Power dispatching method, device and equipment, storage medium and product

Abstract

The invention discloses a power dispatching method, device and equipment, a storage medium and a product, the total carbon emission is calculated according to the obtained selected number of various vehicles and the carbon emission indexes of the various vehicles, and when the total carbon emission is greater than a set carbon emission threshold value, the power dispatching is completed. According to the invention, the electric energy provided for producing the electronic fuel used in the traffic field is increased to produce more electronic fuel, so that the proportion of the electronic fuel in the traffic field is increased, and the carbon emission in the traffic field is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power dispatching, and in particular to an electric power dispatching method, device, equipment, storage medium and product. Background Art

[0002] The emergence of low-carbon emission electronic fuels has solved the problem of high carbon emissions from internal combustion locomotives. With its advantages of low carbon emissions and stable performance, it has become a new force in reducing carbon emissions in transportation. After being mixed with traditional fuels as a power source for vehicles, it has reduced carbon emissions in the transportation sector to a certain extent.

[0003] At present, the production of electronic fuels depends on power dispatch, especially renewable electricity. In the process of electronic fuel production, power dispatch is generally carried out with economy as the optimization goal, which easily results in insufficient power to produce enough electronic fuels for the transportation sector, resulting in insufficient low-carbon optimization in the transportation sector. Therefore, a new power dispatch method is needed to ensure the low-carbon optimization in the transportation sector. Summary of the invention

[0004] Based on this, the present invention provides a power dispatching method, device, equipment, storage medium and product to solve the defect of insufficient low-carbon optimization caused by only considering economic factors in the prior art to call for electricity to produce electronic fuel.

[0005] To achieve the above object, an embodiment of the present invention provides a power dispatching method, comprising: Acquire initial electric energy data, the selected number of each type of vehicle, and the carbon emission index of each type of vehicle; wherein the initial electric energy data is used to characterize the preset initial electric energy provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the electric energy provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; Calculate the total carbon emissions according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles; When the total carbon emissions are greater than a set carbon emissions threshold, increasing the initial electric energy data so that the total carbon emissions are less than or equal to the set carbon emissions threshold, and obtaining target electric energy data; Electricity dispatch is performed according to the target electric energy data to provide electric energy for the production of electronic fuel used in the transportation field.

[0006] To achieve the above object, an embodiment of the present invention further provides a power dispatching device, comprising: An information acquisition module, used to acquire initial electric energy data, the selected number of each type of vehicle and the carbon emission index of each type of vehicle; wherein the initial electric energy data is used to characterize the preset initial electric energy provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the electric energy provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; A carbon emission calculation module, used to calculate the total carbon emission according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles; An electric energy data calculation module, configured to increase the initial electric energy data when the total carbon emissions are greater than a set carbon emission threshold, so as to make the total carbon emissions less than or equal to the set carbon emission threshold, and obtain target electric energy data; The power dispatching module is used to perform power dispatching according to the target power data to provide power for the production of electronic fuel used in the transportation field.

[0007] To achieve the above objectives, an embodiment of the present invention further provides a power dispatching device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the power dispatching method as described in any of the above embodiments is implemented.

[0008] To achieve the above objectives, an embodiment of the present invention further provides a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the power dispatching method as described in any of the above embodiments.

[0009] To achieve the above objectives, an embodiment of the present invention further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the power dispatching method as described in any of the above embodiments.

[0010] Compared with the prior art, the power dispatching method, device, equipment, storage medium and product disclosed in the embodiments of the present invention first obtain initial power data, the selected number of each type of vehicles and the carbon emission index of the various types of vehicles; wherein the initial power data is used to characterize the preset initial power provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the power provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; then, the total carbon emissions are calculated according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles; then, when the total carbon emissions are greater than the set carbon emission threshold, the initial power data is increased so that the total carbon emissions are less than or equal to the set carbon emission threshold, and the target power data is obtained; finally, power dispatch is performed according to the target power data to provide power for the production of electronic fuel for the transportation field. It can be seen that the embodiment of the present invention calculates the carbon emissions in the transportation sector by obtaining the selected number and carbon emission index of each type of vehicle, increases the initial electric energy data when the carbon emissions are too large, and calls on more electric energy to produce more electronic fuel for the transportation sector, thereby increasing the proportion of electronic fuel in the transportation sector and reducing carbon emissions in the transportation sector. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the implementation mode will be briefly introduced below. Obviously, the drawings described below are only some implementation modes of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0012] Figure 1 It is a flowchart of a power dispatching method provided by an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a power dispatching device provided by an embodiment of the present invention; Figure 3 It is a structural schematic diagram of a power dispatching device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0014] An embodiment of the present invention provides a power dispatching method, see Figure 1 The schematic diagram of the flow chart of the power dispatching method shown in FIG. Specifically, the power dispatching method includes steps S1 to S4: S1. Obtaining initial electric energy data, the selected number of each type of vehicle and the carbon emission index of each type of vehicle; wherein the initial electric energy data is used to characterize the preset initial electric energy provided to the production of electronic fuel for use in the transportation field, the various types of vehicles are powered by mixed fuels, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the electric energy provided to the production of the electronic fuel for use in the transportation field, and the carbon emission index is positively correlated with the unit carbon emissions of the mixed fuel.

[0015] It is worth noting that the vehicle in this embodiment is powered by a mixed fuel, which includes electronic fuel and traditional fuel, and the traditional fuel is generally gasoline. Electronic fuel is H2 generated by water electrolysis, and then catalytically reacts with CO2 to generate a liquid hydrocarbon chain fuel. It is necessary to call on green electricity in the power grid to generate electronic fuel. In general, the more electricity called, the greater the production of electronic fuel, and the higher the proportion of electronic fuel in the mixed fuel. The carbon emission index is closely related to the vehicle's own performance and the proportion of electronic fuel in the mixed fuel. The higher the proportion of electronic fuel, the less carbon emissions per unit mileage of the vehicle, and the smaller the carbon emission index.

[0016] S2. Calculate the total carbon emissions according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles.

[0017] S3. When the total carbon emissions are greater than a set carbon emission threshold, increase the initial electric energy data so that the total carbon emissions are less than or equal to the set carbon emission threshold, and obtain target electric energy data.

[0018] Specifically, due to the lack of maturity of the preparation process of electronic fuel, the current cost of hydrogen production by electrolysis of water is relatively high, and the preparation process is more complicated. At the same time, carbon capture technology is required, and the overall cost is higher. Therefore, in the method, the initial proportion of electronic fuel in the mixed fuel can be set in advance, and the initial electric energy required to be called can be determined. Furthermore, on the basis of the initial proportion, the selected number of each type of vehicle is calculated in combination with various vehicle characteristics of the vehicle and the total vehicle demand, and the total carbon emissions are accurately calculated. When the total carbon emissions are too large, in order to reduce carbon emissions, it is necessary to increase the proportion of electronic fuel in the mixed fuel. Therefore, more electricity is called for the production of electronic fuel, more electronic fuel is generated, and the proportion of electronic fuel in the mixed fuel is increased, thereby achieving the purpose of reducing carbon emissions in the transportation sector.

[0019] It is worth noting that the carbon emission threshold can be set according to actual conditions and is not limited here.

[0020] S4. Perform power dispatch according to the target power data to provide power for the production of electronic fuel used in the transportation field.

[0021] Compared with the prior art, the power dispatching method provided in the embodiment of the present invention first obtains initial power data, the selected number of each type of vehicles and the carbon emission index of the various types of vehicles; wherein the initial power data is used to characterize the preset initial power provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by a mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the power provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; then, the total carbon emissions are calculated based on the selected number of each type of vehicles and the carbon emission index of each type of vehicles; then, when the total carbon emissions are greater than the set carbon emission threshold, the initial power data is increased so that the total carbon emissions are less than or equal to the set carbon emission threshold to obtain the target power data; finally, power dispatch is performed according to the target power data to provide power for the production of electronic fuel for the transportation field. It can be seen that the embodiment of the present invention calculates the carbon emissions in the transportation sector by obtaining the selected number and carbon emission index of each type of vehicle, increases the initial electric energy data when the carbon emissions are too large, and calls on more electric energy to produce more electronic fuel for the transportation sector, thereby increasing the proportion of electronic fuel in the transportation sector and reducing carbon emissions in the transportation sector.

[0022] In a preferred embodiment, based on steps S1 to S4, the selected number of each type of vehicle is calculated through steps S11 to S13: S11. Obtain vehicle characteristics and total vehicle demand of various types of vehicles, and normalize the vehicle characteristics to obtain normalized characteristics; wherein the vehicle characteristics include at least one of production process complexity, production input cost, safety performance index and the carbon emission index.

[0023] Specifically, since the numerical ranges of different vehicle characteristics are different, and all vehicle characteristics need to be comprehensively considered to determine the selection probability of each type of vehicle, after obtaining multiple vehicle characteristics of each type of vehicle, each vehicle characteristic needs to be normalized for subsequent calculations. For example, the production process complexity of each type of vehicle is formed into a column of data, and this column of data is changed to the interval [0,1]. Similarly, other vehicle characteristics can also be normalized by referring to the above normalization method.

[0024] S12. Perform weighted calculation on all the normalized features of the first category of vehicles to obtain the probability of the first category of vehicles being selected; wherein the first category of vehicles is any one category of the various categories of vehicles.

[0025] Specifically, different types of vehicles have different vehicle characteristics, which affect the market evolution trend of vehicles to varying degrees. Therefore, it is necessary to assign a corresponding weight coefficient to each vehicle characteristic, and then comprehensively consider all vehicle characteristics to obtain the selection probability of each type of vehicle. It can be understood that the carbon emission index is related to the fuel consumption rate of the vehicle. Therefore, in addition to being able to feedback the environmental friendliness of the vehicle, it also reflects the power cost of the vehicle to a certain extent. Optionally, if the power cost is also considered in calculating the probability of the vehicle being selected, the absolute value of the weight coefficient of the carbon emission index can be appropriately increased to take the power cost factor into account.

[0026] S13. Calculate the number of selected vehicles of each category according to the total demand for vehicles and the probability of selection of each category of vehicles.

[0027] It is understandable that the environmental friendliness of a vehicle, the difficulty of its production, and its safety will all affect the market evolution trend of the vehicle, and thus affect the final total carbon emissions.

[0028] The embodiments of the present invention determine the selection probability of each type of vehicle by acquiring multiple vehicle characteristics of each type of vehicle, and determine the market evolution trend of each type of vehicle in combination with the total vehicle demand, so as to accurately calculate the total carbon emissions in the transportation field.

[0029] Furthermore, the complexity of the production process is positively correlated with the time required for production and the number of production processes; the production input cost is positively correlated with the scarcity of vehicle materials and the energy consumption of vehicle production; the carbon emission index is positively correlated with the vehicle's carbon emissions per unit mileage, and the vehicle's carbon emissions per unit mileage are calculated based on the unit carbon emissions of the mixed fuel and the vehicle's energy consumption per unit mileage.

[0030] Specifically, the complexity of the production process is set by comprehensively considering factors such as the production time required and the number of production processes in the vehicle production process; the production input cost is set by comprehensively considering the scarcity of materials for preparing vehicles and the energy consumption of the vehicle production process. The greater the scarcity of vehicle materials or the greater the energy consumption of vehicle generation, the greater the production input cost; the carbon emission index of the vehicle is set according to the carbon emissions per unit mileage of the vehicle. Different types of vehicle engines will directly affect the fuel consumption rate, and thus affect the carbon emissions of the vehicle. Therefore, it is necessary to consider the unit mileage energy consumption of the vehicle and the unit carbon emissions of the mixed fuel to set the carbon emission index. It can be understood that the greater the unit carbon emissions of the mixed fuel or the greater the unit mileage energy consumption of the vehicle, the greater the unit mileage carbon emissions of the vehicle, and thus the greater the carbon emission index. For example, the carbon emission index is set equal to the unit carbon emissions of the mixed fuel multiplied by the unit mileage energy consumption of the vehicle. It is worth noting that the specific values ​​of each vehicle feature can be set according to actual conditions while satisfying the above relationship, and are not limited here.

[0031] Furthermore, the weighted calculation of all the normalized features of the first category of vehicles in step S12 to obtain the probability of the first category of vehicles being selected includes: Multiply each of the normalized features of the first category of vehicles by the corresponding weight coefficient and add them together to obtain the probability of the first category of vehicles being selected; wherein the weight coefficient of the production process complexity, the weight coefficient of the production input cost and the weight coefficient of the carbon emission index are all negative numbers, and the weight coefficient of the safety performance index is a positive number; The step S13 of calculating the number of selected vehicles of each category according to the total vehicle demand and the probability of selection of each category of vehicles includes: Normalizing the selection probabilities of all the various types of vehicles to obtain normalized probabilities of the various types of vehicles; The selected quantity of each type of vehicle is calculated according to the total vehicle demand and the normalized probability of each type of vehicle.

[0032] Specifically, under normal circumstances, the higher the complexity of the production process, the lower the probability of the vehicle being selected, so the weight coefficient of the production process complexity is a negative value; the higher the production input cost, the lower the probability of the vehicle being selected, so the weight coefficient of the production input cost is a negative value; the higher the safety performance index, the higher the probability of the vehicle being selected, so the weight coefficient of the safety performance index is a positive value; the larger the carbon emission index, the lower the probability of the vehicle being selected, so the weight coefficient of the carbon emission index is a negative value.

[0033] It is worth noting that, from the specific calculation formula of the selection probability, it can be seen that the value of the selection probability is not necessarily limited to between 0 and 1. Therefore, before calculating the number of selected vehicles of each type, it is necessary to normalize the selection probability and map its value of the selection probability to the interval [0,1]. In addition, the value of the weight coefficient of each vehicle feature is set according to the actual situation and is not specifically limited here.

[0034] Optionally, the probability of being selected for each type of vehicle can also be calculated in the following way: ; ; in, Nested Choice Framework for Consumers In the The probability of a choice (i.e., vehicle The probability of being selected), represents all choices (i.e. the total number of vehicle types), Select a frame for nested The vehicle under The cost-effectiveness of It is the cost sensitivity of a technology choice in the current nested choice framework.

[0035] The cost-effectiveness of each item is calculated using the following methods: ; in, Represents a technology The value of the attribute is related to the technology Related, For Technology No. The preset weights for each attribute.

[0036] In a preferred embodiment, the unit carbon emission of the mixed fuel includes the carbon emission generated when the traditional fuel is burned and the carbon emission generated when the electronic fuel is produced in each unit of the mixed fuel.

[0037] Specifically, the unit carbon emissions of mixed fuels include the carbon emissions of electronic fuels and traditional fuels. The carbon emissions calculation formula of mixed fuels is as follows: ; in, represents the specific carbon emissions of the mixed fuel, represents the proportion of electronic fuel in the mixed fuel, represents the unit carbon emission of electronic fuel, Indicates the unit carbon emissions of traditional fuels.

[0038] It is worth noting that the carbon neutrality of electronic fuel determines that the carbon emissions brought by electronic fuel are generated during the production process of electronic fuel. The unit carbon emissions of electronic fuel refer to the carbon emissions of green electricity consumed to generate each unit of electronic fuel.

[0039] In a preferred embodiment, based on steps S1 to S4, the initial electric energy data is calculated in the following manner: Obtaining a cost decline factor of the electronic fuel, a proportion increase factor of the electronic fuel, a known unit cost of the electronic fuel in a specified year, and a known proportion of the electronic fuel in the mixed fuel in the specified year; Calculating the unit cost of the electronic fuel in the year to be estimated based on the known unit cost and the cost decline factor of the electronic fuel; wherein the specified year is the year before the year to be estimated; Add the known proportion and the proportion increase factor of the electronic fuel to obtain the ideal proportion of the electronic fuel in the mixed fuel in the year to be estimated; Multiplying the unit cost of the electronic fuel in the year to be estimated, the ideal proportion and a preset proportion influencing factor to obtain an initial proportion of the electronic fuel in the mixed fuel in the year to be estimated; Calculating the initial daily demand for the electronic fuel according to the initial proportion, the selected number of each type of vehicles, and the obtained daily consumption of the mixed fuel of each type of vehicles; Initial electric energy data is calculated based on the initial daily demand for the electronic fuel and the energy conversion efficiency of the acquired electricity when producing the electronic fuel.

[0040] It is worth noting that the preparation of electronic fuels is based on green hydrogen, and the current cost of producing hydrogen by electrolysis of water is high, and the preparation process is more complicated. At the same time, carbon capture technology is required, and the overall cost is higher. However, with the scale of green electricity and the maturity of carbon capture technology, the cost of electronic fuels will gradually decrease. Therefore, as the years increase, the initial proportion of electronic fuels in the mixed fuel will also increase.

[0041] The initial proportion of electronic fuel in the mixed fuel is calculated as follows: ; in, is the initial proportion of electronic fuel in the fuel mix in the estimated year; is the proportion of the previous year, i.e. the known proportion of electronic fuel in the fuel mix in the given year; is the initial share of e-fuel in the fuel mix in the year when cost reduction begins; is the initial share of e-fuel in the fuel mix in the year when the cost reduction ends; is the ratio increase factor of electronic fuel; For and price Related proportional impact factors.

[0042] The calculation formula is as follows: ; in, is the price of electronic fuel in the year to be estimated, that is, the unit cost of electronic fuel in the year to be estimated; is the e-fuel price in the previous year, i.e., the known unit cost of e-fuel in a given year; The year when the cost reduction starts, is the price corresponding to the year when cost reduction begins; The year when the cost of electronic fuels ends, is the price corresponding to the year when cost reduction ends; is the cost decline factor for electronic fuels.

[0043] The cost of the mixed fuel is calculated as: ; in, represents the price of the mixed fuel, Represents the price of conventional fuels.

[0044] After the initial proportion of electronic fuel in the mixed fuel in the estimated year is determined by the above formula, the daily consumption of mixed fuel for each type of vehicle is obtained; the daily consumption of electronic fuel for each type of vehicle is calculated based on the daily consumption of mixed fuel for each type of vehicle and the initial proportion of electronic fuel in the mixed fuel in the estimated year; the daily consumption of electronic fuel for each type of vehicle is multiplied by the selected number of corresponding vehicles and then added together to obtain the initial daily demand for electronic fuel; the initial electric energy data for the production of electronic fuel for sale to the transportation sector is calculated based on the initial daily demand for electronic fuel and the energy conversion efficiency of electricity obtained in advance when producing electronic fuel; if power dispatching based on the initial electric energy data can make the produced electronic fuel meet the carbon emission requirements of the transportation sector, that is, the total carbon emissions are less than or equal to the set carbon emission threshold, then power dispatching can be performed based on the initial electric energy data to provide electric energy for the production of electronic fuel for the transportation sector.

[0045] It is worth noting that the year in which cost reduction begins is before the year to be estimated, and the year in which cost reduction ends is after the year to be estimated. The year in which cost reduction ends can be estimated based on the current electronic fuel preparation technology and experience as to the specific year in which the preparation technology is fully mature and the initial proportion of electronic fuel in the mixed fuel when the preparation technology is fully mature.

[0046] Furthermore, the method further comprises: Construct the minimum cost objective function: ; in, is the total production cost of the electronic fuel, The cost of purchasing electricity, For infrastructure costs, is the cost of direct air carbon capture, The cost of purchasing water for electrolysis of water, for the proceeds from the sale of e-fuels; ; ; in, For the period , For the period The power supply value conversion coefficient is as follows: For the period The power supply of the power grid, For all time periods, For the period The amount of electricity purchased, Greater than or equal to 0 and less than or equal to ; ; in, The cost of the electrolytic cell is related to the material, electrolytic performance and electrolytic efficiency of the electrolytic cell; The cost of the memory required in the electronic fuel production process; The transportation cost is related to factors such as transportation time, transportation measures taken during transportation and transportation distance; The cost of carbon capture infrastructure is related to factors such as the maturity of carbon capture technology; is the fuel cell device cost; ; in, is the amount of carbon captured, is the capture cost per unit of carbon; ; in, For the amount of water purchased, is the cost per unit of water; ; in, is the amount of e-fuel sold to the transportation sector, is the price of the electronic fuel sold to the transportation sector, is the amount of the electronic fuel reversely delivered to the grid through the fuel cell, is the price of the electronic fuel for reverse transmission of electricity to the grid through the fuel cell; ; ; ; in, To generate the amount of electronic fuel, is the water consumption proportional factor, is the carbon consumption proportional factor, is the power consumption proportional factor.

[0047] ; ; ; ; in, is the fuel ratio factor, is the reverse power transmission proportional factor; Under the set production constraint, the minimum cost objective function is solved to obtain the optimal production of the electronic fuel, the optimal production of the electronic fuel as vehicle fuel, and the optimal production of the electronic fuel as grid energy storage; wherein the production constraint is that the quantity of the electronic fuel sold to the transportation sector is greater than or equal to the initial daily demand for the electronic fuel; The calculating of the initial electric energy data according to the initial daily demand of the electronic fuel and the energy conversion efficiency when the obtained electric power is used to produce the electronic fuel comprises: The total electric energy data is calculated based on the optimal production volume of the electronic fuel and the energy conversion efficiency when the obtained electricity is used to produce the electronic fuel; wherein the total electric energy data includes the initial electric energy data for producing the electronic fuel for the transportation field and the electric energy data for producing the electronic fuel as the grid energy storage.

[0048] Specifically, under the constraint that the amount of electronic fuel sold to the transportation sector is greater than or equal to the initial daily demand for electronic fuel, a minimum cost objective function is constructed that takes into account factors such as electricity purchase costs, infrastructure costs, direct air carbon capture costs, water purchase costs required for water electrolysis, and sales revenue of electronic fuel. Among them, the sales revenue of electronic fuel includes the revenue from the sale of electronic fuel to the transportation sector and the revenue from reverse power transmission to the power grid through fuel cells. By solving the minimum cost objective function, the optimal production of electronic fuel, the optimal output of electronic fuel as vehicle fuel, and the optimal output of electronic fuel as grid energy storage are obtained. Finally, combined with the energy conversion efficiency when producing electronic fuel from electricity, the initial total electric energy data for producing electronic fuel is calculated.

[0049] It is understandable that the electronic fuel sold to the transportation sector provides power for vehicles together with traditional fuels; the optimal production of electronic fuel is the sum of the optimal production of electronic fuel as vehicle fuel and the optimal production of electronic fuel as grid energy storage. If power dispatching based on the initial electric energy data can make the produced electronic fuel meet the carbon emission requirements of the transportation sector, that is, when the total carbon emissions are less than or equal to the set carbon emission threshold, then the electronic fuel can be produced by power dispatching based on the initial total electric energy data, and the produced electronic fuel can be sold to the transportation sector and the energy storage sector respectively, achieving the purpose of minimizing costs.

[0050] Compared with the prior art, the power dispatching method provided in the embodiment of the present invention first obtains initial power data, the selected number of each type of vehicles and the carbon emission index of the various types of vehicles; wherein the initial power data is used to characterize the preset initial power provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by a mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the power provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emissions of the mixed fuel; then, the total carbon emissions are calculated based on the selected number of each type of vehicles and the carbon emission index of each type of vehicles; then, when the total carbon emissions are greater than the set carbon emission threshold, the initial power data is increased so that the total carbon emissions are less than or equal to the set carbon emission threshold to obtain the target power data; finally, power dispatch is performed according to the target power data to provide power for the production of electronic fuel for the transportation field. It can be seen that the embodiment of the present invention calculates the carbon emissions in the transportation sector by obtaining the selected number and carbon emission index of each type of vehicle, increases the initial electric energy data when the carbon emissions are too large, and calls on more electric energy to produce more electronic fuel for the transportation sector, thereby increasing the proportion of electronic fuel in the transportation sector and reducing carbon emissions in the transportation sector.

[0051] See also Figure 2 , Figure 2 An embodiment of the present invention provides a power dispatching device, the power dispatching device comprising: The information acquisition module 21 is used to acquire initial electric energy data, the selected number of each type of vehicle and the carbon emission index of each type of vehicle; wherein the initial electric energy data is used to characterize the preset initial electric energy provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the electric energy provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; A carbon emission calculation module 22, used to calculate the total carbon emission according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles; The electric energy data calculation module 23 is used to increase the initial electric energy data when the total carbon emission is greater than the set carbon emission threshold, so that the total carbon emission is less than or equal to the set carbon emission threshold, and obtain the target electric energy data; The power dispatching module 24 is used to perform power dispatching according to the target power data to provide power for the production of electronic fuel used in the transportation field.

[0052] It is worth noting that the working principle of the power dispatching device provided in the above embodiments can refer to the working process of the power dispatching method provided in any of the above embodiments, which will not be described in detail here.

[0053] Compared with the prior art, the device provided by the embodiment of the present invention first obtains initial electric energy data, the selected number of each type of vehicles and the carbon emission index of the various types of vehicles; wherein the initial electric energy data is used to characterize the preset initial electric energy provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the electric energy provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; then, the total carbon emissions are calculated according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles; then, when the total carbon emissions are greater than the set carbon emission threshold, the initial electric energy data is increased so that the total carbon emissions are less than or equal to the set carbon emission threshold, and the target electric energy data is obtained; finally, power dispatch is performed according to the target electric energy data to provide electric energy for the production of electronic fuel for the transportation field. It can be seen that the embodiment of the present invention calculates the carbon emissions in the transportation sector by obtaining the selected number and carbon emission index of each type of vehicle, increases the initial electric energy data when the carbon emissions are too large, and calls on more electric energy to produce more electronic fuel for the transportation sector, thereby increasing the proportion of electronic fuel in the transportation sector and reducing carbon emissions in the transportation sector.

[0054] See also Figure 3 The embodiment of the present invention further provides a power dispatching device, including a processor 31, a memory 32, and a computer program stored in the memory 32 and configured to be executed by the processor 31. When the processor 31 executes the computer program, the steps in the above power dispatching method embodiment are implemented, for example Figure 1 S1~S4 in; or, the processor 31 implements the functions of each module in the above-mentioned device embodiments when executing the computer program.

[0055] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory 32 and executed by the processor 31 to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the power dispatching device. For example, the computer program may be divided into multiple modules, each of which is used to execute specific steps in the method described in any of the above embodiments.

[0056] The power dispatching device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The power dispatching device may include, but is not limited to, a processor 31 and a memory 32. Those skilled in the art may understand that the power dispatching device may also include input and output devices, network access devices, buses, etc.

[0057] The processor 31 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 31 is the control center of the electric power dispatching device, and uses various interfaces and lines to connect various parts of the entire electric power dispatching device.

[0058] The memory 32 can be used to store the computer program and / or module, and the processor 31 realizes various functions of the power dispatching device by running or executing the computer program and / or module stored in the memory 32, and calling the data stored in the memory 32. The memory 32 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory 32 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (SmartMedia Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0059] Wherein, if the module integrated in the power dispatching equipment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor 31, the steps of the above-mentioned method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0060] An embodiment of the present invention further provides a computer program product, including a computer program / instruction, wherein when the computer program / instruction is executed by a processor, the power dispatching method as described in any of the above embodiments is implemented.

[0061] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A power dispatching method, characterized in that: include: Acquire initial electric energy data, the selected number of each type of vehicle, and the carbon emission index of each type of vehicle; wherein the initial electric energy data is used to characterize the preset initial electric energy provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the electric energy provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; Calculate the total carbon emissions according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles; When the total carbon emissions are greater than a set carbon emissions threshold, increasing the initial electric energy data so that the total carbon emissions are less than or equal to the set carbon emissions threshold, and obtaining target electric energy data; Electricity dispatch is performed according to the target electric energy data to provide electric energy for the production of electronic fuel used in the transportation field.

2. The power dispatching method according to claim 1, characterized in that: The selected number of each type of vehicle is calculated as follows: Obtaining vehicle characteristics and total vehicle demand of the various types of vehicles, and normalizing the vehicle characteristics to obtain normalized characteristics; wherein the vehicle characteristics include at least one of production process complexity, production input cost, safety performance index, and the carbon emission index; Performing weighted calculation on all the normalized features of the first category of vehicles to obtain the probability of the first category of vehicles being selected; wherein the first category of vehicles is any one of the various categories of vehicles; The selected quantity of each type of vehicle is calculated according to the total vehicle demand and the selection probability of each type of vehicle.

3. The power dispatching method according to claim 2, characterized in that: The complexity of the production process is positively correlated with the time required for production and the number of production processes; the production input cost is positively correlated with the scarcity of vehicle materials and the energy consumption of vehicle production; the carbon emission index is positively correlated with the vehicle's carbon emissions per unit mileage, and the vehicle's carbon emissions per unit mileage are calculated based on the unit carbon emissions of the mixed fuel and the vehicle's energy consumption per unit mileage.

4. The power dispatching method according to claim 1, characterized in that: The unit carbon emission of the mixed fuel includes the carbon emission generated when the traditional fuel is burned and the carbon emission generated when the electronic fuel is produced in each unit of the mixed fuel.

5. The power dispatching method according to claim 1, characterized in that: The initial electric energy data is calculated by the following method: Obtaining a cost decline factor of the electronic fuel, a proportion increase factor of the electronic fuel, a known unit cost of the electronic fuel in a specified year, and a known proportion of the electronic fuel in the mixed fuel in the specified year; Calculating the unit cost of the electronic fuel in the year to be estimated based on the known unit cost and the cost decline factor of the electronic fuel; wherein the specified year is the year before the year to be estimated; Add the known proportion and the proportion increase factor of the electronic fuel to obtain the ideal proportion of the electronic fuel in the mixed fuel in the year to be estimated; Multiplying the unit cost of the electronic fuel in the year to be estimated, the ideal proportion and a preset proportion influencing factor to obtain an initial proportion of the electronic fuel in the mixed fuel in the year to be estimated; Calculating the initial daily demand for the electronic fuel according to the initial proportion, the selected number of each type of vehicles, and the obtained daily consumption of the mixed fuel of each type of vehicles; Initial electric energy data is calculated based on the initial daily demand for the electronic fuel and the energy conversion efficiency of the acquired electricity when producing the electronic fuel.

6. The power dispatching method according to claim 5, characterized in that: The method further comprises: Construct the minimum cost objective function: ； in, is the total production cost of the electronic fuel, The cost of purchasing electricity, For infrastructure costs, is the cost of direct air carbon capture, The cost of purchasing water for electrolysis of water, The proceeds from the sale of the electronic fuel; ； ； in, For the period , For the period The power supply value conversion coefficient is as follows: For the period The power supply of the power grid, For all time periods, For the period The amount of electricity purchased, Greater than or equal to 0 and less than or equal to ; ； in, is the electrolyzer cost, is the memory cost required in the electronic fuel production process, For transportation costs, For carbon capture infrastructure costs, is the fuel cell device cost; ； in, is the amount of carbon captured, is the capture cost per unit of carbon; ； in, For the amount of water purchased, is the cost per unit of water; ； in, is the amount of e-fuel sold to the transportation sector, is the price of the electronic fuel sold to the transportation sector, is the amount of the electronic fuel reversely delivered to the grid through the fuel cell, is the price of the electronic fuel for reverse transmission of electricity to the grid through the fuel cell; ； ； ； in, To generate the amount of electronic fuel, is the water consumption proportional factor, is the carbon consumption proportional factor, is the power consumption proportional factor; ； ； ； ； in, is the fuel ratio factor, is the reverse power transmission proportional factor; Under the set production constraint, the minimum cost objective function is solved to obtain the optimal production of the electronic fuel, the optimal production of the electronic fuel as vehicle fuel, and the optimal production of the electronic fuel as grid energy storage; wherein the production constraint is that the quantity of the electronic fuel sold to the transportation sector is greater than or equal to the initial daily demand for the electronic fuel; The calculating of the initial electric energy data according to the initial daily demand of the electronic fuel and the energy conversion efficiency when the obtained electric power is used to produce the electronic fuel comprises: The total electric energy data is calculated based on the optimal production volume of the electronic fuel and the energy conversion efficiency when the obtained electricity is used to produce the electronic fuel; wherein the total electric energy data includes the initial electric energy data for producing the electronic fuel for the transportation field and the electric energy data for producing the electronic fuel as the grid energy storage.

7. A power dispatching device, characterized in that: include: An information acquisition module, used to acquire initial electric energy data, the selected number of each type of vehicle and the carbon emission index of each type of vehicle; wherein the initial electric energy data is used to characterize the preset initial electric energy provided to the production of electronic fuel for the transportation field, the various types of vehicles are powered by mixed fuel, the mixed fuel includes the electronic fuel and traditional fuel, the proportion of the electronic fuel in the mixed fuel is positively correlated with the electric energy provided to the production of the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel; A carbon emission calculation module, used to calculate the total carbon emission according to the selected number of each type of vehicles and the carbon emission index of each type of vehicles; An electric energy data calculation module, configured to increase the initial electric energy data when the total carbon emissions are greater than a set carbon emission threshold, so as to make the total carbon emissions less than or equal to the set carbon emission threshold, and obtain target electric energy data; The power dispatching module is used to perform power dispatching according to the target power data to provide power for the production of electronic fuel used in the transportation field.

8. A power dispatching device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the power dispatching method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the power dispatching method according to any one of claims 1 to 6.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the power dispatching method according to any one of claims 1 to 6 is implemented.

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