Emergency scheduling method for mobile hydrogen energy power supply system

Abstract

The application provides an emergency scheduling method for a movable hydrogen energy power supply system. The method comprises the following steps: after a power failure node appears in a power distribution network, according to the position and power shortage of each power failure node, and the position and initial capacity of each movable hydrogen energy power supply system, based on a movable path model, energy consumption characteristics and an output model considering renewable energy output deviation of the movable hydrogen energy power supply system, a multi-objective optimization is performed with the minimum full life cycle economic cost of the movable hydrogen energy power supply system and the minimum number of isolated nodes after island division of the power distribution network as the target, and a target scheduling scheme of the movable hydrogen energy power supply system corresponding to the power failure node in the power distribution network is obtained. The target scheduling scheme obtained by the application is more suitable for a power distribution network environment with high renewable energy penetration, and can ensure power supply for important loads as soon as possible.

Description

Technical Field

[0001] This invention relates to the field of renewable energy and emergency power supply technology for power distribution networks, and in particular to an emergency dispatch method for a mobile hydrogen energy power supply system. Background Technology

[0002] With the rapid development of global society and economy, extreme weather events are becoming more frequent, leading to natural disasters that threaten the safety of power systems and increasing the risk of sudden power outages. Therefore, distribution networks not only need to meet regional power supply demands under normal circumstances, but also need to initiate power emergency response measures and develop power grid recovery plans in the event of power shortages to maintain power supply to critical loads at key nodes and restore power supply capacity as quickly as possible.

[0003] Power emergency resources are the foundation for carrying out power emergency work. Emergency power supply vehicles, electric vehicles, and other flexible and convenient mobile power sources offer excellent mobility and are characterized by stable and reliable overall performance and low noise. They are widely applicable to emergency power supply in scenarios such as power, communications, conferences, and engineering disaster relief, and can promptly respond to distribution network load losses, facilitating rapid and convenient power supply to critical loads. Hydrogen energy, on the other hand, is an abundant, green, low-carbon, and widely used secondary energy source. It is an important vehicle for achieving carbon peaking and carbon neutrality, and for building a clean, low-carbon, safe, and efficient energy system. The importance of hydrogen power generation technology in reducing pollution and climate change has gained global recognition. With accelerated research and development in hydrogen energy technology, continuous optimization of hydrogen production structures, and gradual improvement of infrastructure, the cost of hydrogen use will decrease significantly. Introducing mobile hydrogen power generation systems into the emergency power supply field will contribute to the realization of low-carbon development.

[0004] To facilitate decarbonization, the proportion of renewable energy in the power distribution network is gradually increasing. However, renewable energy power generation is uncertain and random. Therefore, in power distribution networks with a high proportion of renewable energy, it is crucial to flexibly dispatch mobile hydrogen power supply systems to better adapt to the high penetration of renewable energy in the distribution network environment and to ensure the power supply of important loads as quickly as possible after a power outage or predicted power shortage occurs. Summary of the Invention

[0005] This invention provides an emergency dispatch method for a mobile hydrogen power supply system to address the problem of how to flexibly dispatch the mobile hydrogen power supply system to better adapt to the distribution network environment with high penetration of renewable energy and to ensure the power supply of important loads as quickly as possible.

[0006] In a first aspect, embodiments of the present invention provide an emergency dispatch method for a mobile hydrogen energy power supply system, comprising:

[0007] After a power outage occurs in the distribution network and / or a power shortage is predicted at a node, the location and power shortage of each node, as well as the location and initial capacity of each portable hydrogen power supply system, are obtained.

[0008] Based on the location and power loss of each power outage node, as well as the location and initial capacity of each mobile hydrogen power supply system, multi-objective optimization is performed with the objectives of minimizing the full life-cycle economic cost of the mobile hydrogen power supply system and minimizing the number of isolated nodes after the distribution network is divided into islands, based on the mobile path model, energy consumption characteristics, and output model considering the output deviation of renewable energy. This yields the target scheduling scheme for the mobile hydrogen power supply system after a power outage node occurs in the distribution network.

[0009] In one possible implementation, the first objective function, which aims to minimize the total lifecycle economic cost of the portable hydrogen power supply system, is:

[0010] minC=C disp +C loss +∑MH m ;

[0011] Where C represents the total lifecycle economic cost of the portable hydrogen energy power supply system, C disp For the minimum dispatch cost of a mobile hydrogen power supply system, C l o ss The power loss is the loss at all power outage nodes in the distribution network related to the scheduling time, M is the weighting coefficient determined based on the Big M method, and H is the power loss loss at all power outage nodes in the distribution network related to the scheduling time. m The degree of load recovery balance for all power-loss nodes of level m.

[0012] In one possible implementation, the power loss loss of all power outage nodes in the distribution network related to the scheduling time is calculated as follows:

[0013] according to Calculate the power loss at all power outage nodes in the distribution network as a function of the scheduling time;

[0014] Among them, C l o ss For all power outages in the distribution network, the loss is related to the dispatch time. ij Let w be the shortest distance from the i-th node to the j-th node in the distribution network, and N be the set of all nodes in the distribution network. ij Characterizes whether a portable hydrogen power supply system can be moved from the i-th node to the j-th node of the distribution network, w ij =1 indicates that a portable hydrogen power supply system has moved from the i-th node to the j-th node in the distribution network, w ij=0 indicates that no portable hydrogen power supply system moves from the i-th node to the j-th node in the distribution network, v is the moving speed of the portable hydrogen power supply system, and t is the moving speed of the portable hydrogen power supply system. in For a mobile hydrogen power supply system, the operation time from arriving at a node in the distribution network to being connected is given by a. j b j c j These represent the social loss, property loss, and production capacity loss per unit time and unit capacity load when the j-th node in the distribution network is a power outage node, respectively. j Let P be the power shortage when the j-th node in the distribution network is a power outage node. VH Let V be the power supply of the Vth portable hydrogen power supply system, where V∈VH, and VH is the set of portable hydrogen power supply systems.

[0015] In one possible implementation, the minimum scheduling cost of the portable hydrogen power supply system is calculated as follows:

[0016] according to Calculate the minimum dispatch cost of a portable hydrogen power supply system;

[0017] Among them, C disp For the minimum dispatch cost of a mobile hydrogen power supply system, C inv For the daily investment cost of a portable hydrogen power supply system, Co per C is the operating cost determined based on the operating status of each portable hydrogen power supply system. H The unit cost of each portable hydrogen-powered system, V H Y represents the total number of portable hydrogen power supply systems included in the collection of portable hydrogen power supply systems. H For the service life of portable hydrogen power supply systems, C unit-dis For the unit distance delivery cost of mobile hydrogen-powered power systems, l ij Let w be the shortest distance from the i-th node to the j-th node in the distribution network, and N be the set of all nodes in the distribution network. ij Characterizes whether a portable hydrogen power supply system can be moved from the i-th node to the j-th node of the distribution network, w ij =1 indicates that a portable hydrogen power supply system has moved from the i-th node to the j-th node in the distribution network, w ij =0 indicates that no portable hydrogen power supply system has moved from the i-th node to the j-th node of the distribution network, C annual The annualized maintenance cost of a single portable hydrogen-powered system, Ω H The number of portable hydrogen power systems that provide emergency support for all portable hydrogen power systems.

[0018] In one possible implementation, the load recovery balancing degree of all power-loss nodes in level m is calculated as follows:

[0019] according to Calculate the load recovery balance of all power-loss nodes at level m;

[0020] Among them, H m The degree of load recovery balance for all power-loss nodes at level m. J Let q be the number of all power-out nodes of level m. j P represents the load capacity of the j-th power failure node of level m. jr Let P be the current actual power of the j-th power-loss node of level m. j,min P represents the power loss at the j-th power loss node of level m. i,max Let P(P) be the power of the j-th power failure node of level m during normal operation. j,k ) is to [P j,min ,P i,max The arithmetic progression is divided into [D0, D1, ... D]. K After that, the current actual power P of the j-th power-loss node of level m. jr In [D] k D k+1 The probability within ] .

[0021] In one possible implementation, the energy consumption characteristics of the portable hydrogen power supply system include the charging and discharging constraints, capacity constraints, and grid connection constraints of the portable hydrogen power supply system.

[0022] The charging and discharging constraint conditions are as follows:

[0023]

[0024] The capacity constraint is as follows:

[0025]

[0026] The constraints for accessing the distribution network are as follows:

[0027]

[0028] in, Let V be the charging power of the Vth portable hydrogen power supply system at time t. This represents the minimum charging power of the Vth portable hydrogen power supply system. This represents the maximum charging power of the Vth portable hydrogen power supply system. Let V be the discharge power of the Vth portable hydrogen power supply system at time t. Let V be the minimum discharge power of the Vth portable hydrogen power supply system. This represents the maximum discharge power of the Vth portable hydrogen power supply system. Let V be the minimum capacity of the Vth portable hydrogen power supply system. Let i be the initial capacity of the Vth portable hydrogen power supply system. b ∈N, i b Let N be the node where the Vth mobile hydrogen power supply system is connected to the distribution network, N be the set of all nodes in the distribution network, and T be the total scheduling time of the Vth mobile hydrogen power supply system. The charging efficiency of the Vth portable hydrogen power supply system. Let be the discharge efficiency of the Vth portable hydrogen power supply system, and τ be the minimum time period. V represents the maximum capacity of the Vth portable hydrogen power supply system. H Let NZ be the total number of portable hydrogen power supply systems included in the set of portable hydrogen power supply systems, and let NZ() be a function to determine whether the value is 0 or 1, where NZ(0) = 0 and NZ(≠0) = 1. Let i be the number of mobile hydrogen power supply systems at time t in the distribution network. b The charging power of the node, Let i be the number of mobile hydrogen power supply systems at time t in the distribution network. b The discharge power of the node.

[0029] In one possible implementation, the output model that considers the output deviation of renewable energy is:

[0030]

[0031] Among them, P re,d Let d be the actual output power of the d-th renewable energy unit. Let d be the predicted output power of the d-th renewable energy unit. Let be the marginal variable of the over-output power deviation of the d-th renewable energy unit. Let d be the over-generation power deviation of the d-th renewable energy unit that exceeds the predicted output power. Let be the marginal variable of the reduced power generation deviation of the d-th renewable energy unit. N represents the power deviation of the d-th renewable energy unit from its predicted output. d Ψ represents the total number of renewable energy units, and Ψ represents the deviation of the overall output prediction of renewable energy units.

[0032] Secondly, embodiments of the present invention provide a mobile hydrogen energy power supply system emergency dispatch device, comprising:

[0033] The acquisition module is used to acquire the location and power loss of each power failure node, as well as the location and initial capacity of each portable hydrogen power supply system, after a power failure and / or a predicted power shortage node occurs in the distribution network.

[0034] The scheduling module is used to perform multi-objective optimization based on the location and power loss of each power failure node, as well as the location and initial capacity of each mobile hydrogen power supply system. It is based on the mobile path model, energy consumption characteristics, and output model that considers the output deviation of renewable energy, and aims to minimize the economic cost of the entire life cycle of the mobile hydrogen power supply system and the number of isolated nodes after the distribution network is divided into islands. The goal is to obtain the target scheduling scheme for the mobile hydrogen power supply system after a power failure node occurs in the distribution network.

[0035] Thirdly, embodiments of the present invention provide an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to perform the steps of the method as described in the first aspect or any possible implementation thereof.

[0036] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method as described in the first aspect or any possible implementation thereof.

[0037] This invention provides an emergency dispatch method for a mobile hydrogen power supply system. After a power outage and / or predicted power shortage at a distribution network node, the method obtains the location and power shortage of each power-out node, as well as the location and power supply of each mobile hydrogen power supply system. Then, based on the location and power shortage of each power-out node, and the location and initial capacity of each mobile hydrogen power supply system, a multi-objective optimization is performed using the mobile path model, energy consumption characteristics, and output model considering renewable energy output deviation of the mobile hydrogen power supply system. The objectives are to minimize the total life-cycle economic cost of the mobile hydrogen power supply system and the number of isolated nodes after distribution network islanding. This yields a target dispatch scheme for the mobile hydrogen power supply system after a power outage at a distribution network node. Since the process of obtaining the target dispatch scheme is based on the output model considering renewable energy output deviation, the obtained target dispatch scheme is more suitable for distribution network environments with high renewable energy penetration. Furthermore, the target dispatch scheme considering the energy consumption characteristics of the mobile hydrogen power supply system reflects the energy consumption characteristics of the hydrogen power supply system when used as an emergency power source, thus providing theoretical support for the actual dispatch of the mobile hydrogen power supply system. Furthermore, with the goal of minimizing the economic cost over the entire life cycle and minimizing the number of isolated nodes after the distribution network is divided into islands, it can reduce resource waste and save costs while improving the network reconstruction capability after a distribution network failure, thereby ensuring the power supply to important loads as soon as possible. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a flowchart illustrating the implementation of the emergency dispatch method for a mobile hydrogen energy power supply system provided in this embodiment of the invention.

[0040] Figure 2 This is a schematic diagram of the structure of the mobile hydrogen energy power supply system emergency dispatch device provided in an embodiment of the present invention;

[0041] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0042] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0043] To make the objectives, technical solutions, and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0044] See Figure 1 The document illustrates a flowchart of the implementation of an emergency dispatch method for a mobile hydrogen energy power supply system provided in an embodiment of the present invention, detailed below:

[0045] In step 101, after a power outage and / or a predicted power shortage at a node in the distribution network, the location and power shortage of each node are obtained, as well as the location and initial capacity of each portable hydrogen power supply system.

[0046] This embodiment can be applied to distribution networks containing high-density renewable energy. The distribution network may include conventional thermal power units, wind power systems, photovoltaic power systems, portable hydrogen power supply systems, and regional distributed loads such as equipment loads, operational loads, and residential loads. These regional distributed loads are connected to the distribution network via power lines. This distribution network can be connected to the external power grid through a point of common coupling (PCC), allowing it to draw power from the external grid.

[0047] Each portable hydrogen power supply system can operate in three modes: idle mode, peak shaving mode, and emergency power supply mode. Idle mode can be active idleness when the distribution network is operating smoothly and there is no need for charging or discharging, or passive idleness when the portable hydrogen power supply system is under maintenance. Peak shaving mode involves connecting the portable hydrogen power supply system to a renewable energy grid connection point to reduce peak loads during peak periods of distribution network operation, sufficient load power supply, and renewable energy generation. Emergency power supply mode involves providing emergency power to the load based on the dispatch instructions obtained from the emergency dispatch method provided in this embodiment of the invention when there are power shortages such as localized power gaps, uneven load distribution across multiple levels, or power outages.

[0048] When the portable hydrogen-powered power supply system operates in emergency power supply mode, it can determine the load's power shortage status based on historical load data monitoring and big data prediction, thereby identifying whether a node is a power outage node. In determining the load's power shortage status, loads requiring connection to emergency devices can be weighted according to the degree of power loss impact. This satisfies the requirements of grid repair sequence and grid restoration importance after a sudden power outage, ensuring the fastest possible power supply to critical loads. The degree of power loss impact can be measured through social impact, property impact, and production capacity impact.

[0049] In this embodiment, since the location and power loss of each power-out node after a power failure and / or predicted power shortage in the distribution network are different, as are the location and initial capacity of each portable hydrogen power supply system, the required emergency dispatch schemes are also different. Therefore, the location and power loss of each power-out node, as well as the location and initial capacity of each portable hydrogen power supply system, are first obtained to facilitate flexible dispatch of the portable hydrogen power supply systems based on different situations.

[0050] In step 102, based on the location and power loss of each power failure node, as well as the location and initial capacity of each mobile hydrogen power supply system, multi-objective optimization is performed based on the mobile path model, energy consumption characteristics, and output model considering the output deviation of renewable energy of the mobile hydrogen power supply system. The objectives are to minimize the economic cost of the entire life cycle of the mobile hydrogen power supply system and minimize the number of isolated nodes after the distribution network is divided into islands. This yields the target scheduling scheme for the mobile hydrogen power supply system after a power failure node occurs in the distribution network.

[0051] In this embodiment, before determining the target scheduling scheme for the mobile hydrogen power supply system after a power outage occurs in the distribution network based on the location and power shortage of each power outage node, as well as the location and initial capacity of each mobile hydrogen power supply system, the movement path model of the mobile hydrogen power supply system is first determined. Then, charging and discharging constraints, capacity constraints, and distribution network access constraints are designed in conjunction with the energy consumption characteristics of the mobile hydrogen power supply system during emergency power supply. Simultaneously, the line carrying capacity constraints, node voltage constraints, diesel generator output constraints, and output model considering the uncertainty of renewable energy output are also taken into account. Then, a two-level optimization is performed to minimize the total lifecycle economic cost of the mobile hydrogen power supply system and the number of isolated nodes after distribution network islanding. The upper-level objective function (i.e., the first objective function) is to minimize the total lifecycle economic cost of the mobile hydrogen power supply system, and the lower-level objective function (i.e., the second objective function) is to minimize the number of isolated nodes after distribution network islanding following a power outage.

[0052] The mobility path model for the portable hydrogen power supply system can be:

[0053]

[0054] Among them, l ij Let be the shortest distance from the i-th node to the j-th node in the distribution network, where i,j∈N, and N is the set of all nodes in the distribution network, including 1,2,…n.

[0055]

[0056] Where W is a matrix with elements of 0 or 1, w ij Characterizes whether a portable hydrogen power supply system can be moved from the i-th node to the j-th node of the distribution network, w ij =1 indicates that a portable hydrogen power supply system has moved from the i-th node to the j-th node in the distribution network, w ij =0 indicates that no portable hydrogen power supply system has been moved from the i-th node to the j-th node of the distribution network.

[0057] Optionally, the energy consumption characteristics of a portable hydrogen power supply system may include the charging and discharging constraints, capacity constraints, and grid connection constraints of the portable hydrogen power supply system.

[0058] The charging and discharging constraints can be:

[0059]

[0060] Capacity constraints can be:

[0061]

[0062] The constraints for connecting to the distribution network can be:

[0063]

[0064] in, Let V be the charging power of the Vth portable hydrogen power supply system at time t. This represents the minimum charging power of the Vth portable hydrogen power supply system. This represents the maximum charging power of the Vth portable hydrogen power supply system. Let V be the discharge power of the Vth portable hydrogen power supply system at time t. Let V be the minimum discharge power of the Vth portable hydrogen power supply system. This represents the maximum discharge power of the Vth portable hydrogen power supply system. Let V be the minimum capacity of the Vth portable hydrogen power supply system. Let i be the initial capacity of the Vth portable hydrogen power supply system. b ∈N, ib Let N be the node where the Vth mobile hydrogen power supply system is connected to the distribution network, N be the set of all nodes in the distribution network, and T be the total scheduling time of the Vth mobile hydrogen power supply system. The charging efficiency of the Vth portable hydrogen power supply system. Let be the discharge efficiency of the Vth portable hydrogen power supply system, and τ be the minimum time period. V represents the maximum capacity of the Vth portable hydrogen power supply system. H Let NZ be the total number of portable hydrogen power supply systems included in the set of portable hydrogen power supply systems, and let NZ() be a function to determine whether the value is 0 or 1, where NZ(0) = 0 and NZ(≠0) = 1. Let i be the number of mobile hydrogen power supply systems at time t in the distribution network. b The charging power of the node, Let i be the number of mobile hydrogen power supply systems at time t in the distribution network. b The discharge power of the node.

[0065] Among these constraints, the charging and discharging power of the portable hydrogen power supply system is limited to not exceeding its upper and lower limits. The capacity constraint limits the capacity of the portable hydrogen power supply system operating in emergency power supply mode to not exceeding its upper and lower limits. The grid connection constraint limits each node to a maximum of one portable hydrogen power supply system at any given time.

[0066] The mobile path model of the mobile hydrogen power supply system in this embodiment, along with its charging and discharging constraints, capacity constraints, and grid connection constraints, reflects the energy consumption and mobility characteristics of the mobile hydrogen power supply system when used as an emergency power source, thus providing theoretical support for the actual scheduling of the mobile hydrogen power supply system.

[0067] Based on this, the constraints that the distribution network applying this mobile hydrogen power supply system emergency dispatch method must meet include:

[0068] Line load-bearing capacity constraints:

[0069] P ij,t ≤P ij,max ;

[0070] Among them, P ij,t Let P be the power carried on the line between the i-th node and the j-th node in the distribution network at time t. ij,max This represents the maximum power that the line between the i-th node and the j-th node in the distribution network can carry.

[0071] Node voltage constraints:

[0072] V i , min ≤V i,t ≤V i,max ;

[0073] Among them, V i,t Let V be the voltage at the i-th node in the distribution network at time t. i , min V represents the minimum voltage at the i-th node in the distribution network. i,max This represents the maximum voltage value of the i-th node in the distribution network.

[0074] The generation constraints of diesel generators in the power distribution network are:

[0075] P g,min ≤P g,t ≤P g,max ;

[0076] Among them, P g,t Let P be the power output of the diesel generator at time t. g,min P represents the minimum power output of the diesel generator. g,max This represents the maximum power output of the diesel generator.

[0077] Alternatively, the output model that considers the output deviation of renewable energy sources can be:

[0078]

[0079] Among them, P re,d Let d be the actual output power of the d-th renewable energy unit. Let d be the predicted output power of the d-th renewable energy unit. Let be the marginal variable of the over-output power deviation of the d-th renewable energy unit. Let d be the over-generation power deviation of the d-th renewable energy unit that exceeds the predicted output power. Let be the marginal variable of the reduced power generation deviation of the d-th renewable energy unit. N represents the power deviation of the d-th renewable energy unit from its predicted output. d Ψ represents the total number of renewable energy units, and Ψ represents the deviation of the overall output prediction of renewable energy units.

[0080] In conventional emergency power dispatching, the output status and output deviation of renewable energy are rarely considered. The output model of this embodiment, which considers the output deviation of renewable energy, limits the output constraints of renewable power output uncertainty and is more suitable for the current distribution network environment with high penetration of renewable energy.

[0081] Optionally, the first objective function, which aims to minimize the total lifecycle economic cost of a portable hydrogen power supply system, can be:

[0082] minC=C disp +C loss +∑MH m ;

[0083] Where C represents the total lifecycle economic cost of the portable hydrogen energy power supply system, C disp For the minimum dispatch cost of a mobile hydrogen power supply system, C l o ss The power loss is the loss at all power outage nodes in the distribution network related to the scheduling time, M is the weighting coefficient determined based on the Big M method, and H is the power loss loss at all power outage nodes in the distribution network related to the scheduling time. m The degree of load recovery balance for all power-loss nodes of level m.

[0084] The upper-level objective function for minimizing the total lifecycle economic cost of the portable hydrogen power supply system in this embodiment includes power outage losses, the dispatch cost of the portable hydrogen power supply system, and the load recovery balance degree, which characterizes the social impact of uneven recovery of loads of the same level.

[0085] In conventional emergency power dispatching methods, emergency power investment is often ignored. However, the upper objective function of this invention comprehensively considers the overall cost of responding to emergency dispatching and the cost of on-site storage of the mobile hydrogen power generation system throughout its entire life cycle, which helps to reduce resource waste and save costs.

[0086] Optionally, the calculation method for power outage losses related to scheduling time at all power outage nodes in the distribution network can be as follows:

[0087] according to Calculate the power loss of all power outage nodes in the distribution network in relation to the scheduling time.

[0088] Among them, C l o ss For all power outages in the distribution network, the loss is related to the dispatch time. ij Let w be the shortest distance from the i-th node to the j-th node in the distribution network, and N be the set of all nodes in the distribution network. ij Characterizes whether a portable hydrogen power supply system can be moved from the i-th node to the j-th node of the distribution network, w ij =1 indicates that a portable hydrogen power supply system has moved from the i-th node to the j-th node in the distribution network, w ij =0 indicates that no portable hydrogen power supply system moves from the i-th node to the j-th node in the distribution network, v is the moving speed of the portable hydrogen power supply system, and t is the moving speed of the portable hydrogen power supply system. in For a mobile hydrogen power supply system, the operation time from arriving at a node in the distribution network to being connected is given by a. j b j cj These represent the social loss, property loss, and production capacity loss per unit time and unit capacity load when the j-th node in the distribution network is a power outage node, respectively. j Let P be the power shortage when the j-th node in the distribution network is a power outage node. VH Let V be the power supply of the Vth portable hydrogen power supply system, where V∈VH, and VH is the set of portable hydrogen power supply systems.

[0089] The upper-level objective function for minimizing the total lifecycle economic cost of the portable hydrogen power supply system in this embodiment considers the power loss losses related to scheduling time at all power outage nodes in the distribution network to determine the target scheduling scheme corresponding to the power outage in the distribution network, thereby minimizing the losses caused by load power shortages.

[0090] Optionally, the minimum dispatch cost of a mobile hydrogen power supply system can be calculated as follows:

[0091] according to Calculate the minimum dispatch cost of a portable hydrogen power supply system.

[0092] Among them, C disp For the minimum dispatch cost of a mobile hydrogen power supply system, C inv For the daily investment cost of a portable hydrogen power supply system, Co per C is the operating cost determined based on the operating status of each portable hydrogen power supply system. H The unit cost of each portable hydrogen-powered system, V H Y represents the total number of portable hydrogen power supply systems included in the collection of portable hydrogen power supply systems. H For the service life of portable hydrogen power supply systems, C unit-dis For the unit distance delivery cost of mobile hydrogen-powered power systems, l ij Let w be the shortest distance from the i-th node to the j-th node in the distribution network, and N be the set of all nodes in the distribution network. ij Characterizes whether a portable hydrogen power supply system can be moved from the i-th node to the j-th node of the distribution network, w ij =1 indicates that a portable hydrogen power supply system has moved from the i-th node to the j-th node in the distribution network, w ij =0 indicates that no portable hydrogen power supply system has moved from the i-th node to the j-th node of the distribution network, C annual The annualized maintenance cost of a single portable hydrogen-powered system, Ω H The number of portable hydrogen power systems that provide emergency support for all portable hydrogen power systems.

[0093] The minimum dispatch cost of the portable hydrogen power supply system in this embodiment of the invention takes into account the combined cost of emergency dispatch and on-site storage, which helps to reduce resource waste, save costs, and improve economic efficiency.

[0094] Optionally, the load recovery balance of all power-loss nodes at level m can be calculated as follows:

[0095] according to Calculate the load recovery balance of all power-loss nodes at level m.

[0096] Among them, H m The load recovery balance of all power-loss nodes in level m is given by J, where J is the number of all power-loss nodes in level m, and q is the load balance of all power-loss nodes in level m. j P represents the load capacity of the j-th power failure node of level m. jr Let P be the current actual power of the j-th power-loss node of level m. j,min P represents the power loss at the j-th power loss node of level m. i,max Let P(P) be the power of the j-th power failure node of level m during normal operation. j,k ) is to [P j,min ,P i,max The arithmetic progression is divided into [D0, D1, ... D]. K After that, the current actual power P of the j-th power-loss node of level m. jr In [D] k D k+1 The probability within ] .

[0097] The upper-level objective function of the portable hydrogen power supply system in this embodiment, which minimizes the economic cost over its entire life cycle, also considers the social impact of uneven load recovery at each level to determine the target scheduling scheme corresponding to the power outage in the distribution network. This can further reduce the losses caused by load shortages and improve the power supply quality and the operational safety of the distribution network.

[0098] Building upon this, to enhance the grid reconfiguration capability after a distribution network fault and further improve power supply quality and distribution network operational safety, a lower-level objective function can be set to minimize the number of isolated nodes after islanding the distribution network. Minimizing the number of isolated nodes after islanding refers to, after a power outage and / or predicted power shortage at a node in the distribution network, based on islanding using renewable energy sources with energy storage and diesel generators as self-starting power sources, dispatching a mobile hydrogen power supply system to merge as many islands as possible, thereby minimizing the number of remaining isolated nodes after islanding in the distribution network.

[0099] The formula for the lower-level objective function can be expressed as:

[0100] min N iso =nN bst -N G ;

[0101] Where, N iso N represents the number of isolated nodes after the distribution network is divided into islands. bst N represents the number of power generation nodes in the distribution network. G The number of nodes (excluding power sources) within each island after islanding the distribution network.

[0102] In islanding, when using renewable energy sources with energy storage and diesel generators in the distribution network as self-starting power sources, the power supply radius can be the load of adjacent nodes that the corresponding generating capacity can cover. The islanding constraints that islanding should satisfy can be expressed as follows:

[0103]

[0104] Where, β ij,g Indicates whether the i-th node in the isolated island g is the parent node of the j-th node, β ij,g =1 indicates that the i-th node in the isolated island g is not the parent node of the j-th node, β ij,g =0 indicates that the i-th node in the isolated island g is the parent node of the j-th node, α G,g =1 indicates that the line is inside the island g, α G,g =0 indicates that the line is not within the island g, Ω(i) represents all nodes connected to the i-th node in the distribution network, and N Gg Let β represent the set of non-power nodes within island g. bst,j,g =0 indicates that the black starting node, as a balanced node, has no parent node.

[0105] In this embodiment, considering the issues of local consumption of renewable energy sources such as photovoltaic and wind power and load power supply guarantee in a distribution network with high-density renewable energy, and combining the uncertainty and randomness of renewable energy power generation in the distribution network, as well as the spatiotemporal characteristics of the mobile hydrogen power supply system itself, its energy consumption characteristics in emergency dispatch, and the total life cycle investment cost and dispatch cost, the target dispatch scheme corresponding to the power outage node of the distribution network is determined. The mobile hydrogen power supply system can be flexibly dispatched to reduce the losses caused by power shortage loads, ensure the power supply of important loads as quickly as possible, and improve economic benefits. At the same time, it takes into account the order of grid repair and the importance of grid restoration after sudden failure of the distribution network, improves the emergency response capability of the distribution network to sudden events, improves the grid reconstruction capability after the distribution network failure, and improves the power supply quality and the operational safety of the distribution network.

[0106] This invention, in its embodiments, obtains the location and power loss of each power outage node and the location and power supply of each portable hydrogen power supply system after a power outage and / or predicted power shortage at a distribution network fault. Then, based on the location and power loss of each power outage node, and the location and initial capacity of each portable hydrogen power supply system, a multi-objective optimization is performed using the mobile path model, energy consumption characteristics, and output model considering renewable energy output deviation of the portable hydrogen power supply system. The objectives are to minimize the total life-cycle economic cost of the portable hydrogen power supply system and the number of isolated nodes after distribution network islanding. This yields a target scheduling scheme for the portable hydrogen power supply system after a power outage at a distribution network fault node. Because the process of obtaining the target scheduling scheme is based on the output model considering renewable energy output deviation, the obtained target scheduling scheme is more suitable for distribution network environments with high renewable energy penetration. Furthermore, the target scheduling scheme considering the energy consumption characteristics of the portable hydrogen power supply system reflects the energy consumption characteristics of the hydrogen power supply system when used as an emergency power source, thus providing theoretical support for the actual scheduling of the portable hydrogen power supply system. Furthermore, with the goal of minimizing the economic cost over the entire life cycle and minimizing the number of isolated nodes after the distribution network is divided into islands, it can reduce resource waste and save costs while improving the network reconstruction capability after a distribution network failure, thereby ensuring the power supply to important loads as soon as possible.

[0107] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0108] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0109] Figure 2 A schematic diagram of the structure of the mobile hydrogen energy power supply system emergency dispatch device provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below:

[0110] like Figure 2 As shown, the mobile hydrogen energy power supply system emergency dispatch device includes: acquisition module 21 and dispatch module 22.

[0111] The acquisition module is used to acquire the location and power loss of each power failure node, as well as the location and initial capacity of each portable hydrogen power supply system, after a power failure and / or a predicted power shortage node occurs in the distribution network.

[0112] The scheduling module is used to perform multi-objective optimization based on the location and power loss of each power failure node, as well as the location and initial capacity of each mobile hydrogen power supply system. It is based on the mobile path model, energy consumption characteristics, and output model that considers the output deviation of renewable energy, and aims to minimize the economic cost of the entire life cycle of the mobile hydrogen power supply system and the number of isolated nodes after the distribution network is divided into islands. The goal is to obtain the target scheduling scheme for the mobile hydrogen power supply system after a power failure node occurs in the distribution network.

[0113] This invention, in its embodiments, obtains the location and power loss of each power outage node and the location and power supply of each portable hydrogen power supply system after a power outage and / or predicted power shortage at a distribution network fault. Then, based on the location and power loss of each power outage node, and the location and initial capacity of each portable hydrogen power supply system, a multi-objective optimization is performed using the mobile path model, energy consumption characteristics, and output model considering renewable energy output deviation of the portable hydrogen power supply system. The objectives are to minimize the total life-cycle economic cost of the portable hydrogen power supply system and the number of isolated nodes after distribution network islanding. This yields a target scheduling scheme for the portable hydrogen power supply system after a power outage at a distribution network fault node. Because the process of obtaining the target scheduling scheme is based on the output model considering renewable energy output deviation, the obtained target scheduling scheme is more suitable for distribution network environments with high renewable energy penetration. Furthermore, the target scheduling scheme considering the energy consumption characteristics of the portable hydrogen power supply system reflects the energy consumption characteristics of the hydrogen power supply system when used as an emergency power source, thus providing theoretical support for the actual scheduling of the portable hydrogen power supply system. Furthermore, with the goal of minimizing the economic cost over the entire life cycle and minimizing the number of isolated nodes after the distribution network is divided into islands, it can reduce resource waste and save costs while improving the network reconstruction capability after a distribution network failure, thereby ensuring the power supply to important loads as soon as possible.

[0114] In one possible implementation, the first objective function in scheduling module 22, which aims to minimize the total lifecycle economic cost of the mobile hydrogen power supply system, is:

[0115] minC=C disp +C loss +∑MH m ;

[0116] Where C represents the total lifecycle economic cost of the portable hydrogen energy power supply system, C disp For the minimum dispatch cost of a mobile hydrogen power supply system, C loss The power loss is the loss at all power outage nodes in the distribution network related to the scheduling time, M is the weighting coefficient determined based on the Big M method, and H is the power loss loss at all power outage nodes in the distribution network related to the scheduling time. m The degree of load recovery balance for all power-loss nodes of level m.

[0117] In one possible implementation, the calculation method for the power loss loss of all power-out nodes in the distribution network in the scheduling module 22 related to the scheduling time is as follows:

[0118] according to Calculate the power loss at all power outage nodes in the distribution network as a function of the scheduling time;

[0119] Among them, C loss For all power outages in the distribution network, the loss is related to the dispatch time. ij Let w be the shortest distance from the i-th node to the j-th node in the distribution network, and N be the set of all nodes in the distribution network. ij Characterizes whether a portable hydrogen power supply system can be moved from the i-th node to the j-th node of the distribution network, w ij =1 indicates that a portable hydrogen power supply system has moved from the i-th node to the j-th node in the distribution network, w ij =0 indicates that no portable hydrogen power supply system moves from the i-th node to the j-th node in the distribution network, v is the moving speed of the portable hydrogen power supply system, and t is the moving speed of the portable hydrogen power supply system. in For a mobile hydrogen power supply system, the operation time from arriving at a node in the distribution network to being connected is given by a. j b j c j These represent the social loss, property loss, and production capacity loss per unit time and unit capacity load when the j-th node in the distribution network is a power outage node, respectively. j Let P be the power shortage when the j-th node in the distribution network is a power outage node. VH Let V be the power supply of the Vth portable hydrogen power supply system, where V∈VH, and VH is the set of portable hydrogen power supply systems.

[0120] In one possible implementation, the minimum scheduling cost of the mobile hydrogen power supply system in scheduling module 22 is calculated as follows:

[0121] according to Calculate the minimum dispatch cost of a portable hydrogen power supply system;

[0122] Among them, C disp For the minimum dispatch cost of a mobile hydrogen power supply system, C inv For the daily investment cost of a portable hydrogen power supply system, Co per C is the operating cost determined based on the operating status of each portable hydrogen power supply system. H The unit cost of each portable hydrogen-powered system, V H Y represents the total number of portable hydrogen power supply systems included in the collection of portable hydrogen power supply systems.H For the service life of portable hydrogen power supply systems, C unit-dis For the unit distance delivery cost of mobile hydrogen-powered power systems, l ij Let w be the shortest distance from the i-th node to the j-th node in the distribution network, and N be the set of all nodes in the distribution network. ij Characterizes whether a portable hydrogen power supply system can be moved from the i-th node to the j-th node of the distribution network, w ij =1 indicates that a portable hydrogen power supply system has moved from the i-th node to the j-th node in the distribution network, w ij =0 indicates that no portable hydrogen power supply system has moved from the i-th node to the j-th node of the distribution network, C annual The annualized maintenance cost of a single portable hydrogen-powered system, Ω H The number of portable hydrogen power systems that provide emergency support for all portable hydrogen power systems.

[0123] In one possible implementation, the load recovery balance of all power-loss nodes in level m of the scheduling module 22 is calculated as follows:

[0124] according to Calculate the load recovery balance of all power-loss nodes at level m;

[0125] Among them, H m The load recovery balance of all power-loss nodes in level m is given by J, where J is the number of all power-loss nodes in level m, and q is the load balance of all power-loss nodes in level m. j P represents the load capacity of the j-th power failure node of level m. jr Let P be the current actual power of the j-th power-loss node of level m. j,min P represents the power loss at the j-th power loss node of level m. i,max Let P(P) be the power of the j-th power failure node of level m during normal operation. j,k ) is to [P j,min ,P i,max The arithmetic progression is divided into [D0, D1, ... D]. K After that, the current actual power P of the j-th power-loss node of level m. jr In [D] k D k+1 The probability within ] .

[0126] In one possible implementation, the energy consumption characteristics of the mobile hydrogen power supply system in the scheduling module 22 include the charging and discharging constraints, capacity constraints, and grid connection constraints of the mobile hydrogen power supply system.

[0127] The charging and discharging constraint conditions are as follows:

[0128]

[0129] The capacity constraint is as follows:

[0130]

[0131] The constraints for accessing the distribution network are as follows:

[0132]

[0133] in, Let V be the charging power of the Vth portable hydrogen power supply system at time t. This represents the minimum charging power of the Vth portable hydrogen power supply system. This represents the maximum charging power of the Vth portable hydrogen power supply system. Let V be the discharge power of the Vth portable hydrogen power supply system at time t. Let V be the minimum discharge power of the Vth portable hydrogen power supply system. This represents the maximum discharge power of the Vth portable hydrogen power supply system. Let V be the minimum capacity of the Vth portable hydrogen power supply system. Let i be the initial capacity of the Vth portable hydrogen power supply system. b ∈N, i b Let N be the node where the Vth mobile hydrogen power supply system is connected to the distribution network, N be the set of all nodes in the distribution network, and T be the total scheduling time of the Vth mobile hydrogen power supply system. The charging efficiency of the Vth portable hydrogen power supply system. Let be the discharge efficiency of the Vth portable hydrogen power supply system, and τ be the minimum time period. V represents the maximum capacity of the Vth portable hydrogen power supply system. H Let NZ be the total number of portable hydrogen power supply systems included in the set of portable hydrogen power supply systems, and let NZ() be a function to determine whether the value is 0 or 1, where NZ(0) = 0 and NZ(≠0) = 1. Let i be the number of mobile hydrogen power supply systems at time t in the distribution network. b The charging power of the node, Let i be the number of mobile hydrogen power supply systems at time t in the distribution network. b The discharge power of the node.

[0134] In one possible implementation, the output model in scheduling module 22 that considers renewable energy output deviation is as follows:

[0135]

[0136] Among them, P re,d Let d be the actual output power of the d-th renewable energy unit. Let d be the predicted output power of the d-th renewable energy unit. Let be the marginal variable of the over-output power deviation of the d-th renewable energy unit. Let d be the over-generation power deviation of the d-th renewable energy unit that exceeds the predicted output power. Let be the marginal variable of the reduced power generation deviation of the d-th renewable energy unit. N represents the power deviation of the d-th renewable energy unit from its predicted output. d Ψ represents the total number of renewable energy units, and Ψ represents the deviation of the overall output prediction of renewable energy units.

[0137] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. For example... Figure 3 As shown, the electronic device 3 in this embodiment includes a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30. When the processor 30 executes the computer program 32, it implements the steps in the various embodiments of the emergency dispatch method for the portable hydrogen power supply system described above, for example... Figure 1 Steps 101 to 102 are shown. Alternatively, when processor 30 executes computer program 32, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 2 The functions of modules / units 21 to 22 shown.

[0138] For example, computer program 32 can be divided into one or more modules / units, one or more of which are stored in memory 31 and executed by processor 30 to complete the present invention. One or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of computer program 32 in electronic device 3. For example, computer program 32 can be divided into... Figure 2 Modules / units 21 to 22 are shown.

[0139] Electronic device 3 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. Electronic device 3 may include, but is not limited to, processor 30 and memory 31. Those skilled in the art will understand that... Figure 3 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device may also include input / output devices, network access devices, buses, etc.

[0140] The processor 30 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0141] The memory 31 can be an internal storage unit of the electronic device 3, such as a hard disk or RAM. The memory 31 can also be an external storage device of the electronic device 3, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 31 can include both internal and external storage units of the electronic device 3. The memory 31 is used to store computer programs and other programs and data required by the electronic device. The memory 31 can also be used to temporarily store data that has been output or will be output.

[0142] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0143] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0144] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0145] In the embodiments provided by this invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0146] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0147] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0148] If integrated modules / units are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the above embodiments of the emergency dispatch method for the various portable hydrogen energy power supply systems. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc.

[0149] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A mobile hydrogen energy power supply system emergency dispatch method, characterized in that, include: After a power outage occurs in the distribution network and / or a power shortage is predicted at a node, the location and power shortage of each node, as well as the location and initial capacity of each portable hydrogen power supply system, are obtained. Based on the location and power loss of each power failure node, as well as the location and initial capacity of each mobile hydrogen power supply system, and based on the mobile path model, energy consumption characteristics, and output model considering the output deviation of renewable energy, multi-objective optimization is performed with the objectives of minimizing the full life cycle economic cost of the mobile hydrogen power supply system and minimizing the number of isolated nodes after the distribution network is divided into islands. This yields the target scheduling scheme for the mobile hydrogen power supply system after a power failure node appears in the distribution network. The first objective function, which aims to minimize the total lifecycle economic cost of a portable hydrogen power supply system, is: ； wherein, is the full life cycle economic cost of the mobile hydrogen energy powered system, is the minimum dispatch cost of the mobile hydrogen energy powered system, is the outage loss of all outage nodes in the distribution grid related to the dispatch time, is the weight coefficient determined based on the large M method, is the rank of the load restoration balance degree of all outage nodes. The rank The load recovery balance degree of all power-down nodes is calculated in the following way: According to , the load recovery balance degree of all power-down nodes of the rank is calculated. in, For level The degree of load balancing recovery at all power-loss nodes. For level The number of all power outage nodes, For level The The load capacity of each power failure node For level The The current actual power of each power-out node. For level The The power of each power-loss node when it loses power For level The The power of a power-loss node during normal operation. To be Arithmetic progression is divided into After that, the level The The current actual power of each power-out node exist The probability within.

2. The emergency dispatch method for a mobile hydrogen energy power supply system according to claim 1, characterized in that, The calculation method for power outage losses related to scheduling time at all power outage nodes in the distribution network is as follows: according to Calculate the power loss of all power outage nodes in the distribution network in relation to the scheduling time; in, This refers to the power loss losses related to the dispatch time at all power outage nodes in the distribution network. For the first in the distribution network The node to the first The shortest distance between nodes, The set of all nodes in the distribution network. Indicates whether there is a portable hydrogen power supply system from the distribution network. The node moves to the _th ... 1 node This indicates that there is a portable hydrogen power supply system from the distribution network. The node moves to the _th ... 1 node This indicates that there is no portable hydrogen power supply system from the distribution network. The node moves to the _th ... 1 node For the mobility speed of the portable hydrogen-powered power system, The operation time from the arrival at a node in the distribution network to the connection of a portable hydrogen power supply system. , , The first in the distribution network The social losses, property losses, and production capacity losses per unit time and unit capacity load when a node is a power outage node. For the first in the distribution network Power shortage when each node is a power-out node For the first The power output of a portable hydrogen-powered power supply system, , A collection of portable hydrogen-powered power supply systems.

3. The emergency dispatch method for a mobile hydrogen energy power supply system according to claim 1, characterized in that, The minimum scheduling cost of the mobile hydrogen power supply system is calculated as follows: according to Calculate the minimum dispatch cost of a mobile hydrogen power supply system; in, To minimize the dispatch cost of a mobile hydrogen power supply system, The daily investment cost of a portable hydrogen power supply system, The operating cost is determined based on the operating status of each portable hydrogen power supply system. The unit cost of each portable hydrogen-powered power system, This refers to the total number of portable hydrogen power supply systems included in the collection of portable hydrogen power supply systems. The service life of a portable hydrogen-powered power system. The unit distance delivery cost for portable hydrogen-powered power systems. For the first in the distribution network The node to the first The shortest distance between nodes, The set of all nodes in the distribution network. Indicates whether there is a portable hydrogen power supply system from the distribution network. The node moves to the _th ... 1 node This indicates that there is a portable hydrogen power supply system from the distribution network. The node moves to the _th ... 1 node This indicates that there is no portable hydrogen power supply system from the distribution network. The node moves to the _th ... 1 node The annualized maintenance cost for a single portable hydrogen-powered system, The number of portable hydrogen power systems that provide emergency support for all portable hydrogen power systems.

4. The emergency dispatch method for a mobile hydrogen energy power supply system according to any one of claims 1-3, characterized in that, The energy consumption characteristics of the portable hydrogen power supply system include the charging and discharging constraints, capacity constraints, and grid connection constraints of the portable hydrogen power supply system. The charging and discharging constraint conditions are as follows: ； The capacity constraint is as follows: ； The constraints for accessing the distribution network are as follows: ； in, for Time of the first The charging power of a portable hydrogen-powered system, For the first Minimum charging power of a portable hydrogen-powered power supply system For the first The maximum charging power of a portable hydrogen-powered power supply system. for Time of the first The discharge power of a portable hydrogen-powered power supply system, For the first Minimum discharge power of a portable hydrogen-powered power supply system For the first The maximum discharge power of a portable hydrogen-powered power supply system. For the first Minimum capacity of a portable hydrogen-powered power system For the first The initial capacity of a portable hydrogen-powered power system, , For the first A node for connecting a mobile hydrogen power supply system to the distribution network. The set of all nodes in the distribution network. For the first Total scheduling time for a mobile hydrogen power supply system For the first The charging efficiency of a portable hydrogen-powered power system For the first The discharge efficiency of a portable hydrogen-powered power supply system For the minimum time period, For the first The maximum capacity of a portable hydrogen power supply system. This refers to the total number of portable hydrogen power supply systems included in the collection of portable hydrogen power supply systems. A function to determine whether the value is 0 or 1. , , for Time of the first A portable hydrogen-powered power supply system in the power distribution network The charging power of the node, for Time of the first A portable hydrogen-powered power supply system in the power distribution network The discharge power of the node.

5. The emergency dispatch method for a mobile hydrogen energy power supply system according to any one of claims 1-3, characterized in that, The output model that considers the output deviation of renewable energy is as follows: ； in, For the first The actual output power of each renewable energy unit For the first The projected output power of each renewable energy unit For the first The marginal variable of the over-output deviation of a renewable energy unit. For the first The excess power output deviation of the renewable energy units exceeding the predicted output power For the first The marginal variable of the power generation deviation of a renewable energy unit For the first The power output deviation of the renewable energy units exceeded the predicted output power. The total number of renewable energy units. The deviation of the overall output prediction for renewable energy units.

6. A mobile hydrogen energy power supply system emergency dispatch device, characterized in that, include: The acquisition module is used to acquire the location and power loss of each power failure node, as well as the location and initial capacity of each portable hydrogen power supply system, after a power failure and / or a predicted power shortage node occurs in the distribution network. The scheduling module is used to perform multi-objective optimization based on the location and power shortage of each power failure node, as well as the location and initial capacity of each mobile hydrogen power supply system. It is based on the mobile path model, energy consumption characteristics, and output model that considers the output deviation of renewable energy, with the objectives of minimizing the full life cycle economic cost of the mobile hydrogen power supply system and minimizing the number of isolated nodes after the distribution network is divided into islands. The goal is to obtain the target scheduling scheme corresponding to the mobile hydrogen power supply system after a power failure node appears in the distribution network. The first objective function, which aims to minimize the total lifecycle economic cost of a portable hydrogen power supply system, is: ； in, The total lifecycle economic cost of a portable hydrogen power supply system. To minimize the dispatch cost of a mobile hydrogen power supply system, This refers to the power loss losses related to the dispatch time at all power outage nodes in the distribution network. The weighting coefficients are determined based on the Big M method. For level The degree of load balancing recovery at all power-loss nodes; The level The calculation method for the load recovery balance of all power-loss nodes is as follows: according to Calculation level The degree of load balancing recovery at all power-loss nodes; in, For level The degree of load balancing recovery at all power-loss nodes. For level The number of all power outage nodes, For level The The load capacity of each power failure node For level The The current actual power of each power-out node. For level The The power of each power-loss node when it loses power For level The The power of a power-loss node during normal operation. To be Arithmetic progression is divided into After that, the level The The current actual power of each power-out node exist The probability within.

7. An electronic device, characterized in that, It includes a memory and a processor, the memory being used to store a computer program, and the processor being used to call and run the computer program stored in the memory to perform the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 5 above.

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