Hydrogen refueling station site selection method and system

Abstract

The invention belongs to the field of hydrogen energy, particularly relates to a hydrogen refueling station site selection method and system, and aims at solving the problem that an existing hydrogen refueling station site selection method is poor in robustness. The method comprises the following steps: acquiring a site selection scheme; constructing a hydrogen refueling station site selection evaluation model; determining income values of different hydrogen refueling station site selection schemes; and performing scheme verification on the hydrogenation price and the same-calorific-value price of surrounding diesel oil, gasoline, electric energy and other energy sources, otherwise, re-determining a new site selection scheme. According to the method, the robustness of the hydrogen refueling station site selection method is effectively improved. Compared with a traditional method for site selection based on a gas station / gas station network or near an area where hydrogen energy vehicles frequently appear, the hydrogen refueling station site selection method provided by the invention is specially aimed at actual hydrogen requirements; and when different hydrogen refueling station site selection schemes are compared, the hydrogen refueling and hydrogen refueling combined building station, the out-of-station hydrogen supply and in-station hydrogen production and the difference of different hydrogen refueling amounts can be considered, so that the method has very high application value in hydrogen refueling station site selection.

Description

Technical Field

[0001] The present invention belongs to the field of hydrogen energy, and in particular relates to a method and system for selecting a site for a hydrogen refueling station. Background Art

[0003] With the rapid growth in the number of hydrogen-powered vehicles, the pace of construction of hydrogen refueling stations will continue to accelerate.

[0004] At present, my country has newly built / co-built 218 hydrogen refueling stations (data as of the end of 2021), but the site selection of hydrogen refueling stations still faces huge challenges. Because the construction and operation of hydrogen refueling stations require a lot of investment, and the different number of hydrogen-powered vehicles in different regions will lead to large differences in the revenue of hydrogen refueling stations in different locations. Therefore, a reasonable layout of hydrogen refueling stations can not only increase the revenue of hydrogen refueling stations themselves, but also play a role in alleviating urban traffic pressure.

[0005] At present, the following two methods are mainly used for the site selection of hydrogen refueling stations: first, the site selection is in the existing gas station / gas station network. The disadvantage of this method is that it does not take into account the actual hydrogen demand; second, the site selection is manually near the area where hydrogen-powered vehicles often appear. This method is highly subjective and lacks rigorous scientific basis. Therefore, in the face of the rapid development of hydrogen refueling stations, it is urgent to develop a scientific and practical method for the site selection of hydrogen refueling stations. Summary of the invention

[0006] In order to solve the above problems in the prior art, that is, to solve the problem that the existing hydrogenation station site selection method has poor robustness, the present invention proposes a hydrogenation station site selection method, which includes:

[0007] Step S1, obtaining different site selection schemes for a hydrogen refueling station to be constructed, wherein the site selection scheme includes the type of hydrogen refueling station, the amount of hydrogen refueling, and data of various factors that have an impact on the site selection of the hydrogen refueling station;

[0008] Step S2, constructing a hydrogen station site selection evaluation model based on various factors affecting the site selection of the hydrogen station, with the goal of maximizing the operating income of the hydrogen station, wherein the hydrogen station site selection evaluation model includes a target layer, a constraint layer, and a solution layer;

[0009] Step S3, determining the weight values ​​of each factor in the constraint layer of the hydrogen station site selection evaluation model by the vector similarity method, and normalizing the actual values ​​of each factor in the constraint layer of different hydrogen station site selection schemes and multiplying them by the corresponding weight values, and the algebraic sum thereof is the benefit value of different hydrogen station site selection schemes;

[0010] Step S4, obtaining the hydrogenation price of the hydrogenation station corresponding to the site selection plan with the highest profit value; if the hydrogenation price is lower than the maximum value of the price of alternative energy under the same calorific value conditions, then the site selection plan is used as the final selected plan, otherwise jump to step S10; the alternative energy includes diesel, gasoline and electricity.

[0011] In some preferred embodiments, the types of hydrogen refueling stations include off-site hydrogen supply type hydrogen refueling stations, off-site hydrogen supply type hydrogen refueling combined stations, on-site hydrogen production type hydrogen refueling stations and on-site hydrogen production type hydrogen refueling combined stations; the hydrogen refueling amounts include 200 kg / day, 500 kg / day and 1000 kg / day.

[0012] In some preferred embodiments, the target layer is the site selection of the hydrogen refueling station; the constraint layer includes the cost of hydrogen entering the station, construction cost, operation and maintenance cost, total revenue, government support amount, influence of surrounding energy sites, influence of nearby characteristics, influence of gas refueling on hydrogen refueling, and influence of refueling on hydrogen refueling; the plan layer is different site selection plans for the hydrogen refueling station to be built.

[0013] In some preferred embodiments, the weight values ​​of the factors in the constraint layer in the hydrogen station site selection evaluation model are determined by the vector similarity method, and the method is:

[0014] Step S31, taking the operating income of the hydrogen refueling station as the target, distinguishing the extremely large factors and the extremely small factors in the factors of the constraint layer, wherein the extremely large factors refer to factors whose larger values ​​bring better benefits to the hydrogen refueling station, and the extremely small factors refer to factors whose smaller values ​​bring better benefits to the hydrogen refueling station;

[0015] Step S32, determining the ideal value, upper limit value and lower limit value of each factor in the constraint layer according to the optimal operation of the hydrogen refueling station, wherein the ideal value is equivalent to the upper limit value in the extremely large factor and is equivalent to the lower limit value in the extremely small factor;

[0016] Step S33, dimensionless processing is performed on the actual data of each factor of the constraint layer, and the processed data constitutes the index vector X of different factors, the method is as follows: For very large factors, x′=(xm) / (Mm) For very small factors, x′=(Mx) / (Mm) Among them, M and m are the upper and lower limits allowed by the actual data of factor x respectively;

[0017] Step S34, taking the ideal value of each factor in the constraint layer as x, substituting it into the formula in the above step S33 for dimensionless processing, and the processed data constitutes the comprehensive indicator vector Y;

[0018] Step S35, the similarity between the index vector X of the different factors and the comprehensive index vector Y is γ, and the obtained similarity is normalized and used as the weight value of each factor; the similarity includes the similarity of vector size and vector direction.

[0019] In some preferred embodiments, the similarity γ between the index vector X of different factors and the comprehensive index vector Y is obtained by: γ=α·β Among them, α represents the similarity of vector size, and β represents the similarity of vector direction.

[0020] In some preferred embodiments, the similarity α of the vector size is obtained by: Where |X| and |Y| are the moduli of vector X and vector Y respectively.

[0021] In some preferred embodiments, the similarity β of the vector direction is obtained by:

[0022] In a second aspect of the present invention, a hydrogen refueling station site selection system is proposed, comprising the following modules:

[0023] A scheme acquisition module is configured to acquire different site selection schemes for the hydrogen refueling station to be constructed; the site selection scheme includes the type of hydrogen refueling station, the amount of hydrogen refueling, and data of various factors that have an impact on the site selection of the hydrogen refueling station;

[0024] A model building module is configured to build a hydrogen station site selection evaluation model based on various factors affecting the site selection of the hydrogen station, with the goal of maximizing the operating income of the hydrogen station, and the hydrogen station site selection evaluation model includes a target layer, a constraint layer and a solution layer;

[0025] The benefit value acquisition module is configured to determine the weight values ​​of each factor of the constraint layer in the hydrogen station site selection evaluation model by using a vector similarity method, and normalize the actual values ​​of each factor of the constraint layer in different hydrogen station site selection schemes and multiply them by the corresponding weight values, and the algebraic sum thereof is the benefit value of different hydrogen station site selection schemes;

[0026] The scheme verification module is configured to obtain the hydrogen refueling price of the hydrogen refueling station corresponding to the site selection scheme with the highest profit value; if the hydrogen refueling price is lower than the maximum value of the replaceable energy prices under the same calorific value conditions, then the site selection scheme is used as the final selected scheme; otherwise, jump to the scheme acquisition module; the replaceable energy includes diesel, gasoline and electricity.

[0027] Beneficial effects of the present invention:

[0028] The present invention improves the robustness of the existing hydrogen station site selection method.

[0029] The present invention provides a method and system for site selection of hydrogen refueling stations, which make up for the shortcomings in the corresponding fields. Compared with the traditional site selection method based on the network of gas stations / petrol stations or near the areas where hydrogen energy vehicles often appear, the site selection method of hydrogen refueling stations provided by the present invention is specifically aimed at the actual demand for hydrogen, and is measured from nine aspects such as the cost of hydrogen entering the station and the construction cost; and when comparing different site selection plans for hydrogen refueling stations, it can take into account the differences in hydrogen refueling and hydrogen refueling combined stations, hydrogen supply outside the station and hydrogen production inside the station, and different hydrogenation amounts. In addition, the present invention determines the weight of each factor based on real field survey data and an objective vector similarity method, so the final conclusion is true and reliable, and thus has a very high application value in the site selection of hydrogen refueling stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Other features, objectives and advantages of the present invention will become more apparent from a reading of the detailed description of non-limiting embodiments made with reference to the following accompanying drawings.

[0031] Figure 1 It is a schematic diagram of a process of a hydrogen refueling station site selection method according to an embodiment of the present invention;

[0032] Figure 2 It is a structural schematic diagram of a hydrogen refueling station site selection evaluation model according to an embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution in the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant inventions, rather than to limit the invention. It should be noted that, in the absence of conflict, the embodiments in this application and the features in the embodiments can be combined with each other.

[0035] A method for selecting a site for a hydrogen refueling station according to a first embodiment of the present invention is as follows: Figure 1 As shown, the following steps are included:

[0036] Step S1, obtaining different site selection schemes for a hydrogen refueling station to be constructed, wherein the site selection scheme includes the type of hydrogen refueling station, the amount of hydrogen refueling, and data of various factors that have an impact on the site selection of the hydrogen refueling station;

[0037] Step S2, constructing a hydrogen station site selection evaluation model based on various factors affecting the site selection of the hydrogen station, with the goal of maximizing the operating income of the hydrogen station, wherein the hydrogen station site selection evaluation model includes a target layer, a constraint layer, and a solution layer;

[0038] Step S3, determining the weight values ​​of each factor in the constraint layer of the hydrogen station site selection evaluation model by the vector similarity method, and normalizing the actual values ​​of each factor in the constraint layer of different hydrogen station site selection schemes and multiplying them by the corresponding weight values, and the algebraic sum thereof is the benefit value of different hydrogen station site selection schemes;

[0039] Step S4, obtaining the hydrogenation price of the hydrogenation station corresponding to the site selection scheme with the highest profit value; if the hydrogenation price is lower than the maximum value of the alternative energy prices under the same calorific value conditions, then the site selection scheme is used as the final selected scheme, otherwise jump to step S1; the alternative energy includes diesel, gasoline and electricity.

[0040] In order to more clearly illustrate a method for site selection of a hydrogen refueling station according to the present invention, each step is described in detail in an embodiment below in conjunction with the accompanying drawings.

[0041] Step S1, obtaining different site selection schemes for a hydrogen refueling station to be constructed, wherein the site selection scheme includes the type of hydrogen refueling station, the amount of hydrogen refueling, and data of various factors that have an impact on the site selection of the hydrogen refueling station.

[0042] In this embodiment, assuming that City A plans to build a hydrogen refueling station, it is preferred to determine three hydrogen refueling station site selection plans at three different locations, as follows:

[0043] Hydrogen refueling station 1: an off-site hydrogen supply station with a hydrogen refueling capacity of 1,000 kg / day;

[0044] Hydrogenation Station 2: A hydrogenation and gasification station with an on-site hydrogen production capacity of 200 kg / day;

[0045] Hydrogen refueling station 3: an off-site hydrogen supply station with a hydrogen refueling capacity of 500 kg / day.

[0046] Therefore, the types of hydrogen refueling stations include but are not limited to off-site hydrogen supply type hydrogen refueling stations, off-site hydrogen supply type hydrogen refueling combined stations, on-site hydrogen production type hydrogen refueling stations and on-site hydrogen production type hydrogen refueling combined stations; the hydrogen refueling capacity includes but is not limited to 200 kg / day, 500 kg / day and 1000 kg / day.

[0047] In this embodiment, basic data of different hydrogen refueling station site selection plans are obtained through investigation, as shown in Table 1.

[0048] Table 1 Constraint layer factors Hydrogen refueling station 1 Hydrogen refueling station 2 Hydrogen refueling station 3 Hydrogen station entry cost (10,000 yuan) 22850(-) 12855(-) 19162.5(-) Construction cost (ten thousand yuan) 1800(-) 800(-) 1000(-) Operation and maintenance cost (ten thousand yuan) 800(-) 400(-) 500(-) Total income (ten thousand yuan) 43800(+) 28045(+) 34637.5(+) Government support amount (10,000 yuan) 800(+) 600(+) 300(+) Impact of surrounding energy sites 2％(-) 1％(-) 1％(-) Nearby Features 3％(+) 5％(+) 0 Effect of Gas Addition on Hydrogenation 0 2％(-) 0 The impact of refueling on hydrogenation 0 0 2％(-)

[0049] Table 1 shows the basic data of different hydrogen refueling station site selection plans in City A, and lists the actual values ​​of the factors in the constraint layer of different hydrogen refueling station site selection plans. It is worth noting that the site selection of hydrogen refueling stations is a comprehensive evaluation model oriented towards revenue. Therefore, the values ​​involved in the table are marked with "(+)" if they have a positive effect on the revenue of hydrogen refueling stations, and marked with "(-)" if they have a negative effect on the revenue of hydrogen refueling stations. In addition, the cost of hydrogen entering the station, operation and maintenance costs, and total revenue are calculated based on the total operating time of the hydrogen refueling station for 30 years.

[0050] Step S2, constructing a hydrogen station site selection evaluation model based on various factors affecting the site selection of the hydrogen station, with the goal of maximizing the operating income of the hydrogen station. The hydrogen station site selection evaluation model includes a target layer, a constraint layer and a solution layer.

[0051] According to the factors affecting the site selection of hydrogen refueling stations, a hydrogen refueling station site selection evaluation model is constructed, with the goal of maximizing the hydrogen refueling station revenue. The hydrogen refueling station site selection evaluation model includes a target layer, a constraint layer, and a solution layer. Figure 2 The target layer is the site selection of hydrogen refueling stations; the constraint layer includes the hydrogen entry cost, construction cost, operation and maintenance cost, total revenue, government support quota, the impact of surrounding energy stations, the impact of nearby characteristics, the impact of gas refueling on hydrogen refueling, and the impact of gasoline refueling on hydrogen refueling; the plan layer is the different site selection plans for the hydrogen refueling stations to be built.

[0052] Step S3, determine the weight value of each factor in the constraint layer of the hydrogen station site selection evaluation model by using the vector similarity method, and normalize the actual value of each factor in the constraint layer of different hydrogen station site selection schemes and multiply it by the corresponding weight value, and the algebraic sum is the benefit value of different hydrogen station site selection schemes.

[0053] In this embodiment, the weight values ​​of the factors in the constraint layer of the hydrogen station site selection evaluation model are determined by the vector similarity method, and the method is as follows:

[0054] Step S31, taking the operating income of the hydrogen refueling station as the goal, distinguishing the extremely large factors and the extremely small factors in the constraint layer factors, wherein the extremely large factors refer to factors whose larger values ​​bring better benefits to the hydrogen refueling station, and the extremely small factors refer to factors whose smaller values ​​bring better benefits to the hydrogen refueling station.

[0055] In this embodiment, the extremely large factors are determined to be total revenue, government support amount, and nearby characteristics; the extremely small factors are hydrogen station entry cost, construction cost, operation and maintenance cost, the impact of surrounding energy sites, the impact of gas refueling on hydrogen refueling, and the impact of refueling on hydrogen refueling.

[0056] Step S32, according to the optimal operation of the hydrogen refueling station, determine the ideal value and the upper and lower limits of each factor in the constraint layer, wherein the ideal value is equivalent to the upper limit in the extremely large factor and is equivalent to the lower limit in the extremely small factor.

[0057] In this embodiment, the ideal value, upper limit value and lower limit value of each factor in the constraint layer are determined (in different embodiments, the upper limit value and lower limit value can be set according to actual conditions), see Table 2 for details.

[0058] Table 2 Constraint layer factors Hydrogen refueling station 1 Hydrogen refueling station 2 Hydrogen refueling station 3 Ideal value Upper limit Lower limit Hydrogen station entry cost (10,000 yuan) 22850 12855 19162.5 6000 25000 - Construction cost (ten thousand yuan) 1800 800 1000 400 2500 - Operation and maintenance cost (ten thousand yuan) 800 400 500 300 1500 - Total income (ten thousand yuan) 43800 28045 34637.5 50000 - 10000 Government support amount (10,000 yuan) 800 600 300 1000 - 200 Impact of surrounding energy sites 2％ 1％ 1％ 0％ 5％ - Nearby Features 3％ 5％ 0 10％ - 0％ Effect of Gas Addition on Hydrogenation 0 2％ 0 0％ 5％ - The impact of refueling on hydrogenation 0 0 2％ 0％ 5％ -

[0059] Step S33, dimensionless processing is performed on the actual data of each factor of the constraint layer, and the processed data constitutes the index vector X of different factors, the method is as follows: For very large factors, x′=(xm) / (Mm) (1) For very small factors, x′=(Mx) / (Mm) (2) Among them, M and m are the upper and lower limits allowed by the actual data of factor x.

[0060] In this embodiment, according to formulas (1) and (2), the index vector X of different factors of the dimensionless processed data can be obtained, which is as follows: Hydrogen entry cost X1 = (0.11, 0.64, 0.31); Construction cost X2 = (0.33, 0.81, 0.71); Operation and maintenance cost X3 = (0.58, 0.92, 0.83); Total revenue X4 = (0.85, 0.45, 0.62); Government support amount X5 = (0.75, 0.50, 0.13); The impact of surrounding energy sites X6 = (0.60, 0.80, 0.80); The influence of nearby features X7 = (0.30, 0.50, 0.00); Effect of gasification on hydrogenation X8 = (1.00, 0.60, 1.00); The impact of refueling on hydrogenation is X9 = (1.00, 1.00, 0.60). Note: The three elements in the above vector represent the dimensionless data of each factor in the three hydrogen station site selection schemes.

[0061] Step S34, taking the ideal value of each factor in the constraint layer as x, substitute it into the formula in the above step S33 for dimensionless processing, and the processed data constitutes the comprehensive indicator vector Y.

[0062] In this embodiment, according to formulas (1) and (2), the dimensionless processed data can be obtained to form a comprehensive indicator vector Y=(1, 1, 1).

[0063] Step S35, the similarity between the index vector X of the different factors and the comprehensive index vector Y is γ, and the obtained similarity is normalized and used as the weight value of each factor; the similarity includes the similarity of vector size and vector direction.

[0064] The similarity γ between the index vector X of different factors and the comprehensive index vector Y is obtained by:

[0065] γ=α·β(3)

[0066] Among them, α represents the similarity of vector size, and β represents the similarity of vector direction.

[0067] The similarity α of the vector size is obtained by:

[0068] Where |X| and |Y| are the magnitudes of vector X and vector Y respectively.

[0069] The similarity β of the vector direction is obtained by:

[0070] In this embodiment, it can be obtained that α1=0.41, α2=0.65, α3=0.79, α4=0.66, α5=0.53, α6=0.74, α7=0.34, α8=0.89, and α9=0.89.

[0071] In this embodiment, it can be obtained that β1=0.65, β2=0.80, β3=0.89, β4=0.84, β5=0.67, β6=0.92, β7=0.58, β8=0.86, and β9=0.86.

[0072] In this embodiment, it can be obtained that γ1=0.27, γ2=0.52, γ3=0.70, γ4=0.55, γ5=0.35, γ6=0.68, γ7=0.20, γ8=0.77, and γ9=0.77.

[0073] Normalize the similarity γ obtained above to get the weight of each indicator, see Table 3 for details.

[0074] Table 3

[0075] The data obtained by normalizing the actual values ​​of each factor in the constraint layer of different hydrogen refueling station site selection plans are shown in Table 4.

[0076] Table 4

[0077] The actual values ​​of the factors in the constraint layer of different hydrogen station site selection schemes are normalized and multiplied by the corresponding weight values. The algebraic sum (i.e., the sum after multiplication) is the benefit value of different hydrogen station site selection schemes, see Table 5 for details.

[0078] Table 5 Constraint layer factors Hydrogen refueling station 1 Hydrogen refueling station 2 Hydrogen refueling station 3 Hydrogen station cost 0.90 0.91 0.93 Construction costs 0.07 0.06 0.05 Operation and maintenance costs 0.03 0.03 0.02 Total revenue 0.98 0.98 0.99 Government support amount 0.02 0.02 0.01 Impact of surrounding energy sites 0.40 0.13 0.33 Nearby Features 0.60 0.63 0.00 Effect of Gas Addition on Hydrogenation 0.00 0.25 0.00 The impact of refueling on hydrogenation 0.00 0.00 0.67 Revenue Value 0.02 0.02 -0.10

[0079] Step S4, obtaining the hydrogenation price of the hydrogenation station corresponding to the site selection scheme with the highest profit value; if the hydrogenation price is lower than the maximum value of the price of alternative energy under the same calorific value conditions, then the site selection scheme is used as the final selected scheme; otherwise, jump to step S1; the alternative energy includes diesel, gasoline and electricity.

[0080] The affordable price of hydrogen for users depends mainly on two factors: the purchasing power of users and the substitution capacity of hydrogen. The purchasing power of users is related to the financial status of users and the subsequent market price of products; while the substitution capacity of hydrogen is mainly related to competitive energy sources.

[0081] Since hydrogen in this application is mainly used as a substitute for vehicle fuel, the basic method of calculation is to use hydrogen as a substitute for the current price and replacement cost of energy.

[0082] Since the calorific value of energy from different sources is different, for the convenience of calculation, in the process of measurement, the calorific value of relevant fuels is based on the "China Energy Statistical Yearbook", hydrogen 140MJ / kg, natural gas 35MJ / Nm3, 92# gasoline 44MJ / kg, 0# diesel 42MJ / kg, electricity 3.6MJ / kW·h, and the calorific value depends on the situation in each region. At the same time, considering that the mechanical efficiency of internal combustion engines is about 36% according to current technology, the efficiency of hydrogen fuel cell vehicles from hydrogen energy to electrical energy is 55%, the efficiency of electrical energy to mechanical energy is 90%, and the mechanical efficiency is about 50%. Therefore, the efficiency conversion of internal combustion locomotives and hydrogen fuel cell vehicles is carried out according to the efficiency conversion coefficient of 1.39; lithium batteries do not have the problem of efficiency conversion to electrical energy, and the efficiency of electrical energy to mechanical energy is also 90%. Therefore, electric vehicles and hydrogen fuel cell vehicles are converted according to the efficiency conversion coefficient of 0.55.

[0083] With reference to the price changes of various alternative energy sources in the target market in recent years, the price ratios of various energy sources are detailed in Table 6.

[0084] Table 6

[0085] Currently, due to the high transportation and production costs of hydrogen, the terminal sales price of hydrogen at hydrogen refueling stations is about 35 to 50 yuan / kg, and there is the possibility of replacing diesel and gasoline.

[0086] The objectivity of the analytic hierarchy process can be effectively increased by combining it with the vector similarity method; however, it can only be selected from the given hydrogen station site selection schemes, and no new and better strategies can be given. Therefore, the criterion of the same calorific value energy price ratio is added, and the site selection scheme of the hydrogen station that does not meet the criterion needs to be re-determined until it has a price competitive advantage.

[0087] A hydrogen refueling station site selection system according to a second embodiment of the present invention includes the following modules:

[0088] A scheme acquisition module is configured to acquire different site selection schemes for the hydrogen refueling station to be constructed; the site selection scheme includes the type of hydrogen refueling station, the amount of hydrogen refueling, and data of various factors that have an impact on the site selection of the hydrogen refueling station;

[0089] A model building module is configured to build a hydrogen station site selection evaluation model based on various factors affecting the site selection of the hydrogen station, with the goal of maximizing the operating income of the hydrogen station, and the hydrogen station site selection evaluation model includes a target layer, a constraint layer and a solution layer;

[0090] The benefit value acquisition module is configured to determine the weight values ​​of each factor of the constraint layer in the hydrogen station site selection evaluation model by using a vector similarity method, and normalize the actual values ​​of each factor of the constraint layer in different hydrogen station site selection schemes and multiply them by the corresponding weight values, and the algebraic sum thereof is the benefit value of different hydrogen station site selection schemes;

[0091] The scheme verification module is configured to obtain the hydrogen refueling price of the hydrogen refueling station corresponding to the site selection scheme with the highest profit value; if the hydrogen refueling price is lower than the maximum value of the replaceable energy prices under the same calorific value conditions, then the site selection scheme is used as the final selected scheme; otherwise, jump to the scheme acquisition module; the replaceable energy includes diesel, gasoline and electricity.

[0092] Those skilled in the relevant art can clearly understand that, for the convenience and brevity of description, the specific working process and related instructions of the above system can refer to the corresponding process in the aforementioned embodiment, and will not be repeated here.

[0093] It should be noted that the hydrogen station site selection system provided in the above embodiment is only described in terms of functional module division. In practical applications, the above functions can be assigned to different modules as needed, that is, the modules or steps in the embodiments of the present invention can be decomposed or recombined. For example, the modules in the above embodiments can be combined into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing between the modules or steps, and are not regarded as improper limitations on the present invention.

[0094] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings, but it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A method for selecting a site for a hydrogen refueling station, characterized in that: The following steps are involved: Step S1, obtaining different site selection schemes for a hydrogen refueling station to be constructed, wherein the site selection scheme includes the type of hydrogen refueling station, the amount of hydrogen refueling, and data of various factors that have an impact on the site selection of the hydrogen refueling station; Step S2, constructing a hydrogen station site selection evaluation model based on various factors affecting the site selection of the hydrogen station, with the goal of maximizing the operating income of the hydrogen station, wherein the hydrogen station site selection evaluation model includes a target layer, a constraint layer, and a solution layer; Step S3, determining the weight values ​​of each factor in the constraint layer of the hydrogen station site selection evaluation model by the vector similarity method, and normalizing the actual values ​​of each factor in the constraint layer of different hydrogen station site selection schemes and multiplying them by the corresponding weight values, and the algebraic sum thereof is the benefit value of different hydrogen station site selection schemes; Step S4, obtaining the hydrogenation price of the hydrogenation station corresponding to the site selection scheme with the highest profit value; if the hydrogenation price is lower than the maximum value of the alternative energy prices under the same calorific value conditions, then the site selection scheme is used as the final selected scheme, otherwise jump to step S1; the alternative energy includes diesel, gasoline and electricity.

2. A method for selecting a hydrogen refueling station site according to claim 1, characterized in that: The types of hydrogen refueling stations include off-site hydrogen supply type hydrogen refueling stations, off-site hydrogen supply type hydrogen refueling combined stations, on-site hydrogen production type hydrogen refueling stations and on-site hydrogen production type hydrogen refueling combined stations; the hydrogen refueling capacity includes 200 kg / day, 500 kg / day and 1000 kg / day.

3. A method for selecting a site for a hydrogen refueling station according to claim 1, characterized in that: The target layer is the site selection for the hydrogen refueling station; the constraint layer includes the cost of hydrogen entering the station, construction cost, operation and maintenance cost, total revenue, government support amount, impact of surrounding energy stations, impact of nearby characteristics, impact of gas refueling on hydrogen refueling, and impact of gasoline refueling on hydrogen refueling; the plan layer is the different site selection plans for the hydrogen refueling station to be built.

4. A method for selecting a site for a hydrogen refueling station according to claim 1, characterized in that: The weight values ​​of each factor in the constraint layer of the hydrogen station site selection evaluation model are determined by the vector similarity method. The method is as follows: Step S31, taking the operating income of the hydrogen refueling station as the target, distinguishing the extremely large factors and the extremely small factors in the factors of the constraint layer, wherein the extremely large factors refer to factors whose larger values ​​bring better benefits to the hydrogen refueling station, and the extremely small factors refer to factors whose smaller values ​​bring better benefits to the hydrogen refueling station; Step S32, determining the ideal value, upper limit value and lower limit value of each factor in the constraint layer according to the optimal operation of the hydrogen refueling station, wherein the ideal value is equivalent to the upper limit value in the extremely large factor and is equivalent to the lower limit value in the extremely small factor; Step S33, dimensionless processing is performed on the actual data of each factor of the constraint layer, and the processed data constitutes the index vector X of different factors, the method is as follows: For very large factors, x′=(xm) / (Mm) For very small factors, x′=(Mx) / (Mm) Among them, M and m are the upper and lower limits allowed by the actual data of factor x respectively; Step S34, taking the ideal value of each factor in the constraint layer as x, substituting it into the formula in the above step S33 for dimensionless processing, and the processed data constitutes the comprehensive indicator vector Y; Step S35, the similarity between the index vector X of the different factors and the comprehensive index vector Y is γ, and the obtained similarity is normalized and used as the weight value of each factor; the similarity includes the similarity of vector size and vector direction.

5. A method for selecting a site for a hydrogen refueling station according to claim 4, characterized in that: The similarity γ between the index vector X of different factors and the comprehensive index vector Y is obtained by: γ=α·β Among them, α represents the similarity of vector size, and β represents the similarity of vector direction.

6. A method for selecting a site for a hydrogen refueling station according to claim 5, characterized in that: The similarity α of the vector size is obtained by: Where |X| and |Y| are the magnitudes of vector X and vector Y respectively.

7. A method for selecting a site for a hydrogen refueling station according to claim 5, characterized in that: The similarity β of the vector direction is obtained by:

8. A hydrogen refueling station site selection system, characterized in that: Includes the following modules: A scheme acquisition module is configured to acquire different site selection schemes for the hydrogen refueling station to be constructed; the site selection scheme includes the type of hydrogen refueling station, the amount of hydrogen refueling, and data of various factors that have an impact on the site selection of the hydrogen refueling station; A model building module is configured to build a hydrogen station site selection evaluation model based on various factors affecting the site selection of the hydrogen station, with the goal of maximizing the hydrogen station revenue, wherein the hydrogen station site selection evaluation model includes a target layer, a constraint layer, and a solution layer; The benefit value acquisition module is configured to determine the weight values ​​of each factor of the constraint layer in the hydrogen station site selection evaluation model by using a vector similarity method, and normalize the actual values ​​of each factor of the constraint layer in different hydrogen station site selection schemes and multiply them by the corresponding weight values, and the algebraic sum thereof is the benefit value of different hydrogen station site selection schemes; A scheme verification module is configured to obtain the hydrogen refueling price of the hydrogen refueling station corresponding to the site selection scheme with the highest profit value; If the hydrogenation price is lower than the maximum price of alternative energy under the same calorific value conditions, the site selection plan will be used as the final selected plan; otherwise, jump to the plan acquisition module; the alternative energy includes diesel, gasoline and electricity.

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