CN114896457A - Generation method, device, equipment and storage medium of electric carbon database - Google Patents
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Abstract
The embodiment of the application provides a generation method, a generation device, generation equipment and a storage medium of an electric carbon database, and relates to the technical field of power grids. The method comprises the following steps: acquiring relevant data of a target power grid, wherein the relevant data of the target power grid comprises generator group data, load data, bus data and line data of a power system; creating nodes according to the generator group data, the load data and the bus data, creating a line side for connecting the nodes according to the line data, and generating a carbon database, wherein the carbon database is a database and is used for performing carbon analysis calculation; and acquiring periodic power grid monitoring data, and loading the periodic power grid monitoring data into an electric carbon database to update the attribute information of the nodes and the line sides. By adopting the technical scheme provided by the embodiment of the application, the data processing efficiency of the electric carbon database can be improved.
Description
Technical Field
The embodiment of the application relates to the technical field of power grids, in particular to a generation method, a generation device, generation equipment and a storage medium of an electrical carbon database.
Background
In modern society, a power grid becomes a part of social infrastructure, and the coverage rate of the power grid is higher and higher.
In the related art, a relational database is adopted to manage electrical measurement data in a power grid, because the relational database is not easy to expand and the relevance between data is weak, join operation is required when the relation between entities is inquired, the join operation is time-consuming, and the relation between the entities (such as the relation between equipment and equipment, the relation between equipment and a line and the like) is often required to be acquired in the data processing process related to the power grid, so that the operations of data inquiry, data analysis and the like on the related data of the power grid are time-consuming under the condition of large data volume, and the data processing efficiency of the database corresponding to the power grid is low.
Disclosure of Invention
The embodiment of the application provides a generation method, a generation device, generation equipment and a storage medium of an electric carbon database, and the data processing efficiency of the electric carbon database can be improved. The technical scheme is as follows:
according to an aspect of an embodiment of the present application, there is provided a method for generating an electrical carbon database, the method including:
acquiring relevant data of a target power grid, wherein the relevant data of the target power grid comprises power generation unit data, load data, bus data and line data of a power system, the power generation unit data comprises electric carbon data and attribute data of a power generation unit in the target power grid, the load data comprises the electric carbon data and the attribute data of the load group in the target power grid, the bus data comprises the electric carbon data and the attribute data of a bus in the target power grid, and the line data comprises the electric carbon data and the attribute data of a line in the target power grid;
creating nodes according to the generator group data, the load data and the bus data, and creating a line side for connecting the nodes according to the line data to generate an electric carbon database, wherein the electric carbon database is a database and is used for carrying out electric carbon analysis and calculation;
and acquiring periodic power grid monitoring data, and loading the periodic power grid monitoring data into the carbon-electricity database to update the attribute information of the node and the line side.
According to an aspect of an embodiment of the present application, there is provided an apparatus for generating an electrical carbon database, the apparatus including:
the data acquisition module is used for acquiring relevant data of a target power grid, wherein the relevant data of the target power grid comprises generator set data, load data, bus data and line data of a power system, the generator set data comprises electric carbon data and attribute data of a generator set in the target power grid, the load data comprises electric carbon data and attribute data of a load set in the target power grid, the bus data comprises electric carbon data and attribute data of a bus in the target power grid, and the line data comprises electric carbon data and attribute data of a line in the target power grid;
the database generating module is used for creating nodes according to the generator group data, the load data and the bus data, creating a line side for connecting the nodes according to the line data, and generating an electrical carbon database, wherein the electrical carbon database is a database and is used for electrical carbon analysis and calculation;
and the graph database updating module is used for acquiring periodic power grid monitoring data and loading the periodic power grid monitoring data into the power carbon database so as to update the attribute information of the nodes and the line sides.
According to an aspect of embodiments of the present application, there is provided a computer device, the computer device comprising a processor and a memory, the memory having stored therein a computer program, the computer program being loaded by the processor and executed to implement the above-mentioned method for generating an electrical carbon database.
According to an aspect of embodiments of the present application, there is provided a computer-readable storage medium having at least one instruction, at least one program, a set of codes, or a set of instructions stored therein, which is loaded and executed by a processor to implement the above method for generating an electrical carbon database.
According to an aspect of an embodiment of the present application, there is provided a computer program product loaded and executed by a processor to implement the above method for generating an electrical carbon database.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
by unifying the relevant data of the power grid into the graph database, the graph database can better describe the relationship between the data, so that the time required for operations such as data query and data analysis on the relevant data of the power grid is saved, and the data processing efficiency of the electric carbon database is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for generating an electrical carbon database according to an embodiment of the present application;
FIG. 2 is a schematic illustration of an electrical carbon flow provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of a power grid topology provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a regional power grid provided by an embodiment of the present application;
fig. 5 is a flowchart of a method for generating an electrical carbon database according to another embodiment of the present application;
FIG. 6 is a schematic illustration of the management of an electrical carbon database provided by one embodiment of the present application;
fig. 7 is a block diagram of an apparatus for generating an electrical carbon database according to an embodiment of the present application;
fig. 8 is a block diagram of an apparatus for generating an electrical carbon database according to another embodiment of the present application;
FIG. 9 is a block diagram of a computer device provided by one embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of methods consistent with aspects of the present application, as detailed in the appended claims.
According to the method provided by the embodiment of the application, the execution main body of each step can be a computer device, and the computer device refers to an electronic device with data calculation, processing and storage capabilities. The Computer device may be a terminal such as a PC (Personal Computer), a tablet, a smartphone, a wearable device, a smart robot, or the like; or may be a server. The server may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services.
The technical solution of the present application will be described below by means of several embodiments.
Referring to fig. 1, a flowchart of a method for generating an electrical carbon database according to an embodiment of the present application is shown. In the present embodiment, the method is mainly exemplified by being applied to the computer device described above. The method can comprise the following steps (101-103).
In some embodiments, the target power grid includes a genset, a load bank, a bus, and a line. Each generator set comprises at least one generator; each load group includes at least one load device (also referred to as a power consumer). For example, power generation equipment in the same power plant may be grouped in the same power generation unit, and the one power plant may be represented as one power generation node; for another example, load devices in the same plant may be grouped in the same load group, and the one plant may be represented as one load node.
Alternatively, a generator set may also include only one power generation device, i.e., one power generation device may be represented as one power generation node. Alternatively, a load group may include only one load device, that is, one load device may be represented as one load node.
The bus can be regarded as a special line, and the bus refers to a shared passage on which a plurality of devices are connected in a parallel branch manner; the line may be a common wire (not a bus) for transmitting electrical energy from device to device, or from device to bus, or from bus to bus.
In some embodiments, the relevant data of the target grid includes generator set data, load data, bus data, and line data of the power system, the generator set data includes electrical carbon data and attribute data of a generator set in the target grid, the load data includes electrical carbon data and attribute data of a load set in the target grid, the bus data includes electrical carbon data and attribute data of a bus in the target grid, and the line data includes electrical carbon data and attribute data of a line in the target grid.
And 102, creating nodes according to the generator group data, the load data and the bus data, and creating line sides for connecting the nodes according to the line data to generate an electrical carbon database.
In some embodiments, the electrical carbon database is a graph database used to perform electrical carbon analysis calculations. The graph database is a database capable of better describing the relationship between entities, and the graph database takes nodes and edges as the base storage units and can efficiently store and query data in the nodes and the edges. Thus, nodes and edges in the electrical carbon database can be visualized with a topological graph according to relationships between entities. Alternatively, individual gensets, load groups, and buses are represented as nodes and lines are represented as edges (i.e., line sides) in the topology.
In some embodiments, at least one power generation node, at least one load node, and at least one bus node are created from the generator group data, the load data, and the bus data; the attribute information of the power generation node comprises electric carbon data and attribute data of the generator set, the attribute information of the load node comprises electric carbon data and attribute data of the load group, and the attribute information of the bus node comprises electric carbon data and attribute data of a bus; and according to the line data, creating line edges among the power generation nodes, the load nodes and the bus nodes, and generating an electrical carbon database, wherein attribute information of the line edges comprises electrical carbon data and attribute data of the lines.
In some embodiments, electrical carbon data includes electrical capacity measurement data such as voltage, current, input/output electrical capacity, etc. of a device (e.g., generator, load device) or bus or line; the electrical carbon data also includes electrical carbon intensity (which may be represented by symbol CI), carbon emission (which may be represented by symbol CE), and the like. Wherein, the character type of the electric carbon strength and the carbon emission in the electric carbon database may be double. Alternatively, the electrical carbon intensity refers to the amount of carbon emissions per unit of output/consumption electricity (e.g., 1 kilowatt-hour electricity). That is, the value of the electrical carbon intensity can be calculated by comparing the output/consumed electrical energy corresponding to the carbon emission amount.
In some embodiments, the attribute data may refer to model, voltage rating, current rating, power rating, etc. of the device/bus/line.
In some embodiments, the attribute data of the generator in the electrical carbon database is shown in table 1 below, but is not limited to the following attribute data.
TABLE 1
| (symbol) | Character type | Means of | |
| 1 | mRID | string | Identification |
| 2 | Substation | string | Station identifier |
| 3 | BaseVoltage | int | Reference voltage identification |
| 4 | VoltageLevel | int | Affiliated voltage class identification |
| 5 | I_node | int | Physical connection node number |
| 6 | RatedMW | double | Power limit value |
| 7 | r | double | Positive sequence reactance |
| 8 | x | double | Positive sequence susceptance |
| 9 | r0 | double | Zero sequence reactance |
| 10 | x0 | double | Zero sequence susceptance |
In some embodiments, the attribute data for the bus bars in the electrical carbon database is shown in table 2 below, but is not limited to the following attribute data.
TABLE 2
In some embodiments, the attribute data of the load devices in the electrical carbon database is shown in table 3 below, but is not limited to the following attribute data.
TABLE 3
In some embodiments, the attribute data for the lines in the electrical carbon database is shown in table 4 below, but is not limited to the following attribute data.
TABLE 4
In some embodiments, the electrical measurement data for the power generation equipment in the electrical carbon database is shown in table 5 below, but is not limited to the following attribute data.
TABLE 5
In some embodiments, the electrical measurement data for the bus bars in the electrical carbon database is shown in table 6 below, but is not limited to the following attribute data.
TABLE 6
| (symbol) | Character type | Means of | |
| 1 | P | double | Active power |
| 2 | Q | double | Reactive power |
| 3 | I | double | Electric current |
| 4 | V | double | Voltage of |
In some embodiments, the electrical measurement data of the load devices in the electrical carbon database is shown in table 7 below, but is not limited to the following attribute data.
TABLE 7
| (symbol) | Character type | Means of | |
| 1 | P | double | Active power |
| 2 | Q | double | Reactive power |
| 3 | I | double | Electric current |
| 4 | V | double | Voltage of |
| 5 | PE | double | Electric quantity |
In some embodiments, the electrical measurement data for the lines in the electrical carbon database is shown in table 8 below, but is not limited to the following attribute data.
TABLE 8
| (symbol) | Character type | Means of | |
| 1 | P | double | Active power |
| 2 | Q | double | Reactive power |
| 3 | I | double | Electric current |
| 4 | V | double | Voltage of |
In some embodiments, as shown in fig. 2, electrical carbon data of genset 21 is used to indicate electrical carbon flow out of the genset, electrical carbon data of bus 22 is used to indicate electrical carbon flow into or out of the bus, and electrical carbon data of load group 23 is used to indicate electrical carbon flow of the load group. Optionally, the lines 24 are used to enable power transfer between the devices/devices and the bus bars/bus bars. The transmission process of the electric energy can also be regarded as the transmission process of the carbon flow because the carbon emission is generated when the electric energy is generated, and therefore, the line 24 can be called as the transmission process of the carbon flow.
In some embodiments, based on the electrical carbon flow schematic of fig. 2, a grid topology schematic as shown in fig. 3 may be generated. Wherein the generator set 21 in fig. 2 is represented as a generating node 31 in the grid topology of fig. 3, the bus 22 in fig. 2 is represented as a bus node 32 in the grid topology of fig. 3, the load group 23 in fig. 2 is represented as a load node 33 in the grid topology of fig. 3, and the line 24 in fig. 2 is represented as a line edge 34 in the grid topology of fig. 3.
And 103, acquiring periodic power grid monitoring data, and loading the periodic power grid monitoring data into an electric carbon database to update attribute information of the nodes and the line sides.
In some embodiments, update data of devices, buses, lines, and the like in the power grid are periodically acquired, and the update database, that is, nodes and roadside sides of the update database, are reloaded according to the acquired update data at regular intervals. Such as adding or subtracting various nodes and route sides, updating electrical carbon data and/or attribute data of the nodes or route sides, and the like.
In some embodiments, one period of acquiring grid monitoring data may be 5 seconds, 10 minutes, 1 hour, 6 hours, 12 hours, 1 day, 3 days, 1 week, 1 month, and so forth. The specific duration of one period may be set by a relevant technician according to an actual situation, which is not specifically limited in the embodiment of the present application.
Optionally, the electrical carbon data management system comprises a plurality of storage nodes and a plurality of compute nodes.
In some embodiments, the electrical carbon database is stored in a plurality of storage nodes in a distributed manner; and performing distributed calculation by adopting at least one of the plurality of calculation nodes based on the electric carbon database to obtain electric carbon data calculation results corresponding to the target node and/or the target line edge. Alternatively, the electric carbon data calculation results are carbon emission amount, output/consumed electricity amount, electric carbon intensity, and the like.
Alternatively, the carbon emission amount may be calculated from the electrical carbon intensity and the output/consumed power amount.
In some embodiments, the electrical carbon strength and the target output electric quantity of the target generator set are determined according to the attribute data of the target power generation node, and the target power generation node corresponds to the target generator set; and multiplying the target output electric quantity by the electric carbon intensity of the target generator set to obtain the carbon emission of the target generator set corresponding to the target output electric quantity.
In some embodiments, a topological map corresponding to the electrical carbon database of the electrical grid of the first area is shown on the map of the first area, the electrical grid of the first area being included in the target electrical grid.
In some embodiments, determining, according to the electrical carbon database, electrical carbon intensities respectively corresponding to devices in an electrical network of a second area, where the electrical network of the second area is included in a target electrical network; and generating an electrical carbon intensity distribution thermodynamic diagram corresponding to the second area according to the electrical carbon intensity corresponding to each device in the power grid of the second area, wherein the device comprises a generator set and/or a load set.
Alternatively, the electric carbon intensities of the devices in the power grid of the second area and the distribution positions of the devices in the second area may be calculated to obtain an average value of the electric carbon intensities of the devices in the sub-areas of the second area, and generate an electric carbon intensity distribution thermodynamic diagram as shown in fig. 4. In fig. 4, dots represent nodes, and solid line segments represent roadside edges. Wherein the electrical carbon strength of the solid circle 46 corresponding to the device is greater than the electrical carbon strength of the circle 47 filled with the shadow corresponding to the device; the electric carbon intensity of the equipment corresponding to the shaded circle 47 is greater than that of the equipment corresponding to the hollow circle 48 with thicker lines; the thicker hollow circle 48 corresponds to the electrical carbon strength of the device, and the thinner hollow circle 49 corresponds to the electrical carbon strength of the device; in addition, the electric carbon intensity of the roadside represented by the solid line segment with thicker lines in fig. 4 is greater than that of the roadside represented by the solid line segment with thinner lines, thereby visually displaying, comparing and analyzing the electric carbon intensity of each sub-region of the second region and the difference between the sub-regions.
In some embodiments, determining, according to the electrical carbon database, carbon emissions corresponding to respective devices in a power grid of a third area, where the power grid of the third area is included in the target power grid; and generating a carbon emission distribution thermodynamic diagram corresponding to the third area according to the carbon emission corresponding to each device in the power grid of the third area, wherein the device comprises a generator set and/or a load set.
Optionally, the carbon emission amount corresponding to each device in the power grid of the third area and the distribution position of the devices in the third area may be calculated to obtain an average value of the carbon emission amount of the devices in each sub-area of the third area, generate a corresponding carbon emission amount distribution thermodynamic diagram, and visually display, compare, and analyze the carbon emission amount of each sub-area of the third area and the difference between the sub-areas.
In some embodiments, as shown in FIG. 5, the method for generating an electrical carbon database may further include the following steps (41-44):
and step 44, periodically updating the electrical measurement data of the node and the line side.
In some embodiments, the attributes of the nodes, line edges, and node and line edges may be created by file loading and parsing (e.g., SG-CIM (a grid company common data model) or CIM/E (grid common model description specification) model files provided by grid scheduling), database connection and parsing (e.g., a database containing grid equipment information), manual data (e.g., manually entered grid equipment information data) input processing.
In some embodiments, the power line topological connection relation information can be obtained through file loading and analysis, database connection and analysis, and manual data (such as manually input power grid line topological connection information data) input processing; and generating an edge and attribute model according to the type of the power line, generating a connection relation between a node and the edge through equipment information connected with the end points of the power line, and forming a power grid topological relation described by the node-edge model, namely generating the carbon database.
In some embodiments, as shown in fig. 6, the management of the electrical carbon database includes: database configuration management 36, electrical carbon data access management 37, electrical carbon data calculation management 38, electrical carbon data storage management 39, and the like. The database configuration management 36 may be set by a technician (e.g., engineering modeler), the electrical carbon data access management 37 may be implemented by a grid dispatching system or a data collection device, and the electrical carbon data storage management 39 may be implemented by a historical database. Optionally, the electrical carbon database may be applied to scenarios such as power generation side electrical carbon coupling calculation, node carbon strength calculation and carbon flow analysis, user side electrical carbon strength and carbon emission calculation, regional electrical carbon strength calculation and carbon emission statistics, and carbon strength distribution thermodynamic diagram display, which is not specifically limited in this embodiment of the present application.
In summary, in the technical scheme provided in the embodiment of the present application, relevant data of a power grid are unified into the graph database, and the graph database can better describe the relationship between the data, so that time required for operations such as data query and data analysis performed on the relevant data of the power grid is saved, and further the data processing efficiency of the electrical carbon database is improved.
In addition, in the embodiment of the application, the electrical measurement data and the carbon number data in the power grid are integrated in the same graph database model, for example, when a node is added, the electrical measurement data and the carbon number data of the node are stored together and are bound with the relationship of the node, so that the electrical and carbon data are integrated, fused and managed, and if the conversion efficiency of converting the electrical measurement data into the carbon data/converting the carbon data into the electrical measurement data is improved, the data processing efficiency of the electrical and carbon database is further improved.
In addition, due to the fact that the map database is high in expansibility, new nodes and roadside sides can be expanded conveniently, and therefore flexibility of the electronic carbon database is improved.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Referring to fig. 7, a block diagram of an apparatus for generating an electrical carbon database according to an embodiment of the present application is shown. The device has the function of realizing the generation method example of the electrical carbon database, and the function can be realized by hardware or by hardware executing corresponding software. The device may be the apparatus described above, or may be provided on a computer apparatus. The apparatus 700 may include: a data acquisition module 710, a database generation module 720, and a database update module 730.
The data obtaining module 710 is configured to obtain relevant data of a target power grid, where the relevant data of the target power grid includes power generation unit data, load data, bus data, and line data of an electric power system, the power generation unit data includes electrical carbon data and attribute data of a power generation unit in the target power grid, the load data includes electrical carbon data and attribute data of a load group in the target power grid, the bus data includes electrical carbon data and attribute data of a bus in the target power grid, and the line data includes electrical carbon data and attribute data of a line in the target power grid.
The database generation module 720 is configured to obtain periodic power grid monitoring data, and load the periodic power grid monitoring data into the electrical carbon database to update the attribute information of the node and the route side.
The database updating module 730 is configured to create a node according to the generator group data, the load data, and the bus data, and create a route side for connecting the node according to the route data, so as to generate an electrical carbon database, where the electrical carbon database is a graph database and is used for electrical carbon analysis and calculation.
In some embodiments, the equipment includes at least one generator set and at least one load group, each generator set including at least one power generation device, each load group including at least one load device; the database generating module 720 is configured to:
creating at least one power generation node, at least one load node, and at least one bus node from the equipment data and the bus data; the attribute information of the power generation node comprises electric carbon data and attribute data of the generator set, the attribute information of the load node comprises electric carbon data and attribute data of the load group, and the attribute information of the bus node comprises electric carbon data and attribute data of the bus;
and creating line edges among the power generation nodes, the load nodes and the bus nodes according to the line data to generate the electric carbon database, wherein the attribute information of the line edges comprises electric carbon data and attribute data of the lines.
In some embodiments, the electrical carbon data of the generator set is indicative of an electrical carbon flow output by the generator set, the electrical carbon data of the bus bar is indicative of an electrical carbon flow into or out of the bus bar, and the electrical carbon data of the load group is indicative of an electrical carbon flow of the load group.
In some embodiments, as shown in fig. 8, the apparatus 700 further comprises: a charge determination module 790 and an emissions determination module 740.
The electric quantity determining module 790 is configured to determine the electric carbon strength and the target output electric quantity of the target generator set according to the attribute data of the target power generation node, where the target power generation node corresponds to the target generator set.
The emission amount determining module 740 is configured to multiply the target output electric quantity and the electric carbon intensity to obtain the carbon emission amount of the target generator set corresponding to the target output electric quantity.
In some embodiments, as shown in fig. 8, the apparatus 700 further comprises: a module 750 is shown.
The display module 750 is configured to display an electrical carbon database of a power grid of a first area on a map of the first area, where the power grid of the first area is included in the target power grid.
In some embodiments, as shown in fig. 8, the apparatus 700 further comprises: a thermodynamic diagram generation module 760.
The thermodynamic diagram generation module 760 to: determining electric carbon intensity respectively corresponding to each device in the power grid of a second area according to the electric carbon database, wherein the power grid of the second area is included in the target power grid; and generating an electrical carbon intensity distribution thermodynamic diagram corresponding to the second area according to the electrical carbon intensity corresponding to each device in the power grid of the second area.
The thermodynamic diagram generation module 760 is further configured to: determining carbon emission corresponding to each device in a power grid of a third area according to the electric carbon database, wherein the power grid of the third area is included in the target power grid; and generating a carbon emission distribution thermodynamic diagram corresponding to the third area according to the carbon emission corresponding to each device in the power grid of the third area.
In some embodiments, an electrical carbon data management system includes a plurality of storage nodes and a plurality of compute nodes; as shown in fig. 8, the apparatus 700 further includes: a storage module 770 and a result determination module 780.
The storage module 770 is configured to store the electrical carbon database in a distributed manner in the plurality of storage nodes.
The result determining module 780 is configured to perform distributed computation based on the electrical carbon database by using at least one of the plurality of computing nodes to obtain an electrical carbon data computing result corresponding to a target node and/or a target line edge.
In summary, in the technical scheme provided in the embodiment of the present application, relevant data of a power grid are unified into the graph database, and the graph database can better describe the relationship between the data, so that time required for operations such as data query and data analysis performed on the relevant data of the power grid is saved, and further the data processing efficiency of the electrical carbon database is improved.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 9, a block diagram of a computer device according to an embodiment of the present application is shown. The computer device is used for implementing the generation method of the electrical carbon database provided in the above embodiment. Specifically, the method comprises the following steps:
the computer apparatus 900 includes a CPU (Central Processing Unit) 901, a system Memory 904 including a RAM (Random Access Memory) 902 and a ROM (Read-Only Memory) 903, and a system bus 905 connecting the system Memory 904 and the Central Processing Unit 901. The computer device 900 also includes a basic I/O (Input/Output) system 906, which facilitates the transfer of information between devices within the computer, and a mass storage device 907 for storing an operating system 913, application programs 914, and other program modules 915.
The basic input/output system 906 includes a display 908 for displaying information and an input device 909 such as a mouse, keyboard, etc. for user input of information. Wherein the display 908 and the input device 909 are connected to the central processing unit 901 through an input output controller 910 connected to the system bus 905. The basic input/output system 906 may also include an input/output controller 910 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, input-output controller 910 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 907 is connected to the central processing unit 901 through a mass storage controller (not shown) connected to the system bus 905. The mass storage device 907 and its associated computer-readable media provide non-volatile storage for the computer device 900. That is, the mass storage device 907 may include a computer-readable medium (not shown) such as a hard disk or CD-ROM (Compact disk Read-Only Memory) drive.
Without loss of generality, the computer-readable media may comprise computer storage media and communication media. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory, CD-ROM, DVD (Digital Video Disc) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will appreciate that the computer storage media is not limited to the foregoing. The system memory 904 and mass storage device 907 described above may be collectively referred to as memory.
According to various embodiments of the present application, the computer device 900 may also operate as a remote computer connected to a network via a network, such as the Internet. That is, the computer device 900 may be connected to the network 912 through the network interface unit 911 coupled to the system bus 905, or the network interface unit 911 may be used to connect to other types of networks or remote computer systems (not shown).
In an exemplary embodiment, there is also provided a computer-readable storage medium having stored therein a computer program which, when executed by a processor, implements the above-described method of generating an electrical carbon database.
In an exemplary embodiment, there is also provided a computer program product loaded and executed by a processor to implement the above-mentioned method of generating an electrical carbon database.
It should be understood that reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
The above description is only exemplary of the present application and should not be taken as limiting the present application, and any modifications, equivalents, improvements and the like that are made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A method of generating an electrical carbon database, the method comprising:
acquiring relevant data of a target power grid, wherein the relevant data of the target power grid comprises power generation unit data, load data, bus data and line data of a power system, the power generation unit data comprises electric carbon data and attribute data of a power generation unit in the target power grid, the load data comprises the electric carbon data and the attribute data of the load group in the target power grid, the bus data comprises the electric carbon data and the attribute data of a bus in the target power grid, and the line data comprises the electric carbon data and the attribute data of a line in the target power grid;
creating nodes according to the generator group data, the load data and the bus data, and creating a line side for connecting the nodes according to the line data to generate an electric carbon database, wherein the electric carbon database is a database and is used for carrying out electric carbon analysis and calculation;
and acquiring periodic power grid monitoring data, and loading the periodic power grid monitoring data into the carbon-electricity database to update the attribute information of the node and the line side.
2. The method of claim 1, wherein creating a node from the generator set data, the load data, and the bus bar data, and creating a route side for connecting the node from the route data, generating an electrical-carbon database, comprises:
creating at least one power generation node, at least one load node, and at least one bus node from the generator group data, the load data, and the bus data; the attribute information of the power generation node comprises electric carbon data and attribute data of the generator set, the attribute information of the load node comprises electric carbon data and attribute data of the load group, and the attribute information of the bus node comprises electric carbon data and attribute data of the bus;
and creating line edges among the power generation nodes, the load nodes and the bus nodes according to the line data to generate the electric carbon database, wherein the attribute information of the line edges comprises electric carbon data and attribute data of the lines.
3. The method of claim 1, wherein the electrical carbon data of the generator set is indicative of an electrical carbon flow output by the generator set, the electrical carbon data of the bus bar is indicative of an electrical carbon flow into or out of the bus bar, and the electrical carbon data of the load group is indicative of an electrical carbon flow of the load group.
4. The method of claim 2, further comprising:
determining the electric carbon intensity and the target output electric quantity of a target generator set according to the attribute data of a target power generation node, wherein the target power generation node corresponds to the target generator set;
and multiplying the target output electric quantity by the electric carbon intensity of the target generator set to obtain the carbon emission of the target generator set corresponding to the target output electric quantity.
5. The method according to any one of claims 1 to 4, further comprising:
and displaying a topological graph corresponding to an electric carbon database of the power grid of the first area on a map of the first area, wherein the power grid of the first area is included in the target power grid.
6. The method according to any one of claims 1 to 4, further comprising:
determining electric carbon intensity respectively corresponding to each device in the power grid of a second area according to the electric carbon database, wherein the power grid of the second area is included in the target power grid; generating an electrical carbon intensity distribution thermodynamic diagram corresponding to the second area according to electrical carbon intensities respectively corresponding to devices in the power grid of the second area, wherein the devices comprise the generator set and/or the load group;
and/or the presence of a gas in the gas,
determining carbon emission corresponding to each device in a power grid of a third area according to the electric carbon database, wherein the power grid of the third area is included in the target power grid; and generating a carbon emission distribution thermodynamic diagram corresponding to the third area according to the carbon emission corresponding to each device in the power grid of the third area, wherein the device comprises the generator set and/or the load set.
7. The method of any one of claims 1 to 4, wherein the electrical carbon data management system comprises a plurality of storage nodes and a plurality of computing nodes; the method further comprises the following steps:
the electrical carbon database is stored in a distributed manner in the plurality of storage nodes;
and performing distributed computation based on the electrical carbon database by adopting at least one of the computing nodes to obtain electrical carbon data computation results corresponding to the target node and/or the target line edge.
8. An apparatus for generating an electrical carbon database, the apparatus comprising:
the data acquisition module is used for acquiring relevant data of a target power grid, wherein the relevant data of the target power grid comprises generator set data, load data, bus data and line data of a power system, the generator set data comprises electric carbon data and attribute data of a generator set in the target power grid, the load data comprises electric carbon data and attribute data of a load set in the target power grid, the bus data comprises electric carbon data and attribute data of a bus in the target power grid, and the line data comprises electric carbon data and attribute data of a line in the target power grid;
the database generating module is used for creating nodes according to the generator group data, the load data and the bus data, creating a line side for connecting the nodes according to the line data, and generating an electrical carbon database, wherein the electrical carbon database is a database and is used for electrical carbon analysis and calculation;
and the graph database updating module is used for acquiring periodic power grid monitoring data and loading the periodic power grid monitoring data into the power carbon database so as to update the attribute information of the nodes and the line sides.
9. A computer device, characterized in that the computer device comprises a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded by the processor and executed to realize the generation method of the electrical carbon database according to any one of the preceding claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored, the computer program being loaded and executed by a processor to implement the method for generating an electrical carbon database according to any one of claims 1 to 7.
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