A method and system for planning layout of oil-hydrogen co-construction station considering hydrogen demand response

Abstract

The application provides an oil-hydrogen combined station layout planning method and system considering hydrogen demand response, and belongs to the field of oil-hydrogen combined station planning. The oil-hydrogen combined station layout planning method comprises the following steps: determining the hydrogen demand distribution of a research area according to the locations of communities in the research area and the daily total hydrogen demand of each community; determining the potential oil-hydrogen combined station location distribution in the research area; based on the hydrogen demand distribution of the research area and the potential oil-hydrogen combined station location distribution, taking the minimum total installed capacity of hydrogen of the oil-hydrogen combined station, the minimum total distance required for hydrogenation of each community and the maximum carbon emission reduction of the oil-hydrogen combined station as the target, determining a comprehensive optimization target function; based on the comprehensive optimization target function, the installed capacity constraint and the supply-demand constraint, determining an oil-hydrogen combined station layout model, and solving the oil-hydrogen combined station layout model to obtain the final distribution location of the oil-hydrogen combined station. The response of hydrogen demand is fully considered, the rationality of the location of the oil-hydrogen combined station is improved, and the social resource investment for building the station is saved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of oil and hydrogen co-constructed station planning, and particularly relates to an oil and hydrogen co-constructed station layout planning method and system considering hydrogen demand response. BACKGROUND

[0002] Hydrogen energy is regarded as the "ultimate energy" of the 21st century due to its carbon-free, high energy density, wide availability, and storability. With the intensification of global climate crisis and the acceleration of energy transformation, hydrogen energy will play a major positive role in achieving carbon neutralization for countries. Building hydrogen refueling infrastructure is an important foundation and core component of the development of the hydrogen energy industry, and reasonable hydrogen refueling infrastructure capacity layout planning is the key to ensuring efficient use of social resources, which is conducive to improving the energy satisfaction of residents.

[0003] Building hydrogen refueling stations on the basis of gas stations can effectively reduce the difficulty of hydrogen refueling station layout and site selection, and significantly avoid the increase in the number of dangerous places. By fully utilizing the location of existing gas stations and the distribution of potential hydrogen demand, and considering the demands of multiple subjects, redundant installed capacity can be reduced, social resource utilization can be improved, and hydrogen refueling station site selection and capacity layout can be constructed to maximize social welfare. At present, there are few studies on the layout planning of oil and hydrogen co-constructed stations, and the potential hydrogen demand of the society cannot be fully tapped to benefit the layout planning of oil and hydrogen co-constructed stations. SUMMARY

[0004] The purpose of the present application is to provide an oil and hydrogen co-constructed station layout planning method and system considering hydrogen demand response, which can reduce the social resource investment of station construction and improve the rationality of the location of oil and hydrogen co-constructed stations.

[0005] To achieve the above-mentioned purpose, the present application provides the following solutions:

[0006] An oil and hydrogen co-constructed station layout planning method considering hydrogen demand response, comprising:

[0007] obtaining the location of each district in a study area and the daily total hydrogen demand of each district;

[0008] determining the hydrogen demand distribution of the study area according to the location of each district in the study area and the daily total hydrogen demand of each district;

[0009] screening the gas stations in the study area according to the geographical location of the gas stations in the study area, and determining the potential oil and hydrogen co-constructed station location distribution in the study area;

[0010] based on the hydrogen demand distribution of the study area and the potential oil and hydrogen co-constructed station location distribution, determining a comprehensive optimization objective function with the minimum total installed capacity of hydrogen gas of oil and hydrogen co-constructed stations, the minimum total distance required for hydrogen refueling of each district, and the maximum carbon emission reduction of oil and hydrogen co-constructed stations as the target;

[0011] According to the upper limit and lower limit of installed capacity of the oil-hydrogen combined station, the installed capacity constraint is determined;

[0012] According to the daily total hydrogen demand of each cell and the installed capacity of each potential oil-hydrogen combined station, the supply-demand constraint is determined;

[0013] Based on the comprehensive optimization objective function, the installed capacity constraint and the supply-demand constraint, the oil-hydrogen combined station layout model is determined, and the oil-hydrogen combined station layout model is solved to obtain the distribution position and installed capacity of the final oil-hydrogen combined station in the research area.

[0014] Optionally, the acquisition of the position of each cell in the research area and the daily total hydrogen demand of each cell specifically comprises:

[0015] The position of each cell in the research area is acquired.

[0016] The total number of households in each cell, the proportion of households with hydrogen fuel vehicles in each cell, the daily hydrogen charging starting state of each fuel vehicle in each cell and the capacity of the hydrogen storage tank of the fuel vehicle are acquired.

[0017] For any cell, according to the total number of households in the cell, the proportion of households with hydrogen fuel vehicles in the cell, the daily hydrogen charging starting state of each fuel vehicle in the cell and the capacity of the hydrogen storage tank of the fuel vehicle, the daily total hydrogen demand of the cell is determined.

[0018] Optionally, the following formula is used to determine the daily total hydrogen demand of cell i:

[0019]

[0020] Wherein, a i is the daily total hydrogen demand of cell i, p i is the total number of households in cell i, k1 is the proportion of households with hydrogen fuel vehicles in cell i, α i,l is the daily hydrogen charging starting state of the lth fuel vehicle in cell i, C v is the capacity of the hydrogen storage tank of the fuel vehicle.

[0021] Optionally, the oil stations in the research area are screened according to the geographical positions of the oil stations in the research area to determine the position distribution of the potential oil-hydrogen combined stations in the research area, specifically comprising:

[0022] The geographical positions of the oil stations in the research area and the geographical positions of the existing hydrogen refueling stations are acquired.

[0023] According to geographical positions of each gas station and geographical positions of existing hydrogen stations, the gas stations in the central area of the research area, the gas stations outside the first set distance from the main roads in the research area and the gas stations within the second set distance from the existing hydrogen stations are removed, and the potential oil-hydrogen combined station position distribution in the research area is determined.

[0024] Optionally, based on the hydrogen demand distribution of the research area and the potential oil-hydrogen combined station position distribution, a comprehensive optimization objective function is determined with the minimum total hydrogen installed capacity of the oil-hydrogen combined station, the minimum total hydrogen demand of each subarea and the maximum carbon emission reduction of the oil-hydrogen combined station as the target, and the comprehensive optimization objective function specifically includes:

[0025] A first objective function is determined according to the total hydrogen installed capacity of each potential oil-hydrogen combined station.

[0026] The distance between each subarea and each potential oil-hydrogen combined station is determined according to the position of each subarea and the position of each potential oil-hydrogen combined station.

[0027] The hydrogen demand of each subarea consumed in each potential oil-hydrogen combined station is determined according to the hydrogen demand distribution of the research area and the potential oil-hydrogen combined station position distribution.

[0028] A second objective function is determined according to the hydrogen demand of each subarea consumed in each potential oil-hydrogen combined station and the distance between each subarea and each potential oil-hydrogen combined station.

[0029] A third objective function is determined according to the total hydrogen installed capacity of each potential oil-hydrogen combined station and the carbon emission reduction coefficient of the oil-hydrogen combined station.

[0030] The comprehensive optimization objective function is determined according to the first objective function, the second objective function and the third objective function.

[0031] Optionally, the second objective function is:

[0032]

[0033] wherein F2 is the second objective function value, m is the total number of subareas in the research area, n is the total number of potential oil-hydrogen combined stations, xi is the hydrogen demand of subarea i consumed in potential oil-hydrogen combined station j, and Di,j is the distance between subarea i and potential oil-hydrogen combined station j. i,j i,j

[0034] Optionally, the third objective function is:

[0035]

[0036] wherein F3 is the third objective function value, n is the total number of potential oil-hydrogen combined stations, and b is the carbon emission reduction coefficient of the oil-hydrogen combined station. j ​​E is the total installed capacity of hydrogen of the potential oil-hydrogen combined station j, and E is the carbon emission reduction coefficient of the oil-hydrogen combined station.

[0037] Optionally, the comprehensive optimization objective function is:

[0038]

[0039] Wherein, F is the value of the comprehensive optimization objective function, w1 is the weight of the first objective function, w2 is the weight of the second objective function, w3 is the weight of the third objective function, F 1,max is the maximum value of the first objective function, F 1,min is the minimum value of the first objective function, F 2,max is the maximum value of the second objective function, F 2,min is the minimum value of the second objective function, F 3,max is the maximum value of the third objective function, F 3,min is the minimum value of the third objective function, F1 is the value of the first objective function, F2 is the value of the second objective function, and F3 is the value of the third objective function.

[0040] Optionally, the supply and demand constraints are:

[0041]

[0042] Wherein, n is the total number of potential oil-hydrogen combined stations, x i,j is the hydrogen demand of cell i in the potential oil-hydrogen combined station j, x m+1,j is the reserved hydrogen demand of potential oil-hydrogen combined station j, a i is the daily total hydrogen demand of cell i, m is the total number of cells in the study area, and b j is the total installed capacity of hydrogen of the potential oil-hydrogen combined station j.

[0043] In order to achieve the above purpose, the present application also provides the following schemes:

[0044] A system for planning the layout of oil-hydrogen combined stations considering hydrogen demand response, comprising:

[0045] A demand amount acquisition unit for acquiring the location of each cell in the study area and the daily total hydrogen demand of each cell;

[0046] A demand amount distribution determination unit connected to the demand amount acquisition unit, for determining the hydrogen demand amount distribution of the study area according to the location of each cell in the study area and the daily total hydrogen demand of each cell;

[0047] A potential location distribution determination unit for screening the gas stations in the study area according to the geographical location of each gas station in the study area, and determining the potential oil-hydrogen combined station location distribution in the study area;

[0048] A target function determination unit, connected with the demand distribution determination unit and the potential location distribution determination unit, is configured to determine a comprehensive optimization target function based on the hydrogen demand distribution of the research area and the potential oil-hydrogen combined station location distribution, with the minimum total installed capacity of hydrogen of the oil-hydrogen combined station, the minimum total distance required for hydrogenation of each zone and the maximum carbon emission reduction of the oil-hydrogen combined station as the target;

[0049] An installed capacity constraint determination unit is configured to determine the installed capacity constraint according to the upper limit and the lower limit of the installed capacity of the oil-hydrogen combined station.

[0050] A supply-demand constraint determination unit, connected with the demand acquisition unit, is configured to determine the supply-demand constraint according to the daily total hydrogen demand of each zone and the installed capacity of each potential oil-hydrogen combined station.

[0051] A final distribution location determination unit, connected with the target function determination unit, the installed capacity constraint determination unit and the supply-demand constraint determination unit, is configured to determine an oil-hydrogen combined station layout model based on the comprehensive optimization target function, the installed capacity constraint and the supply-demand constraint, and solve the oil-hydrogen combined station layout model to obtain the distribution location and the installed capacity of the final oil-hydrogen combined station in the research area.

[0052] According to the specific embodiments of the present application, the following technical effects are achieved: the hydrogen demand distribution of the research area is determined according to the location of each zone and the daily total hydrogen demand of each zone in the research area, the potential oil-hydrogen combined station location distribution is determined by screening the gas stations in the research area, the comprehensive optimization target function is determined based on the hydrogen demand distribution of the research area and the potential oil-hydrogen combined station location distribution, with the minimum total installed capacity of hydrogen of the oil-hydrogen combined station, the minimum total distance required for hydrogenation of each zone and the maximum carbon emission reduction of the oil-hydrogen combined station as the target, the supply-demand constraint is determined according to the daily total hydrogen demand of each zone and the installed capacity of each potential oil-hydrogen combined station, the oil-hydrogen combined station layout model is determined based on the comprehensive optimization target function, the installed capacity constraint and the supply-demand constraint and is solved, and the distribution location of the final oil-hydrogen combined station is obtained, which fully considers the response of hydrogen demand, taps the potential of supply-demand matching, coordinates the demands of multiple subjects, improves the rationality of the location of the oil-hydrogen combined station, reduces the investment of redundant resources and saves the construction cost of the station. BRIEF DESCRIPTION OF DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0054] Figure 1A flow chart of a hydrogen demand response oil-hydrogen co-constructed station layout planning method of the present application;

[0055] Figure 2 A schematic diagram of a hydrogen demand response oil-hydrogen co-constructed station layout planning process of the present application;

[0056] Figure 3 A module schematic diagram of a hydrogen demand response oil-hydrogen co-constructed station layout planning system of the present application.

[0057] Symbol explanation:

[0058] Demand amount acquisition unit-1, demand amount distribution determination unit-2, potential location distribution determination unit-3, objective function determination unit-4, installed capacity constraint determination unit-5, supply and demand constraint determination unit-6, final distribution location determination unit-7. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0060] The purpose of the present application is to provide a hydrogen demand response oil-hydrogen co-constructed station layout planning method and system, which fully considers the response of hydrogen demand, excavates the potential of supply and demand matching, coordinates the demands of multiple subjects, improves the rationality of the location of oil-hydrogen co-constructed stations, reduces the investment of redundant resources, and saves the construction cost.

[0061] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0062] As shown in Figure 1 and Figure 2 , the hydrogen demand response oil-hydrogen co-constructed station layout planning method of the present application comprises:

[0063] S1: Obtain the location of each small area in the study area and the daily total hydrogen demand of each small area.

[0064] S2: Determine the hydrogen demand distribution of the study area according to the location of each small area in the study area and the daily total hydrogen demand of each small area. Specifically, the number of households and household distribution of the study area are excavated by network crawler, and the hydrogen demand distribution of the study area is established by combining the Monte Carlo method.

[0065] S3: Based on the geographical location of each gas station in the study area, screen the gas stations in the study area to determine the location distribution of potential combined oil and hydrogen stations in the study area.

[0066] Specifically, the geographical locations of each gas station and existing hydrogen refueling stations within the study area are obtained. Based on the geographical locations of each gas station and existing hydrogen refueling stations, gas stations located in the urban center of the study area, gas stations located beyond a first predetermined distance from the main roads within the study area, and gas stations located within a second predetermined distance from existing hydrogen refueling stations are eliminated, thus determining the distribution of potential combined oil and hydrogen refueling stations within the study area.

[0067] S4: Based on the hydrogen demand distribution in the study area and the location distribution of potential combined oil-hydrogen stations, a comprehensive optimization objective function is determined with the objectives of minimizing the total installed hydrogen capacity of combined oil-hydrogen stations, minimizing the total distance required for residents to refuel, and maximizing carbon emission reduction of combined oil-hydrogen stations. Specifically, based on the hydrogen demand distribution in the study area and the location distribution of potential combined oil-hydrogen stations, three objectives are constructed: minimum total installed capacity, minimum total distance required for residents to refuel, and maximum carbon emission reduction, to represent the demands of investors, society, and the environment, respectively. Using a standardized processing formula, the three objectives are integrated to form a comprehensive optimization objective oriented towards maximizing social welfare.

[0068] S5: Determine the installed capacity constraints based on the upper and lower limits of the installed capacity of the combined oil and hydrogen power station.

[0069] In this embodiment, the decision variables include the hydrogen demand of each community at each potential combined oil-hydrogen station and the installed capacity of the potential combined oil-hydrogen station. The hydrogen demand of each community at each potential combined oil-hydrogen station is greater than or equal to 0.

[0070] According to the technical specification for hydrogen refueling stations GB50516-2010 (2021 revised edition), the installed capacity b of a potential combined oil and hydrogen refueling station j. j The following constraint must be satisfied: b L ≤b j ≤b U Among them, b L b is the lower limit of the installed capacity of the combined oil and hydrogen power station. U This is the upper limit of the installed capacity of combined oil and hydrogen power stations.

[0071] S6: Determine the supply and demand constraints based on the total daily hydrogen demand of each community and the installed capacity of each potential combined oil and hydrogen station. Specifically, the supply and demand constraints are:

[0072]

[0073] Where n is the total number of potential oil-hydrogen co-location stations, x i,j x represents the hydrogen demand to be consumed by community i at a potential combined oil and hydrogen station j.m+1,j To reserve hydrogen demand for potential combined oil and hydrogen stations, a i Let m be the total daily hydrogen demand of community i, m be the total number of communities in the study area, and b be the total daily hydrogen demand of community i. j The total installed hydrogen capacity of potential combined oil and hydrogen power station j.

[0074] Specifically, the installed capacity of potential combined oil and hydrogen stations and the hydrogen demand from various demand points are used as decision variables, and the hydrogen demand distribution is regarded as a given load to construct installed capacity constraints and supply and demand constraints.

[0075] S7: Based on the comprehensive optimization objective function, the installed capacity constraint, and the supply and demand constraint, a layout model for combined oil and hydrogen power stations is determined, and the layout model is solved to obtain the final distribution locations and installed capacities of combined oil and hydrogen power stations within the study area. In this embodiment, the CPLEX solver is used to solve the layout model for combined oil and hydrogen power stations.

[0076] Further, step S1 includes:

[0077] S11: Obtain the location of each cell within the study area.

[0078] Big data web crawling technology utilizes search engines to send HTTP requests to the World Wide Web and automatically extract information from the webpage's response. This invention employs the `requests` library within the Python language architecture to crawl information on the names and number of households within the study area. The community names and household information are then stored locally in CSV format. Data cleaning is performed on the community names and household information to obtain qualified communities within the study area.

[0079] Specifically, there are two data cleaning methods: one is to perform unified cleaning after all data has been crawled and saved locally; the other is to detect outliers and useless data during the crawling process, and only include qualified data in the saved content. Compared to the second method, the first method wastes some memory and computing power during operation. However, the second method requires a high degree of prior information about the information to be crawled. Since this invention is not a large-scale web crawler, the requirements for memory and computing power are not high, and there is no high degree of prior information about the data to be crawled, so this invention adopts the first data cleaning method. The pandas library in Python is used to clean NA (NotAvailable) data, outlier data, and other information items.

[0080] The system calls the Web-API (Application Program Interface) of the Gaode Open Platform to retrieve the latitude and longitude of each qualified cell based on its name. A total of m cells are obtained, and their corresponding geographical locations are:

[0081]

[0082] in, Let i be the latitude of cell i in the WGS84 coordinate system. Let be the longitude of cell i in the WGS84 coordinate system.

[0083] S12: Obtain the total number of households in each community, the proportion of households with hydrogen fuel cell vehicles in each community, the daily starting state of charge for each fuel cell vehicle in each community, and the capacity of the hydrogen storage tank of the fuel cell vehicle.

[0084] Specifically, the hydrogen demand of each community was sampled using the Monte Carlo simulation method. Currently and for the foreseeable future, residents' hydrogen demand will primarily manifest as fuel demand for hydrogen fuel cell vehicles. The initial state of charge (SOC) for hydrogen refueling of residential fuel cell vehicles is defined as the ratio of the total remaining hydrogen in the vehicle's hydrogen storage tank to the tank's capacity after the resident has met their daily travel needs and begins refueling. The initial SOC α is determined using the following formula:

[0085]

[0086] Among them, H s The remaining amount of hydrogen in the storage tank when residents begin to replenish hydrogen on that day, expressed in kg and C. v This refers to the capacity of the hydrogen storage tank in a hydrogen fuel cell vehicle, expressed in kg.

[0087] The initial state of charge of any residential fuel cell vehicle charging with hydrogen follows a normal distribution as follows:

[0088]

[0089] Where, μ α σ is the expected initial state of charge for hydrogen refueling of residential fuel cell vehicles. α Let x be the standard deviation of the initial state of charge for hydrogen charging of residential fuel cell vehicles, where x represents the initial state of charge for hydrogen charging of any residential fuel cell vehicle.

[0090] Monte Carlo sampling is performed on m communities to calculate the initial state of charge (SOC) of each fuel cell vehicle for daily hydrogen charging in each community.

[0091] S13: For any given community, determine the total daily hydrogen demand of the community based on the total number of households in the community, the proportion of households in the community that own hydrogen fuel cell vehicles, the initial state of charge of each fuel cell vehicle in the community for daily hydrogen charging, and the capacity of the hydrogen storage tank of the fuel cell vehicle.

[0092] Specifically, the total daily hydrogen demand of community i is determined using the following formula:

[0093]

[0094] Among them, a i p represents the total daily hydrogen demand of community i. i Let k1 be the total number of households in community i, k1 be the proportion of households in community i that own hydrogen fuel cell vehicles, and α be the total number of households in community i. i,l For the first fuel cell vehicle in community i, the initial state of charge for daily hydrogen refueling is C. v This refers to the capacity of the hydrogen storage tank in a hydrogen fuel cell vehicle. This invention uses a specific hydrogen fuel cell vehicle as the standard model, assuming that all residents use this type of vehicle; therefore, in this embodiment, C... v It is a fixed value.

[0095] Furthermore, in step S3, ArcGIS software is first used to select objects that meet multi-layer constraints among the gas stations in the study area to obtain the final candidate locations for combined oil and hydrogen stations (potential locations for combined oil and hydrogen stations).

[0096] Based on Article 4.0.2 of the "Technical Specification for Hydrogen Refueling Stations" GB50516-2010 (2021 revised edition): Level 1 hydrogen refueling stations should not be built in urban central areas. Therefore, gas stations located in the urban central areas of the study area are excluded from the scope of this study.

[0097] Based on Article 4.0.3 of the "Technical Specifications for Hydrogen Refueling Stations" GB50516-2010 (2021 revised edition): Hydrogen refueling stations should preferably be located near urban roads. Gas stations located more than 2 kilometers away from the main roads (expressways and first-class highways) within the study area were further excluded.

[0098] Taking into account competition and resource waste, gas stations within 10 kilometers of existing hydrogen refueling stations were eliminated. The remaining locations are the candidate sites for combined oil and hydrogen refueling stations (potential locations for combined oil and hydrogen refueling stations).

[0099] This yields the location distribution of potential oil-hydrogen co-location stations, including n potential oil-hydrogen co-location stations, whose geographical location information is as follows:

[0100]

[0101] in, The latitude of the potential oil-hydrogen co-location station j in the WGS84 coordinate system. The longitude of the potential combined oil and hydrogen station j in the WGS84 coordinate system.

[0102] Further, step S4 includes:

[0103] S41: Determine the first objective function based on the total installed hydrogen capacity of each potential combined oil and hydrogen station.

[0104] Specifically, from an investor's perspective, the unit resource investment for building hydrogen refueling stations in conjunction with gas stations is high, future demand is uncertain, and the risk is significant. Therefore, the multi-objective optimization layout planning for combined oil and hydrogen refueling stations should minimize the total resource investment to avoid redundant installed capacity and ensure that each unit of installed capacity is fully utilized, thereby attracting more social capital to accelerate the development of hydrogen refueling infrastructure. Based on the potential location distribution of combined oil and hydrogen refueling stations, the first objective function is determined as follows:

[0105]

[0106] Where F1 is the value of the first objective function, n is the total number of potential oil-hydrogen co-location stations, and b j The total installed hydrogen capacity of the potential combined oil and hydrogen station j is expressed in kg.

[0107] S42: Determine the distance between each community and each potential oil-hydrogen combined construction station based on the location of each community and the location of each potential oil-hydrogen combined construction station.

[0108] S43: Based on the hydrogen demand distribution in the study area and the location distribution of potential oil-hydrogen combined stations, determine the hydrogen demand of each community at each potential oil-hydrogen combined station.

[0109] S44: Determine the second objective function based on the hydrogen demand of each community at each potential oil-hydrogen co-location station and the distance between each community and each potential oil-hydrogen co-location station.

[0110] Specifically, from a social perspective, with continuously rising oil prices, the primary motivation for residents to adopt hydrogen fuel cell vehicles is to meet their daily travel needs at a lower cost. Residents' daily energy costs depend on the distance they travel to refuel with hydrogen. Therefore, in the multi-objective optimization layout planning of combined oil and hydrogen refueling stations, the total distance required for residents to refuel should be minimized as much as possible to improve energy satisfaction and increase residents' acceptance of hydrogen in daily life. The second objective function is:

[0111]

[0112] Where F2 is the value of the second objective function, m is the total number of communities in the study area, n is the total number of potential oil-hydrogen co-location stations, and x i,j The hydrogen demand of community i at the potential combined oil and hydrogen station j is expressed in kg and D. i,jThe distance between community i and potential combined oil and hydrogen station j is expressed in km.

[0113] In this embodiment, the distance between each cell and each potential oil-hydrogen co-location station is calculated based on the semi-sine formula, according to the location of each cell and the location of each potential oil-hydrogen co-location station. Specifically, the distance D between cell i and potential oil-hydrogen co-location station j is calculated using the following formula. i,j :

[0114]

[0115] Where r is the Earth's radius, taken as 6378.137 km. Let i be the latitude of cell i in the WGS84 coordinate system. Let i be the longitude of the cell in the WGS84 coordinate system. The latitude of the potential oil-hydrogen co-location station j in the WGS84 coordinate system. The longitude of the potential combined oil and hydrogen station j in the WGS84 coordinate system.

[0116] S45: Determine the third objective function based on the total installed hydrogen capacity of each potential oil-hydrogen combined station and the carbon emission reduction coefficient of the oil-hydrogen combined station.

[0117] Specifically, to encourage all sectors to focus on carbon emission reduction, the transportation sector is a key target. Therefore, the multi-objective optimization layout planning of combined oil and hydrogen transportation stations should maximize carbon emission reduction. The third objective function is:

[0118]

[0119] Where F3 is the value of the third objective function, n is the total number of potential oil-hydrogen co-location stations, and b j Let J be the total installed hydrogen capacity of the potential combined oil and hydrogen power station j, and E be the carbon emission reduction coefficient of the combined oil and hydrogen power station, in t / kg.

[0120] In this embodiment, the hydrogen in the combined oil and hydrogen power station is produced by water electrolysis. The carbon emission reduction coefficient E of the combined oil and hydrogen power station is calculated using the following formula:

[0121] E = E1 - E2;

[0122] Where E1 is the carbon emission intensity of coal-to-hydrogen production, in t / kg, and E2 is the carbon emission intensity of hydrogen production by electrolyzing water using electricity from the grid, in t / kg.

[0123] S46: Determine the comprehensive optimization objective function based on the first objective function, the second objective function, and the third objective function.

[0124] Specifically, the comprehensive optimization objective function is:

[0125]

[0126] Where F is the comprehensive optimization objective function value, w1 is the weight of the first objective function, w2 is the weight of the second objective function, w3 is the weight of the third objective function, and w1 + w2 + w3 = 1, F 1,max F is the maximum value of the first objective function. 1,min F is the minimum value of the first objective function. 2,max F is the maximum value of the second objective function. 2,min F is the minimum value of the second objective function. 3,max F is the maximum value of the third objective function. 3,min F1 is the minimum value of the third objective function, F2 is the value of the first objective function, F3 is the value of the second objective function, and F4 is the value of the third objective function.

[0127] F 1,max F 2,max F 3,max The calculation method is to respectively calculate for Perform single-objective optimization solution, F 1,min F 2,min F 3,min The calculation method is to respectively calculate the... The solution is obtained by performing single-objective optimization.

[0128] This invention fully explores the matching potential between the locations of existing gas stations and the distribution of potential hydrogen demand from both the supply and demand sides. Ultimately, the distribution of combined oil and hydrogen refueling stations can coordinate the demands of multiple stakeholders, maximize social welfare, and fully consider the response to hydrogen demand compared with existing technologies. It taps into the potential of supply and demand matching, provides decision-making reference for the layout of hydrogen refueling stations, offers an effective strategy for the optimal layout planning of combined oil and hydrogen refueling stations, helps to achieve efficient utilization of social resources, reduces redundant resource investment, increases social energy satisfaction, and significantly improves carbon emission efficiency.

[0129] like Figure 3 As shown, the oil-hydrogen combined station layout planning system of the present invention, which considers hydrogen demand response, includes: a demand acquisition unit 1, a demand distribution determination unit 2, a potential location distribution determination unit 3, an objective function determination unit 4, an installed capacity constraint determination unit 5, a supply and demand constraint determination unit 6, and a final distribution location determination unit 7.

[0130] The demand acquisition unit 1 is used to acquire the location of each cell in the study area and the total daily hydrogen demand of each cell.

[0131] The demand distribution determination unit 2 is connected to the demand acquisition unit 1. The demand distribution determination unit 2 is used to determine the hydrogen demand distribution of the study area based on the location of the cells in the study area and the total daily hydrogen demand of each cell.

[0132] The potential location distribution determination unit 3 is used to screen the gas stations in the study area based on their geographical locations, and determine the location distribution of potential combined oil and hydrogen stations in the study area.

[0133] The objective function determination unit 4 is connected to the demand distribution determination unit 2 and the potential location distribution determination unit 3. The objective function determination unit 4 is used to determine a comprehensive optimization objective function based on the hydrogen demand distribution in the study area and the location distribution of potential oil-hydrogen combined stations, with the objectives of minimizing the total installed hydrogen capacity of oil-hydrogen combined stations, minimizing the total distance required for hydrogen refueling in each area, and maximizing the carbon emission reduction of oil-hydrogen combined stations.

[0134] The installed capacity constraint determination unit 5 is used to determine the installed capacity constraint based on the upper limit and lower limit of the installed capacity of the oil-hydrogen combined station.

[0135] The supply and demand constraint determination unit 6 is connected to the demand acquisition unit 1. The supply and demand constraint determination unit 6 is used to determine the supply and demand constraints based on the total daily hydrogen demand of each community and the installed capacity of each potential oil-hydrogen combined station.

[0136] The final distribution location determination unit 7 is connected to the objective function determination unit 4, the installed capacity constraint determination unit 5, and the supply and demand constraint determination unit 6. The final distribution location determination unit 7 is used to determine the layout model of the oil-hydrogen combined station based on the comprehensive optimization objective function, the installed capacity constraint, and the supply and demand constraint, and solve the layout model of the oil-hydrogen combined station to obtain the final distribution location and installed capacity of the oil-hydrogen combined station in the study area.

[0137] Furthermore, the demand acquisition unit 1 includes: a first location acquisition module, a fuel vehicle data acquisition module, and a hydrogen demand determination module.

[0138] The first location acquisition module is used to acquire the location of each cell within the study area.

[0139] The fuel cell vehicle data acquisition module is used to obtain the total number of households in each community, the proportion of households with hydrogen fuel cell vehicles in each community, the daily starting state of charge for each fuel cell vehicle in each community, and the capacity of the hydrogen storage tank of the fuel cell vehicle.

[0140] The hydrogen demand determination module is connected to the fuel cell vehicle data acquisition module. The hydrogen demand determination module is used to determine the total daily hydrogen demand of any community based on the total number of households in the community, the proportion of households with hydrogen fuel cell vehicles in the community, the initial state of charge of each fuel cell vehicle for daily hydrogen charging in the community, and the capacity of the hydrogen storage tank of the fuel cell vehicle.

[0141] Furthermore, the potential location distribution determination unit 3 includes a second location acquisition module and a gas station elimination module.

[0142] The second location acquisition module is used to acquire the geographical locations of each gas station and the existing hydrogen refueling station within the study area.

[0143] The gas station elimination module is connected to the second location acquisition module. The gas station elimination module is used to eliminate gas stations located in the urban center of the study area, gas stations located beyond a first set distance from the main road in the study area, and gas stations located within a second set distance from existing hydrogen refueling stations, based on the geographical location of each gas station and the geographical location of existing hydrogen refueling stations, thereby determining the location distribution of potential combined oil and hydrogen refueling stations in the study area.

[0144] Furthermore, the objective function determination unit 4 includes: a first objective determination module, a distance determination module, a demand determination module, a second objective determination module, a third objective determination module, and a comprehensive objective determination module.

[0145] The first objective determination module is used to determine the first objective function based on the total installed hydrogen capacity of each potential combined oil and hydrogen station.

[0146] The distance determination module is connected to the demand distribution determination unit 2 and the potential location distribution determination unit 3. The distance determination module is used to determine the distance between each cell and each potential oil-hydrogen combined station based on the location of each cell and the location of each potential oil-hydrogen combined station.

[0147] The demand determination module is connected to the demand distribution determination unit 2 and the potential location distribution determination unit 3. The demand determination module is used to determine the hydrogen demand of each community at each potential oil-hydrogen combined station based on the hydrogen demand distribution of the study area and the location distribution of the potential oil-hydrogen combined stations.

[0148] The second objective determination module is connected to the distance determination module and the demand determination module. The second objective determination module is used to determine the second objective function based on the hydrogen demand of each community at each potential oil-hydrogen co-location station and the distance between each community and each potential oil-hydrogen co-location station.

[0149] The third objective determination module is used to determine the third objective function based on the total installed hydrogen capacity and carbon emission reduction coefficient of each potential oil-hydrogen combined station.

[0150] The integrated target determination module, together with the first target determination module, the second target determination module, and the third target determination module, is used to determine the integrated optimization target function based on the first target function, the second target function, and the third target function.

[0151] Compared to existing technologies, the oil-hydrogen combined station layout planning system of the present invention, which considers hydrogen demand response, has the same beneficial effects as the above-mentioned oil-hydrogen combined station layout planning method that considers hydrogen demand response, and will not be repeated here.

[0152] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0153] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A layout planning method for combined oil and hydrogen depots considering hydrogen demand response, characterized in that, The proposed layout planning method for combined oil and hydrogen storage stations that takes into account hydrogen demand response includes: Obtain the location of each cell within the study area and the total daily hydrogen demand of each cell; Based on the location of the cells within the study area and the total daily hydrogen demand of each cell, the distribution of hydrogen demand in the study area is determined. Based on the geographical location of each gas station in the study area, the gas stations in the study area are screened to determine the location distribution of potential combined oil and hydrogen stations in the study area. Based on the hydrogen demand distribution in the study area and the location distribution of potential oil-hydrogen combined stations, a comprehensive optimization objective function is determined with the goals of minimizing the total installed hydrogen capacity of oil-hydrogen combined stations, minimizing the total distance required for hydrogen refueling in each area, and maximizing the carbon emission reduction of oil-hydrogen combined stations. The installed capacity constraints are determined based on the upper and lower limits of the installed capacity of the combined oil and hydrogen power station. The supply and demand constraints are determined based on the total daily hydrogen demand of each community and the installed capacity of each potential combined oil and hydrogen station. Based on the comprehensive optimization objective function, the installed capacity constraint, and the supply and demand constraint, a layout model for combined oil and hydrogen power stations is determined, and the layout model is solved to obtain the final distribution location and installed capacity of combined oil and hydrogen power stations in the study area.

2. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 1, characterized in that, The acquisition of the location of each cell within the study area and the total daily hydrogen demand of each cell specifically includes: Obtain the location of each cell within the study area; Obtain the total number of households in each community, the proportion of households with hydrogen fuel cell vehicles in each community, the daily initial charge status of each fuel cell vehicle in each community, and the capacity of the hydrogen storage tank of the fuel cell vehicle. For any given community, the total daily hydrogen demand is determined based on the total number of households in the community, the proportion of households in the community that own hydrogen fuel cell vehicles, the initial state of charge of each fuel cell vehicle in the community for daily hydrogen charging, and the capacity of the hydrogen storage tank of the fuel cell vehicle.

3. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 2, characterized in that, The total daily hydrogen demand of community i is determined using the following formula: Among them, a i Let pi be the total daily hydrogen demand of community i, pi be the total number of households in community i, k1 be the proportion of households in community i that own hydrogen fuel cell vehicles, and α be the total daily hydrogen demand of community i. i,l For the first fuel cell vehicle in community i, the initial state of charge for daily hydrogen refueling is C. v The capacity of the hydrogen storage tank in a hydrogen fuel cell vehicle.

4. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 1, characterized in that, The step of screening gas stations within the study area based on their geographical locations to determine the distribution of potential combined oil and hydrogen stations within the study area specifically includes: Obtain the geographical locations of each gas station and existing hydrogen refueling stations within the study area; Based on the geographical locations of each gas station and existing hydrogen refueling stations, gas stations located in the urban center of the study area, gas stations located beyond a first predetermined distance from the main roads within the study area, and gas stations located within a second predetermined distance from existing hydrogen refueling stations are excluded, thus determining the location distribution of potential combined oil and hydrogen refueling stations within the study area.

5. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 1, characterized in that, Based on the hydrogen demand distribution in the study area and the location distribution of potential combined oil-hydrogen stations, a comprehensive optimization objective function is determined with the objectives of minimizing the total installed hydrogen capacity of combined oil-hydrogen stations, minimizing the total distance required for hydrogen refueling in each area, and maximizing the carbon emission reduction of combined oil-hydrogen stations. This objective function specifically includes: The first objective function is determined based on the total installed hydrogen capacity of each potential combined oil and hydrogen station. Based on the location of each community and the location of each potential oil-hydrogen combined station, determine the distance between each community and each potential oil-hydrogen combined station; Based on the hydrogen demand distribution in the study area and the location distribution of potential oil-hydrogen combined stations, the hydrogen demand of each community at each potential oil-hydrogen combined station is determined. The second objective function is determined based on the hydrogen demand of each community at each potential oil-hydrogen combined station and the distance between each community and each potential oil-hydrogen combined station. The third objective function is determined based on the total installed hydrogen capacity of each potential oil-hydrogen combined station and the carbon emission reduction coefficient of the oil-hydrogen combined station; Based on the first objective function, the second objective function, and the third objective function, a comprehensive optimization objective function is determined.

6. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 5, characterized in that, The second objective function is: Where F2 is the value of the second objective function, m is the total number of communities in the study area, n is the total number of potential oil-hydrogen co-location stations, and x i,j D represents the hydrogen demand to be consumed by community i at a potential combined oil and hydrogen station j. i,j Let be the distance between community i and potential combined oil and hydrogen station j.

7. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 5, characterized in that, The third objective function is: Where F3 is the value of the third objective function, n is the total number of potential oil-hydrogen co-location stations, and b j Let J be the total installed hydrogen capacity of the potential combined oil and hydrogen power station j, and E be the carbon emission reduction coefficient of the combined oil and hydrogen power station.

8. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 5, characterized in that, The comprehensive optimization objective function is: Where F is the comprehensive optimization objective function value, w1 is the weight of the first objective function, w2 is the weight of the second objective function, w3 is the weight of the third objective function, and F 1,max F is the maximum value of the first objective function. 1,min F is the minimum value of the first objective function. 2,max F is the maximum value of the second objective function. 2,min F is the minimum value of the second objective function. 3,max F is the maximum value of the third objective function. 3,min F1 is the minimum value of the third objective function, F2 is the value of the first objective function, F3 is the value of the second objective function, and F4 is the value of the third objective function.

9. The method for planning the layout of combined oil and hydrogen depots considering hydrogen demand response as described in claim 1, characterized in that, The supply and demand constraints are: Where n is the total number of potential oil-hydrogen co-location stations, x i,j x represents the hydrogen demand to be consumed by community i at a potential combined oil and hydrogen station j. m+1,j To reserve hydrogen demand for potential combined oil and hydrogen stations, a i Let m be the total daily hydrogen demand of community i, m be the total number of communities in the study area, and b be the total daily hydrogen demand of community i. j The total installed hydrogen capacity of potential combined oil and hydrogen power station j.

10. A layout planning system for combined oil and hydrogen depots considering hydrogen demand response, characterized in that, The combined oil and hydrogen storage station layout planning system that considers hydrogen demand response includes: The demand acquisition unit is used to acquire the location of each cell in the study area and the total daily hydrogen demand of each cell. The demand distribution determination unit, connected to the demand acquisition unit, is used to determine the hydrogen demand distribution of the study area based on the location of the cells within the study area and the total daily hydrogen demand of each cell. The potential location distribution determination unit is used to screen the gas stations in the study area based on their geographical locations, and determine the location distribution of potential combined oil and hydrogen stations in the study area. The objective function determination unit, connected to the demand distribution determination unit and the potential location distribution determination unit, is used to determine a comprehensive optimization objective function based on the hydrogen demand distribution of the study area and the location distribution of the potential oil-hydrogen combined stations, with the objectives of minimizing the total installed hydrogen capacity of the oil-hydrogen combined stations, minimizing the total distance required for hydrogen refueling in each area, and maximizing the carbon emission reduction of the oil-hydrogen combined stations. The installed capacity constraint determination unit is used to determine the installed capacity constraint based on the upper limit and lower limit of the installed capacity of the oil-hydrogen combined station. The supply and demand constraint determination unit, connected to the demand acquisition unit, is used to determine the supply and demand constraints based on the total daily hydrogen demand of each community and the installed capacity of each potential oil-hydrogen combined station. The final distribution location determination unit is connected to the objective function determination unit, the installed capacity constraint determination unit, and the supply and demand constraint determination unit. It is used to determine the layout model of the oil-hydrogen combined station based on the comprehensive optimization objective function, the installed capacity constraint, and the supply and demand constraint, and to solve the layout model of the oil-hydrogen combined station to obtain the final distribution location and installed capacity of the oil-hydrogen combined station in the study area.

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