An energy scheduling method based on a carbon emission reduction superstructure model and related equipment

Abstract

This invention provides an energy dispatching method and related equipment based on a carbon emission reduction superstructure model. In response to an energy dispatching request, the method determines the energy information of the energy demand region and the target application scenario corresponding to the request. Based on the energy information of the energy demand region, it generates a carbon emission reduction superstructure initialization model and determines the objective function and constraints corresponding to the target application scenario. According to the target application scenario, objective function, and constraints, the carbon emission reduction superstructure initialization model of the energy demand region is optimized to obtain the carbon emission reduction superstructure model corresponding to the target application scenario. Energy dispatching is then performed on each energy demand region based on the energy allocation scheme included in the carbon emission reduction superstructure model. Applying the energy dispatching method based on the carbon emission reduction superstructure model provided by this invention enables accurate energy planning for energy demand regions, thereby achieving precise energy dispatching for these regions.

Description

Technical Field

[0001] This invention relates to the field of energy management technology, and in particular to an energy dispatching method and related equipment based on a carbon emission reduction superstructure model. Background Technology

[0002] Today, the greenhouse effect has become one of the major global challenges. Reducing carbon emissions and achieving "carbon peaking and carbon neutrality" as soon as possible have become important ways for countries to address global warming. my country has also actively joined the ranks of countries striving for "carbon peaking and carbon neutrality." Rational planning and scheduling of regional energy is an effective way to achieve energy conservation, emission reduction, and carbon reduction.

[0003] In existing technologies, carbon pinch analysis is commonly used to solve regional energy planning problems. However, when there are complex regional divisions and a large number of energy types, using carbon pinch analysis for regional energy planning makes it difficult to identify pinches through moving average curves, and it cannot take into account the impact of various demands and constraints on energy planning, resulting in the inability to perform regional energy dispatch in real time and accurately. Summary of the Invention

[0004] The technical problem to be solved by this invention is to provide an energy dispatching method based on a carbon emission reduction superstructure model, which can accurately perform regional energy dispatching.

[0005] The present invention also provides an energy dispatching device based on a carbon emission reduction superstructure model to ensure the implementation and application of the above method in practice.

[0006] An energy dispatching method based on a carbon emission reduction superstructure model includes:

[0007] In response to an energy dispatch request, determine the energy information and target application scenario of each energy demand area corresponding to the energy dispatch request; the energy information includes the carbon emission factor of each type of energy, the total energy quantity of each type of energy, the cost information of each type of energy, the energy demand of each energy demand area, and the carbon emission limit.

[0008] A carbon emission reduction superstructure initialization model is generated based on the energy information of each of the energy demand regions, and the objective function and constraints corresponding to the target application scenario are determined.

[0009] Based on the target application scenario, the objective function, and the constraints, the initialization model of the carbon emission reduction superstructure of the energy demand region is optimized to obtain the carbon emission reduction superstructure model corresponding to the target application scenario; the carbon emission reduction superstructure model includes the energy allocation scheme of each of the energy demand regions.

[0010] Energy scheduling is performed on each of the energy demand areas based on the energy allocation scheme.

[0011] Optionally, the energy allocation scheme of the above method includes the following information: the total energy quantity of various carbon-containing energy sources, the total energy quantity of various zero-carbon energy sources, the energy quantity of each type of energy supplied to each of the energy demand areas, the carbon emissions of each of the energy demand areas, and the remaining energy quantity and remaining carbon emissions after each type of energy is supplied to each energy demand area.

[0012] Optionally, the objective function of the above method includes at least one of zero-carbon energy consumption, carbon emissions, and energy costs.

[0013] Optionally, the constraints in the above method include at least one of the following: zero-carbon energy emission factor constraints, energy balance constraints, regional energy supply and demand balance constraints, total regional carbon emission limit constraints, and single regional carbon emission limit constraints.

[0014] The emission factor constraint for zero-carbon energy is: C0 = 0; C0 refers to the carbon emission factor of zero-carbon energy.

[0015] The energy balance constraint is as follows:

[0016] The regional energy supply and demand balance constraint is as follows:

[0017] The overall regional carbon emission limit constraints are as follows:

[0018] The carbon emission limits for a single region are as follows:

[0019] Where C0 refers to the carbon emission factor of zero-carbon energy, C i For energy type i, the carbon emission factor; F ij S refers to the amount of energy of type i supplied to energy demand region j; i U refers to the total energy quantity of energy of type i; j I refers to the energy demand of energy demand region j; I refers to the total number of energy types; J refers to the total number of energy demand regions; E ij Carbon emissions resulting from supplying type i energy to energy-demanding region j; E j R represents the carbon emission limit for energy demand region j; i The remaining energy after supplying all energy demand areas for type i.

[0020] Optionally, in the above method, determining the target application scenario corresponding to the energy dispatch request includes:

[0021] Obtain the scenario identifier included in the energy dispatch request;

[0022] Based on the scenario identifier, the target application scenario corresponding to the energy dispatch request is determined from a preset set of application scenarios. The set of application scenarios includes multiple application scenarios, and each application scenario includes at least one energy dispatch requirement.

[0023] Optionally, after obtaining the carbon emission reduction superstructure model corresponding to the target application scenario, the above method further includes:

[0024] The carbon emission reduction superstructure model corresponding to the target application scenario is displayed on the preset display interface.

[0025] An energy dispatching device based on a carbon emission reduction superstructure model includes:

[0026] The first determining unit is used to respond to an energy dispatch request and determine the energy information and target application scenario of each energy demand area corresponding to the energy dispatch request; the energy information includes the carbon emission factor of each type of energy, the total energy quantity of each type of energy, the cost information of each type of energy, the energy demand of each energy demand area, and the carbon emission limit.

[0027] The second determining unit is used to generate a carbon emission reduction superstructure initialization model based on the energy information of each energy demand region, and to determine the objective function and constraints corresponding to the target application scenario.

[0028] An execution unit is configured to optimize the initialization model of the carbon emission reduction superstructure of the energy demand region based on the target application scenario, the objective function, and the constraints, to obtain the carbon emission reduction superstructure model corresponding to the target application scenario; the carbon emission reduction superstructure model includes energy allocation schemes for each of the energy demand regions.

[0029] An energy dispatching unit is used to perform energy dispatching for each of the energy demand areas based on the energy allocation scheme.

[0030] The aforementioned apparatus may optionally further include:

[0031] The display unit is used to display the carbon emission reduction superstructure model corresponding to the target application scenario on a preset display interface.

[0032] A storage medium includes storage instructions, wherein, when the instructions are executed, the device in which the storage medium resides executes the energy scheduling method based on the carbon reduction superstructure model described above.

[0033] An electronic device includes a memory and one or more instructions, wherein one or more instructions are stored in the memory and configured to be executed by one or more processors as described above, using an energy scheduling method based on a carbon reduction superstructure model.

[0034] An energy dispatching method and apparatus based on a carbon emission reduction superstructure model provided by the above embodiments of the present invention can, in response to an energy dispatching request, determine the energy information of the energy demand area corresponding to the energy dispatching request and the target application scenario; the energy information includes the carbon emission factor of each type of energy, the total energy quantity of each type of energy, the cost information of each type of energy, the energy demand of each energy demand area, and the carbon emission limit; generate a carbon emission reduction superstructure initialization model based on the energy information of each energy demand area, and determine the objective function and constraints corresponding to the target application scenario; optimize the carbon emission reduction superstructure initialization model of the energy demand area according to the target application scenario, objective function, and constraints to obtain the carbon emission reduction superstructure model corresponding to the target application scenario; the carbon emission reduction superstructure model includes an energy allocation scheme for each energy demand area; and perform energy dispatching for each energy demand area based on the energy allocation scheme. Applying the energy dispatching method provided by the present invention, regional energy planning can be carried out considering various demands and constraints, and the energy allocation scheme for the energy demand area can be obtained quickly and accurately, thereby achieving precise energy dispatching for the energy demand area. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0036] Figure 1 A flowchart of an energy dispatching method based on a carbon emission reduction superstructure model provided by the present invention;

[0037] Figure 2 This is a schematic diagram of the universal carbon emission reduction superstructure model proposed in this invention;

[0038] Figure 3 A schematic diagram of an exemplary carbon reduction superstructure initialization model provided by the present invention;

[0039] Figure 4 A schematic diagram of a carbon emission reduction superstructure model for an energy dispatching scheme in an application scenario provided by the present invention;

[0040] Figure 5A schematic diagram of a carbon emission reduction superstructure model for an energy dispatching scheme in another application scenario provided by the present invention;

[0041] Figure 6 A schematic diagram of a carbon emission reduction superstructure model for an energy dispatching scheme in another application scenario provided by the present invention;

[0042] Figure 7 A schematic diagram of a carbon emission reduction superstructure model for an energy dispatching scheme in another application scenario provided by the present invention;

[0043] Figure 8 A schematic diagram of a carbon emission reduction superstructure model for an energy dispatching scheme in another application scenario provided by the present invention;

[0044] Figure 9 A schematic diagram of an energy dispatching device based on a carbon emission reduction superstructure model provided by the present invention;

[0045] Figure 10 This is a schematic diagram of the structure of an electronic device provided by the present invention. Detailed Implementation

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0047] This invention provides an energy dispatching method based on a carbon emission reduction superstructure model. This method can be applied to electronic devices, such as computer terminals or various mobile devices. The flowchart of the method is shown below. Figure 1 As shown, specifically including:

[0048] S101: In response to an energy dispatch request, determine the energy information and target application scenario of each energy demand area corresponding to the energy dispatch request; the energy information includes the carbon emission factor of each type of energy, the energy quantity of each type of energy, the cost information of each type of energy, the energy demand of each energy demand area, and the carbon emission limit.

[0049] In this embodiment, there can be one or more energy demand areas. The energy demand in the energy information can be the amount of energy required by the energy demand area. The carbon emission limit can be the emission limit of carbon dioxide. The energy quantity of each type of energy can be the available quantity of each type of energy. The various types of energy that can be supplied to the energy demand area can be carbon-containing energy such as coal, oil, and natural gas, and can also include various types of zero-carbon energy.

[0050] Optionally, energy information for energy demand areas can be obtained from a preset database.

[0051] Optionally, the target application scenario may include at least one energy dispatch demand information. For example, the energy dispatch demand information may be one of the following: (1) Determine the minimum amount of zero-carbon energy used based on the set total energy supply threshold and carbon emission limit; (2) Incorporate various types of zero-carbon energy in the energy demand area into the plan and control carbon emissions to the minimum; (3) In the case of multiple energy demand areas, determine the minimum amount of zero-carbon energy used based on the supply of various types of energy, the demand of various types of energy, and the carbon emission limit of each energy demand area; (4) Specify the use of target type of energy and the supply of target type of energy in a specific energy demand area to determine the minimum amount of zero-carbon energy used; (5) Meet the energy demand of the energy demand area in the lowest cost way.

[0052] S102: Generate a carbon emission reduction superstructure initialization model based on the energy information of each of the energy demand regions, and determine the objective function and constraints corresponding to the target application scenario.

[0053] In this embodiment, the target application scenario can be pre-set with corresponding objective functions and constraints, and the correspondence between the target application scenario and its corresponding objective functions and constraints can be recorded.

[0054] S103: Based on the target application scenario, the objective function, and the constraints, optimize the initialization model of the carbon emission reduction superstructure for the energy demand region to obtain the carbon emission reduction superstructure model corresponding to the target application scenario; the carbon emission reduction superstructure model includes the energy allocation scheme for each of the energy demand regions.

[0055] In this embodiment, energy can be supplied to energy-demanding areas according to an energy distribution plan, thereby enabling precise control over one or more of the above demands, such as carbon emissions, zero-carbon energy usage, and energy costs.

[0056] Optionally, a carbon emission reduction superstructure initialization model is first constructed based on energy information. Then, the carbon emission reduction superstructure initialization model is optimized according to the target application scenario, the objective function corresponding to the target application scenario, and the constraints, to obtain the carbon emission reduction superstructure model corresponding to the target application scenario. The carbon emission reduction superstructure includes specific information on the energy allocation scheme of the energy demand area, such as: the total energy amount of various carbon-containing energy sources, the total energy amount of various zero-carbon energy sources, the energy amount of each type of energy supplied to each of the energy demand areas, the carbon emissions of each of the energy demand areas, and the remaining energy amount and remaining carbon emissions after each type of energy is supplied to each of the energy demand areas.

[0057] S104: Energy scheduling is performed on each of the energy demand regions based on the energy allocation scheme included in the carbon emission reduction superstructure model.

[0058] In some embodiments, after constructing a carbon emission reduction superstructure model for an energy region, energy dispatching can be carried out on the energy demand region based on the energy allocation scheme characterized by the carbon emission reduction superstructure.

[0059] The energy dispatching method based on the carbon emission reduction superstructure model provided by this invention constructs a carbon emission reduction superstructure model of the energy demand area according to the objective function and constraints of the target application scenario. This allows for the determination of the energy allocation scheme for the energy demand area, taking into account various demands and constraints for regional energy planning. Furthermore, it enables the rapid and accurate acquisition of the energy allocation scheme for the energy demand area, thereby achieving precise energy dispatching.

[0060] In this embodiment of the invention, based on the above implementation process, optionally, the constraints include at least one of the following: zero-carbon energy emission factor constraints, energy balance constraints, regional energy supply and demand balance constraints, total regional carbon emission limit constraints, and single regional carbon emission limit constraints.

[0061] The emission factor constraint for zero-carbon energy is: C0 = 0; C0 refers to the carbon emission factor of zero-carbon energy.

[0062] The energy balance constraint is as follows:

[0063] The regional energy supply and demand balance constraint is as follows:

[0064] The overall regional carbon emission limit constraints are as follows:

[0065] The carbon emission limits for a single region are as follows:

[0066] Among them, C i Let C be the carbon emission factor for energy type i, where i = 0, 1, ..., I, and I represents the total number of energy types. i ≥0; C0 refers to the carbon emission factor of zero-carbon energy; F ij F refers to the amount of energy of type i supplied to energy demand region j, where j = 1, 2, ..., J, and J represents the total number of energy demand regions. ij ≥0; S i S refers to the total energy quantity of energy of type i. i ≥0; U j U refers to the energy demand of energy demand region j.j >0; E ij E represents the carbon emissions resulting from supplying type i energy to energy-demanding region j. ij ≥0; E j E represents the carbon emission limit for energy demand region j. j ≥0; R i R represents the energy surplus after supplying all energy demand areas of type i. i ≥0.

[0067] In this embodiment of the invention, based on the above implementation process, optionally, the objective function includes at least one of zero-carbon energy consumption, carbon emissions, and energy cost.

[0068] In this embodiment, the objective function may include the minimum amount of zero-carbon energy used, that is,

[0069] The objective function can include minimizing carbon emissions, i.e.,

[0070] The objective function can include the lowest energy cost, i.e., Where Yij is the unit energy cost of supplying energy i to region j.

[0071] It should be noted that, during implementation, the objective function can be set based on energy demand scheduling information;

[0072] For example, regarding the energy demand scheduling information mentioned above, (1) "Determine the minimum zero-carbon energy consumption based on the set total energy supply threshold and carbon emission limit"; the objective function can be set as follows:

[0073] Regarding the energy demand dispatch information mentioned above, (2) "Incorporate all types of zero-carbon energy sources within the energy demand area into the plan and control carbon emissions to the minimum"; the objective function can be set as follows:

[0074] Regarding the energy demand scheduling information mentioned above, (3) "When there are multiple energy demand regions, the objective function can be set according to the supply of various types of energy in each energy demand region";

[0075] Regarding the energy demand scheduling information mentioned above, (4) "Specify the target type of energy and the supply of the target type of energy in a specific energy demand area, and determine the minimum zero-carbon energy consumption"; the objective function can be set as follows:

[0076] Regarding the energy demand scheduling information mentioned above, (5) "meeting the energy demand of the energy demand area in the lowest cost manner"; the objective function can be set as follows:

[0077] In this embodiment of the invention, based on the above implementation process, specifically, determining the target application scenario corresponding to the energy dispatch request includes:

[0078] Obtain the scenario identifier included in the energy dispatch request;

[0079] Based on the scenario identifier, the target application scenario corresponding to the energy dispatch request is determined from a preset set of application scenarios. The set of application scenarios includes multiple application scenarios, and each application scenario includes at least one energy dispatch requirement.

[0080] In this embodiment, each application scenario in the application scenario set has a corresponding scenario identifier, and the application scenario in the application scenario set that corresponds to the scenario identifier in the energy dispatch request is taken as the target application scenario.

[0081] Optionally, the energy dispatching demand information may differ depending on the application scenario.

[0082] In this embodiment of the invention, based on the above implementation process, specifically, after obtaining the carbon emission reduction superstructure model corresponding to the target application scenario, the method further includes:

[0083] The carbon emission reduction superstructure model corresponding to the target application scenario is displayed on the preset display interface.

[0084] In this embodiment, a carbon reduction superstructure model including the energy allocation scheme can be displayed on the display interface to show the energy allocation scheme for the energy demand area, such as... Figure 2 The diagram shown is a schematic of the universal carbon emission reduction superstructure model proposed in this invention. The carbon emission reduction superstructure model includes all possible energy supply and demand relationships in each region. Specifically, it can include the total energy quantity (supply quantity) of various carbon-containing energy sources, the total energy quantity of various zero-carbon energy sources, the energy quantity of each type of energy supplied to each energy demand region, the carbon emissions of each energy demand region, and the energy surplus after each type of energy is supplied to each energy demand region.

[0085] In one embodiment of the present invention, a carbon emission reduction superstructure model can be constructed to realize energy planning and scheduling for various energy demand areas, as detailed below:

[0086] S201: Collect energy demand and supply information for each energy demand region. Collect real-time energy-related data and statistics from a pre-set database, such as carbon emission factors, energy demand, energy supply, carbon emission limits, and costs.

[0087] S202: Based on the requirements, select the target application scenario and solve the energy allocation scheme for each energy demand area.

[0088] The process of selecting the target application scenario and solving the energy allocation scheme for each energy demand area may include the following steps:

[0089] Step 1: Model initialization; whereby an initial carbon emission reduction superstructure model can be established based on statistical data and real-time data to determine the energy supply relationship in each energy demand region.

[0090] Step 2: Establish the objective function, which involves establishing an objective function corresponding to the target application scenario.

[0091] Step 3: Determine the constraints, which may include energy demand constraints, carbon emission constraints, etc.

[0092] Step 4: Solve the mathematical model. You can use a preset algorithm to solve the mathematical model and obtain the supply and demand schemes of various types of energy in the energy demand area, i.e., the energy allocation scheme.

[0093] Step 5: Visualize the results. The obtained energy allocation scheme will be graphically displayed using a carbon reduction superstructure.

[0094] S203: Based on the energy allocation scheme obtained from the solution, adjust the amount of energy supplied to each energy demand area in real time.

[0095] The following section uses an energy planning problem in a certain region as an example to illustrate in detail the energy dispatching method based on a carbon emission reduction superstructure model provided by this invention:

[0096] Real-time energy-related data and statistical data for each energy demand area are collected from a pre-set database, as shown in Table 1:

[0097]

[0098] Table 1

[0099] Based on the data in Table 1, an initialization model for the carbon emission reduction superstructure of the embodiment is established, such as... Figure 3 As shown, after establishing the carbon emission reduction superstructure initialization model, it can be optimized according to specific application scenarios.

[0100] Application Scenario 1: Without considering emission limits in a single region, find the minimum amount of zero-carbon energy required when the overall emission limit is 100×10⁶t CO₂.

[0101] In this case, the objective function can be set to

[0102] In application scenario 1, since emission limits for individual regions are not considered, all regions can be aggregated into one region for calculation. The constraints must satisfy zero-carbon energy emission factor constraints, energy balance constraints, regional energy supply and demand balance constraints, and total regional carbon emission limit constraints. After solving the objective function, the carbon reduction superstructure model corresponding to application scenario 1 is obtained, as follows: Figure 4 As shown, the total zero-carbon energy consumption is 724 PJ.

[0103] Application Scenario 2: Without considering emission limits in a single region, find the minimum carbon emissions when all zero-carbon energy is used.

[0104] In this case, the objective function can be set to

[0105] In application scenario 2, since emission limits for individual regions are not considered, all regions can be aggregated into one region for calculation. This should satisfy the zero-carbon energy emission factor constraints, energy balance constraints, regional energy supply and demand balance constraints, and total regional carbon emission limit constraints. After solving the objective function, the carbon reduction superstructure model corresponding to application scenario 2 is obtained, as follows: Figure 5 As shown, the total carbon emissions are 80.45 t CO2, which is 19.55 t CO2 lower than the regional energy supply and demand scheme in application scenario 1.

[0106] Application Scenario 3: In the case of multiple regions, determine the consumption of zero-carbon energy based on the energy supply and demand situation and CO2 emission limits of each region, and optimize the energy structure accordingly.

[0107] In this case, the objective function can be set to

[0108] In application scenario 3, the following constraints must be met: emission factor constraints for zero-carbon energy, energy balance constraints, regional energy supply and demand balance constraints, total regional carbon emission limit constraints, and individual regional carbon emission limit constraints. After solving the objective function, as follows... Figure 6 As shown, the carbon emission reduction superstructure model corresponding to application scenario 3 is obtained, with a total zero-carbon energy consumption of 813 PJ.

[0109] Application Scenario 4: Due to the constraints of actual needs, Region 1 must use coal with an energy content of 100PJ. Determine the minimum zero-carbon energy content while meeting the carbon emission requirements.

[0110] In this case, the objective function can be set to

[0111] In application scenario 4, the following constraints must be met: emission factor constraints for zero-carbon energy, energy balance constraints, regional energy supply and demand balance constraints, total regional carbon emission limit constraints, and individual regional carbon emission limit constraints. After solving the objective function, as follows... Figure 7 As shown, the carbon emission reduction superstructure model corresponding to application scenario 4 is obtained, with a total zero-carbon energy consumption of 853 PJ.

[0112] Application Scenario 5: Considering the economics of supply and demand, find the most economical energy allocation scheme while meeting carbon emission limits. The cost of supplying each energy source to each energy demand region is shown in Table 2.

[0113]

[0114] Table 2

[0115] In this case, the objective function can be set to

[0116] In application scenario 5, the following constraints must be met: emission factor constraints for zero-carbon energy, energy balance constraints, regional energy supply and demand balance constraints, total regional carbon emission limit constraints, and individual regional carbon emission limit constraints. After solving the objective function, as follows... Figure 8 As shown, the carbon emission reduction superstructure model corresponding to application scenario 5 is obtained, with a total cost of 23.7 million yuan.

[0117] The method provided in this invention has the following advantages: (1) It can effectively solve regional energy planning, design, and optimization problems. (2) By effectively combining the carbon emission reduction superstructure model with mathematical programming, the optimization results can be accurately calculated, and the regional energy supply and demand relationship can be displayed graphically. (3) It solves the problem of solving complex regional energy planning problems on a large scale. (4) It solves regional energy planning problems under different scenarios, considering energy type restrictions, costs, etc. (5) It optimizes energy utilization and optimizes regional energy supply and demand and carbon emission problems in real time. (6) Enterprises can use this method to optimize product structure and energy dispatch, and energy management departments can plan regional energy allocation and carbon emission limits based on this method.

[0118] and Figure 1Corresponding to the method described above, this embodiment of the invention also provides an energy dispatching device based on a carbon emission reduction superstructure model, used for... Figure 1 The specific implementation of the method, the energy dispatching device based on the carbon emission reduction superstructure model provided in this embodiment of the invention, can be applied to electronic devices, and its structural schematic diagram is shown below. Figure 9 As shown, specifically including:

[0119] The first determining unit 901 is used to respond to an energy dispatch request and determine the energy information and target application scenario of each energy demand area corresponding to the energy dispatch request; the energy information includes the carbon emission factor of each type of energy, the total energy quantity of each type of energy, the cost information of each type of energy, the energy demand of each energy demand area, and the carbon emission limit.

[0120] The second determining unit 902 is used to generate a carbon emission reduction superstructure initialization model based on the energy information of each energy demand region, and to determine the objective function and constraints corresponding to the target application scenario.

[0121] The execution unit 903 is used to optimize the carbon emission reduction superstructure initialization model of the energy demand region according to the target application scenario, the objective function and the constraints, so as to obtain the carbon emission reduction superstructure model corresponding to the target application scenario; the carbon emission reduction superstructure model includes the energy allocation scheme of each of the energy demand regions.

[0122] The energy dispatching unit 904 is used to perform energy dispatching for each of the energy demand areas based on the energy allocation scheme.

[0123] In one embodiment of the present invention, based on the above-described solution, optionally, the first determining unit 901 includes:

[0124] The acquisition subunit is used to acquire the scene identifier included in the energy dispatch request;

[0125] The determination subunit is used to determine the target application scenario corresponding to the energy dispatch request in a preset application scenario set based on the scenario identifier. The application scenario set includes multiple application scenarios, and each application scenario includes at least one energy dispatch requirement information.

[0126] In one embodiment of the present invention, based on the above-described scheme, optionally, the energy dispatching device based on the carbon emission reduction superstructure model further includes:

[0127] The display unit is used to display the carbon emission reduction superstructure model corresponding to the target application scenario on a preset display interface.

[0128] The specific principles and execution processes of each unit and module in the energy dispatching device based on the carbon emission reduction superstructure disclosed in the above embodiments of the present invention are the same as those of the energy dispatching method based on the carbon emission reduction superstructure model disclosed in the above embodiments of the present invention. Please refer to the corresponding parts of the energy dispatching method based on the carbon emission reduction superstructure model provided in the above embodiments of the present invention, and they will not be repeated here.

[0129] This invention also provides a storage medium, which includes stored instructions, wherein when the instructions are executed, the device where the storage medium is located executes the energy scheduling method based on the carbon emission reduction superstructure model described above.

[0130] This invention also provides an electronic device, the structural schematic of which is shown below. Figure 10 As shown, it specifically includes a memory 1001 and one or more instructions 1002, wherein one or more instructions 1002 are stored in the memory 1001 and configured to be executed by one or more processors 1003 to perform the following operations:

[0131] In response to an energy dispatch request, determine the energy information and target application scenario of each energy demand area corresponding to the energy dispatch request; the energy information includes the carbon emission factor of each type of energy, the total energy quantity of each type of energy, the cost information of each type of energy, the energy demand of each energy demand area, and the carbon emission limit.

[0132] A carbon emission reduction superstructure initialization model is generated based on the energy information of each of the energy demand regions, and the objective function and constraints corresponding to the target application scenario are determined.

[0133] Based on the target application scenario, the objective function, and the constraints, the initialization model of the carbon emission reduction superstructure of the energy demand region is optimized to obtain the carbon emission reduction superstructure model corresponding to the target application scenario; the carbon emission reduction superstructure model includes the energy allocation scheme of each of the energy demand regions.

[0134] Energy scheduling is performed on each of the energy demand areas based on the energy allocation scheme.

[0135] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For apparatus embodiments, since they are basically similar to method embodiments, the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0136] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0137] For ease of description, the above apparatus is described by dividing it into various functional units. Of course, in implementing this invention, the functions of each unit can be implemented in one or more software and / or hardware components.

[0138] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of the present invention.

[0139] The above provides a detailed description of an energy dispatching method based on a carbon emission reduction superstructure model provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An energy dispatching method based on a carbon emission reduction superstructure model, characterized in that, include: In response to an energy dispatch request, determine the energy information and target application scenario of each energy demand area corresponding to the energy dispatch request; The energy information includes the carbon emission factor for each type of energy, the total energy quantity for each type of energy, the cost information for each type of energy, the energy demand for each energy demand region, and the carbon emission limit. A carbon reduction superstructure initialization model is generated based on the energy information of each of the energy demand regions, and the objective function and constraints corresponding to the target application scenario are determined; the objective function includes at least one of zero-carbon energy consumption, carbon emissions, and energy cost; Based on the target application scenario, the objective function, and the constraints, the initialization model of the carbon emission reduction superstructure for the energy demand region is optimized to obtain the carbon emission reduction superstructure model corresponding to the target application scenario. The carbon emission reduction superstructure model includes an energy allocation scheme for each of the energy demand regions. The energy allocation scheme includes the following information: the total energy quantity of various carbon-containing energy sources, the total energy quantity of various zero-carbon energy sources, the energy quantity supplied to each of the energy demand regions for each type of energy, the carbon emissions of each of the energy demand regions, and the remaining energy quantity and remaining carbon emissions after each type of energy is supplied to each of the energy demand regions. Energy scheduling is performed on each of the energy demand areas based on the energy allocation scheme. The constraints include at least one of the following: zero-carbon energy emission factor constraints, energy balance constraints, regional energy supply and demand balance constraints, total regional carbon emission limit constraints, and single regional carbon emission limit constraints. The emission factor constraint for zero-carbon energy is: C0 = 0; C0 refers to the carbon emission factor of zero-carbon energy. The energy balance constraint is as follows: The regional energy supply and demand balance constraint is as follows: The overall regional carbon emission limit constraints are as follows: The carbon emission limits for a single region are as follows: Where C0 refers to the carbon emission factor of zero-carbon energy, C i For energy type i, the carbon emission factor; F ij S refers to the amount of energy of type i supplied to energy demand region j; i U refers to the total energy quantity of energy of type i; j I refers to the energy demand of energy demand region j; I refers to the total number of energy types; J refers to the total number of energy demand regions; E ij Carbon emissions resulting from supplying type i energy to energy-demanding region j; E j R represents the carbon emission limit for energy demand region j; i The remaining energy after supplying all energy demand areas for type i.

2. The method according to claim 1, characterized in that, The determination of the target application scenario corresponding to the energy dispatch request includes: Obtain the scenario identifier included in the energy dispatch request; Based on the scenario identifier, the target application scenario corresponding to the energy dispatch request is determined from a preset set of application scenarios. The set of application scenarios includes multiple application scenarios, and each application scenario includes at least one energy dispatch requirement.

3. The method according to claim 1, characterized in that, After obtaining the carbon emission reduction superstructure model corresponding to the target application scenario, the process further includes: The carbon emission reduction superstructure model corresponding to the target application scenario is displayed on the preset display interface.

4. An energy dispatching device, characterized in that, include: The first determining unit is used to respond to an energy dispatch request and determine the energy information of each energy demand area and the target application scenario corresponding to the energy dispatch request. The energy information includes the carbon emission factor for each type of energy, the total energy quantity for each type of energy, the cost information for each type of energy, the energy demand for each energy demand region, and the carbon emission limit. The second determining unit is used to generate a carbon emission reduction superstructure initialization model based on the energy information of each energy demand region, and to determine the objective function and constraints corresponding to the target application scenario. The objective function includes at least one of zero-carbon energy consumption, carbon emissions, and energy costs; the constraints include at least one of zero-carbon energy emission factor constraints, energy balance constraints, regional energy supply and demand balance constraints, total regional carbon emission limit constraints, and single regional carbon emission limit constraints. The emission factor constraint for zero-carbon energy is: C0 = 0; C0 refers to the carbon emission factor of zero-carbon energy. The energy balance constraint is as follows: The regional energy supply and demand balance constraint is as follows: The overall regional carbon emission limit constraints are as follows: The carbon emission limits for a single region are as follows: Where C0 refers to the carbon emission factor of zero-carbon energy, C i For energy type i, the carbon emission factor; F ij S refers to the amount of energy of type i supplied to energy demand region j; i U refers to the total energy quantity of energy of type i; j I refers to the energy demand of energy demand region j; I refers to the total number of energy types; J refers to the total number of energy demand regions; E ij Carbon emissions resulting from supplying type i energy to energy-demanding region j; E j R represents the carbon emission limit for energy demand region j; i The remaining energy after supplying all energy demand areas for type i; An execution unit is configured to optimize the initialization model of the carbon emission reduction superstructure of the energy demand region based on the target application scenario, the objective function, and the constraints, to obtain the carbon emission reduction superstructure model corresponding to the target application scenario. The carbon emission reduction superstructure model includes an energy allocation scheme for each of the energy demand regions. The energy allocation scheme includes the following information: the total energy quantity of various carbon-containing energy sources, the total energy quantity of various zero-carbon energy sources, the energy quantity supplied to each of the energy demand regions for each type of energy, the carbon emissions of each of the energy demand regions, and the remaining energy quantity and remaining carbon emissions after each type of energy is supplied to each of the energy demand regions. An energy dispatching unit is used to perform energy dispatching for each of the energy demand areas based on the energy allocation scheme.

5. The apparatus according to claim 4, characterized in that, Also includes: The display unit is used to display the carbon emission reduction superstructure model corresponding to the target application scenario on a preset display interface.

6. A storage medium, characterized in that, The storage medium includes storage instructions, wherein, when the instructions are executed, the device containing the storage medium is controlled to perform the energy scheduling method based on the carbon emission reduction superstructure model as described in any one of claims 1 to 3.

7. An electronic device, characterized in that, It includes a memory and one or more instructions, wherein one or more instructions are stored in the memory and configured to be executed by one or more processors, the energy dispatching method based on the carbon reduction superstructure model as described in any one of claims 1 to 3.

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