A method and system for scheduling a mobile hydrogen energy microgrid based on combined heat and power

Abstract

This invention discloses a method and system for scheduling mobile hydrogen microgrids based on combined heat and power (CHP), which acquires the routing time information of damaged lines and vehicles after a disaster. Based on the routing time information of damaged lines and vehicles after a disaster, and with the objective of minimizing economic losses during the recovery process, an optimal scheduling model for mobile hydrogen microgrids based on CHP is established. The optimal scheduling scheme for maintenance personnel and mobile hydrogen microgrids is obtained by solving the CHP-based mobile hydrogen microgrid scheduling model. This method can coordinate the routing and scheduling of maintenance personnel and mobile hydrogen microgrids, improving the reliability and resilience of power supply in remote areas and the reliability of heating network supply.

Description

Technical Field

[0001] This invention belongs to the field of hydrogen energy application technology, specifically relating to a mobile hydrogen microgrid scheduling method and system based on combined heat and power. Background Technology

[0002] In extreme weather conditions, the probability of multiple components in a distribution network failing simultaneously or even cascading out in remote areas increases significantly. Furthermore, disasters such as blizzards and cold waves not only cause power outages but also result in severe heating shortages in affected areas, endangering residents' lives and property. Therefore, for remote areas, it is crucial not only to improve the reliability and resilience of the distribution network but also to enhance the capacity to guarantee heating for residents. However, upgrading and transforming power and heating systems is costly and not economically viable in remote areas.

[0003] Due to the advantages of hydrogen energy in clean and efficient energy supply and high-density energy storage, the electricity-hydrogen-heat multi-element synergistic system will play an important role in emergency dispatch and resilience enhancement of the power system. For grid "Nk" faults caused by extreme natural disasters, mobile hydrogen microgrids can be dispatched to critical power supply nodes using undamaged routes in the transportation network. Combined with remote control switching devices and intelligent control systems in the power system, the faulty area can be quickly isolated and an islanded microgrid can be created, effectively improving the efficiency and quality of emergency response for power disaster relief and accelerating the fault recovery process. Through the combined heat and power (CHP) capability of fuel cells, mobile hydrogen microgrids can provide heat while providing power disaster relief, ensuring the safety of affected residents and reducing losses caused by insufficient heating. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a mobile hydrogen energy microgrid dispatching method and system based on combined heat and power, which can simultaneously provide electricity and heat to disaster-stricken areas after extreme natural disasters, and improve the reliability and resilience of power distribution and heating systems in remote areas without upgrading or transforming the power and heating systems.

[0005] The present invention adopts the following technical solution:

[0006] A mobile hydrogen microgrid scheduling method based on combined heat and power (CHP) is proposed. Based on the route time information of damaged lines and vehicles after a disaster, and with the goal of minimizing economic losses during the recovery process, an optimal scheduling model for the mobile hydrogen microgrid based on CHP is established. The optimal scheduling scheme for maintenance personnel and the mobile hydrogen microgrid is obtained by solving the scheduling model based on CHP.

[0007] Specifically, in step S2, the objective function of the mobile hydrogen microgrid optimization scheduling model based on combined heat and power is as follows:

[0008]

[0009] Where T represents the set of all time periods; N represents the set of nodes in the distribution network; M represents the set of mobile hydrogen microgrids; and H represents the set of nodes in the heating network. This represents the load shedding cost coefficient for node i; C represents the heat load cost factor at node h; tp This represents the transportation cost coefficient of a mobile hydrogen microgrid. The load recovered by node i in time period t; Let be the electrical load demand of node i during time period t; The heat load demand of node h in time period t; It is a 0-1 variable.

[0010] Specifically, in step S2, the operational constraints of the mobile hydrogen microgrid optimization scheduling model based on combined heat and power include:

[0011] Maintenance personnel routing constraints:

[0012] Ensure that maintenance personnel can only stay at one damaged line at a time during any given time period; ensure that only one team of maintenance personnel can stay at a damaged line at any given time during any given time period; ensure that each damaged line is repaired only once; ensure that the movement of maintenance personnel between different lines meets the necessary movement time; and ensure that the time maintenance personnel spend on a damaged line is not less than the repair time for that fault.

[0013] Routing constraints of mobile hydrogen microgrids:

[0014] Each mobile hydrogen microgrid is allowed to connect to at most one emergency power supply station node in each time period; the number of mobile hydrogen microgrids connected to each emergency power supply station in each time period; in each time period, the connection of a mobile hydrogen microgrid to the distribution network and its movement in the road network are mutually exclusive and completely complementary; the movement of a mobile hydrogen microgrid between different nodes satisfies the necessary movement time.

[0015] Power dispatch constraints for mobile hydrogen microgrids:

[0016] The change in hydrogen storage capacity of mobile hydrogen microgrids over time is jointly determined by hydrogen production, power generation, and mobility behavior; upper and lower limits of storage capacity of mobile hydrogen microgrids; upper and lower limits of power in power-to-hydrogen and hydrogen-to-electricity modes; mutual exclusivity of power-to-hydrogen and hydrogen-to-electricity modes in mobile hydrogen microgrids.

[0017] Branch state constraints:

[0018] Undamaged circuits without remote control switches remain closed; together, damaged circuits remain open until repaired, and are then connected.

[0019] Distribution network reconfiguration constraints:

[0020] Ensure the first condition is met; ensure the virtual load and virtual flow of the virtual source node are balanced; ensure that the virtual power flow is 0 in the disconnected line;

[0021] Node output power constraints:

[0022] The active and reactive power outputs at the emergency power supply station node are equal to the sum of the active and reactive power outputs of the mobile hydrogen energy microgrid at that node; if it is not an emergency power supply station or substation node, then the active and reactive power outputs of the corresponding node are both 0.

[0023] Power balance constraints:

[0024] Active and reactive power balance constraints at each node; non-decreasing load recovery rate; fixed power factor; upper limit of complex power in the line, and ensure that active and reactive power are both 0 in the disconnected line;

[0025] Current constraints:

[0026] The power flow equations based on the DistFlow model use a sufficiently large positive relaxation constraint for unconnected lines; node voltage safety constraints are also applied.

[0027] Thermal system operating constraints:

[0028] Power balance constraints at heat load nodes; power balance constraints at heat source nodes; hot water from different pipes flows into the same node and undergoes temperature mixing, and the hot water flowing out of the corresponding node after mixing has the same temperature; there is no energy consumption during the transmission of hot water, and the temperature at the pipe outlet is the same as the temperature at the pipe inlet; safety constraints on pipe operating temperature.

[0029] Coupling constraints:

[0030] There is a coupling relationship between the maximum thermal power and the discharge power of mobile hydrogen microgrids; when the heating supply exceeds the heat load demand, excess heat can be discarded.

[0031] Linearization constraints:

[0032] The active and reactive power outputs at the emergency power supply station node are equal to the sum of the active and reactive power outputs of the mobile hydrogen energy microgrid at that node. Linearization is achieved by replacing the product of the two variables with a new variable.

[0033] Furthermore, the routing constraints for maintenance personnel are as follows:

[0034]

[0035]

[0036]

[0037]

[0038]

[0039]

[0040]

[0041] Where K represents the set of lines damaged after the disaster; R represents the set of maintenance personnel; T represents the number of time periods within a scheduling cycle; and T is the set of time periods within a scheduling cycle. tr is a 0-1 variable; r,kl This represents the routing time for maintenance personnel r between lines k and l.

[0042] Furthermore, routing constraints for mobile hydrogen microgrids:

[0043]

[0044]

[0045]

[0046]

[0047] Where, N m M represents the set of nodes that a mobile hydrogen microgrid m can connect to; i This represents the set of mobile hydrogen microgrids that node i can connect to; 0-1 variables; tr is a 0-1 variable; m,ij This represents the routing time of the mobile hydrogen microgrid m between nodes i and j;

[0048] Mobile hydrogen microgrid power dispatch constraints and operational constraints:

[0049]

[0050]

[0051]

[0052]

[0053]

[0054]

[0055]

[0056]

[0057] in, This represents the mass rate at which a mobile hydrogen microgrid m produces / consumes hydrogen over time period t. The mobile hydrogen microgrid m absorbs power from the grid for hydrogen production during time period t; η represents the power emitted by the mobile hydrogen microgrid m during time period t; P2H Indicates the electro-hydrogen conversion efficiency during the operation of the electrolyzer; η H2P Indicates the hydrogen-to-electricity conversion efficiency during fuel cell operation; η represents the calorific value of hydrogen; LOH m,t This represents the hydrogen storage capacity of a mobile hydrogen microgrid m during time period t; m tp The value represents the hydrogen consumption rate during the movement of the mobile hydrogen energy microgrid; Δt represents a time period. Indicates the lower / upper limit of hydrogen storage capacity for a mobile hydrogen microgrid m; This indicates the upper limit of the hydrogen production capacity per m of the mobile hydrogen microgrid; This indicates the upper limit of the power output of the mobile hydrogen microgrid m; For 0-1 variables; gq m,t This represents the reactive power generated by the mobile hydrogen microgrid m during time period t; This represents the maximum reactive power that the mobile hydrogen microgrid m can generate.

[0058] Furthermore, branch state constraints:

[0059]

[0060]

[0061] Where L is the set of power system lines; λ ij,t For 0-1 variables; L off This represents the set of lines damaged after a disaster; L RCS This refers to a collection of circuits with remote control switches installed.

[0062] Distribution network reconfiguration constraints:

[0063]

[0064]

[0065]

[0066]

[0067] in, f represents the number of isolated islands in time period t. ij,t This represents the virtual power flow on line (i,j) during time period t. i,t G represents the virtual load at node i during time period t. i,t K1 represents the virtual supply of source node i during time period t, where K1 represents a sufficiently large positive number.

[0068] Node output power constraints

[0069]

[0070]

[0071]

[0072]

[0073]

[0074] Where, N sub P represents the set of substation nodes; i,t / Q i,t P represents the active / reactive power output of node i during time period t; sub / Q sub This indicates the active / reactive power capacity of the substation.

[0075] Furthermore, power balance constraints:

[0076]

[0077]

[0078]

[0079]

[0080]

[0081]

[0082] Among them, P ij,t / Q ij,t Let (i,j) be the active / reactive power flow of line (i,j) in time period t; Let i be the active / reactive power demand of node i in time period t; Let represent the active / reactive load restored by node i during time period t; This represents the upper limit of the complex power of line (i,j).

[0083] Furthermore, current constraints:

[0084]

[0085]

[0086]

[0087] Among them, v i,t Ki represents the square of the voltage magnitude at node i in time interval t; K2 represents a sufficiently large positive number; Vi i min / V i max Indicates the lower / upper limit of the voltage magnitude at node i; r ij / x ij Represents the resistance / reactance of line (i,j);

[0088] Thermal system operating constraints:

[0089]

[0090]

[0091]

[0092]

[0093]

[0094]

[0095]

[0096]

[0097]

[0098]

[0099]

[0100] Among them, H s H represents the set of heat source nodes; l Indicates the combination of heat load nodes; H h,t This represents the calculated load of heat exchange station h during time period t; c w q is the specific heat capacity of water; h Let be the mass flow rate of the hot water flowing through node h; Let h be the water supply temperature at node h during time period t; M represents the return water temperature at node h during time period t.h This represents the set of mobile hydrogen microgrids connected to node h of the thermal system; This represents the heat load demand of node h during time period t; This represents the heat load removed from node h during time period t; This represents the heat power absorbed by node h from the upper-level heating network during time period t; This represents the thermal power output of the mobile hydrogen microgrid m at node h during time period t; and These are the sets of pipeline nodes that are connected to node h and end or start at node h, respectively. Indicates the supply and return water temperatures of node h; Let be the hot water temperature at the inlet and outlet of the water supply pipe (h,n) during the time period t; Let be the hot water temperature at the inlet and outlet of the return water pipe (h,n) during the time period t; and These are the upper and lower limits of the supply / return water temperature, respectively.

[0101] Furthermore, coupling constraints:

[0102]

[0103]

[0104] Among them, H m This represents the set of heat network nodes that the mobile hydrogen microgrid m can connect to; This represents the thermal power generated at node h by the mobile hydrogen microgrid m during time period t; η represents the maximum thermal power that the mobile hydrogen microgrid m can output at node h during time period t; ht Indicates the thermal efficiency of the mobile hydrogen microgrid;

[0105] Linearization constraints:

[0106]

[0107]

[0108] in, This indicates that during time period t, the mobile hydrogen microgrid m absorbs power for hydrogen production at node i.

[0109] Secondly, embodiments of the present invention provide a mobile hydrogen microgrid dispatching system based on combined heat and power, comprising:

[0110] The target module, based on the time information of damaged lines and vehicles after a disaster, aims to minimize economic losses during the recovery process and establishes an optimized scheduling model for mobile hydrogen microgrids based on combined heat and power.

[0111] The scheduling module solves the scheduling model of the mobile hydrogen energy microgrid based on cogeneration established in the objective module, and obtains the optimal scheduling scheme for maintenance personnel and the mobile hydrogen energy microgrid.

[0112] Compared with the prior art, the present invention has at least the following beneficial effects:

[0113] This invention presents a mobile hydrogen microgrid scheduling method based on combined heat and power (CHP). It proposes a mobile hydrogen microgrid scheduling model aimed at minimizing economic losses during disaster recovery. In this model, the coordinated scheduling of maintenance personnel and the mobile hydrogen microgrid can more rationally allocate available resources, optimize recovery strategies, and reduce the scale and duration of power outages. The proposed coordinated scheduling model can flexibly adapt to different fault scenarios, effectively improving the power supply reliability and resilience of distribution networks in remote areas, demonstrating strong practicality. Furthermore, the mobile hydrogen microgrid can provide energy supplementation to the heating network while supplying power, thus ensuring, to a certain extent, the heat supply for residents in remote areas during severe cold disasters.

[0114] Furthermore, with the objective function being the minimum sum of the cost of power outage, the energy consumption of mobile hydrogen microgrid, and the cost of heat load shedding, the first term can minimize the economic losses caused by power outages, the second term can avoid unnecessary movement of mobile hydrogen microgrids, and the third term can reduce the economic losses caused by insufficient heating, thereby minimizing the total cost of the recovery process.

[0115] Furthermore, setting operational constraints can provide operational boundaries for power and heating systems, ensuring the safety of their operation and the feasibility of dispatching schemes during the recovery process.

[0116] Furthermore, setting routing constraints for maintenance personnel can ensure the feasibility of the personnel scheduling plan and avoid duplicate maintenance.

[0117] Furthermore, the routing constraints of the mobile hydrogen microgrid, based on the basic rules of vehicle routing and microgrid connection, can ensure the feasibility of the mobile hydrogen microgrid routing scheme; the power dispatch constraints of the mobile hydrogen microgrid can provide the operational boundary for the mobile hydrogen microgrid.

[0118] Furthermore, the branch state constraint setting can ensure that the branch state satisfies causality during the maintenance process; in addition, the branch state is also the link between the mobile hydrogen microgrid and the maintenance personnel; the distribution network reconfiguration constraint setting can ensure that the distribution network is still a radial structure after the topology of the distribution network is reconfigured, avoiding the formation of a loop network; the node power output constraint setting can couple the mobile hydrogen microgrid and the distribution network together.

[0119] Furthermore, the setting of power balance constraints can ensure that the system power is balanced in real time, and that the load recovery rate is monotonically increasing during the fault recovery process.

[0120] Furthermore, setting power flow constraints can ensure the safety of power system operation; setting thermal system operation constraints can ensure the safety of thermal system operation.

[0121] Furthermore, the coupling constraints ensure the coupling between the power system and the thermal system, thereby enabling combined heat and power (CHP). The linearization constraints can linearize the bilinear terms, thus reducing the complexity of the problem and accelerating the solution process.

[0122] It is understandable that the beneficial effects of the second aspect mentioned above can be found in the relevant descriptions in the first aspect mentioned above, and will not be repeated here.

[0123] In summary, this invention proposes a mobile hydrogen microgrid scheduling method based on combined heat and power (CHP) to address scenarios where both electricity and heat supply are insufficient under extreme natural disasters. This method coordinates the scheduling of maintenance personnel and mobile hydrogen microgrids, improving the resilience of power distribution networks in remote areas while providing some energy supplementation to the heating network.

[0124] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0125] Figure 1 This is a schematic diagram of a mobile hydrogen energy microgrid structure.

[0126] Figure 2 A schematic diagram of the scheduling method for mobile hydrogen microgrids based on combined heat and power in a multi-fault grid scenario;

[0127] Figure 3 This is a schematic diagram of a 13-node thermodynamic system.

[0128] Figure 4 Load recovery rate curves under different conditions;

[0129] Figure 5 The heat load supply curves are shown under different conditions. Detailed Implementation

[0130] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0131] In the description of this invention, it should be understood that the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0132] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0133] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes such combinations. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Additionally, the character " / " in this document generally indicates that the preceding and following objects have an "or" relationship.

[0134] It should be understood that although terms such as first, second, third, etc., may be used in the embodiments of the present invention to describe the preset range, these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from one another. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0135] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0136] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0137] This invention provides a mobile hydrogen microgrid scheduling method based on combined heat and power (CHP). The mobile hydrogen microgrid scheduling model aims to minimize the sum of power and heat load losses during a power outage. Compared to a given routing scheme for maintenance personnel, the coordinated scheduling of maintenance personnel and the mobile hydrogen microgrid in the mobile hydrogen microgrid scheduling model can further optimize the recovery strategy and reduce the scale and duration of power outages. Furthermore, the mobile hydrogen microgrid can simultaneously provide energy supplementation to the heating network, ensuring heat supply for residents in remote areas during severe cold weather.

[0138] Please see Figure 1 This invention is based on a mobile hydrogen energy microgrid, which is a mobile distributed energy system with independent energy supply capabilities formed by the on-vehicle integration of distributed hydrogen production (e.g., small-scale water electrolysis devices), hydrogen storage and energy storage (e.g., hydrogen storage tanks), portable hydrogen fuel cells, and waste heat recovery devices. The electrolyzer is connected to the power distribution network bus via power electronic devices; the hydrogen output port of the electrolyzer is connected to the input port of the hydrogen storage tank; the output port of the hydrogen storage tank is connected to the hydrogen input port of the fuel cell; the power output port of the fuel cell is connected to the power distribution network bus; the heat generated during fuel cell power generation can be collected by the waste heat recovery device and then supplied to the regional heating network via a heat exchanger.

[0139] The specific operational characteristics of the mobile hydrogen microgrid are as follows:

[0140] When the system is in normal operation, the mobile hydrogen microgrid can dock at some distribution network nodes equipped with power electronic interfaces, produce hydrogen by purchasing electricity or using distributed new energy power generation, and store it. When a system failure occurs, the mobile hydrogen microgrid will leave the docking point, use a small portion of the hydrogen storage to drive the power system of the container vehicle, and the remaining hydrogen storage will be used for combined heat and power through on-board fuel cells.

[0141] Please see Figure 2 This invention discloses a mobile hydrogen microgrid scheduling method based on combined heat and power (CHP). It simultaneously considers residents' electricity and heat demands, coordinating the scheduling of maintenance personnel and the mobile hydrogen microgrid to optimize recovery strategies, thereby reducing the duration and scale of power outages and minimizing economic losses caused by insufficient power and heat supply during recovery. Specifically, it includes the following steps:

[0142] S1. Obtain information such as the route time of damaged lines and vehicles after the disaster.

[0143] S2. Based on the information from step S1, and with the goal of minimizing economic losses during the recovery process, an optimized scheduling model for a mobile hydrogen microgrid based on combined heat and power is established; specifically as follows:

[0144] 1) Objective function

[0145] The objective of the mobile hydrogen microgrid dispatching method considering maintenance flow under multi-fault grid scenarios is to minimize the economic losses during power outage recovery. The objective function is expressed as follows:

[0146]

[0147] Where T represents the set of all time periods; N represents the set of nodes in the distribution network; M represents the set of mobile hydrogen microgrids; and H represents the set of nodes in the heating network. This represents the load shedding cost coefficient for node i; C represents the heat load cost factor at node h; tp This represents the transportation cost coefficient of a mobile hydrogen microgrid. The load recovered by node i in time period t; Let be the electrical load demand of node i during time period t; The heat load demand of node h in time period t; The variable is 0-1, indicating whether the mobile hydrogen microgrid m is moving during the time period t.

[0148] The objective function is to minimize the sum of the power load shedding cost, the mobile hydrogen microgrid transportation cost, and the heat load shedding cost during the recovery process.

[0149] 2) Operational constraints

[0150] Optimized scheduling of mobile hydrogen microgrids for high-reliability power supply in remote areas needs to meet a series of operational constraints:

[0151] (1) Routing constraints for maintenance personnel

[0152]

[0153]

[0154]

[0155]

[0156]

[0157]

[0158]

[0159] Where K represents the set of lines damaged after the disaster; R represents the set of maintenance personnel; and T represents the number of time periods within a dispatch cycle. This is a 0-1 variable, representing whether maintenance personnel r left / remained on the damaged line k during time period t; if yes, it is 1, otherwise it is 0; tr r,klThis represents the routing time for maintenance personnel r between lines k and l.

[0160] Formula (2) ensures that during each time period, maintenance personnel can only stay at one of the damaged lines at most;

[0161] Equation (3) ensures that for a damaged line, at most one team of maintenance personnel can remain at any given time.

[0162] Equation (4) ensures that each damaged line will only be repaired once; due to the dependency between the maintenance personnel's route and other decisions and constraints, only Equation (5) is needed to ensure that the movement of maintenance personnel between different lines meets the necessary movement time, while constraints such as path-flow balance are implicitly satisfied here. Let's illustrate Equation (5) with an example: If maintenance personnel 1 needs two time periods to move between line 1 and line 2, if... That is, if maintenance personnel 1 connects to line 1 during time period t, then... (Due to the necessary travel time from line 1 to line 2, it cannot be connected to node 2 in the next two time periods), and vice versa.

[0163] Equation (6) means that the time that maintenance personnel spend on the damaged line shall not be less than the time required to repair the fault.

[0164] Equations (7) and (8) ensure the causal relationship between the maintenance personnel's departure and stay status; firstly, maintenance personnel can only choose to leave in the next time period if they have stayed on a certain line; secondly, if maintenance personnel have not stayed on a certain line, they cannot leave from that line.

[0165] (2) Routing constraints of mobile hydrogen microgrid

[0166]

[0167]

[0168]

[0169] Where, N m M represents the set of nodes that a mobile hydrogen microgrid m can connect to. i This represents the set of mobile hydrogen microgrids that node i can connect to; The variable is 0-1, indicating whether the mobile hydrogen microgrid m is connected to node i during time period t. If it is, the value is 1.

[0170] Equation (9) allows each mobile hydrogen microgrid to connect to at most one emergency power station node in each time period.

[0171] Equation (10) limits the number of mobile hydrogen microgrids connected to each emergency power station in each time period.

[0172] Equation (11) indicates that at any given time period, the connection of the mobile hydrogen microgrid to the distribution network and its movement within the road network are mutually exclusive and completely complementary.

[0173]

[0174] Among them, tr m,ij This represents the routing time of the mobile hydrogen microgrid m between nodes i and j.

[0175] Equation (12) ensures that the movement of the mobile hydrogen energy microgrid between different nodes meets the necessary movement time, and the principle is similar to that of (5).

[0176] (3) Power dispatch constraints of mobile hydrogen microgrid

[0177] Mobile hydrogen microgrids operate in two modes: power to hydrogen (P2H) and hydrogen to power (H2P). Operational constraints are as follows:

[0178]

[0179]

[0180]

[0181]

[0182]

[0183]

[0184]

[0185]

[0186] in, This represents the mass rate at which a mobile hydrogen microgrid m produces / consumes hydrogen over time period t. The mobile hydrogen microgrid m absorbs power from the grid for hydrogen production during time period t; Represents the power emitted by the mobile hydrogen microgrid m during time period t; represents η. P2H Indicates the electro-hydrogen conversion efficiency during the operation of the electrolyzer; η H2P Indicates the hydrogen-to-electricity conversion efficiency during fuel cell operation; η represents the calorific value of hydrogen; LOH m,t This represents the hydrogen storage capacity of a mobile hydrogen microgrid m during time period t; m tpThe value represents the hydrogen consumption rate during the movement of the mobile hydrogen energy microgrid; Δt represents a time period. Indicates the lower / upper limit of hydrogen storage capacity for a mobile hydrogen microgrid m; This indicates the upper limit of the hydrogen production capacity per m of the mobile hydrogen microgrid; This indicates the upper limit of the power output of the mobile hydrogen microgrid m; The variable is 0-1, indicating whether the mobile hydrogen microgrid m is absorbing / emitting power during time period t, where 1 represents yes and 0 represents no; gq m,t This represents the reactive power generated by the mobile hydrogen microgrid m during time period t; This represents the maximum reactive power that the mobile hydrogen microgrid m can generate.

[0187] Equation (15) means that the change in hydrogen storage capacity of a mobile hydrogen microgrid over time is determined by hydrogen production, power generation, and mobility.

[0188] Equation (16) is the upper and lower limit constraint of the storage capacity of mobile hydrogen microgrids.

[0189] Equations (17) and (16) are the upper and lower limits of power for the P2H and H2P modes.

[0190] Equation (18) indicates that the P2H mode and H2P mode of the mobile hydrogen energy microgrid are mutually exclusive. That is, if the electrolyzer of the mobile hydrogen energy microgrid is in operation, the fuel cell must be in shutdown, and vice versa.

[0191] (4) Branch state constraints

[0192]

[0193]

[0194] Where L is the set of power system lines; λ ij,t The variable is 0-1, representing whether the line (i,j) is closed within the time period t; L off This represents the collection of lines damaged after a disaster; it is worth noting that L... off Both L and K represent the set of damaged lines, the only difference being that L... off The elements in L are edges, while the elements in K are vertices; RCS This refers to a collection of circuits that have been equipped with remote control switches.

[0195] Equation (21) indicates that the circuit without remote control switch and without damage remains closed.

[0196] Equation (22) together ensures that the damaged line remains disconnected until it is repaired, and is connected after it is repaired.

[0197] (5) Distribution network reconfiguration constraints

[0198]

[0199]

[0200]

[0201]

[0202] in, f represents the number of isolated islands in time period t; ij,t This represents the virtual power flow on line (i,j) during time period t; l i,t This represents the virtual load at node i during time period t; g i,t K1 represents the virtual supply of source node i during time period t; K1 represents a sufficiently large positive number. To ensure the radial structure of the distribution network, two conditions must be met: 1) In each island, the number of closed lines is equal to the number of nodes in the island minus 1; 2) In each island, all load nodes are connected to the source nodes in the island.

[0203] Equation (23) guarantees that the first condition is met. In each island, one node is selected as the virtual source node, and the remaining nodes are virtual load nodes. The virtual source node and the load node are the source node and the destination node of the virtual power flow, respectively. For all virtual load nodes, their virtual load is set to 1.

[0204] Equations (24) and (25) satisfy the second condition, and they respectively guarantee the virtual load and the virtual traffic balance of the virtual source node.

[0205] Equation (26) guarantees that the virtual power flow is 0 in the disconnected line. Let K1 = NN sub It's big enough already.

[0206] (6) Node output power constraint

[0207]

[0208]

[0209]

[0210]

[0211]

[0212] Where, N sub P represents the set of substation nodes; i,t / Q i,tP represents the active / reactive power output of node i during time period t; sub / Q sub This indicates the active / reactive power capacity of the substation.

[0213] Equations (27) and (28) show that the active power and reactive power output at the emergency power supply station node are equal to the sum of the active power and reactive power output of the mobile hydrogen microgrid at that node.

[0214] Equation (29) means that if it is not an emergency power supply station or a substation node, then the active and reactive power output of the node are both 0.

[0215] (7) Power balance constraint

[0216]

[0217]

[0218]

[0219]

[0220]

[0221]

[0222] Among them, P ij,t / Q ij,t Let (i,j) be the active / reactive power flow of line (i,j) in time period t; Let i be the active / reactive power demand of node i in time period t; Let represent the active / reactive load restored by node i during time period t; This represents the upper limit of the complex power of line (i,j).

[0223] Equations (32) and (33) are the active and reactive power balance constraints for each node.

[0224] Constraint (34) specifies the upper limit of the recovery load.

[0225] Equation (35) means that the load recovery rate is non-reducing.

[0226] Equation (36) shows that the power factor is fixed.

[0227] Equation (37) constrains the upper limit of complex power in the line and ensures that the active and reactive power of the disconnected line is 0.

[0228] (8) Current constraints

[0229]

[0230]

[0231]

[0232] Among them, v i,t Ki represents the square of the voltage magnitude at node i during time interval t; K2 represents a sufficiently large positive number; Vi i min / V i max Indicates the lower / upper limit of the voltage magnitude at node i; r ij / x ij This represents the resistance / reactance of line (i,j).

[0233] Equations (38) and (39) represent the power flow equations based on the DistFlow model, where much smaller quadratic terms are omitted and a sufficiently large positive number is used to relax these constraints for unconnected lines.

[0234] Equation (40) is the node voltage safety constraint.

[0235] (9) Operating constraints of thermal systems

[0236] The regulation methods for heating networks include quantitative regulation and qualitative regulation. Quantitative regulation adjusts the flow rate of hot water, while qualitative regulation only adjusts the temperature of the hot water without changing the flow rate. Considering the actual regulation methods of heating networks and the ease of calculation, this invention adopts qualitative regulation. In reality, heat loss and transmission delay occur during the flow of hot water in pipes. For ease of calculation, this invention ignores the energy loss and time delay during the heat transfer process in the thermal system. For heat exchange stations in the primary heating network, the concept of calculated load in power system analysis can be used as a model, binding the load and losses together to become the calculated load of the heat exchange station, which replaces the user load and the heat loss between the heat exchanger and the secondary heating network in the model.

[0237]

[0238] Among them, H s H represents the set of heat source nodes; l Indicates the combination of heat load nodes; H h,t This represents the calculated load of heat exchange station h during time period t; c w q is the specific heat capacity of water; h Let be the mass flow rate of the hot water flowing through node h; Let h be the water supply temperature at node h during time period t; Let h be the return water temperature at node h during time period t.

[0239]

[0240]

[0241] Among them, M h This represents the set of mobile hydrogen microgrids connected to node h of the thermal system; This represents the heat load demand of node h during time period t; This represents the heat load removed from node h during time period t; This represents the heat power absorbed by node h from the upper-level heating network during time period t; This represents the thermal power output of the mobile hydrogen microgrid m at node h during time period t.

[0242] Equation (42) is the power balance constraint for the heat load node.

[0243] Equation (43) is the power balance constraint of the heat source node.

[0244]

[0245]

[0246]

[0247]

[0248]

[0249]

[0250] in, and These are the sets of pipeline nodes that are connected to node h and end or start at node h, respectively. Indicates the supply and return water temperatures of node h; Let be the hot water temperature at the inlet and outlet of the water supply pipe (h,n) during the time period t; Let be the hot water temperature at the inlet and outlet of the return water pipe (h,n) during the time period t.

[0251] Equations (44) and (47) mean that hot water from different pipes flows into the same node and is mixed at the same temperature. After mixing, the hot water flowing out of the node has the same temperature.

[0252] Equations (46) and (49) indicate that there is no energy consumption during the transmission of hot water, and the temperature at the outlet of the pipe is the same as the temperature at the inlet.

[0253]

[0254]

[0255] in, and These are the upper and lower limits of the supply / return water temperature, respectively.

[0256] Equations (50) and (51) are safety constraints for pipeline operating temperature.

[0257] (10) Coupling constraints

[0258]

[0259]

[0260] Among them, H m This represents the set of heat network nodes that the mobile hydrogen microgrid m can connect to; This represents the thermal power generated at node h by the mobile hydrogen microgrid m during time period t; η represents the maximum thermal power that the mobile hydrogen microgrid m can output at node h during time period t; ht This indicates the thermal efficiency of the mobile hydrogen microgrid, which is the conversion efficiency between hydrogen energy and thermal energy.

[0261] Constraint (52) indicates that there is a coupling relationship between the maximum thermal power and the discharge power of the mobile hydrogen microgrid.

[0262] The meaning of constraint (53) is that when the heating supply exceeds the heat load demand, the excess heat is allowed to be discarded.

[0263] (11) Linearization constraints

[0264] Equations (27) and (28) contain bilinear terms, which are the product of a 0-1 variable and a continuous variable. These nonlinear terms can be linearized by replacing the product of the two variables with a new variable. Taking equation (27) as an example, the linearization method is as follows:

[0265]

[0266]

[0267] in, represent This indicates that during time period t, the mobile hydrogen microgrid m absorbs power for hydrogen production at node i.

[0268] The routing and scheduling problem of mobile hydrogen microgrids was originally a difficult nonlinear programming problem to solve. After linearization, it became a mixed-integer second-order cone programming (MISOCP) problem. If the constraint (37) is also linearized, then the original optimization problem becomes a mixed-integer linear programming (MILP) problem. Both MISOCP and MILP problems can be solved efficiently by many readily available solvers, such as Gurobi.

[0269] S3. Solve the scheduling model of mobile hydrogen energy microgrid based on cogeneration in the multi-fault scenario of the power grid in step S2, and obtain the optimal scheduling scheme for maintenance personnel and mobile hydrogen energy microgrid.

[0270] In another embodiment of the present invention, a mobile hydrogen microgrid scheduling system based on cogeneration is provided. This system can be used to implement the above-mentioned mobile hydrogen microgrid scheduling method based on cogeneration. Specifically, the mobile hydrogen microgrid scheduling system based on cogeneration includes modules, modules, modules, modules, and modules.

[0271] The information module obtains information on the route time of damaged lines and vehicles after a disaster.

[0272] The target module, based on the route time information of damaged lines and vehicles obtained from the information module after the disaster, establishes an optimized scheduling model for mobile hydrogen microgrids based on combined heat and power, with the goal of minimizing economic losses during the recovery process.

[0273] The scheduling module solves the scheduling model of the mobile hydrogen energy microgrid based on cogeneration established in the objective module, and obtains the optimal scheduling scheme for maintenance personnel and the mobile hydrogen energy microgrid.

[0274] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0275] Taking the IEEE 33-node power distribution system as an example, five lines are equipped with remote control switches: 8-21, 9-15, 12-22, 18-33, and 25-29. Three mobile hydrogen microgrids and five emergency power supply stations are set up at nodes 7, 14, 21, 29, and 33, respectively, and coupled to nodes 2, 3, 6, 9, and 12 of the thermal system. The structure of the thermal system is as follows... Figure 3 As shown in Table 1, the technical parameters of the mobile hydrogen microgrid are as follows.

[0276] Table 1 Technical parameters of the mobile hydrogen energy microgrid

[0277]

[0278] A random number between 0 and 10 is generated as the load shedding cost coefficient for each node. The higher the load shedding cost coefficient, the more important the load. Assume a natural disaster has occurred in a remote area, damaging lines 1-2, 8-9, 9-10, 16-17, 19-20, 24-25, 28-29, and 30-31. Set the recovery period T = 24 hours and Δt = 1 hour.

[0279] Table 2. Location of the mobile hydrogen microgrid at each time period during the recovery process.

[0280]

[0281] Table 3(a) Maintenance sequence and time for maintenance personnel 1

[0282]

[0283] Table 3(b) Maintenance sequence and time for maintenance personnel 2

[0284]

[0285] By solving models (1)-(55), the optimized scheduling results of the mobile hydrogen microgrid considering maintenance flow in this embodiment are shown in Table 2, and the optimized scheduling results of maintenance personnel are shown in Table 3. The power load recovery rate for each time period under different conditions is shown in Table 3. Figure 4 As shown, the heat load supply situation for each time period under different conditions is as follows: Figure 5 As shown. Figure 4 and Figure 5 As shown, in the case of mobile hydrogen microgrid combined heat and power, although some of the resilience of the power system is lost compared to providing only electricity, the resilience of the thermal system under natural disasters is greatly improved, and the overall economic loss is smaller.

[0286] In summary, the mobile hydrogen microgrid scheduling method and system based on combined heat and power (CHP) of this invention can effectively improve the power supply reliability and resilience of power distribution networks in remote areas, as well as the heating reliability of heating networks. To this end, this invention proposes a mobile hydrogen microgrid scheduling model with the objective of minimizing the sum of power load shedding, mobile hydrogen microgrid transportation costs, and heat load shedding losses during power outages. While improving the resilience of power distribution networks, the mobile hydrogen microgrid can also provide energy supplementation to heating networks, ensuring the heat supply for residents in remote areas during severe cold disasters.

[0287] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0288] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0289] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0290] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0291] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A method for scheduling a mobile hydrogen microgrid based on cogeneration, characterized in that, Based on the route time information of damaged lines and vehicles after a disaster, and with the goal of minimizing economic losses during the recovery process, an optimized scheduling model for mobile hydrogen microgrids based on combined heat and power is established. The objective function of the mobile hydrogen microgrid optimization scheduling model based on combined heat and power is as follows: in, It represents the set of all time periods within a scheduling cycle; A set of nodes representing a power distribution network; A collection representing mobile hydrogen microgrids; The set of nodes representing the heating network; Represents a node i The cost coefficient of the power offload; Represents a node h The heat load cost factor; This represents the transportation cost coefficient of a mobile hydrogen microgrid. For nodes i In time period t The load has been restored; For nodes i In time period t The electricity load demand; For nodes h In time period t Heat load requirements; The variable is 0-1, representing a mobile hydrogen microgrid. m In time period t Is it moving? The operational constraints of the mobile hydrogen microgrid optimization scheduling model based on combined heat and power include: The routing constraints for maintenance personnel are: in, This represents the collection of lines damaged after a disaster. Indicates a gathering of maintenance personnel; This indicates the number of time periods within a scheduling cycle; / A variable consisting of 0 and 1, representing maintenance personnel. r In time period t Did you leave / stay on the damaged line? k If yes, then it is 1; otherwise, it is 0. Indicates maintenance personnel r Damaged circuit k and l Routing time between; Routing constraints of mobile hydrogen microgrids: in, Indicating mobile hydrogen microgrid m The set of nodes that can be connected; Represents a node i A collection of mobile hydrogen microgrids that can be connected; The variable is 0-1, representing a mobile hydrogen microgrid. m In time period t Is it connected to the node? i If so, then the value is 1; Indicating mobile hydrogen microgrid m At the node i and j Routing time between; Mobile hydrogen microgrid power dispatch constraints and operational constraints: in, / Indicating mobile hydrogen microgrid m In time period t The mass rate of hydrogen production / consumption; Mobile hydrogen microgrid m In time period t Power is drawn from the power grid for hydrogen production; Indicating mobile hydrogen microgrid m In time period t The power emitted; This indicates the electro-hydrogen conversion efficiency of the electrolyzer during operation. This indicates the hydrogen-to-electricity conversion efficiency of the fuel cell during operation. This indicates the calorific value of hydrogen. Indicating mobile hydrogen microgrid m In time period t Hydrogen reserves; This indicates the hydrogen consumption rate during the movement of the mobile hydrogen energy microgrid. Indicates a time period; / Indicating mobile hydrogen microgrid m Lower / upper limit of hydrogen reserves; Indicating mobile hydrogen microgrid m Upper limit of hydrogen production capacity; Indicating mobile hydrogen microgrid m The upper limit of the output power; / The variable is 0-1, representing a mobile hydrogen microgrid. m In time period t Whether it is absorbing / emitting power, 1 represents yes, 0 represents no; Indicating mobile hydrogen microgrid m In time period t The reactive power generated; Indicating mobile hydrogen microgrid m The maximum reactive power that can be generated; Branch state constraints: in, A collection of lines in a power system; A variable consisting of 0 and 1, representing a time period. t line( i , j Is it closed? This refers to the collection of lines damaged after a disaster. This refers to a collection of circuits with remote control switches installed. Distribution network reconfiguration constraints: in, Indicates the time period t The number of isolated islands; Indicates the time period t line( i , j Virtual trends on ) Indicates the time period t node i Virtual load; Indicates the time period t Source node i Virtual supply; Represent a positive number; Node output power constraints in, Represents the set of substation nodes; / Represents a node i In time period t Active / reactive power output; / Indicates the active / reactive power capacity of the substation; Power balance constraints: in, / For the line ( i,j During the time period t Active / reactive power flow; / For nodes i In time period t Active / reactive power demand; / For nodes i In time period t The restored active / reactive load; Indicates the line ( i,j The upper limit of complex power; Current constraints: in, Indicates the time period t node i The square of the voltage magnitude; Represents positive numbers; Represents a node i Lower / upper limit of voltage magnitude; Indicates the line ( i,j The resistance / reactance of the resistor; Thermal system operating constraints: in, Represents the set of heat source nodes; Indicates the combination of heat load nodes; Indicates heat exchange station h In time period t The computational load; This is the specific heat capacity of water; For the nodes that flow through h The mass flow rate of the hot water; For nodes h The water supply temperature during time period t; For nodes h In time period t The return water temperature; Representing nodes of a thermal system h A collection of connected mobile hydrogen microgrids; Represents a node h In time period t Heat load requirements; Represents a node h In time period t The heat load that is removed; Represents a node h In time period t Heat power absorbed from the upper-level heating network; Indicates time period t Mobile hydrogen microgrid m At the node h Output thermal power; and They are respectively with nodes h Connected and from node h The set of ending and starting pipeline nodes; Represents a node h The supply and return water temperatures; For the time period t Water supply pipeline ( h,n The hot water temperature at the inlet and outlet; For the time period t Return water pipe ( h,n The hot water temperature at the inlet and outlet; / and / These are the upper and lower limits of the supply / return water temperature, respectively. Coupling constraints: in, Indicating mobile hydrogen microgrid m The set of heat network nodes that can be connected; Indicates the time period t Mobile hydrogen microgrid m At the node h The generated heat power; Indicates the time period t Mobile hydrogen microgrid m At the node h The maximum thermal power that can be output; Indicates the thermal efficiency of the mobile hydrogen energy microgrid; Linearization constraints: wherein, denotes a time period t mobile hydrogen energy microgrid m at a node i absorbing power for hydrogen production; Solve the scheduling model of the mobile hydrogen microgrid based on combined heat and power to obtain the optimal scheduling scheme for maintenance personnel and the mobile hydrogen microgrid.

2. A mobile hydrogen energy microgrid scheduling system based on cogeneration, characterized in that, include: The target module, based on the time information of damaged lines and vehicles after a disaster, aims to minimize economic losses during the recovery process and establishes an optimized scheduling model for mobile hydrogen microgrids based on combined heat and power. The objective function of the mobile hydrogen microgrid optimization scheduling model based on combined heat and power is as follows: in, It represents the set of all time periods within a scheduling cycle; A set of nodes representing a power distribution network; A collection representing mobile hydrogen microgrids; The set of nodes representing the heating network; Represents a node i The cost coefficient for power offload; Represents a node h The heat load cost coefficient; This represents the transportation cost coefficient of a mobile hydrogen microgrid. For nodes i In time period t The load has been restored; For nodes i In time period t The electrical load demand; For nodes h In time period t Heat load requirements; The variable is 0-1, representing a mobile hydrogen microgrid. m In time period t Is it moving? The operational constraints of the mobile hydrogen microgrid optimization scheduling model based on combined heat and power include: The routing constraints for maintenance personnel are: in, This represents the collection of lines damaged after a disaster. Indicates a gathering of maintenance personnel; This indicates the number of time periods within a scheduling cycle; / A variable consisting of 0 and 1, representing maintenance personnel. r In time period t Did you leave / stay on the damaged line? k If yes, then it is 1; otherwise, it is 0. Indicates maintenance personnel r Damaged circuit k and l Routing time between; Routing constraints of mobile hydrogen microgrids: in, Indicating mobile hydrogen microgrid m The set of nodes that can be connected; Represents a node i A collection of mobile hydrogen microgrids that can be connected; The variable is 0-1, representing a mobile hydrogen microgrid. m In time period t Is it connected to the node? i If so, then the value is 1; Indicating mobile hydrogen microgrid m At the node i and j Routing time between; Mobile hydrogen microgrid power dispatch constraints and operational constraints: in, / Indicating mobile hydrogen microgrid m In time period t The mass rate of hydrogen production / consumption; Mobile hydrogen microgrid m In time period t Power is drawn from the power grid for hydrogen production; Indicating mobile hydrogen microgrid m In time period t The power emitted; This indicates the electro-hydrogen conversion efficiency of the electrolyzer during operation. This indicates the hydrogen-to-electricity conversion efficiency of the fuel cell during operation. This indicates the calorific value of hydrogen. Indicating mobile hydrogen microgrid m In time period t Hydrogen reserves; This indicates the hydrogen consumption rate during the movement of the mobile hydrogen energy microgrid. Indicates a time period; / Indicating mobile hydrogen microgrid m Lower / upper limit of hydrogen reserves; Indicating mobile hydrogen microgrid m Upper limit of hydrogen production capacity; Indicating mobile hydrogen microgrid m The upper limit of the output power; / The variable is 0-1, representing a mobile hydrogen microgrid. m In time period t Whether it is absorbing / emitting power, 1 represents yes, 0 represents no; Indicating mobile hydrogen microgrid m In time period t The reactive power generated; Indicating mobile hydrogen microgrid m The maximum reactive power that can be generated; Branch state constraints: in, A collection of lines in a power system; A variable consisting of 0 and 1, representing a time period. t line( i , j Is it closed? This refers to the collection of lines damaged after a disaster. This refers to a collection of circuits with remote control switches installed. Distribution network reconfiguration constraints: in, Indicates the time period t The number of isolated islands; Indicates the time period t line( i , j Virtual trends on ) Indicates the time period t node i Virtual load; Indicates the time period t Source node i Virtual supply; Represent a positive number; Node output power constraints wherein, denotes a set of substation nodes; / denotes a node i active / reactive power output in a time period t ; / denotes an active / reactive power capacity of a substation; Power balance constraints: in, / For the line ( i,j During the time period t Active / reactive power flow; / For nodes i In time period t Active / reactive power demand; / For nodes i In time period t The restored active / reactive load; Indicates the line ( i,j The upper limit of complex power; Current constraints: in, Indicates the time period t node i The square of the voltage magnitude; Represents positive numbers; Represents a node i Lower / upper limit of voltage magnitude; Indicates the line ( i,j The resistance / reactance of the resistor; Thermal system operating constraints: in, Represents the set of heat source nodes; Indicates the combination of heat load nodes; Indicates heat exchange station h In time period t The computational load; This is the specific heat capacity of water; For the nodes that flow through h The mass flow rate of the hot water; For nodes h The water supply temperature during time period t; For nodes h In time period t The return water temperature; Representing nodes of a thermal system h A collection of connected mobile hydrogen microgrids; Represents a node h In time period t Heat load requirements; Represents a node h In time period t The heat load that is removed; Represents a node h In time period t Heat power absorbed from the upper-level heating network; Indicates time period t Mobile hydrogen microgrid m At the node h Output thermal power; and They are respectively with nodes h Connected and from node h The set of ending and starting pipeline nodes; Represents a node h The supply and return water temperatures; For the time period t Water supply pipeline ( h,n The hot water temperature at the inlet and outlet; For the time period t Return water pipe ( h,n The hot water temperature at the inlet and outlet; / and / These are the upper and lower limits of the supply / return water temperature, respectively. Coupling constraints: in, Indicating mobile hydrogen microgrid m The set of heat network nodes that can be connected; Indicates the time period t Mobile hydrogen microgrid m At the node h The generated heat power; Indicates the time period t Mobile hydrogen microgrid m At the node h The maximum thermal power that can be output; Indicates the thermal efficiency of the mobile hydrogen microgrid; Linearization constraints: wherein, denotes a time period t mobile hydrogen energy microgrid m at a node i absorbing power for hydrogen production; The scheduling module solves the scheduling model of the mobile hydrogen energy microgrid based on cogeneration established in the objective module, and obtains the optimal scheduling scheme for maintenance personnel and the mobile hydrogen energy microgrid.

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