CN115015474A - Method and device for detecting carbon emission of power consumer - Google Patents

Method and device for detecting carbon emission of power consumer Download PDF

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CN115015474A
CN115015474A CN202210402190.4A CN202210402190A CN115015474A CN 115015474 A CN115015474 A CN 115015474A CN 202210402190 A CN202210402190 A CN 202210402190A CN 115015474 A CN115015474 A CN 115015474A
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user side
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招景明
黄家嘉
潘峰
杨雨瑶
党三磊
张捷
危阜胜
吴敏
杨劲锋
许卓
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Guangdong Power Grid Co Ltd
Measurement Center of Guangdong Power Grid Co Ltd
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Abstract

The application discloses a method and equipment for detecting carbon emission of a power consumer, wherein the method comprises the steps of obtaining real-time net generating power and the number of electric energy pulses of a user side in a target period, determining an average carbon emission factor of the user side in the target period according to the real-time net generating power by using a preset carbon emission factor model so as to consider the influence of a self-owned distributed power supply of the user on carbon emission and determine the average carbon emission factor of the user side at the same time, so that the condition that a low-voltage distribution network has no real-time load flow calculation is avoided, and the detection difficulty of the carbon emission of the user side of the low-voltage distribution network is reduced; and finally, generating the first carbon emission of the user side in a target period according to the average carbon emission factor and the number of electric energy pulses, so as to realize the detection of the carbon emission of the user side, avoid ultra-large-scale data calculation by taking a certain period as a calculation unit, and further reduce the detection difficulty.

Description

Method and device for detecting carbon emission of power consumer
Technical Field
The present application relates to the field of carbon emission technologies, and in particular, to a method, an apparatus, a device, and a storage medium for detecting a carbon emission amount of a power consumer.
Background
With the advance of new energy and photovoltaic engineering, the permeability of distributed power generation at the user side is greatly increased, so that the detection difficulty of carbon emission at the user side is improved. The detection of the carbon emission on the user side is an important basis for energy conservation and carbon reduction of users and an important basis for supporting carbon transaction and international trade, so that the detection and measurement of the carbon emission on the user side are urgently needed.
Currently, methods for detecting carbon emissions of power consumers can be classified into direct methods and indirect methods. The direct method measures and analyzes the carbon dioxide content through instruments such as a flowmeter, a laser interferometer and the like, and is only suitable for power plants. The indirect method mainly comprises a nuclear algorithm and a method based on power grid flow tracking. The nuclear algorithm is also only applicable to power plants by weighing and analyzing the composition of the coal to account for carbon emissions. The method based on the power grid flow tracking is based on a circuit theory, the contribution of each power generation node to other intermediate nodes or load nodes is calculated through the power grid flow, and the carbon emission factors of the intermediate nodes or the load nodes can be obtained by combining the carbon emission factors of the power plant.
However, the current method based on power grid flow tracking needs to know the real-time power and carbon emission factors of each power generation node, and as the permeability of the distributed power supply of the low-voltage distribution network is higher and higher, the real-time flow calculation does not exist, and it is difficult for the control center to accurately obtain the real-time power and the node carbon emission factors of each user distributed power supply. Therefore, the problem that the detection difficulty of the carbon emission on the current user side is high is solved.
Disclosure of Invention
The application provides a method and equipment for detecting carbon emission of a power consumer, which aim to solve the technical problem that the detection difficulty of the carbon emission of the current consumer side is high.
In order to solve the above technical problem, in a first aspect, the present application provides a method for detecting a carbon emission amount of a power consumer, including:
acquiring real-time net generating power and the number of electric energy pulses of electricity consumption of a user side in a target period;
determining an average carbon emission factor of a user side in a target period according to the real-time net generating power by using a preset carbon emission factor model;
and generating a first carbon emission amount of the user side in the target period according to the average carbon emission factor and the number of the electric energy pulses.
According to the method and the device, the real-time net generating power and the number of electric energy pulses of the user side in the target period are obtained, the average carbon emission factor of the user side in the target period is determined according to the real-time net generating power by using the preset carbon emission factor model, so that the influence of the own distributed power supply of the user on the detection of the carbon emission can be considered, the average carbon emission factor of the user side is determined at the same time, the condition that the low-voltage distribution network does not have real-time load flow calculation is avoided, and the detection difficulty of the carbon emission of the user side of the low-voltage distribution network is reduced; and finally, generating the first carbon emission of the user side in a target period according to the average carbon emission factor and the number of electric energy pulses, so as to realize the detection of the carbon emission of the user side, avoid ultra-large-scale data calculation by taking a certain period as a calculation unit, and further reduce the detection difficulty.
Preferably, the determining the average carbon emission factor of the user side in the target period according to the real-time net generated power by using the preset carbon emission factor model comprises:
obtaining active power and carbon emission factors of a power generation side in a target period;
generating a second carbon emission amount of the power generation side in a target period according to the active power and the carbon emission factor of the power generation side;
and generating an average carbon emission factor of the user side in the target period according to the second carbon emission, the active power and the real-time net generating power by using the carbon emission factor model.
Preferably, the expression of the carbon emission factor model is:
Figure BDA0003598417000000021
wherein, delta m T is the target period,
Figure BDA0003598417000000031
for the active power of the kth power plant,
Figure BDA0003598417000000032
is the carbon emission factor of the kth power plant,
Figure BDA0003598417000000033
is the active power of the i-th powered node,
Figure BDA0003598417000000034
the carbon emission factor for the ith powered node,
Figure BDA0003598417000000035
net generated real-time power for the jth user.
Preferably, if the total active power of the power generation side is greater than the total power consumption of the user side, the active power is transmitted upward through the target power receiving node, and the active power and the carbon emission factor of the target power receiving node are removed in the carbon emission factor model.
Preferably, the method further comprises the following steps of determining an average carbon emission factor of the user side in a target period according to the real-time net generating power by using a preset carbon emission factor model:
acquiring a power grid flow balance relation, wherein the power grid flow balance relation is used for representing a balance relation between power generation power and power utilization power in a power grid;
determining a power grid carbon emission balance relation based on the power grid flow balance relation, wherein the power grid carbon emission balance relation is used for representing the carbon emission balance relation between a power generation side and a user side;
and generating a carbon emission factor model based on the carbon emission balance relation of the power grid.
Preferably, the generating of the first carbon emission amount of the user side in the target period based on the average carbon emission factor and the number of pulses of the electric power includes:
calculating the average carbon emission factor and the number of electric energy pulses based on a preset carbon emission calculation function to generate a first carbon emission of a user side in a target period, wherein the expression of the carbon emission calculation function is as follows:
C m =W m δ m =kN m δ m
wherein, C m For the first carbon emission, W, in the mth target cycle on the customer side m For the net power consumption, delta, of the customer side in the m-th target period m For the average carbon emission factor of the user side in the mth target period, k is a proportionality coefficient, N m And the number of the electric energy pulses used in the mth target period is the user side.
Preferably, after generating the first carbon emission amount of the user side in the target period based on the average carbon emission factor and the number of pulses of the electric power, the method further includes:
and accumulating the first carbon emission of the user side in a plurality of target periods to obtain the total carbon emission of the user side.
In a second aspect, the present application provides a device for detecting carbon emissions from a power consumer, comprising:
the acquisition module is used for acquiring real-time net generating power and the number of electric energy pulses of electricity consumption in a target period at a user side;
the determining module is used for determining an average carbon emission factor of a user side in a target period according to the real-time net generating power by using a preset carbon emission factor model;
and the generation module is used for generating a first carbon emission amount of the user side in the target period according to the average carbon emission factor and the electric energy pulse number.
In a third aspect, the present application provides a computer device comprising a processor and a memory for storing a computer program, the computer program when executed by the processor implementing the method for detecting carbon emissions of a power consumer as in the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the method for detecting carbon emissions of a power consumer according to the first aspect.
Please refer to the relevant description of the first aspect for the beneficial effects of the second to fourth aspects, which are not repeated herein.
Drawings
Fig. 1 is a schematic flow chart illustrating a method for detecting carbon emissions of a power consumer according to an embodiment of the present application;
fig. 2 is a schematic diagram illustrating a connection relationship between a meter and a master station according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a power flow balancing relationship according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a carbon emission amount detection device for an electric power consumer according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As described in the related art, the current method based on power grid flow tracking needs to know the real-time power and carbon emission factors of each power generation node, and as the permeability of the distributed power supply of the low-voltage distribution network is higher and higher, the real-time flow calculation is not available, and it is difficult for the control center to accurately obtain the real-time power and the node carbon emission factors of the distributed power supply of each user. Therefore, the problem that the detection difficulty of the carbon emission on the current user side is high is solved.
Therefore, the embodiment of the application provides a method for detecting carbon emission of a power consumer, which includes the steps of obtaining real-time net generating power and the number of electric energy pulses of a user side in a target period, determining an average carbon emission factor of the user side in the target period according to the real-time net generating power by using a preset carbon emission factor model, so that the influence of a self-owned distributed power supply of the user on carbon emission detection can be considered, and meanwhile, determining the average carbon emission factor of the user side is ensured, so that the condition that a low-voltage distribution network has no real-time load flow calculation is avoided, and the detection difficulty of the carbon emission of the user side of the low-voltage distribution network is reduced; and finally, generating a first carbon emission of the user side in the target period according to the average carbon emission factor and the number of the electric energy pulses, so as to realize the carbon emission detection of the user side, avoid ultra-large-scale data calculation by taking a certain period as a calculation unit, and further reduce the detection difficulty.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for detecting carbon emission of a power consumer according to an embodiment of the present disclosure. The method for detecting the carbon emission of the power consumer can be applied to computer equipment, and the computer equipment comprises equipment such as but not limited to a power consumer carbon emission meter, a smart phone, a notebook computer, a tablet computer, a desktop computer, a physical server and a cloud server. The computer equipment is in communication connection with a multi-stage main station, and the main station is used for collecting and storing parameters (such as real-time net generated electric power and active power of a power plant) collected by the metering equipment or a subordinate main station and reporting related parameters to the subordinate main station.
Illustratively, the computer device takes a power consumer carbon emission meter (hereinafter referred to as meter) as an example, and fig. 2 shows a schematic connection relationship between the meter and the master station. As shown in fig. 2, the meter mainly realizes the detection function based on the main control chip, the electric energy metering chip circuit and the carbon emission metering module, and the other components are used for assisting the realization of the functions of the main control chip, the electric energy metering chip circuit and the carbon emission metering module. For example, the detection functions may include: acquiring relevant parameters of a user side in a target area from a master station through a master control chip and a communication circuit; and calculating and displaying the real-time carbon emission by using the real-time average carbon emission factor and the electric energy determined by the electric energy metering chip circuit.
As shown in fig. 1, the method for detecting carbon emission of power consumers of the present embodiment includes steps S101 to S103, which are detailed as follows:
step S101, acquiring real-time net generating power and the number of electric energy pulses of electricity consumption of a user side in a target period.
In this step, the real-time net generated power is the electric power generated by an autonomous distributed power source at the user side, such as a solar panel installed in the user's home; the number of the electric energy pulses is the number of the user pulses on the user side; the target period may be a period in which the meter updates the carbon emission factor, for example, the power system performs power flow calculation in a 96-day period in actual operation (i.e., one period every 15 min), and the target period is 15 min.
Optionally, since the power scheduling center generally does not know the real-time power of the autonomous distributed power source at the user side, when there is new energy net power generation, the power scheduling center reports data to the upper-level master station, and the data is gathered by the master stations at all levels and then goes up to the scheduling center in the target geographic area, so that the real-time net power generation power at the user side needs to be acquired through the meter and the multiple master stations. The number of the electric energy pulses can be calculated by an electric energy metering chip circuit.
And S102, determining an average carbon emission factor of the user side in the target period according to the real-time net generating power by using a preset carbon emission factor model.
In this step, the carbon emission factor model is a functional model for calculating an average carbon emission factor on the user side. The carbon emission factor is a parameter for characterizing the intensity of carbon emission on the user side. Since carbon consumption is energy consumption × carbon emission factor, an average carbon emission factor can be calculated by detecting total power generation carbon consumption and total user energy consumption in a target geographical area, wherein the real-time net power generation power can calculate energy consumption related to the autonomous distributed power source in the total user energy consumption.
Optionally, the carbon emission factor model is determined using a grid-flow balance relationship in combination with the carbon emission factor.
And step S103, generating a first carbon emission amount of the user side in the target period according to the average carbon emission factor and the number of electric energy pulses.
In this step, the user electrical energy pulse number is used to calculate the actual energy consumption, i.e. the net power consumption, on the user side, and the carbon consumption is equal to the energy consumption × carbon emission factor, so as to obtain the first carbon emission on the user side.
Optionally, the average carbon emission factor and the number of pulses of the electric energy are calculated based on a preset carbon emission calculation function to generate a first carbon emission of the user side in the target period, where the carbon emission calculation function has an expression:
C m =W m δ m =kN m δ m
wherein, C m For a first carbon emission, W, of the user side in the mth of the target period m For the net power consumption, delta, of the customer side in the mth target period m For the average carbon emission factor of the user side in the mth target period, k is a proportionality coefficient, N m For the userAnd the number of the electric energy pulses used in the mth target period.
In this alternative embodiment, the number of pulses of electric energy is output to the main control chip by the electric energy metering chip circuit, and is read from the main control chip by the carbon emission metering module. The embodiment can more accurately represent the actual energy consumption of the user side by using the number of the electric energy pulses so as to improve the detection accuracy of the carbon emission.
In an embodiment, based on the embodiment shown in fig. 1, the step S102 includes:
obtaining active power and carbon emission factors of a power generation side in the target period;
generating a second carbon emission amount of the power generation side in a target period according to the active power and the carbon emission factor of the power generation side;
and generating an average carbon emission factor of the user side in the target period according to the second carbon emission amount, the active power and the real-time net generated power by using the carbon emission factor model.
In the present embodiment, the active power includes a generated power of a power plant in the power generation side and a received power of the power receiving node. For the power distribution network with lower voltage grade, the power is received from the superior power grid, and the carbon emission factor of the received power is obtained by the tidal current tracking of the superior local power grid and is transmitted to the local dispatching center by the superior dispatching center. The new energy power supply in the target geographic area is usually a distributed power supply, and the local dispatching center does not master the real-time power of the new energy power supply, so that the real-time net generated power (with the load of the user deducted) is obtained by reporting through a meter of a user carbon emission metering system and a multi-stage main station. Meanwhile, the low-voltage distribution network does not usually perform real-time load flow calculation, so that real-time carbon emission factors of all nodes are difficult to obtain. Therefore, the embodiment calculates the carbon emission according to the real-time average carbon emission factor for the local-city (or district-county) regional power grid.
Optionally, the expression of the carbon emission factor model is:
Figure BDA0003598417000000071
wherein, delta m Is the average carbon emission factor, T is the target period,
Figure BDA0003598417000000072
for the active power of the kth power plant,
Figure BDA0003598417000000073
is the carbon emission factor of the kth power plant,
Figure BDA0003598417000000074
is the active power of the i-th powered node,
Figure BDA0003598417000000075
the carbon emission factor for the ith powered node,
Figure BDA0003598417000000076
real-time net generated electrical power for said jth user.
In addition, the active power of the carbon emission factor model is a value of a previous cycle of the carbon emission factor update time measured by the meter. And after the latest average carbon emission factor is calculated by the carbon emission factor model, updating the average carbon emission factor of the target geographical area in the target period so as to facilitate the real-time detection of the carbon emission by the user carbon emission meter.
Optionally, if the total active power of the power generation side is greater than the total power consumption power of the user side, the active power is transmitted upwards through a target powered node, and in the carbon emission factor model, the active power and the carbon emission factor of the target powered node are removed.
In this optional embodiment, if the total generated power (i.e., the total active power) is greater than the total load (i.e., the total power consumption) in the power grid of the target geographic area, when the power is transmitted to the upper power grid (e.g., the island power grid with a smaller load) through a certain power receiving node, the power transmitted to the upper power grid is equivalent to external power receiving, and the power needs to be transmitted according to δ m And the magnitude of the reverse power, and calculating the carbon emission factor of the power receiving node participating in the superior power grid, so for the regional power grid, the relevant parameters of the power receiving node of the reverse power need to be removed from the Re set of the carbon emission factor model at this time, so as to ensure the detection accuracy.
In an embodiment, on the basis of the embodiment shown in fig. 1, before the step S102, the method further includes:
acquiring a power grid flow balance relation, wherein the power grid flow balance relation is used for representing a balance relation between power generation power and power consumption power in a power grid;
determining a power grid carbon emission balance relation based on the power grid flow balance relation, wherein the power grid carbon emission balance relation is used for representing a carbon emission balance relation between a power generation side and a user side;
and generating the carbon emission factor model based on the power grid carbon emission balance relation.
In this embodiment, fig. 3 is a schematic diagram of a power flow balancing relationship of a power grid. For any voltage class power grid, the power flow balance relationship can be represented by the following formula:
Figure BDA0003598417000000081
further, combining the carbon emission factor to obtain an expression of the carbon emission balance relation of the power grid:
Figure BDA0003598417000000082
the system comprises a power station set, a new energy station set (a carbon metering system master station set for a low-voltage distribution network), a power receiving node set, a load node set and an outward sending node set, wherein the Sg, the Rg, the Re, the Lo and the Se are respectively a power plant node set, the new energy station set, the power receiving node set, the load node set and the outward sending node set;
Figure BDA0003598417000000083
respectively the kth power plant, the jth new energy station (carbon metering system main station), the ith power receiving node and the xth power receiving nodeReal-time active power of the load node and the y-th egress node,
Figure BDA0003598417000000091
the carbon emission intensity of the kth power plant, the ith power receiving node, the xth load node and the yth delivery node respectively; p is ll And C ll Total grid loss and total carbon emissions, respectively.
In an embodiment, on the basis of the embodiment shown in fig. 1, after the step S104, the method further includes:
and accumulating the first carbon emission of the user side in a plurality of target periods to obtain the total carbon emission of the user side.
In the present embodiment, in actual use, the meter accumulates the total carbon emission at the start of use and displays the carbon emission on the LCD display screen. The expression for the total carbon emission is:
Figure BDA0003598417000000092
and n is the current carbon emission factor updating period.
In order to implement the method for detecting the carbon emission of the power consumer corresponding to the method embodiment, corresponding functions and technical effects are achieved. Referring to fig. 4, fig. 4 is a block diagram illustrating a structure of a carbon emission amount detection apparatus for an electric power consumer according to an embodiment of the present disclosure. For convenience of explanation, only the parts related to the present embodiment are shown, and the carbon emission amount detection device for an electric power consumer according to the embodiment of the present application includes:
the acquisition module 401 is configured to acquire real-time net generated power and electric energy pulse number of a user side in a target period;
a determining module 402, configured to determine an average carbon emission factor of the user side in the target period according to the real-time net generated power by using a preset carbon emission factor model;
a generating module 403, configured to generate a first carbon emission amount of the user side in the target period according to the average carbon emission factor and the number of pulses of the electric energy.
In an embodiment, based on the embodiment shown in fig. 4, the determining module 402 includes:
the obtaining unit is used for obtaining active power and carbon emission factors of a power generation side in the target period;
a first generation unit, configured to generate a second carbon emission amount of the power generation side in a target period according to the active power and the carbon emission factor of the power generation side;
a second generating unit, configured to generate, by using the carbon emission factor model, an average carbon emission factor of the user side in the target period according to the second carbon emission amount, the active power, and the real-time net generated power.
Optionally, the expression of the carbon emission factor model is:
Figure BDA0003598417000000101
wherein, delta m Is the average carbon emission factor, T is the target period,
Figure BDA0003598417000000102
for the active power of the kth power plant,
Figure BDA0003598417000000103
is the carbon emission factor of the kth power plant,
Figure BDA0003598417000000104
is the active power of the i-th powered node,
Figure BDA0003598417000000105
the carbon emission factor for the ith powered node,
Figure BDA0003598417000000106
real-time net generated electrical power for said jth user.
Optionally, if the total active power of the power generation side is greater than the total power consumption of the user side, the active power is transmitted upwards through a target power receiving node, and the active power and the carbon emission factor of the target power receiving node are removed in the carbon emission factor model.
In an embodiment, based on the embodiment shown in fig. 4, the detection apparatus further includes:
the second acquisition module is used for acquiring a power grid flow balance relation, and the power grid flow balance relation is used for representing a balance relation between power generation power and power utilization power in the power grid;
the second determination module is used for determining a power grid carbon emission balance relation based on the power grid flow balance relation, and the power grid carbon emission balance relation is used for representing the carbon emission balance relation between the power generation side and the user side;
and the third generation module is used for generating the carbon emission factor model based on the carbon emission balance relation of the power grid.
In an embodiment, on the basis of the embodiment shown in fig. 4, the generating module 403 is specifically configured to:
calculating the average carbon emission factor and the number of the electric energy pulses based on a preset carbon emission calculation function to generate a first carbon emission of the user side in the target period, wherein the expression of the carbon emission calculation function is as follows:
C m =W m δ m =kN m δ m
wherein, C m For the first carbon emission, W, of the user side in the mth target cycle m For the net power consumption, delta, of the customer side in the mth target period m For the average carbon emission factor of the user side in the mth target period, k is a proportionality coefficient, N m And the number of the electric energy pulses used by the user side in the mth target period is obtained.
In an embodiment, on the basis of the embodiment shown in fig. 4, the detection apparatus further includes:
and the accumulation module is used for accumulating the first carbon emission of the user side in a plurality of target periods to obtain the total carbon emission of the user side.
The carbon emission amount detection device of the electricity consumer can implement the carbon emission amount detection method of the electricity consumer of the method embodiment. The alternatives in the above-described method embodiments are also applicable to this embodiment and will not be described in detail here. The rest of the embodiments of the present application may refer to the contents of the above method embodiments, and in this embodiment, details are not described again.
Fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present application. As shown in fig. 5, the computer device 5 of this embodiment includes: at least one processor 50 (only one shown in fig. 5), a memory 51, and a computer program 52 stored in the memory 51 and executable on the at least one processor 50, the processor 50 implementing the steps of any of the above-described method embodiments when executing the computer program 52.
The computer device 5 may be a computing device such as a smart phone, a tablet computer, a desktop computer, and a cloud server. The computer device may include, but is not limited to, a processor 50, a memory 51. Those skilled in the art will appreciate that fig. 5 is merely an example of the computer device 5 and does not constitute a limitation of the computer device 5, and may include more or less components than those shown, or combine some of the components, or different components, such as input output devices, network access devices, etc.
The processor 50 may be a Central Processing Unit (CPU), and the processor 50 may be other general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may in some embodiments be an internal storage unit of the computer device 5, such as a hard disk or a memory of the computer device 5. The memory 51 may also be an external storage device of the computer device 5 in other embodiments, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the computer device 5. The memory 51 is used for storing an operating system, an application program, a BootLoader (BootLoader), data, and other programs, such as program codes of the computer programs. The memory 51 may also be used to temporarily store data that has been output or is to be output.
In addition, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in any of the method embodiments described above.
The embodiments of the present application provide a computer program product, which when executed on a computer device, enables the computer device to implement the steps in the above method embodiments.
In several embodiments provided herein, it will be understood that each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, or portions thereof, which substantially or partly contribute to the prior art, may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a terminal device to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are further detailed to explain the objects, technical solutions and advantages of the present application, and it should be understood that the above-mentioned embodiments are only examples of the present application and are not intended to limit the scope of the present application. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the present application, may occur to those skilled in the art and are intended to be included within the scope of the present application.

Claims (10)

1. A method for detecting carbon emission of a power consumer, comprising:
acquiring real-time net generating power and the number of electric energy pulses of electricity consumption in a target period at a user side;
determining an average carbon emission factor of the user side in the target period according to the real-time net generated power by using a preset carbon emission factor model;
and generating a first carbon emission amount of the user side in the target period according to the average carbon emission factor and the number of the electric energy pulses.
2. The method for detecting carbon emission of an electric power consumer as claimed in claim 1, wherein the determining the average carbon emission factor of the consumer side in the target period according to the real-time net generating power by using a preset carbon emission factor model comprises:
obtaining active power and carbon emission factors of a power generation side in the target period;
generating a second carbon emission amount of the power generation side in a target period according to the active power and the carbon emission factor of the power generation side;
and generating an average carbon emission factor of the user side in the target period according to the second carbon emission amount, the active power and the real-time net generated power by using the carbon emission factor model.
3. The method of detecting carbon emissions of an electric power consumer as claimed in claim 2, wherein the expression of the carbon emission factor model is:
Figure FDA0003598416990000011
wherein, delta m Is the average carbon emission factor, T is the target period,
Figure FDA0003598416990000012
for the active power of the kth power plant,
Figure FDA0003598416990000013
is the carbon emission factor of the kth power plant,
Figure FDA0003598416990000014
is the active power of the i-th powered node,
Figure FDA0003598416990000015
the carbon emission factor for the ith powered node,
Figure FDA0003598416990000016
the real-time net generated power for the jth user.
4. The method according to claim 3, wherein if the total active power of the power generation side is greater than the total power consumption of the user side, the active power is transmitted upward through a target power receiving node, and the active power and the carbon emission factor of the target power receiving node are removed in the carbon emission factor model.
5. The method for detecting carbon emission of an electric power consumer as claimed in claim 1, wherein the determining the average carbon emission factor of the consumer side in the target period according to the real-time net generated power by using a preset carbon emission factor model further comprises:
acquiring a power grid flow balance relation, wherein the power grid flow balance relation is used for representing a balance relation between power generation power and power utilization power in a power grid;
determining a power grid carbon emission balance relation based on the power grid flow balance relation, wherein the power grid carbon emission balance relation is used for representing a carbon emission balance relation between a power generation side and a user side;
and generating the carbon emission factor model based on the power grid carbon emission balance relation.
6. The method for detecting carbon emissions of an electric power consumer according to claim 1, wherein the generating a first carbon emission of the consumer side in the target period based on the average carbon emission factor and the number of pulses of the electric power consumption comprises:
calculating the average carbon emission factor and the number of the electric energy pulses based on a preset carbon emission calculation function to generate a first carbon emission of the user side in the target period, wherein the expression of the carbon emission calculation function is as follows:
C m =W m δ m =kN m δ m
wherein, C m For a first carbon emission, W, of the user side in the mth of the target period m For the net power consumption, delta, of the customer side in the mth target period m For the average carbon emission factor of the user side in the mth target period, k is a proportionality coefficient, N m Is the user sideThe number of pulses of the electric energy used in the mth target period.
7. The method for detecting carbon emissions of an electric power consumer according to claim 1, wherein, after generating the first carbon emissions of the consumer side in the target period based on the average carbon emission factor and the number of pulses of the electric power, the method further comprises:
and accumulating the first carbon emission of the user side in a plurality of target periods to obtain the total carbon emission of the user side.
8. An apparatus for detecting a carbon emission amount of an electric power consumer, comprising:
the acquisition module is used for acquiring real-time net generating power and the number of electric energy pulses of electricity consumption of a user side in a target period;
a determining module, configured to determine an average carbon emission factor of the user side in the target period according to the real-time net generated power by using a preset carbon emission factor model;
and the generating module is used for generating a first carbon emission amount of the user side in the target period according to the average carbon emission factor and the number of the electric energy pulses.
9. A computer device comprising a processor and a memory for storing a computer program which, when executed by the processor, implements the method of detecting carbon emissions of a power consumer according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processor, implements the method of detecting carbon emissions of an electric power consumer according to any one of claims 1 to 7.
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