A power dispatching method, device, equipment, storage medium and product

Abstract

The present invention discloses a power dispatching method, device, equipment, storage medium and product. By calculating the total carbon emissions based on the selected quantities of various types of vehicles and combining the carbon emission indices of various types of vehicles, when the total carbon emissions are greater than the set carbon emission threshold, the electric energy provided for producing e-fuels for the transportation field is increased to produce more e-fuels, so that the proportion of e-fuels in the transportation field is increased, thereby reducing the carbon emissions in the transportation field.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching. Specifically, it relates to a power dispatching method, device, equipment, storage medium and product. Background Art

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

[0003] Currently, the production of e-fuels relies on power dispatching, especially renewable power. In the process of e-fuel production, power dispatching is generally optimized with economy as the goal, which is likely to result in insufficient power being called to produce enough e-fuels for the transportation field, leading to insufficient low-carbon optimization in the transportation field. Therefore, a new power dispatching method is needed to ensure the low-carbon optimization level in the transportation field. 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 to call power for e-fuel production in the prior art.

[0005] To achieve the above object, an embodiment of the present invention provides a power dispatching method, including:

[0006] Obtain initial electric energy data, the selected quantity of various types of vehicles, and the carbon emission index of various types of vehicles; wherein, the initial electric energy data is used to represent the preset initial electric energy provided for the production of e-fuels for the transportation field, various types of vehicles are powered by a mixed fuel, the mixed fuel includes the e-fuel and traditional fuel, the proportion of the e-fuel in the mixed fuel is positively correlated with the electric energy provided for the production of e-fuels for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the mixed fuel;

[0007] Calculate the total carbon emissions according to the selected quantity of various types of vehicles and the carbon emission index of various types of vehicles;

[0008] When the total carbon emissions are greater than the 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 to obtain the target electric energy data;

[0009] Perform power dispatching according to the target electric energy data to provide electric energy for the production of e-fuels for the transportation field.

[0010] To achieve the above object, an embodiment of the present invention further provides a power dispatching device, including:

[0011] An information acquisition module, configured to acquire initial electric energy data, the selected quantity of various types of vehicles, and the carbon emission index of the various types of vehicles; wherein, the initial electric energy data is used to represent the preset initial electric energy provided for the production of e-fuels for the transportation field, the various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the e-fuel and a traditional fuel, the proportion of the e-fuel in the hybrid fuel is positively correlated with the electric energy provided for the production of the e-fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the hybrid fuel;

[0012] A carbon emission calculation module, configured to calculate the total carbon emission according to the selected quantity of the various types of vehicles and the carbon emission index of the various types of vehicles;

[0013] An electric energy data calculation module, configured to increase the initial electric energy data when the total carbon emission is greater than a set carbon emission threshold, so that the total carbon emission is less than or equal to the set carbon emission threshold, and obtain target electric energy data;

[0014] A power dispatching module, configured to perform power dispatching according to the target electric energy data to provide electric energy for the production of e-fuels for the transportation field.

[0015] To achieve the above object, an embodiment of the present invention further provides a power dispatching device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the power dispatching method described in any of the above embodiments is implemented.

[0016] To achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, the computer-readable storage medium includes a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the power dispatching method described in any of the above embodiments.

[0017] To achieve the above object, an embodiment of the present invention further provides a computer program product, including a computer program / instructions, and when the computer program / instructions are executed by a processor, the power dispatching method described in any of the above embodiments is implemented.

[0018] 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 electric energy data, the selected quantity of various types of vehicles, and the carbon emission index of various types of vehicles; wherein, the initial electric energy data is used to represent the initial electric energy preset for producing the electronic fuel for the transportation field, various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the electronic fuel and the traditional fuel, the proportion of the electronic fuel in the hybrid fuel is positively correlated with the electric energy provided for producing the electronic fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the hybrid fuel; then, calculate the total carbon emission according to the selected quantity of various types of vehicles and the carbon emission index of various types of vehicles; next, when the total carbon emission is greater than the set carbon emission threshold, increase the initial electric energy data so that the total carbon emission is less than or equal to the set carbon emission threshold to obtain the target electric energy data; finally, perform power dispatching according to the target electric energy data to provide electric energy for the production of the electronic fuel for the transportation field. It can be seen that the embodiments of the present invention calculate the carbon emission situation in the transportation field by obtaining the selected quantity of various types of vehicles and the carbon emission index, increase the initial electric energy data when the carbon emission is too large, and call more electric energy to produce more electronic fuel for the transportation field, so that the proportion of the electronic fuel in the transportation field increases, thereby reducing the carbon emission in the transportation field. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0020] Figure 1 It is a flowchart of a power dispatching method provided by an embodiment of the present invention;

[0021] Figure 2 It is a structural diagram of a power dispatching device provided by an embodiment of the present invention;

[0022] Figure 3 It is a structural diagram of a power dispatching device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0024] An embodiment of the present invention provides a power dispatching method. Refer to Figure 1 the flowchart of the power dispatching method shown. Specifically, the power dispatching method includes steps S1 to S4:

[0025] S1. Obtain initial electric energy data, the selected quantity of various types of vehicles, and the carbon emission index of various types of vehicles; wherein, the initial electric energy data is used to represent the preset initial electric energy provided for producing e-fuel for the transportation field, various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the e-fuel and traditional fuel, the proportion of the e-fuel in the hybrid fuel is positively correlated with the electric energy provided for producing e-fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the hybrid fuel.

[0026] It should be noted that the vehicles in this embodiment are powered by a hybrid fuel, which includes e-fuel and traditional fuel. The traditional fuel is generally gasoline. E-fuel is a liquid hydrocarbon chain fuel generated by catalytic reaction of H2 generated by electrolyzing water with CO2, and green electricity in the power grid needs to be used to generate e-fuel. Generally, the more electric energy is called, the greater the production of e-fuel, and the higher the proportion of e-fuel in the hybrid fuel. The carbon emission index is closely related to the vehicle's own performance and the proportion of e-fuel in the hybrid fuel. The higher the proportion of e-fuel, the less the carbon emission per unit mileage of the vehicle, and the smaller the carbon emission index.

[0027] S2. Calculate the total carbon emissions according to the selected quantity of various types of vehicles and the carbon emission index of various types of vehicles.

[0028] S3. When the total carbon emissions are greater than the 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 to obtain the target electric energy data.

[0029] Specifically, due to the insufficient maturity of the preparation process of e-fuels, the current cost of hydrogen production by electrolyzing water is relatively high, and the preparation process is more complex. At the same time, carbon capture technology is required, resulting in an even higher overall cost. Therefore, in the method, the initial proportion of e-fuels in the blended fuel can be preset in advance, and then the initial electrical energy to be called can be determined. Further, based on the initial proportion, combined with various vehicle characteristics and the total vehicle demand of the vehicle, the selected quantity of each type of vehicle is calculated, and then the total carbon emissions can be accurately calculated. When the total carbon emissions are too large, in order to reduce carbon emissions, it is necessary to increase the proportion of e-fuels in the blended fuel. Therefore, more electricity is called for the production of e-fuels, generating more e-fuels and increasing the proportion of e-fuels in the blended fuel, achieving the purpose of reducing carbon emissions in the transportation field.

[0030] It should be noted that the carbon emission threshold can be set according to the actual situation and is not limited herein.

[0031] S4. Perform power dispatching according to the target electrical energy data to provide electrical energy for the production of e-fuels used in the transportation field.

[0032] Compared with the prior art, the power dispatching method provided by the embodiment of the present invention first obtains the initial electrical energy data, the selected quantity of each type of vehicle, and the carbon emission index of each type of vehicle. Among them, the initial electrical energy data is used to represent the preset initial electrical energy provided for the production of e-fuels used in the transportation field. Each type of vehicle is powered by a blended fuel, and the blended fuel includes the e-fuel and the traditional fuel. The proportion of the e-fuel in the blended fuel is positively correlated with the electrical energy provided for the production of e-fuels used in the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the blended fuel. Then, the total carbon emissions are calculated according to the selected quantity of each type of vehicle and the carbon emission index of each type of vehicle. Next, when the total carbon emissions are greater than the set carbon emission threshold, the initial electrical energy data is increased so that the total carbon emissions are less than or equal to the set carbon emission threshold to obtain the target electrical energy data. Finally, power dispatching is performed according to the target electrical energy data to provide electrical energy for the production of e-fuels used in the transportation field. It can be seen that the embodiment of the present invention calculates the carbon emission situation in the transportation field by obtaining the selected quantity of each type of vehicle and the carbon emission index. When the carbon emissions are too large, the initial electrical energy data is increased, and more electrical energy is called to produce more e-fuels for the transportation field, increasing the proportion of e-fuels in the transportation field, thereby reducing the carbon emissions in the transportation field.

[0033] In a preferred embodiment, based on steps S1 to S4, the selected quantity of each type of vehicle is calculated through steps S11 to S13:

[0034] S11. Obtain the vehicle characteristics and total vehicle demand of various types of vehicles, and perform normalization processing on 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 carbon emission index.

[0035] Specifically, since the numerical ranges of different vehicle characteristics are different, and all vehicle characteristics need to be comprehensively considered subsequently to determine the selection probabilities of various types of vehicles, after obtaining multiple vehicle characteristics of various types of vehicles, it is necessary to perform normalization processing on each vehicle characteristic for subsequent calculation. For example, form a column of data for the production process complexity of various types of vehicles and change this column of data to the interval [0, 1]. Similarly, other vehicle characteristics can also be normalized with reference to the above normalization method.

[0036] S12. Perform weighted calculation on all the normalized characteristics of the first type of vehicle to obtain the selection probability of the first type of vehicle; wherein, the first type of vehicle is any one type of vehicle among the various types of vehicles.

[0037] Specifically, different types of vehicles have different vehicle characteristics, and these vehicle characteristics affect the market evolution trend of vehicles to varying degrees. Therefore, it is necessary to assign corresponding weight coefficients to each vehicle characteristic, and then comprehensively consider all vehicle characteristics to obtain the selection probabilities of various types of vehicles. It can be understood that the carbon emission index is related to the fuel consumption speed of the vehicle. Therefore, in addition to being able to reflect 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 additionally considered when calculating the selection probability of the vehicle, the absolute value of the weight coefficient of the carbon emission index can be appropriately increased to take this factor of power cost into account.

[0038] S13. Calculate the selected quantities of various types of vehicles according to the total vehicle demand and the selection probabilities of various types of vehicles.

[0039] It can be understood that the environmental friendliness of the vehicle, the production difficulty of the vehicle, and the safety of the vehicle will all affect the market evolution trend of the vehicle, and thus affect the final total carbon emissions.

[0040] The embodiment of the present invention determines the selection probabilities of various types of vehicles by obtaining multiple vehicle characteristics of various types of vehicles, and combines the total vehicle demand to determine the market evolution trend of various types of vehicles for accurate calculation of the total carbon emissions in the transportation field.

[0041] Furthermore, the complexity of the production process is positively correlated with the production duration required and the number of production processes; the production input cost is positively correlated with the scarcity of vehicle materials and the energy consumption in vehicle production; the carbon emission index is positively correlated with the carbon emissions per unit mileage of the vehicle, and the carbon emissions per unit mileage of the vehicle are calculated based on the carbon emissions per unit of the mixed fuel and the energy consumption per unit mileage of the vehicle.

[0042] Specifically, the complexity of the production process is set by comprehensively considering factors such as the production duration required and the number of production processes during vehicle production; the production input cost is set by comprehensively considering the scarcity of materials for preparing the vehicle and the energy consumption during vehicle production. The greater the scarcity of vehicle materials or the greater the energy consumption in vehicle production, the greater the production input cost. The carbon emission index of the vehicle is set based on the carbon emissions per unit mileage of the vehicle. Different types of vehicle engines will directly affect the fuel consumption speed, and thus affect the carbon emissions of the vehicle. Therefore, it is necessary to consider the energy consumption per unit mileage of the vehicle and the carbon emissions per unit of the mixed fuel to set the carbon emission index. It can be understood that the greater the carbon emissions per unit of the mixed fuel or the greater the energy consumption per unit mileage of the vehicle, the greater the carbon emissions per unit mileage of the vehicle, and thus the greater the carbon emission index. For example, the carbon emission index is set to be equal to the carbon emissions per unit of the mixed fuel multiplied by the energy consumption per unit mileage of the vehicle. It should be noted that the specific values of each vehicle characteristic can be set according to the actual situation under the condition of satisfying the above relationships, and are not limited here.

[0043] Furthermore, the weighted calculation of all the normalized characteristics of the first type of vehicle in step S12 to obtain the selection probability of the first type of vehicle includes:

[0044] Adding up each normalized characteristic of the first type of vehicle after multiplying it by the corresponding weight coefficient to obtain the selection probability of the first type of vehicle; among them, the weight coefficients of the production process complexity, the production input cost, and the carbon emission index are all negative numbers, and the weight coefficient of the safety performance index is a positive number;

[0045] The calculation of the selected quantity of each type of vehicle according to the total vehicle demand and the selection probability of each type of vehicle in step S13 includes:

[0046] Normalizing the selection probabilities of all the types of vehicles to obtain the normalized probabilities of all the types of vehicles;

[0047] Calculating the selected quantity of each type of vehicle according to the total vehicle demand and the normalized probabilities of all the types of vehicles.

[0048] Specifically, generally speaking, the higher the complexity of the production process, the lower the probability of a vehicle being selected. Therefore, the weight coefficient of the production process complexity is negative; the higher the production input cost, the lower the probability of a vehicle being selected. Therefore, the weight coefficient of the production input cost is negative; the higher the safety performance index, the higher the probability of a vehicle being selected. Therefore, the weight coefficient of the safety performance index is positive; the larger the carbon emission index, the lower the probability of a vehicle being selected. Therefore, the weight coefficient of the carbon emission index is negative.

[0049] It should be noted that from the specific calculation formula of the selection probability, the value of the selection probability is not necessarily limited to the range of 0 to 1. Therefore, before calculating the number of selected vehicles of each type, it is necessary to normalize the selection probability and map its value to the interval [0, 1]. In addition, the numerical values of the weight coefficients of each vehicle feature are set according to the actual situation and are not specifically limited here.

[0050] Optionally, the selection probability of each type of vehicle can also be calculated in the following way:

[0051] ;

[0052] ;

[0053] where is the probability that the consumer makes the th selection in the nested selection framework (i.e., the selection probability of vehicle ), represents all selections (i.e., the total number of vehicle types), is the cost utility of vehicle under the nested selection framework , is the sensitivity of a certain technology selection to cost in the current nested selection framework.

[0054] Calculate the cost utility of each item. The calculation methods include:

[0055] ;

[0056] where represents the value of the th attribute of a certain technology, which is related to technology , is the preset weight of the th attribute of technology .

[0057] In a preferred embodiment, the unit carbon emissions of the blended fuel include the carbon emissions generated during the combustion of the conventional fuel and the carbon emissions generated during the production of the e-fuel per unit of the blended fuel.

[0058] Specifically, the unit carbon emissions of the blended fuel include the carbon emissions of the e-fuel and the carbon emissions of the conventional fuel. The carbon emission calculation formula for the blended fuel is as follows:

[0059] ;

[0060] Wherein, represents the unit carbon emissions of the blended fuel, represents the proportion of the e-fuel in the blended fuel, represents the unit carbon emissions of the e-fuel, represents the unit carbon emissions of the conventional fuel.

[0061] It should be noted that the carbon neutrality characteristic of the e-fuel determines that the carbon emissions brought by the e-fuel are generated during the production process of the e-fuel. The unit carbon emissions of the e-fuel refer to the carbon emissions of the green electricity consumed per unit of the e-fuel generated.

[0062] In a preferred embodiment, based on steps S1 to S4, the initial electrical energy data is calculated in the following manner:

[0063] Obtain the cost decline factor of the e-fuel, the proportion increase factor of the e-fuel, the known unit cost of the e-fuel in the specified year, and the known proportion of the e-fuel in the blended fuel in the specified year;

[0064] Calculate the unit cost of the e-fuel in the year to be estimated based on the known unit cost and the cost decline factor of the e-fuel; wherein, the specified year is the previous year of the year to be estimated;

[0065] Add the known proportion and the proportion increase factor of the e-fuel to obtain the ideal proportion of the e-fuel in the blended fuel in the year to be estimated;

[0066] Multiply the unit cost of the e-fuel in the year to be estimated, the ideal proportion, and a preset proportion influence factor to obtain the initial proportion of the e-fuel in the blended fuel in the year to be estimated;

[0067] Calculate the initial daily demand of the e-fuel based on the initial proportion, the selected quantity of each type of vehicle, and the daily consumption of the blended fuel of each type of vehicle obtained;

[0068] Calculate the initial electrical energy data according to the initial daily demand of the e - fuel and the energy conversion efficiency when obtaining the electrical power to produce the e - fuel.

[0069] It should be noted that the preparation of e - fuel is based on green hydrogen. Currently, the cost of hydrogen production by electrolyzing water is relatively high, and the preparation process is more complex. At the same time, carbon capture technology is required, resulting in a higher overall cost. However, with the large - scale development of green electricity and the maturity of carbon capture technology, the cost of e - fuel will gradually decline. Therefore, as the number of years increases, the initial proportion of e - fuel in the blended fuel will also increase.

[0070] The formula for calculating the initial proportion of e - fuel in the blended fuel is as follows:

[0071] ;

[0072] Where, is the initial proportion of e - fuel in the blended fuel for the year to be estimated; is the proportion of the previous year, that is, the known proportion of e - fuel in the blended fuel in the specified year; is the initial proportion of e - fuel in the blended fuel in the year when the cost starts to decline; is the initial proportion of e - fuel in the blended fuel in the year when the cost decline ends; is the proportion increase factor of e - fuel; is related to the price is the proportion impact factor.

[0073] The calculation formula is as follows:

[0074] ;

[0075] Where, is the price of e - fuel for the year to be estimated, that is, the unit cost of e - fuel in the year to be estimated; is the price of e - fuel in the previous year, that is, the known unit cost of e - fuel in the specified year; is the year when the cost starts to decline, is the corresponding price in the year when the cost starts to decline; is the year when the e - fuel cost decline ends, is the corresponding price in the year when the cost decline ends; is the cost decline factor of e - fuel.

[0076] The cost calculation method of the blended fuel is:

[0077] ;

[0078] Where, Represents the price of the blended fuel, Represents the price of the conventional fuel.

[0079] After determining the initial proportion of e - fuel in the blended fuel for the year to be predicted through the above formula, obtain the daily consumption of the blended fuel for various types of vehicles; respectively calculate the daily consumption of e - fuel for various types of vehicles according to the daily consumption of the blended fuel for various types of vehicles and the initial proportion of e - fuel in the blended fuel for the year to be predicted; respectively multiply the daily consumption of e - fuel for various types of vehicles by the selected quantity of the corresponding vehicle and then sum them up to obtain the initial daily demand for e - fuel; combine the initial daily demand for e - fuel and the energy conversion efficiency when producing e - fuel from electricity obtained in advance to calculate the initial electrical energy data for producing e - fuel sold to the transportation sector. If the power dispatching based on the initial electrical energy data can make the produced e - fuel meet the carbon emission requirements of the transportation sector, that is, the total carbon emission is less than or equal to the set carbon emission threshold, then the power dispatching can be carried out according to the initial electrical energy data to provide electrical energy for the production of e - fuel used in the transportation sector.

[0080] It should be noted that the start year of cost reduction is before the year to be predicted, and the end year of cost reduction is after the year to be predicted. The end year of cost reduction can be speculated based on the current e - fuel preparation technology, according to the specific year when the preparation technology is completely mature and the initial proportion of e - fuel in the blended fuel when the preparation technology is completely mature.

[0081] Furthermore, the method further includes:

[0082] Construct a minimum - cost objective function:

[0083] ;

[0084] Wherein, is the total production cost of the e - fuel, is the electricity purchase cost, is the infrastructure cost, is the direct air carbon capture cost, is the water purchase cost required for electrolyzing water, is the sales revenue of the e - fuel;

[0085] ;

[0086] ;

[0087] Wherein, is the time period , is the time period is the conversion coefficient of the value of the power supply quantity in the time period is the time period The power supply of the lower power grid is the set of all time periods is the time period The purchased electricity is greater than or equal to 0 and less than or equal to ;

[0088] ;

[0089] Among them, is the cost of the electrolyzer, and the cost of the electrolyzer is related to the material, electrolysis performance and electrolysis efficiency of the electrolyzer; is the cost of the memory required in the production process of the electronic fuel; is the transportation cost, and the transportation cost is related to factors such as transportation time, transportation measures taken during transportation and transportation distance; is the cost of the carbon capture infrastructure, and the cost of the carbon capture infrastructure is related to factors such as the maturity of carbon capture technology; is the cost of the fuel cell device;

[0090] ;

[0091] Among them, is the amount of carbon captured is the capture cost per unit of carbon;

[0092] ;

[0093] Among them, is the amount of water purchased is the cost per unit of water;

[0094] ;

[0095] Among them, is the amount of the electronic fuel sold to the transportation field is the price of the electronic fuel sold to the transportation field is the amount of the electronic fuel that is reversely transmitted to the power grid through the fuel cell is the price of the electronic fuel that is reversely transmitted to the power grid through the fuel cell;

[0096] ;

[0097] ;

[0098] ;

[0099] Among them, is the amount of the electronic fuel generated is the water consumption ratio factor, is the carbon consumption ratio factor, is the power consumption ratio factor.

[0100] ;

[0101] ;

[0102] ;

[0103] ;

[0104] wherein, is the fuel ratio factor, is the reverse power transmission ratio factor;

[0105] Under the set production constraint conditions, solve the minimum cost objective function to obtain the optimal production volume of the e - fuel, the optimal production volume of the e - fuel as vehicle fuel, and the optimal production volume of the e - fuel as grid energy storage; wherein, the production constraint condition is that the quantity of the e - fuel sold to the transportation field is greater than or equal to the initial daily demand of the e - fuel;

[0106] Calculate the initial electric energy data according to the initial daily demand of the e - fuel and the energy conversion efficiency when obtaining electric power to produce the e - fuel, including:

[0107] Calculate the total electric energy data according to the optimal production volume of the e - fuel and the energy conversion efficiency when obtaining electric power to produce the e - fuel; wherein, the total electric energy data includes the initial electric energy data for producing the e - fuel for the transportation field and the electric energy data for producing the e - fuel as grid energy storage.

[0108] Specifically, under the constraint that the quantity of the e - fuel sold to the transportation field is greater than or equal to the initial daily demand of the e - fuel, construct a minimum cost objective function considering factors such as the electricity purchase cost, infrastructure cost, direct air carbon capture cost, water purchase cost required for electrolysis of water, and the sales revenue of the e - fuel. Among them, the sales revenue of the e - fuel includes the revenue from selling the e - fuel to the transportation field and the revenue from reverse power transmission to the grid through the fuel cell. By solving the minimum cost objective function, the optimal production volume of the e - fuel, the optimal production volume of the e - fuel as vehicle fuel, and the optimal production volume of the e - fuel as grid energy storage are obtained. Finally, combined with the energy conversion efficiency when producing the e - fuel with electric power, the initial total electric energy data for producing the e - fuel is calculated.

[0109] It is understandable that the e - fuels sold to the transportation sector power vehicles together with traditional fuels; the optimal production volume of e - fuels is the sum of the optimal production volume of e - fuels as vehicle fuels and the optimal production volume of e - fuels as grid energy storage. If power dispatching based on the initial electrical energy data can make the produced e - fuels meet the carbon emission requirements in 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 carried out according to the initial total electrical energy data to produce e - fuels, and the produced e - fuels are sold to the transportation sector and the energy storage sector respectively, achieving the goal of minimizing costs.

[0110] Compared with the prior art, the power dispatching method provided by the embodiments of the present invention first obtains the initial electrical energy data, the selected quantity of various types of vehicles, and the carbon emission index of various types of vehicles; wherein, the initial electrical energy data is used to represent the preset initial electrical energy provided for the production of e - fuels for the transportation sector, various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the e - fuels and traditional fuels, the proportion of the e - fuels in the hybrid fuel is positively correlated with the electrical energy provided for the production of e - fuels for the transportation sector, and the carbon emission index is positively correlated with the unit carbon emission of the hybrid fuel; then, the total carbon emissions are calculated according to the selected quantity of various types of vehicles and the carbon emission index of various types of vehicles; next, when the total carbon emissions are greater than the set carbon emission threshold, the initial electrical energy data is increased so that the total carbon emissions are less than or equal to the set carbon emission threshold to obtain the target electrical energy data; finally, power dispatching is carried out according to the target electrical energy data to provide electrical energy for the production of e - fuels for the transportation sector. It can be seen that the embodiments of the present invention calculate the carbon emission situation in the transportation sector by obtaining the selected quantity of various types of vehicles and the carbon emission index, increase the initial electrical energy data when the carbon emissions are too large, and call more electrical energy to produce more e - fuels for the transportation sector, so that the proportion of e - fuels in the transportation sector increases, thereby reducing the carbon emissions in the transportation sector.

[0111] See Figure 2 , Figure 2 The following is a power dispatching device provided by the embodiments of the present invention. The power dispatching device includes:

[0112] An information acquisition module 21 is configured to acquire initial power data, the selected quantity of various types of vehicles, and the carbon emission index of the various types of vehicles; wherein, the initial power data is used to represent the preset initial power provided for producing e-fuels for the transportation field, the various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the e-fuel and a traditional fuel, the proportion of the e-fuel in the hybrid fuel is positively correlated with the power provided for producing the e-fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the hybrid fuel;

[0113] A carbon emission calculation module 22 is configured to calculate the total carbon emissions according to the selected quantity of the various types of vehicles and the carbon emission index of the various types of vehicles;

[0114] A power data calculation module 23 is configured to increase the initial power data when the total carbon emissions are greater than a set carbon emission threshold, so that the total carbon emissions are less than or equal to the set carbon emission threshold, and obtain target power data;

[0115] A power dispatch module 24 is configured to perform power dispatch according to the target power data and provide power for the production of e-fuels for the transportation field.

[0116] It should be noted that the working principle of the power dispatch device provided in the above embodiment can refer to the working process of the power dispatch method provided in any of the above embodiments, which will not be elaborated here.

[0117] Compared with the prior art, the device provided by the embodiment of the present invention first obtains initial power data, the selected quantity of various types of vehicles, and the carbon emission index of the various types of vehicles; wherein, the initial power data is used to represent the preset initial power provided for producing e-fuels for the transportation field, the various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the e-fuel and a traditional fuel, and the proportion of the e-fuel in the hybrid fuel is positively correlated with the power provided for producing the e-fuel for the transportation field; the carbon emission index is positively correlated with the unit carbon emission of the hybrid fuel; then, the total carbon emission is calculated according to the selected quantity of the various types of vehicles and the carbon emission index of the various types of vehicles; next, when the total carbon emission is greater than a set carbon emission threshold, the initial power data is increased so that the total carbon emission is less than or equal to the set carbon emission threshold to obtain target power data; finally, power dispatching is performed according to the target power data to provide power for the production of e-fuels for the transportation field. It can be seen that the embodiment of the present invention calculates the carbon emission situation in the transportation field by obtaining the selected quantity of various types of vehicles and the carbon emission index, increases the initial power data when the carbon emission is too large, and calls more power to produce more e-fuels for the transportation field, so that the proportion of e-fuels in the transportation field increases, thereby reducing the carbon emission in the transportation field.

[0118] See 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 power dispatching method embodiment as described above are implemented, such as Figure 1 S1 to S4 in; or, when the processor 31 executes the computer program, the functions of each module in the above device embodiments are implemented.

[0119] Exemplarily, the computer program can be divided into one or more modules, and the one or more modules are stored in the memory 32 and executed by the processor 31 to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the power dispatching device. For example, the computer program can be divided into multiple modules, and each module is used to execute the specific steps in the method described in any of the above embodiments.

[0120] The power dispatching device may be a computing device such as a desktop computer, a notebook, a palm computer, or a cloud server. The power dispatching device may include, but is not limited to, a processor 31 and a memory 32. Those skilled in the art can understand that the power dispatching device may further include input / output devices, network access devices, a bus, etc.

[0121] The processor 31 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor 31 is the control center of the power dispatching device, and connects various parts of the entire power dispatching device through various interfaces and lines.

[0122] The memory 32 can be used to store the computer programs and / or modules. The processor 31 realizes various functions of the power dispatching device by running or executing the computer programs and / or modules stored in the memory 32, and by calling the data stored in the memory 32. The memory 32 may mainly include a program storage area and a data storage area. Among them, the program storage area may store an operating system, application programs required for at least one function (such as an image playback function, etc.); the data storage area may store data created according to the use of the mobile phone, etc. In addition, the memory 32 may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0123] Among them, if the modules integrated in the power dispatching device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by instructing 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 various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate forms, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0124] An embodiment of the present invention also provides a computer program product, including a computer program / instructions. When the computer program / instructions are executed by a processor, the power dispatching method described in any of the above embodiments is implemented.

[0125] The above is the preferred implementation manner of the present invention. It should be noted that for those of ordinary skill in the art in the technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A power dispatching method, characterized in that, Including: Obtain initial electric energy data, the selected quantity of various types of vehicles, and the carbon emission index of various types of vehicles; wherein, the initial electric energy data is used to represent the preset initial electric energy provided for producing e-fuels for the transportation field, various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the e-fuel and a traditional fuel, and the proportion of the e-fuel in the hybrid fuel is positively correlated with the electric energy provided for producing the e-fuel for the transportation field, and the carbon emission index is positively correlated with the unit carbon emission of the hybrid fuel; Calculate the total carbon emissions according to the selected quantity of various types of vehicles and the carbon emission index of various types of vehicles; When the total carbon emissions are greater than the 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 to obtain the target electric energy data; Conduct power dispatching according to the target electric energy data to provide electric energy for the production of e-fuels for the transportation field; The initial electric energy data is calculated by the following method: Obtain the cost decline factor of the e-fuel, the proportion increase factor of the e-fuel, the known unit cost of the e-fuel in a specified year, and the known proportion of the e-fuel in the hybrid fuel in the specified year; Calculate the unit cost of the e-fuel in the year to be estimated according to the known unit cost and the cost decline factor of the e-fuel; wherein, the specified year is the previous year of the year to be estimated; Add the known proportion and the proportion increase factor of the e-fuel to obtain the ideal proportion of the e-fuel in the hybrid fuel in the year to be estimated; Multiply the unit cost of the e-fuel in the year to be estimated, the ideal proportion, and a preset proportion influence factor to obtain the initial proportion of the e-fuel in the hybrid fuel in the year to be estimated; Calculate the initial daily demand of the e-fuel according to the initial proportion, the selected quantity of various types of vehicles, and the daily consumption of the hybrid fuel of various types of vehicles obtained; Calculate the initial electric energy data according to the initial daily demand of the e-fuel and the energy conversion efficiency when using electric energy to produce the e-fuel obtained; 2. The power dispatching method according to claim 1, wherein, The selected quantity of various types of vehicles is calculated by the following method: Obtain the vehicle characteristics and the total vehicle demand of various types of vehicles, and perform normalization processing on 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; Perform weighted calculation on all the normalized characteristics of the first type of vehicle to obtain the selection probability of the first type of vehicle; wherein, the first type of vehicle is any one type of vehicle among various types of vehicles; Calculate the selected quantity of various types of vehicles according to the total vehicle demand and the selection probability of various types of vehicles.

3. The power dispatching method according to claim 2, characterized in that The complexity of the production process is positively correlated with the production duration required 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 carbon emission per unit mileage of the vehicle, and the carbon emission per unit mileage of the vehicle is calculated based on the carbon emission per unit of the hybrid fuel and the energy consumption per unit mileage of the vehicle.

4. The power dispatching method according to claim 1, characterized in that, The carbon emission per unit of the hybrid fuel includes the carbon emission generated during the combustion of the traditional fuel and the carbon emission generated during the production of the e - fuel per unit of the hybrid fuel.

5. The power dispatching method according to claim 1, characterized in that The method further includes: Constructing a minimum - cost objective function: ； Among them, is the total production cost of the e - fuel, is the electricity purchase cost, is the infrastructure cost, is the direct air carbon capture cost, is the water purchase cost required for electrolyzing water, is the sales revenue of the e - fuel; ； ； Among them, is the time period , is the power supply quantity value conversion coefficient for the time period , is the power supply quantity of the power grid for the time period , is the set of all time periods is the power quantity purchased for the time period , is greater than or equal to 0 and less than or equal to ; ； Among them, is the cost of the electrolyzer, is the cost of the memory required in the production process of the electronic fuel, is the transportation cost, is the cost of the carbon capture infrastructure, is the cost of the fuel cell device; ； wherein, is the amount of carbon captured, is the capture cost per unit of carbon; ； Among them, is the quantity of water purchased, is the cost per unit of water; ； Among them, is the quantity of the e - fuel sold to the transportation sector, is the price of the e - fuel sold to the transportation sector, is the quantity of the e - fuel that is reversely supplied to the power grid through a fuel cell, is the price of the e - fuel that is reversely supplied to the power grid through a fuel cell; ； ； ； Wherein, is the quantity of the generated e - fuel, is the water consumption ratio factor, is the carbon consumption ratio factor, is the power consumption ratio factor; ； ； ； ； Among them, is the fuel ratio factor, is the reverse power transmission ratio factor; Under the set production - quantity constraint conditions, solving the minimum - cost objective function to obtain the optimal production quantity of the e - fuel, the optimal production quantity of the e - fuel as vehicle fuel, and the optimal production quantity of the e - fuel as grid energy storage; wherein, the production - quantity constraint condition is that the quantity of the e - fuel sold to the transportation field is greater than or equal to the initial daily demand of the e - fuel. Calculating the initial electric - energy data according to the initial daily demand of the e - fuel and the energy - conversion efficiency when obtaining electric power to produce the e - fuel, including: Calculating the total electric - energy data according to the optimal production quantity of the e - fuel and the energy - conversion efficiency when obtaining electric power to produce the e - fuel; wherein, the total electric - energy data includes the initial electric - energy data for producing the e - fuel used in the transportation field and the electric - energy data for producing the e - fuel used as grid energy storage.

6. A power dispatching device, characterized in that Including: An information - acquisition module, configured to acquire the initial electric - energy data, the selected quantity of various types of vehicles, and the carbon - emission index of various types of vehicles; wherein, the initial electric - energy data is used to represent the preset initial electric energy provided for producing the e - fuel used in the transportation field, various types of vehicles are powered by a hybrid fuel, the hybrid fuel includes the e - fuel and the traditional fuel, the proportion of the e - fuel in the hybrid fuel is positively correlated with the electric energy provided for producing the e - fuel used in the transportation field, and the carbon - emission index is positively correlated with the carbon emission per unit of the hybrid fuel. A carbon - emission calculation module, configured to calculate the total carbon emissions according to the selected quantity of various types of vehicles and the carbon - emission index of various types of vehicles. An electric - energy data calculation module, configured to increase the initial electric - energy data when the total carbon emissions are greater than the set carbon - emission threshold, so that the total carbon emissions are less than or equal to the set carbon - emission threshold, and obtain the target electric - energy data. A power - dispatch module, configured to perform power dispatch according to the target electric - energy data to provide electric energy for the production of the e - fuel used in the transportation field. Wherein, the initial electric - energy data is calculated by the following method: Obtaining the cost - decline factor of the e - fuel, the proportion - increase factor of the e - fuel, the known unit cost of the e - fuel in a specified year, and the known proportion of the e - fuel in the hybrid fuel in the specified year. Calculate the unit cost of the e - fuel in the year to be estimated based on the known unit cost and the cost decline factor of the e - fuel; wherein, the specified year is the previous year of the year to be estimated. Add the known proportion and the proportion increase factor of the e - fuel to obtain the ideal proportion of the e - fuel in the blended fuel in the year to be estimated. Multiply the unit cost of the e - fuel in the year to be estimated, the ideal proportion, and a preset proportion influence factor to obtain the initial proportion of the e - fuel in the blended fuel in the year to be estimated. Calculate the initial daily demand of the e - fuel based on the initial proportion, the selected quantity of each type of vehicle, and the daily consumption of the blended fuel of each type of vehicle obtained. Calculate the initial electric energy data based on the initial daily demand of the e - fuel and the energy conversion efficiency when using electricity to produce the e - fuel obtained.

7. A power dispatching device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the power scheduling method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer - readable storage medium includes a stored computer program. When the computer program runs, it controls the device where the computer - readable storage medium is located to execute the power scheduling method according to any one of claims 1 to 5.

9. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, it implements the power scheduling method according to any one of claims 1 to 5.

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