Quantitative assessment method for failure risk of HVDC transmission lines under wildfire disasters

Abstract

The invention discloses a quantitative assessment method for the failure risk of a high-voltage direct current transmission line under a wildfire disaster, and relates to the technical field of power system stability analysis. The method comprises: obtaining the number of target fire points within the influence range of each transmission tower in each transmission branch according to information data of each transmission branch in the transmission line to be tested and historical fire point data; respectively calculating the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch according to the number of target fire points within the influence range of the transmission line to be tested and each transmission branch; calculating the failure probability of the transmission line to be tested under a wildfire disaster by using the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor; constructing an assessment index of the failure risk in the transmission line to be tested by using the failure probability and the target number of fire points in each transmission branch, and using the assessment index to assess the failure risk of the transmission line to be tested under a wildfire disaster, thereby realizing a rapid and accurate assessment of the failure risk of the high-voltage direct current transmission line under a wildfire disaster.

Description

Technical Field

[0001] The present invention relates to the technical field of power system stability analysis, and more specifically, to a quantitative assessment method for the failure risk of a high-voltage direct current transmission line under a wildfire disaster. Background Art

[0002] In recent years, wildfire disasters in my country have shown a high incidence trend. Inflammable vegetation covers a large area of ​​transmission line channels. The proportion of 500kV and above transmission lines in the five provinces under the jurisdiction of the Southern Power Grid in the high-incidence areas of wildfires exceeds 70%; because of this, the number of transmission line failures caused by wildfires is large and the density is high, which is enough to pose a great threat to the safe and stable operation of the power grid. At the same time, the high-voltage direct current transmission line with long transmission distance and high voltage level is an important hub connecting the new energy power generation base and the load center. Once a failure occurs, it has a serious adverse effect on the sending and receiving systems. The failure of the high-voltage direct current transmission line will lead to the obstruction of the direct current power transmission channel, affecting the transmission of new energy power at the sending end system and causing a series of problems such as load power loss at the receiving end system; the energy imbalance problem of the power system caused by the direct current line failure will further cause the voltage and frequency fluctuations of the power system and thus affect the safe and stable operation of the power system. Therefore, in the context of the increasingly severe wildfire disasters and the increasing number of high-voltage direct current transmission lines, it is of great significance to carry out quantitative evaluation research on the failure of high-voltage direct current transmission lines under wildfire disasters for the safe and stable operation of the power system. Summary of the invention

[0003] The purpose of the present invention is to provide a quantitative assessment method for the failure risk of a high-voltage direct current transmission line under a wildfire disaster, which can achieve a rapid and accurate assessment of the failure risk of a high-voltage direct current transmission line under a wildfire disaster.

[0004] The above technical objectives of the present invention are achieved through the following technical solutions:

[0005] In the first aspect, the present application provides a quantitative assessment method for the risk of high-voltage direct current transmission line failure under wildfire disasters, including the following specific steps:

[0006] According to the information data of each transmission branch in the transmission line to be tested and the historical fire point data, the number of target fire points within the influence range of each transmission tower in each transmission branch is obtained;

[0007] According to the number of target fire points within the influence range of the transmission line to be tested and each transmission branch, the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch are calculated respectively;

[0008] The failure probability of the transmission line under wildfire disaster is calculated by using the fire point number influencing factor, time-varying dynamic factor and insulation breakdown risk factor.

[0009] Through the probability of fault occurrence and the number of target fire points of each transmission branch, the fault risk assessment index in the transmission line to be tested is constructed, and the assessment index is used to assess the failure risk of the transmission line to be tested under the wildfire disaster.

[0010] Based on the above technical solution, the present invention can also be improved as follows.

[0011] Further, the information data of the transmission branch includes the latitude and longitude coordinates of each transmission tower in the transmission branch, and the historical fire point data includes the fire point coordinates and the fire point date; wherein: according to the information data and historical fire point data of each transmission branch in the transmission line to be tested, the number of target fire points within the influence range of each transmission tower in each transmission branch is obtained, specifically:

[0012] The information data of each transmission branch and the historical fire point data are imported into the ArcGIS platform, and the ArcGIS platform generates the buffer circle area of ​​each transmission tower;

[0013] The traversal algorithm of the spatial connection module in the ArcGIS platform was used to statistically obtain the number of target fire points within the buffer circle area on each date.

[0014] Furthermore, the above-mentioned fire point number influencing factor is specifically:

[0015]

[0016] Where N(k) represents the number of target fire points in the kth transmission branch of the transmission line to be tested, L k represents the kth transmission branch in the transmission line to be tested, represents the length of the kth transmission branch in the transmission line to be tested within the influence range of the i-th wildfire, and P0(k) represents the influence factor of the number of fire points in the kth transmission branch in the transmission line to be tested.

[0017] Furthermore, the above time-varying dynamic factors are specifically:

[0018]

[0019] In the formula, and They represent the number of target fire points within the influence range of two adjacent transmission towers in the kth transmission branch of the transmission line to be tested, and They represent the dynamic factors of the failure probability of two adjacent transmission towers in the kth transmission branch at time t, represents the time-varying dynamic factor at time t; among which, the dynamic factor of failure probability is specifically:

[0020]

[0021] Where P tower (t) represents the dynamic factor of failure probability at time t, D f (t) represents the real-time distance between the fire site formed by the spread of wildfire and the transmission tower, and D0 represents the safety distance set for the safety of the transmission tower.

[0022] Furthermore, the above insulation breakdown risk factors are specifically:

[0023]

[0024] In the formula, R t_f represents the insulation breakdown risk factor of the kth transmission branch in the transmission line to be tested, U represents the voltage level of the high-voltage direct current transmission branch; U g and U p They respectively represent the air gap withstand voltage of the HVDC transmission branch to ground and between phases under wildfire disasters.

[0025] Furthermore, the failure probability of the above-mentioned transmission line under test under the wildfire disaster is specifically:

[0026]

[0027] In the formula, represents the failure probability of the transmission line under test consisting of n transmission branches under wildfire disaster at time t, P0(k) represents the influence factor of the number of fire points in the kth transmission branch in the transmission line under test, represents the time-varying dynamic factor at time t, R t_f It represents the insulation breakdown risk factor of the kth transmission branch in the transmission line to be tested.

[0028] Furthermore, the above fault risk assessment indicators are specifically:

[0029]

[0030] In the formula, E S It represents a fault risk assessment index that is proportional to the probability of fault occurrence, and N represents the total number of target fire points in the transmission line to be tested.

[0031] In a second aspect, the present application provides a quantitative assessment system for the risk of high-voltage direct current transmission line failure under wildfire disasters, which is applied to the quantitative assessment method for the risk of high-voltage direct current transmission line failure under wildfire disasters in any one of the first aspects, including:

[0032] The first module is used to obtain the number of target fire points within the influence range of each transmission tower in each transmission branch according to the information data of each transmission branch in the transmission line to be tested and the historical fire point data;

[0033] The second module is used to calculate the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch according to the target fire point number within the influence range of the transmission line to be tested and each transmission branch;

[0034] The third module is used to calculate the failure probability of the transmission line under wildfire disaster by using the fire point number influencing factor, time-varying dynamic factor and insulation breakdown risk factor;

[0035] The fourth module is used to construct an evaluation index for the fault risk in the transmission line to be tested through the probability of fault occurrence and the number of target fire points in each transmission branch, and use the evaluation index to evaluate the fault risk of the transmission line to be tested under the wildfire disaster.

[0036] In a third aspect, the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods in the first aspect when executing the computer program.

[0037] In a fourth aspect, the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any one of the methods in the first aspect.

[0038] Compared with the prior art, the present invention has at least the following beneficial effects:

[0039] In this application, firstly, according to the information data and historical fire point data in the transmission line to be tested, with the help of ArcGIS platform, the traversal algorithm of the spatial connection module in the ArcGIS platform is used to statistically obtain the number of target fire points in the buffer circle area on each date; secondly, the number of target fire points within the influence range of each transmission branch is used to calculate the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch respectively; then, the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch are used to calculate the failure probability of the transmission line to be tested under the wildfire disaster; finally, the failure probability, the time-varying dynamic factor and the insulation breakdown risk factor of each transmission branch are used to calculate the failure probability of the transmission line to be tested under the wildfire disaster. The number of target fire points in the power branch is calculated, and the evaluation index of the fault risk in the transmission line to be tested is constructed, and the evaluation index is used to evaluate the fault risk of the transmission line to be tested under the wildfire disaster; avoid the situation where the energy imbalance problem of the power system caused by the DC line fault further causes the voltage and frequency fluctuations of the power system and thus affects the safe and stable operation of the power system. Under the background of increasingly severe wildfire disasters and the increasing number of high-voltage DC transmission lines being built and put into operation, the quantitative evaluation of the fault of the high-voltage DC transmission line under the wildfire disaster is of great significance to the safe and stable operation of the power system, and realizes the rapid and accurate evaluation of the fault risk of the high-voltage DC transmission line under the wildfire disaster. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings:

[0041] Figure 1 A schematic diagram of a quantitative evaluation process in an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of the statistics of the number of target fire points in an embodiment of the present invention;

[0043] Figure 3 is a calculation result of the failure probability of each high-voltage direct current transmission line in an embodiment of the present invention;

[0044] Figure 4 It is a regression analysis diagram of each high-voltage direct current transmission line in an embodiment of the present invention;

[0045] Figure 5 A method flow chart of an evaluation method in an embodiment of the present invention;

[0046] Figure 6 Schematic diagram of the connection of the evaluation system in the embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0048] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0049] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0050] In the description of the embodiments of the present invention, "plurality" means at least 2.

[0051] Embodiment 1:

[0052] This embodiment provides a quantitative assessment method for the risk of high-voltage direct current transmission line failure under wildfire disasters, such as Figure 1 and Figure 5 As shown, the specific steps include:

[0053] S1, according to the information data of each transmission branch in the transmission line to be tested and the historical fire point data, the number of target fire points within the influence range of each transmission tower in each transmission branch is obtained.

[0054] Among them, the traversal algorithm of the spatial connection module in the ArcGIS platform can be used to statistically obtain the number of target fire points within the buffer circle area on each date.

[0055] Optionally, the information data of the transmission branch includes the longitude and latitude coordinates of each transmission tower in the transmission branch, and the historical fire point data includes the fire point coordinates and the fire point date; wherein: according to the information data and historical fire point data of each transmission branch in the transmission line to be tested, the number of target fire points within the influence range of each transmission tower in each transmission branch is obtained, specifically:

[0056] Import the information data of each transmission branch and historical fire point data into the ArcGIS platform, such as Figure 2 As shown in Figure 2, the ArcGIS platform generates the buffer circle area of ​​each transmission tower, and then uses the traversal algorithm of the spatial connection module in the ArcGIS platform to statistically obtain the number of target fire points in the buffer circle area on each date. The calculation process of the traversal algorithm can be found in Figure 2 .

[0057] S2, according to the number of target fire points within the influence range of the transmission line to be tested and each transmission branch, the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch are calculated respectively.

[0058] Optionally, the above-mentioned fire point number influencing factor is specifically:

[0059]

[0060] Where N(k) represents the number of target fire points in the kth transmission branch of the transmission line to be tested, L k represents the kth transmission branch in the transmission line to be tested, represents the length of the kth transmission branch in the transmission line to be tested within the influence range of the i-th wildfire, and P0(k) represents the influence factor of the number of fire points in the kth transmission branch in the transmission line to be tested.

[0061] Optionally, the above time-varying dynamic factor is specifically:

[0062]

[0063] In the formula, and They represent the number of target fire points within the influence range of two adjacent transmission towers in the kth transmission branch of the transmission line to be tested, and They represent the dynamic factors of the failure probability of two adjacent transmission towers in the kth transmission branch at time t, represents the time-varying dynamic factor at time t; among which, the dynamic factor of failure probability is specifically:

[0064]

[0065] Where P tower (t) represents the dynamic factor of failure probability at time t, D f (t) represents the real-time distance between the fire site formed by the spread of wildfire and the transmission tower, and D0 represents the safety distance set for the safety of the transmission tower.

[0066] Optionally, the above insulation breakdown risk factor is specifically:

[0067]

[0068] In the formula, R t_f represents the insulation breakdown risk factor of the kth transmission branch in the transmission line to be tested, U represents the voltage level of the high-voltage direct current transmission branch; U g and U p They respectively represent the air gap withstand voltage of the HVDC transmission branch to ground and between phases under wildfire disasters.

[0069] S3, using the fire point number influencing factor, time-varying dynamic factor and insulation breakdown risk factor, calculate the failure probability of the transmission line under the wildfire disaster.

[0070] Optionally, the failure probability of the above-mentioned transmission line to be tested under a wildfire disaster is specifically:

[0071]

[0072] In the formula, represents the failure probability of the transmission line under test consisting of n transmission branches under wildfire disaster at time t, P0(k) represents the influence factor of the number of fire points in the kth transmission branch in the transmission line under test, represents the time-varying dynamic factor at time t, R t_f It represents the insulation breakdown risk factor of the kth transmission branch in the transmission line to be tested.

[0073] Specifically, taking the six HVDC transmission lines shown in Table 1 as an example, the failure probability of each HVDC transmission line is calculated on MATLAB and the effectiveness of the proposed evaluation indicators is verified. The longitude and latitude data of the wildfire coordinates in this example are from the MODIS dataset, and the wildfire point processing is based on the ArcGIS platform.

[0074] Table 1 Line information

[0075]

[0076] Among them, the failure probability calculation results of each high-voltage DC transmission line are as follows: Figure 3 As shown in the figure, for the Baihetan-Zhejiang 800kV DC line, Figure 3 As can be seen in (a), this high-voltage DC transmission line is severely affected by wildfire disasters, and there is a certain probability of failure in each month; the failure probability is higher in January, February, March, November and December. That is, the high-incidence period of failure for this high-voltage DC transmission line is early winter and early spring. The highest failure probability calculated by the model is about 0.09, which occurs in January. In these months, special precautions should be taken against wildfire disasters.

[0077] Specifically, for the Baihetan-Jiangsu 800kV high-voltage direct current transmission line, Figure 3 (b) shows that the high-voltage DC transmission line is also seriously affected by wildfire disasters, and there is a certain probability of failure in each month. Among them, the failure probability is higher in June, July, September, October and December, that is, the high-incidence period of failure for this high-voltage DC transmission line is summer and early winter. According to the model calculation, the highest failure probability is about 0.06 in October and December. In these months, special precautions should be taken against wildfire disasters.

[0078] Specifically, for the Deyang-Baoji 500kV high-voltage direct current transmission line, Figure 3 In (c), it can be seen that the high-voltage DC transmission line is less affected by wildfire disasters. Although there is a certain risk of failure, the probability of failure is sparsely distributed, that is, the DC transmission line operates stably without failure in most periods. Among them, the failure probability is higher in June, July, and August, that is, the high-incidence period for failures of this high-voltage DC transmission line is summer. At the same time, the failure probability in October, November, and December is 0, indicating that there is no risk of failure of Debao DC transmission line in the early winter months. According to the model calculation, the highest failure probability is about 0.06 in August. In these months, forest fire disasters should be given priority prevention.

[0079] Specifically, for the Fulong-Fengxian 800kV high-voltage DC transmission line, Figure 3(d) shows that the HVDC transmission line is most seriously affected by wildfire disasters, and the failure probability in each month is relatively high and dense. Among them, the failure probability is higher in March, April, May, June and September. That is, the high-incidence period of the HVDC transmission line is in the spring and summer seasons. According to the model calculation, the highest failure probability is about 0.15 in April. In these months, special precautions should be taken against wildfire disasters.

[0080] Specifically, for the Shuanglong-Jinhua 800kV high-voltage direct current transmission line, Figure 3 (e) shows that the HVDC transmission line is seriously affected by wildfire disasters, and the corresponding DC fault probability is high in each month. Among them, the fault probability is high in May, July, August, October and December, that is, the high-incidence period of faults for this HVDC transmission line is summer and early winter. According to the model calculation, the highest fault probability is about 0.1 in December. In these months, we should focus on preventing wildfire disasters.

[0081] Specifically, for the Yazhong-Poyang Lake 800kV high-voltage direct current transmission line, Figure 3 In (f), we can see that the HVDC transmission line is less affected by wildfire disasters, and the corresponding DC fault probability in each month is low. Among them, the fault probability is higher in May, July, August and November, that is, the high-incidence period of faults for this HVDC transmission line is summer and early winter. According to the model calculation, the highest fault probability is about 0.06 in May. In these months, we should focus on preventing wildfire disasters.

[0082] S4, constructs an evaluation index of the fault risk in the transmission line to be tested through the probability of fault occurrence and the number of target fire points of each transmission branch, and uses the evaluation index to evaluate the fault risk of the transmission line to be tested under the wildfire disaster.

[0083] Optionally, the above fault risk assessment indicators are specifically:

[0084] in:

[0085] In the formula, E S It represents a fault risk assessment index that is proportional to the probability of fault occurrence, and N represents the total number of target fire points in the transmission line to be tested.

[0086] Among them, considering that the failure probability of the kth transmission branch in the i-th long-distance high-voltage direct current transmission line under wildfire disaster is very small, that is, And for In x k →0(k=1…n) has 1- therefore It can be approximated as At the same time, for each transmission line at the same voltage level, that is, R t-f Equal and after the transient process of wildfire spread ends So it can be further simplified to At the same time, P0(k) of each transmission branch is basically equal, so Proportional to remember Therefore, the evaluation index is constructed Rapidly quantify the probability of failure of specific long-distance transmission lines.

[0087] Furthermore, the failure probability calculation results of each HVDC transmission line and the regression analysis results of the proposed evaluation index are shown in Figure 4 shown; from Figure 4 It can be seen that the evaluation indicators and failure probability of each HVDC transmission line basically all fall on the corresponding regression line, which shows that there is a strong linear correlation between the two, indicating that the proposed evaluation indicators can effectively calculate the failure probability and then quickly and accurately quantify the failure risk of HVDC transmission lines under wildfire disasters. Describe the linear correlation between the evaluation indicators and failure probability of each HVDC transmission line: Correlation index (R 2 ) and the residual sum of squares (SSE) are shown in Table 2.

[0088] Table 2 Correlation indicators of each line

[0089]

[0090] From Table 2, we can see that the correlation index (R 2 ) are all above 0.999, indicating that the two variables have a strong linear relationship, and the residual sum of squares (SSE) is extremely small at 10 -5 The smallest one is 5.2581×10 -6 , which shows that the proposed evaluation index can be used to effectively evaluate the failure probability of HVDC transmission lines under wildfire disasters.

[0091] Embodiment 2:

[0092] The present application embodiment provides a quantitative assessment system for the risk of high-voltage direct current transmission line failure under wildfire disasters, such as Figure 6 As shown, the quantitative assessment method for the risk of high-voltage direct current transmission line failure under a wildfire disaster applied to any one of the embodiments 1 includes:

[0093] The first module is used to obtain the number of target fire points within the influence range of each transmission tower in each transmission branch according to the information data of each transmission branch in the transmission line to be tested and the historical fire point data.

[0094] The second module is used to calculate the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch according to the target fire point number within the influence range of the transmission line to be tested and each transmission branch.

[0095] The third module is used to calculate the failure probability of the transmission line under test under wildfire disaster by using the fire point number influencing factor, time-varying dynamic factor and insulation breakdown risk factor.

[0096] The fourth module is used to construct an evaluation index for the fault risk in the transmission line to be tested through the probability of fault occurrence and the number of target fire points in each transmission branch, and use the evaluation index to evaluate the fault risk of the transmission line to be tested under the wildfire disaster.

[0097] Embodiment 3:

[0098] An embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any one of the methods in Embodiment 1 when executing the computer program.

[0099] Embodiment 4:

[0100] An embodiment of the present application provides a non-transitory computer-readable storage medium, which stores computer instructions, and the computer instructions enable a computer to execute any method in Example 1.

[0101] The above specific implementation methods further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A quantitative assessment method for the failure risk of high-voltage direct current transmission lines under wildfire disasters, characterized in that: The specific steps include: According to the information data and historical fire point data of each transmission branch in the transmission line to be tested, the number of target fire points within the influence range of each transmission tower in each of the transmission branches is obtained; According to the number of target fire points within the influence range of the transmission line to be tested and each of the transmission branches, the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each of the transmission branches are calculated respectively; the fire point number influence factor is specifically: Where N(k) represents the number of target fire points in the kth transmission branch of the transmission line to be tested, L k represents the kth transmission branch in the transmission line to be tested, represents the length of the k-th transmission branch in the transmission line to be tested within the influence range of the i-th wildfire, and P0(k) represents the influence factor of the number of fire points in the k-th transmission branch in the transmission line to be tested; The failure probability of the transmission line to be tested under a wildfire disaster is calculated by using the fire point number influence factor, the time-varying dynamic factor and the insulation breakdown risk factor; By using the fault occurrence probability and the target number of fire points of each of the transmission branches, a fault risk assessment index in the transmission line to be tested is constructed, and the fault risk of the transmission line to be tested under a wildfire disaster is assessed using the assessment index; the fault occurrence probability of the transmission line to be tested under a wildfire disaster is specifically: In the formula, represents the failure probability of the transmission line under test consisting of n transmission branches under wildfire disaster at time t, P0(k) represents the influence factor of the number of fire points in the kth transmission branch in the transmission line under test, represents the time-varying dynamic factor at time t, R t_f represents the insulation breakdown risk factor of the kth transmission branch in the transmission line to be tested; The fault risk assessment indicators are specifically: In the formula, E S It represents a fault risk assessment index that is proportional to the probability of fault occurrence, and N represents the total number of target fire points in the transmission line to be tested.

2. The quantitative assessment method for the failure risk of high-voltage direct current transmission lines under wildfire disasters according to claim 1 is characterized in that: The information data of the transmission branch includes the longitude and latitude coordinates of each transmission tower in the transmission branch, and the historical fire point data includes the fire point coordinates and the fire point date; wherein: the number of target fire points within the influence range of each transmission tower in each transmission branch is obtained according to the information data and historical fire point data of each transmission branch in the transmission line to be tested, specifically: Importing the information data and historical fire point data of each transmission branch into the ArcGIS platform, the ArcGIS platform generates a buffer circle area of ​​each transmission tower; The traversal algorithm of the spatial connection module in the ArcGIS platform was used to statistically obtain the number of target fire points within the buffer circle area on each date.

3. The quantitative assessment method for the failure risk of high-voltage direct current transmission lines under wildfire disasters according to claim 1 is characterized in that: The time-varying dynamic factor is specifically: In the formula, and They represent the number of target fire points within the influence range of two adjacent transmission towers in the kth transmission branch of the transmission line to be tested, and They represent the dynamic factors of the failure probability of two adjacent transmission towers in the kth transmission branch at time t, represents the time-varying dynamic factor at time t; wherein the fault probability dynamic factor is specifically: Where P tower (t) represents the dynamic factor of failure probability at time t, D f (t) represents the real-time distance between the fire site formed by the spread of wildfire and the transmission tower, and D0 represents the safety distance set for the safety of the transmission tower.

4. The quantitative assessment method for the failure risk of high-voltage direct current transmission lines under wildfire disasters according to claim 1 is characterized in that: The insulation breakdown risk factors are specifically: In the formula, R t_f represents the insulation breakdown risk factor of the kth transmission branch in the transmission line to be tested, U represents the voltage level of the high-voltage direct current transmission branch; U g and U p They respectively represent the air gap withstand voltage of the HVDC transmission branch to ground and between phases under wildfire disasters.

5. A quantitative assessment system for the risk of high-voltage direct current transmission line failure under wildfire disasters, applied to the quantitative assessment method for the risk of high-voltage direct current transmission line failure under wildfire disasters as claimed in any one of claims 1 to 4, characterized in that: include: The first module is used to obtain the number of target fire points within the influence range of each transmission tower in each transmission branch according to the information data and historical fire point data of each transmission branch in the transmission line to be tested; The second module is used to calculate the fire point number influence factor, time-varying dynamic factor and insulation breakdown risk factor of each transmission branch according to the number of target fire points within the influence range of the transmission line to be tested and each transmission branch; The third module is used to calculate the failure probability of the transmission line to be tested under the wildfire disaster by using the fire point number influence factor, the time-varying dynamic factor and the insulation breakdown risk factor; The fourth module is used to construct an evaluation index of the fault risk in the transmission line to be tested based on the fault occurrence probability and the target number of fire points of each transmission branch, and use the evaluation index to evaluate the failure risk of the transmission line to be tested under the wildfire disaster.

6. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the method according to any one of claims 1 to 4 is implemented when the processor executes the computer program.

7. A non-transitory computer-readable storage medium, characterized in that: The non-transitory computer-readable storage medium stores computer instructions, which enable a computer to execute the method of any one of claims 1-4.

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