CN117194458A - Updating method, device and equipment of electric power carbon intensity and storage medium - Google Patents
Updating method, device and equipment of electric power carbon intensity and storage medium Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a storage medium for updating electric power carbon intensity, wherein the method comprises the following steps: acquiring a carbon flow relation of a target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power from the input power station to the output power station; the power station comprises a power station and a transformer substation; grouping the carbon flow relations to obtain at least one carbon flow relation group; wherein the carbon flow relation group comprises at least one carbon flow relation; iteratively updating the carbon intensity of the transformer substation according to the at least one carbon flow relation group; and when the iteration end condition is met, determining the updated carbon intensity as the target carbon intensity of the transformer substation. By utilizing the method, the data are processed to form a basic data structure of topological graph modeling, and the high-efficiency calculation of the carbon emission factor of the power grid is realized by carrying out grouping parallel calculation on the carbon flow relation.
Description
Technical Field
The embodiment of the invention relates to the technical field of power grid environmental protection, in particular to a method, a device, equipment and a storage medium for updating electric power carbon intensity.
Background
The electric carbon graph is a panoramic electric-carbon coupling model which is constructed based on electric carbon emission and related data of a power source side, a power grid side and a user side and by adopting graph calculation and knowledge graph technology, and spans provincial areas, professions and information systems. The research of the electric carbon graph shows that the carbon emission of the power plant is transferred depending on the active power flow of the power grid, so that the calculation of the carbon emission factor of the power grid at the plant level is realized, and a new view is provided for the allocation of the carbon emission responsibility in the power system. In the process of realizing the electric carbon graph, the topological structure of the whole power grid is required to be modeled, and the power generation data and the active power flow data of the power plant are utilized to carry out the calculation of the carbon emission factor of the high-frequency power grid. Considering that the power grid is large in scale and complex in connection relation, the electric carbon factor calculation resource requirement is large, so that an algorithm research which is easy to model the power grid topology and high in calculation efficiency is needed to be applied to the 'electric carbon one-map' in the ground.
In recent years, due to the rapid development and management extension of power grid equipment, through and fine business and the requirement of real-time dispatching of a power grid, the power grid topology analysis supporting the business such as marketing, distribution, dispatching and the like in the running of the power grid has become one of the bottleneck problems of the development of the intelligent power grid. When the traditional method is used for carrying out carbon flow transfer calculation, matrix inversion is involved in carrying out carbon flow transfer calculation of a power grid, and in consideration of large power grid scale, complex connection relation, large electric carbon factor calculation resource requirement, high dimension of the matrix constructed by the traditional method, and high calculation power requirement, the matrix inversion is involved, so that algorithm research which is easy for power grid topology modeling and high in calculation efficiency is needed.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a storage medium for updating electric power carbon intensity, which can realize the calculation of a power grid carbon emission flow and a node carbon emission factor.
In a first aspect, an embodiment of the present invention provides a method for updating electric power carbon intensity, including:
acquiring a carbon flow relation of a target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power from the input power station to the output power station; the power station comprises a power station and a transformer substation;
Grouping the carbon flow relations to obtain at least one carbon flow relation group; wherein the carbon flow relation group comprises at least one carbon flow relation;
iteratively updating the carbon intensity of the transformer substation according to the at least one carbon flow relation group;
and when the iteration end condition is met, determining the updated carbon intensity as the target carbon intensity of the transformer substation.
Optionally, grouping the carbon flow relationships to obtain at least one carbon flow relationship group includes:
acquiring the ID of each power station;
determining the grouping number according to the carbon flow relation;
grouping the carbon flow relationships based on the ID and the number of groupings to obtain at least one carbon flow relationship group.
Optionally, grouping the carbon flow relationships based on the ID and the number of groupings to obtain at least one carbon flow relationship group, including:
determining the number of the carbon flow relation group according to the grouping number;
determining the number of the carbon flow relation according to the ID, the set large prime number and the grouping number;
comparing the number of the carbon flow relation with the number of the carbon flow relation group;
and dividing the carbon flow relation into carbon flow relation groups with consistent numbers to obtain at least one carbon flow relation group.
Optionally, obtaining the carbon flow relationship of the target area includes:
acquiring power grid dispatching data of a target area in a certain time period; the power grid dispatching data comprise power station basic data and alternating current line segment data; the plant basis data includes carbon intensity; the alternating current line segment data comprises an output power station, an input power station and active power;
and extracting the carbon flow relation from the power grid dispatching data.
Optionally, extracting the carbon flow relationship from the grid dispatching data includes:
taking the carbon intensity in the power station basic data as initial carbon intensity;
and determining the active power from the input power station to the output power station according to the alternating current line segment data.
Optionally, iteratively updating the carbon intensity of the substation according to the at least one carbon flow relation group includes:
for the current transformer substation, acquiring at least one carbon flow relation corresponding to the current transformer substation serving as an output power station from the carbon flow relation group;
updating the carbon intensity of the current power station according to the initial carbon intensity and the active power of the at least one carbon flow relation.
Optionally, updating the carbon intensity of the current power station according to the initial carbon intensity and the active power of the at least one carbon flow relation is calculated according to the following formula:
Wherein, CD tk For the updated carbon intensity, CD of the current transformer substation fk_i For the carbon intensity before the update of the input power station corresponding to the ith carbon flow relation, n is the number of the carbon flow relations and P i And the active power from the input power station to the output power station corresponding to the ith carbon flow relation.
Optionally, the iteration ending condition is that an error between the target carbon intensity of the substation determined in the iteration and the target carbon intensity of the substation obtained in the previous iteration is smaller than a set threshold or the iteration number reaches a set value.
In a second aspect, an embodiment of the present invention further provides an apparatus for updating electric power carbon intensity, where the apparatus includes:
the data acquisition module is used for acquiring the carbon flow relation of the target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power from the input power station to the output power station; the power station comprises a power station and a transformer substation;
the grouping module is used for grouping the carbon flow relations to obtain at least one carbon flow relation group; wherein the carbon flow relation group comprises at least one carbon flow relation;
the iterative updating module is used for iteratively updating the carbon intensity of the transformer substation according to the at least one carbon flow relation group;
And the target carbon intensity determining module is used for determining the updated carbon intensity as the target carbon intensity of the transformer substation when the iteration ending condition is met.
In a third aspect, embodiments of the present disclosure further provide an electronic device, including:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method for updating power carbon intensity provided by the embodiments of the present disclosure.
In a fourth aspect, the disclosed embodiments also provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are for performing an update method of power carbon intensity that implements the disclosed embodiments.
The invention discloses a method, a device, equipment and a storage medium for updating electric power carbon intensity, wherein the method comprises the following steps: acquiring a carbon flow relation of a target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power from the input power station to the output power station; the power station comprises a power station and a transformer substation; grouping the carbon flow relations to obtain at least one carbon flow relation group; wherein the carbon flow relation group comprises at least one carbon flow relation; iteratively updating the carbon intensity of the transformer substation according to the at least one carbon flow relation group; and when the iteration end condition is met, determining the updated carbon intensity as the target carbon intensity of the transformer substation. By utilizing the method, the data are processed to form a basic data structure of topological graph modeling, and the high-efficiency calculation of the carbon emission factor of the power grid is realized by carrying out grouping parallel calculation on the carbon flow relation.
Drawings
The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.
FIG. 1 is a flowchart of a method for updating electric power carbon intensity according to an embodiment of the present disclosure;
FIG. 2 is a diagram illustrating an example of a grid structure formed based on a carbon flow relationship provided by embodiments of the present disclosure;
FIG. 3 is an exemplary diagram of grouping carbon flow relationships provided by embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of an apparatus for updating electric power carbon intensity according to an embodiment of the disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
It will be appreciated that prior to using the technical solutions disclosed in the embodiments of the present disclosure, the user should be informed and authorized of the type, usage range, usage scenario, etc. of the personal information related to the present disclosure in an appropriate manner according to the relevant legal regulations.
For example, in response to receiving an active request from a user, a prompt is sent to the user to explicitly prompt the user that the operation it is requesting to perform will require personal information to be obtained and used with the user. Thus, the user can autonomously select whether to provide personal information to software or hardware such as an electronic device, an application program, a server or a storage medium for executing the operation of the technical scheme of the present disclosure according to the prompt information.
As an alternative but non-limiting implementation, in response to receiving an active request from a user, the manner in which the prompt information is sent to the user may be, for example, a popup, in which the prompt information may be presented in a text manner. In addition, a selection control for the user to select to provide personal information to the electronic device in a 'consent' or 'disagreement' manner can be carried in the popup window.
It will be appreciated that the above-described notification and user authorization process is merely illustrative and not limiting of the implementations of the present disclosure, and that other ways of satisfying relevant legal regulations may be applied to the implementations of the present disclosure.
It will be appreciated that the data (including but not limited to the data itself, the acquisition or use of the data) involved in the present technical solution should comply with the corresponding legal regulations and the requirements of the relevant regulations.
Example 1
Fig. 1 is a flowchart of updating electric power carbon intensity provided by an embodiment of the present disclosure, where the embodiment of the present disclosure is applicable to a case of implementing calculation of a power grid carbon emission stream and a node carbon potential, the method may be performed by an electric power carbon intensity updating device, and the device may be implemented in a form of software and/or hardware, optionally, by an electronic device, where the electronic device may be a mobile terminal, a PC end, a server, or the like.
As shown in fig. 1, the method for updating the power carbon intensity provided in the embodiment of the present disclosure may specifically include the following steps:
s110, acquiring a carbon flow relation of the target area.
Wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power of the input power station to the output power station; the power station comprises a power station and a transformer substation;
In this embodiment, the carbon flow relationship may be a relationship of the carbon intensity flow direction between the power stations, the initial carbon intensity of the input power station and the output power station, and the active power transmitted from the input power station to the output power station. The carbon strength can be understood as carbon dioxide emissions. The active power may be the electrical power required to keep the powered device operating normally, i.e., electrical power that converts electrical energy into other forms of energy (e.g., mechanical energy, optical energy, thermal energy, etc.). Illustratively, a 5.5 kilowatt motor converts 5.5 kilowatts of electrical energy to mechanical energy and various lighting devices convert electrical energy to light energy.
Specifically, power grid dispatching data of each power station in a certain time period in the target area is obtained, wherein the types of each power station can include: substation, thermal power station, thermal power plant, wind power plant, small water power, hydropower station, nuclear power station, converter station, hydropower plant, pumped storage station, etc. The data integration tool can then be used to extract the carbon flow relationships between the various stations from the grid scheduling data described above and create the carbon flow relationships as tabular information for storage in the system.
Alternatively, the manner of obtaining the carbon flow relationship of the target area may be: acquiring power grid dispatching data of a target area in a certain time period; the power grid dispatching data comprise power station basic data and alternating current line segment data; the plant basis data includes carbon intensity; the alternating current line segment data comprises an output power station, an input power station and active power; and extracting the carbon flow relation from the power grid dispatching data.
In this embodiment, the certain period of time may be one day, and is set according to actual needs, and is not specifically limited in this embodiment. The power grid dispatching data can be data in a modern power grid dispatching automation system, wherein the data comprise power station basic data and alternating current line segment data. The plant base data may include the name, type, initial carbon strength, etc. of the plant. The data of the alternating current line segments can comprise data between the alternating current segments between the power stations and data measured at each detection end between the alternating current segments.
Specifically, power grid dispatching data of a target area in a certain time period are obtained, wherein the power grid dispatching data comprise power station basic data and alternating current line segment data. The method comprises the steps of extracting initial carbon intensity information of each power station from power station basic data in power grid dispatching data, and extracting carbon flow relations among the power stations from alternating current line segment data. Including output power stations, input power stations, and active power between the stations.
Optionally, the method for extracting the carbon flow relation and the active power between the power stations of the initial carbon intensity of each power station from the power grid dispatching data may be: taking the carbon intensity in the basic data of the power station as initial carbon intensity; and determining the carbon flow relation and the active power according to the alternating current line segment data.
Specifically, the carbon intensity in the basic data of the power station is used as the initial carbon intensity, and a power station information broad table is created through a data integration tool. Firstly, processing each line end measurement data in the alternating current line segment data, screening reactive power, creating active power in a line end measurement table, and determining the active power from an input power station to an output power station through the line end measurement table and the alternating current line segment data.
Exemplary, fig. 2 is an exemplary diagram of a grid structure formed based on a carbon flow relationship according to an embodiment of the present disclosure. As shown in fig. 2, a grid structure of the power grid is constructed by 7 plant stations according to the carbon flow relationship. In this grid structure, 9 carbon-sulfur relationships may be included, respectively: a- > C; b- > C; a- > D; c- > D; d- > E; c- > E; d- > F; e- > F; f- > G. Wherein, the station A represents a thermal power station; the station B represents a green energy power station and can be a solar power station, a wind power station and a water power station. C. D, E, F, G the plant may be a substation. The carbon emission factor coefficient of the thermal power station is 0.87, the carbon emission factor coefficient of the new energy station (solar energy, wind energy and water energy) is 0, and the initial carbon emission factor coefficient of the transformer substation is 0.
S120, grouping the carbon flow relations to obtain at least one carbon flow relation group.
Wherein the carbon flow relation group comprises at least one carbon flow relation;
in this embodiment, the carbon flow relationship group may be a set of one or more carbon sulfur relationships.
Specifically, the carbon flow relationships are grouped according to the relationship of the carbon intensity flow directions among the power stations, and at least one carbon flow relationship group is obtained. Wherein the carbon flow relationship group includes at least one carbon flow relationship.
Optionally, the grouping of the carbon flow relationships may be performed in such a way that at least one carbon flow relationship group is obtained: acquiring the ID of a power station; determining the grouping number according to the carbon flow relation; grouping the carbon flow relationships based on the ID and the number of groupings to obtain at least one carbon flow relationship group.
In this embodiment, the ID of the power station may be an identification number of the power station in the system, for example, the power station 111, the power station 222, and the like.
Specifically, the ID of the power station in the power grid dispatching data is obtained, the node which is the most of the input and output power stations is found according to the carbon flow relation, and the node number of the power station is used as the grouping number. And then grouping the carbon flow relations according to the IDs and the grouping number to obtain at least one carbon flow relation group.
By way of example, as shown in fig. 2, it can be seen from the figure that there are two carbon flow relationships for stations C and D as input stations and two carbon flow relationships for output stations, so that the number of nodes 4 of station C or D is set as the number of packets, and the 9 carbon flow relationships in the figure are assigned to the 4 carbon flow relationship groups.
Optionally, grouping the carbon flow relationships based on the ID and the number of groups, and obtaining at least one carbon flow relationship group may be: determining the number of the carbon flow relation group according to the grouping number; determining the number of the carbon flow relation according to the ID, the set large prime number and the grouping number; comparing the number of the carbon flow relation with the number of the carbon flow relation group; and dividing the carbon flow relation into carbon flow relation groups with consistent numbers, and obtaining at least one carbon flow relation group.
In the present embodiment, the set large prime number may be a prime number set in advance. 1125899906842597 may be used in the present application. The number may be an identification of a carbon flow relationship group, where the number may include row identification information and column identification information.
Specifically, the number of carbon flow relation groups is determined according to the number of the groups, and the last column is allowed to have different numbers of rows. For example, if the number of partitions can be opened, such as when the number of packets is 4, the number may be 11, 12, 21, 22. If the number of partitions is not openable, for example, if the number of packets is 8, the numbers may be 11, 12, 13, 21, 22, 23, 31, 32.
In view of the above, when the number of packets can be expressed, the numbering formula for determining the carbon flow relationship according to the ID, the set large prime number, and the number of packets is as follows:
Wherein COL is column identification information; ROW is ROW identification information; src is the input station ID; dst is the output station ID; the mixingPrime is a large prime; numParts is the partition number; MOD is the remainder of the function operation.
When the grouping number is not openable, the numbering formula for determining the carbon flow relation according to the ID, the set large prime number and the grouping number is as follows:
ROW＝MOD(|dst-mixingPrime|,numParts-rows*(cols-1))
wherein COL is column identification information; ROW is ROW identification information; src is the input station ID; dst is the output station ID; the mixingPrime is a large prime; numParts is the partition number; MOD is the remainder of the function operation; cols is the total number of columns of column identification information; rows is the total number of rows of row identification information.
And comparing the number of the obtained carbon flow relation with the number of the carbon flow relation group, and dividing the carbon flow relation into carbon flow relation groups with consistent numbers to obtain at least one carbon flow relation group.
Fig. 3 is an exemplary diagram of a carbon flow relationship grouping provided in an embodiment of the disclosure, where the grouping of fig. 3 is a case of grouping grid structures constructed in fig. 2. As shown in fig. 3 after grouping, groups 11, 12, 21, 22 represent one carbon flow relationship group and the carbon flow relationships contained in each group, respectively.
S130, carrying out iterative updating on the carbon intensity of the transformer substation according to at least one carbon flow relation group.
Specifically, for the current transformer substation, acquiring at least one carbon flow relation corresponding to the current transformer substation as an output power station from the carbon flow relation group; and updating the carbon intensity of the current power station according to the initial carbon intensity and the active power of at least one carbon flow relation.
Optionally, the method for iteratively updating the carbon intensity of the substation according to the at least one carbon flow relation group may be: for a current transformer substation, acquiring at least one carbon flow relation corresponding to the current transformer substation serving as an output power station from a carbon flow relation group; and updating the carbon intensity of the current power station according to the initial carbon intensity and the active power of at least one carbon flow relation.
Specifically, for the current transformer station, at least one carbon flow relation corresponding to the current transformer station as an output power station is obtained from the carbon flow relation group, wherein one output power station can correspond to a plurality of input power stations. And updating the carbon intensity of the current power station according to the initial carbon intensity and the active power of at least one carbon flow relation.
The carbon intensity of the current power station is updated according to the initial carbon intensity and the active power of at least one carbon flow relation, and the following formula is calculated:
Wherein, CD tk For the updated carbon intensity, CD of the current transformer substation fk_i For the carbon intensity before the update of the input power station corresponding to the ith carbon flow relation, n is the number of the carbon flow relations and P i And the active power from the input power station to the output power station corresponding to the ith carbon flow relation.
Specifically, the carbon intensity of the current power station is updated according to the initial carbon intensity and the active power of at least one carbon flow relation, iterative updating is carried out according to the formula, and the carbon intensity result of each iterative updating is used as the initial carbon intensity of the next iterative updating.
And S140, when the iteration ending condition is met, determining the updated carbon intensity as the target carbon intensity of each power station.
The iteration ending condition is that the error between the target carbon intensity of the transformer substation determined by the iteration and the target carbon intensity of the transformer substation obtained by the previous iteration is smaller than a set threshold or the iteration number reaches a set value.
In this embodiment, the number of iterations may be a value preset in advance, for example, may be iterated 20 times. The threshold may be a preset threshold, and if the error between the target carbon intensities of all the substations determined in the current iteration and the target carbon intensity of the substation obtained in the last iteration is smaller than the set threshold or the iteration number reaches the set value, the iteration is ended.
The embodiment of the disclosure provides a method for updating electric power carbon intensity, which comprises the following steps: acquiring a carbon flow relation of a target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power of the input power station to the output power station; the power station comprises a power station and a transformer substation; grouping the carbon flow relations to obtain at least one carbon flow relation group; wherein the carbon flow relation group comprises at least one carbon flow relation; iteratively updating the carbon intensity of the transformer substation according to at least one carbon flow relation group; and when the iteration end condition is met, determining the updated carbon intensity as the target carbon intensity of the transformer substation. By utilizing the method, the data are processed to form a basic data structure of topological graph modeling, and the high-efficiency calculation of the carbon emission factor of the power grid is realized by carrying out grouping parallel calculation on the carbon flow relation. The embodiment of the disclosure is particularly suitable for the condition of more power stations, and compared with the condition that a high-dimensional matrix inversion method is used, the method can greatly save the requirement on calculation power.
Example two
Fig. 3 is a schematic structural diagram of an apparatus for updating electric power carbon intensity according to an embodiment of the present invention, where, as shown in fig. 3, the apparatus includes: a data acquisition module 210, a grouping module 220, an iterative update module 230, and a target carbon intensity determination module 240.
A data acquisition module 210, configured to acquire a carbon flow relationship of a target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power from the input power station to the output power station; the power station comprises a power station and a transformer substation;
a grouping module 220, configured to group the carbon flow relationships to obtain at least one carbon flow relationship group; wherein the carbon flow relation group comprises at least one carbon flow relation;
an iteration update module 230, configured to iteratively update the carbon intensity of the substation according to the at least one carbon flow relation group;
and the target carbon intensity determining module 240 is configured to determine the updated carbon intensity as the target carbon intensity of the substation when the iteration end condition is satisfied.
According to the technical scheme provided by the embodiment of the disclosure, the data are processed by the method, a basic data structure of topological graph modeling is formed, and the high-efficiency calculation of the carbon emission factor of the power grid is realized by grouping parallel calculation of the carbon flow relation.
Further, the grouping module 220 may include:
an ID acquisition unit configured to acquire an ID of each power station;
a grouping number determining unit, configured to determine a grouping number according to the carbon flow relationship;
And a grouping unit, configured to group the carbon flow relationships based on the ID and the number of groups, and obtain at least one carbon flow relationship group.
Further, the grouping unit may be configured to:
determining the number of the carbon flow relation group according to the grouping number;
determining the number of the carbon flow relation according to the ID, the set large prime number and the grouping number;
comparing the number of the carbon flow relation with the number of the carbon flow relation group;
and dividing the carbon flow relation into carbon flow relation groups with consistent numbers to obtain at least one carbon flow relation group.
Further, the data acquisition module 210 may be configured to:
the scheduling data acquisition unit is used for acquiring power grid scheduling data of the target area in a certain time period; the power grid dispatching data comprise power station basic data and alternating current line segment data; the plant basis data includes carbon intensity; the alternating current line segment data comprises an output power station, an input power station and active power;
and the carbon flow relation extracting unit is used for extracting the carbon flow relation from the power grid dispatching data.
Further, the scheduling data acquisition unit may be configured to:
taking the carbon intensity in the power station basic data as initial carbon intensity;
And determining the active power from the input power station to the output power station according to the alternating current line segment data.
Further, the iterative update module 230 may be configured to:
the carbon flow relation acquisition unit is used for acquiring at least one carbon flow relation corresponding to the current transformer substation serving as an output power station from the carbon flow relation group for the current transformer substation;
and the carbon intensity updating unit is used for updating the carbon intensity of the current power station according to the initial carbon intensity of the at least one carbon flow relation and the active power.
Further, the carbon intensity updating unit may be configured to:
updating the carbon intensity of the output power station according to the initial carbon intensity of the at least one input power station and the active power, wherein the updating is calculated according to the following formula:
wherein, CD tk For the updated carbon intensity, CD of the current transformer substation fk_i For the carbon intensity before the update of the input power station corresponding to the ith carbon flow relation, n is the number of the carbon flow relations and P i And the active power from the input power station to the output power station corresponding to the ith carbon flow relation.
Further, the target carbon intensity determination module 240 may be configured to:
and the iteration ending condition is that the error between the target carbon intensity of the transformer substation determined by the iteration and the target carbon intensity of the transformer substation obtained by the previous iteration is smaller than a set threshold or the iteration number reaches a set value.
The device can execute the method provided by all the embodiments of the invention, and has the corresponding functional modules and beneficial effects of executing the method. Technical details not described in detail in this embodiment can be found in the methods provided in all the foregoing embodiments of the invention.
Example III
Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the method of updating the electrical carbon intensity.
In some embodiments, the method of updating the power carbon intensity may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the above-described method of updating power carbon intensity may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method of updating the power carbon intensity in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (18)
1. A method for updating the strength of electrical carbon, comprising:
acquiring a carbon flow relation of a target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power from the input power station to the output power station; the power station comprises a power station and a transformer substation;
grouping the carbon flow relations to obtain at least one carbon flow relation group; wherein the carbon flow relation group comprises at least one carbon flow relation;
Iteratively updating the carbon intensity of the transformer substation according to the at least one carbon flow relation group;
and when the iteration end condition is met, determining the updated carbon intensity as the target carbon intensity of the transformer substation.
2. The method of claim 1, wherein grouping the carbon flow relationships to obtain at least one carbon flow relationship group comprises:
acquiring the ID of each power station;
determining the grouping number according to the carbon flow relation;
grouping the carbon flow relationships based on the ID and the number of groupings to obtain at least one carbon flow relationship group.
3. The method of claim 2, wherein grouping the carbon flow relationships based on the ID and the number of groupings to obtain at least one carbon flow relationship group comprises:
determining the number of the carbon flow relation group according to the grouping number;
determining the number of the carbon flow relation according to the ID, the set large prime number and the grouping number;
comparing the number of the carbon flow relation with the number of the carbon flow relation group;
and dividing the carbon flow relation into carbon flow relation groups with consistent numbers to obtain at least one carbon flow relation group.
4. The method of claim 1, wherein obtaining the carbon flow relationship for the target region comprises:
Acquiring power grid dispatching data of a target area in a certain time period; the power grid dispatching data comprise power station basic data and alternating current line segment data; the plant basis data includes carbon intensity; the alternating current line segment data comprises an output power station, an input power station and active power;
and extracting the carbon flow relation from the power grid dispatching data.
5. The method of claim 4, wherein extracting the carbon flow relationship from the grid schedule data comprises:
taking the carbon intensity in the power station basic data as initial carbon intensity;
and determining the active power from the input power station to the output power station according to the alternating current line segment data.
6. The method of claim 2, wherein iteratively updating the carbon strength of the substation according to the at least one carbon flow relationship set comprises:
for the current transformer substation, acquiring at least one carbon flow relation corresponding to the current transformer substation serving as an output power station from the carbon flow relation group;
updating the carbon intensity of the current power station according to the initial carbon intensity and the active power of the at least one carbon flow relation.
7. The method of claim 6, updating the carbon intensity of the current plant based on the initial carbon intensity and the active power of the at least one carbon flow relationship is calculated according to the following formula:
Wherein, CD tk For the updated carbon intensity, CD of the current transformer substation fk_i For the carbon intensity before the update of the input power station corresponding to the ith carbon flow relation, n is the number of the carbon flow relations and P i And the active power from the input power station to the output power station corresponding to the ith carbon flow relation.
8. The method according to claim 1, wherein the iteration end condition is that an error between the target carbon intensity of the substation determined in the current iteration and the target carbon intensity of the substation obtained in the last iteration is smaller than a set threshold or the iteration number reaches a set value.
9. An apparatus for updating electric power carbon intensity, comprising:
the data acquisition module is used for acquiring the carbon flow relation of the target area; wherein the carbon flow relationship comprises initial carbon intensity of the input power station and the output power station and active power from the input power station to the output power station; the power station comprises a power station and a transformer substation;
the grouping module is used for grouping the carbon flow relations to obtain at least one carbon flow relation group; wherein the carbon flow relation group comprises at least one carbon flow relation;
the iterative updating module is used for iteratively updating the carbon intensity of the transformer substation according to the at least one carbon flow relation group;
And the target carbon intensity determining module is used for determining the updated carbon intensity as the target carbon intensity of the transformer substation when the iteration ending condition is met.
10. The apparatus of claim 9, wherein the grouping module is further configured to:
an ID acquisition unit configured to acquire an ID of each power station;
a grouping number determining unit, configured to determine a grouping number according to the carbon flow relationship;
and a grouping unit, configured to group the carbon flow relationships based on the ID and the number of groups, and obtain at least one carbon flow relationship group.
11. The apparatus of claim 10, wherein the grouping unit is further configured to:
determining the number of the carbon flow relation group according to the grouping number;
determining the number of the carbon flow relation according to the ID, the set large prime number and the grouping number;
comparing the number of the carbon flow relation with the number of the carbon flow relation group;
and dividing the carbon flow relation into carbon flow relation groups with consistent numbers to obtain at least one carbon flow relation group.
12. The apparatus of claim 9, wherein the data acquisition module is further configured to:
the scheduling data acquisition unit is used for acquiring power grid scheduling data of the target area in a certain time period; the power grid dispatching data comprise power station basic data and alternating current line segment data; the plant basis data includes carbon intensity; the alternating current line segment data comprises an output power station, an input power station and active power;
And the carbon flow relation extracting unit is used for extracting the carbon flow relation from the power grid dispatching data.
13. The apparatus of claim 12, wherein the schedule data acquisition unit is further configured to:
taking the carbon intensity in the power station basic data as initial carbon intensity;
and determining the active power from the input power station to the output power station according to the alternating current line segment data.
14. The apparatus of claim 9, wherein the iterative update module is further configured to:
the carbon flow relation acquisition unit is used for acquiring at least one carbon flow relation corresponding to the current transformer substation serving as an output power station from the carbon flow relation group for the current transformer substation;
and the carbon intensity updating unit is used for updating the carbon intensity of the current power station according to the initial carbon intensity of the at least one carbon flow relation and the active power.
15. The apparatus of claim 14, wherein the carbon flow relationship acquisition unit is further configured to:
wherein, CD tk For the updated carbon intensity, CD of the current transformer substation fk_i For the carbon intensity before the update of the input power station corresponding to the ith carbon flow relation, n is the number of the carbon flow relations and P i And the active power from the input power station to the output power station corresponding to the ith carbon flow relation.
16. The apparatus of claim 9, wherein the iteration end condition is that an error between the target carbon intensity of the substation determined in the current iteration and the target carbon intensity of the substation obtained in the last iteration is smaller than a set threshold or the number of iterations reaches a set value.
17. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of updating electrical carbon intensity of any one of claims 1-8.
18. A computer readable storage medium storing computer instructions for causing a processor to perform the method of updating the electrical carbon intensity of any one of claims 1-8.
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