In-disaster response and recovery method and system for power transmission system under mountain fire disaster

Abstract

The invention discloses an in-disaster response and recovery method and system for a power transmission system under a mountain fire disaster, and relates to the technical field of power transmission systems. According to the method, fault line data and maintenance resource data are collected, a power transmission system post-disaster recovery model is constructed with the purpose of minimizing the total recovery time of all fault lines, the line post-disaster response and recovery efficiency is calculated based on the output of the power transmission system in-disaster response model and the power transmission system post-disaster recovery model, and the elasticity of the power transmission system under the mountain fire disaster is evaluated. And an emergency response strategy is adjusted and perfected. According to the power transmission system in-disaster response and after-disaster recovery model provided by the invention, through refined modeling, the after-disaster load loss capacity and the time required for normal operation recovery of the system are measured more accurately, the defect of simplified processing of the recovery process in the prior art is overcome, resource scheduling can be optimized, the after-disaster recovery efficiency of the power system is improved, and the power transmission system in-disaster response and after-disaster recovery model is suitable for popularization and application. The cost effectiveness and the recovery efficiency are both improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission systems, and in particular to a method and system for disaster response and recovery of a power transmission system under a wildfire disaster. Background Art

[0002] As a key infrastructure in modern society, the reliability and resilience of the power system have always been the focus of industry attention. With the frequent occurrence of extreme climate events, especially the increasingly serious threat posed to the power grid by natural disasters such as wildfires, the disaster response capability of the power system has become an urgent issue to be addressed. Traditional power system management mainly focuses on optimizing scheduling under normal operating conditions, and is relatively lacking in response and recovery capabilities to sudden disasters. In recent years, although the development of smart grid technology has provided new possibilities for improving system resilience, the existing response strategies are still insufficient in the face of extreme situations where large-scale and multiple lines are damaged at the same time. Especially in the short term after a disaster, how to quickly assess the system status, formulate the optimal load reduction plan, and how to efficiently plan and execute system recovery after the disaster have not been fully addressed.

[0003] The existing power system disaster response technology has the following main deficiencies: First, for disaster response, most methods lack comprehensive consideration of the overall stability of the system, making it difficult to ensure the static safety conditions of the system while minimizing load reduction. Second, in the post-disaster recovery phase, traditional methods often use simple heuristic algorithms to arrange maintenance teams, failing to fully consider the optimization of maintenance paths and multi-team coordination issues, resulting in low recovery efficiency. Furthermore, existing technologies usually regard disaster response and post-disaster recovery as two independent processes, lacking systematic consideration of the entire event cycle, making it difficult to achieve a globally optimal solution. Finally, the assessment of system resilience is mostly limited to qualitative analysis, lacking quantitative evaluation indicators and methods, making it difficult to provide clear guidance for system improvement. Summary of the invention

[0004] In view of the above-mentioned problems that the existing power system disaster response technology has insufficient response speed and low recovery efficiency when facing disasters such as extreme wildfires, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: to propose a power system disaster response and resilience assessment method based on a mathematical model to improve the response capability and recovery efficiency of the power grid when facing extreme events such as wildfires.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: a method for disaster response and recovery of a power transmission system under wildfire disasters, comprising collecting power system data and real-time monitoring data, constructing a disaster response model of the power transmission system with the goal of minimizing load reduction; collecting fault line data and maintenance resource data, constructing a post-disaster recovery model of the power transmission system with the goal of minimizing the total repair time of all fault lines, and inputting the collected fault line data, maintenance resource data and the output of the power transmission system disaster response model into the power transmission system post-disaster recovery model; based on the output of the power transmission system disaster response model and the power transmission system post-disaster recovery model, calculating the post-disaster response and recovery efficiency of the line, evaluating the resilience of the power transmission system under wildfire disasters, and adjusting and improving the emergency response strategy.

[0007] As a preferred solution of the method for disaster response and recovery of the power transmission system under wildfire disaster of the present invention, the power system data and real-time monitoring data are collected including generator output, load demand, line transmission capacity, faulty lines during wildfire disaster, tripping information and load reduction.

[0008] As a preferred solution of the disaster response and recovery method of the power transmission system under wildfire disaster of the present invention, wherein: with the goal of minimizing the load reduction, the disaster response model of the power transmission system is constructed, including that under extreme wildfire disasters, multiple lines in the power transmission system fail and trip, and the static safety conditions of the system need to be met by rescheduling the generator output and reducing the load. The objective function and constraint conditions of the disaster response model of the power transmission system are as follows:

[0009] The objective function for minimizing load reduction is as follows:

[0010]

[0011] The system power balance formula is as follows:

[0012]

[0013] The generator output range formula is as follows:

[0014] 0≤p g i,t ≤p g,max i

[0015] The load shedding limit formula is as follows:

[0016] 0≤p cur j,t ≤p d j,t

[0017] The transmission capacity constraints are as follows:

[0018]

[0019] Where T represents the scheduling period, t represents the tth time period, and N d represents the number of loads, j represents the jth load, p cur j,t represents the load shedding power of load j in time period t, N g represents the number of units, i represents the i-th unit, p g i,t represents the output of unit i in period t, p d j,t represents the load power of load j in time period t, p g,max i represents the maximum technical output of unit i, H l，i and H l，j They represent the power transfer distribution factors of unit i and load j on line l, respectively, l Indicates the maximum transmission capacity of line l.

[0020] As a preferred solution of the method for disaster response and recovery of power transmission system under wildfire disaster of the present invention, the fault line data and maintenance resource data collected include the location of the fault line, the number of fault lines, the degree of damage to the fault line, the number of maintenance teams, maintenance equipment and personnel configuration, and maintenance path.

[0021] As a preferred solution of the method for disaster response and recovery of the power transmission system under wildfire disaster of the present invention, wherein: with the goal of minimizing the total repair time of all faulty lines, constructing a post-disaster recovery model of the power transmission system includes: establishing an objective function to minimize the total repair time of all faulty lines; determining the optimal path of the maintenance team and planning the route from the maintenance center to each faulty line; allocating maintenance tasks to ensure that all faulty lines are repaired only once; calculating the arrival time and repair time of the maintenance team to ensure that the time constraints in the maintenance process are met.

[0022] As a preferred solution of the method for disaster response and recovery of power transmission system under wildfire disaster of the present invention, the objective function of minimizing the total repair time is as follows:

[0023] min∑ r∈D\{0} τ r

[0024] Where D represents the set of maintenance centers and faulty lines, τ r Indicates the repair completion time of line r;

[0025] After the maintenance team c completes the repair of a line, it will go to the next faulty line and needs to satisfy the following formula:

[0026] Σs∈D\{r} x r,s,c -Σ s∈D\{r} x s,r,c =0,r∈D,c∈C

[0027] Among them, x r,s,c and x s,r,c Both represent maintenance personnel scheduling path decision variables, x r,s,c It means that when the maintenance team c arrives at the faulty line s from the faulty line r, the variable x r,s,c The value is 1, otherwise it is 0; when the maintenance team c returns to the faulty line r from the faulty line s, the variable x s,r,c The value is 1, otherwise the value is 0. C represents the set of maintenance teams, and D represents the set of maintenance centers and faulty lines.

[0028] Planning the route from the maintenance center to each fault line includes that the maintenance team c must start from the maintenance center and return to the maintenance center after completing all maintenance tasks. The expression of the maintenance team route constraint is as follows:

[0029] n crew =Σ c∈C Σ r∈D\{0} x 0,r,c -Σ c∈C ∑ r∈D\{0} x r,0,c

[0030] Among them, n crew represents the number of maintenance teams, c represents the index of the maintenance team, C represents the set of maintenance teams, D represents the set of maintenance centers and faulty lines, r represents the rth faulty line, x 0,r,c It means that when the maintenance team c arrives at the fault line r from the maintenance center, x 0,r,c The value is 1, otherwise it is 0. r,0,c It means that when the maintenance team c returns to the maintenance center from the fault line r, x r,0,c The value is 1, otherwise the value is 0;

[0031] Let y r,c A binary variable indicating whether the maintenance team c passes through the fault line r. If so, the value is 1, otherwise, the value is 0. r,c Satisfies the following formula:

[0032] y r,c =∑ s∈D\{r} x r,s,c ,r∈D,c∈C

[0033] Among them, y r,cA binary variable indicating whether the maintenance team c passes through the fault line r. s and r both represent fault lines, c represents the index of the maintenance team, C represents the set of maintenance teams, and D represents the set of maintenance centers and fault lines.

[0034] As a preferred solution of the method for disaster response and recovery of power transmission system under wildfire disaster of the present invention, the maintenance tasks are allocated to ensure that all faulty lines are repaired only once; the arrival time and repair time of the maintenance team are calculated to ensure that the time constraints in the maintenance process are satisfied, including that all faulty lines only need to be repaired once during the maintenance process, and the constraint that the line only needs to be repaired once is:

[0035] ∑ c∈C y r,c =1,r∈D\{0}

[0036] Among them, c represents the index of the maintenance team, C represents the set of maintenance teams, and y r,c A binary variable indicating whether the maintenance team c passes through the fault line r, r represents the fault line, D represents the set of maintenance centers and fault lines; let the time required for the maintenance team to repair the fault line r be t r,c The time it takes for maintenance team c to travel from point r to point s is t rou r,s,c , the time for the maintenance team c to arrive at the fault line r is T r,c , then the time T for the maintenance team c to arrive at the next fault line s is s,c Satisfies the following formula:

[0037] T r,c -T s,c +t r,c +t rou r,s,c ≤M(1-x r,s,c )

[0038]

[0039] Where M represents the upper bound constant, t init Indicates the maintenance team preparation time, t r,c represents the time required for the maintenance team to repair the faulty line r, t rou r,s,c represents the time it takes for maintenance team c to travel from point r to point s, T r,c represents the time it takes for the maintenance team c to arrive at the fault line r, T s,c represents the time for the maintenance team c to arrive at the next fault line s, y r,c A binary variable indicating whether the maintenance team c passes through the fault line r, D represents the set of maintenance centers and fault lines, T 0,cThe starting time of the maintenance team c; the formula satisfied by the maintenance time of the fault line r is as follows:

[0040] τ r ≥∑ c∈C (T r,c +t r,c y r,c ),r∈D\{0}

[0041] Among them, τ r represents the repair completion time of line r, c represents the index of the maintenance team, C represents the set of maintenance teams, T r,c represents the time when the maintenance team c arrives at the fault line r, t r,c represents the time required for the maintenance team to repair the faulty line r, y r,c A binary variable indicating whether the maintenance team c passes through the fault line r, D represents the set of maintenance centers and fault lines; the binary variable h is introduced r,t represents the period of time when the line fault r is repaired. If the faulty line r is repaired in period t, then h r,t The value is 1, otherwise the value is 0. The formula for the fault repair completion period constraint is as follows:

[0042]

[0043] Among them, ε is a small constant, τ r represents the repair completion time of line r, T represents the dispatching period, t represents the tth time period, r represents the faulty line, and D represents the set of maintenance centers and faulty lines. The binary variable q is introduced. r,t represents the repair status of the faulty line r. If the faulty line r has been repaired in period t, then q r,t The value is 1, otherwise it is 0. The formula for the fault repair state constraint is as follows:

[0044]

[0045] Among them, q r,t represents the repair status of the fault line r, t represents the tth time period, m represents the mth time period, T represents the scheduling period, and h r,m Indicates the repair completion status of the faulty line r in time period m.

[0046] The present invention provides the following technical solutions: a disaster response and recovery system for a power transmission system under a wildfire disaster, comprising: a first model building module, used to collect power system data and real-time monitoring data, and to build a disaster response model for the power transmission system with the goal of minimizing load reduction; a second model building module, used to collect fault line data and maintenance resource data, and to build a post-disaster recovery model for the power transmission system with the goal of minimizing the total repair time of all fault lines, and to input the collected fault line data, maintenance resource data and the output of the power transmission system disaster response model into the power transmission system post-disaster recovery model; a calculation module, used to calculate the post-disaster response and recovery efficiency of the line based on the output of the power transmission system disaster response model and the power transmission system post-disaster recovery model, evaluate the elasticity of the power transmission system under a wildfire disaster, and adjust and improve the emergency response strategy.

[0047] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the method for disaster response and recovery of a power transmission system under a wildfire disaster are implemented.

[0048] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method for disaster response and recovery of a power transmission system in the event of a wildfire disaster are implemented.

[0049] The beneficial effects of the present invention are as follows: the proposed transmission system disaster response and post-disaster recovery model, through refined modeling, more accurately measures the post-disaster load loss and the time required for the system to resume normal operation, making up for the shortcomings of the existing technology in simplifying the recovery process, and helping to more accurately evaluate the system resilience and optimize resource scheduling, thereby improving recovery efficiency; by considering complex factors such as the geographical location of the faulty component, the scheduling of maintenance personnel and the repair time, the system recovery model of the present invention is closer to the actual operating environment, overcoming the limitations of the overly simplified model assumptions in the existing technology, and improving the practicality and accuracy of the model; by optimizing the maintenance route of the maintenance team, the maintenance team can be ensured to Maintenance personnel can repair all faulty lines and return to the maintenance center in the shortest time possible, effectively reducing the total repair time of faulty lines, speeding up the recovery of the power system, and reducing the socioeconomic losses caused by wildfires. Through intelligent scheduling and optimization strategies, the resilience and stability of the power system in the face of extreme wildfires are enhanced, ensuring the safety and continuity of power supply, which is of great significance for ensuring the normal operation of social and economic activities. Through precise assessment, prediction and scheduling, unnecessary waste of resources is reduced, the cost of post-disaster recovery is reduced, and the efficiency of post-disaster recovery of the power system is improved, achieving a dual improvement in cost-effectiveness and recovery efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0051] Figure 1 This is a schematic diagram of the structure of a terminal in the first embodiment of the present invention;

[0052] Figure 2 It is a schematic diagram of a flow chart in the first embodiment of the present invention;

[0053] Figure 3 FIG. 4 is a schematic diagram of the structure of a computer device in a third embodiment of the present invention. DETAILED DESCRIPTION

[0054] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0055] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0056] Example 1

[0057] Reference Figure 1 , which is an embodiment of the present invention, provides a method for disaster response and recovery of a power transmission system under a wildfire disaster.

[0058] First, the disaster response and recovery method of the power transmission system under wildfire disaster provided by this application can be applied to Figure 1 In the terminal shown. Figure 1 As shown, the terminal may include one or two ( Figure 1 Only one is shown in the figure) processor and memory for storing data, wherein the processor may include but is not limited to a processing system such as a microprocessor MCU or a programmable logic device FPGA. The above terminal may also include a transmission device and an input and output device for communication functions. It can be understood by ordinary technicians in this field that Figure 1 The structure shown is only for illustration and does not limit the structure of the above terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0059] The memory can be used to store computer programs, such as the computer program corresponding to the disaster response and recovery method of the power transmission system under the wildfire disaster in this embodiment. The processor executes various functional applications and data processing by running the computer program stored in the memory, that is, implementing the above method. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0060] The transmission device is used to receive or send data via a network. The above network includes a wireless network provided by a communication provider of the terminal. In one example, the transmission device includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device can be a radio frequency (Radio Frequency, referred to as RF) module, which is used to communicate with the Internet wirelessly.

[0061] like Figure 2 As shown, the embodiment of the present invention provides a method for disaster response and recovery of a power transmission system under a wildfire disaster, and the method is applied to Figure 1 The terminal in is used as an example to illustrate, including the following steps:

[0062] S1: Collect power system data and real-time monitoring data, build a transmission system disaster response model with the goal of minimizing load reduction.

[0063] Specifically, the power system data collected and the real-time monitoring data include generator output, load demand, line transmission capacity, faulty lines during wildfire disasters, tripping information, and load reduction.

[0064] Furthermore, in the case of extreme wildfire disasters, multiple lines in the transmission system fail and trip, and the static safety conditions of the system need to be met by rescheduling the generator output and reducing the load. The objective function and constraints of the transmission system disaster response model are as follows:

[0065] The objective function is as follows:

[0066]

[0067] The system power balance formula is as follows:

[0068]

[0069] The generator output range formula is as follows:

[0070] 0≤p g i,t ≤p g,max i

[0071] Load shedding limit formula:

[0072] 0≤p cur j,t ≤p d j,t

[0073] The transmission capacity constraints are as follows:

[0074]

[0075] Where T represents the scheduling period, t represents the tth time period, and N d represents the number of loads, j represents the jth load, p cur j,t represents the load shedding power of load j in time period t, N g represents the number of units, i represents the i-th unit, p g i,t represents the output of unit i in period t, p d j,t represents the load power of load j in time period t, p g,max i represents the maximum technical output of unit i, H l，i and H l，j They represent the power transfer distribution factors of unit i and load j on line l, respectively, l Indicates the maximum transmission capacity of line l.

[0076] S2: Collect fault line data and maintenance resource data, build a transmission system post-disaster recovery model with the goal of minimizing the total repair time of all fault lines, and input the collected fault line data, maintenance resource data and the output of the transmission system disaster response model into the transmission system post-disaster recovery model.

[0077] Specifically, the collected fault line data and maintenance resource data include the location of the fault line, the number of fault lines, the degree of damage to the fault line, the number of maintenance teams, maintenance equipment and personnel configuration, and maintenance routes.

[0078] Furthermore, in the post-disaster recovery phase of the transmission system, maintenance personnel should repair the faulty lines as quickly as possible to restore load supply. In this process, the time for maintenance personnel to reach each faulty line and the maintenance time should be considered to optimize the maintenance path. The optimization problem can be expressed as follows: the index of the maintenance team and the set it constitutes are recorded as c and C respectively, the number of maintenance teams is ncrew (Number of Crews), and the maintenance team will go to the faulty line along a certain path, extinguish the wildfire around the line in the shortest time, repair all faults, and return to the maintenance center. There are K faulty lines, and the set composed of the maintenance center and the faulty line is set to D = {0, 1, 2, ..., K}, where 0 is the maintenance center; 1, 2, ..., K are the numbers of the faulty lines respectively.

[0079] Furthermore, with the goal of minimizing the total repair time of all faulty lines, a post-disaster recovery model for the power transmission system is constructed, including establishing an objective function to minimize the total repair time of all faulty lines; determining the optimal path for the maintenance team and planning the route from the maintenance center to each faulty line; allocating maintenance tasks to ensure that all faulty lines are repaired only once; and calculating the arrival time and repair time of the maintenance team to ensure that the time constraints in the maintenance process are met.

[0080] Furthermore, the goal of the post-disaster recovery model of the transmission system is to minimize the total repair time of all faulty lines. r is the repair completion time of the fault line r, then the objective function is:

[0081] min∑ r∈D\{0} τ r

[0082] Where D represents the set of maintenance centers and faulty lines, τ r Indicates the time when line r is repaired.

[0083] Furthermore, after the maintenance team c completes the repair of a line, it will go to the next faulty line and needs to satisfy the following formula:

[0084] ∑ s∈D\{r} x r,s,c -∑ s∈D\{r} x s,r,c =0,r∈D,c∈C

[0085] Among them, x r,s,c and x s,r,c Both represent maintenance personnel scheduling path decision variables, x r,s,c It means that when the maintenance team c arrives at the faulty line s from the faulty line r, the variable x r,s,c The value is 1, otherwise it is 0; when the maintenance team c returns to the faulty line r from the faulty line s, the variable x s,r,cThe value is 1, otherwise the value is 0. C represents the set of maintenance teams, and D represents the set of maintenance centers and faulty lines.

[0086] Furthermore, the maintenance team c must start from the maintenance center and return to the maintenance center after completing all maintenance tasks. The expression of the maintenance team route constraint is as follows:

[0087] n crew =Σ c∈C Σ r∈D\{0} x 0,r,c -Σ c∈C ∑ r∈D\{0} x r,0,c

[0088] Among them, n crew represents the number of maintenance teams, c represents the index of the maintenance team, C represents the set of maintenance teams, D represents the set of maintenance centers and faulty lines, r represents the rth faulty line, x 0,r,c It means that when the maintenance team c arrives at the fault line r from the maintenance center, x 0,r,c The value is 1, otherwise it is 0. r,0,c It means that when the maintenance team c returns to the maintenance center from the fault line r, x r,0,c The value is 1, otherwise the value is 0.

[0089] Furthermore, let y r,c A binary variable indicating whether the maintenance team c passes through the fault line r. If so, the value is 1, otherwise, the value is 0. r,c Satisfies the following formula:

[0090] y r,c =∑ s∈D\{r} x r,s,c ,r∈D,c∈C

[0091] Among them, y r,c A binary variable indicating whether the maintenance team c passes through the fault line r. s and r both represent fault lines, c represents the index of the maintenance team, C represents the set of maintenance teams, and D represents the set of maintenance centers and fault lines.

[0092] Furthermore, all faulty lines only need to be repaired once during the maintenance process, and the constraint that the line only needs to be repaired once is:

[0093] ∑ c∈C y r,c =1,r∈D\{0}

[0094] Among them, c represents the index of the maintenance team, C represents the set of maintenance teams, and y r,cA binary variable indicating whether the maintenance team c passes through the fault line r, r represents the fault line, and D represents the set of maintenance centers and fault lines.

[0095] Furthermore, suppose the time required for the maintenance team to repair the faulty line r is t r,c The time it takes for maintenance team c to travel from point r to point s is t rou r,s,c , the time for the maintenance team c to arrive at the fault line r is T r,c , then the time T for the maintenance team c to arrive at the next fault line s is s,c Satisfies the following formula:

[0096] T r,c -T s,c +t r,c +t rou r,s,c ≤M(1-x r,s,c )

[0097]

[0098] Where M represents the upper bound constant, t init Indicates the maintenance team preparation time, t r,c represents the time required for the maintenance team to repair the faulty line r, t rou r,s,c represents the time it takes for maintenance team c to travel from point r to point s, T r,c represents the time it takes for the maintenance team c to arrive at the fault line r, T s,c represents the time for the maintenance team c to arrive at the next fault line s, y r,c A binary variable indicating whether the maintenance team c passes through the fault line r, D represents the set of maintenance centers and fault lines, T 0,c The start time of maintenance team c.

[0099] Furthermore, the repair time of the fault line r satisfies the following formula:

[0100] τ r ≥∑ c∈C (T r,c +t r,c y r,c ),r∈D\{0}

[0101] Among them, τ r represents the repair completion time of line r, c represents the index of the maintenance team, C represents the set of maintenance teams, T r,c represents the time when the maintenance team c arrives at the fault line r, t r,c represents the time required for the maintenance team to repair the faulty line r, y r,cA binary variable indicating whether the maintenance team c passes through the fault line r, and D represents the set of maintenance centers and fault lines.

[0102] Furthermore, we introduce the binary variable h r,t represents the period of time when the line fault r is repaired. If the faulty line r is repaired in period t, then h r,t The value is 1, otherwise the value is 0. The formula for the fault repair completion period constraint is as follows:

[0103]

[0104] Among them, ε is a small constant, τ r It represents the repair completion time of line r, T represents the scheduling period, t represents the tth time period, r represents the faulty line, and D represents the set of maintenance centers and faulty lines.

[0105] Furthermore, we introduce the binary variable q r,t represents the repair status of the faulty line r. If the faulty line r has been repaired in period t, then q r,t The value is 1, otherwise it is 0. The formula for the fault repair state constraint is as follows:

[0106]

[0107] Among them, q r,t represents the repair status of the fault line r, t represents the tth time period, m represents the mth time period, T represents the scheduling period, and h r,m Indicates the repair completion status of the faulty line r in time period m.

[0108] S3: Based on the outputs of the transmission system disaster response model and the transmission system post-disaster recovery model, calculate the post-disaster response and recovery efficiency of the line, evaluate the resilience of the transmission system under wildfire disasters, and adjust and improve the emergency response strategy.

[0109] Specifically, the output of the disaster response model is used to calculate the load reduction and duration of the system during the disaster. According to the output of the post-disaster recovery model, the repair completion time and total repair time of each faulty line are calculated. Taking into account factors such as the degree of load reduction and recovery time, an evaluation index for line response and recovery efficiency is established.

[0110] Furthermore, system resilience indicators are defined, such as the time required for the system to return to normal operating status, the energy loss during the recovery process, etc. Based on the results of the disaster response and post-disaster recovery models, the system resilience indicators are calculated, the system resilience performance under different fault scenarios is analyzed, and the weak links of the system are identified.

[0111] Furthermore, based on the results of the resilience assessment, identify key areas that need improvement, such as the reinforcement of specific lines, the configuration of backup power supplies for key loads, etc., optimize the allocation of maintenance resources, such as increasing the number of maintenance teams, improving maintenance equipment, etc., to improve repair efficiency, and improve load reduction strategies to minimize the overall impact of the system while ensuring the power supply of key loads. Develop targeted preventive measures, such as strengthening line inspections in high-risk areas and improving wildfire early warning systems.

[0112] Example 2

[0113] Reference Figure 1-2 , which is an embodiment of the present invention, provides a disaster response and recovery system for a power transmission system under a wildfire disaster, comprising:

[0114] The first model building module is used to collect power system data and real-time monitoring data, and build a transmission system disaster response model with the goal of minimizing load reduction;

[0115] The second model building module is used to collect fault line data and maintenance resource data, and to build a power transmission system post-disaster recovery model with the goal of minimizing the total repair time of all fault lines. The collected fault line data, maintenance resource data, and the output of the power transmission system disaster response model are input into the power transmission system post-disaster recovery model;

[0116] The calculation module is used to calculate the post-disaster response and recovery efficiency of the line based on the output of the transmission system disaster response model and the transmission system post-disaster recovery model, evaluate the resilience of the transmission system under wildfire disasters, and adjust and improve the emergency response strategy.

[0117] Regarding the specific definition of the disaster response and recovery system of the power transmission system under wildfire disasters, please refer to the definition of the disaster response and recovery method of the power transmission system under wildfire disasters in the above text, which will not be repeated here. Each module in the above-mentioned disaster response and recovery system of the power transmission system under wildfire disasters can be implemented in whole or in part through software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0118] Example 3

[0119] Reference Figure 3 , which is the third embodiment of the present invention. Based on the first two embodiments, the embodiment of the present invention provides a computer device, which may be a server, and its internal structure diagram may be as shown in FIG. Figure 3As shown. The computer device includes a processor, a memory and a network interface connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium.

[0120] The database of the computer device is used to store action detection data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in any of the above-mentioned sparse tensor operation acceleration method embodiments are implemented.

[0121] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0122] In one embodiment, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in any of the above-mentioned sparse tensor operation acceleration method embodiments are implemented.

[0123] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0124] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for disaster response and recovery of a power transmission system under a wildfire disaster, characterized in that: include: Collect power system data and real-time monitoring data to build a transmission system disaster response model with the goal of minimizing load reduction; Collect fault line data and maintenance resource data, build a power transmission system post-disaster recovery model with the goal of minimizing the total repair time of all fault lines, and input the collected fault line data, maintenance resource data and the output of the power transmission system disaster response model into the power transmission system post-disaster recovery model; Based on the outputs of the transmission system disaster response model and the transmission system post-disaster recovery model, the post-disaster response and recovery efficiency of the line is calculated, the resilience of the transmission system under wildfire disasters is evaluated, and the emergency response strategy is adjusted and improved.

2. The method for disaster response and recovery of a power transmission system under a wildfire disaster as claimed in claim 1, characterized in that: The collected power system data and real-time monitoring data include generator output, load demand, line transmission capacity, fault lines during wildfire disasters, tripping information, and load reduction.

3. The method for disaster response and recovery of a power transmission system under a wildfire disaster as claimed in claim 2, characterized in that: The transmission system disaster response model is constructed with the goal of minimizing load reduction, including: Under extreme wildfire disasters, multiple lines in the transmission system fail and trip, and the static safety conditions of the system need to be met by rescheduling generator output and reducing load. The objective function and constraints of the transmission system disaster response model are as follows: The objective function for minimizing load reduction is as follows: The system power balance formula is as follows: The generator output range formula is as follows: 0≤p g i,t ≤p g,max i The load shedding limit formula is as follows: 0≤p cur j,t ≤p d j,t The transmission capacity constraints are as follows: Where T represents the scheduling period, t represents the tth time period, and N d represents the number of loads, j represents the jth load, p cur j,t represents the load shedding power of load j in time period t, N g represents the number of units, i represents the i-th unit, p g i,t represents the output of unit i in period t, p d j,t represents the load power of load j in time period t, p g,max i represents the maximum technical output of unit i, H l，i and H l，j They represent the power transfer distribution factors of unit i and load j on line l, respectively, l Indicates the maximum transmission capacity of line l.

4. The method for disaster response and recovery of a power transmission system under a wildfire disaster as claimed in claim 3, characterized in that: The collected fault line data and maintenance resource data include the location of the fault line, the number of fault lines, the damage degree of the fault line, the number of maintenance teams, maintenance equipment and personnel configuration, and maintenance paths.

5. The method for disaster response and recovery of a power transmission system under a wildfire disaster as claimed in claim 4, characterized in that: The goal of minimizing the total repair time of all faulty lines is to construct a post-disaster recovery model for the power transmission system, including: Establish the objective function of minimizing the total repair time to minimize the total repair time of all faulty lines; Determine the optimal path for the maintenance team and plan the route from the maintenance center to each fault line; Allocate maintenance tasks to ensure that all faulty lines are repaired only once; Calculate the arrival time and repair time of the maintenance team so that the arrival time and repair time of the maintenance team meet the time constraints in the maintenance process.

6. The method for disaster response and recovery of a power transmission system under a wildfire disaster as claimed in claim 5, characterized in that: The objective function of minimizing the total repair time is as follows: min∑ r∈D\{0} t r Where D represents the set of maintenance centers and faulty lines, τ r Indicates the repair completion time of line r; After the maintenance team c completes the repair of a line, it will go to the next faulty line and needs to satisfy the following formula: ∑ s∈D\{r} x r,s,c -∑ s∈D\{r} x s,r,c =0,r∈D,c∈C Among them, x r,s,c and x s,r,c Both represent maintenance personnel scheduling path decision variables, x r,s,c It means that when the maintenance team c arrives at the faulty line s from the faulty line r, the variable x r,s,c The value is 1, otherwise it is 0; when the maintenance team c returns to the faulty line r from the faulty line s, the variable x s,r,c The value is 1, otherwise the value is 0. C represents the set of maintenance teams, and D represents the set of maintenance centers and faulty lines. The planned route from the maintenance center to each fault line includes that the maintenance team c must start from the maintenance center and return to the maintenance center after completing all maintenance tasks. The expression of the maintenance team route constraint is as follows: n crew =∑ c∈C ∑ r∈D\{0} x 0,r,c -∑ c∈C ∑ r∈D\{0} x r,0,c Among them, n crew represents the number of maintenance teams, c represents the index of the maintenance team, C represents the set of maintenance teams, D represents the set of maintenance centers and faulty lines, r represents the rth faulty line, x 0,r,c It means that when the maintenance team c arrives at the fault line r from the maintenance center, x 0,r,c The value is 1, otherwise it is 0. r,0,c It means that when the maintenance team c returns to the maintenance center from the fault line r, x r,0,c The value is 1, otherwise the value is 0; Let y r,c A binary variable indicating whether the maintenance team c passes through the fault line r. If so, the value is 1, otherwise, the value is 0. r,c Satisfies the following formula: and r,c =∑ s∈D\{r} x r,s,c ,r∈D,c∈C Among them, y r,c A binary variable indicating whether the maintenance team c passes through the fault line r. s and r both represent fault lines, c represents the index of the maintenance team, C represents the set of maintenance teams, and D represents the set of maintenance centers and fault lines.

7. The method for disaster response and recovery of a power transmission system under a wildfire disaster as claimed in claim 6, characterized in that: The maintenance tasks are allocated so that all faulty lines are repaired only once; the arrival time and repair time of the maintenance team are calculated so that the time constraints in the maintenance process meet the following conditions: All faulty lines only need to be repaired once during the maintenance process. The constraint that the line only needs to be repaired once is: ∑ c∈C and r,c =1,r∈D\{0} Among them, c represents the index of the maintenance team, C represents the set of maintenance teams, and y r,c A binary variable indicating whether the maintenance team c passes through the fault line r, where r represents the fault line and D represents the set of maintenance centers and fault lines; Assume that the time required for the maintenance team to repair the faulty line r is t r,c The time it takes for maintenance team c to travel from point r to point s is t rou r,s,c , the time for the maintenance team c to arrive at the fault line r is T r,c , then the time T for the maintenance team c to arrive at the next fault line s is s,c Satisfies the following formula: T r,c -T s,c +t r,c +t rou r,s,c ≤M(1-x r,s,c ) Where M represents the upper bound constant, t init Indicates the maintenance team preparation time, t r,c represents the time required for the maintenance team to repair the faulty line r, t rou r,s,c represents the time it takes for maintenance team c to travel from point r to point s, T r,c represents the time it takes for the maintenance team c to arrive at the fault line r, T s,c represents the time for the maintenance team c to arrive at the next fault line s, y r,c A binary variable indicating whether the maintenance team c passes through the fault line r, D represents the set of maintenance centers and fault lines, T 0,c The starting time of maintenance team c; The formula for the repair time of the fault line r is as follows: τ r ≥∑ c∈C (T r,c +t r,c y r,c ),r∈D\{0} Among them, τ r represents the repair completion time of line r, c represents the index of the maintenance team, C represents the set of maintenance teams, T r,c represents the time when the maintenance team c arrives at the fault line r, t r,c represents the time required for the maintenance team to repair the faulty line r, y r,c A binary variable indicating whether the maintenance team c passes through the fault line r, and D represents the set of maintenance centers and fault lines; Introduce binary variable h r,t represents the period of time when the line fault r is repaired. If the faulty line r is repaired in period t, then h r,t The value is 1, otherwise the value is 0. The formula for the fault repair completion period constraint is as follows: Among them, ε is a small constant, τ r represents the repair completion time of line r, T represents the scheduling period, t represents the tth time period, r represents the faulty line, and D represents the set of maintenance centers and faulty lines; Introducing binary variable q r,t represents the repair status of the faulty line r. If the faulty line r has been repaired in period t, then q r,t The value is 1, otherwise it is 0. The formula for the fault repair state constraint is as follows: Among them, q r,t represents the repair status of the fault line r, t represents the tth time period, m represents the mth time period, T represents the scheduling period, and h r,m Indicates the repair completion status of the faulty line r in time period m.

8. A system using the method for disaster response and recovery of a power transmission system under a wildfire disaster as claimed in any one of claims 1 to 7, characterized in that: include: The first model building module is used to collect power system data and real-time monitoring data, and build a transmission system disaster response model with the goal of minimizing load reduction; The second model building module is used to collect fault line data and maintenance resource data, and to build a power transmission system post-disaster recovery model with the goal of minimizing the total repair time of all fault lines. The collected fault line data, maintenance resource data, and the output of the power transmission system disaster response model are input into the power transmission system post-disaster recovery model; The calculation module is used to calculate the post-disaster response and recovery efficiency of the line based on the output of the transmission system disaster response model and the transmission system post-disaster recovery model, evaluate the resilience of the transmission system under wildfire disasters, and adjust and improve the emergency response strategy.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for disaster response and recovery of a power transmission system under a wildfire disaster according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for disaster response and recovery of a power transmission system under a wildfire disaster according to any one of claims 1 to 7 are implemented.

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