Power transmission path planning method and device based on multi-factor evaluation and medium

Abstract

The invention provides a power transmission path planning method and device based on multi-factor evaluation and a medium. And acquiring an offshore equal division point and an onshore equal division point between the offshore wind power station gathering point and the onshore substation gathering point. Spatial cuboids are established between the offshore wind power station gathering point and the onshore substation gathering point, and the spatial cuboids comprise a first offshore spatial cuboid, a first onshore spatial cuboid, a second offshore spatial cuboid and a second onshore spatial cuboid. And establishing a target point array in the space cuboid, and obtaining a target advantage in the target point array. A refined space cuboid is established by taking a target advantage as a center. And establishing a local point array in the refined space cuboid, and obtaining an optimal point in the local point array. Taking an offshore wind power station gathering point as a starting point and taking a land transformer substation gathering point as an ending point; and connecting the offshore wind power station gathering point, the offshore optimal point, the onshore optimal point and the onshore transformer substation gathering point in sequence to form a power transmission path.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid planning, and particularly to a transmission line path planning method, device and medium based on multi-factor evaluation. Background Art

[0002] In modern society, the planning of transmission line paths needs to consider factors such as ecology, economy and environmental impact. However, independent modeling of each factor through various analysis methods will lead to the need to repeatedly adjust the results of each sub-model in the modeling process to meet the comprehensive requirements, thereby consuming a large amount of time and energy. Moreover, the obtained optimization results may be optimal only in a single field, but it is difficult to consider the global optimum. At the same time, this kind of transmission line path planning method often ignores the cross-field associations, which will generate additional operation and maintenance costs and affect the efficiency. Therefore, there is a technical problem that the existing transmission line path planning methods are difficult to plan a globally optimal transmission line path.

[0003] Therefore, it is necessary to provide a transmission line path planning method, device and medium based on multi-factor evaluation to solve the above technical problems. Summary of the Invention

[0004] The present invention provides a transmission line path planning method, device and medium based on multi-factor evaluation, which effectively solves the technical problem that the existing transmission line path planning methods are difficult to plan a globally optimal transmission line path.

[0005] A transmission line path planning method based on multi-factor evaluation, which includes the following steps,

[0006] S1: Obtain offshore equally divided points and onshore equally divided points between the offshore wind farm aggregation point and the onshore substation aggregation point;

[0007] S2: Establish a spatial cuboid between the offshore wind farm aggregation point and the onshore substation aggregation point; the spatial cuboid includes a first offshore spatial cuboid, a first onshore spatial cuboid, a plurality of second offshore spatial cuboids and a plurality of second onshore spatial cuboids;

[0008] The first offshore spatial cuboid is set at the position of the offshore wind farm aggregation point, the first onshore spatial cuboid is set at the position of the onshore substation aggregation point, and the plurality of second offshore spatial cuboids and the plurality of second onshore spatial cuboids are set between the offshore wind farm aggregation point and the onshore substation aggregation point;

[0009] S3: Establish an array of target points in the spatial cuboid, and obtain target advantages in the array of target points;

[0010] S4: Centering on the target advantages, establish a refined spatial cuboid, establish a local point array within the refined spatial cuboid, and obtain the optimal point at sea or on land in the local point array;

[0011] S5: Starting from the offshore wind farm aggregation point and ending at the onshore substation aggregation point, connect the offshore wind farm aggregation point, the optimal point at sea, the optimal point on land, and the onshore substation aggregation point in sequence to form a transmission path.

[0012] In the transmission path planning method based on multi-factor evaluation according to the present invention, obtaining the offshore equal division points and onshore equal division points between the offshore wind farm aggregation point and the onshore substation aggregation point includes,

[0013] S11: Set the connection line with the shortest distance between the offshore wind farm aggregation point and the onshore substation aggregation point as the sea-land connection line;

[0014] S12: Take the intersection point of the sea-land connection line and the coastline as the connection intersection point;

[0015] S13: Divide the shortest distance between the offshore wind farm aggregation point and the connection intersection point into N equal parts, and obtain multiple offshore equal division points after equal division; divide the shortest distance between the onshore substation aggregation point and the connection intersection point into M equal parts, and obtain multiple onshore equal division points after equal division.

[0016] In the transmission path planning method based on multi-factor evaluation according to the present invention, establishing a spatial cuboid between the offshore wind farm aggregation point and the onshore substation aggregation point includes,

[0017] S21: Centering on the offshore wind farm aggregation point, establish a first offshore spatial cuboid with the connection line between the offshore wind farm aggregation point and its adjacent offshore equal division point as the central axis;

[0018] S22: Centering on the onshore substation aggregation point, establish a first onshore spatial cuboid with the connection line between the onshore substation aggregation point and its adjacent onshore equal division point as the central axis;

[0019] S23: Obtain the optimal point at sea of the adjacent first offshore spatial cuboid or second offshore spatial cuboid. The optimal point at sea is between the offshore wind farm aggregation point and the connection intersection point. The optimal point at sea is the optimal point of the spatial cuboid adjacent to it in the direction close to the offshore wind farm aggregation point; the point where the optimal point at sea is projected onto the sea-land connection line is the offshore projection point. Centering on the offshore projection point, establish a second offshore spatial cuboid with the connection line between the offshore projection point and its second offshore equal division point in the direction close to the connection intersection point as the central axis;

[0020] S24: Obtain the onshore optimal point of the adjacent first onshore space cuboid or second onshore space cuboid. The onshore optimal point is between the onshore substation aggregation point and the connection intersection point. The onshore optimal point is the optimal point of the space cuboid adjacent in the direction close to the onshore substation aggregation point. The point where the onshore optimal point is projected onto the land-sea connection line is the onshore projection point. Taking the onshore projection point as the center and the line connecting the onshore projection point and the second onshore equal division point in the direction close to the connection intersection point as the central axis, establish a second onshore space cuboid.

[0021] In the transmission line path planning method based on multi-factor evaluation of the present invention, establish a target point array in the space cuboid, and obtain target advantages in the target point array, including,

[0022] S31: Ten points randomly selected in the space cuboid form a point array, and the number of the point arrays is five;

[0023] S32: Define the spatial distance between points in the point array as the point distance, and screen the five point arrays according to the point distance to screen out the target point array;

[0024] S33: Based on a preset weighted calculation formula, perform weighted calculation on the evaluation index data and the corresponding evaluation index weights of the points in the target point array to obtain the target advantages; wherein, the points in the target point array include at least one evaluation index data and at least one preset evaluation index weight. The evaluation index data includes seabed factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors. The evaluation index weights include the weight of ecological factors, the weight of environmental factors, the weight of geographical factors, the weight of cost factors, and the weight of operation and maintenance factors.

[0025] In the transmission line path planning method based on multi-factor evaluation of the present invention, define the spatial distance between points in the point array as the point distance, and screen the five point arrays according to the point distance to screen out the target point array, including,

[0026] S321: Take any point in the point array and define it as a reference point, calculate the point distance between the reference point and the other nine points in the point array, and screen out the minimum point distance. Moreover, obtain the minimum point distance of all points in the point array, and sum up the minimum point distances of all points in the point array to obtain the array point distance;

[0027] S322: Sort the array point distances of the five point arrays, and take the point array with the median array point distance as the target point array.

[0028] In the transmission line path planning method based on multi-factor evaluation according to the present invention, the weighted calculation of the evaluation index data and the corresponding evaluation index weights of the points in the target point array based on a preset weighted calculation formula includes:

[0029] S331: Since the evaluation index data of different points in the target point array are inconsistent, the evaluation index data of the points in the target point array are scored from 0 to 1.00, and the score of the ecological factor is X1, the score of the environmental factor is X2, the score of the geographical factor is X3, the score of the cost factor is X4, and the score of the operation and maintenance factor is X5;

[0030] S332: Since the influence of different evaluation index data on the same point in the target point array is different, weights are assigned to the evaluation index data of the points in the target point array, and the weight of the ecological factor is a1, the weight of the environmental factor is a2, the weight of the geographical factor is a3, the weight of the cost factor is a4, and the weight of the operation and maintenance factor is a5;

[0031] S333: Define the final score of the evaluation index data of the points in the target point array as Y, then the value of Y is: Y = α i X i (i = 1, 2, 3, 4, 5), and define the point with the highest score in the target point array as the target optimal point.

[0032] In the transmission line path planning method based on multi-factor evaluation according to the present invention, taking the target optimal point as the center, establishing a refined spatial cuboid, establishing a local point array in the refined spatial cuboid, and obtaining the optimal point at sea or on land in the local point array includes:

[0033] S41: Randomly select forty-nine points in the refined spatial cuboid, and the randomly selected forty-nine points and the target optimal point form a local point array;

[0034] S42: Based on a preset weighted calculation formula, perform weighted calculation on the evaluation index data and the corresponding evaluation index weights of the points in the local point array to obtain the optimal point; the evaluation index data includes seabed factor, environmental factor, geographical factor, cost factor, operation and maintenance factor; the evaluation index weights include the weight of the ecological factor, the weight of the environmental factor, the weight of the geographical factor, the weight of the cost factor, and the weight of the operation and maintenance factor.

[0035] In the transmission line path planning method based on multi-factor evaluation according to the present invention, the length of the first marine space cuboid is equal to the length of its central axis, the width of the first marine space cuboid is 5 times the length of its central axis, and the height of the first marine space cuboid is 5 times the length of its central axis; the length of the first land space cuboid is equal to the length of its central axis, the width of the first land space cuboid is 5 times the length of its central axis, and the height of the first land space cuboid is 5 times the length of its central axis;

[0036] The length of the second marine space cuboid is equal to the length of its central axis, the width of the second marine space cuboid is 5 times the length of its central axis, and the height of the second marine space cuboid is 5 times the length of its central axis; the length of the second land space cuboid is equal to the length of its central axis, the width of the second land space cuboid is 5 times the length of its central axis, and the height of the second land space cuboid is 5 times the length of its central axis;

[0037] The length of the refined space cuboid is equal to the length of the central axis of its corresponding space cuboid, the width of the refined space cuboid is 0.5 times the length of the central axis of its corresponding space cuboid, and the height of the refined cuboid is 0.5 times the length of the central axis of its corresponding space cuboid.

[0038] A transmission line path planning device based on multi-factor evaluation, which includes,

[0039] An equal division point acquisition module, configured to acquire marine equal division points and land equal division points between the marine wind farm set points and the land substation set points;

[0040] A space cuboid establishment module, configured to establish a space cuboid between the marine wind farm set points and the land substation set points; the space cuboid includes a first marine space cuboid, a first land space cuboid, a plurality of second marine space cuboids, and a plurality of second land space cuboids;

[0041] The first marine space cuboid is arranged at the position of the marine wind farm set point, the first land space cuboid is arranged at the position of the land substation set point, and a plurality of the second marine space cuboids and a plurality of the second land space cuboids are arranged between the marine wind farm set points and the land substation set points;

[0042] A target advantage acquisition module, configured to form an array of points by randomly selecting ten points in the space cuboid, the number of the arrays of points being five, screening out a target array of points from the five arrays of points, and acquiring a target advantage in the target array of points;

[0043] The optimal point acquisition module is used to establish a refined spatial cuboid centered on the target advantage, randomly select forty-nine points within the refined spatial cuboid, form a local point array with the randomly selected forty-nine points and the target advantage, and obtain the optimal point at sea or on land in the local point array;

[0044] The transmission circuit path planning module is used to connect the offshore wind farm collection point, the optimal point at sea, the optimal point on land, and the onshore substation collection point in sequence, starting from the offshore wind farm collection point and ending at the onshore substation collection point, to form a transmission circuit path.

[0045] A computer-readable storage medium stores a computer program thereon, and when the computer program is executed by a processor, the steps of the transmission circuit path planning method based on multi-factor evaluation described in any one of the above are implemented.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention provides a transmission circuit path planning method, device, and medium based on multi-factor evaluation, which includes the following method steps. Obtain the equally divided points at sea and on land between the offshore wind farm collection point and the onshore substation collection point. Establish a spatial cuboid between the offshore wind farm collection point and the onshore substation collection point, and the spatial cuboid includes a first offshore spatial cuboid, a first onshore spatial cuboid, a second offshore spatial cuboid, and a second onshore spatial cuboid. Establish a target point array within the spatial cuboid, and obtain the target advantage in the target point array. Establish a refined spatial cuboid centered on the target advantage. Establish a local point array within the refined spatial cuboid, and obtain the optimal point in the local point array. Starting from the offshore wind farm collection point and ending at the onshore substation collection point. Connect the offshore wind farm collection point, the optimal point at sea, the optimal point on land, and the onshore substation collection point in sequence to form a transmission circuit path.

[0047] In the above manner, the present invention connects the offshore wind farm aggregation point and the onshore substation aggregation point and evenly divides them. Based on this, a spatial position is constructed, and points are randomly selected within this spatial position, ensuring the rationality of the source of the point array. Moreover, the present invention comprehensively considers various factors, and scores and assigns weights to the points in the point array by collecting historical data, avoiding local sub-optimal traps and improving the accuracy of the results. Points are randomly selected within a spatial rectangular parallelepiped to form a point array, and the target array is calculated and screened according to the distances between the points in the point array. The maximum and minimum scores are taken from the target point array to obtain the target optimal points. Then, a refined spatial rectangular parallelepiped is constructed based on the target optimal points. A local point array is established within the refined spatial rectangular parallelepiped, and the optimal point is obtained from the local point array. This method effectively reduces the huge computational amount of traversal, is beneficial to improving the efficiency of transmission line path planning, and effectively improves the benefit of the transmission line path planning scheme. After finding the first offshore optimal point and the first onshore optimal point, the present invention reconstructs the spatial rectangular parallelepiped starting from the first offshore optimal point and the first onshore optimal point, and then repeatedly cycles through the steps of obtaining the first offshore optimal point and the first onshore optimal point to obtain all the offshore optimal points and onshore optimal points. This method is beneficial to ensuring the rationality of the transmission line path and effectively enhancing the sustainability of the transmission line path planning scheme. This method considers various factors in the process of transmission line path planning, and based on the evaluation of various factors, a globally optimal transmission line path is planned. Therefore, the present invention effectively solves the technical problem that it is difficult for existing transmission line path planning methods to plan a globally optimal transmission line path. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments. The drawings described below are only the corresponding drawings of some embodiments of the present invention.

[0049] Figure 1 It is a flowchart of an embodiment of the transmission line path planning method based on multi-factor evaluation of the present invention.

[0050] Figure 2 It is a schematic plan view of the offshore wind farm aggregation point and the onshore substation aggregation point of an embodiment of the transmission line path planning method based on multi-factor evaluation of the present invention.

[0051] Figure 3 It is a schematic structural view of the first offshore spatial rectangular parallelepiped of an embodiment of the transmission line path planning method based on multi-factor evaluation of the present invention.

[0052] Figure 4 It is a schematic structural view of the first onshore spatial rectangular parallelepiped of an embodiment of the transmission line path planning method based on multi-factor evaluation of the present invention.

[0053] Figure 5Schematic diagram of the optimal point on the sea surface to the plane for an embodiment of the transmission line path planning method based on multi-factor evaluation of the present invention.

[0054] Figure 6 Schematic diagram of the optimal point on the land to the plane for an embodiment of the transmission line path planning method based on multi-factor evaluation of the present invention.

[0055] Figure 7 Block diagram of an embodiment of the transmission line path planning device based on multi-factor evaluation of the present invention. Detailed implementation manners

[0056] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts fall within the protection scope of the present invention.

[0057] The directional terms mentioned in the present invention, such as "up", "down", "front", "back", "left", "right", "inside", "outside", "side", "top" and "bottom", etc., are only references to the orientation of the accompanying drawings. The directional terms used are for explaining and understanding the present invention, rather than for limiting the present invention.

[0058] The terms "first", "second", etc. in the present invention are only for descriptive purposes, and cannot be understood as indicating or implying relative importance, nor as a limitation on the sequence.

[0059] In the figure, units with similar structures are denoted by the same reference numerals.

[0060] Please refer to Figures 1 to 6 , the present invention provides a transmission line path planning method based on multi-factor evaluation. The transmission line path planning method based on multi-factor evaluation includes steps S1 to S5.

[0061] As Figure 1 and Figure 2 shown, step S1: Obtain equally divided points on the sea and equally divided points on the land between the offshore wind farm aggregation point and the onshore substation aggregation point. Among them, the offshore wind farm aggregation point is the P point in Figure 2 , and the onshore substation aggregation point is the Q point in Figure 2 . Specifically, this step S1 includes steps,

[0062] Step S11: Connect the offshore wind farm aggregation point and the onshore substation aggregation point. This connection line is the shortest distance between the offshore wind farm aggregation point and the onshore substation aggregation point, and this connection line is set as the sea-land connection line.

[0063] Step S12: Define the intersection point of the sea-land connection line and the coastline as the connection intersection point, and the connection intersection point is the Figure 2 point A in

[0064] Based on Figure 1 and Figure 2 , please combine with Figure 3 and Figure 5 . Step S13: Connect the offshore wind farm aggregation point and the connection intersection point. This connection line is the shortest distance between the offshore wind farm aggregation point and the connection intersection point. Divide this connection line into N equal parts and obtain multiple offshore equal division points after equal division. The number of offshore equal division points can be N. In the direction from the offshore wind farm aggregation point to the connection intersection point, the multiple offshore equal division points can be successively the offshore equal division point S1, the offshore equal division point S2... the offshore equal division point Sn. (Not shown in the figure) Among them, the offshore equal division point S1 and the offshore equal division point S2 are as Figure 5 shown.

[0065] Based on Figure 1 and Figure 2 , please combine with Figure 4 and Figure 6 . Connect the onshore substation aggregation point and the connection intersection point. This connection line is the shortest distance between the onshore substation aggregation point and the connection intersection point. Divide this connection line into M equal parts and obtain multiple onshore equal division points after equal division. The number of onshore equal division points can be M. In the direction from the onshore substation aggregation point to the connection intersection point, the multiple onshore equal division points can be successively the onshore equal division point T1, the onshore equal division point T2... the onshore equal division point Tm. (Not shown in the figure) Among them, the onshore equal division point T1 and the onshore equal division point T2 are as Figure 6 shown. The values of M and N can be equal, and the number of onshore equal division points can be the same as the number of offshore equal division points. The values of M and N can be unequal, and the number of onshore equal division points and the number of offshore equal division points can be different.

[0066] Please refer to Figure 3 , Step S2: Establish a spatial cuboid between the offshore wind farm aggregation point and the onshore substation aggregation point. The spatial cuboid can be a first offshore spatial cuboid, and the first offshore spatial cuboid is set at the position of the offshore wind farm aggregation point. The spatial cuboid can also be a first onshore spatial cuboid, and the first onshore spatial cuboid is set at the position of the onshore substation aggregation point. Specifically, this step S2 further includes the following steps,

[0067] Step S21: With the offshore wind farm aggregation point as the center and the connection line between the offshore wind farm aggregation point and its adjacent offshore equal division point as the central axis, establish a first offshore spatial cuboid. In this embodiment, as Figure 3As shown in the figure, a first marine space cuboid is established with the line connecting the collection point of the offshore wind power station and point S1 as the central axis. Moreover, the length of the first marine space cuboid is equal to the length of its central axis, the width of the first marine space cuboid is 5 times the length of its central axis, and the height of the first marine space cuboid is 5 times the length of its central axis.

[0068] Meanwhile, please refer to Figure 4 , and synchronously perform step S22: with the collection point of the onshore substation as the center, a first onshore space cuboid is established with the line connecting the collection point of the onshore substation and its adjacent equally divided point on land as the central axis. In this embodiment, as Figure 4 shown in the figure, a first marine space cuboid is established with the line connecting the collection point of the onshore substation and point T1 as the central axis. Moreover, the length of the first onshore space cuboid is equal to the length of its central axis, the width of the first onshore space cuboid is 5 times the length of its central axis, and the height of the first onshore space cuboid is 5 times the length of its central axis.

[0069] To obtain the optimal transmission path, the path optimal point should be found within the spatial position of the space cuboid. To obtain the point with the maximum benefit on the transmission path, the user needs to design an evaluation mechanism that comprehensively considers factors such as ecology, geography, and economy. Since traversing all points within this spatial position to find the optimal solution will greatly increase the computational amount, for the convenience of calculation and to ensure the rationality of the result, a method for solving the optimal point with global optimization and local optimization is proposed here.

[0070] Please refer to Figure 1 , Figure 3 and Figure 4 , step S3: Establish an array of target points within the space cuboid, and obtain the target optimal point from the array of target points. Specifically, step S3 includes the following steps,

[0071] Step S31: Randomly select ten points within the space cuboid to form an array of points, and the number of arrays of points is five. Among them, these ten points are any ten spatial position points within a space cuboid.

[0072] Step S32: Define the spatial distance between points within the array of points as the point distance, and screen the five arrays of points according to the point distance to obtain the array of target points. Specifically, step S32 includes the following steps,

[0073] Step S321: Select any point within the array of points and define it as a reference point, calculate the point distance between the reference point and the other nine points in the array of points, so as to screen out the minimum point distance. Moreover, obtain the minimum point distance of all points within the array of points, and sum up the minimum point distances of all points within the array of points. The value obtained from the summation is the array point distance.

[0074] Step S322: Sort the array point distances of the five-point array, and use the point array with the median array point distance as the target point array.

[0075] Step S33: Based on a preset weighted calculation formula, perform weighted calculation on the evaluation index data of the points in the target point array and the corresponding evaluation index weights, and the target advantages can be obtained. Among them, the points in the target point array include at least one evaluation index data and at least one preset evaluation index weight. The evaluation index data includes seabed factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors, and the evaluation index weights include the weight of ecological factors, the weight of environmental factors, the weight of geographical factors, the weight of cost factors, and the weight of operation and maintenance factors.

[0076] Users can collect historical data, such as relevant data on seabed topography, geological conditions, obstacle information, ecological sensitive areas, hydrology and meteorology, biological activities, and maintenance and risks. It can be obtained from these relevant data that the evaluation index data of different points in the target point array are inconsistent. Moreover, the influence of different evaluation index data on the same point in the target point array is different. For example, when the transmission path passes through a marine protected area, the weight of ecological factors should be larger. When the offshore wind farm is located in a deep-sea remote area, the high-cost weight should be considered. When the seabed environment is complex, the weight of geological factors should be increased. When the transmission line is adjacent to a fishing activity area, the influence of environmental factors should be considered more. When the area is frequently affected by typhoons or extreme weather, the weight of operation and maintenance is larger.

[0077] Specifically, step S33 includes the following steps

[0078] Step S331: Based on the inconsistency of the evaluation index data of the points in the target point array, assign scores from 0 to 1.00 to the evaluation index data of the points in the target point array, and obtain the score of ecological factors as X1, the score of environmental factors as X2, the score of geographical factors as X3, the score of cost factors as X4, and the score of operation and maintenance factors as X5.

[0079] Step S332: Based on the difference in the influence of different evaluation index data on the same point in the target point array, assign weights to the evaluation index data of the points in the target point array, and obtain the weight of ecological factors as a1, the weight of environmental factors as a2, the weight of geographical factors as a3, the weight of cost factors as a4, and the weight of operation and maintenance factors as a5.

[0080] Step S333: Define the final score of the evaluation index data of the points in the target point array as Y, then the value of Y is: Y = α i X i (i = 1, 2, 3, 4, 5), and define the point with the highest score in the target point array as the target advantage.

[0081] Please refer to Figure 1 、 Figure 5 and Figure 6 In step S4, with the target advantage as the center, a refined spatial cuboid is established. A local point array is established within the refined spatial cuboid, and the optimal point at sea or on land is obtained from the local point array. The length of the refined spatial cuboid is equal to the length of the central axis of its corresponding spatial cuboid. The width of the refined spatial cuboid is 0.5 times the length of the central axis of its corresponding spatial cuboid, and the height of the refined cuboid is 0.5 times the length of the central axis of its corresponding spatial cuboid. Specifically, step S4 includes the following steps

[0082] Step S41: Randomly select forty-nine points within the refined spatial cuboid. The randomly selected forty-nine points and the target advantage form a local point array. Among them, the forty-nine points are any forty-nine spatial position points within a refined spatial cuboid

[0083] Step S42: Based on a preset weighted calculation formula, perform weighted calculation on the evaluation index data of the points within the local point array and the corresponding evaluation index weights to obtain the optimal point at sea or on land. The evaluation index data includes seabed factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors; the evaluation index weights include the weight of ecological factors, the weight of environmental factors, the weight of geographical factors, the weight of cost factors, and the weight of operation and maintenance factors

[0084] Moreover, this step S42 also includes the following specific steps

[0085] Based on the inconsistency of the evaluation index data of different points within the local point array, the evaluation index data of the points within the local point array is scored from 0 to 1.00, and the score for ecological factors is X1, the score for environmental factors is X2, the score for geographical factors is X3, the score for cost factors is X4, and the score for operation and maintenance factors is X5

[0086] Based on the difference in the influence of different evaluation index data on the same point within the local point array, weights are assigned to the evaluation index data of the points within the local point array, and the weight of ecological factors is a1, the weight of environmental factors is a2, the weight of geographical factors is a3, the weight of cost factors is a4, and the weight of operation and maintenance factors is a5

[0087] Define the final score of the evaluation index data of the points within the local point array as Y, then the value of Y is: Y = α i X i(i = 1, 2, 3, 4, 5), define the point with the highest score in the local point array as the optimal offshore point or the optimal onshore point. Based on the first offshore space cuboid and its corresponding refined space cuboid, and through the operations of step S3 and step S4, the first optimal offshore point can be obtained, and this first optimal offshore point is the Figure 5 point C1 in Figure 6 . Based on the first onshore space cuboid and its corresponding refined space cuboid, and through the operations of step S3 and step S4, the first optimal onshore point can be obtained, and this first optimal onshore point is the point D1 in

[0088] Furthermore, after obtaining the first optimal offshore point, the following steps can be carried out

[0089] Please refer to Figure 5 , step S23: The point obtained by projecting the optimal offshore point onto the sea-land connection line is the offshore projection point. In this embodiment, the first offshore projection point is the Figure 5 point S11 in Figure 5 . Taking the offshore projection point as the center and the line connecting the offshore projection point and the second offshore equal division point in the direction of its connection intersection as the central axis, establish a second offshore space cuboid. In this embodiment, as shown in Figure 5 , that is, establish a second offshore space cuboid with the line connecting point S11 and point S2 as the central axis. The length of the second offshore space cuboid is equal to the length of its central axis, the width of the second offshore space cuboid is 5 times the length of its central axis, and the height of the second offshore space cuboid is 5 times the length of its central axis.

[0090] Repeat step S3 and step S4, and thus a new optimal offshore point can be found within the second offshore space cuboid. Among them, the new optimal offshore point is the optimal point of the adjacent space cuboid in the direction close to the offshore wind farm aggregation point. By repeatedly cycling through step S23, S3, and S4 with this new optimal offshore point, multiple second offshore space cuboids can be obtained, and the multiple second offshore space cuboids are arranged between the offshore wind farm aggregation point and the connection intersection. Moreover, the optimal onshore points corresponding to all the second offshore space cuboids can also be obtained. Combining the first optimal offshore point obtained through the first offshore space cuboid, the user can obtain all the optimal offshore points, that is, all the optimal offshore points between the offshore wind farm aggregation point and the connection intersection, through one first offshore space cuboid and multiple second offshore space cuboids.

[0091] Furthermore, after obtaining the first optimal onshore point, the following steps can be carried out

[0092] Please refer to Figure 6 , step S24: The point obtained by projecting the optimal onshore point onto the land-land connection line is the onshore projection point. In this embodiment, the first onshore projection point is the Figure 6The point T11 therein. With the onshore projection point as the center, a second onshore space cuboid is established with the line connecting the onshore projection point and the second onshore equal division point in the direction of the connection intersection as the central axis. In this embodiment, as Figure 6 shown, that is, a second onshore space cuboid is established with the line connecting the point T11 and the point T2 as the central axis. The length of the second onshore space cuboid is equal to the length of its central axis, the width of the second onshore space cuboid is 5 times the length of its central axis, and the height of the second onshore space cuboid is 5 times the length of its central axis.

[0093] Repeat step S3 and step S4, and thus a new onshore optimal point can be found within the second onshore space cuboid. Among them, the new onshore optimal point is the optimal point of the adjacent space cuboid in the direction close to the onshore substation set point. By repeatedly cycling through steps S24, S3, and step S4 with this new onshore optimal point, multiple second onshore space cuboids can be obtained, and the multiple second onshore space cuboids are arranged between the onshore substation set point and the connection intersection. Moreover, the onshore optimal points corresponding to all the second onshore space cuboids can also be obtained. Combining the first onshore optimal point obtained through the first onshore space cuboid, the user can obtain all the onshore optimal points through one first onshore space cuboid and multiple second onshore space cuboids, that is, all the onshore optimal points between the onshore wind farm set point and the connection intersection.

[0094] Furthermore, after obtaining all the offshore optimal points and onshore optimal points, the following steps can be carried out,

[0095] Please refer to Figure 1 , step S5: Starting from the offshore wind farm set point and ending at the onshore substation set point. Connect the offshore wind farm set point, multiple offshore optimal points, multiple onshore optimal points, and the onshore substation set point in sequence to form a transmission path, and this transmission path is the optimal transmission path under the comprehensive consideration of multiple factors.

[0096] Please refer to Figure 7 , the present invention also provides a transmission path planning device 10 based on multi-factor evaluation. The transmission path planning device 10 based on multi-factor evaluation is used to execute the foregoing transmission path planning method based on multi-factor evaluation.

[0097] As Figure 7 shown, the transmission path planning device 10 based on multi-factor evaluation includes an equal division point acquisition module 11, a space cuboid establishment module 12, a target merit acquisition module 13, an optimal merit acquisition module 14, and a transmission path planning module 15.

[0098] The equal division point acquisition module 11 is used to acquire offshore equal division points and onshore equal division points between the offshore wind farm set point and the onshore substation set point.

[0099] A spatial cuboid establishment module 12 is used to establish a spatial cuboid between the offshore wind farm aggregation point and the onshore substation aggregation point. The spatial cuboid includes a first offshore spatial cuboid, a first onshore spatial cuboid, multiple second offshore spatial cuboids, and multiple second onshore spatial cuboids.

[0100] The first offshore spatial cuboid is set at the position of the offshore wind farm aggregation point, the first onshore spatial cuboid is set at the position of the onshore substation aggregation point, and multiple second offshore spatial cuboids and multiple second onshore spatial cuboids are set between the offshore wind farm aggregation point and the onshore substation aggregation point.

[0101] A target advantage acquisition module 13 is used to form an array of points by randomly selecting ten points within the spatial cuboid. The number of point arrays is five. The target point array is screened out from the five point arrays, and the target advantage is obtained within the target point array.

[0102] An optimal point acquisition module 14 is used to establish a refined spatial cuboid centered on the target advantage. Forty-nine points are randomly selected within the refined spatial cuboid. The randomly selected forty-nine points and the target advantage form a local point array, and the offshore optimal point or the onshore optimal point is obtained within the local point array.

[0103] A transmission path planning module 15 is used to connect the offshore wind farm aggregation point, the offshore optimal point, the onshore optimal point, and the onshore substation aggregation point in sequence, starting from the offshore wind farm aggregation point and ending at the onshore substation aggregation point, to form a transmission path.

[0104] In one embodiment, the equal division point acquisition module 11 includes

[0105] A sea-land connection line setting sub-module is used to set the connection line with the shortest distance between the offshore wind farm aggregation point and the onshore substation aggregation point as the sea-land connection line.

[0106] A connection intersection point acquisition sub-module takes the intersection point of the sea-land connection line and the coastline as the connection intersection point.

[0107] S13: The shortest distance between the offshore wind farm aggregation point and the connection intersection point is equally divided into N parts, and multiple offshore equal division points after equal division are obtained. The shortest distance between the onshore substation aggregation point and the connection intersection point is equally divided into M parts, and multiple onshore equal division points after equal division are obtained.

[0108] In one embodiment, the spatial cuboid establishment module 12 includes

[0109] A first offshore spatial cuboid establishment sub-module is used to establish a first offshore spatial cuboid centered on the offshore wind farm aggregation point, with the connection line between the offshore wind farm aggregation point and its adjacent offshore equal division point as the central axis.

[0110] The first onshore space cuboid establishment sub-module is used to establish a first onshore space cuboid with the onshore substation gathering point as the center and the connection line between the onshore substation gathering point and its adjacent onshore equally divided points as the central axis.

[0111] The second offshore space cuboid establishment sub-module is used to obtain the optimal offshore points of adjacent first offshore space cuboids or second offshore space cuboids. The optimal offshore points are between the offshore wind farm gathering point and the connection intersection point. The optimal offshore point is the optimal point of the space cuboid adjacent in the direction close to the offshore wind farm gathering point. The point where the optimal offshore point is projected onto the land-sea connection line is the offshore projection point. A second offshore space cuboid is established with the offshore projection point as the center and the connection line between the offshore projection point and its second offshore equally divided point in the direction close to the connection intersection point as the central axis.

[0112] The second onshore space cuboid establishment sub-module is used to obtain the optimal onshore points of adjacent first onshore space cuboids or second onshore space cuboids. The optimal onshore points are between the onshore substation gathering point and the connection intersection point. The optimal onshore point is the optimal point of the space cuboid adjacent in the direction close to the onshore substation gathering point. The point where the optimal onshore point is projected onto the land-sea connection line is the onshore projection point. A second onshore space cuboid is established with the onshore projection point as the center and the connection line between the onshore projection point and its second onshore equally divided point in the direction close to the connection intersection point as the central axis.

[0113] In one embodiment, the target advantage acquisition module 13 includes

[0114] The point array acquisition sub-module is used to form a point array with ten points randomly selected within the space cuboid, and the number of point arrays is five.

[0115] The target point array acquisition sub-module is used to define the spatial distance between points within the point array as the point distance, and screen the five point arrays according to the point distance to obtain the target point array;

[0116] The target advantage acquisition sub-module, based on a preset weighted calculation formula, performs weighted calculation on the evaluation index data of the points within the target point array and the corresponding evaluation index weights to obtain the target advantage. Among them, the points within the target point array include at least one evaluation index data and at least one preset evaluation index weight. The evaluation index data includes seabed factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors. The evaluation index weights include the weights of ecological factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors.

[0117] In one embodiment, the target point array acquisition sub-module includes

[0118] Array point distance acquisition unit, which is used to select any point in the point array and define it as a reference point, calculate the point distances between the reference point and the other nine points in the point array, and filter out the minimum point distance. Moreover, obtain the minimum point distances of all points in the point array, and sum up the minimum point distances of all points in the point array to obtain the array point distance.

[0119] Target point array acquisition unit, which is used to sort the array point distances of five point arrays, and take the point array with the median array point distance as the target point array.

[0120] In one embodiment, the target advantage acquisition sub-module includes

[0121] Evaluation index data scoring unit, which is used to score the evaluation index data of the points in the target point array from 0 to 1.00 based on the inconsistency of the evaluation index data of different points in the target point array, and obtain that the score of the ecological factor is X1, the score of the environmental factor is X2, the score of the geographical factor is X3, the score of the cost factor is X4, and the score of the operation and maintenance factor is X5.

[0122] Evaluation index data weight assignment unit, which is used to assign weights to the evaluation index data of the points in the target point array based on the differences in the impacts of different evaluation index data on the same point in the target point array, and obtain that the weight of the ecological factor is a1, the weight of the environmental factor is a2, the weight of the geographical factor is a3, the weight of the cost factor is a4, and the weight of the operation and maintenance factor is a5.

[0123] Target advantage acquisition unit, which is used to define the final score of the evaluation index data of the points in the target point array as Y, and the value of Y is: Y = α i X i (i = 1, 2, 3, 4, 5), and define the point with the highest score in the target point array as the target advantage.

[0124] In one embodiment, the optimal point acquisition module 14 includes

[0125] Local point array acquisition sub-module, which is used to randomly select forty-nine points in the refined spatial rectangular body, and the randomly selected forty-nine points and the target advantage form a local point array;

[0126] Optimal point acquisition sub-module, which is used to perform weighted calculation on the evaluation index data and the corresponding evaluation index weights of the points in the local point array based on a preset weighted calculation formula to obtain the optimal point. The evaluation index data includes seabed factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors. The evaluation index weights include the weight of the ecological factor, the weight of the environmental factor, the weight of the geographical factor, the weight of the cost factor, and the weight of the operation and maintenance factor.

[0127] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned transmission path planning method based on multi-factor evaluation are implemented.

[0128] Among them, the computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, such as the hard disk or memory of the computer device. The computer-readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. equipped on the computer device.

[0129] The present invention connects the offshore wind farm collection point and the onshore substation collection point and divides them equally, constructs a spatial position based on this, and randomly selects points within this spatial position, ensuring the rationality of the source of the point array. Moreover, the present invention comprehensively considers various factors, scores the points in the point array by collecting historical data and assigns weights, avoiding the local sub-optimal trap and improving the accuracy of the results. Randomly select points within the spatial rectangular parallelepiped to form a point array, calculate according to the distances of the points in the point array and filter out the target array. Take the maximum and minimum scores in the target point array to obtain the target optimal points. Then, construct a refined spatial rectangular parallelepiped through the target optimal points. Establish a local point array within the refined spatial rectangular parallelepiped, and obtain the optimal point in the local point array. This method effectively reduces the huge computational amount of traversal, is beneficial to improving the efficiency of transmission path planning, and effectively improves the benefits of the transmission path planning scheme. After finding the first offshore optimal point and the first onshore optimal point, the present invention reconstructs the spatial rectangular parallelepiped with the first offshore optimal point and the first onshore optimal point as the starting points, and then repeatedly cycles through the steps of obtaining the first offshore optimal point and the first onshore optimal point to obtain all the offshore optimal points and onshore optimal points. This method is beneficial to ensuring the rationality of the transmission path and effectively improving the sustainability of the transmission path planning scheme. This method considers various factors in the process of transmission path planning, and based on the evaluation of various factors, plans the globally optimal transmission path. Therefore, the present invention effectively solves the technical problem that it is difficult for the existing transmission path planning methods to plan the globally optimal transmission path.

[0130] Compared with complex multi-module modeling, the present invention adopts a multi-factor evaluation mechanism, comprehensively considers factors such as ecology, geography, and economy, and performs weighting. Through overall global planning, dynamic response, and data fusion, multi-objective coordination, fast decision-making response, good ecological compatibility, and cost savings of the sea-land transmission path are achieved. When determining the optimal point, the present invention adopts a method of first performing global optimization through a spatial cuboid and then performing local optimization by refining the spatial cuboid. Compared with the prior art, the calculation amount can be effectively reduced, the process can be simplified, the threshold can be lowered, and the planning efficiency of the transmission path can be improved. The present invention has low requirements for application scenarios, can be applied to a variety of offshore wind power transmission scenarios, and has good general applicability.

[0131] In summary, although the present invention has been disclosed above in preferred embodiments, the above preferred embodiments are not intended to limit the present invention. Those of ordinary skill in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined by the claims.

Claims

1. A transmission path planning method based on multi-factor evaluation, characterized in that: It includes the following steps, S1: obtaining an offshore equal-division point and an onshore equal-division point between the offshore wind power station assembly point and the onshore substation assembly point; S2: Establishing a space cuboid between the offshore wind power station assembly point and the onshore substation assembly point; the space cuboid includes a first offshore space cuboid, a first onshore space cuboid, a plurality of second offshore space cuboids and a plurality of second onshore space cuboids; The first offshore space cuboid is arranged at the location of the offshore wind power station assembly point, the first land space cuboid is arranged at the location of the land substation assembly point, and a plurality of the second offshore space cuboids and a plurality of the second land space cuboids are arranged between the offshore wind power station assembly point and the land substation assembly point; S3: establishing a target point array in the space cuboid, and obtaining target advantages in the target point array; S4: Establishing a refined spatial cuboid with the target advantage as the center, establishing a local point array in the refined spatial cuboid, and obtaining an optimal point at sea or on land in the local point array; S5: Taking the offshore wind power station assembly point as the starting point and the onshore substation assembly point as the end point, the offshore wind power station assembly point, the offshore optimal point, the onshore optimal point and the onshore substation assembly point are connected in sequence to form a power transmission path.

2. The power transmission path planning method based on multi-factor evaluation according to claim 1, characterized in that: Obtaining an offshore equal-division point and an onshore equal-division point between the offshore wind power station assembly point and the onshore substation assembly point, including: S11: setting the shortest distance connecting line between the offshore wind power station assembly point and the onshore substation assembly point as the sea-land connecting line; S12: taking the intersection of the sea-land connecting line and the coastline as the connecting intersection; S13: Divide the shortest distance between the offshore wind power station collection point and the connection intersection into N equal parts, and obtain multiple offshore divided points after the equal division; divide the shortest distance between the onshore substation collection point and the connection intersection into M equal parts, and obtain multiple onshore divided points after the equal division.

3. The power transmission path planning method based on multi-factor evaluation according to claim 1, characterized in that: A space cuboid is established between the offshore wind power station assembly point and the onshore substation assembly point, including: S21: Establishing a first offshore space cuboid with the offshore wind power station assembly point as the center and the line connecting the offshore wind power station assembly point and its adjacent offshore equally divided points as the central axis; S22: Establishing a first land space cuboid with the land substation collection point as the center and the line connecting the land substation collection point and its adjacent land equal points as the central axis; S23: Obtaining the offshore optimal point of the adjacent first offshore space cuboid or the second offshore space cuboid, wherein the offshore optimal point is between the offshore wind power station collection point and the connection intersection point, and the offshore optimal point is the optimal point of the adjacent space cuboid in the direction close to the offshore wind power station collection point; the point where the offshore optimal point is projected onto the sea-land connection line is the offshore projection point, and a second offshore space cuboid is established with the offshore projection point as the center and the line connecting the offshore projection point and the second offshore equally divided point in the direction close to the connection intersection point as the central axis; S24: Obtain the onshore optimal point of the adjacent first onshore space cuboid or the second onshore space cuboid, the onshore optimal point being between the onshore substation assembly point and the connection intersection, the onshore optimal point being the optimal point of the adjacent space cuboid close to the onshore substation assembly point, the point where the onshore optimal point is projected onto the sea-land connection line being the onshore projection point, and establishing a second onshore space cuboid with the onshore projection point as the center and the line connecting the onshore projection point and the second onshore equidivision point close to the connection intersection as the central axis.

4. The power transmission path planning method based on multi-factor evaluation according to claim 2 is characterized in that: Establishing a target point array in the space cuboid and obtaining target advantages in the target point array, including: S31: Ten points randomly selected from the space cuboid form a point array, and the number of the point array is five; S32: defining the spatial distance between points in the point array as the point distance, and screening the five point arrays according to the point distance to screen out a target point array; S33: Based on a preset weighted calculation formula, weighted calculation is performed on the evaluation index data of the points in the target point array and the corresponding evaluation index weights to obtain the target advantage; wherein, the points in the target point array include at least one evaluation index data and at least one preset evaluation index weight, the evaluation index data include seabed factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors, and the evaluation index weights include the weights of ecological factors, the weights of environmental factors, the weights of geographical factors, the weights of cost factors, and the weights of operation and maintenance factors.

5. The power transmission path planning method based on multi-factor evaluation according to claim 4 is characterized in that: The spatial distance between points in the defined point array is the point distance, and the five point arrays are screened according to the point distance to screen out the target point array. include, S321: taking any point in the point array and defining it as a reference point, finding the point distance between the reference point and the other nine points in the point array, and screening out the minimum point distance, and obtaining the minimum point distance of all points in the point array, and summing the minimum point distances of all points in the point array to obtain the array point distance; S322: Sort the array point distances of the five point arrays, and use the point array with the median array point distance as the target point array.

6. The power transmission path planning method based on multi-factor evaluation according to claim 4 is characterized in that: The evaluation index data of the points in the target point array and the corresponding evaluation index weights are weightedly calculated based on the preset weighted calculation formula. include, S331: Based on the inconsistency of the evaluation index data of different points in the target point array, the evaluation index data of the points in the target point array are scored from 0 to 1.00, and the score of the ecological factor is X1, the score of the environmental factor is X2, the score of the geographical factor is X3, the score of the cost factor is X4, and the score of the operation and maintenance factor is X5; S332: based on the different effects of different evaluation index data on the same point in the target point array, weights are assigned to the evaluation index data of the points in the target point array, and the weight of the ecological factor is a1, the weight of the environmental factor is a2, the weight of the geographical factor is a3, the weight of the cost factor is a4, and the weight of the operation and maintenance factor is a5; S333: Define the final score of the evaluation index data of the point in the target point array as Y, then the value of Y is: Y = α i X i (i=1,2,3,4,5), the point with the highest score in the target point array is defined as the target advantage.

7. The power transmission path planning method based on multi-factor evaluation according to claim 1, characterized in that: The method of establishing a refined space cuboid with the target advantage as the center, establishing a local point array in the refined space cuboid, and obtaining the optimal point at sea or on land in the local point array includes: S41: randomly selecting forty-nine points in the thinned space cuboid, and the randomly selected forty-nine points and the target advantages form a local point array; S42: Based on a preset weighted calculation formula, the evaluation index data of the points in the local point array and the corresponding evaluation index weights are weightedly calculated to obtain the optimal point; the evaluation index data include seabed factors, environmental factors, geographical factors, cost factors, and operation and maintenance factors; the evaluation index weights include the weights of ecological factors, the weights of environmental factors, the weights of geographical factors, the weights of cost factors, and the weights of operation and maintenance factors.

8. The power transmission path planning method based on multi-factor evaluation according to claim 3 is characterized in that: The length of the first sea space cuboid is equal to the length of its axis, the width of the first sea space cuboid is 5 times the length of its axis, and the height of the first sea space cuboid is 5 times the length of its axis; the length of the first land space cuboid is equal to the length of its axis, the width of the first land space cuboid is 5 times the length of its axis, and the height of the first land space cuboid is 5 times the length of its axis; The length of the second sea space cuboid is equal to the length of its axis, the width of the second sea space cuboid is 5 times the length of its axis, and the height of the second sea space cuboid is 5 times the length of its axis; the length of the second land space cuboid is equal to the length of its axis, the width of the second land space cuboid is 5 times the length of its axis, and the height of the second land space cuboid is 5 times the length of its axis; The length of the refined spatial cuboid is equal to the length of the central axis of its corresponding spatial cuboid, the width of the refined spatial cuboid is 0.5 times the length of the central axis of its corresponding spatial cuboid, and the height of the refined cuboid is 0.5 times the length of the central axis of its corresponding spatial cuboid.

9. A transmission path planning device based on multi-factor evaluation, characterized in that: These include, An equally divided point acquisition module, used to acquire an offshore equally divided point and an onshore equally divided point between the offshore wind power station assembly point and the onshore substation assembly point; A space cuboid establishment module, used to establish a space cuboid between the offshore wind power station assembly point and the onshore substation assembly point; the space cuboid includes a first offshore space cuboid, a first onshore space cuboid, a plurality of second offshore space cuboids, and a plurality of second onshore space cuboids; The first offshore space cuboid is arranged at the location of the offshore wind power station assembly point, the first land space cuboid is arranged at the location of the land substation assembly point, and a plurality of the second offshore space cuboids and a plurality of the second land space cuboids are arranged between the offshore wind power station assembly point and the land substation assembly point; A target advantage acquisition module is used to randomly select ten points in the space cuboid to form a point array, the number of the point arrays is five, select a target point array from the five point arrays, and acquire a target advantage from the target point array; An optimal point acquisition module is used to establish a refined space cuboid with the target advantage as the center, randomly select forty-nine points in the refined space cuboid, the randomly selected forty-nine points and the target advantage form a local point array, and obtain the offshore optimal point or the onshore optimal point in the local point array; The power transmission path planning module is used to connect the offshore wind power station assembly point, the offshore optimal point, the onshore optimal point and the onshore substation assembly point in sequence with the offshore wind power station assembly point as the starting point and the onshore substation assembly point as the end point to form a power transmission path.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the steps of the power transmission path planning method based on multi-factor evaluation as described in any one of claims 1 to 8 are implemented.

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