A method and system for optimizing configuration of wind-solar-storage-hydrogen-ammonia-alcohol capacity

Abstract

The application belongs to the technical field of new energy comprehensive utilization, and discloses a wind-solar-storage hydrogen-ammonia-methanol capacity optimization configuration method and system. The method firstly calculates the electricity consumption of wind-solar-storage hydrogen-ammonia-methanol according to target basic data of the project location and determines the traversal condition, then builds a production model, and finally traverses the production model according to the traversal condition, so that the configuration scheme of different wind, light, hydrogen, ammonia and methanol can be quickly calculated. Then, combined with the pre-constructed financial estimation model, the economy of different configuration schemes can be estimated and sorted as the target, and the optimal scheme of the project economy is found out.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of new energy comprehensive utilization, and particularly relates to a wind-solar-storage hydrogen-ammonia-alcohol capacity optimization configuration method and system. BACKGROUND

[0002] With the rapid development of new energy technology, the scale of investment and construction of new energy power stations represented by wind power and photovoltaic power is growing rapidly. New energy projects have large construction target scales and short construction periods, usually requiring completion and grid connection in the same year, but the reasonable construction period of supporting power grid projects is generally 2-3 years, leading to a mismatch between power supply and power grid construction in time, and the high uncertainty of new energy output and the lack of self-regulation. Under this background, new energy curtailment and curtailment is becoming more and more serious in various regions, with curtailment and curtailment rates as high as 30% or more in some regions, and new energy settlement prices are also falling.

[0003] As an important pillar of global trade, the shipping industry has long relied on traditional fuels, and its carbon emissions have always been a concern. Currently, shipping companies are seeking clean and low-carbon alternative fuels, which has led to a strong demand for green fuels, mainly green hydrogen, green ammonia, and green methanol. The production of green hydrogen ammonia alcohol fuel has special requirements for energy supply, and the core is to use green electricity (green electricity for short) as support. Green electricity mainly comes from renewable energy sources such as solar, wind, and water power, green hydrogen mainly comes from green electricity electrolysis of water or biomass gasification, and green carbon mainly comes from air carbon dioxide capture or biomass gasification. The rising demand for green hydrogen ammonia alcohol fuel provides an effective way to solve the current problem of new energy curtailment and curtailment. In periods of excess new energy generation, excess green electricity can be used to produce green hydrogen ammonia alcohol fuel, converting electrical energy into chemical energy for storage. Through the combination of green hydrogen ammonia alcohol fuel, efficient use of green electricity can be achieved, solving the problem of new energy curtailment and curtailment, and improving the overall return on new projects.

[0004] Wind-solar-storage hydrogen-ammonia-alcohol is a comprehensive energy project, involving wind power, photovoltaic power, energy storage, hydrogen production, ammonia production, methanol production, and biomass and other subsystems, and involving energy, power, chemical industry, agriculture, transportation, and other fields. Wind power and photovoltaic power have significant randomness and volatility, and are significantly affected by geographical location and climate conditions. If production is based on the principle of equal green electricity generation and hydrogen, ammonia, and alcohol demand, there will be many problems, such as the inability to meet the electricity demand of hydrogen and methanol production during low electricity generation periods, the need for large-capacity energy storage, and the need to supplement electricity from the grid, which will significantly increase production costs and carbon emissions. The economic performance of the entire project is closely related to the capacity, ratio, and construction cost of each subsystem, and how to effectively couple and optimize the capacity configuration of each subsystem to achieve optimal economic performance is a problem that needs to be solved. SUMMARY

[0005] To overcome the deficiencies and shortcomings mentioned in the above background art, the present application provides a wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method and system.

[0006] In a first aspect, the present application provides a wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method, comprising:

[0007] S1: obtaining target basic data of the project location;

[0008] S2: calculating the electricity consumption of wind-solar-storage-hydrogen-ammonia-alcohol according to the target basic data and determining the traversal condition, the traversal condition including the upper and lower limit scale of wind power, the upper and lower limit scale of photovoltaic, and the traversal step from the lower limit to the upper limit of each part scale in the optimization configuration process;

[0009] S3: calculating the wind-solar power generation, wind-solar power generation alcohol consumption, grid power synthesis methanol consumption, wind-solar power generation water electrolysis hydrogen consumption, grid power electrolysis water hydrogen consumption, wind-solar power generation water electrolysis hydrogen storage, grid power, and methanol synthesis amount according to the wind-solar output data of the project location, and building a production model;

[0010] S4: traversing the production model according to the electricity consumption of wind-solar-storage-hydrogen-ammonia-alcohol, the upper and lower limit scale, and the traversal step to obtain different configuration schemes;

[0011] S5: inputting the configuration scheme into a pre-constructed financial estimation model to calculate the capital financial internal rate of return IRR corresponding to each configuration scheme, and determining the optimal configuration scheme according to the IRR.

[0012] In a second aspect, the present application provides a wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the computer program.

[0013] Compared with the prior art, the present application has the following advantages:

[0014] The wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method provided by the present application first calculates the electricity consumption of wind-solar-storage-hydrogen-ammonia-alcohol according to the target basic data of the project location and determines the traversal condition, then builds a production model, and finally traverses the production model according to the traversal condition, which can quickly calculate different wind, light, hydrogen, ammonia, and methanol configuration schemes. Then, combined with the pre-constructed financial estimation model, the economic efficiency of different configuration schemes can be estimated and sorted to find the optimal economic efficiency scheme. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without any creative effort.

[0016] Figure 1 is a flow chart of a wind-solar-storage-hydrogen-ammonia-methanol capacity optimization configuration method provided by the application;

[0017] Figure 2 is a wind-solar-storage-hydrogen-ammonia-methanol capacity optimization configuration method provided by the application, which is a hourly direction chart of wind power and photovoltaic summer solstice power generation under the target of economic optimization;

[0018] Figure 3 is a hourly methanol production chart of a wind-solar-storage-hydrogen-ammonia-methanol capacity optimization configuration method provided by the application;

[0019] Figure 4 is a time-of-use electricity price chart of a wind-solar-storage-hydrogen-ammonia-methanol capacity optimization configuration method provided by the application under the target of economic optimization;

[0020] Figure 5 is a typical daily hourly electricity direction chart of a wind-solar-storage-hydrogen-ammonia-methanol capacity optimization configuration method provided by the application under the target of economic optimization. DETAILED DESCRIPTION

[0021] In order to facilitate the understanding of the present application, the following will combine the drawings in the specification and the preferred embodiments to make a more comprehensive and detailed description of the present application, but the protection scope of the present application is not limited to the following specific embodiments.

[0022] Unless otherwise defined, all the professional terms used in the following have the same meaning as understood by those skilled in the art. The professional terms used in this paper are only for the purpose of describing the specific embodiments and are not intended to limit the protection scope of the present application.

[0023] Unless otherwise specified, various raw materials, reagents, instruments and equipment used in the present application can be purchased from the market or can be prepared by existing methods.

[0024] It should be understood that ammonia production and methanol production are two relatively independent systems, but the operation logic and calculation method of the two systems are consistent. For the sake of illustration, the following will take the wind-solar-storage-hydrogen-methanol system as an example to introduce the detailed technical solutions of the present application.

[0025] Please refer to Figure 1The application provides a wind-solar-storage-hydrogen-ammonia-methanol capacity optimization configuration method, comprising:

[0026] S1: Obtain target basic data of the project location.

[0027] In this step, the target basic data is hourly output data; specifically, the target basic data includes but is not limited to:

[0028] Time-of-use electricity price for industrial and commercial electricity in the project location, unit price of construction period investment cost and operation period maintenance cost of wind power, photovoltaic, hydrogen production, hydrogen storage, and methanol production, project life cycle, discount rate, water consumption, and methanol sales price.

[0029] S2: Calculate the electricity consumption of wind-solar-storage-hydrogen-ammonia-methanol according to the target basic data and determine the traversal condition, which includes the upper and lower limit scale of wind power, the upper and lower limit scale of photovoltaic, and the traversal step from the lower limit to the upper limit of each part scale in the optimization configuration process.

[0030] S3: Calculate the wind-solar power generation, wind-solar power generation-methanol production electricity consumption, grid electricity synthesis methanol electricity consumption, wind-solar power generation-water electrolysis hydrogen production electricity consumption, grid electricity-water electrolysis hydrogen production electricity consumption, wind-solar power generation-water electrolysis hydrogen storage, grid electricity, and methanol synthesis according to the wind-solar output data of the project location, and build a production model.

[0031] S4: Traverse the production model according to the electricity consumption of wind-solar-storage-hydrogen-ammonia-methanol, the upper and lower limit scale, and the traversal step to obtain different configuration schemes.

[0032] S5: Input the configuration scheme into the pre-constructed financial calculation model to calculate the capital financial internal rate of return (IRR) corresponding to each configuration scheme, and determine the optimal configuration scheme according to the IRR.

[0033] In this embodiment, the pre-constructed financial calculation model specifically refers to a dynamic spreadsheet model for quantitatively analyzing the economic feasibility of the project, which is constructed based on Excel software. The spreadsheet model simulates a series of cash flows including investment, financing, operation, cost, and benefit of the project throughout its life cycle, calculates key financial indicators, and judges the feasibility of the project investment.

[0034] The wind-solar-storage-hydrogen-ammonia-methanol capacity optimization configuration method described above first calculates the electricity consumption of wind-solar-storage-hydrogen-ammonia-methanol according to the target basic data of the project location and determines the traversal condition, then builds a production model, and finally traverses the production model according to the traversal condition, which can quickly calculate different wind, light, hydrogen, ammonia, and methanol configuration schemes. Then, combined with the pre-constructed financial calculation model, the economic feasibility of different configuration schemes can be calculated and sorted to find the optimal economic scheme.

[0035] Optionally, the S2 calculates the electricity consumption of wind-solar-storage hydrogen-ammonia methanol according to the target basic data, comprising:

[0036] S21: Hourly synthetic methanol electricity consumption calculation, specifically including calculating the target value of hourly synthetic methanol according to the target annual methanol production ; , the formula is as follows:

[0037] ;

[0038] According to the lower limit and the upper limit of the load fluctuation range of the synthetic methanol equipment , as a percentage, that is, the fluctuation range of the production load of the methanol equipment compared to the target value , calculate the maximum and minimum values of the hourly synthetic methanol production , the formula is as follows:

[0039] ;

[0040] According to the electricity consumption of the methanol synthesis process ME , calculate the target value , minimum value and maximum value of the hourly synthetic methanol electricity consumption, the formula is as follows:

[0041] ;

[0042] S22: Calculate the hourly hydrogen production electricity consumption, specifically including:

[0043] Determine the amount of hydrogen required for the synthesis of one ton of methanol H (standard cubic meters / ton) according to the hydrogen consumption in the traditional chemical synthesis of methanol; determine the electricity consumption of water electrolysis hydrogen production HU (megawatt hours / standard cubic meters) according to the advanced level of the industry.

[0044] According to the hydrogen consumption of methanol H , calculate the target value , minimum value and maximum value of the hydrogen required for the hourly synthesis of methanol, the formula is as follows:

[0045]

[0046]

[0047] ;

[0048] According to the electricity consumption of water electrolysis hydrogen production HU , calculate the target value of hourly water electrolysis hydrogen production electricity consumption , minimum value , maximum value , the formula is as follows:

[0049] ;

[0050] S23: calculate the total power consumption target value of synthesizing methanol and hydrogen produced by electrolysis of water per hour , minimum value , maximum value The formula is as follows:

[0051] .

[0052] In an example, determining the traversal condition comprises:

[0053] Set the wind power traversal step and the photovoltaic traversal step to be 10;

[0054] Set the lower limit of the wind power installed capacity to be 200, and the upper limit of the wind power installed capacity to be 1000;

[0055] Set the lower limit of the photovoltaic installed capacity to be 200, and the upper limit of the photovoltaic installed capacity to be 1000.

[0056] In this embodiment, 10 as the traversal step is a reasonable division method, which can simulate the configuration effect of hydrogen ammonia alcohol production of different wind and light installed capacities, and can maximize the reduction of calculation workload and improve the calculation effect.

[0057] Further explanation is that the traversal in the application is to traverse each cycle in the production model. Since many factors are considered in the application, the traversal combination is more, and the final result is more comprehensive.

[0058] Optionally, the S3 comprises:

[0059] S31: calculate the wind and light power generation per hour, specifically comprising calculating the wind and light power generation per hour according to the time-of-use electricity price , wind power output unit value , initial wind power installed capacity , photovoltaic output unit value , initial photovoltaic installed capacity ; wherein, = 1, 2, 3,..., 8760, i = k ,..., x ; y

[0060] ;

[0061] ​S32: Determine whether the hourly wind and light power generation meets the demand for synthesizing methanol and hydrogen produced by electrolysis of water, and calculate the system load ratio ML.

[0062] In this step, the system load ratio ML is calculated, including:

[0063] When the wind and light power generation is less than the minimum total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water ,

[0064] ML = x ;

[0065] When the wind and light power generation is greater than the minimum total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water and less than the maximum total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water ,

[0066] ML = ;

[0067] In the formula, represents the total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water;

[0068] When the wind and light power generation is greater than the maximum total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water ,

[0069] ML = y .

[0070] S33: Calculate the hourly methanol production , methanol production power consumption , methanol production power consumption shortage , wind and light power consumption , remaining wind and light power after methanol production , according to the following formula:

[0071] ;

[0072] In the formula, represents the hourly methanol target value, represents the hourly total power consumption target value for synthesizing methanol, represents the hourly power required for methanol synthesis, represents the hourly wind and light power generation;

[0073] S34: Calculate the hourly methanol load required for electrolysis of water to produce hydrogen , the wind and light power supply for hydrogen production for methanol load , the power consumption for hydrogen production by wind and light power supply for methanol load , the wind and light electricity remaining after methanol production and hydrogen production by water electrolysis , the formula is as follows:

[0074] ;

[0075] In the formula, H represents the hydrogen consumption of methanol, HU represents the electricity consumption of hydrogen production by water electrolysis;

[0076] When the wind and light electricity is insufficient to meet the minimum load requirement of system operation, methanol and hydrogen need to be produced by power grid power-off, and the electricity consumption of methanol production by power grid power-off is and the electricity consumption of hydrogen production by power grid power-off is The calculation formula is as follows:

[0077] ;

[0078] After meeting the hydrogen and electricity required for corresponding methanol production, if the wind and light electricity is in a period of large production at this time, the methanol production load reaches the upper limit y, which will cause electricity surplus. The surplus electricity continues to be used for hydrogen production by water electrolysis, and is stored in the hydrogen storage tank for supplementing hydrogen in the subsequent methanol production process, and the green electricity hydrogen storage amount S The calculation formula is as follows:

[0079] ;

[0080] S35: Calculate the actual annual methanol production , the formula is as follows:

[0081] ;

[0082] S36: Calculate the annual power grid power-off electricity cost according to the time-of-use electricity price and the power grid power-off point amount of each link , the formula is as follows:

[0083] .

[0084] The annual power grid power-off electricity cost in the present application includes the off-line and non-off-line cases.

[0085] In addition, the units of the parameters in the present application are introduced as follows:

[0086] The unit is ton, ME The unit is megawatt hour / ton, and the specific constant can be dynamically adjusted according to the actual situation of the project, and the fluctuation range The unit is %, The unit is megawatt hour, H The unit is standard cubic meter / ton, HU The unit is megawatt hour / standard cubic meter, Unit: MWh, Unit: MWh, Unit: MWh, ML unit: %, Unit: MWh.

[0087] The above wind-solar hydrogen ammonia methanol capacity optimization configuration method is described below with a complete example as follows:

[0088] Get the hourly output data of wind power and photovoltaic for 8760 hours in a year at the project site. Limit the upper and lower limits of wind power and photovoltaic installed capacity, and give the traversal step length. Prepare the basic parameters of the time-of-use electricity price of industrial and commercial electricity at the project site, the construction period investment cost and operation period maintenance cost unit price of wind power, photovoltaic, hydrogen production, hydrogen storage, methanol production, project life cycle, discount rate, water consumption per ton of methanol, methanol sales price, etc. See Table 1 below for details.

[0089] Table 1 Basic parameters

[0090]

[0091] According to the annual methanol production, the average hourly methanol production target value for 8760 hours in a year is calculated ; according to the methanol synthesis load fluctuation range , the minimum value and the maximum value of hourly synthesized methanol are calculated; according to the methanol synthesis process power consumption ME , the hourly synthesized methanol power consumption target value , the minimum value and the maximum value are calculated.

[0092] Methanol synthesis requires hydrogen supply, according to the methanol hydrogen consumption H , the target value , the minimum value and the maximum value of hydrogen required for hourly synthesized methanol are calculated. According to the electrolytic water hydrogen production power consumption HU , the hourly electrolytic water hydrogen production power consumption target value , the minimum value , the maximum value are calculated.

[0093] Based on wind and solar power output data, the following calculations were performed sequentially: wind and solar power generation, wind and solar power consumption for methanol production, power consumption for methanol synthesis via grid connection, power consumption for hydrogen production via water electrolysis, power consumption for hydrogen production via water electrolysis via grid connection, hydrogen storage capacity via water electrolysis, power generation capacity via grid connection, and methanol synthesis capacity. An 8760 calculation model was then established. The model was started with an initial wind power capacity of 200MW and a solar power capacity of 200MW, as shown in Table 2 below (in the table, "..." refers to intermediate process data such as load ratio, power consumption for methanol production, power deficit for methanol production, wind and solar power consumption for methanol production, remaining wind and solar power, hydrogen production capacity, power consumption for hydrogen production via wind and solar connection, and power deficit for hydrogen production via wind and solar connection).

[0094] Table 2 shows the constructed 8760 computational model.

[0095]

[0096] As attached Figure 2 The chart shows the hourly power generation from wind and solar power supplied for alcohol production and hydrogen production via water electrolysis over the 24 hours of the summer solstice; (See attached chart.) Figure 3 The figure shows the hourly methanol synthesis volume over 8760 hours throughout the year. It can be seen that during periods of high wind and solar power generation, hourly methanol production reaches its maximum capacity, while during periods of low wind and solar power generation, power is drawn from the grid to ensure minimum methanol production capacity. (See attached figure.) Figure 4 The chart shows the 24-hour time-of-use electricity price from the grid. The price varies depending on the level of electricity demand at different times. (See attached chart.) Figure 5 The figure shows the hourly statistics of grid power consumption and green electricity consumption for each production stage on a typical 24-hour day. It can be seen that this model effectively simulates the characteristics of wind and solar power generation, with green electricity supplying the main source during the day and grid power supporting the reduced capacity of wind and solar power at night. The annual methanol production scale and annual grid power consumption are obtained by summing the simulation results.

[0097] The model is traversed according to a given traversal step size to obtain data such as wind power installed capacity, photovoltaic installed capacity, grid power generation, and methanol production under different scheme configurations. The results are shown in Table 3 below.

[0098] Table 3 Data under different configuration schemes

[0099]

[0100] Calculate the internal rate of return on equity under different scenarios. IRR Among numerous configuration options, the one that best meets the project requirements is selected based on the scale of wind and solar power generation, methanol production scale, curtailment rate, and internal rate of return on equity.

[0101] The application further provides a wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration system, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor implements the steps of the above method when executing the computer program. The wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration system can implement each embodiment of the wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method described above and achieve the same beneficial effects, and thus will not be described here.

[0102] The above is only a specific embodiment or a description of the specific embodiment of the present application, and the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. The protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method, characterized in that, The method comprises the following steps: S1: obtaining target basic data of a project location; S2: calculating power consumption of wind-solar-storage-hydrogen-ammonia-methanol and determining traversal conditions according to the target basic data, wherein the traversal conditions comprise upper and lower limit scales of wind power, upper and lower limit scales of photovoltaic power, and traversal steps of each part scale from the lower limit to the upper limit in the optimization configuration process; S3: calculating wind-solar power generation, wind-solar power generation-methanol consumption, grid power consumption for synthesizing methanol, wind-solar power generation-water electrolysis-hydrogen consumption, grid power consumption for water electrolysis-hydrogen, wind-solar power generation-water electrolysis-hydrogen storage, grid power consumption, and methanol synthesis according to wind-solar output data of the project location, and building a production model; S4: traversing the production model according to the power consumption of wind-solar-storage-hydrogen-ammonia-methanol, the upper and lower limit scales, and the traversal steps to obtain different configuration schemes; S5: inputting the configuration schemes into a pre-constructed financial calculation model to calculate capital financial internal rate of return (IRR) corresponding to each configuration scheme, and determining an optimal configuration scheme according to the IRR. The S2 comprises the following steps: S21: Calculate the hourly synthesis methanol electricity consumption, specifically including according to the target annual methanol production Calculate the unit hour system methanol target value , the formula is as follows: ； Based on the lower limit of the production load fluctuation range of the methanol synthesis equipment and upper limit Calculate hourly methanol production The maximum and minimum values ​​are given by the following formula: ； According to the methanol synthesis process power consumption ME Computing the hourly methanol synthesis power consumption target value , minimum value and maximum value , as follows: ； S22: calculating hourly hydrogen production power consumption, specifically comprising the following steps: According to the hydrogen gas consumption amount of methanol H , the target value of hydrogen gas required for synthesizing methanol per hour is calculated , minimum value and maximum value , as follows: ； According to the power consumption of electrolysis of water to produce hydrogen HU , calculate the hourly electrolysis of water to produce hydrogen power consumption target value , minimum value , maximum value , the formula is as follows: ； S23: Calculate the target value of total power consumption of synthesizing methanol and hydrogen produced by electrolysis of water per hour minimum value maximum value The formula is as follows: 。 2. The wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method according to claim 1, characterized in that, The target basic data is hourly output data; and the target basic data in the S1 comprises the following: time-of-use electricity price of industrial and commercial electricity in the project location, unit prices of construction period investment cost and operation period maintenance cost of wind power, photovoltaic power, hydrogen production, hydrogen storage, and methanol production, project life cycle, discount rate, water consumption, and methanol sales price.

3. The wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method according to claim 1, characterized in that, The S2 comprises the following steps: setting the wind power traversal step and the photovoltaic power traversal step as 10; setting the lower limit of wind power installed capacity as 200 MW and the upper limit of wind power installed capacity as 1000 MW; setting the lower limit of photovoltaic power installed capacity as 200 MW and the upper limit of photovoltaic power installed capacity as 1000 MW.

4. The wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method according to claim 1, characterized in that, The S3 comprises the following steps: S31: Calculate hourly wind and solar power generation, specifically including hourly calculations based on the per-unit value of wind power output. Initial installed capacity of wind power Photovoltaic output per unit value Initial installed capacity of photovoltaic power Calculate wind and solar power generation ;in, i = 1, 2, 3, ..., 8760 k = , ... , The following relationship must be satisfied: ； S32: judging whether hourly wind-solar power generation meets the demand for synthesizing methanol and water electrolysis-hydrogen, and calculating system load ratio ML; S33: Calculate the hourly methanol production amount , methanol production power consumption , methanol production power consumption shortage , wind and solar power consumption , wind and solar power remaining after methanol production , the formula is as follows: ； In the formula, represents the unit hour system methanol target value, represents the hourly synthesis methanol power consumption target value, represents the hourly methanol synthesis required power, represents the hourly wind power, photovoltaic power generation; S34: Calculate the amount of hydrogen produced by electrolysis of water required for hourly methanol load , hydrogen production amount by wind and solar power supply for methanol load , hydrogen production power consumption amount by wind and solar power supply for methanol load , remaining amount of wind and solar power after methanol production and hydrogen production by electrolysis of water , satisfy the following relationship: ； In the formula, H represents the hydrogen consumption of methanol, HU represents the electricity consumption of hydrogen production by water electrolysis; When the wind and light power generation is insufficient to meet the minimum load requirement of system operation, the alcohol production power consumption under power grid power-off and hydrogen production power consumption under power grid power-off The calculation formula is as follows: ； After meeting the hydrogen and electricity required for corresponding methanol production, the amount of green electricity S The calculation formula is as follows: ； S35: Calculate the actual methanol production for the year The formula is as follows: ； S36: According to the time-of-use electricity price , each link grid point quantity calculation of annual grid electricity cost , the formula is as follows: 。 5. The wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method according to claim 4, characterized in that, The S32 comprises the following steps: When the wind and light power generation amount is less than the minimum value of the total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water : ML = 0.5 ; wherein is the lower limit of the range of production load fluctuations for the methanol synthesis plant; When the wind and light power generation is greater than the minimum value of the total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water and less than the maximum value of the total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water and less than the maximum value of the total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water : ML = 0.5 ; wherein represents the total electricity consumption for the synthesis of methanol and the production of hydrogen by electrolysis of water; When the wind and light power generation is greater than the maximum value of the total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water when the wind and light power generation is greater than the maximum value of the total power consumption for synthesizing methanol and hydrogen produced by electrolysis of water ​ ML = 0.5 y ; In the formula, is the upper limit of the range of production load fluctuations for the methanol synthesis plant.

6. The wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration method according to claim 1, characterized in that, Before the S5, the method further comprises the following steps: building a dynamic electronic spreadsheet model for quantitatively analyzing economic feasibility of a project as a financial calculation model based on Excel software.

7. A wind-solar-storage-hydrogen-ammonia-alcohol capacity optimization configuration system, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, The processor executes the computer program to realize the steps of the method in any one of claims 1 to 6.

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