Power distribution network fault evolution method and system based on typhoon refined mobile modeling

Abstract

The invention discloses a power distribution network fault evolution method and system based on typhoon refined mobile modeling, and relates to the technical field of power systems. Comprising the steps of establishing a typhoon refined mobile model; calculating the disaster-caused fault probability of system elements based on the typhoon refined mobile model; generating a power distribution network fault scene and performing load flow calculation; and updating a system fault state based on a load flow calculation result to obtain a power distribution network fault evolution chain. According to the method, the typhoon refined mobile model is established, and the resolution is dynamically adjusted based on the position relation between the wind speed wind circle and the system load center, so that the model can be suitable for a small-scale power distribution network and also can consider the calculation efficiency; by defining a load center and a power grid span and combining with a step resolution in typhoon path simulation, fault evolution of a power grid in a typhoon scene is close to a real situation; by improving a method for calculating faults caused by physical impact of disasters, the damage probability of the element is calculated more accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and particularly to a method and system for fault evolution of a distribution network based on refined typhoon movement modeling. Background Art

[0002] The resilience of a power system refers to the ability of the power system to maintain operation and recover under extreme disaster scenarios. Extreme weather, such as typhoons, is one type of extreme disaster. With the frequent occurrence of various extreme meteorological disasters, the analysis of the resilience of the power grid has gradually become a research hotspot. How to describe the process of disasters damaging the power grid is an urgent problem to be solved. Taking the typhoon scenario as an example, currently, the path evolution of typhoons often adopts a fixed time step. Due to the large time scale of typhoons, usually one hour is regarded as an instant, and the physical impact of disasters is calculated every hour, and then the fault evolution process of the system under typhoon disasters is obtained.

[0003] When the above method is applied to a small-scale urban distribution network, due to the too fast moving speed of the typhoon and the spatial scale being much larger than the system, the time interval is too large, resulting in missing the time point when the typhoon wind circle has the greatest impact on the system, and it is difficult to accurately describe the disaster process. At the same time, if the time interval is reduced in a fixed proportion, the operation efficiency will be reduced.

[0004] This patent proposes a method for fault evolution of a distribution network based on refined typhoon movement modeling for urban distribution networks, which can be used for the resilience assessment of the distribution network, more accurately describe the disaster process, and then obtain a reasonable assessment result. Summary of the Invention

[0005] In view of the problems existing in the prior art, the present invention is proposed.

[0006] Therefore, the problems to be solved by the present invention are how to change the time step according to the distance between the typhoon and the power grid, while taking into account the model accuracy and calculation efficiency. Secondly, for the case of variable time steps, the system response model is improved. When simultaneously evolving disaster-induced faults and cascading faults, in order to consider the damage of disaster impacts on components, a line fault judgment method based on damage accumulation is proposed as the basis for judging component faults.

[0007] To solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, an embodiment of the present invention provides a method for fault evolution of a distribution network based on refined typhoon movement modeling, which includes establishing a refined typhoon movement model;

[0009] Calculating the probability of disaster-induced faults of system components based on the refined typhoon movement model;

[0010] Generating a fault scenario of the distribution network and performing power flow calculation;

[0011] Update the system fault status based on the power flow calculation results to obtain the fault evolution chain of the distribution network.

[0012] As a preferred solution of the distribution network fault evolution method based on typhoon refined movement modeling of the present invention, wherein: the establishment of the typhoon refined movement model includes the modeling of the typhoon wind field, the definition of the load center and the grid span, and the definition of the step resolution in the typhoon path simulation.

[0013] As a preferred solution of the distribution network fault evolution method based on typhoon refined movement modeling of the present invention, wherein: for a power grid with n nodes, the definition of the load center and the grid span is:

[0014]

[0015] wherein, (x,y) is the coordinate of the system load center; D is the system span; (x i ,y i ) is the coordinate of the i-th node in the system; n is the total number of nodes in the system; Load i is the load of the i-th node.

[0016] As a preferred solution of the distribution network fault evolution method based on typhoon refined movement modeling of the present invention, wherein: the definition of the step resolution in the typhoon path simulation is:

[0017]

[0018] t′ = τt 0

[0019] wherein, m is the upper limit of the resolution set by humans, used to determine the maximum accuracy of the scenario; t′ is the corrected time step, t 0 is the original time step, with the unit of hour, res is the resolution, and τ is the time correction coefficient of the typhoon evolution time step.

[0020] As a preferred solution of the distribution network fault evolution method based on typhoon refined movement modeling of the present invention, wherein: the calculation formula of the disaster-caused fault probability is:

[0021]

[0022] W 0 (t + 1) = W 0 (t) - τkW L / T (t)

[0023] wherein, W L / T (t) is the impact of the typhoon on the component, and W 0 (t) is the time-varying component strength considering component damage.

[0024] As a preferred solution of the distribution network fault evolution method based on refined typhoon movement modeling of the present invention, wherein: the refined typhoon movement modeling further includes:

[0025] Calculating the initial wind field;

[0026] Dynamically adjusting the resolution based on the positional relationship between the wind speed and wind circle and the system load center;

[0027] Updating the wind field state according to the adjusted resolution;

[0028] Monitoring the typhoon influence state, when the typhoon influence has not ended, continue to perform wind field calculation and resolution adjustment, and when the typhoon influence ends, output the typhoon path.

[0029] As a preferred solution of the distribution network fault evolution method based on refined typhoon movement modeling of the present invention, wherein: the dynamic adjustment of the resolution includes: when the maximum wind circle radius R of the typhoon max is known, the distance D from the typhoon center to the load center r can be used as a criterion. When |D r -R max |≤D, it is considered that the maximum wind speed wind circle of the typhoon begins to approach the system, and when |D r -R max |≥D, it is considered that the maximum wind speed wind circle of the typhoon has moved away from the system.

[0030] In a second aspect, an embodiment of the present invention provides a distribution network fault evolution system based on refined typhoon movement modeling, which includes a modeling module, a fault probability module, and an evolution module;

[0031] The modeling module is used to establish a refined typhoon movement model, including calculating the wind field, dynamically adjusting the resolution based on the positional relationship between the wind speed and wind circle and the system load center, updating the wind field state, and monitoring the typhoon influence state;

[0032] The fault probability module is used to calculate the disaster-caused fault probability of system components and generate a distribution network fault scenario;

[0033] The evolution module is used to perform power flow calculation according to the distribution network fault scenario and update the system fault state based on the power flow calculation result to obtain a distribution network fault evolution chain.

[0034] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, and the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the distribution network fault evolution method based on refined typhoon movement modeling in the first aspect of the present invention are implemented.

[0035] Fourthly, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where: when the computer program instructions are executed by a processor, the steps of the distribution network fault evolution method based on typhoon refined movement modeling according to the first aspect of the present invention are implemented.

[0036] The beneficial effects of the present invention are as follows: The distribution network fault evolution method based on typhoon refined movement modeling provided by the present invention dynamically adjusts the resolution based on the position relationship between the wind speed and wind circle and the system load center by establishing a typhoon refined movement model, enabling the model to be applicable to both small-scale distribution networks and taking into account the calculation efficiency, and improving the simulation accuracy of the typhoon path; by defining the load center and the grid span, and combining the step resolution in the typhoon path simulation, a model of the typhoon strong wind causing damage to the power grid is established, which has the characteristics of high precision and high efficiency, making the fault evolution of the power grid under the typhoon scenario closer to the real situation; by improving the calculation method of component failures caused by physical impacts of disasters and taking into account the damage of disasters to components during the evolution process, the calculation of the damage probability of components is more accurate, which can better predict and evaluate the impact of typhoons on the distribution network and provide a more reliable basis for power grid disaster prevention and mitigation. Description of the Drawings

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0038] Figure 1 It is the flowchart of the power system fault evolution in the typhoon scenario for the distribution network fault evolution method based on typhoon refined movement modeling;

[0039] Figure 2 It is the flowchart of the typhoon refined movement modeling for the distribution network fault evolution method based on typhoon refined movement modeling. Detailed Embodiments

[0040] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the detailed embodiments of the present invention in conjunction with the drawings of the specification.

[0041] Many specific details are set forth in the following description in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0042] Secondly, the "one embodiment" or "embodiment" referred to herein means a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The "in one embodiment" that appears in different places in this specification does not all refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments.

[0043] Embodiment 1

[0044] Referring to Figures 1 to 2 , which is the first embodiment of the present invention. This embodiment provides a method for the fault evolution of a distribution network based on the refined typhoon movement modeling, including:

[0045] S1. Establish a refined typhoon movement model;

[0046] In the embodiment of the present application, the establishment of the refined typhoon movement model includes the modeling of the typhoon wind field, the definition of the load center and the grid span, and the definition of the step resolution in the typhoon path simulation.

[0047] Furthermore, for a power grid with n nodes, the definition of the load center and the grid span is:

[0048]

[0049] Among them, (x, y) is the coordinate of the system load center; D is the system span; (x i , y i ) is the coordinate of the i-th node in the system; n is the total number of nodes in the system; Load i is the load of the i-th node.

[0050] Furthermore, the definition of the step resolution in the typhoon path simulation is:

[0051]

[0052] t′ = τt 0

[0053] Among them, m is the upper limit of the resolution set by humans, which is used to determine the maximum accuracy of the scenario; t′ is the corrected time step, t 0 is the original time step, with the unit of hour, res is the resolution, and τ is the time correction coefficient of the typhoon evolution time step.

[0054] It should be noted that the load center coordinates and the system span are key parameters characterizing the geographical relationship between the power grid and the typhoon. The load center is determined by the load quantity and location of the load nodes, and the span is determined by the distance between the load center and the farthest node. The step resolution changes with the above geographical relationship and is used to determine the fineness of the typhoon movement path. This variable step design not only ensures the simulation accuracy but also improves the calculation efficiency.

[0055] It should be noted that the specific implementation steps of typhoon refined movement modeling are as follows: First, input typhoon data and calculate the typhoon wind field at the current moment; then, based on the wind field data, determine whether the maximum wind speed circle of the typhoon is close to the system load center. If it is close, increase the resolution, res = res + 1, advance the time according to the resolution, and update the wind field state. If it is not close enough, further determine whether the resolution res is greater than 1; when the resolution is greater than 1, update the wind field state using a fixed time step, otherwise reduce the resolution, res = res - 1, then advance the time according to the resolution and update the wind field state; finally, advance the time according to the resolution res and update the typhoon wind field state, continuously monitor whether the typhoon has ended. If the typhoon has not ended, continue to perform wind field calculation and resolution res adjustment. If the typhoon has ended, output the complete typhoon path. This method of dynamically adjusting the resolution not only ensures the calculation accuracy but also improves the calculation efficiency.

[0056] S2. Calculate the disaster-caused failure probability of system components based on the typhoon refined movement model;

[0057] In the embodiment of the present application, in the calculation method of the component disaster-caused failure probability, it is assumed that the component strength W 0 obeys a normal distribution with a mean of μ p , a standard deviation of δ, and the strength at each moment is affected by the impacts and their durations at all previous moments. Then the probability of component failure at each moment is:

[0058]

[0059] W 0 (t + 1) = W 0 (t) - τkW L / T (t)

[0060] where W L / T (t) is the impact of the typhoon on the component, and W 0 (t) is the time-varying component strength considering component damage.

[0061] It should be noted that this failure probability calculation method takes into account the cumulative damage effect of the typhoon on the component and is more in line with the actual situation. By introducing the time correction coefficient t, the impact strength can be adjusted according to different resolutions, making the calculation of the failure probability more accurate.

[0062] S3. Generate a distribution network fault scenario and perform power flow calculation;

[0063] In the embodiment of the present application, the typhoon refined movement modeling further includes:

[0064] Calculate the initial wind field;

[0065] Dynamically adjust the resolution based on the positional relationship between the typhoon's wind speed and wind circle and the system load center;

[0066] Update the wind field state according to the adjusted resolution;

[0067] Monitor the typhoon impact status. When the typhoon impact has not ended, continue to perform wind field calculation and resolution adjustment. When the typhoon impact ends, output the typhoon path.

[0068] Furthermore, the dynamic adjustment of the resolution includes: when the maximum wind circle radius R of the typhoon max is known, the distance D from the typhoon center to the load center r can be used as a criterion. When |D r -R max | ≤ D, it is considered that the maximum wind speed wind circle of the typhoon starts to approach the system. When |D r -R max | ≥ D, it is considered that the maximum wind speed wind circle of the typhoon has moved away from the system.

[0069] It should be noted that power flow calculation is carried out according to the power grid fault scenario, and the probability of cascading failures of system components is calculated based on the power flow over-limit probability.

[0070] It should also be noted that by dynamically adjusting the resolution, the calculation accuracy is improved when the typhoon impact is large, and the calculation burden is reduced when the typhoon impact is small, thus achieving a balance between accuracy and efficiency. At the same time, considering the possibility of cascading failures makes the fault evolution process more complete.

[0071] S4. Update the system fault state based on the power flow calculation results to obtain the distribution network fault evolution chain;

[0072] Furthermore, monitor the typhoon impact status. When the typhoon impact has not ended, continue to perform wind field calculation and resolution adjustment. When the typhoon impact ends, output the typhoon path and the final fault evolution chain.

[0073] It should be noted that the update of the system fault state is based on the power flow calculation results, comprehensively considering the impacts of disaster-caused faults and cascading failures.

[0074] It should also be noted that by continuously monitoring the typhoon impact status and updating the system fault state, the fault evolution process can be dynamically tracked, providing an important reference for the system's disaster prevention and mitigation. This method not only considers the direct damage of the typhoon to the power grid but also the possible cascading reactions within the system, making the fault evolution analysis more comprehensive and accurate.

[0075] Furthermore, this embodiment also provides a distribution network fault evolution system based on refined typhoon movement modeling, including a modeling module, a fault probability module, and an evolution module;

[0076] The modeling module is used to establish a refined typhoon movement model, including calculating the wind field, dynamically adjusting the resolution based on the positional relationship between the wind speed and wind circle and the system load center, updating the wind field state, and monitoring the typhoon influence state;

[0077] The fault probability module is used to calculate the disaster-caused fault probability of system components and generate a distribution network fault scenario;

[0078] The evolution module is used to perform power flow calculation according to the distribution network fault scenario, and update the system fault state based on the power flow calculation result to obtain a distribution network fault evolution chain.

[0079] This embodiment also provides a computer device applicable to the case of the distribution network fault evolution method based on refined typhoon movement modeling, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the distribution network fault evolution method based on refined typhoon movement modeling as proposed in the above embodiment.

[0080] This computer device can be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of this computer device is used to provide computing and control capabilities. The memory of this computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of this computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of this computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of this computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse, etc.

[0081] This embodiment also provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the distribution network fault evolution method based on refined typhoon movement modeling as proposed in the above embodiment.

[0082] In summary, the method for fault evolution of a distribution network based on refined typhoon movement modeling provided by the present invention establishes a refined typhoon movement model, dynamically adjusts the resolution based on the position relationship between the wind speed and wind circle and the system load center, enabling the model to be applicable to small-scale distribution networks while also taking into account computational efficiency and improving the simulation accuracy of typhoon paths; by defining the load center and the grid span, and combining the step resolution in typhoon path simulation, a model for the damage caused by typhoon strong winds to the power grid is established, which has the characteristics of high precision and high efficiency, making the fault evolution of the power grid under typhoon scenarios closer to the real situation; by improving the calculation method for component failures caused by physical impacts of disasters, taking into account the damage to components during the evolution process, the calculation of component damage probability is made more accurate, enabling better prediction and assessment of the impact of typhoons on the distribution network and providing a more reliable basis for power grid disaster prevention and mitigation.

[0083] Embodiment 2

[0084] This is the second embodiment of the present invention. This embodiment provides a method for fault evolution of a distribution network based on refined typhoon movement modeling. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0085] To verify the effectiveness of the method of the present invention, a 220 kV distribution network in a certain coastal city is selected as the research object. This distribution network contains 15 substation nodes with a total load of 450 MW. The experiment is carried out during the impact of Typhoon "Haikui", the 9th typhoon in 2023. The maximum wind speed of this typhoon is 45 m / s, and the maximum wind circle radius is 100 km. The traditional method uses a fixed time step of 1 hour for simulation, while the method of the present invention dynamically adjusts the time step according to the typhoon position.

[0086] First, according to the geographical locations and load data of the 15 nodes of the distribution network, the system load center coordinates are determined to be (119.52°E, 26.08°N) using the load center calculation formula. The system span D is calculated to be 12.5 km. The resolution upper limit m = 4 is set, the initial resolution res = 1, and the original time step t 0 = 1 hour. Data recording starts when the typhoon enters the monitoring range (300 km).

[0087] During the experiment, the distance D between the typhoon center and the load center is dynamically monitored r , when |D r -R max | ≤ D, the resolution is increased; when |D r -R max | ≥ D, the resolution is decreased. At the same time, the component strength parameters at each moment are recorded, and the initial component strength mean μ p= 100, the standard deviation σ = 10. The improved component damage accumulation model is used to calculate the failure probability, where the damage coefficient k = 0.15. For comparative analysis, the traditional fixed-step method is also used for simulation.

[0088]

[0089]

[0090] Through the analysis of experimental data, it can be concluded that the method of the present invention shows obvious advantages in multiple key indicators. First, in terms of computational efficiency, the average computational time of the method of the present invention is 2.8 seconds / step, which is 37.8% lower than 4.5 seconds / step of the fixed-step method A. Compared with the higher-precision fixed-step methods B and C, the advantage of computational time is more significant, reducing by 77.2% and 89.1% respectively. This efficiency improvement is mainly due to the dynamic resolution adjustment mechanism, which uses a larger time step when the typhoon is far from the distribution network and automatically improves the time accuracy during critical periods.

[0091] In terms of the accuracy of fault prediction, the method of the present invention reaches a high accuracy rate of 92.5%, which is 14.2 percentage points higher than the fixed-step method A and 6.9 percentage points higher than the fixed-step method B. Even compared with the fixed-step method C with the highest computational cost, it is still 3.3 percentage points higher. This result fully demonstrates the effectiveness of the component failure probability calculation model based on damage accumulation proposed by the present invention.

[0092] Particularly noteworthy is the key period capture rate index. The method of the present invention achieves an excellent performance of 95.3%, far exceeding other methods. This shows that the dynamic resolution adjustment mechanism can effectively identify and accurately simulate the periods when the typhoon has the most significant impact on the distribution network. At the same time, in terms of computational resource occupancy, the method of the present invention only requires 1.2 GB of memory, which is about one-tenth of the fixed-step method C. This efficient resource utilization characteristic makes this method particularly suitable for implementation on ordinary workstations.

[0093] The comparison of the minimum time step is also very illustrative. The method of the present invention can reduce the time step to 7.5 minutes when necessary, approaching the accuracy level of the fixed-step method C. However, due to the adoption of the dynamic adjustment strategy, it avoids maintaining such a small time step throughout the simulation process, thus significantly improving the computational efficiency while ensuring the accuracy. This flexibility enables the method of the present invention to achieve an optimal balance between accuracy and efficiency.

[0094] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A distribution network fault evolution method based on typhoon refined movement modeling, characterized by: include, Establish a detailed typhoon movement model; Calculating the probability of disaster-induced failure of system components based on the typhoon refined movement model; Generate distribution network fault scenarios and perform power flow calculations; The system fault status is updated based on the power flow calculation result to obtain the distribution network fault evolution chain.

2. The distribution network fault evolution method based on typhoon refined mobility modeling according to claim 1 is characterized by: The establishment of the typhoon refined movement model includes the modeling of the typhoon wind field, the definition of the load center and the power grid span, and the definition of the step resolution in the typhoon path simulation.

3. The distribution network fault evolution method based on typhoon refined mobility modeling as claimed in claim 2 is characterized by: For a power grid with n nodes, the load center and the power grid span are defined as: Where (x, y) is the coordinate of the system load center; D is the system span; (x i ,y i ) is the coordinate of node i in the system; n is the total number of nodes in the system; Load i is the load of the i-node.

4. The distribution network fault evolution method based on typhoon refined mobility modeling as claimed in claim 3 is characterized by: The step resolution in the typhoon path simulation is defined as: t′=τt0 Among them, m is the artificially set upper limit of resolution, which is used to determine the maximum accuracy of the scene; t′ is the corrected time step, t0 is the original step in hours, res is the resolution, and τ is the time correction coefficient of the typhoon evolution time step.

5. The distribution network fault evolution method based on typhoon refined movement modeling as claimed in claim 4 is characterized by: The calculation formula of the probability of disaster-induced failure is: W0(t+1)=W0(t)-τkW L / T (t) Among them, W L / T (t) is the impact of the typhoon on the component, and W0(t) is the time-varying component strength considering component damage.

6. The distribution network fault evolution method based on typhoon refined mobility modeling as claimed in claim 5, characterized in that: The typhoon refined movement modeling also includes: Calculate the initial wind field; Dynamically adjust the resolution based on the positional relationship between the wind speed circle and the system load center; Update the wind farm status according to the adjusted resolution; Monitor the typhoon impact status, continue to perform wind field calculation and resolution adjustment when the typhoon impact has not ended, and output the typhoon path when the typhoon impact has ended.

7. The distribution network fault evolution method based on typhoon refined movement modeling according to claim 6 is characterized by: The dynamic adjustment of the resolution includes: when the typhoon maximum wind circle radius R max When the distance D from the typhoon center to the load center is known r Can be used as a criterion, when |D r -R max When |≤D, it is considered that the typhoon's maximum wind speed circle begins to approach the system. r -R max |≥D, it is considered that the typhoon’s maximum wind speed circle has moved away from the system.

8. A distribution network fault evolution system based on typhoon refined mobile modeling, based on the distribution network fault evolution method based on typhoon refined mobile modeling according to any one of claims 1 to 7, characterized in that: It also includes, a modeling module, a failure probability module and an evolution module; The modeling module is used to establish a typhoon refined movement model, including calculating the wind field, dynamically adjusting the resolution based on the positional relationship between the wind speed circle and the system load center, updating the wind field status, and monitoring the typhoon impact status; The failure probability module is used to calculate the probability of disaster-induced failure of system components and generate distribution network failure scenarios; The evolution module is used to perform power flow calculation according to the distribution network fault scenario, and update the system fault state based on the power flow calculation result to obtain the distribution network fault evolution chain.

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 distribution network fault evolution method based on typhoon refined mobility modeling described in 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 distribution network fault evolution method based on typhoon refined mobility modeling described in any one of claims 1 to 7 are implemented.

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