A carbon emission accounting method, device, equipment, medium and product

Abstract

The present application discloses a carbon emission accounting method, device, equipment, medium and product, which relates to the field of power carbon emission accounting. The method includes: obtaining information data; the information data includes: the purchased electric energy of the superior power grid obtained by the data monitoring system, the consumption power of distributed power sources, the charging power of energy storage devices, the remaining power of energy storage devices, the remaining carbon amount of energy storage devices, and the charge and discharge status of energy storage devices; determining the carbon emission factor of the energy storage device according to the charge and discharge status of the energy storage device; determining the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device; and determining the carbon emission amount according to the microgrid carbon emission factor. The purpose of the present application is to effectively analyze the carbon emission situation of the microgrid, conduct scientific carbon emission accounting for the microgrid, facilitate the targeted formulation of emission reduction strategies, and contribute to reducing and controlling carbon emissions.

Description

Technical Field

[0001] The present application relates to the field of power carbon emission accounting, and particularly to a carbon emission accounting method, device, equipment, medium and product. Background Art

[0002] At present, more and more enterprise parks adopt a microgrid structure. The microgrid mainly consists of distributed power sources, energy storage devices, electrical loads, monitoring, protection and automation devices, etc. It is a small power supply network that can basically achieve internal power and electricity balance. Its carbon emission calculation is an important work foundation for creating a low-carbon or even zero-carbon small power network.

[0003] Most of the existing studies only consider the carbon emissions of power generation enterprises and provincial power grids, without considering the carbon emissions of microgrids and the calculation of their carbon emission factors, and there are problems in many aspects such as measurement accuracy, spatio-temporal difference, and multi-energy complexity. Summary of the Invention

[0004] The purpose of the present application is to provide a carbon emission accounting method, device, equipment, medium and product, which can effectively analyze the carbon emission situation of the microgrid, conduct scientific carbon emission accounting for the microgrid, facilitate the targeted formulation of emission reduction strategies, and contribute to reducing and controlling carbon emissions.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] In a first aspect, the present application provides a carbon emission accounting method, which is applied to a microgrid system; the microgrid system includes: a distributed power source, an energy storage device, and a data monitoring system; the carbon emission accounting method includes:

[0007] Obtain information data; the information data includes: the purchased electric energy of the superior power grid obtained by the data monitoring system, the consumption power of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon amount of the energy storage device, and the charge and discharge state of the energy storage device;

[0008] Determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device;

[0009] Determine the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device;

[0010] Determine the carbon emission amount according to the microgrid carbon emission factor.

[0011] Optionally, determining the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device specifically includes:

[0012] When the energy storage device is in the charging state, the energy storage device acts as a load device, and the internal electric quantity and carbon flow accumulate over time. The calculation formula for the corresponding carbon emission factor is as follows:

[0013] ;

[0014] Wherein, is the carbon emission factor corresponding to the end node of the (t + N)-th time period; is the remaining carbon amount of the energy storage device corresponding to the end node of the t-th time period; is the increment of the time period serial number; t is the time period serial number; is the number of time periods in the continuous charging state; is the charging power of the energy storage device in the (t + i)-th time period; is the microgrid carbon emission factor corresponding to the end node of the (t + i)-th time period; is the unit time period; is the remaining electric quantity of the energy storage device corresponding to the end node of the t-th time period; is the discharge efficiency of the energy storage device.

[0015] Optionally, according to the charge and discharge state of the energy storage device, the carbon emission factor of the energy storage device is determined, specifically including:

[0016] When the energy storage device is in the discharge state, the energy storage device acts as a power source. At this time, the carbon emission factor of the energy storage device is the carbon emission factor at the end of the previous charge.

[0017] Optionally, according to the information data and the carbon emission factor of the energy storage device, the microgrid carbon emission factor is determined, specifically including:

[0018] According to the carbon emission factor of the energy storage device, the real-time carbon factor curve of the microgrid is determined;

[0019] According to the real-time carbon factor curve of the microgrid and the information data, the microgrid carbon emission factor is determined.

[0020] Optionally, the calculation formula for the microgrid carbon emission factor is as follows:

[0021] ;

[0022] Wherein, is the microgrid carbon emission factor; is the purchased electric energy from the superior power grid; is the regional carbon emission factor; is the charge and discharge state of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the consumption power of the distributed power source.

[0023] Optionally, the carbon emission is determined according to the carbon emission factor of the microgrid, specifically including:

[0024] ;

[0025] wherein, is the carbon emission of the nth user in the microgrid during the tth period; is the carbon emission factor of the microgrid; is the power consumption of the nth user in the microgrid during the tth period; is the unit period.

[0026] In a second aspect, the present application provides a carbon emission accounting device, including:

[0027] An information data acquisition module, configured to acquire information data; the information data includes: the purchased electric energy of the superior power grid acquired by the data monitoring system, the absorbed power of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon amount of the energy storage device, and the charge and discharge state of the energy storage device;

[0028] A carbon emission factor determination module, configured to determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device;

[0029] A microgrid carbon emission factor determination module, configured to determine the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device;

[0030] A carbon emission determination module, configured to determine the carbon emission according to the microgrid carbon emission factor.

[0031] In a third aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the carbon emission accounting method described above.

[0032] In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the carbon emission accounting method described above is implemented.

[0033] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, the carbon emission accounting method described above is implemented.

[0034] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0035] The present application provides a carbon emission accounting method, device, equipment, medium and product, which determines the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device; determines the carbon emission factor of the microgrid according to the information data and the carbon emission factor of the energy storage device; and determines the carbon emission amount according to the carbon emission factor of the microgrid. The present application takes into account the distributed power sources and energy storage devices in the microgrid, can effectively analyze the carbon emissions of the microgrid, and conducts scientific carbon emission accounting for the microgrid, which facilitates the targeted proposal of emission reduction strategies and helps to reduce and control carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 A flowchart of the carbon emission accounting method;

[0038] Figure 2 This is a schematic diagram of the park microgrid architecture;

[0039] Figure 3 It is the algorithm flow chart corresponding to the carbon emission accounting method in practical application;

[0040] Figure 4 This is a schematic diagram of the steady-state power flow distribution of the IEEE 5-machine 14-bus system;

[0041] Figure 5 It is a schematic diagram of the power curve;

[0042] Figure 6 This is a schematic diagram of the time-varying carbon factor curve of the microgrid;

[0043] Figure 7 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0045] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0046] In an exemplary embodiment, as Figure 1 shown, a carbon emission accounting method is provided. This method is executed by a computer device, specifically, it can be executed alone by a computer device such as a terminal or a server, or jointly executed by a terminal and a server. In the embodiments of the present application, taking the application of this method to a server as an example for illustration, it includes the following steps.

[0047] The carbon emission accounting method mentioned in the present application is applied to a microgrid system; the microgrid system includes: distributed power sources, energy storage devices, and a data monitoring system.

[0048] As Figure 1 shown, the carbon emission accounting method includes:

[0049] Step 100: Obtain information data. The information data includes: the purchased electric energy of the superior power grid obtained by the data monitoring system, the consumption power of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon amount of the energy storage device, and the charge and discharge state of the energy storage device.

[0050] Step 200: Determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device.

[0051] Step 300: Determine the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device.

[0052] Step 400: Determine the carbon emission amount according to the microgrid carbon emission factor.

[0053] As an optional implementation manner, determining the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device specifically includes:

[0054] When the energy storage device is in the charging state, the energy storage device acts as a load device, and the internal electric quantity and carbon flow accumulate over time. The calculation formula for the corresponding carbon emission factor is:

[0055] .

[0056] Wherein, is the carbon emission factor corresponding to the end node of the (t + N)-th time period; is the remaining carbon amount of the energy storage device corresponding to the end node of the t-th time period; is the increment value of the time period serial number; t is the time period serial number; is the number of time periods in the continuous charging state; is the charging power of the energy storage device in the (t + i)-th time period; is the microgrid carbon emission factor corresponding to the end node of the (t + i)-th time period; is the unit time period; is the remaining power of the energy storage device corresponding to the end node of the t-th period; is the discharge efficiency of the energy storage device.

[0057] When the energy storage device is in the discharge state, the energy storage device acts as a power source, and at this time, the carbon emission factor of the energy storage device is the carbon emission factor at the end of the previous charge.

[0058] In one embodiment, the microgrid carbon emission factor is determined according to the information data and the carbon emission factor of the energy storage device, specifically including: determining the microgrid real-time carbon factor curve according to the carbon emission factor of the energy storage device; determining the microgrid carbon emission factor according to the microgrid real-time carbon factor curve and the information data.

[0059] The calculation formula of the microgrid carbon emission factor is:

[0060] .

[0061] Among them, is the microgrid carbon emission factor; is the purchased electric energy from the superior power grid; is the regional carbon emission factor; is the charge and discharge state of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the consumption power of the distributed power source.

[0062] Determining the carbon emission amount according to the microgrid carbon emission factor, specifically including:

[0063] .

[0064] Among them, is the carbon emission amount of the n-th user in the microgrid in the t-th period; is the microgrid carbon emission factor; is the power consumption of the n-th user in the microgrid in the t-th period; is the unit period.

[0065] In practical applications, the specific operation steps of the method mentioned in this application can also be as follows.

[0066] As Figure 3 shown, first, the power department calculates the regional carbon emission factor (the regional carbon emission factor is at the provincial or municipal level, and the update cycle is relatively long, usually annual / monthly) by using the carbon metering method of the power system based on the carbon emission flow theory, and uses it as the carbon emission factor for the superior power grid to inject electric energy into the microgrid system. The microgrid data monitoring system (the microgrid carbon emission factor is at the township or park level, and the update cycle is hourly or minute-level) transmits data.

[0067] Secondly, at the start node of each unit time period Δt, obtain the purchased electric energy of the superior power grid in the microgrid data monitoring system , the consumption power of the distributed power source is , the charging power of the energy storage device , the remaining power of the energy storage device corresponding to the end node of the t-th time period , the remaining carbon amount of the energy storage device corresponding to the end node of the t-th time period and the charge-discharge state of the energy storage device (charging: SW = 0; discharging: SW = 1).

[0068] Then, calculate the carbon emission factor of the energy storage device. When the energy storage device is charging, it can be regarded as a load device, and the electric energy and carbon flow inside it accumulate over time. The expression of the carbon emission factor is:

[0069] .

[0070] Among them, is the carbon emission factor corresponding to the end node of the (t + N)-th time period; is the remaining carbon amount of the energy storage device corresponding to the end node of the t-th time period; is the increment of the time period number; t is the time period number; is the number of time periods in the continuous charging state; is the charging power of the energy storage device in the (t + i)-th time period; is the microgrid carbon emission factor corresponding to the end node of the (t + i)-th time period; is the unit time period; is the remaining power of the energy storage device corresponding to the end node of the t-th time period; is the discharge efficiency of the energy storage device.

[0071] When the energy storage device is discharging, it can be regarded as a power source, and the carbon emission factor at this time is the carbon emission factor at the end of the previous charging.

[0072] Finally, calculate the real-time carbon factor curve of the microgrid. According to the data obtained from the microgrid data monitoring center, the calculation formula of the microgrid carbon emission factor is:

[0073] .

[0074] Among them, is the microgrid carbon emission factor; is the purchased electric energy of the superior power grid; is the regional carbon emission factor; is the charge-discharge state of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the absorption power of the distributed power source.

[0075] The carbon emission factor of the microgrid determines the carbon emissions, specifically including:

[0076] ;

[0077] Among them, is the carbon emission of the nth user in the microgrid at the tth time period; is the carbon emission factor of the microgrid; is the power consumption of the nth user in the microgrid at the tth time period; is the unit time period.

[0078] The essence of this application is a calculation method for carbon emission factors considering local decentralized distributed power sources and energy storage devices, which is applicable to scientific carbon emission accounting of microgrids. The schematic diagram of the microgrid architecture of a certain park is as Figure 2 shown. Taking the IEEE14 node model as an example, considering the network loss in the power transmission and distribution process, the Newton-Raphson algorithm in polar coordinates is used to calculate the system power flow distribution. The output of each unit, user load, and system steady-state active power flow distribution in the system are as Figure 4 shown, Figure 4 All the numerical values with decimal points in

[0079] are active powers, with the unit of MW. Given all the carbon emission intensity vectors of the generating units (unit: gCO2 / (kW·h)). Set G1 as a coal-fired unit with a relatively high carbon emission intensity; G2 and G4 as gas-fired units with a relatively low carbon emission intensity; G3 and G5 as distributed wind power and hydropower units with a carbon emission intensity of 0. The power generation carbon emission factor vector

[0080] .

[0081] Among them, is the transpose.

[0082] The nodal active power flux and nodal carbon potential of 14 nodes are calculated and shown in Table 1 Nodal Active Power Flux and Nodal Carbon Potential. The nodal carbon potential in Table 1 is the regional carbon emission factor of the load connected to this nodal bus.

[0083]

[0084] Select the microgrid connected to the busbar outlet of node 13 as the analysis object. From Table 1, it can be obtained that the carbon emission factor of the superior grid of this microgrid is 0.69219 kgCO2 / (kW·h), the maximum input power of the superior grid is 13.5 MW, the new energy is set to two types: photovoltaic and wind power generation, both of which are connected to the busbar for grid connection, and the rated power generation powers are 4.5 MW and 8 MW respectively. In addition, a 4 MW energy storage device is equipped. The set time interval is 1 h.

[0085] The 24-hour load, new energy, superior grid, and 24-hour power curves of the energy storage device of the used embodiment are as Figure 5 shown. According to the microgrid carbon emission factor calculation method proposed by the present invention, the time-varying carbon factor curve of the microgrid is obtained as Figure 6 shown. Relevant departments can adjust the electricity consumption behavior of users according to the time-varying carbon emission factor curve, and scientifically and effectively control and reduce carbon emissions.

[0086] In summary, the method provided by this application can effectively analyze the carbon emission situation of the microgrid, conduct scientific carbon emission accounting for the microgrid, facilitate the targeted formulation of emission reduction strategies, and contribute to reducing and controlling carbon emissions.

[0087] Through the carbon metering method of the power system based on the carbon emission flow theory, this application can obtain the regional carbon emission factor, which reflects the spatio-temporal difference characteristics of carbon emissions to a certain extent.

[0088] This application considers the distributed power sources and energy storage devices in the microgrid and obtains an accurate carbon metering method for microgrid users.

[0089] This application adjusts the electricity consumption behavior of users according to the time-varying carbon emission factor curve, can scientifically and effectively control and reduce carbon emissions, and provides a data basis for the policy formulation of relevant departments.

[0090] Based on the same inventive concept, the embodiments of this application also provide a carbon emission accounting device for implementing the above-mentioned carbon emission accounting method. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the carbon emission accounting device provided below can refer to the limitations on the carbon emission accounting method in the above text, and will not be repeated here.

[0091] In an exemplary embodiment, a carbon emission accounting device is provided, including:

[0092] An information data acquisition module, configured to acquire information data; the information data includes: the purchased electric energy of the superior grid acquired by the data monitoring system, the absorbed power of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon amount of the energy storage device, and the charge and discharge state of the energy storage device.

[0093] A carbon emission factor determination module, configured to determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device.

[0094] A microgrid carbon emission factor determination module, configured to determine the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device.

[0095] A carbon emission amount determination module, configured to determine the carbon emission amount according to the microgrid carbon emission factor.

[0096] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal, and its internal structure diagram may be as Figure 7 shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store carbon emission accounting data. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals through a network connection. When the computer program is executed by the processor, it implements a carbon emission accounting method.

[0097] Those skilled in the art can understand that Figure 7 the structure shown in

[0098] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, which when executed by a processor implements the steps in the above method embodiments.

[0099] In an exemplary embodiment, a computer program product is provided, including a computer program, which when executed by a processor implements the steps in the above method embodiments.

[0100] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0101] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memories. Non-volatile memories can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memories can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0102] The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0103] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this specification.

[0104] In this article, specific examples are used to elaborate on the principles and implementation manners of the present application. The description of the above embodiments is only used to help understand the method and its core idea of the present application. At the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A carbon emission accounting method, characterized in that: The carbon emission accounting method is applied to a microgrid system; The microgrid system includes: a distributed power source, an energy storage device and a data monitoring system; the carbon emission accounting method includes: Acquiring information data; the information data includes: the purchased electric energy of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon amount of the energy storage device, and the charging and discharging status of the energy storage device acquired by the data monitoring system; Determine the carbon emission factor of the energy storage device according to the charging and discharging state of the energy storage device; Determine the carbon emission factor of the microgrid based on the information data and the carbon emission factor of the energy storage device; Determine carbon emissions based on the microgrid carbon emission factor; According to the charging and discharging status of the energy storage device, the carbon emission factor of the energy storage device is determined, including: When the energy storage device is in a charging state, the energy storage device acts as a load device, and the internal electricity and carbon flow accumulate over time. The corresponding carbon emission factor is calculated as follows: ； in, is the carbon emission factor corresponding to the end node of the t+Nth period; is the remaining carbon amount of the energy storage device corresponding to the end node of the tth period; is the increment value of the time period serial number; t is the time period serial number; The number of time periods in continuous charging state; is the charging power of the energy storage device in the t+ith period; is the carbon emission factor of the microgrid corresponding to the node at the end of the t+ith period; is the unit time period; is the remaining power of the energy storage device corresponding to the node at the end of the tth period; is the discharge efficiency of the energy storage device; According to the charging and discharging status of the energy storage device, the carbon emission factor of the energy storage device is determined, including: When the energy storage device is in a discharging state, the energy storage device acts as a power source, and the carbon emission factor of the energy storage device is the carbon emission factor at the end of the last charge; Determining the carbon emission factor of the microgrid according to the information data and the carbon emission factor of the energy storage device specifically includes: According to the carbon emission factor of the energy storage device, determine the real-time carbon factor curve of the microgrid; The carbon emission factor of the microgrid is determined according to the real-time carbon factor curve of the microgrid and the information data.

2. The carbon emission accounting method according to claim 1, characterized in that: The calculation formula of the microgrid carbon emission factor is: ； in, is the carbon emission factor of the microgrid; To purchase electricity from the upper grid; is the regional carbon emission factor; is the charge and discharge status of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the power consumption of distributed power generation.

3. The carbon emission accounting method according to claim 1, characterized in that: Carbon emissions are determined based on the microgrid carbon emission factor, including: ； in, is the carbon emission of the nth user in the microgrid in the tth period; is the carbon emission factor of the microgrid; is the power consumption of the nth user in the microgrid in the tth period; The unit time period.

4. A carbon emission accounting device, characterized in that: The carbon emission accounting device is implemented by the carbon emission accounting method according to any one of claims 1 to 3; the carbon emission accounting device comprises: An information data acquisition module is used to acquire information data; the information data includes: the purchased electric energy of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon content of the energy storage device, and the charging and discharging status of the energy storage device acquired by the data monitoring system; A carbon emission factor determination module, used to determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device; A microgrid carbon emission factor determination module, used to determine the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device; The carbon emission determination module is used to determine the carbon emission according to the carbon emission factor of the microgrid.

5. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the carbon emission accounting method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the carbon emission accounting method according to any one of claims 1 to 3 is implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the carbon emission accounting method according to any one of claims 1 to 3 is implemented.

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