LU505320B1 - Lighting stroke risk assessment method and system for wind turbine - Google Patents
Lighting stroke risk assessment method and system for wind turbine Download PDFInfo
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Abstract
The present invention discloses a lightning stroke risk assessment method and system for a wind turbine; the method includes the steps of acquiring future thunder and lightning information in the wind turbine area released by a meteorological observatory; acquiring surrounding environment information of the wind turbine, determining a space electric field according to thundercloud information, environmental information and wind turbine information, obtaining a lightning interception area of the wind turbine according to the space electric field, and determining an initial lightning stroke risk; and correcting the initial lightning stroke risk according to wind turbine blade information, and obtaining the lightning stroke risk of the wind turbine. According to the application, the initial lightning stroke risk is corrected according to the corresponding data of the initial lightning stroke risk, so that the impact of the thunder and lightning on the wind turbine can be effectively prevented.
Description
LIGHTING STROKE RISK ASSESSMENT METHOD AND SYSTEM FOR WIND 0505320
TURBINE
The present application relates to the technical field of wind power forecast, and specifically, relates to a lightning stroke risk assessment method and system for a wind turbine.
Wind turbine is an electrical device, which converts wind energy into mechanical work that drives a rotor to rotate, and ultimately outputs an alternating current. Generally, the wind turbine consists of a wind wheel, a generator (including equipment), a directional modulator (tail fin), a tower, a speed-limiting safety mechanism, an energy storage device and other components. An operation principle of the wind turbine 1s relatively simple: the wind wheel rotates under the action of wind power, which converts the kinetic energy of the wind into the mechanical energy of a wind wheel shaft, and the generator rotates to generate electricity under the drive of the wind wheel shaft. Broadly speaking, wind energy is also a solar energy, therefore, it can also be said that the wind turbine is a heat energy utilization generator with the sun as the heat source and the atmosphere as the working medium
In the prior art, wind turbines are often affected by lightning, resulting in lightning strokes and damaging the wind turbines. Because there are many factors affecting lightning, there 1s no means to accurately predict or evaluate lightning stoke.
Therefore, how to improve an accuracy of lightning risk assessment is a technical problem to be solved at present.
The present invention provides a lightning stroke risk assessment method and system for a wind turbine, which is used for solving the technical problem of low accuracy of lightning stroke prediction in the art. The method includes the following steps: acquiring future thunder and lightning information in a wind turbine area released by a meteorological observatory, wherein the future thunder and lightning information includes thundercloud information; acquiring surrounding environment information of the wind turbine, determining a space electric field according to the thundercloud information, environmental information and wind turbine information, obtaining a lightning interception area of the wind turbine according to the 505320 space electric field, and determining an initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine; and correcting the initial lightning stroke risk according to wind turbine blade information, and obtaining the lightning stroke risk of the wind turbine.
In some examples of the present application, the determining an initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine includes: acquiring a ground lightning density surrounding the wind turbine, and obtaining the initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine and the ground lightning density surrounding the wind turbine.
In some examples of the present application, the correcting the initial lightning stroke risk according to wind turbine blade information includes: the wind turbine blade information includes a wind turbine blade angle, and the future thunder and lightning information further includes a lightning time; and obtaining the wind turbine blade angle according to the lightning time, correcting the initial lightning stroke risk for a first time according to the wind turbine blade angle, and obtaining a first corrected lightning stroke risk.
In some examples of the present application, the correcting the initial lightning stroke risk according to wind turbine blade information includes: the wind turbine blade information further includes a wind turbine blade humidity, and the environment information further includes a surrounding environment humidity of the wind turbine blade; acquiring the wind turbine blade humidity according to the thunder and lightning time, correcting the wind turbine blade humidity according to the surrounding environment humidity of the wind turbine blade, and obtaining the corrected wind turbine blade humidity; and correcting the initial lightning stroke risk for a second time according to the corrected wind turbine blade humidity, and obtaining a second corrected lightning stroke risk.
In some examples of the present application, the correcting the initial lightning stroke risk according to the wind turbine blade information further includes: obtaining the lightning stroke risk of the wind turbine according to the first corrected lightning stroke risk, the second corrected lightning stroke risk and a preset weight table. 0505320
Correspondingly, the present application further provides a lightning stroke risk assessment system for a wind turbine, and the system includes: an acquisition module, the acquisition module acquiring is used for acquiring future thunder and lightning information in a wind turbine area released by a meteorological observatory, and the future thunder and lightning information includes thundercloud information; a determination module, the determination module is used for acquiring a surrounding environment information of the wind turbine, a space electric field is determined according to the thundercloud information, environment information and wind turbine information, a lightning interception area of the wind turbine is obtained according to the space electric field, and an initial lightning stroke risk is determined according to the thunder and lightning interception area of the wind turbine; and a correction module, the correction module is used for correcting the initial lightning stroke risk according to the wind turbine blade information, and the lightning stroke risk of the wind turbine is obtained.
In some examples of the present application, the determination module is specifically used for: acquiring a ground lightning density surrounding the wind turbine, and obtaining the initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine and the ground lightning density surrounding the wind turbine.
In some examples of the present application, the correction module is specifically used for: the wind turbine blade information includes a wind turbine blade angle, and the future thunder and lightning information further includes a lightning time; and obtaining the wind turbine blade angle according to the lightning time, correcting the initial lightning stroke risk for a first time according to the wind turbine blade angle, and obtaining a first corrected lightning stroke risk.
In some examples of the present application, the correction module is specifically used for: the wind turbine blade information further includes a wind turbine blade humidity, and the environment information further includes a surrounding environment humidity of the wind turbine blade;
acquiring the wind turbine blade humidity according to the thunder and lightning time. 202320 correcting the wind turbine blade humidity according to the surrounding environment humidity of the wind turbine blade, and obtaining the corrected wind turbine blade humidity; and correcting the initial lightning stroke risk for a second time according to the corrected wind turbine blade humidity, and obtaining a second corrected lightning stroke risk.
In some examples of the present application, the correction module is specifically used for: obtaining the lightning stroke risk of the wind turbine according to the first corrected lightning stroke risk, the second corrected lightning stroke risk and a preset weight table.
By applying the above technical solution, the future thunder and lightning information is acquired in the wind turbine area released by the meteorological observatory, the future thunder and lightning information includes thundercloud information; the surrounding environment information of the wind turbine is acquired, the space electric field is determined according to the thundercloud information, environmental information and wind turbine information, the lightning interception area of the wind turbine is obtained according to the space electric field, and the initial lightning stroke risk is determined according to the thunder and lightning interception area of the wind turbine; and the initial lightning stroke risk is corrected according to wind turbine blade information, and the lightning stroke risk of the wind turbine is obtained.
According to the application, the space electric field is determined according to the thundercloud information, the wind turbine information and the environmental information, the thunder and lighting interception area is obtained according to the space electric field, so that the initial lightning stroke risk is obtained, and the initial lightning stroke risk is corrected according to the corresponding data; and the evaluation accuracy is high, so that the impact of the thunder and lightning on the wind turbine can be effectively prevented, so as to ensure a safe operation of the wind turbine.
In order to more clearly illustrate the technical solution of examples of the present application, the drawings required for the description of the examples are breifly described in the following, and it is obvious that the drawings in the following description are only some examples of the present application, for those of ordinary skill in the art, all other drawings can be obtained on the basis of these drawings without making the creative results.
FIG. 1 is a flow schematic diagram of a lightning stroke risk assessment method for a wind 505320 turbine according to an example of the present invention; and
FIG. 2 is a structural schematic diagram of the lightning stroke risk assessment method for a wind turbine according to an example of the present invention. 5 DETAILED DESCRIPTION
The technical solutions in the examples of the present application will be clearly and completely described in the following by reference to the accompanying drawings in the examples of the present application. It is clear that the described examples are only some, rather than all examples of the present application. Based on the examples in the present application, all other examples obtained by ordinary skilled in the art without creative efforts are included in the scope of protection of the present application.
An example of the present application provides a lightning stroke risk assessment method for a wind turbine, as shown in FIG. 1, and the method includes the following steps:
Step S101: future thunder and lightning information is acquired in a wind turbine area released by a meteorological observatory, and the future thunder and lightning information includes thundercloud information.
In the present example, the thundercloud information includes a thunder and lightning intensity, a thunder and lightning position and other related information; and firstly, the future thunder and lightning situation in the wind turbine area is determined.
Step S102: surrounding environment information of the wind turbine is acquired, a space electric field is determined according to the thundercloud information, environmental information and wind turbine information, a lightning interception area of the wind turbine is obtained according to the space electric field, and an initial lightning stroke risk is determined according to the thunder and lightning interception area of the wind turbine.
In the present example, when a downward negative lightning stroke occurs, a stepped leader develops downward to a certain area; a place with small radius of curvature at a tip of the wind turbine blade can produce a stable upward positive leader; finally, the downward stepped leader is connected to the upward leader, and the lightning stroke strikes the wind turbine; and this area is defined as the lightning stroke interception area of the wind turbine. The thunder and lightning interception area of the wind turbine is determined by the space electric field formed by the thundercloud, the downward stepped leader, the earth and the wind turbine. The return stroke 505320 current amplitude determines the total quality of electric charge of the stepped leader channel, affecting the size of the space electric field. However, near the space electric field, a difference of the topography structure makes the wind turbine have different degrees of distortion, and at the same time, the interception distance of the thunder and lightning by the earth will also change.
It is to be noted that the environmental information includes information that characterizes the structure of the environment, such as altitude and topography situation. The wind turbine information includes a wind turbine height, a blade height, etc. The space electric field composed of the thundercloud, the stepped leader, the wind turbine and the earth is solved by finite element method, and the thunder and lightning interception area is obtained. The specific calculation process belongs to the conventional technology in the art, which is not repeated here.
In order to improve an accuracy of lightning stroke risk, in some examples of the present application, the initial lightning stroke risk is determined according to the thunder and lightning interception area of the wind turbine, which includes a ground lightning density surrounding the wind turbine is acquired, and the initial lightning stroke risk is obtained according to the thunder and lightning interception area of the wind turbine and the ground lightning density surrounding the wind turbine.
In the present example, the present solution uses the number of lightning strokes in a preset period of time to represent the lightning stroke risk. The formula is as follows:
A=BS
A is the number of lightning strokes suffered by the wind turbine, B is the lightning ground density at a location of the wind turbine, and S is a ground projection area of the thunder and lightning interception area of the wind turbine. The lighting ground density at the location of the wind turbine can be obtained from observation data, and it can also be calculated using the thunderstorm days in the location.
Step S103, the initial lightning stroke risk is corrected according to wind turbine blade information, and the lightning stroke risk of the wind turbine is obtained.
In the present example, the condition of wind turbine blades can also affect the risk of lightning stroke, therefore, a blade condition needs to be corrected to reduce interference and
. LU505320 improve accuracy.
In order to improve the accuracy of lightning stroke risk, in some examples of the present application, the initial lightning stroke risk is corrected according to wind turbine blade information, includes: the wind turbine blade information includes a wind turbine blade angle, and the future thunder and lightning information further includes a lightning time; and the wind turbine blade angle is obtained according to the lightning time, the initial lightning stroke risk for a first time is corrected according to the wind turbine blade angle, and a first corrected 1s obtained lightning stroke risk.
In the present example, a probability of being struck by lightning stroke 1s different due to different angles of the wind turbine blade, the probability of lightning stroke is large in a certain range, such as between 15 DEG and 45 DEG.
The wind turbine blade angle is set as C, and the wind turbine blade angle interval value array CO (C1, C2, C3, C4) is preset, a first preset wind turbine blade angle interval value is C1, a second preset wind turbine blade angle interval value is C2, a third preset wind turbine blade angle interval value is C3, a fourth preset wind turbine blade angle interval value is C4, and C1 <
C2 < C3 < C4, a first correction coefficient array FO (F1, F2, F3, F4) is preset, a first preset first correction coefficient is F1, a second preset first correction coefficient is F2, a third preset first correction coefficient is F3, a fourth preset first correction coefficient is F4, and F1 < F2, F3 > F4; 08 < FO < 1.2; and the initial lightning stroke risk is set as P; according to the relationship between the wind turbine blade angle and the interval value of each preset wind turbine blade angle, the first correction coefficient is determined, and the initial lightning stroke risk is corrected according to the first correction coefficient. if C < Cl, the first preset first correction coefficient F1 is determined as the first correction coefficient, and after the correction, the first corrected lightning stroke risk is P * F1; if C1 < C < C2, the second preset first correction coefficient F2 is determined as the first correction coefficient, and after the correction, the first corrected lightning stroke risk is P * F2; if C2 < C < C3, the third preset first correction coefficient F3 is determined as the first correction coefficient, and after the correction, the first corrected lightning stroke risk is P * F3; if C3 < C < C4, the fourth preset first correction coefficient F4 is determined as the first correction coefficient, and after the correction, the first corrected lightning stroke risk is P * p4. 7505320
In order to improve the accuracy of lightning stroke risk, in some examples of the present application, the initial lightning stroke risk is corrected according to wind turbine blade information, which includes: the wind turbine blade information further includes a wind turbine blade humidity, and the environmental information further includes a surrounding environment humidity of the wind turbine blade; the wind turbine blade humidity is acquired according to the thunder and lightning time, the wind turbine blade humidity is corrected according to the surrounding environment humidity of the wind turbine blade, and the corrected wind turbine blade humidity is obtained; and the initial lightning stroke risk for a second time is corrected according to the corrected wind turbine blade humidity, and a second corrected lightning stroke risk is obtained.
In the present example, generally speaking, lightning stroke is transmitted from the blade. If the humidity on the blade is too high, the conductivity will be affected, thus affecting the risk of the lightning stroke. The blade humidity is closely related to the environmental humidity and needs to be corrected.
The wind turbine blade humidity is set as V, and the wind turbine blade humidity array VO (V1, V2, V3, V4) is preset, a first preset wind turbine blade humidity is V1, a second preset wind turbine blade humidity is V2, a third preset wind turbine blade humidity is V3, a fourth preset wind turbine blade humidity is V4, and V1 < V2 < V3 <V4; the wind turbine blade surrounding environment humidity is set as W, and the wind turbine blade surrounding environment humidity array WO (W1, W2, W3, W4) is preset, a first preset wind turbine blade surrounding environment humidity is W1, a second preset wind turbine blade surrounding environment humidity is W2, a third preset wind turbine blade surrounding environment humidity is W3, a fourth preset wind turbine blade surrounding environment humidity is W4, and W1 <W2 < W3 < W4; and a blade humidity correction coefficient array TO (T1, T2, T3, T4) is preset, a first preset blade humidity correction coefficient is T1, a second preset blade humidity correction coefficient is T2, a third preset blade humidity correction coefficient is T3, a fourth preset blade humidity correction coefficient is T4, and 0.8 < T1 <T2<T3 <T4<12.
According to the relationship between the surrounding environment humidity of the wind turbine blade and the surrounding environment humidity of each preset wind turbine blade, the 505320 blade humidity correction coefficient is determined to correct the wind turbine blade humidity; if W < W1, the first preset blade humidity correction coefficient T1 is determined as the blade humidity correction coefficient, and after the correction, the wind turbine blade humidity is
V*TI; if W1 < W < W2, the second preset blade humidity correction coefficient T2 is determined as the blade humidity correction coefficient, and after the correction, the wind turbine blade humidity is V * T2; if W2 < W < W3, the third preset blade humidity correction coefficient T3 is determined as the blade humidity correction coefficient, and after the correction, the wind turbine blade humidity is V * T3; and if W3 < W < W4, the fourth preset blade humidity correction coefficient T4 is determined as the blade humidity correction coefficient, and after the correction, the wind turbine blade humidity is V * T4.
A second correction coefficient array LO (L1, L2, L3, L4) is preset, a first preset second correction coefficient is LI, a second preset second correction coefficient is L2, a third preset second correction coefficient is L3, a fourth preset second correction coefficient is L4, and 0.8 <
LI<L2<L3<L4<1.2 according to the relationship between the humidity of the wind turbine blade and the humidity of each preset wind turbine blade, the first correction coefficient is determined, and the initial lightning stroke risk is corrected according to the first correction coefficient; if V*TO < V1, the first preset second correction coefficient L1 is determined as the second correction coefficient, and after the correction, the second corrected lightning stroke risk is P *
LI; if V1 < V*TO < V2, the second preset second correction coefficient L2 is determined as the second correction coefficient, and after the correction, the second corrected lightning stroke risk isP*L2; if V2 < V*TO < V3, the third preset second correction coefficient L3 is determined as the second correction coefficient, and after the correction, the second corrected lightning stroke risk isP*L3;
if V3 < V*TO < V4, the fourth preset second correction coefficient L4 is determined as the 905320 second correction coefficient, and after the correction, the second corrected lightning stroke risk is P * LA.
In order to improve the accuracy of lightning stroke risk, in some examples of the present application, the initial lightning stroke risk is corrected according to wind turbine blade information, further includes: the lightning stroke risk of the wind turbine is obtained according to the first corrected lightning stroke risk, the second corrected lightning stroke risk and a preset weight table.
In the present example,the wind turbine blade angle and the wind turbine blade humidity have different effects on the lightning stroke risk, so the final lightning stroke risk needs to be obtained according to the weight value. In the preset weight table, there are a plurality the first corrected lightning stroke risk ranges, the second corrected lightning stroke risk ranges and the corresponding weight values of the two. There is a weight value corresponding to each of the first corrected lightning stroke range and the second corrected lightning stroke risk range.
According to the range of the first corrected lightning stroke risk and the second corrected lightning stroke risk in the table, the corresponding weight is obtained, and the lightning stroke risk of the wind turbine is obtained.
The lightning stroke risk of the wind turbine blade = N1 * P * FO + N2 * P * LO.
N1 is the weight corresponding to the first corrected lightning stroke, and N2 is the weight corresponding to the second corrected lightning stroke.
In order to improve a reliability of the present solution, there are some additional solutions in this application as follows: when the distance between the two wind turbines is close, the thunder and lightning interception areas overlap, the guiding head of the downward lightning stroke enters the overlapping lightning interception areas, the probability of lightning stroke two wind turbines is the same, therefore, the equivalent interception area of the two wind turbines is reduced, which is a shielding effect between the wind turbines.
Therefore, when calculating the thunder and lightning interception area, it is necessary to consider the distance between wind turbines to reduce the error.
The thunder and lightning interception area is corrected according to the distance between the wind turbines, after the correction, the initial lightning stroke risk is obtained, 0505320 a wind turbine spacing is set as X, and the wind turbine spacing array XO (X1, X2, X3, X4) is preset, a first preset wind turbine spacing is X1, a second preset wind turbine spacing is X2, a third preset wind turbine spacing is X3, a fourth preset wind turbine spacing is X4, and X1 < X2 <X3<X4: the thunder and lightning interception area correction coefficient array RO (R1, R2, R3,
R4) is preset, a first preset thunder and lightning interception area correction coefficient is R1, a second preset thunder and lightning interception area correction coefficient is R2, a third preset thunder and lightning interception area correction coefficient is R3, a fourth preset thunder and lightning interception area correction coefficient is R4, and 0.8 <R1 <R2 <R3 <R4 <1.2.
According to the relationship between the wind turbine spacing and the spacing of each preset, the correction coefficient of the thunder and lightning interception area is determined, and the thunder and lightning interception area is corrected; if X < XI, the first preset thunder and lightning interception area correction coefficient R1 is determined as the correction coefficient of the thunder and lightning interception area, and after the correction, the thunder and lightning interception area is S * R1; if X1 < X < X2, the second preset thunder and lightning interception area correction coefficient R2 is determined as the correction coefficient of the thunder and lightning interception area, and after the correction, the thunder and lightning interception area is S * R2; if X2 < X < X3, the third preset thunder and lightning interception area correction coefficient R3 is determined as the correction coefficient of the thunder and lightning interception area, and after the correction, the thunder and lightning interception area is S * R3; if X3 < X < X4, the fourth preset thunder and lightning interception area correction coefficient R4 is determined as the correction coefficient of the thunder and lightning interception area, and after the correction, the thunder and lightning interception area is S * R4.
By applying the above technical solution, future thunder and lightning information is acquired in a wind turbine area released by a meteorological observatory, the future thunder and lightning information includes thundercloud information; a surrounding environment information of the wind turbine is acquired, a space electric field is determined according to the thundercloud information, environmental information and wind turbine information, a lightning interception area of the wind turbine is obtained according to the space electric field, and a 505320 initial lightning stroke risk is determined according to the thunder and lightning interception area of the wind turbine; and the initial lightning stroke risk is corrected according to wind turbine blade information, and the lightning stroke risk of the wind turbine is obtained. The application determines the space electric field by the thundercloud information, the wind turbine information and the environmental information, the thunder and lighting interception area is obtained according to the space electric field, so that to obtain the initial lightning stroke risk, the initial lightning stroke risk is corrected according to the corresponding data,the evaluation accuracy is high, so that the impact of the thunder and lightning on the wind turbine can be effectively prevented, so as to ensure a safe operation of the wind turbine.
By the description of the above embodiment, those skilled in the art may clearly understand that the technology in the example of the present invention may be realized by means of software plus the necessary general hardware platform. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product that can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.); and the software product includes a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each implementation scenario of the present invention.
In order to further elaborate the technical idea of the present invention, combined with specific application scenarios, the technical solution of the present invention is explained.
Correspondingly, the present application further provides a lightning stroke risk assessment system for a wind turbine, as shown in FIG.2, and the system includes: an acquisition module 201, the acquisition module 201 is used for acquiring future thunder and lightning information in a wind turbine area released by a meteorological observatory, and the future thunder and lightning information includes thundercloud information; a determination module 202, the determination module 202 is used for acquiring a surrounding environment information of the wind turbine, a space electric field is determined according to the thundercloud information, environmental information and wind turbine information, a lightning interception area of the wind turbine is obtained according to the space electric field, and an initial lightning stroke risk is determined according to the thunder and lightning interception area of the wind turbine; and 7505320 a correction module 203, the correction module 203 is used for correcting the initial lightning stroke risk according to the wind turbine blade information, and the lightning stroke risk of the wind turbine is obtained.
In some examples of the present application, the determination module 202 is specifically used for: acquiring a ground lightning density surrounding the wind turbine, and obtaining the initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine and the ground lightning density surrounding the wind turbine.
In some examples of the present application, the correction module 203 is specifically used for: the wind turbine blade information includes a wind turbine blade angle, and the future thunder and lightning information further includes a lightning time; and obtaining the wind turbine blade angle according to the lightning time, correcting the initial lightning stroke risk for a first time according to the wind turbine blade angle, and obtaining a first corrected lightning stroke risk.
In some examples of the present application, the correction module 203 is specifically used for: the wind turbine blade information further includes a wind turbine blade humidity, and the environment information further includes a surrounding environment humidity of the wind turbine blade; acquiring the wind turbine blade humidity according to the thunder and lightning time, correcting the wind turbine blade humidity according to the surrounding environment humidity of the wind turbine blade, and obtaining the corrected wind turbine blade humidity; and correcting the initial lightning stroke risk for a second time according to the corrected wind turbine blade humidity, and obtaining a second corrected lightning stroke risk.
In some examples of the present application,the correction module 203 is specifically used for: obtaining the lightning stroke risk of the wind turbine according to the first corrected lightning stroke risk, the second corrected lightning stroke risk and a preset weight table.
Those skilled in the art may understand that the modules in the system in the 505320 implementation scenario may be distributed in the system of the implementation scenario in accordance with the description of the implementation scenario, and may also be changed correspondingly and located in one or more systems different from this embodiment scenario.
The modules of the above implementation scenarios may be merged into one module or further split into a plurality of sub-modules.
Finally, it is to be stated that the above is only a better example of the present application technical solution, and it is not used to limit; despite the present application is described in detail with reference to the above examples, those of ordinary skills in the art is to be understood: they can still modify the technical solutions described in the above examples, or an equivalent replacement of some of the technical features; these modifications or replacements do not make the essence of the corresponding technical solution departing from the spirit and scope of the technical solution of each example of the present application.
Claims (10)
1. A lightning stroke risk assessment method for a wind turbine, comprising: acquiring future thunder and lightning information in a wind turbine area released by a meteorological observatory, wherein the future thunder and lightning information comprises thundercloud information: acquiring surrounding environment information of the wind turbine, determining a space electric field according to the thundercloud information, environmental information and wind turbine information, obtaining a lightning interception area of the wind turbine according to the space electric field, and determining an initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine; and correcting the initial lightning stroke risk according to wind turbine blade information, and obtaining the lightning stroke risk of the wind turbine.
2. The method according to claim 1, wherein the determining an initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine comprises: acquiring a ground lightning density surrounding the wind turbine, and obtaining the initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine and the ground lightning density surrounding the wind turbine.
3. The method according to claim 2, wherein the correcting the initial lightning stroke risk according to wind turbine blade information comprises: the wind turbine blade information comprises a wind turbine blade angle, and the future thunder and lightning information further comprises a lightning time; and obtaining the wind turbine blade angle according to the lightning time, correcting the initial lightning stroke risk for a first time according to the wind turbine blade angle, and obtaining a first corrected lightning stroke risk.
4. The method according to claim 3, wherein the correcting the initial lightning stroke risk according to the wind turbine blade information comprises: the wind turbine blade information further comprises a wind turbine blade humidity, and the environment information further comprises a surrounding environment humidity of the wind turbine blade:
acquiring the wind turbine blade humidity according to the thunder and lightning time. 202320 correcting the wind turbine blade humidity according to the surrounding environment humidity of the wind turbine blade, and obtaining the corrected wind turbine blade humidity; and correcting the initial lightning stroke risk for a second time according to the corrected wind turbine blade humidity, and obtaining a second corrected lightning stroke risk.
5. The method according to claim 4, wherein the correcting the initial lightning stroke risk according to the wind turbine blade information comprises: obtaining the lightning stroke risk of the wind turbine according to the first corrected lightning stroke risk, the second corrected lightning stroke risk and a preset weight table.
6. A lightning stroke risk assessment system for a wind turbine, comprising: an acquisition module, the acquisition module acquiring is used for acquiring future thunder and lightning information in a wind turbine area released by a meteorological observatory, and the future thunder and lightning information comprises thundercloud information; a determination module, the determination module is used for acquiring a surrounding environment information of the wind turbine, a space electric field is determined according to the thundercloud information, environment information and wind turbine information, a lightning interception area of the wind turbine is obtained according to the space electric field, and an initial lightning stroke risk is determined according to the thunder and lightning interception area of the wind turbine; and a correction module, the correction module is used for correcting the initial lightning stroke risk according to the wind turbine blade information, and the lightning stroke risk of the wind turbine is obtained.
7. The system according to claim 6, wherein the determination module is specifically used for: acquiring a ground lightning density surrounding the wind turbine, and obtaining the initial lightning stroke risk according to the thunder and lightning interception area of the wind turbine and the ground lightning density surrounding the wind turbine.
8. The system according to claim 6, wherein the correction module is specifically used for: the wind turbine blade information comprising a wind turbine blade angle, and the future thunder and lightning information further comprising a lightning time; and obtaining the wind turbine blade angle according to the lightning time, correcting the initial 02520 lightning stroke risk for a first time according to the wind turbine blade angle, and obtaining a first corrected lightning stroke risk.
9. The system according to claim 8, wherein the determination module 1s specifically used for: the wind turbine blade information further comprising a wind turbine blade humidity, and the environment information further comprising a surrounding environment humidity of the wind turbine blade: acquiring the wind turbine blade humidity according to the thunder and lightning time, correcting the wind turbine blade humidity according to the surrounding environment humidity of the wind turbine blade, and obtaining the corrected wind turbine blade humidity; and correcting the initial lightning stroke risk for a second time according to the corrected wind turbine blade humidity, and obtaining a second corrected lightning stroke risk.
10. The system according to claim 9, wherein the correction module is specifically used for: obtaining the lightning stroke risk of the wind turbine according to the first corrected lightning stroke risk, a second corrected lightning stroke risk and a preset weight table.
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| CN202211604508.3A CN115983680A (en) | 2022-12-13 | 2022-12-13 | Lightning risk assessment method and system for wind driven generator |
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