A method, device and equipment for determining a hydrogen scheduling plan

Abstract

The embodiments of this specification provide a method, device and equipment for determining a hydrogen scheduling scheme, wherein the method includes: obtaining a parameter information set of a target system in a target scheduling period; wherein the target system includes a hydrogen supply device, a hydrogenation device and a hydrogen pipeline network; based on the parameter information set, determining the expected hydrogen consumption of the hydrogenation device in the target scheduling period; according to the expected hydrogen consumption, determining the hydrogen scheduling scheme of the target scheduling period using a nonlinear programming algorithm; wherein the hydrogen scheduling scheme is used to characterize the hydrogen production strategy of the hydrogen supply device in the target scheduling period and the flow rate of the hydrogen pipeline network. In the embodiments of this specification, the load of the hydrogen supply device can be reduced while meeting the hydrogen demand of the hydrogenation device, and the capacity of the hydrogen pipeline network can be ensured to be within a reasonable range, thereby reducing the venting of hydrogen resources and achieving the purpose of minimizing the operating cost of the target system within the target scheduling period.

Description

Technical Field

[0001] The embodiments of this specification relate to the technical field of hydrogen resource optimization, and in particular to a method, device and equipment for determining a hydrogen scheduling plan. Background Art

[0002] At present, the composition of crude oil is gradually tending to be heavier and inferior. In order to adapt to the changes in the crude oil market, the processing volume of heavy and inferior crude oil of oil refineries is increasing. At the same time, with the improvement of environmental awareness, governments of various countries have also introduced strict environmental laws and national standards to stipulate the quality standards of oil products. In order to achieve the lightness of heavy oil and meet the emission standards of oil products, the hydrogenation ratio of oil refineries is increasing, and the demand for hydrogen has increased significantly. Under the situation of increasing hydrogen demand and shortage of hydrogen resources in oil refineries, it is of great significance to reduce hydrogen consumption, make full use of the hydrogen resources of refineries, and optimize the scheduling of hydrogen systems of oil refineries.

[0003] The existing technology mainly focuses on optimizing hydrogen production, use and recovery to maximize benefits. However, the existing technical methods cannot accurately optimize the hydrogen system scheduling of refineries based on the hydrogen consumption of the hydrogenation unit.

[0004] Currently, no effective solution has been proposed to the above problems. Summary of the invention

[0005] The embodiments of this specification provide a method, device and equipment for determining a hydrogen scheduling plan to solve the problem in the prior art that it is impossible to accurately optimize the scheduling of the hydrogen system of an oil refinery based on the hydrogen consumption of the hydrogenation unit.

[0006] The embodiments of this specification provide a method for determining a hydrogen scheduling scheme, comprising: obtaining a parameter information set of a target system in a target scheduling period; wherein the parameter information set includes parameter information of a hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device, and a hydrogen pipeline network; based on the parameter information set, determining an expected hydrogen consumption of the hydrogenation device in the target scheduling period; based on the expected hydrogen consumption, determining a hydrogen scheduling scheme for the target scheduling period using a nonlinear programming algorithm; wherein the hydrogen scheduling scheme is used to characterize the hydrogen production strategy of the hydrogen supply device in the target scheduling period and the flow rate of the hydrogen pipeline network.

[0007] The embodiments of this specification also provide a device for determining a hydrogen scheduling scheme, comprising: an acquisition module, used to acquire a parameter information set of a target system in a target scheduling period; wherein the parameter information set includes parameter information of a hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device and a hydrogen pipeline network; a first determination module, used to determine an expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set; a second determination model, used to determine the hydrogen scheduling scheme of the target scheduling period using a nonlinear programming algorithm based on the expected hydrogen consumption; wherein the hydrogen scheduling scheme is used to characterize the hydrogen production strategy of the hydrogen supply device in the target scheduling period and the flow rate of the hydrogen pipeline network.

[0008] The embodiments of the present specification also provide a device for determining a hydrogen scheduling scheme, including a processor and a memory for storing processor executable instructions, wherein the processor implements the steps of the method for determining the hydrogen scheduling scheme when executing the instructions.

[0009] The embodiments of this specification provide a method for determining a hydrogen scheduling scheme, which can determine the expected hydrogen consumption of the hydrogenation unit in the target scheduling period by obtaining the parameter information set of the target system in the target scheduling period. Among them, the parameter information set can include parameter information of the hydrogenation unit, and the target system can include a hydrogen supply unit, a hydrogenation unit, and a hydrogen pipeline network. Furthermore, in order to reduce the load of the hydrogen supply unit on the basis of meeting the hydrogen demand of the hydrogenation unit, and to ensure that the capacity of the hydrogen pipeline network is within a reasonable range and reduce the venting of hydrogen resources, the hydrogen scheduling scheme of the target scheduling period can be determined based on the expected hydrogen consumption using a nonlinear programming algorithm, wherein the above-mentioned hydrogen scheduling scheme can be used to characterize the hydrogen production strategy of the hydrogen supply unit in the target scheduling period and the flow rate of the hydrogen pipeline network. Thereby, the normal and stable operation of the hydrogenation unit and the hydrogen supply unit can be ensured, the waste of hydrogen resources can be avoided, and the purpose of minimizing the operating cost of the target system within the target scheduling period is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The drawings described herein are used to provide a further understanding of the embodiments of this specification, constitute a part of the embodiments of this specification, and do not constitute a limitation of the embodiments of this specification. In the drawings:

[0011] Figure 1 It is a schematic diagram of the steps of a method for determining a hydrogen scheduling scheme provided in an embodiment of this specification;

[0012] Figure 2 is a schematic diagram of a target system provided according to a specific embodiment of the embodiment of this specification;

[0013] Figure 3 It is a structural schematic diagram of a device for determining a hydrogen scheduling scheme according to an embodiment of this specification;

[0014] Figure 4 It is a structural schematic diagram of a device for determining a hydrogen scheduling scheme according to an embodiment of this specification. DETAILED DESCRIPTION

[0015] The principles and spirit of the embodiments of this specification will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and implement the embodiments of this specification, and are not intended to limit the scope of the embodiments of this specification in any way. On the contrary, these embodiments are provided to make the disclosure of the embodiments of this specification more thorough and complete, and to fully convey the scope of the disclosure to those skilled in the art.

[0016] Those skilled in the art know that the implementation of the embodiments of this specification can be implemented as a system, device, method or computer program product. Therefore, the embodiments disclosed in this specification can be specifically implemented in the following forms, namely: complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0017] Although the processes described below include multiple operations that occur in a particular order, it should be clear that these processes may include more or fewer operations, and that the operations may be performed sequentially or in parallel (eg, using parallel processors or a multi-threaded environment).

[0018] See also Figure 1 This embodiment can provide a method for determining a hydrogen scheduling scheme. The method for determining a hydrogen scheduling scheme can be used to determine a hydrogen scheduling scheme that meets the hydrogen demand of a hydrogenation device based on target cycle hydrogen consumption forecast data using a nonlinear programming algorithm, thereby reducing the load of a hydrogen supply device on the basis of meeting the hydrogen demand of a hydrogenation device, thereby achieving the purpose of saving hydrogen and reducing emissions. The above-mentioned method for determining a hydrogen scheduling scheme can include the following steps.

[0019] S101: Obtain a parameter information set of a target system in a target scheduling period; wherein the parameter information set includes parameter information of a hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device, and a hydrogen pipeline network.

[0020] In this embodiment, the parameter information set of the target system in the target scheduling period can be obtained, wherein the parameter information set can include parameter information for characterizing the hydrogenation unit, such as: the type of hydrogenation unit (hydrogenation refining, hydrocracking), the supplementary hydrogen flow rate of the hydrogenation unit, the inlet hydrogen concentration requirement of the hydrogenation unit, etc. Of course, it can be understood that the parameter information set can also include other parameter information, such as: attribute parameters of the hydrogen supply unit, attribute parameters of the hydrogen pipeline network, etc., which can be determined according to actual conditions, and this specification embodiment does not limit this.

[0021] In this embodiment, the target system may be an operating oil refinery, which may also be referred to as an oil refinery hydrogen system. Figure 2 As shown in , the target system may include at least one hydrogen supply device, at least one hydrogenation device and a hydrogen pipeline network. Among them, the hydrogen supply device may include: a hydrogen supply device (Hydrogen Utility, H2 Plant) and a continuous catalytic reforming device (RF) with by-product hydrogen, and the hydrogen supply device may include: a hydrocracking unit (HC), a diesel hydrofining unit (HT1 and HT2), C1, C2, and C3 may represent the hydrogen consumption of the hydrocracking unit and the diesel hydrofining unit respectively, and the hydrogen concentration produced by the hydrogen supply device may meet the minimum concentration requirement of the hydrogenation unit for imported hydrogen. Among them, the hydrogen supply device may be a continuous catalytic reforming unit, an ethylene plant, a fertilizer plant, etc., and the above-mentioned hydrogen pipeline network may be a pipeline network for transporting hydrogen.

[0022] In this embodiment, the hydrogen supply device produces a hydrogen-rich stream with a fixed outlet pressure and hydrogen concentration, which is then injected into the hydrogen pipeline network, and the hydrogen pipeline network supplies hydrogen to each hydrogen supply device. If the hydrogen supply device supplies too much hydrogen, the hydrogen pipeline network capacity will exceed the limit. In order to ensure the safe operation of the device, the excess hydrogen will be forced to be vented, which will cause a great waste of hydrogen resources. If the hydrogen supply of the hydrogen supply device is insufficient to meet the hydrogen demand of the hydrogen supply device, the gas in the hydrogen pipeline network will gradually decrease or even fall below the lower limit of the capacity, and the quality of the hydrogenation product of the hydrogen-consuming device will also be affected.

[0023] In this embodiment, since the oil refining process is divided into multiple stages, and the raw oil used in each oil refining will also be different, the oil refining process can be divided into multiple cycles, and the target cycle can be the current cycle or the next cycle of the current cycle, which can be determined according to actual conditions, and the embodiments of this specification do not limit this. The length of the above-mentioned target cycle can be 3 hours, 12 hours, or 1 week, etc., which can be determined according to the length of a refining, the frequency of raw oil replacement, the frequency of parameter information update, etc., which can be determined according to actual conditions, and the embodiments of this specification do not limit this.

[0024] In this embodiment, the method of obtaining the parameter information set of the target system in the target scheduling period may include: obtaining it from a preset database, or receiving the parameter information set input by the user. Of course, it can be understood that other possible methods can also be used to obtain the above sample data set, for example, searching for the parameter information set according to certain search conditions in a web page, which can be determined according to actual conditions, and this embodiment of the specification does not limit this.

[0025] S102: Determine the expected hydrogen consumption of the hydrogenation unit in the target scheduling period based on the parameter information set.

[0026] In this embodiment, since the parameter information set records the parameter information characterizing the hydrogenation device, the expected hydrogen consumption of the hydrogenation device in the target scheduling period can be determined based on the parameter information set. The expected hydrogen consumption can be the total amount of hydrogen expected to be required by the hydrogenation device in the target scheduling period.

[0027] In this embodiment, the expected hydrogen consumption of the hydrogenation unit in the target scheduling period can be determined by using a reaction mechanism model, a deep learning model or a data fitting method. Of course, the method of determining the expected hydrogen consumption of the hydrogenation unit in the target scheduling period is not limited to the above examples. Technical personnel in the relevant field may make other changes inspired by the technical essence of the embodiments of this specification, but as long as the functions and effects achieved are the same or similar to those of the embodiments of this specification, they should be covered within the protection scope of the embodiments of this specification.

[0028] S103: Determine a hydrogen scheduling plan for a target scheduling period using a nonlinear programming algorithm based on expected hydrogen consumption; wherein the hydrogen scheduling plan is used to characterize the hydrogen production strategy of the hydrogen supply device and the flow rate of the hydrogen pipeline network during the target scheduling period.

[0029] In this embodiment, a hydrogen scheduling plan for a target scheduling period can be determined based on expected hydrogen consumption using a nonlinear programming algorithm; wherein the hydrogen scheduling plan can be used to characterize the hydrogen production strategy of the hydrogen supply device and the flow rate of the hydrogen pipeline network during the target scheduling period.

[0030] In the present embodiment, nonlinear programming is a mathematical programming with nonlinear constraints or objective functions, and is an important branch of operations research. Nonlinear programming studies the extreme value problem of an n-dimensional real function under the constraints of a set of equations or inequalities, and at least one of the objective function and the constraints is a nonlinear function of an unknown quantity. In some embodiments, a planning solver can be called to realize the solution of a linear programming algorithm. The above-mentioned planning solver can be a solver for solving nonlinear problems using a nonlinear programming algorithm, and the above-mentioned planning solver can include: BARON (branch reduction optimization navigation), DICOPT, SCIP. Of course, it can be understood that the above-mentioned planning solver can also be other possible solvers, such as: MINLP (mixed integer nonlinear programming) solver, etc., which can be specifically determined according to actual conditions, and the embodiments of this specification do not limit this. Among them, DICOPT is a framework for solving mixed integer nonlinear programming models, and SCIP (Solving Constraint Integer Programs) is an open source planning problem solver that can solve MIP (mixed integer) and MINLP (nonlinear mixed integer) problems.

[0031] In this embodiment, if the hydrogen supply of the hydrogen supply device is too much, the hydrogen pipeline network capacity will exceed the limit. In order to ensure the safe operation of the device, the excess hydrogen will be forced to be vented, which will cause a great waste of hydrogen resources. If the hydrogen supply of the hydrogen supply device is not enough to meet the hydrogen demand of the hydrogen supply device, the gas in the hydrogen pipeline network will gradually decrease or even fall below the lower limit of the capacity, and the quality of the hydrogenation product of the hydrogen-consuming device will also be affected. Therefore, according to the expected hydrogen consumption of the hydrogenation device in the target scheduling period, the hydrogen production strategy of the hydrogenation device in the target scheduling period and the flow rate of the hydrogen pipeline network in the target scheduling period can be reasonably planned using a nonlinear programming algorithm, so that the load of the hydrogenation device can be reduced on the basis of meeting the hydrogen demand of the hydrogenation device, and the capacity of the hydrogen pipeline network can be ensured to be within a reasonable range, reducing the venting of hydrogen resources. In addition, the normal and stable operation of the hydrogenation device and the hydrogen supply device can be ensured, and the waste of hydrogen resources can be avoided, so as to achieve the purpose of minimizing the operating cost of the target system within the target scheduling period.

[0032] In this embodiment, the hydrogen scheduling scheme of the target scheduling period may include: the expected hydrogen consumption of the hydrogenation device in the target scheduling period, the hydrogen production of the hydrogen supply device in the target scheduling period, and the flow rate of the hydrogen pipeline network. Of course, it is understandable that the hydrogen scheduling scheme of the target scheduling period may also include other information, such as: the flow rate of the hydrogen supply device to the hydrogen pipeline network in the target scheduling period, the hydrogen capacity of the hydrogen pipeline network in the target scheduling period, etc. The specific information can be determined according to the actual situation, and the embodiments of this specification are not limited to this.

[0033] From the above description, it can be seen that the embodiments of this specification achieve the following technical effects: the expected hydrogen consumption of the hydrogenation unit in the target scheduling period can be determined by obtaining the parameter information set of the target system in the target scheduling period. Among them, the parameter information set may include parameter information of the hydrogenation unit, and the target system may include a hydrogen supply unit, a hydrogenation unit and a hydrogen pipeline network. Furthermore, in order to reduce the load of the hydrogen supply unit on the basis of meeting the hydrogen demand of the hydrogenation unit, and to ensure that the capacity of the hydrogen pipeline network is within a reasonable range and reduce the venting of hydrogen resources, the hydrogen scheduling plan for the target scheduling period can be determined based on the expected hydrogen consumption using a nonlinear programming algorithm, wherein the above hydrogen scheduling plan can be used to characterize the hydrogen production strategy of the hydrogen supply unit in the target scheduling period and the flow rate of the hydrogen pipeline network. Thereby, the normal and stable operation of the hydrogenation unit and the hydrogen supply unit can be ensured, the waste of hydrogen resources can be avoided, and the purpose of minimizing the operating cost of the target system within the target scheduling period can be achieved.

[0034] In one embodiment, determining the expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set may include: determining the type of the hydrogenation device according to the parameter information set. And determining the hydrogen consumption calculation model of the hydrogenation device according to the type of the hydrogenation device. Further, a characteristic parameter set in the target scheduling period may be obtained, and based on the hydrogen consumption calculation model and the characteristic parameter set, the expected hydrogen consumption of the hydrogenation device in the target scheduling period is determined.

[0035] In this embodiment, due to the different types of hydrogenation devices, the hydrogen consumption of the same feedstock oil may be different, and different calculation methods need to be used. Therefore, the type of the hydrogenation device can be first determined according to the above parameter information set. The type of the hydrogenation device can be directly recorded in the above parameter information set, or it can be determined by deducing the type of the hydrogenation device according to the parameter information in the parameter information set. The specific type can be determined according to the actual situation, and this embodiment of the specification does not limit this.

[0036] In this embodiment, the hydrogen consumption calculation model can be used to characterize the hydrogen consumption calculation method corresponding to a certain type of hydrogenation device, which can be a formula or a set of equations, and the specific one can be determined according to actual conditions, and this specification embodiment does not limit this.

[0037] In this embodiment, the above-mentioned characteristic parameter set includes multiple characteristic parameters for calculating the expected hydrogen consumption. Since the raw material properties and reaction severity of the hydrogenation unit will affect the hydrogen consumption, the above-mentioned characteristic parameters may include characteristic parameters of the crude oil, characteristic parameters of the hydrogenation product, etc. The specific parameters can be determined according to actual conditions, and the embodiments of this specification do not limit this.

[0038] In one embodiment, the types of the above-mentioned hydrogenation unit may include: hydrofining and hydrocracking. According to the type of the hydrogenation unit, determining the hydrogen consumption calculation model of the hydrogenation unit may include: when the type of the hydrogenation unit is determined to be hydrofining, the reaction mechanism model may be used as the hydrogen consumption calculation model of the hydrogenation unit. When the type of the hydrogenation unit is determined to be hydrocracking, the hydrogen consumption association model may be used as the hydrogen consumption calculation model of the hydrogenation unit.

[0039] In this embodiment, the hydrogen consumption of hydrotreating (for example, diesel hydrotreating unit) can be calculated using a reaction mechanism model, wherein the reaction mechanism model can be an accurate mathematical model established based on the internal mechanism of the object, the production process, or the transfer mechanism of the material flow. The reaction mechanism model is a mathematical model of the object or process obtained based on the mass balance equation, the energy balance equation, the momentum balance equation, the phase balance equation, and certain physical property equations, chemical reaction laws, etc.

[0040] In this embodiment, when the type of hydrocracking is determined, the hydrogen consumption can be calculated using the established hydrogen consumption correlation model of the hydrocracking unit, and the above hydrogen consumption correlation model can include multiple parameters that affect the hydrogen consumption, and each parameter can have a constant term coefficient. The specific method can be determined according to actual conditions, and this specification embodiment is not limited to this.

[0041] In one embodiment, based on the hydrogen consumption calculation model and the characteristic parameter set, determining the expected hydrogen consumption of the hydrogenation unit in the target scheduling period may include: when determining that the type of the hydrogenation unit is hydrofining, obtaining the first characteristic parameter subset in the characteristic parameter set, and determining the chemical hydrogen consumption, dissolved hydrogen consumption and emission hydrogen consumption of the hydrogenation unit based on the reaction mechanism model and the first characteristic parameter subset; wherein the chemical hydrogen consumption may include the hydrogen consumption of hydrodesulfurization, hydrodenitrogenation, olefin hydrogenation and aromatic hydrogenation reactions. Further, the sum of the determined chemical hydrogen consumption, dissolved hydrogen consumption and emission hydrogen consumption of the hydrogenation unit may be used as the expected hydrogen consumption.

[0042] In this embodiment, the first characteristic parameter subset may include characteristic parameters required for reaction mechanism model calculation. In the case where the type of the hydrogenation unit is hydrofining, the hydrogen consumption of the hydrogenation unit in the target scheduling period may include chemical hydrogen consumption (H chem , Nm 3 / m 3 ), dissolved hydrogen consumption and discharged hydrogen consumption, the above chemical hydrogen consumption may include hydrogen consumption of hydrodesulfurization, hydrodenitrogenation, olefin hydrogenation and aromatic hydrogenation reaction. Among them, Nm 3 It is the volume under standard pressure (1 atmosphere) and standard temperature (0°C, 273K°).

[0043] In this embodiment, the above reaction mechanism model can be shown as formula (1).

[0044] H Total =H chem +H purge +H diss (1)

[0045] Among them, H Total is the expected hydrogen consumption; H chem is the chemical hydrogen consumption; H purge is the dissolved hydrogen consumption; H diss is the emission hydrogen consumption. The chemical hydrogen consumption of intermediate fractions such as gasoline and diesel during the hydrogenation process can be estimated based on the chemical reactions that occur. By analyzing the main chemical reactions and stream properties of hydrogenation units such as diesel hydrogenation and gasoline hydrogenation under different feed and operating conditions, and then calculating the hydrogen consumption of reactions such as hydrodesulfurization, hydrodenitrogenation, olefin hydrogenation, and aromatic hydrogenation, the chemical hydrogen consumption of the entire hydrogenation process can be obtained. The calculation formula for chemical hydrogen consumption can be shown in formula (2).

[0046] H chem =H HDS +H HDN +H HGO +H HDA (2)

[0047] Among them, H chem is the chemical hydrogen consumption; H HDS is the hydrogen consumption of the hydrodesulfurization reaction; H HDN is the hydrogen consumption of the hydrodenitrogenation reaction; H HGO H is the amount of hydrogen required for olefin hydrogenation saturation; HDA is the hydrogen consumption of aromatics hydrogenation reaction.

[0048] In this embodiment, under the hydrorefining conditions, the main sulfides such as mercaptans, sulfides, thiophenes, benzothiophenes (BTs) and dibenzothiophenes (DBTs) in the petroleum fraction undergo hydrogenation reactions to generate corresponding hydrocarbon products and H2S (hydrogen sulfide). Since mercaptans, sulfides and thiophenes account for a small proportion in the distillate oil, they are classified as BTs for the convenience of calculating hydrogen consumption. The chemical hydrogen consumption H of hydrodesulfurization is HDS It can be calculated by formula (3).

[0049]

[0050] Among them, S f Indicates the total sulfur content of the feed, wt% (weight percentage); BT f Indicates the proportion of benzothiophene in the total sulfur content of the feed, %; DBT fIndicates the proportion of dibenzothiophene in the total sulfur content of the feed, %; ρ f Indicates feed density, kg / m 3 ; S p Indicates the total sulfur content of the hydrogenated product, wt%; BT p Indicates the proportion of benzothiophene in the total sulfur content of the hydrogenation product, %; DBT p Indicates the proportion of dibenzothiophene in the total sulfur content of the hydrogenation product, %; Y p It indicates the product yield, %.

[0051] In this embodiment, the nitrogen-containing compounds in the distillate oil are mainly heterocyclic nitrogen compounds such as quinoline, indole and carbazole, and carbazole nitrogen compounds account for the largest proportion. Therefore, it can be assumed that 5 mol of hydrogen is required for the hydrodenitrogenation reaction of 1 mol of distillate oil. The hydrogen consumption H for the hydrodenitrogenation reaction is HDN The calculation formula of can be shown as formula (4).

[0052]

[0053] Among them, N f Indicates the total nitrogen content of the feed, wt%; N p Indicates the total nitrogen content of the hydrogenation product, wt%; Y p Indicates product yield, %; ρ f Indicates feed density, kg / m 3 .

[0054] In this embodiment, the oxygen-containing compounds in the distillate oil mainly exist in the form of cyclohexane acids, and some exist in the secondary processed products in the form of phenols. The main hydrogenation reactions are hydrogenation saturation of the ring system and hydrogenolysis of the CO bond. The hydrogen consumption H of the hydrodeoxygenation reaction is HDO The calculation formula of can be shown as formula (5).

[0055]

[0056] Among them, O f Indicates the total oxygen content of the feed, wt%; O p Indicates the total oxygen content of the hydrogenation product, wt%; Y p Indicates product yield, %; ρ f Indicates feed density, kg / m 3 Since the content of oxygen-containing compounds in distillate oil is very small, the hydrogen consumption of hydrodeoxygenation may not be considered in some embodiments.

[0057] In this embodiment, the hydrogen consumption H required for olefin hydrogenation saturation is HGO The calculation formula of can be shown as formula (6).

[0058]

[0059] Among them, OLE f Indicates the olefin composition of the feed, mol%; OLE p Indicates the olefin composition of the hydrogenation product, mol%; MW f Indicates the molecular weight of the feed, kg / kmol; MW p Indicates the molecular weight of the hydrogenation product, kg / kmol; Y p Indicates product yield, %; ρ f Indicates feed density, kg / m 3 .

[0060] In this embodiment, the bromine number is a parameter that characterizes the unsaturation of the oil product. If the olefin composition of the feed and the hydrogenation product is not available, the olefin composition OLE in the distillate oil can be calculated by the bromine number, as shown in formula (7).

[0061]

[0062] Wherein, N(Br) represents the bromine number; MW represents the relative molecular mass. The relative molecular mass can be estimated according to the correlation formula (8).

[0063]

[0064] Wherein, T represents the normal pressure boiling point or the actual boiling point distillation 50% point temperature, K; Indicates relative density, kg / m 3 .

[0065] In this embodiment, the monocyclic aromatic hydrocarbons and polycyclic aromatic hydrocarbons (mainly bicyclic aromatic hydrocarbons and tricyclic aromatic hydrocarbons) in the distillate oil are relatively stable. During the hydrogenation process, the aromatic hydrocarbons undergo hydrogenation saturation reaction ring by ring and are finally converted into cycloalkanes. HDA It can be calculated according to formula (9):

[0066]

[0067] Among them, PNA f Indicates the composition of polycyclic aromatic hydrocarbons in the feed, mol%; PNA p Indicates the composition of polycyclic aromatic hydrocarbons in the hydrogenation product, mol%; MA f Indicates the composition of monocyclic aromatic hydrocarbons in the feed, mol%; MA p Indicates the composition of monocyclic aromatic hydrocarbons in the hydrogenation product, mol%; MW f Indicates the molecular weight of the feed, kg / kmol; MW p Indicates the molecular weight of the hydrogenation product, kg / kmol; Y pIndicates product yield, %; ρ f Indicates feed density, kg / m 3 .

[0068] In one embodiment, based on the hydrogen consumption calculation model and the characteristic parameter set, determining the expected hydrogen consumption of the hydrogenation unit in the target scheduling period may include: when determining that the type of the hydrogenation unit is hydrocracking, obtaining a historical characteristic parameter subset. And performing dimensionless processing on the historical characteristic parameter subset to obtain a processed historical characteristic parameter subset. Further, the processed historical characteristic parameter subset may be fitted using the least squares method to obtain dimensionless fitting parameters of each parameter in the hydrogen consumption association model. And the fitting parameters are brought into the hydrogen consumption association model, and the expected hydrogen consumption is determined according to the second characteristic parameter subset in the characteristic parameter set.

[0069] In this embodiment, a historical characteristic parameter subset can be obtained first, wherein the historical characteristic parameter subset can include historical records of multiple parameters required for calculating multiple groups of hydrogen consumption correlation models, so that multiple constant term coefficients in the hydrogen consumption correlation model can be determined by fitting the historical characteristic parameter subset.

[0070] In this embodiment, the historical characteristic parameter subset may include historical values ​​of multiple characteristic parameters such as the supplementary hydrogen flow rate entering the hydrocracking unit multiple cycles before the target scheduling cycle, the product yield, the volume average boiling point of the feedstock oil, the relative density of the feedstock oil, the processing volume of the feedstock oil, the sulfur content of the feedstock oil, and the nitrogen content of the feedstock oil. Of course, it can be understood that the historical characteristic parameter subset may also include more or fewer characteristic parameters, which can be determined according to actual conditions, and the embodiments of this specification do not limit this.

[0071] In this embodiment, since directly using the hydrogen consumption correlation model for fitting calculation may result in large errors, different characteristic parameters often have different dimensions and dimensional units. In order to eliminate the incommensurability caused by this, the historical characteristic parameter subset can be dimensionally processed first, so that the characteristic parameters in the processed historical characteristic parameter subset are dimensionless quantities. Among them, the above-mentioned dimensionless processing can also be called dimensionless processing, and common dimensionless processing methods mainly include: extreme value, standardization, averaging, standard deviation, etc., which can be determined according to actual conditions, and the embodiments of this specification do not limit this.

[0072] In this embodiment, the characteristic parameters in the historical characteristic parameter subset can be dimensionally processed using formula (10).

[0073]

[0074] Among them, μ irepresents the characteristic parameter after dimensionless processing of the i-th dimension; and They represent the maximum and minimum values ​​of the ith characteristic parameter respectively. Considering a certain elastic range, the maximum value of the actual data of each characteristic parameter is taken 10% upwards, and the minimum value is taken 10% downwards; Indicates the supplementary hydrogen flow rate entering the hydrocracking unit, Nm 3 / h; X represents product yield, %; T mf Indicates the volume average boiling point of the feedstock oil, °C; Indicates relative density, kg / m 3 ; F f Indicates the processing capacity of crude oil, t / h; S f Indicates the sulfur content of crude oil, mg / kg; N f Indicates the nitrogen content of the crude oil, mg / kg.

[0075] In this embodiment, when the type of the hydrogenation unit is determined to be hydrocracking, the established hydrogen consumption correlation model of the hydrocracking unit can be shown as formula (11):

[0076]

[0077] in, Indicates the supplementary hydrogen flow rate entering the hydrocracking unit, Nm 3 / h; X represents product yield, %; T mf Indicates the volume average boiling point of the crude oil, ℃; ρ f Indicates the relative density of crude oil, kg / m 3 ; F f Indicates the processing capacity of crude oil, t / h; S f Indicates the sulfur content of crude oil, mg / kg; N f It indicates the nitrogen content of the crude oil, mg / kg; coefficients a, b, c, d, e, f, and g are all constants.

[0078] In this embodiment, the processed historical characteristic parameter subset can be fitted using the least squares method using a programming language to obtain the dimensionless fitting parameters of each parameter in the hydrogen consumption correlation model (coefficients a, b, c, d, e, f, g in Formula 11). By substituting the obtained fitting parameters into Formula 11, the hydrogen consumption correlation model equation of the hydrocracking unit can be obtained.

[0079] In this embodiment, a second characteristic parameter subset in the characteristic parameter set can be further obtained, and the second characteristic parameter subset can include parameters such as the target scheduling period product yield, the volume average boiling point of the feedstock oil, the relative density of the feedstock oil, the processing volume of the feedstock oil, the sulfur content of the feedstock oil, and the nitrogen content of the feedstock oil. Of course, it can be understood that the second characteristic parameter subset can also include more or fewer characteristic parameters, which can be determined according to actual conditions, and the embodiments of this specification are not limited to this.

[0080] In this embodiment, the acquired second characteristic parameter subset can be substituted into the above determined hydrogen consumption correlation model equation of the hydrocracking unit, so as to obtain the expected hydrogen consumption of the hydrocracking unit in the target cycle. Among them, the above supplementary hydrogen flow rate entering the hydrocracking unit is the hydrogen consumption.

[0081] In one embodiment, the first characteristic parameter subset may include: feedstock density, total sulfur content, the ratio of benzothiophene and dibenzothiophene in the total sulfur content of the feed, the ratio of benzothiophene and dibenzothiophene in the total sulfur content of the hydrogenated product, product yield, total nitrogen content of the feedstock and the total nitrogen content of the hydrogenated product, olefin composition of the feedstock, olefin composition of the hydrogenated product, relative molecular mass of the feedstock and the product oil, bromine value, composition of polycyclic aromatic hydrocarbons and monocyclic aromatic hydrocarbons in the feedstock, composition of polycyclic aromatic hydrocarbons and monocyclic aromatic hydrocarbons in the hydrogenated product, dissolved hydrogen consumption and discharged hydrogen consumption. Of course, it can be understood that the first characteristic parameter subset may also include more or fewer characteristic parameters, which can be specifically determined according to actual conditions, and the embodiments of this specification are not limited to this.

[0082] In one embodiment, according to the expected hydrogen consumption, the hydrogen scheduling scheme for the target scheduling period is determined using a nonlinear programming algorithm, which may include: determining target constraints and setting an objective function; wherein the objective function is to minimize the total hydrogen production of the hydrogen supply device within the target scheduling period. Further, a target scheduling optimization model may be established based on the objective function and the target constraints, and according to the expected hydrogen consumption, the target scheduling optimization model may be solved using a nonlinear programming algorithm to obtain the hydrogen scheduling scheme for the target scheduling period.

[0083] In this embodiment, the above-mentioned target scheduling optimization model can be a nonlinear programming model. In mathematical programming problems, when at least one of the objective function or constraint function is a nonlinear function, this type of problem is called nonlinear programming. To make a quantitative analysis of the actual planning problem, a mathematical model must be established. To establish a mathematical model, it is first necessary to select appropriate target variables and decision variables, and establish a functional relationship between the target variables and the decision variables, which can be called the objective function. Then, various constraints are abstracted to derive some equations or inequalities that the decision variables should satisfy, which are called constraints. The general mathematical model of a nonlinear programming problem can be expressed as finding the unknown quantity so that it satisfies the constraints and the objective function reaches the minimum value (or maximum value).

[0084] In this embodiment, a target scheduling optimization model can be established based on the determined target function and target constraint conditions using a programming language. The programming language can be MATLAB (matrix laboratory), C language, etc., which can be determined according to actual conditions, and this specification embodiment does not limit this.

[0085] In this embodiment, the objective function may be the minimum value of the total hydrogen production (fhu_total) of the hydrogen supply device within the target scheduling period. The objective function may be as shown in formula (12).

[0086]

[0087] Among them, f u,t It represents the hydrogen production of the u-th hydrogen supply device in the t-th scheduling cycle; HPlant refers to the hydrogen supply device.

[0088] In one embodiment, determining the target constraint condition may include: determining the upper and lower limits of the hydrogen supply device outlet flow rate, the upper and lower limits of the hydrogenation device inlet flow rate, the upper and lower limits of the hydrogenation device inlet component concentration, and the upper and lower limits of the hydrogen pipeline network capacity, and determining the hydrogen supply device outlet flow rate balance model, the hydrogenation device inlet flow rate balance model and the hydrogen composition constraint model, and the hydrogen pipeline network flow and composition constraint model based on the upper and lower limits of the hydrogen supply device outlet flow rate, the upper and lower limits of the hydrogenation device inlet flow rate, the upper and lower limits of the hydrogenation device inlet component concentration, and the upper and lower limits of the hydrogen pipeline network capacity. Further, the hydrogen supply device outlet flow rate balance model, the hydrogenation device inlet flow rate balance model and the hydrogen composition constraint model, the hydrogen pipeline network flow balance model, and the hydrogen pipeline network hydrogen composition constraint model can be used as the target constraint condition.

[0089] In this embodiment, during the multi-cycle scheduling process of the target system, the hydrogen utility (also called fresh hydrogen) produced by the hydrogen supply device and the hydrogen-rich stream produced as a byproduct of the continuous catalytic reforming device are sent to the hydrogen pipeline network, and then the hydrogen pipeline network supplies hydrogen to each hydrogenation device. The hydrogen supply device outlet flow rate balance model means that the flow rate of hydrogen produced by the hydrogen supply device is equal to its flow rate to the hydrogen pipeline network. As shown in formula (13), the hydrogen production of the u-th hydrogen supply device should not exceed its maximum hydrogen production in each cycle

[0090]

[0091] Among them, f u , t represents the hydrogen supply flow rate of the uth hydrogen supply device in the tth scheduling period; fuh u,h,t It represents the flow rate sent by hydrogen supply device u to the hydrogen pipeline network in the tth scheduling period; U and u represent the set and index of hydrogen supply devices respectively; H and h represent the set and index of hydrogen pipeline networks respectively; NT and t represent the set and index of scheduling periods respectively.

[0092] In this embodiment, the hydrogenation device receives hydrogen from the hydrogen pipeline network, and the inlet flow rate balance model of the hydrogenation device in the tth scheduling period can be shown as formula (14). The inlet hydrogen composition of the hydrogenation device is the hydrogen composition of the hydrogen pipeline network (y h ,t), the inlet hydrogen composition of each scheduling period should not be less than the minimum hydrogen composition requirement, and the hydrogen composition constraint model can be shown as formula (15).

[0093]

[0094]

[0095] Among them, fhk h,k,t It represents the flow rate of hydrogen delivered from the hydrogen pipeline network to the hydrogenation unit in the tth scheduling period; represents the inlet flow demand of hydrogenation unit k in the tth scheduling period; y k,t represents the inlet hydrogen composition of hydrogenation unit k in the tth scheduling period; represents the minimum hydrogen composition of the kth hydrogenation unit; K represents the set of hydrogenation units.

[0096] In this embodiment, the hydrogen pipeline network receives the hydrogen generated by the hydrogen supply device and then sends it to the hydrogenation device. The flow balance model of the hydrogen pipeline network can be shown as formulas (16) and (17).

[0097]

[0098]

[0099] in, is the flow rate at the inlet of the hydrogen pipeline network; is the flow rate at the outlet of the hydrogen pipeline network; fuh u,h,t fhk is the flow rate sent from hydrogen supply device u to the hydrogen pipeline network in the tth scheduling period; h,k,t It is the flow rate of hydrogen delivered from the hydrogen pipeline network to the hydrogenation unit in the tth scheduling cycle.

[0100] In this embodiment, the above-mentioned scheduling optimization model can determine the flow direction changes of the hydrogen pipeline network. When the hydrogen source of the hydrogenation device changes during the scheduling cycle, the flow stream may reverse in the intermediate hydrogen pipeline network. The flow direction of the flow stream can be determined according to the following two situations: when the pipeline flow rate is positive, that is, f>0, the actual flow direction of the flow stream in the pipeline is the same as the default flow direction; when the pipeline flow rate is negative, that is, f<0, the actual flow direction of the flow stream in the pipeline is opposite to the default flow direction, and the flow stream reverses.

[0101] In this embodiment, during the scheduling process, the hydrogen supply device will first inject a certain volume of hydrogen into the hydrogen pipeline network. The compression factor of the gas stream can be calculated based on hydrogen, and the initial hydrogen storage capacity of the hydrogen pipeline network is calculated by formula (18).

[0102]

[0103] Among them, V h,0 is the initial hydrogen storage capacity of the hydrogen pipeline network, m 3 ; Z is the gas compression factor; A h is the cross-sectional area of ​​the hydrogen pipeline, m 2 ; l h is the length of the hydrogen pipeline, m; P h0 is the initial pressure of the hydrogen pipeline, kPa; R is the gas constant, 8.314 J / (mol·K); T is the temperature, K.

[0104] In this embodiment, in the tth scheduling cycle of the scheduling process, the hydrogen storage capacity of the hydrogen pipeline network and the hydrogen composition model of the hydrogen pipeline network can be as shown in formulas (19) and (20).

[0105]

[0106]

[0107] Among them, V h,t is the hydrogen capacity of the hydrogen pipeline network in the tth scheduling period; V h,t-1 is the hydrogen capacity of the hydrogen pipeline network in the t-1th scheduling period; fuh u,h,t fhk is the flow rate sent from hydrogen supply device u to the hydrogen pipeline network in the tth scheduling period; h,k,t is the flow rate of hydrogen pipeline network sent to hydrogenation unit in the tth scheduling cycle; Δt is the time interval of the tth scheduling cycle; yu,t is the outlet hydrogen composition of the hydrogen supply device in the tth scheduling period; y h,t is the inlet hydrogen composition of the hydrogen pipeline network in the tth scheduling period.

[0108] In this embodiment, the capacity constraint of the hydrogen pipeline network in the tth scheduling period can be shown as formula (21).

[0109]

[0110] Among them, V h,t and V h,t-1 They represent the hydrogen capacity of the hydrogen pipeline network in the tth and t-1th scheduling periods respectively; and Respectively represent the minimum and maximum capacity in the hydrogen pipeline network.

[0111] In this embodiment, a target scheduling optimization model can be established, and the objective function is to minimize the hydrogen production of the hydrogen supply device within the target scheduling period (Formula 12), and the constraints include the hydrogen supply device outlet flow rate balance model (Formula 13), the hydrogenation device inlet flow rate balance model (Formula 14), the hydrogenation device hydrogen composition constraint model (Formula 15), the hydrogen pipeline network flow balance model, and the hydrogen pipeline network hydrogen composition model (Formulas 16-21).

[0112] Based on the same inventive concept, a device for determining a hydrogen scheduling scheme is also provided in the embodiments of this specification, such as the following embodiments. Since the principle of solving the problem by the device for determining a hydrogen scheduling scheme is similar to the method for determining a hydrogen scheduling scheme, the implementation of the device for determining a hydrogen scheduling scheme can refer to the implementation of the method for determining a hydrogen scheduling scheme, and the repeated parts will not be repeated. As used below, the terms "unit" or "module" can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived. Figure 3 is a structural block diagram of a device for determining a hydrogen scheduling scheme according to an embodiment of this specification, such as Figure 3 As shown, it may include: an acquisition module 301, a first determination module 302 and a second determination model 303, and the structure is described below.

[0113] The acquisition module 301 may be used to acquire a parameter information set of a target system in a target scheduling period; wherein the parameter information set includes parameter information of a hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device, and a hydrogen pipeline network;

[0114] The first determination module 302 may be used to determine the expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set;

[0115] The second determination model 303 can be used to determine the hydrogen scheduling plan for the target scheduling period based on the expected hydrogen consumption using a nonlinear programming algorithm; wherein the hydrogen scheduling plan is used to characterize the hydrogen production strategy of the hydrogen supply device and the flow rate of the hydrogen pipeline network in the target scheduling period.

[0116] The embodiment of this specification also provides an electronic device, which can be specifically referred to in Figure 4 The schematic diagram of the structure of the electronic device composition of the method for determining the hydrogen scheduling scheme provided in the embodiment of this specification is shown, and the electronic device may specifically include an input device 41, a processor 42, and a memory 43. Among them, the input device 41 can be specifically used to input the parameter information set of the target system in the target scheduling period; wherein the parameter information set includes the parameter information of the hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device, and a hydrogen pipeline network. The processor 42 can be specifically used to determine the expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set; according to the expected hydrogen consumption, a nonlinear programming algorithm is used to determine the hydrogen scheduling scheme of the target scheduling period; wherein the hydrogen scheduling scheme is used to characterize the hydrogen production strategy of the hydrogen supply device and the flow rate of the hydrogen pipeline network in the target scheduling period. The memory 43 can be specifically used to store parameters such as the hydrogen scheduling scheme of the target scheduling period.

[0117] In this embodiment, the input device can specifically be one of the main devices for information exchange between the user and the computer system. The input device can include a keyboard, a mouse, a camera, a scanner, a light pen, a handwriting input board, a voice input device, etc.; the input device is used to input the original data and the program for processing these numbers into the computer. The input device can also obtain and receive data transmitted from other modules, units, and devices. The processor can be implemented in any appropriate manner. For example, the processor can take the form of a computer-readable medium, a logic gate, a switch, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable logic controller, and an embedded microcontroller, etc., such as a microprocessor or a processor and a computer-readable program code (such as software or firmware) that can be executed by the (micro) processor. The memory can specifically be a memory device used to store information in modern information technology. The memory can include multiple levels. In a digital system, anything that can store binary data can be a memory; in an integrated circuit, a circuit with a storage function without a physical form is also called a memory, such as a RAM, a FIFO, etc.; in a system, a storage device with a physical form is also called a memory, such as a memory stick, a TF card, etc.

[0118] In this embodiment, the functions and effects specifically realized by the electronic device can be explained in comparison with other embodiments and will not be described in detail here.

[0119] The embodiment of the present specification also provides a computer storage medium based on a method for determining a hydrogen scheduling scheme, wherein the computer storage medium stores computer program instructions, which can achieve the following when executed: obtaining a parameter information set of a target system in a target scheduling period; wherein the parameter information set includes parameter information of a hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device, and a hydrogen pipeline network; determining an expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set; determining a hydrogen scheduling scheme for the target scheduling period using a nonlinear programming algorithm based on the expected hydrogen consumption; wherein the hydrogen scheduling scheme is used to characterize the hydrogen production strategy of the hydrogen supply device and the flow rate of the hydrogen pipeline network in the target scheduling period.

[0120] In this embodiment, the storage medium includes, but is not limited to, a random access memory (RAM), a read-only memory (ROM), a cache, a hard disk (HDD), or a memory card. The memory can be used to store computer program instructions. The network communication unit can be an interface for network connection communication set in accordance with the standard specified by the communication protocol.

[0121] In this embodiment, the functions and effects specifically implemented by the program instructions stored in the computer storage medium can be explained in comparison with other embodiments and will not be repeated here.

[0122] Obviously, those skilled in the art should understand that the modules or steps of the above-mentioned embodiments of this specification can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. In this way, the embodiments of this specification are not limited to any specific combination of hardware and software.

[0123] Although the embodiments of this specification provide method operation steps such as the above embodiments or flowcharts, more or fewer operation steps may be included in the method based on routine or no creative labor. In the steps where there is no necessary causal relationship logically, the execution order of these steps is not limited to the execution order provided in the embodiments of this specification. When the method is executed in an actual device or terminal product, it can be executed in the order of the method shown in the embodiments or drawings or in parallel (for example, in a parallel processor or multi-threaded processing environment).

[0124] It should be understood that the above description is for illustration and not for limitation. By reading the above description, many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art. Therefore, the scope of the embodiments of this specification should not be determined with reference to the above description, but should be determined with reference to the full scope of the aforementioned claims and the equivalents possessed by these claims.

[0125] The above are only preferred embodiments of the embodiments of this specification and are not intended to limit the embodiments of this specification. For those skilled in the art, the embodiments of this specification may have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the embodiments of this specification shall be included in the protection scope of the embodiments of this specification.

Claims

1. A method for determining a hydrogen scheduling plan, characterized in that: include: Acquire a parameter information set of a target system in a target scheduling period; wherein the parameter information set includes parameter information of a hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device, and a hydrogen pipeline network; Determining an expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set; According to the expected hydrogen consumption, a hydrogen scheduling scheme for the target scheduling period is determined using a nonlinear programming algorithm; wherein the hydrogen scheduling scheme is used to characterize the hydrogen production strategy of the hydrogen supply device in the target scheduling period and the flow rate of the hydrogen pipeline network; Wherein, according to the expected hydrogen consumption, a hydrogen scheduling scheme for the target scheduling period is determined using a nonlinear programming algorithm, including: Determine target constraints; Setting an objective function; wherein the objective function is to minimize the total hydrogen production of the hydrogen supply device within the target scheduling period; Establishing a target scheduling optimization model based on the target function and the target constraint condition; According to the expected hydrogen consumption, the target scheduling optimization model is solved by using the nonlinear programming algorithm to obtain a hydrogen scheduling plan for the target scheduling period; Among them, determining the target constraints includes: Determine the upper and lower limits of the hydrogen supply device outlet flow rate, the upper and lower limits of the hydrogenation device inlet flow rate, the upper and lower limits of the hydrogenation device inlet component concentration, and the upper and lower limits of the hydrogen pipeline network capacity; According to the upper and lower limits of the hydrogen supply device outlet flow rate, the upper and lower limits of the hydrogenation device inlet flow rate, the upper and lower limits of the hydrogenation device inlet component concentration, and the upper and lower limits of the hydrogen pipeline network capacity, determine the hydrogen supply device outlet flow rate balance model, the hydrogenation device inlet flow rate balance model and the hydrogen composition constraint model, the hydrogen pipeline network flow balance model, and the hydrogen pipeline network hydrogen composition model; The hydrogen supply device outlet flow rate balance model, the hydrogenation device inlet flow rate balance model and the hydrogen composition constraint model, and the hydrogen pipeline network flow and composition constraint model are used as target constraint conditions.

2. The method according to claim 1, characterized in that Determining the expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set includes: Determining the type of the hydrogenation unit according to the parameter information set; Determining a hydrogen consumption calculation model of the hydrogenation device according to the type of the hydrogenation device; Acquire a characteristic parameter set in the target scheduling period; Based on the hydrogen consumption calculation model and the characteristic parameter set, the expected hydrogen consumption of the hydrogenation device in the target scheduling period is determined.

3. The method according to claim 2, characterized in that The types of the hydrogenation unit include: hydrofining and hydrocracking. According to the type of the hydrogenation unit, the hydrogen consumption calculation model of the hydrogenation unit is determined, including: When it is determined that the type of the hydrogenation unit is hydrotreating, the reaction mechanism model is used as the hydrogen consumption calculation model of the hydrogenation unit; When it is determined that the type of the hydrogenation unit is hydrocracking, the hydrogen consumption correlation model is used as the hydrogen consumption calculation model of the hydrogenation unit.

4. The method according to claim 3, characterized in that Determining the expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the hydrogen consumption calculation model and the characteristic parameter set includes: When it is determined that the type of the hydrogenation unit is hydrotreating, obtaining a first characteristic parameter subset in the characteristic parameter set; Determining the chemical hydrogen consumption, dissolved hydrogen consumption and discharged hydrogen consumption of the hydrogenation device based on the reaction mechanism model and the first characteristic parameter subset; wherein the chemical hydrogen consumption includes hydrogen consumption of hydrodesulfurization, hydrodenitrogenation, olefin hydrogenation and aromatic hydrogenation reactions; The sum of the determined chemical hydrogen consumption, dissolved hydrogen consumption and emitted hydrogen consumption of the hydrogenation device is taken as the expected hydrogen consumption.

5. The method according to claim 3, characterized in that: Determining the expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the hydrogen consumption calculation model and the characteristic parameter set includes: When it is determined that the type of the hydrogenation unit is hydrocracking, obtaining a subset of historical characteristic parameters; Performing dimensionless processing on the historical characteristic parameter subset to obtain a processed historical characteristic parameter subset; The processed historical characteristic parameter subset is fitted by using the least square method to obtain dimensionless fitting parameters of each parameter in the hydrogen consumption correlation model; The fitting parameters are introduced into the hydrogen consumption correlation model, and the expected hydrogen consumption is determined according to the second characteristic parameter subset in the characteristic parameter set.

6. The method according to claim 4 or 5, characterized in that: The first characteristic parameter subset includes: feedstock density, total sulfur content, the ratio of benzothiophene and dibenzothiophene in the total sulfur content of the feed, the ratio of benzothiophene and dibenzothiophene in the total sulfur content of the hydrogenated product, product yield, total nitrogen content of the feedstock and the total nitrogen content of the hydrogenated product, olefin composition of the feedstock, olefin composition of the hydrogenated product, relative molecular mass of the feedstock and the product oil, bromine number, composition of polycyclic aromatic hydrocarbons and monocyclic aromatic hydrocarbons in the feedstock, composition of polycyclic aromatic hydrocarbons and monocyclic aromatic hydrocarbons in the hydrogenated product, dissolved hydrogen consumption and discharged hydrogen consumption; the second characteristic parameter subset includes: supplementary hydrogen flow rate entering the hydrocracking unit, product yield, volume average boiling point of the feedstock, relative density of the feedstock, processing capacity of the feedstock, sulfur content of the feedstock, and nitrogen content of the feedstock.

7. A device for determining a hydrogen scheduling plan, characterized in that: include: An acquisition module, used to acquire a parameter information set of a target system in a target scheduling period; wherein the parameter information set includes parameter information of a hydrogenation device, and the target system includes a hydrogen supply device, a hydrogenation device, and a hydrogen pipeline network; A first determination module, configured to determine an expected hydrogen consumption of the hydrogenation device in the target scheduling period based on the parameter information set; A second determination model is used to determine the hydrogen scheduling plan of the target scheduling period using a nonlinear programming algorithm according to the expected hydrogen consumption; wherein the hydrogen scheduling plan is used to characterize the hydrogen production strategy of the hydrogen supply device in the target scheduling period and the flow rate of the hydrogen pipeline network; The second determination model is specifically used to: determine the target constraint conditions; set the objective function; wherein the objective function is to minimize the total hydrogen production of the hydrogen supply device within the target scheduling period; establish a target scheduling optimization model based on the objective function and the target constraint conditions; according to the expected hydrogen consumption, use the nonlinear programming algorithm to solve the target scheduling optimization model to obtain the hydrogen scheduling plan for the target scheduling period; Among them, determining the target constraint conditions includes: determining the upper and lower limits of the outlet flow rate of the hydrogen supply device, the upper and lower limits of the inlet flow rate of the hydrogenation device, the upper and lower limits of the component concentration at the inlet of the hydrogenation device, and the upper and lower limits of the hydrogen pipeline network capacity; according to the upper and lower limits of the outlet flow rate of the hydrogen supply device, the upper and lower limits of the inlet flow rate of the hydrogenation device, the upper and lower limits of the component concentration at the inlet of the hydrogenation device, and the upper and lower limits of the hydrogen pipeline network capacity, determining the outlet flow rate balance model of the hydrogen supply device, the inlet flow rate balance model of the hydrogenation device and the hydrogen composition constraint model, the hydrogen pipeline network flow balance model, and the hydrogen composition model of the hydrogen pipeline network; using the outlet flow rate balance model of the hydrogen supply device, the inlet flow rate balance model of the hydrogenation device and the hydrogen composition constraint model, and the hydrogen pipeline network flow and composition constraint model as the target constraint conditions.

8. A device for determining a hydrogen scheduling plan, characterized in that: The method comprises a processor and a memory for storing processor-executable instructions, wherein the processor implements the steps of the method according to any one of claims 1 to 6 when executing the instructions.

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