Hybrid electrolytic cell off-grid ammonia hydrogen microgrid planning method, system and medium are considered

Abstract

The present application relates to a kind of off-grid ammonia hydrogen microgrid planning method, system and medium considering hybrid electrolytic cell, method is applied to off-grid hydrogen ammonia microgrid, the planning method includes the following steps: the power-hydrogen energy conversion process of a variety of types of electrolytic cell module is modeled;For the process that hydrogen long tube trailer is used to transport hydrogen produced by electrolytic cell module to ammonia production node;Under the premise of considering constraint condition, the planning model of off-grid hydrogen ammonia microgrid is built;Linearization is handled to the constraint condition, and the planning result is obtained by solving the planning model of the off-grid hydrogen ammonia microgrid.Compared with prior art, the present application has the advantages of comprehensive different types of electrolytic cell, reduces total investment cost, improves system flexibility, ensures efficient and stable operation under different conditions and the like.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of microgrid planning, in particular to a method and system for off-grid ammonia-hydrogen microgrid planning considering mixed electrolyzers and a medium. BACKGROUND

[0002] Under the background of increasingly severe energy crisis, the necessity of developing renewable energy is increasingly prominent. In view of the intermittent and uneven distribution characteristics of renewable energy, electrolytic hydrogen production technology solves this problem to some extent. Ammonia-hydrogen-based microgrid usually uses electrolyzers as basic units to produce hydrogen. Under the requirements of reducing greenhouse gas emissions and realizing decarbonization of the energy chemical industry, off-grid ammonia-hydrogen-based microgrid is considered as a promising paradigm for industrial decarbonization.

[0003] Some schemes focus on the coordinated planning of multiple types of energy. For example, Chinese Patent Application Publication No. CN118100241A focuses on the research on hydrogen energy system, which concentrates on electrolyzers, fuel cells and other energy conversion equipment, and ignores the problem of multiple utilization modes of hydrogen energy in actual production. Based on P2X demand response and synthetic ammonia system, combined with the constructed wind-solar output, electrolyzer operation, synthetic ammonia system operation and electric-hydrogen hybrid energy storage system model considering uncertainty, an economic operation model of hydrogen-based energy system is established. The device parameters and operation data of the hydrogen-based energy system are input into the economic operation model of the hydrogen-based energy system, and the optimal operation parameters of the hydrogen-based energy system are obtained, so as to formulate the scheduling plan of the hydrogen-based energy system. The above-mentioned application mainly considers scheduling from the perspective of demand response, but does not consider the characteristics of off-grid ammonia-hydrogen-based microgrid scenarios.

[0004] In addition, some schemes optimize the design of microgrid, propose multiple microgrid design schemes for different application scenarios and demands, aiming to realize efficient and stable operation of microgrid; in addition, some schemes make improvements to the establishment of ammonia-hydrogen-based microgrid planning model and the optimization configuration and operation of microgrid. However, these studies only consider specific types of electrolyzer equipment and fail to reasonably organize the application of different electrolyzer equipment and integrate the advantages of each equipment, which may lead to insufficient utilization of renewable energy and result in greater cost in microgrid investment decision-making.

[0005] In summary, how to fully utilize existing large-scale synthetic ammonia plants and realize the combination of distributed hydrogen production and centralized ammonia production is an important problem to be solved in off-grid ammonia-hydrogen-based microgrid planning. SUMMARY

[0006] The purpose of the present application is to overcome the defects of the prior art and provide a method and system for off-grid ammonia-hydrogen microgrid planning considering mixed electrolyzers and a medium, which fully considers the characteristics of different types of electrolyzers to realize the planning of off-grid ammonia-hydrogen microgrid and ensure efficient and stable operation under different conditions.

[0007] The object of the present application can be achieved by the following technical solutions:

[0008] In one aspect of the present application, a planning method for an off-grid ammonia hydrogen microgrid considering a hybrid electrolyzer is provided, which is applied to an off-grid hydrogen ammonia microgrid, and the planning method comprises the following steps:

[0009] Modeling the electricity-hydrogen energy conversion process of various types of electrolyzer modules;

[0010] Modeling the process of transporting hydrogen produced by electrolyzer modules to ammonia production nodes using hydrogen long tube trailers;

[0011] Under the premise of considering constraints, a planning model of the off-grid hydrogen ammonia microgrid is constructed;

[0012] Linearizing the constraints, and obtaining a planning result by solving the planning model of the off-grid hydrogen ammonia microgrid.

[0013] As a preferred technical solution, the modeling process of the electricity-hydrogen energy conversion process of various types of electrolyzer modules is modeled as:

[0014]

[0015] wherein, represents the hydrogen production of the electrolyzer at node j at time t, represents the operating efficiency of the electrolyzer at node j, represents the electricity-hydrogen conversion coefficient of the electrolyzer at node j, is the input power of the electrolyzer at node j at time t, b j,k is a binary variable used to indicate whether a type k electrolyzer module is installed at node j, represents the operating efficiency of the k-type electrolyzer, represents the electricity-hydrogen conversion coefficient of the k-type electrolyzer

[0016] As a preferred technical solution, the process of transporting hydrogen produced by electrolyzer modules to ammonia production nodes using hydrogen long tube trailers is modeled as:

[0017]

[0018]

[0019] wherein, is a binary variable used to indicate whether the s-th vehicle arrives at node j from node i, n represents the total number of hydrogen transport vehicles, b j,k is a binary variable used to indicate whether a type k electrolyzer module is installed at node j.

[0020] As a preferred technical solution, the constraint conditions include vehicle transportation capacity limit, node hydrogen storage capacity limit, ammonia production node demand limit:

[0021]

[0022] wherein, is a binary variable, used to represent whether the s-th vehicle arrives at node j from node i, represents the hydrogen output of the electrolyzer at node j at time t, Q is the capacity limit of the hydrogen transportation vehicle, H j is the hydrogen storage device capacity of node j, is the demand for ammonia at time t, η Am is the hydrogen-to-ammonia conversion rate.

[0023] As a preferred technical solution, the constraint conditions include power distribution network constraints:

[0024]

[0025] wherein, P i,j,t and Q i,j,t are the active power flow and the reactive power flow of branch (i,j) at time t, p j,t and q j,t are the active power and the reactive power of node j at time t, v j,t is the voltage amplitude of node j at time t, r i,j and x i,j are the resistance and the reactance of branch (i,j), (i,j) represents the branch connecting node i and node j in the tree-shaped distribution network with J nodes, is the set of all child nodes of node j, l i,j,t is the square of the branch current.

[0026] As a preferred technical solution, the constraint conditions include mixed electrolyzer power constraints and binary variable constraints for electrolyzer operating condition switching:

[0027]

[0028]

[0029] wherein, is the input power of the electrolyzer at node j at time t, is the installed capacity of the electrolyzer equipment at node j, b j,k is a binary variable, used to represent whether an electrolyzer module of type k is installed at node j, and respectively represent the upper and lower limits of the installed capacity of the electrolyzer at node j, K is a set of electrolyzer modules, represents the running state of the electrolyzer at node j at time t, represents the running state action of the electrolyzer at node j at time t; represents the running state transition of the electrolyzer at node j from state a to state b at time t.

[0030] As a preferred technical scheme, the planning result comprises electrolyzer selection information, electrolyzer capacity setting information, hydrogen long tube trailer capacity setting information, and electrolyzer site selection information.

[0031] As a preferred technical scheme, in the planning model, the objective function is modeled as:

[0032]

[0033] wherein C TOT is the total cost, represents the electrolyzer investment cost, represents the carrier transportation investment cost; represents the electrolyzer operation cost, represents the carrier transportation operation cost, is a conversion coefficient, is the installed capacity of the electrolyzer equipment at node j, is the annualized cost coefficient of the k-type electrolyzer module, C veh is the annualized cost of each transportation carrier, C hs is the hydrogen storage equipment annualized cost factor, H j represents the hydrogen storage equipment capacity of node j, ω j represents the equipment maintenance cost of node j, represents the cost coefficient from state a to state b, S is a set of electrolyzer states, c i,j represents the transportation cost from node i to node j, represents the running state of the electrolyzer at node j at time t, b j,k is a binary variable used to indicate whether a type k electrolyzer module is installed at node j, n represents the total number of hydrogen transportation carriers, is the input power of the electrolyzer at node j at time t, is a binary variable used to indicate whether the s-th carrier arrives at node j from node i.

[0034] Another aspect of the present application provides an off-grid ammonia hydrogen microgrid planning system considering hybrid electrolyzers, comprising:

[0035] An electrical energy-hydrogen energy conversion process modeling module is used to model the electrical energy-hydrogen energy conversion process of multiple types of electrolyzer modules.

[0036] a hydrogen transportation process modeling module configured to model a process of transporting hydrogen produced by the electrolyzer modules to an ammonia production node using a hydrogen long tube trailer;

[0037] a planning modeling module configured to construct a planning model of the off-grid hydrogen-ammonia-based microgrid under consideration of constraints;

[0038] a calculation module configured to linearize the constraints and obtain a planning result by solving the planning model of the off-grid hydrogen-ammonia-based microgrid.

[0039] In another aspect of the present application, a computer-readable storage medium is provided, comprising one or more programs for execution by one or more processors of an electronic device, the one or more programs comprising instructions for performing the aforementioned off-grid ammonia-hydrogen microgrid planning method considering mixed electrolyzers.

[0040] Compared with the prior art, the present application has at least one of the following beneficial effects:

[0041] (1) Fully considering the characteristics of different types of electrolyzers: the present application considers the different working states of electrolyzers and their conversion, and considers the characteristics and advantages of different types of electrolyzers, thereby establishing an off-grid ammonia-hydrogen-based microgrid planning model, and optimizing the utilization efficiency of renewable energy.

[0042] (2) Ensuring efficient and stable operation under different conditions: the vehicle routing problem is used to realize effective connection between distributed hydrogen production and centralized ammonia production, and by constructing operation constraints of power distribution networks and related equipment, efficient and stable operation of the system under different conditions is ensured, realizing green hydrogen and ammonia production. BRIEF DESCRIPTION OF DRAWINGS

[0043] Figure 1 a flowchart of the off-grid ammonia-hydrogen microgrid planning method considering mixed electrolyzers in the embodiment;

[0044] Figure 2 a schematic diagram of the planning result of the off-grid ammonia-hydrogen-based microgrid in the embodiment;

[0045] Figure 3 a schematic diagram of the operation path of the hydrogen transportation vehicle of the off-grid ammonia-hydrogen-based microgrid in the embodiment;

[0046] Figure 4 a schematic diagram of the planning result of the off-grid ammonia-hydrogen-based microgrid considering only ALK;

[0047] Figure 5 a schematic diagram of the planning result of the off-grid ammonia-hydrogen-based microgrid considering only PEM;

[0048] Figure 6A schematic diagram of the planning result of the off-grid ammonia-hydrogen microgrid considering only SOEC. DETAILED DESCRIPTION

[0049] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work should fall within the protection scope of the present application.

[0050] Embodiment 1

[0051] In view of the problems in the prior art, see Figure 1 The embodiment provides a planning method for an off-grid ammonia-hydrogen microgrid considering a mixed electrolyzer, which comprises the following steps:

[0052] Step S1, under the condition of fully considering the characteristics of different electrolyzers, modeling the electric energy-hydrogen energy conversion process of various types of electrolyzer modules.

[0053] The electrolyzer model in the off-grid ammonia-hydrogen microgrid system mainly considers the hydrogen production process by electrolysis, and different working states of the electrolyzer and conversion thereof. The electrolyzer model establishment process is specifically as follows:

[0054] Step S101, using subscript j to indicate a node sequence, using subscript k to indicate an electrolyzer type, and using a binary variable b j,k to represent whether a type k electrolyzer device is installed at the node j, if b j,k = 1, then "yes", and if b j,k = 0, then "no".

[0055] Step S102, the electrolyzer realizes the conversion of electric energy to hydrogen energy, and this process can be represented as a steady-state linear function of the input power:

[0056]

[0057] In the formula, represents the hydrogen production amount of the electrolyzer at the node j at time t; represents the operating efficiency of the electrolyzer at the node j; represents the electric-hydrogen conversion coefficient of the electrolyzer at the node j; is the input power of the electrolyzer at the node j at time t.

[0058] Step S103, the operating efficiency and conversion coefficient parameters of each node are related to the type of electrolyzer installed at the node, and the connection is established by means of the binary variable in step S101:

[0059]

[0060] wherein: represents the operation efficiency of the kth electrolyzer; represents the electric-hydrogen conversion coefficient of the kth electrolyzer;

[0061] Step S104, a set of working condition set S={ON, OFF, STB} is established to represent the running state of the electrolyzer: start, stop and standby respectively. Three sets of binary variables are defined to represent various states and their transitions, and the binary variables have the following relationship:

[0062]

[0063] wherein: represents the running state of the electrolyzer at node j at time t; represents the running state action of the electrolyzer at node j at time t; represents the running state transition of the electrolyzer at node j at time t from state α to state β; τ is a quantity related to the initial state α and the final state β, representing the number of waiting periods required for the transition from state α to state β, wherein ∧ and ∨ represent and and or respectively, represents no.

[0064] Step S105, there is a certain relationship between the power and the working state in step S102, and the electrolyzer runs at different power levels in different working conditions (i.e. working state):

[0065]

[0066] wherein: P M and P m are the upper and lower bounds of the power in state ON respectively; P stb represents the running power in state STB.

[0067] Step S2, the process of transporting hydrogen produced by the electrolyzer module using a hydrogen long tube trailer to the ammonia production node is modeled, and in this embodiment, a hydrogen pipeline trailer is taken as an example to illustrate the hydrogen long tube trailer.

[0068] The hydrogen pipeline trailer transportation model in the off-grid ammonia hydrogen-based microgrid system can be solved by means of the vehicle routing problem with capacity constraints, thereby realizing the connection between distributed hydrogen production and centralized ammonia production. The process of model establishment is as follows:

[0069] Step S201, use subscript i, j, k to indicate node sequence, and mark node 0 as the node where the ammonia production plant is located, use superscript s to indicate vehicle sequence, and use binary variable to represent whether the s th vehicle arrives from node i to node j, if then "yes", if then "no".

[0070] Step S202, in order to ensure that each vehicle must start from the ammonia station and eventually return to the ammonia station, and the transport vehicle must reach the node installed with electrolytic cell once a day, and the vehicle transport trajectory is a continuous trajectory, the following equation is established for the binary variable in step S201:

[0071]

[0072] In the formula: is a binary variable, indicating whether the s-th vehicle arrives from node i to node j; n represents the total number of hydrogen transport vehicles.

[0073] Step S203, in step S202, the vehicle transportation is limited by capacity, at the same time, the node hydrogen storage is also limited by capacity, and the amount of hydrogen transported in a transport cycle should meet the demand of ammonia plant, the following inequality is established:

[0074]

[0075] In the formula: Q is the capacity limit of hydrogen transport vehicle; H j is the capacity of hydrogen storage device of node j, is the demand for ammonia at time t; η Am is the conversion rate of hydrogen to ammonia.

[0076] Step S3, under the premise of considering the constraint conditions, a planning model of off-grid hydrogen-ammonia-based microgrid is constructed.

[0077] The off-grid ammonia-hydrogen-based microgrid model considering the hybrid electrolytic cell module is composed of an objective function and constraint conditions, wherein the objective function is:

[0078]

[0079] In the formula: C TOT represents the total cost of the system; represents the investment cost of electrolytic cell; represents the vehicle transportation investment cost; represents the operation cost of electrolytic cell; represents the operation cost of vehicle transportation; is a conversion factor to make the investment cost and operation cost comparable; represents the installed capacity of electrolytic cell equipment at node j; is the annualized cost coefficient of k-type electrolytic cell module; C veh is the annualized cost of each transport vehicle; C hs is the annualized cost factor of hydrogen storage equipment; H jωj represents the capacity of the hydrogen storage device of node j; ω j ωj represents the maintenance cost of the device of node j; ωαβ represents the cost coefficient from state α to state β; S is the set of electrolyzer states; c i,j ωij represents the transportation cost from node i to node j.

[0080] Under the premise of the constraints in step S1, the constraint conditions further include power grid constraints, power constraints, binary variable constraints and other constraints, specifically including the following contents:

[0081] Power grid constraints: consider a tree distribution network with J nodes, where (i,j) represents the branch connecting node i and j, and the total number of branches is (J+1)-1=J. Define as the set of all child nodes of node j. The power grid constraints establish the power voltage relationship between nodes:

[0082]

[0083]

[0084] In the formula: P i,j,t and Q i,j,t are the active power flow and reactive power flow of branch (i,j) at time t; p j,t and q j,t are the active power and reactive power of node j at time t; v j,t is the voltage amplitude of node j at time t; r i,j and x i,j are the resistance and reactance of branch (i,j), respectively; l i,j,t represents the square of the branch current.

[0085] Power constraints: the input power of the electrolyzer device in step S102 is limited by the installed capacity, and at the same time, the installed capacity of each node is also limited by the upper and lower limits:

[0086]

[0087] In the formula: is the installed capacity of the electrolyzer at node j; and respectively represent the upper and lower limits of the installed capacity of the electrolyzer at node j.

[0088] Binary variable constraints: the binary variables used in steps S101 and S104 are subject to relevant restrictions:

[0089]

[0090] Other constraints: including step S1 and the step S2, the electrolytic cell model and hydrogen pipeline trailer transport model in the constraints and related constraints.

[0091] Step S4, linearization for complex constraints in the modeling process, by solving the planning model of off-grid hydrogen ammonia micro-grid to get the planning results.

[0092] The complex constraints in the off-grid ammonia hydrogen micro-grid considering the mixed electrolytic cell module are linearized and processed, which specifically includes:

[0093] Step S401, step S104, the first constraint contains logical and, or operation, which can be linearized as follows:

[0094]

[0095] In the formula: l is used to indicate the subscript of inequality constraint;

[0096] Step S402, step S104, the second constraint contains logical and or not operation, because the variable connected by logical or operation limits only one to be 1, so the logical or operation can be replaced by addition operation directly, and the logical not operation can be replaced by subtraction operation, which is equivalent to the following formula:

[0097]

[0098] Step S403, as shown in step S402, there is still logical and operation, define a new binary variable Z to replace the left item of plus sign, then the formula can be equivalent linearization as follows:

[0099]

[0100] Step S404, as shown in step S105, there are three groups of equivalent constraints, in order to linearize it is necessary to define two new binary variables to describe the expression on the left side of the equivalent symbol:

[0101]

[0102] In the formula: ξ m From the set {0, P stb , P m} traversal value, ξ M From the set {0, P stb , P M} traversal value;

[0103] Step S405, the conditional constraints in step S404 can be equivalent to a group of linear inequalities:

[0104]

[0105] where ε represents an infinitesimal;

[0106] Step S406, with the help of the two sets of binary variables defined in step S404, the equivalent constraints in step S105 can be linearly transformed into:

[0107]

[0108] From this, the proposed model is reformulated as a mixed-integer linear programming problem, which can be effectively solved by off-the-shelf optimization solvers.

[0109] To demonstrate the effectiveness of the proposed method, the IEEE-33 bus system is taken as a simulation example, the planning horizon is set to be one year, one day (24 hours) is taken as the simulation period, and one hour is taken as the scheduling unit. The candidate locations for installing electrolyzers (ELC) include nodes 2 to 33. The candidate types of electrolyzers include alkaline electrolyzers (ALK), proton exchange membrane electrolyzers (PEM), and solid oxide electrolyzers (SOEC). The electricity-to-hydrogen conversion factors of the three types of electrolyzers are 0.20 kg / kWh, 0.25 kg / kWh, and 0.43 kg / kWh, respectively. The operation efficiencies of the three types of electrolyzers are 60%, 79%, and 90%, respectively. The unit investment costs of the three types of electrolyzers are $200 / kW, $350 / kW, and $500 / kW, respectively. The waiting periods from state OFF to state STB of the three types of electrolyzers are set to be 0, 1, and 2, respectively. The waiting periods between other state transitions of the three types of electrolyzers can be ignored. The power upper and lower limits of electrolyzers in state ON are set to be 8 MW and 0, respectively. The operation powers of the three types of electrolyzers in state STB are 0.03 MW, 0.1 MW, and 0.06 MW, respectively. The capacity of a hydrogen pipeline trailer vehicle is 600 kg, the vehicle investment cost is $20,000 per vehicle, the vehicle transportation cost is $0.015 per (kg·km), and the hydrogen storage tank (HS) cost is $170 per kg. The conversion rate of synthetic ammonia is set to be 0.65. The upper and lower limits of the installed capacity of electrolyzers are set to be 6 MW and 0, respectively.

[0110] The investment planning results and operation planning results obtained according to the proposed method are shown in Figure 2 and Figure 3 . Figure 2 The investment planning decisions in the proposed method are mainly reflected in the selection of the type, location, and capacity of electrolyzers. Distributed hydrogen production is configured at four different nodes of the IEEE-33 bus system. Node 2 is located on the branch of the network and can be regarded as a hub bus. Therefore, in order to better utilize renewable energy generation, a larger-capacity electrolyzer and hydrogen storage facility are installed at this node. Figure 3The typical daily hydrogen pipeline trailer operation route is shown. Due to the capacity limit, hydrogen transportation uses two vehicles, and node 2 is installed with a larger hydrogen storage facility, so vehicle 1 only transports hydrogen between the ammonia plant and node 2, and vehicle 2 transports hydrogen between nodes 19, 22, 26 and the ammonia plant.

[0111] After obtaining the investment decision and operation decision of the off-grid ammonia hydrogen microgrid considering the hybrid electrolyzer module established by the method, in order to verify the effectiveness and economy of the model, a simplified case considering only a single electrolyzer is used for comparative analysis, and the investment planning results of the simplified case are as shown in Figures 4 to 6 , Figures 4 to 6 respectively, considering only ALK, PEM and SOEC.

[0112] According to Figures 4 to 6 , considering that the closer the node is to the power generation node, the more significant the impact of renewable energy fluctuation, PEM electrolyzers have better adaptability to fluctuations, and have obvious advantages in adapting to power fluctuations. However, the cases considering only ALK and SOEC are not selected, resulting in unsatisfactory overall planning effect. Secondly, the investment cost of the off-grid ammonia hydrogen microgrid of the method is about $2.62x10 6 , the operation cost is about $2.68x10 6 , and the total cost is about $5.30x10 6 ; the investment cost of the off-grid ammonia hydrogen microgrid considering only ALK is about $3.15x10 6 , the operation cost is about $1.86x10 6 , and the total cost is about $6.01x10 6 ; the investment cost of the off-grid ammonia hydrogen microgrid considering only PEM is about $4.38x10 6 , the operation cost is about $2.35x10 6 , and the total cost is about $6.73x10 6 ; the investment cost of the off-grid ammonia hydrogen microgrid considering only SOEC is about $5.21x10 6 , the operation cost is about $2.56x10 6 , and the total cost is about $7.77x10 6 . It can be seen that the total cost of the off-grid ammonia hydrogen microgrid system established by the method is reduced by 11.8% compared with the simplified scene using only a single type of electrolyzer, mainly reflected in the reduction of investment planning cost.

[0113] In summary, the off-grid ammonia hydrogen microgrid planning method and system considering the hybrid electrolyzer module established by the method have certain practical significance and application prospect.

[0114] The method considers different working states of the electrolytic cell and its conversion, the advantages of different electrolytic cells in economy and fluctuation adaptability, and the characteristics and advantages of different types of electrolytic cells. Based on this, a planning model of an off-grid ammonia-hydrogen microgrid system is established. On the other hand, the vehicle routing problem is used to effectively connect the distributed hydrogen production and centralized ammonia production. Through systematic analysis of the operation constraints of the power distribution network and related equipment, the efficient and stable operation of the system under different conditions is ensured, and green hydrogen and ammonia production is realized.

[0115] Embodiment 2

[0116] Based on embodiment 1, the embodiment provides an off-grid ammonia-hydrogen microgrid planning system considering mixed electrolytic cells, including:

[0117] An electrical energy-hydrogen energy conversion process modeling module is configured to model the electrical energy-hydrogen energy conversion process of multiple types of electrolytic cell modules.

[0118] A hydrogen transportation process modeling module is configured to model the process of transporting hydrogen produced by the electrolytic cell module to the ammonia production node using a hydrogen long tube trailer.

[0119] A planning modeling module is configured to construct a planning model of an off-grid hydrogen-ammonia microgrid under the premise of considering constraints.

[0120] A calculation module is configured to linearize the constraints and obtain a planning result by solving the planning model of the off-grid hydrogen-ammonia microgrid.

[0121] Embodiment 3

[0122] The embodiment provides a computer-readable storage medium including one or more programs for execution by one or more processors of an electronic device, the one or more programs including instructions for performing the off-grid ammonia-hydrogen microgrid planning method considering mixed electrolytic cells as described in embodiment 1.

[0123] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present application, and these modifications or replacements should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for planning an off-grid ammonia-hydrogen microgrid considering a hybrid electrolyzer, characterized in that: Applied to an off-grid hydrogen amino microgrid, the planning method includes the following steps: Modeling the power-to-hydrogen conversion process for various types of electrolyzer modules; Modeling the transport of hydrogen produced in electrolyzer modules to ammonia production nodes using hydrogen tube trailers; Under the premise of considering the constraints, a planning model for off-grid hydrogen-amino microgrid is constructed; The constraints are linearized and the planning results are obtained by solving the planning model of the off-grid hydrogen-amino microgrid. The modeling process of the electricity-hydrogen energy conversion process of the various types of electrolyzer modules is modeled as follows: in, Representation node j The electrolytic cell at time t The hydrogen output in Representation node j The operating efficiency of the electrolyzer at Representative Node j The electricity-to-hydrogen conversion coefficient of the electrolyzer at is a node j The electrolytic cell at time t The input power within It is a binary variable used to represent the j Is the type installed? k electrolyzer module, express k The operating efficiency of the electrolyzer, express k The electricity-to-hydrogen conversion coefficient of the electrolyzer, The process of transporting hydrogen produced by the electrolyzer module to the ammonia production node using a hydrogen tube trailer is modeled as follows: in, is a binary variable used to represent the s Is the vehicle from the node i Arrival Node j , n represents the total number of hydrogen transport vehicles, It is a binary variable used to represent the j Is the type installed? k electrolyzer module, In the planning model, the objective function is modeled as: in, is the total cost, Represents the investment cost of the electrolyzer, Represents the cost of vehicle transportation investment; Represents the electrolyzer operating cost, Represents the cost of vehicle transportation operation, is the conversion factor, For nodes j The installed capacity of electrolyzer equipment, for k The annual cost coefficient of the electrolyzer module is is the annual cost of each transport vehicle, is the annual cost factor of hydrogen storage equipment, Representation node j The capacity of hydrogen storage equipment, Representation node j Equipment maintenance cost, represents the cost coefficient from state α to state β, S is the electrolytic cell state set, Representation node i To Node j The transportation cost, express t Time Node j The operating state of the electrolytic cell, It is a binary variable used to represent the j Is the type installed? k electrolyzer module, n represents the total number of hydrogen transport vehicles, is a node j The electrolytic cell at time t The input power within is a binary variable used to represent the s Is the vehicle from the node i Arrival Node j .

2. The off-grid ammonia-hydrogen microgrid planning method considering hybrid electrolyzers according to claim 1, characterized in that: The constraints include vehicle transport capacity limitations, node hydrogen storage capacity limitations, and ammonia production node demand limitations: in, is a binary variable used to represent the s Is the vehicle from the node i Arrival Node j , Representation node j The electrolytic cell at time t The hydrogen output in Q The capacity limit of hydrogen transport vehicles is H j For nodes j The capacity of hydrogen storage equipment, for t The demand for ammonia at any given time, is the conversion rate of hydrogen to ammonia.

3. The off-grid ammonia-hydrogen microgrid planning method considering hybrid electrolyzers according to claim 1, characterized in that: The constraints mentioned include distribution network constraints: in, and They are t Time branch ( i,j ) of the active and reactive currents, and Node j exist t Active power and reactive power at the moment, For nodes j exist t The voltage amplitude at the moment, and They are branches ( i , j ) on the resistance and reactance, ( i , j ) means shared J Connecting nodes in a tree-like distribution network i and j branches, For nodes j The set of all child nodes of is the square of the branch current.

4. The off-grid ammonia-hydrogen microgrid planning method considering hybrid electrolyzers according to claim 1, characterized in that: The constraints include the hybrid electrolyzer power constraint and the binary variable constraint for switching the electrolyzer operating conditions: in, is a node j The electrolytic cell at time t The input power within For nodes j The installed capacity of electrolyzer equipment, It is a binary variable used to represent the j Is the type installed? k electrolyzer module, and Represents nodes respectively j The upper and lower limits of the installed capacity of the electrolyzer, For electrolyzer module assembly, express t Time Node j The operating state of the electrolytic cell, express t Time Node j The electrolytic cell operates in a certain state; express t Time Node j The electrolytic cell is in state To status Operation status change.

5. The off-grid ammonia-hydrogen microgrid planning method considering hybrid electrolyzers according to claim 1, characterized in that: The planning results include electrolyzer selection information, electrolyzer capacity information, hydrogen tube trailer capacity information and electrolyzer site selection information.

6. An off-grid ammonia-hydrogen microgrid planning system considering hybrid electrolyzers, characterized in that: A system for implementing the off-grid ammonia-hydrogen microgrid planning method considering a hybrid electrolyzer as described in any one of claims 1 to 5 includes: The power-to-hydrogen conversion process modeling module is used to model the power-to-hydrogen conversion process for various types of electrolyzer modules; A hydrogen transportation process modeling module is used to model the process of transporting hydrogen produced by the electrolyzer module to the ammonia production node using hydrogen tube trailers; The planning modeling module is used to build a planning model for the off-grid hydrogen-amino microgrid while taking into account the constraints; The calculation module is used to perform linear processing on the constraint conditions and obtain a planning result by solving the planning model of the off-grid hydrogen-amino microgrid.

7. A computer-readable storage medium, characterized in that The method comprises one or more programs for execution by one or more processors of an electronic device, wherein the one or more programs include instructions for executing the off-grid ammonia-hydrogen microgrid planning method considering a hybrid electrolyzer as described in any one of claims 1 to 5.

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