Recovery strategy generation method and device suitable for fault repair, terminal equipment and storage medium

Abstract

The invention discloses a recovery strategy generation method and device suitable for fault first-aid repair, terminal equipment and a storage medium, and constructs a first-aid repair scheduling model used for measuring fault first-aid repair efficiency and a communication recovery scheduling model used for measuring communication network recovery speed. Therefore, the first-aid repair capability of the construction team, the power supply capability of the power supply and the recovery demand of the power distribution network path can be comprehensively considered, comprehensive cooperative scheduling of first-aid repair resources such as the construction team and the mobile power supply is realized, and the utilization efficiency of the first-aid repair resources is improved. Fault repair and recovery of the communication network are fully considered, the state of the router can be adjusted in time, and a switch can operate normally, so that the situation that recovery of the power distribution network is limited due to communication problems is avoided; according to the invention, the finally generated target recovery strategy can reduce the load loss of the power distribution network to the greatest extent in the first-aid repair process, so that the power supply can be quickly recovered, and the stable operation of the power system and the normal power supply of the user are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid fault recovery, and in particular to a recovery strategy generation method, device, terminal equipment and storage medium suitable for fault repair. Background Art

[0002] In extreme disasters, the distribution network and the communication network usually fail at the same time, resulting in large-scale power outages. The interruption of the communication network will hinder the timely transmission of distribution network status information, weaken the efficiency of emergency repair resource scheduling, and delay power supply restoration. It is necessary to carry out joint fault repair and restoration of the distribution network and the communication network to quickly restore power supply and communication functions and reduce the load loss of the distribution network.

[0003] Traditional fault repair methods rely on experience and rules, such as arranging construction teams according to the order of fault reporting or allocating mobile power supplies nearby. It is difficult to achieve coordinated resource scheduling, resulting in low efficiency in the use of repair resources. In addition, only focusing on the restoration of the distribution network and ignoring the repair of communication network faults may affect load recovery due to router and switch problems. This not only prolongs the restoration time of the communication network, but also increases the load loss during the repair of the distribution network, making it difficult to quickly restore power supply. Summary of the invention

[0004] The embodiments of the present invention provide a method, apparatus, terminal device and storage medium for generating a recovery strategy suitable for fault repair, which can realize efficient coordinated scheduling of construction teams and mobile power resources and synchronously consider fault repair and recovery of communication networks, thereby effectively reducing the load loss of distribution networks during repairs and accelerating the recovery of power supply.

[0005] An embodiment of the present invention provides a method for generating a recovery strategy suitable for fault repair, comprising:

[0006] Based on the emergency repair data of the construction team, the power supply dispatching data of the power source and the distribution network path recovery data, a repair dispatching model for measuring the efficiency of fault repair is constructed;

[0007] A communication recovery scheduling model for measuring the recovery speed of the communication network is constructed based on the operation status data of the router, the operation status data of the communication link, the operation data of the node, and the operation status data of the switch of the line; wherein the operation data of the node includes: node communication status data, connection data between nodes, node load data, node fault elimination time, and node power supply data;

[0008] According to the emergency repair scheduling model and the communication restoration scheduling model, a target model with the goal of minimizing the load loss of the distribution network is constructed; wherein the constraints corresponding to the target model include: power output constraints, line power transmission constraints, node load recovery constraints, node power balance constraints and node voltage constraints;

[0009] Under the constraint conditions, the target model is solved to generate a target recovery strategy for fault repair when the load loss of the distribution network is minimized;

[0010] The target recovery strategy includes: the scheduling order of the construction team, the power supply order of the mobile power supply, the moving path of the mobile power supply, the recovery path of the distribution network, the adjustment time of the router status and the adjustment time of the switch status.

[0011] Preferably, the emergency repair scheduling model includes: a construction team emergency repair scheduling model, a mobile power scheduling model and a path recovery scheduling model;

[0012] The construction team repair data includes: the time when the construction team goes from the warehouse to the faulty node, the time when the construction team returns from the faulty node to the warehouse, the repair status of the faulty node, and the repair time of the faulty node;

[0013] The power supply scheduling data of the power source includes: the power supply location of the mobile power source, the arrival time of the mobile power source at the fault point, the departure time of the mobile power source from the fault point, the power supply status of the fault point, and the continuous power supply time of the fault point;

[0014] The distribution network path recovery data includes: line data of the distribution network, recovery path data of the distribution network line, line repair status data of the distribution network, and node recovery status data of the distribution network;

[0015] The repair scheduling model for measuring the efficiency of fault repair is constructed based on the repair data of the construction team, the power supply scheduling data of the power source, and the distribution network path recovery data, including:

[0016] According to the time when the construction team goes from the warehouse to the fault node, the time when the construction team returns from the fault node to the warehouse, the repair status of the fault node and the repair time of the fault node, a construction team emergency repair scheduling model for optimizing the emergency repair efficiency of the construction team is constructed;

[0017] A mobile power scheduling model for optimizing the power supply efficiency of the mobile power is constructed according to the power supply position of the mobile power, the arrival time of the mobile power at the fault point, the departure time of the mobile power from the fault point, the power supply state of the fault point, and the continuous power supply time of the fault point;

[0018] According to the line data of the distribution network, the restoration path data of the distribution network lines, the line repair status data of the distribution network and the node restoration status data of the distribution network, a path restoration scheduling model for optimizing the repair efficiency of the lines is constructed.

[0019] Preferably, the communication recovery scheduling model comprises: a communication network recovery scheduling model for optimizing the recovery time of the communication network, and a power supply recovery scheduling model for optimizing the fault removal time of the node;

[0020] The communication recovery scheduling model for measuring the recovery speed of the communication network is constructed according to the operation status data of the router, the operation status data of the communication link, the operation data of the node and the switch operation status data of the line, including:

[0021] Construct a communication network recovery scheduling model based on the operation status data of the router, the operation status data of the communication link, the connection data between nodes, the power supply data of the node, and the communication status data of the node;

[0022] A power supply restoration scheduling model is constructed based on node load data, router operating status data, line switch operating status data, and node fault elimination time.

[0023] Preferably, the operation status data of the router includes: the operation status of the communication router and the number of communication links of the communication router; the operation status of the communication router includes: the communication router is in an available state and the communication router is in an unavailable state;

[0024] The operation status data of the communication link includes: the connection status of the link;

[0025] The connection data between the nodes include: the link status between each power grid node and the control center node and the line repair status corresponding to the line formed by connecting several nodes;

[0026] The node power supply data includes: the power supply status of each grid node;

[0027] The node communication status data includes: the communication status of each power grid node;

[0028] The communication network recovery scheduling model is constructed according to the operation status data of the router, the operation status data of the communication link, the connection data between nodes, the node power supply data and the node communication status data, including:

[0029] According to the operation state of the communication router and the number of communication links of the communication router, generating a first functional formula for characterizing the availability state of the router at each communication link;

[0030] Generate a communication constraint for constraining the communication state between the grid node and the control center node according to the connection state of the link, the link state between each grid node and the control center node, the line repair state, the power supply state of each grid node, and the communication state of each grid node;

[0031] A communication network recovery scheduling model is constructed based on the first functional formula and the communication constraints.

[0032] Preferably, the node load data includes: a first load demand of a power grid node, a second load demand of a power grid node corresponding to each communication device, and a load reduction amount on a bus corresponding to each communication device;

[0033] The operation status data of the router also includes: the power consumption of the communication router; the switch operation status data of the line, including: the closing status of several switches; the node fault elimination time, including: the fault elimination time corresponding to several nodes connected to the remote control system;

[0034] The power supply restoration scheduling model is constructed according to the node load data, the operation status data of the router, the switch operation status data of the line and the node fault elimination time, including:

[0035] Generate a second functional expression for characterizing the available state of the communication router during power supply restoration according to the operating state of the communication router, the first load demand of the grid node, the second load demand of the grid node corresponding to each communication device, and the load reduction amount on the bus corresponding to each communication device;

[0036] generating a third functional formula for representing the closing state of the switch during power supply restoration according to the operation state of the communication router, the closing state of each switch and the fault elimination time corresponding to each node connected to the remote control system;

[0037] According to the second functional formula and the third functional formula, a power supply restoration scheduling model is constructed.

[0038] Preferably, the target model with the goal of minimizing the load loss of the distribution network is constructed according to the emergency repair scheduling model and the communication restoration scheduling model, including:

[0039] According to the construction team emergency repair scheduling model and the load loss of the distribution network, a first correlation function is generated to characterize the correlation relationship between the emergency repair efficiency of the construction team and the load loss;

[0040] Generating a second correlation function for characterizing the correlation relationship between power supply efficiency and load loss according to the mobile power dispatching model and the load loss amount of the distribution network;

[0041] According to the path restoration scheduling model and the load loss amount of the distribution network, a third correlation function is generated to characterize the correlation relationship between the repair efficiency of the line and the load loss;

[0042] Generating a fourth correlation function for characterizing the correlation between the restoration time of the communication network and the load loss according to the communication network restoration scheduling model and the load loss amount of the distribution network;

[0043] According to the power supply restoration scheduling model and the load loss amount of the distribution network, a fifth correlation function is generated for characterizing the correlation relationship between the fault elimination time of the node and the load loss;

[0044] A target model aiming at minimizing the load loss amount in the distribution network is generated according to the first correlation function, the second correlation function, the third correlation function, the fourth correlation function and the fifth correlation function.

[0045] Preferably, the target model comprises:

[0046]

[0047] in, is the load weight coefficient of the i-th grid node, is the load demand of the ith grid node at time t, The load recovery amount of the i-th grid node at time t, The value of is used to represent the load loss of the distribution network; N c is the node set of the power grid nodes corresponding to each communication device, N p is a node set of power grid nodes, and T is a preset time period.

[0048] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0049] An embodiment of the present invention provides a recovery strategy generation device suitable for fault repair, comprising: a repair scheduling model construction module, a communication recovery scheduling model construction module, a target model construction module and a recovery strategy generation module;

[0050] The emergency repair scheduling model building module is used to build an emergency repair scheduling model for measuring the efficiency of fault repair based on the emergency repair data of the construction team, the power supply scheduling data of the power source, and the distribution network path recovery data;

[0051] The communication recovery scheduling model building module is used to build a communication recovery scheduling model for measuring the recovery speed of the communication network according to the operation status data of the router, the operation status data of the communication link, the operation data of the node and the switch operation status data of the line; wherein the operation data of the node includes: node communication status data, connection data between nodes, node load data, node fault elimination time and node power supply data;

[0052] The target model construction module is used to construct a target model with the goal of minimizing the load loss of the distribution network according to the emergency repair scheduling model and the communication recovery scheduling model; wherein the constraints corresponding to the target model include: power output constraints, line power transmission constraints, node load recovery constraints, node power balance constraints and node voltage constraints;

[0053] The restoration strategy generation module is used to solve the target model under the constraint conditions and generate a target restoration strategy for fault repair when the load loss of the distribution network is minimal;

[0054] The target recovery strategy includes: the scheduling order of the construction team, the power supply order of the mobile power supply, the moving path of the mobile power supply, the recovery path of the distribution network, the adjustment time of the router status and the adjustment time of the switch status.

[0055] Based on the above method embodiments, the present invention provides corresponding terminal device embodiments.

[0056] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, a recovery strategy generation method suitable for fault repair described in the above-mentioned embodiment of the invention is implemented.

[0057] Based on the above method embodiments, the present invention provides corresponding storage medium item embodiments.

[0058] Another embodiment of the present invention provides a storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a recovery strategy generation method suitable for fault repair described in the above-mentioned embodiment of the invention.

[0059] The following beneficial effects are achieved by implementing the present invention:

[0060] The embodiment of the present invention provides a recovery strategy generation method, apparatus, terminal device and storage medium suitable for fault repair, constructs a repair scheduling model for measuring the efficiency of fault repair and constructs a communication recovery scheduling model for measuring the recovery speed of the communication network. Based on the above two models, the present invention further constructs a target model with the goal of minimizing the load loss of the distribution network. By solving the target model, the present invention can generate an optimal recovery strategy under the premise of satisfying all constraints, including the scheduling order of the construction team, the power supply order of the mobile power supply, the moving path of the mobile power supply, the recovery path of the distribution network, the adjustment time of the router status and the adjustment time of the switch status, so that the present invention can realize the comprehensive coordinated scheduling of repair resources. Compared with the prior art, the present invention avoids waste and reuse of resources and improves the utilization efficiency of emergency repair resources by comprehensively coordinating the two emergency repair resources of construction teams and mobile power supplies. Moreover, the present invention fully considers the emergency repair and recovery of communication network faults, ensures that the router status can be adjusted in time and the switch can operate normally, thereby avoiding limitations on distribution network recovery due to communication problems. The present invention can generate a target recovery strategy that can minimize the load loss of the distribution network during the emergency repair process, thereby quickly restoring power supply and ensuring the stable operation of the power system and the normal power supply to users. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 The present invention is a flowchart of a method for generating a recovery strategy suitable for emergency repair of a fault, provided in accordance with an embodiment of the present invention.

[0062] Figure 2 It is a schematic diagram of the construction process of the target model provided by an embodiment of the present invention.

[0063] Figure 3 It is a schematic diagram of joint emergency repair of a communication network and a distribution network provided by an embodiment of the present invention.

[0064] Figure 4 It is a schematic diagram of the time steps of repairing a distribution line fault provided by an embodiment of the present invention.

[0065] Figure 5 This is another schematic diagram of the timing of repairing a power distribution line fault provided by an embodiment of the present invention.

[0066] Figure 6 It is a structural schematic diagram of a recovery strategy generating device suitable for fault repair provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0068] like Figure 1 FIG. 1 is a flow chart of a method for generating a recovery strategy applicable to fault repair provided by an embodiment of the present invention. The method for generating a recovery strategy applicable to fault repair comprises:

[0069] Step S1: constructing a repair scheduling model for measuring the efficiency of fault repair based on the repair data of the construction team, the power supply scheduling data of the power source, and the distribution network path recovery data;

[0070] Step S2: constructing a communication recovery scheduling model for measuring the recovery speed of the communication network according to the operation status data of the router, the operation status data of the communication link, the operation data of the node and the operation status data of the switch of the line; wherein the operation data of the node includes: node communication status data, connection data between nodes, node load data, node fault elimination time and node power supply data;

[0071] Step S3: constructing a target model with the goal of minimizing the load loss of the distribution network according to the emergency repair scheduling model and the communication recovery scheduling model; wherein the constraints corresponding to the target model include: power output constraints, line power transmission constraints, node load recovery constraints, node power balance constraints and node voltage constraints;

[0072] Step S4: Under the constraints, the target model is solved to generate a target recovery strategy for fault repair when the load loss of the distribution network is minimized; wherein the target recovery strategy includes: the scheduling order of the construction team, the power supply order of the mobile power supply, the moving path of the mobile power supply, the recovery path of the distribution network, the adjustment time of the router status, and the adjustment time of the switch status.

[0073] For step S1, in a preferred embodiment, the emergency repair scheduling model of the present invention may be composed of three sub-model groups, that is, the emergency repair scheduling model includes: a construction team emergency repair scheduling model, a mobile power scheduling model and a path recovery scheduling model;

[0074] In schematic form, the construction team emergency repair scheduling model can be used to optimize the construction team's emergency repair efficiency, ensuring that they can quickly arrive at the fault site and carry out emergency repairs efficiently, thereby shortening the fault repair time and improving overall efficiency.

[0075] Through the mobile power scheduling model, the power supply efficiency can be optimized to ensure that the mobile power arrives in time and provides power support when a fault occurs, thereby ensuring equipment operation and reducing power interruption losses.

[0076] The path recovery scheduling model can optimize the line repair efficiency and ensure that the distribution network can quickly restore power supply after a fault occurs, thereby improving power supply reliability.

[0077] In a preferred embodiment, the construction team emergency repair data includes: the time when the construction team goes from the warehouse to the fault node, the time when the construction team returns from the fault node to the warehouse, the repair status of the fault node, and the repair time of the fault node; when constructing a construction team emergency repair scheduling model based on the construction team emergency repair data, specifically:

[0078] According to the time when the construction team travels from the warehouse to the fault node, the time when the construction team returns from the fault node to the warehouse, the repair status of the fault node and the repair time of the fault node, a construction team emergency repair scheduling model is constructed to optimize the emergency repair efficiency of the construction team.

[0079] Indicatively, based on the construction team's travel time from the warehouse to the fault node, return time, repair status, and repair time, their work progress and capabilities can be understood. In the optimization process, the emergency degree of the fault, the construction team's skills and expertise, and the current location are combined to reasonably arrange the dispatch sequence, improve the efficiency of emergency repairs, and avoid idle construction teams or unreasonable task allocation. By optimizing the construction team's work process, the travel and waiting time can be reduced, and the speed of repairing fault nodes can be accelerated.

[0080] In a preferred embodiment, the power supply scheduling data of the power source includes: the power supply position of the mobile power source, the arrival time of the mobile power source at the fault point, the departure time of the mobile power source from the fault point, the power supply state of the fault point, and the continuous power supply time of the fault point; when constructing a mobile power supply scheduling model according to the power supply scheduling data of the power source, specifically:

[0081] According to the power supply location of the mobile power supply, the arrival time of the mobile power supply at the fault point, the departure time of the mobile power supply from the fault point, the power supply status of the fault point and the continuous power supply time of the fault point, a mobile power supply scheduling model for optimizing the power supply efficiency of the mobile power supply is constructed.

[0082] In schematic form, based on the power supply location, arrival and departure time, power supply status and duration of the mobile power supply, the mobile power supply scheduling model can accurately grasp its usage and power supply capacity. By analyzing the load demand at the fault point, the remaining power of the mobile power supply and its location, the power supply sequence and mobile path are reasonably arranged to ensure that the mobile power supply arrives at the fault point in time and provides stable power support for critical loads. This optimized scheduling avoids idle resources and improves utilization, while reducing equipment damage and production stagnation caused by power outages, reducing economic losses.

[0083] In a preferred embodiment, the distribution network path restoration data includes line data, restoration path data, line restoration status data and node restoration status data. Based on these data, a path restoration scheduling model is constructed to optimize line restoration efficiency.

[0084] Illustratively, in an embodiment of the present invention, a path recovery scheduling model can be constructed using the line data, recovery path data, line repair status data, and node recovery status data of the distribution network. Based on the topological structure and fault conditions of the distribution network, and according to the importance of the line, the severity of the fault, and the difficulty of repair, the recovery path of the distribution network can be reasonably planned, and key lines can be repaired first to ensure that power can be restored to important nodes and users as soon as possible.

[0085] In a preferred embodiment, in the construction team emergency repair scheduling model, the embodiment of the present invention can clarify the construction team's forward path and return path through a formula, indicating its behavior of repairing from the warehouse to the fault point and returning to the warehouse after the repair is completed, ensuring that the action has a clear starting and ending point, forming a complete closed loop:

[0086]

[0087] in, indicates that the construction team c goes to the distribution network fault point i for emergency repair, D indicates the warehouse node of the construction team, Φ F represents the set of all faulty nodes, It means that construction team c returns to the warehouse after completing the emergency repair of fault point i.

[0088] To ensure task continuity, the construction team emergency repair scheduling model stipulates that the construction team must continue to perform tasks after arriving at the fault point to avoid interruptions or arbitrary changes, and ensure that the emergency repair process proceeds in an orderly manner.

[0089]

[0090] in, represents the movement of the construction team. If the construction team c is moving from the faulty node i to the faulty node j, then otherwise

[0091] The following formula is used to determine whether the construction team repairs the faulty node:

[0092]

[0093] in, Indicates whether the faulty node i is repaired by construction team c.

[0094] According to the formula, each fault node is repaired by only one construction team, and multiple teams cannot repair it at the same time, avoiding resource waste and construction chaos, and improving resource utilization efficiency:

[0095]

[0096] Furthermore, each faulty node cannot be repaired by multiple construction teams at the same time:

[0097]

[0098] in, The binary variable represents the working status of construction team c, and T represents the repair time set.

[0099] Furthermore, the actual repair time of the fault point is combined with the arrival time and repair time of the construction team to ensure that the construction team's time arrangement for repairing the fault point is orderly and logical:

[0100]

[0101] in, represents the time when construction team c arrives at fault point i, represents the time consumed by the construction team to repair fault point i, Φ c It indicates the nodes that all construction teams are repairing. The repair status of the faulty nodes in the distribution network is:

[0102]

[0103] in, Indicates whether fault i has been repaired.

[0104] In schematic form, the dispatch of construction teams directly affects the speed of repair of the distribution network and communication network. The faster the repair, the shorter the load recovery time and the smaller the power outage loss. Optimizing the repair sequence and time of construction teams can indirectly affect the load recovery amount and achieve the goal of minimizing the load loss of the distribution network.

[0105] In a preferred embodiment, in the mobile power scheduling model, around the power scheduling process, starting from the initial position of the mobile power supply, comprehensively considering factors such as its movement between fault points, power supply status and departure time, a complete scheduling model is constructed to ensure efficient power supply of the mobile power supply.

[0106] Then, the power supply scheduling process of each mobile power source starting from the initial position is:

[0107]

[0108] in, represents the mobile power dispatch at fault point i.

[0109] To ensure that the mobile power source must go to other fault points after arriving at the fault point, ensure the continuity of the power supply task, avoid idleness, and improve the use efficiency, there are:

[0110]

[0111] in, It means that the mobile power source moves from fault point j to fault point i. Indicates that the mobile power source moves from fault point i to fault point k, Φ M Represented as the set of all fault points.

[0112] Furthermore, the power supply status of the fault point is:

[0113]

[0114] in, Represents the power supply status of fault point i at time t.

[0115] Furthermore, the exact time when the mobile power source reaches the fault point is determined according to the following formula:

[0116]

[0117] in, represents the time when the mobile power source m arrives at the node i, and t represents the time.

[0118] Furthermore, whether the mobile power source leaves the fault point at a certain moment is determined according to the following formula:

[0119]

[0120] in, Indicates whether the mobile power source m leaves the node i at time t.

[0121] Furthermore, the time when the mobile power source arrives at the fault point and the power supply duration of the fault point can be used to determine the time when the mobile power source leaves:

[0122]

[0123] in, is the duration of node i being connected to mobile power source m. Then the access status of the mobile power source is:

[0124]

[0125] in, Indicates the power supply status of fault point i.

[0126] It is understandable that the rational dispatch of mobile power sources can quickly restore critical loads and reduce load power outage losses.

[0127] In a preferred embodiment, in the path recovery scheduling model, the distribution network recovery path can be taken as the starting point of the networking device, and the recovery path can start from the networking device, then:

[0128]

[0129] in, and It represents the restoration path in the distribution network; GF represents the networking device node.

[0130] Furthermore, the embodiment of the invention stipulates the restoration path flow rules of the distribution network nodes: the node must have a restoration path flowing in before it can have a path flowing out. This is because the node can only transfer power to other nodes after receiving power input, thereby ensuring that the restoration path is coherent and reasonable, and avoiding energy output without source:

[0131]

[0132] According to the following formula, in order to ensure that the distribution network has a radial recovery path, it can be constrained that there is at most one recovery path on the closed line of the distribution network:

[0133]

[0134] in, Represents the switching state of line ij.

[0135] Furthermore, when a line fails, the switch will trip to isolate the fault. Only after the line is repaired can the switch be closed, thereby avoiding the expansion of the fault due to mistaken closing when the fault is not repaired, ensuring the safety of the distribution network restoration operation, and clearly limiting the switch in the faulty line from being closed:

[0136]

[0137] in, Indicates the repair status of the distribution network line.

[0138] A distribution network node can be restored only when the node has a restoration path:

[0139]

[0140] in, It indicates the recovery status of the distribution network node, and BDG indicates the black start unit node.

[0141] It is understandable that the distribution network node can only be restored when there is a recovery path flowing in. The recovery of the node means that the power supply can be regained, and the recovery path is the channel for power transmission. Only when there is a path to introduce power into the node can the node resume normal operation. Further, ensure that the distribution network has a radial recovery path:

[0142]

[0143] It can be understood that in the path restoration scheduling model, the load restoration amount can be maximized by optimizing the restoration path and switch operation. This minimizes load outage losses.

[0144] For step S2, in a preferred embodiment, the communication recovery scheduling model includes: a communication network recovery scheduling model for optimizing the recovery time of the communication network, and a power supply recovery scheduling model for optimizing the fault removal time of the node;

[0145] Schematically, the communication recovery scheduling model optimizes the communication network recovery time and node fault troubleshooting time by comprehensively considering the operating status data of routers, communication links, nodes, and line switches, thereby improving the recovery efficiency of the entire communication network.

[0146] In a preferred embodiment, a communication network recovery scheduling model can be constructed based on the operation status data of the router, the operation status data of the communication link, the connection data between nodes, the node power supply data and the node communication status data.

[0147] The operation status data of the router includes: the operation status of the communication router and the number of communication links of the communication router; the operation status of the communication router includes: the communication router is in an available state and the communication router is in an unavailable state;

[0148] The operation status data of the communication link includes: the connection status of the link;

[0149] The connection data between the nodes include: the link status between each power grid node and the control center node and the line repair status corresponding to the line formed by connecting several nodes;

[0150] The node power supply data includes: the power supply status of each grid node;

[0151] The node communication status data includes: the communication status of each power grid node;

[0152] The process of constructing the communication network recovery scheduling model is:

[0153] According to the operation state of the communication router and the number of communication links of the communication router, generating a first functional formula for characterizing the availability state of the router at each communication link;

[0154] Generate a communication constraint for constraining the communication state between the grid node and the control center node according to the connection state of the link, the link state between each grid node and the control center node, the line repair state, the power supply state of each grid node, and the communication state of each grid node;

[0155] A communication network recovery scheduling model is constructed based on the first functional formula and the communication constraints.

[0156] Schematically, the first functional formula can quantify the availability of routers in different communication links, providing a basis for judging the connectivity of the communication network. The communication constraint ensures that the power grid nodes and the control center maintain effective communication connections under various practical situations. After combining the first functional formula with the communication constraint to construct a communication network recovery scheduling model, the model can comprehensively consider the status of routers and links, as well as the communication relationship between nodes and the control center, thereby optimizing the recovery time of the communication network and enabling the communication network to resume normal operation as soon as possible.

[0157] Furthermore, a power supply restoration scheduling model can be constructed based on the node load data, the operation status data of the router, the operation status data of the line switch, and the node fault elimination time; wherein the node load data includes: the first load demand of the grid node, the second load demand of the grid node corresponding to each communication device, and the load reduction amount on the bus corresponding to each communication device;

[0158] The operation status data of the router also includes: the power consumption of the communication router; the switch operation status data of the line includes: the closing status of several switches; the node fault elimination time includes: the fault elimination time corresponding to several nodes connected to the remote control system; then the process of constructing the power supply recovery scheduling model is:

[0159] Generate a second functional expression for characterizing the available state of the communication router during power supply restoration according to the operating state of the communication router, the first load demand of the grid node, the second load demand of the grid node corresponding to each communication device, and the load reduction amount on the bus corresponding to each communication device;

[0160] generating a third functional formula for representing the closing state of the switch during power supply restoration according to the operation state of the communication router, the closing state of each switch and the fault elimination time corresponding to each node connected to the remote control system;

[0161] According to the second functional formula and the third functional formula, a power supply restoration scheduling model is constructed.

[0162] It can be understood that the second function takes into account the impact of power supply and load demand on router availability, so the use of routers can be reasonably arranged during power restoration. The third function can reasonably control the closing operation of the switch according to the router status and node troubleshooting, thereby ensuring the safety and stability of power supply.

[0163] Finally, the second function and the third function are combined to construct a power supply restoration scheduling model, which enables the power supply restoration scheduling model to comprehensively consider factors such as node load, router status and switch operation, optimize the node troubleshooting time, and thus enable the power supply to return to normal as soon as possible.

[0164] In a preferred embodiment, in the communication network recovery scheduling model, the availability of the communication network is described by the status of the router and the communication link, ensuring that the recovery of the communication network after the disaster can provide timely support for the distribution network. The entire communication link is considered connected only when all routers in the link are in an available state. Then, according to the operating state of the communication router and the number of communication links of the communication router, a first functional formula for characterizing the availability of the router in each communication link is generated, which can be:

[0165]

[0166] Wherein, c and c' represent communication routers; Indicates the available status of the communication router. When it is 1, it means the router is connected at time t, otherwise it is 0; Indicates the availability status of the kth communication link of the cth router. When it is 1, it means it is available at time t, otherwise it is 0; Represents the number of communication links of the cth router.

[0167] Furthermore, the effective operation of the router requires that at least one network link between it and the control center remains unblocked:

[0168]

[0169] There is a communication route between network node i and the control center, which requires that the upstream node of node i has a communication connection with the control center; node i and its upstream node have a physical connection, then the communication constraint used to constrain the communication status between the grid node and the control center node is generated, which can be:

[0170] v OLT,t =1

[0171]

[0172] Among them, v OLT,t Indicates the link status between the optical line terminal (OLT) node and the control center; i represents the node, j represents the upstream node; v i,t represents the link status between node i and the control center. If the physical path between communication node i and the control center exists, then v i,t =1, otherwise 0; h ij,t Indicates the repair status of communication line ij. If line ij is repaired directly, then h ij,t =1, otherwise 0; k i,t represents the communication state of node i at time t; τ i,t Indicates the power supply status of network node i at time t. When it is 1, it means that network node i has sufficient power, otherwise it is 0; Nc represents the set of network nodes, N d N represents the node set of the faulty component; ONU Represents a set of multiple optical network unit nodes, N POS Represents a collection of passive device nodes.

[0173] The rapid recovery of the communication network can speed up the fault repair of the distribution network and reduce the load power outage losses. Therefore, by optimizing the recovery time of the communication network, the load recovery amount in the objective function can be indirectly affected.

[0174] In a preferred embodiment, in the process of constructing the power supply restoration scheduling model, since the communication router relies on the power supply of the power grid to complete the transmission of data and the execution of remote control instructions, the second functional formula generated to characterize the available state of the communication router during the power supply restoration period is:

[0175]

[0176] Among them, i(c) represents the node corresponding to the communication router c; represents the maximum load demand of node i at time t; represents the load reduction on bus i at time t; Indicates the power consumption of communication router c.

[0177] The operation of the remote control switch completely relies on the cooperation between the communication router and the RCS, and the third function formula used to characterize the closing state of the switch during power supply restoration is generated as follows:

[0178]

[0179] Where, l(s) represents the line corresponding to the sth remote control switch; Indicates the closing state of the remote control switch. When it is 1, it means that the switch on line l is successfully closed before time t, otherwise it is 0; c(s) represents the communication router that controls the sth RCS; Indicates the available status of the communication router controlling the sth RCS. 1 indicates that the router is connected at time t, otherwise it is 0; ΔT indicates the scheduling time interval; T s NCR,RCS represents the fault elimination time of all node units connected to the sth RCS; represents the duration required for the sth RCS remote operation; Indicates the fault clearing time of nc NCs; represents the set of NCs connected by the sth RCS; Ω RCS Represents a collection of RCSs.

[0180] For step S3, in a preferred embodiment, Figure 2 As shown, the present invention can establish a distribution network load loss objective function based on emergency repair scheduling and mobile power scheduling models, combined with communication models, distribution network recovery path models, distribution network operation models and distribution network-communication network coupling models, to evaluate the optimization of distribution network emergency repair effects.

[0181] Specifically, the first step is to build a construction team emergency repair scheduling model for the communication network and distribution network, as well as a mobile power supply scheduling model. By using the above-mentioned construction team emergency repair scheduling model and mobile power supply scheduling model as the distribution network recovery model, the coordinated scheduling of emergency repair resources can be achieved.

[0182] Considering the influence of the availability of communication network on the control and dispatch of distribution network, a communication model is constructed. Based on the distribution network recovery path and taking the networking equipment as the starting point, a distribution network recovery path model is constructed. A distribution network operation model is constructed, as well as a distribution network-communication network coupling model, so as to realize the distribution network recovery model.

[0183] Finally, according to the distribution network recovery model, the above-mentioned communication model, the distribution network recovery path model, the distribution network operation model and the construction of the distribution network-communication network coupling model, the objective function of minimizing the distribution network load loss (i.e., the above-mentioned objective model) is established. After optimizing and solving the objective function, the corresponding recovery strategy can be derived to minimize the load loss of the distribution network during the emergency repair process.

[0184] In a preferred embodiment, the target model with the goal of minimizing the load loss of the distribution network is constructed based on the emergency repair scheduling model and the communication recovery scheduling model, including:

[0185] According to the construction team emergency repair scheduling model and the load loss of the distribution network, a first correlation function is generated to characterize the correlation between the construction team emergency repair efficiency and the load loss; according to the mobile power scheduling model and the load loss of the distribution network, a second correlation function is generated to characterize the correlation between the power supply efficiency and the load loss; according to the path recovery scheduling model and the load loss of the distribution network, a third correlation function is generated to characterize the correlation between the line repair efficiency and the load loss; according to the communication network recovery scheduling model and the load loss of the distribution network, a fourth correlation function is generated to characterize the correlation between the recovery time of the communication network and the load loss; according to the power supply recovery scheduling model and the load loss of the distribution network, a fifth correlation function is generated to characterize the correlation between the fault elimination time of the node and the load loss;

[0186] A target model aiming at minimizing the load loss amount in the distribution network is generated according to the first correlation function, the second correlation function, the third correlation function, the fourth correlation function and the fifth correlation function.

[0187] It can be understood that by respectively generating the first correlation function, the second correlation function, the third correlation function, the fourth correlation function and the fifth correlation function, the key factors affecting the load loss of the distribution network (construction team, mobile power supply, line, communication network, node, etc.) can be analyzed separately and in detail. Therefore, the constructed correlation functions can accurately reflect the intrinsic connection between each factor and the load loss, so that in practical applications, it can more effectively guide the distribution network fault repair work and reduce the load loss caused by unreasonable scheduling and decision-making.

[0188] In the actual distribution network fault repair scenario, the repair efficiency of the construction team, the power supply efficiency of the mobile power supply, the line repair efficiency, the recovery time of the communication network, and the node troubleshooting time are interrelated and affect each other. For example, when arranging a construction team to repair the line, the power supply of the mobile power supply and the recovery status of the communication network can be considered at the same time, so as to formulate a more reasonable repair strategy, improve the overall recovery efficiency, and reduce load losses.

[0189] In a preferred embodiment, the target model includes:

[0190]

[0191] in, is the load weight coefficient of the i-th grid node, is the load demand of the ith grid node at time t, The load recovery amount of the i-th grid node at time t, The value of is used to represent the load loss of the distribution network; N c is the node set of the power grid nodes corresponding to each communication device, N p is a node set of power grid nodes, and T is a preset time period.

[0192] It can be understood that the main parameters of the power supply restoration scheduling model are: T s NCR,RCS and The earlier the fault elimination time step is, the fewer the fault clearing time step is, the faster the power supply is restored, the more timely the remote switch (RCS) operation is, the faster the distribution network is restored, and the load recovery is greater. The more. The communication network recovery scheduling model and Affects T s NCR,RCS and This in turn affects the load recovery

[0193] and They involve the selection of restoration paths and switch operations respectively. A reasonable restoration path can maximize the load restoration amount. Switching operations include manual switching and remote switching. The more timely the operation, the more load recovery in the distribution network. Furthermore, the parameters in each constraint condition mainly involve the line flow Node voltage Distributed power output The constraint formula is to ensure the stable operation of the distribution network and ensure that the load is restored stably and normally to increase the load recovery amount.

[0194] In a preferred embodiment, the distribution network operation model needs to construct constraints such as the output of distributed power sources, line flow, node voltage, etc. in the distribution network.

[0195] The node load recovery constraint is used to constrain the node load recovery range of the distribution network, specifically:

[0196]

[0197] in, is the node load recovery amount, represents the load state of node i at time step t, is the node load demand.

[0198] After the node in the distribution network is restored, the power output constraint can be used to constrain the distributed power output, and the active and reactive output range of the power source is:

[0199]

[0200]

[0201] in, and It is expressed as the active output and reactive output of distributed generation in the distribution network; and It is the maximum active and reactive output value of the unit; represents the operating status of distributed generation node i at time step t; and Indicates the active and reactive output of mobile power in the distribution network.

[0202] After the line in the distribution network is restored, the line can transmit power, and the line power transmission constraint is expressed as:

[0203]

[0204] in, and represents the active and reactive power flow of line ij at time step t; M represents a large number used to establish heuristic constraints related to binary variables.

[0205] Furthermore, the node power balance constraint can constrain the active and reactive power balance of the node, which is expressed as:

[0206]

[0207] in, Represents the wind power output of node i at time step t.

[0208] Furthermore, the node voltage constraint is:

[0209]

[0210] in, It is represented by the voltage of node i at time t; R i,j and X i,j represents the resistance and reactance of line ij; represents the repair status of line ij at time t. If line ij has been repaired at time t, then otherwise

[0211] In a preferred embodiment, the present invention also includes a voltage deviation constraint of a node, which is expressed as:

[0212]

[0213] Among them, U i and Represents the upper and lower limits of the voltage at node i.

[0214] With the above constraints, power distribution and voltage control can be optimized to ensure the stability of load recovery, thereby affecting the load recovery amount.

[0215] For step S4, in a preferred embodiment, the target model of the present invention is a combinatorially optimized mixed integer linear programming model, and the CPLEX solver can be called in the MATLAB computing platform to optimize and solve the model.

[0216] Furthermore, after obtaining the target recovery strategy for fault repair, the dispatcher can arrange the construction teams to go to the fault nodes for repair in order of priority according to the generated construction team dispatch order. When extreme disasters cause multiple faults, the construction teams are preferentially dispatched to the fault points that affect the power supply of key users (such as hospitals, government agencies, etc.) to ensure that the power supply of important loads is restored as soon as possible.

[0217] In a preferred embodiment, the capacity of each distributed generation device is 100kW+50kVar. The initial state of all contact switches in the test system is open, and other switches are closed. All fault repair times are set to 1 hour, and the moving time is set to 1 hour, ignoring the impact of traffic conditions. The simulation time step is 1 hour, and the number of construction teams is 1 for each network.

[0218] Joint repair of communication network and distribution network Figure 3 As shown in the figure, the specific repair time step of each fault line is shown as follows: Figure 4 and Figure 5. In the initial state, the distribution lines D2-3, D15-16, D2-19, D29-30 and D32-33 are damaged, causing the corresponding communication cables C2-3, C15-16, C2-19, C29-30 and C32-33 to also fail. The distribution lines only supply power to nodes 1 and 2, and a large number of users are cut off from power. The target model of the present invention is used to solve the data of the communication network and the distribution network to obtain the corresponding emergency repair strategy. After the repair work corresponding to the emergency repair strategy is completed, the system returns to normal at time step 10, that is, the power and communication networks in the system return to normal, successfully coping with the large-scale power outage.

[0219] Therefore, the target model of the present invention can quickly transmit repair information and flexibly allocate resources through the cooperation of the construction team and the mobile power supply, effectively improving the recovery speed and coverage of the load.

[0220] like Figure 6 As shown, based on the above-mentioned various embodiments of the method for generating a recovery strategy applicable to fault repair, the present invention provides a corresponding device embodiment;

[0221] An embodiment of the present invention provides a recovery strategy generation device suitable for fault repair, comprising: a repair scheduling model construction module, a communication recovery scheduling model construction module, a target model construction module and a recovery strategy generation module;

[0222] The emergency repair scheduling model building module is used to build an emergency repair scheduling model for measuring the efficiency of fault repair based on the emergency repair data of the construction team, the power supply scheduling data of the power source, and the distribution network path recovery data;

[0223] The communication recovery scheduling model building module is used to build a communication recovery scheduling model for measuring the recovery speed of the communication network according to the operation status data of the router, the operation status data of the communication link, the operation data of the node and the switch operation status data of the line; wherein the operation data of the node includes: node communication status data, connection data between nodes, node load data, node fault elimination time and node power supply data;

[0224] The target model construction module is used to construct a target model with the goal of minimizing the load loss of the distribution network according to the emergency repair scheduling model and the communication recovery scheduling model; wherein the constraints corresponding to the target model include: power output constraints, line power transmission constraints, node load recovery constraints, node power balance constraints and node voltage constraints;

[0225] The restoration strategy generation module is used to solve the target model under the constraint conditions and generate a target restoration strategy for fault repair when the load loss of the distribution network is minimal;

[0226] The target recovery strategy includes: the scheduling order of the construction team, the power supply order of the mobile power supply, the moving path of the mobile power supply, the recovery path of the distribution network, the adjustment time of the router status and the adjustment time of the switch status.

[0227] It should be noted that the device embodiments described above are merely schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without paying creative labor.

[0228] Those skilled in the art can clearly understand that, for the sake of convenience and simplicity, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0229] Based on the above-mentioned various embodiments of the method for generating a recovery strategy applicable to fault repair, the present invention provides a corresponding embodiment of a terminal device item.

[0230] An embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, it implements a method for generating a recovery strategy suitable for fault repair as described in any method embodiment of the present invention.

[0231] Based on the above-mentioned various embodiments of the method for generating a recovery strategy applicable to fault repair, the present invention provides a corresponding storage medium embodiment.

[0232] An embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute a recovery strategy generation method suitable for fault repair as described in any method embodiment of the present invention.

[0233] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for generating a recovery strategy suitable for fault repair, characterized in that: include: Based on the emergency repair data of the construction team, the power supply dispatching data of the power source and the distribution network path recovery data, a repair dispatching model for measuring the efficiency of fault repair is constructed; A communication recovery scheduling model for measuring the recovery speed of the communication network is constructed based on the operation status data of the router, the operation status data of the communication link, the operation data of the node, and the operation status data of the line switch; wherein the operation data of the node includes: node communication status data, connection data between nodes, node load data, node fault elimination time, and node power supply data; According to the emergency repair scheduling model and the communication restoration scheduling model, a target model with the goal of minimizing the load loss of the distribution network is constructed; wherein the constraints corresponding to the target model include: power output constraints, line power transmission constraints, node load recovery constraints, node power balance constraints and node voltage constraints; Under the constraint conditions, the target model is solved to generate a target recovery strategy for fault repair when the load loss of the distribution network is minimized; The target recovery strategy includes: the scheduling order of the construction team, the power supply order of the mobile power supply, the moving path of the mobile power supply, the recovery path of the distribution network, the adjustment time of the router status and the adjustment time of the switch status.

2. A method for generating a recovery strategy suitable for fault repair as claimed in claim 1, characterized in that: The emergency repair scheduling model includes: a construction team emergency repair scheduling model, a mobile power scheduling model and a path recovery scheduling model; The construction team repair data includes: the time when the construction team goes from the warehouse to the faulty node, the time when the construction team returns from the faulty node to the warehouse, the repair status of the faulty node, and the repair time of the faulty node; The power supply scheduling data of the power source includes: the power supply location of the mobile power source, the arrival time of the mobile power source at the fault point, the departure time of the mobile power source from the fault point, the power supply status of the fault point, and the continuous power supply time of the fault point; The distribution network path recovery data includes: line data of the distribution network, recovery path data of the distribution network line, line repair status data of the distribution network, and node recovery status data of the distribution network; The repair scheduling model for measuring the efficiency of fault repair is constructed based on the repair data of the construction team, the power supply scheduling data of the power source, and the distribution network path recovery data, including: According to the time when the construction team goes from the warehouse to the fault node, the time when the construction team returns from the fault node to the warehouse, the repair status of the fault node and the repair time of the fault node, a construction team emergency repair scheduling model for optimizing the emergency repair efficiency of the construction team is constructed; A mobile power scheduling model for optimizing the power supply efficiency of the mobile power is constructed according to the power supply position of the mobile power supply, the arrival time of the mobile power supply at the fault point, the departure time of the mobile power supply from the fault point, the power supply state of the fault point, and the continuous power supply time of the fault point; A path restoration scheduling model for optimizing line restoration efficiency is constructed based on line data of the distribution network, restoration path data of the distribution network lines, line repair status data of the distribution network, and node restoration status data of the distribution network.

3. A method for generating a recovery strategy suitable for fault repair as claimed in claim 2, characterized in that: The communication recovery scheduling model includes: a communication network recovery scheduling model for optimizing the recovery time of the communication network, and a power supply recovery scheduling model for optimizing the fault removal time of the node; The communication recovery scheduling model for measuring the recovery speed of the communication network is constructed according to the operation status data of the router, the operation status data of the communication link, the operation data of the node and the switch operation status data of the line, including: Construct a communication network recovery scheduling model based on the operation status data of the router, the operation status data of the communication link, the connection data between nodes, the power supply data of the node, and the communication status data of the node; A power supply restoration scheduling model is constructed based on node load data, router operating status data, line switch operating status data, and node fault elimination time.

4. A method for generating a recovery strategy suitable for fault repair as claimed in claim 3, characterized in that: The operation status data of the router includes: the operation status of the communication router and the number of communication links of the communication router; the operation status of the communication router includes: the communication router is in an available state and the communication router is in an unavailable state; The operation status data of the communication link includes: the connection status of the link; The connection data between the nodes include: the link status between each power grid node and the control center node and the line repair status corresponding to the line formed by connecting several nodes; The node power supply data includes: the power supply status of each grid node; The node communication status data includes: the communication status of each power grid node; The communication network recovery scheduling model is constructed according to the operation status data of the router, the operation status data of the communication link, the connection data between nodes, the node power supply data and the node communication status data, including: According to the operation state of the communication router and the number of communication links of the communication router, generating a first functional formula for characterizing the availability state of the router at each communication link; Generate a communication constraint for constraining the communication state between the grid node and the control center node according to the connection state of the link, the link state between each grid node and the control center node, the line repair state, the power supply state of each grid node, and the communication state of each grid node; A communication network recovery scheduling model is constructed based on the first functional formula and the communication constraints.

5. A method for generating a recovery strategy suitable for fault repair as claimed in claim 4, characterized in that: The node load data includes: a first load demand of a power grid node, a second load demand of a power grid node corresponding to each communication device, and a load reduction amount on a bus corresponding to each communication device; The operation status data of the router also includes: the power consumption of the communication router; the switch operation status data of the line, including: the closing status of several switches; the node fault elimination time, including: the fault elimination time corresponding to several nodes connected to the remote control system; The power supply restoration scheduling model is constructed according to the node load data, the operation status data of the router, the switch operation status data of the line and the node fault elimination time, including: Generate a second functional expression for characterizing the available state of the communication router during power supply restoration according to the operating state of the communication router, the first load demand of the grid node, the second load demand of the grid node corresponding to each communication device, and the load reduction amount on the bus corresponding to each communication device; generating a third functional formula for representing the closing state of the switch during power supply restoration according to the operation state of the communication router, the closing state of each switch and the fault elimination time corresponding to each node connected to the remote control system; According to the second functional formula and the third functional formula, a power supply restoration scheduling model is constructed.

6. A method for generating a recovery strategy suitable for fault repair as claimed in claim 5, characterized in that: The target model with the goal of minimizing the load loss of the distribution network is constructed according to the emergency repair scheduling model and the communication restoration scheduling model, including: According to the construction team emergency repair scheduling model and the load loss of the distribution network, a first correlation function is generated to characterize the correlation relationship between the emergency repair efficiency of the construction team and the load loss; Generating a second correlation function for characterizing the correlation relationship between power supply efficiency and load loss according to the mobile power dispatching model and the load loss amount of the distribution network; According to the path restoration scheduling model and the load loss amount of the distribution network, a third correlation function is generated to characterize the correlation relationship between the repair efficiency of the line and the load loss; Generating a fourth correlation function for characterizing the correlation between the restoration time of the communication network and the load loss according to the communication network restoration scheduling model and the load loss amount of the distribution network; According to the power supply restoration scheduling model and the load loss amount of the distribution network, a fifth correlation function is generated for characterizing the correlation relationship between the fault elimination time of the node and the load loss; A target model aiming at minimizing the load loss amount in the distribution network is generated according to the first correlation function, the second correlation function, the third correlation function, the fourth correlation function and the fifth correlation function.

7. A method for generating a recovery strategy suitable for emergency repair of a fault according to claim 6, characterized in that: The target model comprises: in, is the load weight coefficient of the i-th grid node, is the load demand of the ith grid node at time t, The load recovery amount of the i-th grid node at time t, The value of is used to represent the load loss of the distribution network; N c is the node set of the power grid nodes corresponding to each communication device, N p is a node set of power grid nodes, and T is a preset time period.

8. A recovery strategy generation device suitable for fault repair, characterized in that: include: Repair scheduling model building module, communication recovery scheduling model building module, target model building module and recovery strategy generation module; The emergency repair scheduling model building module is used to build an emergency repair scheduling model for measuring the efficiency of fault repair based on the emergency repair data of the construction team, the power supply scheduling data of the power source, and the distribution network path recovery data; The communication recovery scheduling model building module is used to build a communication recovery scheduling model for measuring the recovery speed of the communication network according to the operation status data of the router, the operation status data of the communication link, the operation data of the node and the switch operation status data of the line; wherein the operation data of the node includes: node communication status data, connection data between nodes, node load data, node fault elimination time and node power supply data; The target model construction module is used to construct a target model with the goal of minimizing the load loss of the distribution network according to the emergency repair scheduling model and the communication recovery scheduling model; wherein the constraints corresponding to the target model include: power output constraints, line power transmission constraints, node load recovery constraints, node power balance constraints and node voltage constraints; The recovery strategy generation module is used to solve the target model under the constraint conditions and generate a target recovery strategy for fault repair when the load loss of the distribution network is minimal; The target recovery strategy includes: the scheduling order of the construction team, the power supply order of the mobile power supply, the moving path of the mobile power supply, the recovery path of the distribution network, the adjustment time of the router status and the adjustment time of the switch status.

9. A terminal device, characterized in that: It comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, it implements a recovery strategy generation method suitable for fault repair as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a recovery strategy generation method suitable for fault repair as described in any one of claims 1 to 7.

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