station tide estimation method, device, equipment and medium based on the graph technology, through acquiring the station data information of each station and the equipment data information of each power equipment under each station in a target area, the station data information comprises the station identification of each station, the equipment data information comprises the subordinate relation and power measurement of each power equipment, and each station in the target area comprises a target converter station and the opposite-end station of the target converter station; obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by using the station data information and the equipment data information, and obtaining a target connection relation between each node according to the station identification and the subordinate relation; based on the target connection relation, all target equipment nodes which are directly connected with the opposite terminal station nodes and correspond to the opposite terminal station are obtained, based on power measurement corresponding to all the target equipment nodes, the exchange power transmitted by the opposite terminal station and the target converter station is obtained, the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are directly connected with the opposite terminal station nodes and are not directly connected with the target converter station nodes. According to the method and the device, the opposite terminal station node corresponding to the opposite terminal station of the target converter station is utilized to estimate the exchange power transmitted by the opposite terminal station and the converter station by utilizing the power measurement of the target equipment node directly connected with the opposite terminal station node, so that the current estimation is carried out on the target converter station, the problem that measurement data related to the target converter station are missing or inaccurate is avoided, and the current estimation accuracy of the converter station is improved.
Further, with the development of a novel power market, data required by power grid analysis application are more sources and wider, a graph technology is adopted in the embodiment of the application, the query speed of a graph database is high, and under the condition of large data volume, the data processing capacity is faster, and the graph database is used for carrying out power flow estimation on a target converter station by utilizing graph calculation, so that the query of multi-level plant stations and equipment relations is avoided, and the power flow estimation on the target converter station can be directly and rapidly carried out.
Drawings
Fig. 1 is an application environment diagram of a converter station power flow estimation method based on graph technology in one embodiment;
fig. 2 is a flow diagram of a method for estimating a current of a converter station based on the graph technology in one embodiment;
FIG. 3 is a schematic diagram illustrating connection between each station node and each equipment node in one embodiment;
FIG. 4 is a schematic flow chart of obtaining each station node and each equipment node in another embodiment;
FIG. 5 is a flowchart of another embodiment for obtaining a target connection relationship between nodes;
FIG. 6 is a schematic diagram illustrating connection between each station node and each equipment node in another embodiment;
fig. 7 is a block diagram of a converter station power flow estimation device based on the graph technology in one embodiment;
Fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail 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 present application.
The power flow estimation method of the convertor station based on the graph technology, 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 data storage system may store equipment information and monitoring information for the power transmission network equipment. 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.
The power flow estimation (Power Flow Estimation) is an important task in the operation of the power system, where the steady state and power information of the nodes in the power system can be determined. The converter station is used for realizing bidirectional conversion and transmission of energy among different voltage levels, is widely applied to large-scale power systems, ultra-high voltage transmission systems and direct-current transmission and alternating-current and direct-current hybrid transmission systems, has larger capacity and complex operation conditions in application scenes, is easy to have different conditions from a common transformer substation in terms of a data source system and data content, and has the problem that related measurement data often have gaps or inaccuracy, so that the accuracy of current estimation of the converter station is reduced.
Aiming at the characteristics of low current converter station power flow estimation accuracy, complicated data types and huge data volume of a power system, the embodiment of the application provides a converter station power flow estimation method based on a graph technology. The graph database can be used for storing and managing various plant stations, equipment, lines, units and the like, and realizes tide estimation through graph traversal and analysis.
In one embodiment, as shown in fig. 2, a method for estimating a current of a converter station based on graph technology is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
step 202, acquiring plant data information of each plant in a target area and equipment data information of each power equipment under each plant.
The target area may refer to a designated area for estimating a current of the target converter station, and each station in the target area may include the target converter station, an opposite-end station of the target converter station, and other power stations connected to the opposite-end station of the target converter station. The opposite end station of the target converter station refers to another power station connected to the target converter station, and is configured to transmit or exchange electric energy with the target converter station, for example, receive ac or dc electric energy output by the target converter station, and further transmit the ac or dc electric energy to a target site or other power systems, where the opposite end station of the target converter station may be another converter station, a transformer substation, or another type of power station.
According to the method and the device for the data processing of the data, the station data information of each station in the target area can be obtained, the station data information is used for representing station specific data information, such as station specific station identification, station specific area, station specific voltage level, station specific station type, station specific geographic position and the like, wherein the station identification has uniqueness, namely the station unique identification.
The embodiment of the application can also acquire the equipment data information of each power equipment corresponding to each station, wherein the equipment data information is used for representing the specific data information of the power equipment. In the power system, the power equipment corresponding to the plant may include a unit, a load, and a line.
For example, the crew-specific device data information may include crew-specific dependencies, crew-specific power measurements. The affiliation of the unit can be used for representing the station of the unit, and the specific affiliation of the unit can refer to the station identification of the station of the unit; the power measurement of the unit can be used for representing the output power of the unit, and the specific power measurement of the unit can refer to the specific output active power value of the unit. In addition, the device data information of the unit may also include device identification, power estimation, voltage class, power generation type, etc.
As another example, the device data information for the load may include load specific dependencies, load specific power measurements. The load dependence relationship can be used for representing the station to which the load belongs, and the load specific dependence relationship can refer to the station identifier of the station to which the load belongs; the power measurement of the load may be used to characterize the power consumption of the load, and the load-specific power measurement may refer to a load-specific value of the consumed active power. In addition, the device data information of the load may also include device identification, power estimation, voltage class, etc.
As another example, the device data information for the line may include line specific dependencies, line specific power measurements. The subordinate relations of the lines can be used for representing the initial station and the terminal station of the lines, and the specific subordinate relations of the lines can refer to station identifiers of the initial station and station identifiers of the terminal station of the lines, that is, the connected station corresponds to each power equipment, and line equipment for connecting the two stations exists together; the power measurement of the line may be used to characterize the transmission power of the line, and the line-specific power measurement may refer to the active power value of the line-specific transmission. In addition, the device data information of the line may also include device identification, power estimation, voltage class, line loss, capacity, etc.
And 204, obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in the graph database by using the station data information and the equipment data information, and obtaining the target connection relation between each node according to the station identification and the subordinate relation.
In the embodiment of the application, the station nodes are built in the graph database through the station data information, wherein one station corresponds to one station node, and the station data information is stored in the station node. And establishing equipment nodes in the graph database through equipment data information, wherein one piece of power equipment corresponds to one equipment node, and the equipment data information is stored in the equipment node.
According to the method and the device, the target connection relation among the nodes is established according to the station identifiers stored by the station nodes and the subordination relations stored by the equipment nodes, and the target connection relation can be represented by edges in the graph data.
For example, in one case, each station may include a target converter station, an opposite-end station substation 1 of the target converter station, an opposite-end station substation 2 of the target converter station, an opposite-end station substation 3 of the target converter station, and a substation 4 to which the opposite-end station substation 3 is connected; the power equipment corresponding to the target converter station may include a unit 1, a unit 2, a load 1, a load 2, a line 1, a line 2 and a line 3, and the power equipment corresponding to the transformer substation 1 may include a unit 3, a unit 4, a load 3, a load 4 and a line 1, and the power equipment corresponding to the transformer substation 2, the transformer substation 3 and the transformer substation 4 are not described herein.
Referring to fig. 3, a station node is established in a graph database through station data information of each station, an equipment node is established in the graph database through equipment data information of each electric equipment, a target converter station and a transformer substation 1 are taken as an example, a target converter station node is established in the graph database through station data information of the target converter station, and a transformer substation 1 node is established in the graph database through station data information of the transformer substation 1. And according to the plant station identifiers stored in the plant station nodes and the subordination relationships stored in the equipment nodes, establishing a target connection relationship between the nodes, for example, matching the subordination relationships stored in the unit 5 node with the plant station identifiers stored in the substation 2 node, establishing edges between the unit 5 node and the substation 2 node, for example, matching the subordination relationships stored in the line 2 node with the plant station identifiers stored in the target converter station node and the plant station identifiers stored in the substation 2 node, and establishing edges between the line 2 node and the target converter station node and the substation 2 node respectively.
It should be noted that, in fig. 3, for convenience of description, only the target converter station, the transformer substation 1, the transformer substation 2, the transformer substation 3, the transformer substation 4, and the corresponding power devices thereof are illustrated, and in an actual system, more stations and power devices are possible, which are not described herein again.
Step 206, based on the target connection relationship, obtaining all target equipment nodes directly connected with the opposite terminal station nodes corresponding to the opposite terminal station, and based on the power measurement corresponding to the target equipment nodes, obtaining the switching power transmitted by the opposite terminal station and the target converter station.
The target converter station node in the embodiment of the application refers to a station node corresponding to the target converter station in the graph database, and the opposite station node refers to a station node corresponding to the opposite station of the target converter station in the graph database.
In one implementation, before determining the target device node, all the opposite terminal station nodes may be obtained by acquiring second-order neighbor nodes of the target converter station node based on the target connection relationship. In the graph database, the neighbor nodes of a node may include first-order neighbors and second-order neighbors, where a first-order neighbor may be other nodes connected by edges to the node, and a second-order neighbor may be other nodes connected by edges to the first-order neighbor of the node, and does not include the node itself and the first-order neighbors of the node. It can be appreciated that by querying the second-order neighbor nodes of the target converter station, all the opposite end station nodes can be quickly determined.
After the opposite terminal station node is acquired, all target equipment nodes directly connected with the opposite terminal station node can be acquired based on the target connection relation, wherein the target equipment nodes are used for representing equipment nodes which are not directly connected with the target converter station node in the equipment nodes directly connected with the opposite terminal station node.
For example, all the equipment nodes directly connected with the opposite terminal station node can be obtained based on the target connection relationship, so as to obtain all the candidate equipment nodes, and then all the equipment nodes directly connected with the target converter station node in all the candidate equipment nodes are removed, so as to obtain all the target equipment nodes.
For example, please continue to refer to fig. 3, taking the substation 3 of the opposite terminal station as an example, the device nodes directly connected to the substation 3 node include a unit 7 node, a unit 8 node, a load 7 node, a load 8 node, a line 3 node, a line 4 node, and a line 5 node, and the line 3 node directly connected to the target converter station node in the candidate device nodes is removed to obtain the target device node directly connected to the substation 3 node, that is, the unit 7 node, the unit 8 node, the load 7 node, the load 8 node, the line 4 node, and the line 5 node.
After all target equipment nodes directly connected with the opposite terminal station are obtained, the embodiment of the application obtains the exchange power transmitted by the opposite terminal station and the target converter station based on the power measurement corresponding to all the target equipment nodes. The exchange power is used for determining a line power flow of the target converter station, and the exchange power transmitted by the opposite terminal station and the target converter station may refer to power sent by the opposite terminal station to the target converter station, or may refer to power received by the opposite terminal station from the target converter station.
For example, please continue to refer to fig. 3, taking the opposite station substation 3 as an example, based on the unit output power stored in the unit 7 node and the unit 8 node, the consumed power stored in the load 7 node and the load 8 node, and the power transmitted by the station with other non-target converter stations stored in the line 4 node and the line 5 node, the exchange power transmitted by the substation 3 and the target converter station is obtained.
Further, in one implementation manner, since there may be loss in electric energy transmission in the line, the embodiment of the present application may obtain a line node between the opposite terminal station node and the target converter station node, and estimate a line power flow on the target converter station side on the line by combining the line loss stored in the line node and the exchange power transmitted by the opposite terminal station and the target converter station.
Further, in another implementation manner, the switching power transmitted from all the opposite terminal stations to the target converter station is summarized, so that the total line flow of the target converter station can be obtained. And estimating the unit power flow in the target converter station according to the total line power flow of the target converter station and the consumption power stored in the load node directly connected with the target converter station node.
Further, in another implementation, the line flow estimation result of the target converter station and the line measurement of the target converter station may be compared, and if the line flow estimation result of the target converter station and the line measurement of the target converter station are inconsistent, the line measurement of the target converter station may have data missing or data inaccurate, so as to verify the accuracy of the line measurement of the target converter station.
In the converter station trend estimation method based on the graph technology, station data information of each station in a target area and equipment data information of each power equipment under each station are obtained, the station data information comprises station identifiers of each station, the equipment data information comprises affiliation and power measurement of each power equipment, and each station in the target area comprises a target converter station and opposite-end stations of the target converter station; obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by using the station data information and the equipment data information, and obtaining a target connection relation between each node according to the station identification and the subordinate relation; based on the target connection relation, all target equipment nodes which are directly connected with the opposite terminal station nodes and correspond to the opposite terminal station are obtained, based on power measurement corresponding to all the target equipment nodes, the exchange power transmitted by the opposite terminal station and the target converter station is obtained, the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are directly connected with the opposite terminal station nodes and are not directly connected with the target converter station nodes. According to the method and the device for estimating the power flow of the current transformer station, through the opposite terminal station node corresponding to the opposite terminal station of the target current transformer station, the power measurement of the target equipment node directly connected with the opposite terminal station node is utilized to estimate the exchange power transmitted by the opposite terminal station and the current transformer station, so that the current transformer station is subjected to current estimation, the problem that measurement data related to the target current transformer station are missing or inaccurate is avoided, and the current transformer station current estimation accuracy is improved.
Further, with the development of a novel power market, data required by power grid analysis application are more sources and wider, a graph technology is adopted in the embodiment of the application, the query speed of a graph database is high, and under the condition of large data volume, the data processing capacity is faster, and the graph database is used for carrying out power flow estimation on a target converter station by utilizing graph calculation, so that the query of multi-level plant stations and equipment relations is avoided, and the power flow estimation on the target converter station can be directly and rapidly carried out.
In one embodiment, as shown in fig. 4, obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in the graph database by using the station data information and the equipment data information, including:
step 402, acquiring station field information of each station and equipment field information of each power equipment.
The station field information refers to a field corresponding to station data information, the equipment field information refers to a field corresponding to equipment data information, and the field can be understood as an attribute name.
For example, the station data information may include a station identifier of a station, a region to which the station belongs, a voltage level of the station, a station type of the station, and a geographic location of the station, and the station field information may include an attribute name of the station identifier field, the region field, the voltage level field, the station type field, the geographic location field, and the geographic location field.
And step 404, building a station node model in the graph database through the station field information, and combining the station node model and the station data information to obtain each station node corresponding to each station.
Before each station node is acquired, a station node model is built in a graph database through station field information. After the plant node model is established, the plant node model is instantiated by utilizing plant data information corresponding to each plant, so that each plant node is generated.
For example, the plant node model may be represented asTopoNDStation data information pair corresponding to target converter stationTopoNDInstantiation, can generateTopoND(i) The node point is a node point which,TopoND(i) Node representationMarking converter station nodes; station data information pair corresponding to station at certain opposite endTopoNDInstantiation, can generateTopoND(n) The node point is a node point which,TopoND(n) The node represents the node of the opposite terminal station.
Step 406, an equipment node model is built in the graph database through the equipment field information, and all equipment nodes corresponding to all the electric equipment are obtained by combining the equipment node model and the equipment data information.
Before acquiring each equipment node, the embodiment of the application firstly establishes an equipment node model in a graph database through equipment field information. The device field information corresponding to different power device types may be different, so when the device node model is built, the device node model may be built for each power device type, for example, the device node model may include a unit node model, a load node model, and a line node model.
After the device node model is established, the device node model is instantiated by utilizing the device data information corresponding to each piece of electric equipment, so that each device node is generated. The method comprises the steps that a unit node model can be instantiated by utilizing equipment data information corresponding to a unit, and each unit node is generated; the load node model can be instantiated by utilizing the equipment data information corresponding to the load to generate each load node; the line node model may be instantiated using device data information corresponding to the line to generate each line node.
For example, the crew node model may be represented asunitThe load node model may be expressed asloadThe line node model may be expressed asline。
In addition, in the plant node model and the equipment node model, a data format of field information pre-instantiation data can be set, for example, the data format corresponding to the plant identification field is a character string #string) The data format corresponding to the field of the area is character stringstring) The data format corresponding to the voltage class field is double-precision floating point number @double）。
According to the method, the station field information of each station and the equipment field information of each power equipment are acquired, the station node model is built in the graph database by utilizing the station field information, each station node corresponding to each station is obtained by combining the station node model and the station data information, the equipment node model is built in the graph database by utilizing the equipment field information, each equipment node corresponding to each power equipment is obtained by combining the equipment node model and the equipment data information, and the specific data are imported for instantiation by building the node model, so that each station node and each equipment node can be quickly acquired.
In one embodiment, obtaining the target connection relationship between the nodes according to the station identifier and the subordinate relationship includes: and establishing a first initial connection relation between the plant node model and the equipment node model, and combining the first initial connection relation, the plant identification and the subordinate relation to obtain a target connection relation between the nodes.
The first initial connection relationship is used for representing association of a station identification field in station field information and a subordinate relationship field in equipment field information.
According to the method and the device for the data connection, when the node models are created, the connection relation can be built among the attribute fields of different node models, so that after the data is instantiated, the nodes matched with the connection relation are connected based on the connection relation.
The first initial connection relationship is established by using the plant identification field of the plant field information in the plant node model and the subordinate relationship field of the equipment field information in the equipment node model, that is, when the plant identification stored in the instantiated plant node is matched with the subordinate relationship stored in the equipment node, the plant node and the equipment node establish the target connection relationship.
In one embodiment, as shown in fig. 5, the method further includes obtaining a target connection relationship between the nodes according to the station identifier and the affiliation, where the method further includes:
Step 502, when the plant node model is established, a second initial connection relationship directly pointing to the pre-obtained plant node is established for each plant node pre-obtained through the plant node model.
And step 504, obtaining the target connection relation among the nodes according to the second initial connection relation, the station identification and the subordinate relation.
The second initial connection relationship is used for representing association between the stations corresponding to the obtained station nodes.
Specifically, when the plant node model is created, the embodiment of the application may set the second initial connection relationship of other plant nodes pointing to the plant node of the application in the plant node model, that is, each passTopoNDInstantiatedTopoND(x) Station nodexAll other station nodes point to the station nodexA side of itself.
In one implementation manner, a connection station identification field may be set in station field information of the station node model, where the connection station identification field indicates identifications of other stations directly connected to a certain station, and a second initial connection relationship is established between the other stations represented by the connection station identification field and the certain station. In this case, the station data information includes specific connection station identifiers, and after the data is instantiated, a target connection relationship between the station nodes is obtained according to the second initial connection relationship, the station identifiers stored in the station nodes, and the connection station identifiers stored in the station nodes.
For example, referring to fig. 6, the station data information of the substation 3 in fig. 6 includes the station identifier of the target converter station, the station identifier of the substation 2, and the station identifier of the substation 4, and after the data is instantiated, the target connection relationship between the substation 3 node and the target converter station node, the substation 2 node, and the substation 4 node is established according to the second initial connection relationship, the connection station identifier stored in the substation 3 node, and the station identifiers stored in other station nodes.
In another implementation, a second initial connection relationship directed to the pre-obtained station node itself may be established in the station node model based on the start station and end station characterized by the membership field in the line node model. And after the data is instantiated, obtaining a target connection relation among the station nodes according to the second initial connection relation, the specific subordination relation stored in each line node and the station identification stored in each station node.
For example, referring to fig. 6, after the data is instantiated, according to the second initial connection relationship and the subordinate relationships stored in the line 1 node, the line 2 node, the line 3 node, the line 4 node and the line 5 node, it is determined that each station node points to the other station node of the station node, and the target connection relationship between the nodes is obtained.
In this embodiment, when the plant node model is established, for each plant node obtained in advance through the plant node model, a second initial connection relationship directly pointing to the obtained plant node is established, and according to the second initial connection relationship, the plant identifier and the subordinate relationship, the target connection relationship between the plant nodes in the target connection relationship between the nodes is obtained, so that the opposite-end plant of the target converter station is directly obtained through the target connection relationship between the plant nodes, that is, the opposite-end plant is a node belonging to the plant type in the target converter station direct connection node, or, the opposite-end plant is a node belonging to the plant type in the target converter station first-order neighbor node, which can be expressed in graph calculation asI.e. directly querying the opposite terminal station connected to the target converter station. After the opposite terminal station is directly and rapidly obtained, the power flow of the target converter station can be estimated according to the power measurement of the target equipment node directly connected with the opposite terminal station, namely, the power flow of the target converter station is estimated through the power measurement of the second-order neighbor node of the target converter station, and the power flow estimation efficiency is further improved.
In one embodiment, obtaining all target device nodes directly connected to the opposite terminal station node corresponding to the opposite terminal station includes: acquiring all unit nodes in equipment nodes directly connected with opposite terminal station nodes to obtain target unit nodes; acquiring all load nodes in equipment nodes directly connected with opposite terminal station nodes to obtain target load nodes; obtaining a line node which is not directly connected with a target converter station node in equipment nodes directly connected with opposite terminal station nodes, so as to obtain the target line node; and combining the target unit node, the target load node and the target line node to obtain all target equipment nodes.
In particular, in graph computation, it is possible toQuick acquisition of a directly connected unit node of a station at the opposite end, and the unit node can be realized by->Load node for quickly acquiring direct connection of opposite terminal station and method for quickly acquiring direct connection of opposite terminal station by means of->And rapidly acquiring the line node directly connected with the opposite terminal station.
In one embodiment, obtaining the switching power transmitted by the opposite terminal station and the target converter station based on the power measurements corresponding to all the target device nodes includes: and acquiring power measurement corresponding to all target unit nodes, power measurement corresponding to all target load nodes and power measurement corresponding to all target line nodes. And making a difference between the power measurements corresponding to all the target unit nodes and the power measurements corresponding to all the target load nodes to obtain a difference making result. And (3) making a difference between the difference result and the power measurement corresponding to all the target line nodes to obtain the switching power transmitted by the opposite terminal station and the target converter station.
Specifically, the obtained exchange power transmitted by the opposite terminal station and the target converter station can be obtained through calculation according to the following diagram:
；
wherein,representing a station at the opposite endnPower measurement of lower target unit node +.>Representing a station at the opposite endnLower order of eyesPower measurement of load node>Representing the opposite end station nAnd measuring the power of the lower target line node.
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 converter station power flow estimation device based on the graph technology, which is used for realizing the converter station power flow estimation method based on the graph technology. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the current transformer station current estimation device based on the graph technology provided below may be referred to the limitation of the current transformer station current estimation method based on the graph technology, which is not described herein.
In one embodiment, as shown in fig. 7, there is provided a converter station power flow estimation device based on graph technology, including: an acquisition module 702, a setup module 704, and an estimation module 706, wherein:
the acquiring module 702 is configured to acquire station data information of each station in a target area and equipment data information of each power equipment under each station, where the station data information includes a station identifier of each station, the equipment data information includes a relationship and power measurement of each power equipment, and each station in the target area includes a target converter station and an opposite station of the target converter station;
the building module 704 is configured to obtain, in the graph database, each station node corresponding to each station and each equipment node corresponding to each power equipment by using the station data information and the equipment data information, and obtain a target connection relationship between the nodes according to the station identifier and the affiliation;
the estimation module 706 is configured to obtain, based on the target connection relationship, all target device nodes directly connected to the opposite terminal station node corresponding to the opposite terminal station, and obtain, based on power measurements corresponding to all the target device nodes, switching power transmitted by the opposite terminal station and the target converter station, where the switching power is used to determine a line power flow of the target converter station, and the target device nodes are used to characterize device nodes, among the device nodes directly connected to the opposite terminal station node, that are not directly connected to the target converter station node.
In one embodiment, the estimation module 706, when executing the acquisition of all target device nodes directly connected to the opposite station node corresponding to the opposite station, is configured to: acquiring all unit nodes in equipment nodes directly connected with opposite terminal station nodes to obtain target unit nodes; acquiring all load nodes in equipment nodes directly connected with opposite terminal station nodes to obtain target load nodes; obtaining a line node which is not directly connected with a target converter station node in equipment nodes directly connected with opposite terminal station nodes, so as to obtain the target line node; and combining the target unit node, the target load node and the target line node to obtain all target equipment nodes.
In one embodiment, the estimation module 706, when performing power measurements based on all target device node correspondences, is configured to, when obtaining the switching power transmitted by the opposite end station and the target converter station: acquiring power measurement corresponding to all target unit nodes, power measurement corresponding to all target load nodes and power measurement corresponding to all target line nodes; making differences between the power measurements corresponding to all the target unit nodes and the power measurements corresponding to all the target load nodes to obtain a difference making result; and (3) making a difference between the difference result and the power measurement corresponding to all the target line nodes to obtain the switching power transmitted by all the opposite terminal stations and the target converter station.
In one embodiment, the obtaining module 702, before performing obtaining all target device nodes directly connected to all peer station nodes based on the target connection relationship, is configured to: and acquiring second-order neighbor nodes of the target converter station node based on the target connection relation to obtain all opposite terminal station nodes.
In one embodiment, the building module 704, when executing obtaining each station node corresponding to each station and each device node corresponding to each power device in the graph database using the station data information and the device data information, is configured to: acquiring station field information of each station and equipment field information of each power equipment; establishing a station node model in a graph database through station field information, and combining the station node model and station data information to obtain station nodes corresponding to stations; and establishing an equipment node model in the graph database through the equipment field information, and combining the equipment node model and the equipment data information to obtain each equipment node corresponding to each power equipment.
In one embodiment, the establishing module 704, when executing obtaining the target connection relationship between the nodes according to the plant identity and the affiliation, is configured to: establishing a first initial connection relation between the plant node model and the equipment node model, wherein the first initial connection relation is used for representing association of a plant station identification field in plant station field information and a subordinate relation field in equipment field information; and combining the first initial connection relationship, the station identification and the subordinate relationship to obtain a target connection relationship among the nodes.
In one embodiment, the establishing module 704, when executing obtaining the target connection relationship between the nodes according to the plant identity and the affiliation, is configured to: when a station node model is established, establishing a second initial connection relation directly pointing to the station node obtained in advance aiming at each station node obtained in advance through the station node model, wherein the second initial connection relation is used for representing the association between stations corresponding to the station node obtained in advance; and obtaining the target connection relation among the nodes according to the second initial connection relation, the station identification and the subordinate relation.
The respective modules in the above-described converter station power flow estimation device based on the graph technology may be implemented in whole or in part by software, hardware, and combinations 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, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. 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 the data of the plant stations and the power equipment. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method for converter station flow estimation based on graph technology.
It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain 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.
It should be noted that, 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.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
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 the various 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 various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being 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 above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.

Claims (10)

1. A method for estimating a power flow of a converter station based on graph technology, the method comprising:
acquiring plant data information of each plant in a target area and equipment data information of each power equipment under each plant, wherein the plant data information comprises plant identifiers of each plant, the equipment data information comprises affiliations and power measurement of each power equipment, and each plant in the target area comprises a target converter station and opposite-end plant stations of the target converter station;
Obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by utilizing the station data information and the equipment data information, and obtaining a target connection relationship between each node according to the station identification and the subordinate relationship;
acquiring all target equipment nodes directly connected with opposite terminal station nodes corresponding to the opposite terminal station based on the target connection relation, and acquiring switching power transmitted by the opposite terminal station and the target converter station based on power measurement corresponding to all the target equipment nodes, wherein the switching power is used for determining line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are not directly connected with the target converter station nodes in the equipment nodes directly connected with the opposite terminal station nodes;
the step of obtaining all target equipment nodes directly connected with the opposite terminal station node corresponding to the opposite terminal station based on the target connection relation comprises the following steps:
and acquiring second-order neighbor nodes of the target converter station node based on the target connection relation to obtain all opposite terminal station nodes.
2. The method of claim 1, wherein the obtaining all target device nodes directly connected to the peer station node corresponding to the peer station comprises:
acquiring all unit nodes in the equipment nodes directly connected with the opposite terminal station node to obtain a target unit node;
acquiring all load nodes in equipment nodes directly connected with the opposite terminal station node to obtain a target load node;
obtaining a line node which is not directly connected with the target converter station node in equipment nodes which are directly connected with the opposite terminal station node, so as to obtain a target line node;
and combining the target unit node, the target load node and the target line node to obtain all target equipment nodes.
3. The method according to claim 2, wherein the obtaining, based on the power measurements corresponding to the all target device nodes, the switching power transmitted by the opposite terminal station and the target converter station includes:
acquiring power measurements corresponding to all the target unit nodes, power measurements corresponding to all the target load nodes and power measurements corresponding to all the target line nodes;
Making differences between the power measurements corresponding to all the target unit nodes and the power measurements corresponding to all the target load nodes to obtain a difference making result;
and differencing the difference result and the power measurement corresponding to all the target line nodes to obtain the switching power transmitted by all the opposite terminal stations and the target converter station.
4. The method according to claim 1, wherein the obtaining, in a graph database, each station node corresponding to each station and each device node corresponding to each power device using the station data information and the device data information includes:
acquiring plant station field information of each plant station and equipment field information of each power equipment;
establishing a plant node model in a graph database through the plant field information, and combining the plant node model and the plant data information to obtain each plant node corresponding to each plant;
and establishing an equipment node model in a graph database through the equipment field information, and combining the equipment node model and the equipment data information to obtain each equipment node corresponding to each power equipment.
5. The method of claim 4, wherein the obtaining the target connection relationship between the nodes according to the plant identifier and the affiliation comprises:
Establishing a first initial connection relation between the plant node model and the equipment node model, wherein the first initial connection relation is used for representing association of a plant identification field in the plant field information and a subordinate relation field in the equipment field information;
and combining the first initial connection relation, the station identifier and the subordinate relation to obtain a target connection relation among the nodes.
6. The method of claim 5, wherein the obtaining the target connection relationship between the nodes according to the plant identifier and the affiliation further comprises:
when the plant node model is established, establishing a second initial connection relation which directly points to the obtained plant nodes aiming at each plant node obtained in advance through the plant node model, wherein the second initial connection relation is used for representing the association between plant stations corresponding to the obtained plant nodes;
and obtaining a target connection relation among the nodes according to the second initial connection relation, the station identification and the subordinate relation.
7. A converter station power flow estimation device based on graph technology, the device comprising:
The system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring station data information of each station in a target area and equipment data information of each power equipment under each station, the station data information comprises station identifiers of each station, the equipment data information comprises affiliations and power measurement of each power equipment, and each station in the target area comprises a target converter station and opposite-end stations of the target converter station;
the building module is used for obtaining each station node corresponding to each station and each equipment node corresponding to each power equipment in a graph database by utilizing the station data information and the equipment data information, and obtaining a target connection relation between each node according to the station identification and the subordinate relation;
the estimation module is used for acquiring all target equipment nodes which are directly connected with the opposite terminal station nodes corresponding to the opposite terminal station based on the target connection relation, and acquiring the exchange power transmitted by the opposite terminal station and the target converter station based on the power measurement corresponding to all the target equipment nodes, wherein the exchange power is used for determining the line flow of the target converter station, and the target equipment nodes are used for representing equipment nodes which are not directly connected with the target converter station among the equipment nodes which are directly connected with the opposite terminal station nodes;
The step of obtaining all target equipment nodes directly connected with the opposite terminal station node corresponding to the opposite terminal station based on the target connection relation comprises the following steps:
and acquiring second-order neighbor nodes of the target converter station node based on the target connection relation to obtain all opposite terminal station nodes.
8. The apparatus of claim 7, wherein the estimation module, when performing the acquiring all target device nodes directly connected to the peer station node corresponding to the peer station, is configured to:
acquiring all unit nodes in the equipment nodes directly connected with the opposite terminal station node to obtain a target unit node;
acquiring all load nodes in equipment nodes directly connected with the opposite terminal station node to obtain a target load node;
obtaining a line node which is not directly connected with the target converter station node in equipment nodes which are directly connected with the opposite terminal station node, so as to obtain a target line node;
and combining the target unit node, the target load node and the target line node to obtain all target equipment nodes.
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 7 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 7.
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