Power system carbon emission time sequence simulation method and device considering energy storage carbon storage characteristics

Abstract

The invention discloses a power system carbon emission time sequence simulation method and device considering energy storage carbon storage characteristics. The method comprises the following steps: acquiring a time-interval calculation result and energy storage data of time sequence production simulation of a power system; based on the energy storage data and a pre-constructed energy storage unit carbon emission storage model, calculating a total carbon emission amount and an electrical carbon factor of each energy storage unit; and according to the total carbon emission amount and the electric carbon factor of each energy storage unit, correcting the time-interval time sequence carbon emission data of the power system to obtain the corrected time-interval time sequence carbon emission data and the corrected electric carbon factor of the power system.

Description

Technical Field

[0001] This invention relates to the field of novel power system carbon emission time-series simulation technology, and more specifically, to a power system carbon emission time-series simulation method and apparatus that takes into account the carbon storage characteristics of energy storage. Background Technology

[0002] Current calculations of carbon emissions and carbon factor in the power industry are mostly based on the direct carbon emissions from coal-fired and gas-fired power generation. They do not fully account for the time-related transfer of carbon emissions brought about by peak shaving and valley filling by energy storage systems, nor do they consider the direct carbon emission changes brought about by the interaction characteristics of power generation, grid, load and storage. They do not reflect the time-series characteristics of carbon emissions in the power system and are difficult to guide the production and consumption of clean electricity. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a method and apparatus for time-series simulation of carbon emissions from power systems that takes into account the carbon storage characteristics of energy storage.

[0004] According to one aspect of the present invention, a time-series simulation method for carbon emissions from a power system considering the carbon storage characteristics of energy storage is provided, comprising:

[0005] Obtain time-by-time calculation results and energy storage data from the power system time-series production simulation;

[0006] Based on energy storage data and a pre-built carbon emission storage model for energy storage units, the total carbon emissions and electrical carbon factor of each energy storage unit are calculated.

[0007] The time-series carbon emission data of the power system are corrected by adjusting the total carbon emissions of each energy storage unit and the electrical carbon factor, resulting in the corrected time-series carbon emission data and electrical carbon factor of the power system.

[0008] Optionally, the time-series production simulation results include the time-series output of each of the I coal-fired power units. The time-series output of each of the J gas-powered units Coal consumption of thermal power units under different output conditions System load P per time period LOAD (t), the input timing output of each of the K interconnects in the system. and its electrocarbon factor The time-period charging and discharging power of each of the L energy storage units Energy storage data includes capacity information of energy storage units. Charging efficiency Discharge efficiency System self-loss rate α l .

[0009] Optionally, the expression for the carbon emission storage model of the energy storage unit is:

[0010]

[0011] in, Δt represents the input and output of the energy during the charging and discharging process of the l-th energy storage unit in time period t; Δt is the duration of time period t. The energy loss of the l-th energy storage unit during time period t is due to energy storage self-loss. This represents the state of charge of the l-th energy storage unit at the end of time period t-1. This represents the state of charge at the end of time period t0, which is the initial state of the l-th energy storage unit.

[0012] Optionally, the calculation expressions for total carbon emissions and the electrical carbon factor are as follows:

[0013]

[0014] in, Let be the total carbon emissions at the end of time t within the l-th energy storage unit. EF' represents the total carbon emissions at the end of the initial time t0 of the l-th energy storage unit; G (i) is the modified electric carbon factor that does not consider the carbon storage characteristics of energy storage at time i; The electrical carbon factor at the end of time period i-1 for the l-th energy storage unit. t0 represents the carbon factor at the end of the time period of the l-th energy storage unit.

[0015] Optionally, the correction expression for the time-series carbon emission data of the power system is as follows:

[0016]

[0017]

[0018] In the formula, E G (t) represents the total direct carbon emissions from the power system at the end of time t; E' G (t) represents the total carbon emissions of the power system at time t, considering the carbon storage characteristics of energy storage. EF' G (t) is the corrected electric carbon factor at time t, taking into account the energy storage carbon storage characteristics.

[0019] According to another aspect of the present invention, a time-series simulation device for carbon emissions from a power system considering the carbon storage characteristics of energy storage is provided, comprising:

[0020] The acquisition module is used to acquire time-by-time calculation results of power system time-series production simulation and energy storage data;

[0021] The calculation module is used to calculate the total carbon emissions and electrical carbon factor of each energy storage unit based on energy storage data and a pre-built carbon emission storage model of the energy storage unit.

[0022] The correction module is used to correct the time-series carbon emission data of the power system based on the total carbon emissions of each energy storage unit and the electrical carbon factor, so as to obtain the corrected time-series carbon emission data and electrical carbon factor of the power system.

[0023] According to another aspect of the present invention, a computer-readable storage medium is provided, the storage medium storing a computer program for performing the methods described in any of the above aspects of the present invention.

[0024] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising: a processor; a memory for storing executable instructions of the processor; the processor being configured to read the executable instructions from the memory and execute the instructions to implement the method described in any of the preceding aspects of the present invention.

[0025] Therefore, this invention constructs a carbon storage model for energy storage units, realizing state-coupled carbon responsibility based on "charge / discharge quantity - carbon emissions". It pioneers a three-state carbon responsibility allocation mechanism for charging (load), discharging (power source), and static (self-damage) states, clarifying the carbon emission flow and allocation principles of energy storage units under different operating conditions. Simultaneously, it introduces a virtual carbon storage time-series electrical carbon factor. This method reflects the changes in total carbon emissions and carbon intensity of a virtual carbon storage system in real time. A time-series carbon emission simulation method considering the characteristics of energy storage carbon storage is constructed, clarifying and refining the temporal changes in indirect carbon emissions from the power system, improving the power system's electrical carbon factor system, and achieving a refined allocation of carbon emission responsibility for the power system. Attached Figure Description

[0026] Exemplary embodiments of the present invention can be more fully understood by referring to the following figures:

[0027] Figure 1 This is a flowchart illustrating a time-series simulation method for carbon emissions from a power system that considers the carbon storage characteristics of energy storage, provided by an exemplary embodiment of the present invention.

[0028] Figure 2 This is a schematic diagram of typical curves for thermal power, load, and receiving tie line provided in an exemplary embodiment of the present invention;

[0029] Figure 3 This is a schematic diagram of typical charge and discharge power curves of various energy storage devices provided in an exemplary embodiment of the present invention;

[0030] Figure 4 This is a schematic diagram of a carbon storage model for an energy storage unit provided in an exemplary embodiment of the present invention;

[0031] Figure 5This is a schematic diagram of the total carbon emissions stored in each energy storage unit according to an exemplary embodiment of the present invention;

[0032] Figure 6 This is a schematic diagram of the carbon factor of the stored electricity in each energy storage unit provided in an exemplary embodiment of the present invention;

[0033] Figure 7 This is a schematic diagram of system time-series carbon emissions before and after considering the carbon storage characteristics of energy storage, provided by an exemplary embodiment of the present invention;

[0034] Figure 8 This is a schematic diagram of system time-series carbon emissions before and after considering the carbon storage characteristics of energy storage, provided by an exemplary embodiment of the present invention;

[0035] Figure 9 This is a schematic diagram of the structure of a power system carbon emission time-series simulation device that considers the carbon storage characteristics of energy storage, provided in an exemplary embodiment of the present invention;

[0036] Figure 10 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. Detailed Implementation

[0037] Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments of the present invention. It should be understood that the present invention is not limited to the exemplary embodiments described herein.

[0038] It should be noted that, unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention.

[0039] Those skilled in the art will understand that the terms "first," "second," etc., in the embodiments of the present invention are only used to distinguish different steps, devices, or modules, and do not represent any specific technical meaning, nor do they indicate a necessary logical order between them.

[0040] It should also be understood that in the embodiments of the present invention, "multiple" can refer to two or more, and "at least one" can refer to one, two or more.

[0041] It should also be understood that any component, data or structure mentioned in the embodiments of the present invention can generally be understood as one or more unless explicitly defined or given contrary instructions in the context.

[0042] Furthermore, the term "and / or" in this invention is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this invention generally indicates that the preceding and following related objects have an "or" relationship.

[0043] It should also be understood that the description of the various embodiments in this invention emphasizes the differences between the various embodiments, and the similarities or similarities can be referred to each other. For the sake of brevity, they will not be described in detail.

[0044] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0045] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the invention or its application or use.

[0046] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, they should be considered part of the specification.

[0047] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0048] The embodiments of this invention can be applied to electronic devices such as terminal devices, computer systems, and servers, and can operate together with a wide range of other general-purpose or special-purpose computing system environments or configurations. Well-known examples of terminal devices, computing systems, environments, and / or configurations suitable for use with electronic devices such as terminal devices, computer systems, and servers include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments including any of the above systems, etc.

[0049] Electronic devices such as terminal devices, computer systems, and servers can be described in the general context of computer system executable instructions (such as program modules) executed by a computer system. Typically, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. Computer systems / servers can be implemented in distributed cloud computing environments, where tasks are executed by remote processing devices linked through communication networks. In distributed cloud computing environments, program modules can reside on local or remote computing system storage media, including storage devices.

[0050] Exemplary methods

[0051] Figure 1 This is a flowchart illustrating a time-series simulation method for carbon emissions from a power system that considers the carbon storage characteristics of energy storage, provided by an exemplary embodiment of the present invention. This embodiment can be applied to electronic devices, such as… Figure 1 As shown, the time-series simulation method 100 for carbon emissions from a power system considering the carbon storage characteristics of energy storage includes the following steps:

[0052] Step 101: Obtain the time-by-time calculation results of the power system time-series production simulation and energy storage data;

[0053] Step 102: Based on energy storage data and a pre-built carbon emission storage model for energy storage units, calculate the total carbon emissions and electrical carbon factor of each energy storage unit.

[0054] Step 103: Correct the time-series carbon emission data of the power system based on the total carbon emissions of each energy storage unit and the electrical carbon factor, and obtain the corrected time-series carbon emission data and electrical carbon factor of the power system.

[0055] Specifically, this invention proposes a carbon emission time-series simulation model that considers the carbon storage characteristics of energy storage units, clarifying the changes in carbon emission responsibility caused by peak shaving and valley filling due to energy storage, and revealing the blind spots in carbon emission time-series simulation. Traditional energy storage units only focus on energy throughput and lack the ability to dynamically track carbon emissions during the charging and discharging process of energy storage units. This method aims to establish a description of the carbon storage, release, and escape process during the charging and discharging of energy storage units, filling the gap in the "energy storage-carbon flow" coupling analysis. At the same time, through a virtual carbon storage mechanism, it provides a verifiable data foundation for energy storage to participate in carbon quota allocation and green electricity trading, supporting the construction and trading of carbon markets.

[0056] The specific steps are as follows:

[0057] Step 1: Obtain the time-by-time calculation results of the power system time-series production simulation, as well as the data required for the virtual carbon storage model of the energy storage unit. The time-by-time calculation results of the time-series production simulation include the time-by-time output of each of the I coal-fired power units. The time-series output of each of the J gas-powered units Coal consumption of thermal power units under different output conditions System load P per time period LOAD (t), the input timing output of each of the K interconnects in the system. and its electrocarbon factor The time-period charging and discharging power of each of the L energy storage units (Energy storage discharge is positive); Energy storage data, including capacity information of energy storage units. Charge and discharge efficiency System self-loss rate α l .

[0058] Specifically, for ease of calculation, we take I = J = K = 1, L = 3, and the power curves of thermal power, load, and receiving tie line are as follows: Figure 2 Typical charge / discharge power curves for various energy storage devices are shown below. Figure 3 The carbon factor for coal-fired power and gas-fired power is taken as 9.86 tCO2 / (10,000 kWh) and 4.29 tCO2 / (10,000 kWh), respectively. Considering the connection line as a new energy source, the carbon factor is taken as 0 tCO2 / (10,000 kWh).

[0059] Step 2: Construct a carbon emission storage model for energy storage units to clarify the changes in total carbon emissions and electrical carbon factor within the energy storage unit carbon storage model.

[0060] (1) Construct energy models for each energy storage unit, such as Figure 4 As shown, the key parameters of the model's input, output, and changes in energy and state of charge within the energy storage unit are clearly defined.

[0061]

[0062] in, Δt represents the input and output of the energy during the charging and discharging process of the l-th energy storage unit in time period t; Δt is the duration of time period t. The energy loss of the l-th energy storage unit during time period t is due to energy storage self-loss. This represents the state of charge of the l-th energy storage unit at the end of time period t. This represents the state of charge at the end of time period t0, which is the initial state of the l-th energy storage unit.

[0063] (2) Construct carbon storage models for each energy storage unit. Based on the changes in energy and state of charge within the energy storage unit, determine the total carbon emissions and electrocarbon factor of each energy storage unit.

[0064]

[0065] in, Let be the total carbon emissions at the end of time t within the l-th energy storage unit. This represents the total carbon emissions at the end of the initial time t0 for the l-th energy storage unit. The electrical carbon factor at the end of time period t for the l-th energy storage unit. t0 represents the carbon factor at the end of the time period of the l-th energy storage unit.

[0066] Specifically, based on Figure 2 and Figure 3 The settings and calculations of the total carbon emissions stored in each energy storage unit are as follows: Figure 5 As shown, the carbon factor of the stored electricity in each energy storage unit is as follows: Figure 6 As shown.

[0067] The third step is to revise the time-series carbon emission data of the power system based on the carbon storage model of each energy storage unit, and to explicitly consider the system carbon emission transfer brought about by the carbon storage characteristics of energy storage.

[0068]

[0069] Among them, E G (t) represents the total direct carbon emissions of the power system at the end of time t, E' G (t) represents the total carbon emissions of the power system at time t, considering the carbon storage characteristics of energy storage. EF' G (t) is the electric carbon factor of the power system at time t, taking into account the carbon storage characteristics of energy storage.

[0070] Specifically, based on Figure 2 and Figure 3 The settings take into account the system's time-series carbon emissions before and after the energy storage carbon storage characteristics, such as... Figure 7 As shown, the system's time-series carbon emissions before and after considering the carbon storage characteristics are as follows: Figure 8 As shown.

[0071] Therefore, this invention constructs a carbon storage model for energy storage units, realizing state-coupled carbon responsibility based on "charge / discharge quantity - carbon emissions". It pioneers a three-state carbon responsibility allocation mechanism for charging (load), discharging (power source), and static (self-damage) states, clarifying the carbon emission flow and allocation principles of energy storage units under different operating conditions. Simultaneously, it introduces a virtual carbon storage time-series electrical carbon factor. This method reflects the changes in total carbon emissions and carbon intensity of a virtual carbon storage system in real time. A time-series carbon emission simulation method considering the characteristics of energy storage carbon storage is constructed, clarifying and refining the temporal changes in indirect carbon emissions from the power system, improving the power system's electrical carbon factor system, and achieving a refined allocation of carbon emission responsibility for the power system.

[0072] Exemplary device

[0073] Figure 9This is a schematic diagram of the structure of a power system carbon emission time-series simulation device considering the carbon storage characteristics of energy storage, provided in an exemplary embodiment of the present invention. Figure 9 As shown, the device 900 includes:

[0074] The module 910 acquires the time-by-time calculation results of the power system time-series production simulation and energy storage data.

[0075] The calculation module 920 is used to calculate the total carbon emissions and electrical carbon factor of each energy storage unit based on energy storage data and a pre-built carbon emission storage model of the energy storage unit.

[0076] The correction module 930 is used to correct the time-series carbon emission data of the power system based on the total carbon emissions of each energy storage unit and the electrical carbon factor, so as to obtain the corrected time-series carbon emission data and electrical carbon factor of the power system.

[0077] Optionally, the time-series production simulation results include the time-series output of each of the I coal-fired power units. The time-series output of each of the J gas-powered units Coal consumption of thermal power units under different output conditions System load P per time period LOAD (t), the input timing output of each of the K interconnects in the system. and its electrocarbon factor The time-period charging and discharging power of each of the L energy storage units Energy storage data includes capacity information of energy storage units. Charging efficiency Discharge efficiency System self-loss rate α l .

[0078] Optionally, the expression for the carbon emission storage model of the energy storage unit is:

[0079]

[0080] in, Δt represents the input and output of the energy during the charging and discharging process of the l-th energy storage unit in time period t; Δt is the duration of time period t. The energy loss of the l-th energy storage unit during time period t is due to energy storage self-loss. This represents the state of charge of the l-th energy storage unit at the end of time period t-1. This represents the state of charge at the end of time period t0, which is the initial state of the l-th energy storage unit.

[0081] Optionally, the calculation expressions for total carbon emissions and the electrical carbon factor are as follows:

[0082]

[0083] in, Let be the total carbon emissions at the end of time t within the l-th energy storage unit. EF' represents the total carbon emissions at the end of the initial time t0 of the l-th energy storage unit; G (i) is the modified electric carbon factor that does not consider the carbon storage characteristics of energy storage at time i; The electrical carbon factor at the end of time period i-1 for the l-th energy storage unit. t0 represents the carbon factor at the end of the time period of the l-th energy storage unit.

[0084] Optionally, the correction expression for the time-series carbon emission data of the power system is as follows:

[0085]

[0086] In the formula, E G (t) represents the total direct carbon emissions from the power system at the end of time t; E' G (t) represents the total carbon emissions of the power system at time t, considering the carbon storage characteristics of energy storage. EF' G (t) is the corrected electric carbon factor at time t, taking into account the energy storage carbon storage characteristics.

[0087] Exemplary electronic devices

[0088] Figure 10 This is the structure of an electronic device provided in an exemplary embodiment of the present invention. For example... Figure 10 As shown, the electronic device 100 includes one or more processors 101 and memory 102.

[0089] The processor 101 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0090] The memory 102 may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 101 may execute the program instructions to implement the methods of the software programs of the various embodiments of the present invention described above, and / or other desired functions. In one example, the electronic device may also include an input device 103 and an output device 104, these components being interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0091] In addition, the input device 103 may also include, for example, a keyboard, a mouse, etc.

[0092] The output device 104 can output various information to the outside. The output device 104 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0093] Of course, for the sake of simplicity, Figure 10 Only some of the components of this electronic device relevant to the present invention are shown, omitting components such as buses, input / output interfaces, etc. In addition, the electronic device may include any other suitable components depending on the specific application.

[0094] Exemplary computer program products and computer-readable storage media

[0095] In addition to the methods and apparatus described above, embodiments of the present invention may also be computer program products, which include computer program instructions that, when executed by a processor, cause the processor to perform the steps in the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above.

[0096] The computer program product can be written in any combination of one or more programming languages ​​to perform the operations of the embodiments of the present invention. The programming languages ​​include object-oriented programming languages ​​such as Java and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0097] Furthermore, embodiments of the present invention may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps of the methods according to various embodiments of the present invention described in the "Exemplary Methods" section above.

[0098] The computer-readable storage medium may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0099] The basic principles of the present invention have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in the present invention are merely examples and not limitations, and should not be considered as essential features of each embodiment of the present invention. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not limit the present invention to the necessity of employing the aforementioned specific details.

[0100] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For system embodiments, since they largely correspond to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0101] The block diagrams of devices, systems, devices, and systems involved in this invention are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, systems, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0102] The methods and systems of the present invention may be implemented in many ways. For example, they may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order of steps for the methods is for illustrative purposes only, and the steps of the methods of the present invention are not limited to the order specifically described above unless otherwise specifically stated. Furthermore, in some embodiments, the present invention may also be implemented as a program recorded on a recording medium, the program comprising machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers recording media storing programs for performing the methods according to the present invention.

[0103] It should also be noted that in the systems, apparatus, and methods of the present invention, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered equivalents of the present invention. The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of the invention. Therefore, the invention is not intended to be limited to the aspects shown herein, but rather to be carried out within the widest scope consistent with the principles and novel features disclosed herein.

[0104] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the invention to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A time-series simulation method for carbon emissions from a power system considering the carbon storage characteristics of energy storage, characterized in that, include: Obtain time-by-time calculation results and energy storage data from the power system time-series production simulation; Based on the energy storage data and the pre-built carbon emission storage model of the energy storage unit, the total carbon emissions and electrical carbon factor of each energy storage unit are calculated. Based on the total carbon emissions of each energy storage unit and the electrical carbon factor, the time-series carbon emission data of the power system is corrected for each time period, resulting in the corrected time-series carbon emission data and electrical carbon factor of the power system.

2. The method according to claim 1, characterized in that, The time-series production simulation results include the time-series output of each of the I coal-fired power units. The time-series output of each of the J gas-powered units Coal consumption of thermal power units under different output conditions System load P per time period LOAD (t), the input timing output of each of the K interconnects in the system. and its electrocarbon factor The time-period charging and discharging power of each of the L energy storage units The energy storage data includes the capacity information of the energy storage units. Charging efficiency Discharge efficiency System self-loss rate α l .

3. The method according to claim 2, characterized in that, The expression for the carbon emission storage model of the energy storage unit is: in, Δt represents the input and output of the energy during the charging and discharging process of the l-th energy storage unit in time period t; Δt is the duration of time period t. The energy loss of the l-th energy storage unit during time period t is due to energy storage self-loss. This represents the state of charge of the l-th energy storage unit at the end of time period t-1. This represents the state of charge at the end of time period t0, which is the initial state of the l-th energy storage unit.

4. The method according to claim 3, characterized in that, The calculation formulas for the total carbon emissions and the electrical carbon factor are as follows: in, Let be the total carbon emissions at the end of time t within the l-th energy storage unit. EF' represents the total carbon emissions at the end of the initial time t0 of the l-th energy storage unit; G (i) is the modified electric carbon factor that does not consider the carbon storage characteristics of energy storage at time i; The electrical carbon factor at the end of time period i-1 for the l-th energy storage unit. t0 represents the carbon factor at the end of the time period of the l-th energy storage unit.

5. The method according to claim 4, characterized in that, The corrected expression for the time-series carbon emission data of the power system is: In the formula, E G (t) represents the total direct carbon emissions from the power system at the end of time t; E' G (t) represents the total carbon emissions of the power system at time t, considering the carbon storage characteristics of energy storage. EF' G (t) is the corrected electric carbon factor at time t, taking into account the energy storage carbon storage characteristics.

6. A time-series simulation device for carbon emissions from a power system considering the carbon storage characteristics of energy storage, characterized in that, include: The acquisition module is used to acquire time-by-time calculation results of power system time-series production simulation and energy storage data; The calculation module is used to calculate the total carbon emissions and electrical carbon factor of each energy storage unit based on the energy storage data and the pre-built carbon emission storage model of the energy storage unit. The correction module is used to correct the time-series carbon emission data of the power system based on the total carbon emissions of each energy storage unit and the electrical carbon factor, so as to obtain the corrected time-series carbon emission data and electrical carbon factor of the power system.

7. The apparatus according to claim 6, characterized in that, The time-series production simulation results include the time-series output of each of the I coal-fired power units. The time-series output of each of the J gas-powered units Coal consumption of thermal power units under different output conditions System load P per time period LOAD (t), the input timing output of each of the K interconnects in the system. and its electrocarbon factor The time-period charging and discharging power of each of the L energy storage units The energy storage data includes the capacity information of the energy storage units. Charging efficiency Discharge efficiency System self-loss rate α l .

8. The apparatus according to claim 7, characterized in that, The expression for the carbon emission storage model of the energy storage unit is: in, Δt represents the input and output of the energy during the charging and discharging process of the l-th energy storage unit in time period t; Δt is the duration of time period t. The energy loss of the l-th energy storage unit during time period t is due to energy storage self-loss. This represents the state of charge of the l-th energy storage unit at the end of time period t-1. This represents the state of charge at the end of time period t0, which is the initial state of the l-th energy storage unit.

9. The apparatus according to claim 8, characterized in that, The calculation formulas for the total carbon emissions and the electrical carbon factor are as follows: in, Let be the total carbon emissions at the end of time t within the l-th energy storage unit. EF' represents the total carbon emissions at the end of the initial time t0 of the l-th energy storage unit; G (i) is the modified electric carbon factor that does not consider the carbon storage characteristics of energy storage at time i; The electrical carbon factor at the end of time period i-1 for the l-th energy storage unit. t0 represents the carbon factor at the end of the time period of the l-th energy storage unit.

10. The apparatus according to claim 9, characterized in that, The corrected expression for the time-series carbon emission data of the power system is: In the formula, E G (t) represents the total direct carbon emissions from the power system at the end of time t; E' G (t) represents the total carbon emissions of the power system at time t, considering the carbon storage characteristics of energy storage. EF' G (t) is the corrected electric carbon factor at time t, taking into account the energy storage carbon storage characteristics.

11. A computer-readable storage medium, characterized in that, The storage medium stores a computer program for performing the method described in any one of claims 1-5.

12. An electronic device, characterized in that, The electronic device includes: processor; Memory used to store the processor's executable instructions; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method described in any one of claims 1-5.

Images