A method and apparatus for predicting lightning damage to a wind turbine

Abstract

The application discloses a method and device for predicting lightning damage of a wind turbine generator, and the method comprises the following steps: acquiring lightning meteorological data corresponding to each wind turbine generator from a meteorological information system, wherein the lightning meteorological data are used for judging whether lightning strikes occur in the wind turbine generator; acquiring alarm data corresponding to each wind turbine generator from a monitoring system, wherein the alarm data are used for reflecting that the wind turbine generator is affected by lightning and generates an alarm; and predicting a wind turbine generator suffering from lightning damage from each wind turbine generator based on the lightning meteorological data and the alarm data. It can be seen that the lightning meteorological data corresponding to each wind turbine generator are acquired from the existing meteorological information system, the alarm data corresponding to each wind turbine generator are acquired from the original monitoring system, and the two are combined and verified with each other to judge whether lightning strikes occur in each wind turbine generator. The method does not need to additionally configure other devices on the wind turbine generator, can accurately and effectively judge whether lightning strikes occur in the wind turbine generator, is easy to implement, low in cost and simple to maintain.

Description

Technical Field

[0001] This application relates to the field of wind turbine technology, and in particular to a method and apparatus for predicting lightning damage to wind turbines. Background Technology

[0002] Lightning is a highly dangerous natural disaster, especially harmful to wind turbines. Because wind turbines are rotating equipment, if lightning damage is not detected in time, the damage can spread to the point of being irreparable, easily leading to a fall and causing huge economic losses.

[0003] Currently, there are two main methods for detecting lightning damage to wind turbines: the first method is to use video acquisition equipment to collect data on rotating components of the wind turbine, such as blades, to determine whether the wind turbine has been damaged by lightning; the second method is to use lightning sensors to detect lightning parameters such as lightning current of the wind turbine to determine whether the wind turbine has been damaged by lightning.

[0004] The inventors discovered through research that the first method can only detect whether rotating components of the wind turbine, such as blades, have been damaged by lightning, but cannot accurately and effectively determine whether other components have been damaged by lightning; moreover, configuring video acquisition equipment on the wind turbine is difficult to implement, costly, and difficult to maintain. The second method can only detect whether the wind turbine generates lightning current and other lightning parameters, but cannot accurately and effectively determine whether the wind turbine has been damaged by lightning; moreover, configuring lightning sensors on the wind turbine is difficult to implement, costly, and difficult to maintain. Summary of the Invention

[0005] In view of this, the embodiments of this application provide a method and apparatus for predicting lightning damage to wind turbines. It can accurately and effectively determine whether a wind turbine has been damaged by lightning without the need to configure other equipment on the wind turbine. It is easy to implement, low in cost and simple to maintain.

[0006] In a first aspect, embodiments of this application provide a method for predicting lightning damage to wind turbine generators, the method comprising:

[0007] The lightning meteorological data corresponding to each wind turbine is obtained from the meteorological information system; the lightning meteorological data is used to determine whether the wind turbine has been struck by lightning.

[0008] The alarm data corresponding to each wind turbine is obtained from the monitoring system; the alarm data is used to reflect the alarm generated by the wind turbine being affected by lightning.

[0009] Based on the aforementioned lightning meteorological data and alarm data, wind turbines that will be damaged by lightning are predicted from among the aforementioned wind turbines.

[0010] Optionally, the lightning meteorological data includes lightning time, lightning type, lightning location, and lightning intensity; the alarm data includes alarm type and alarm time.

[0011] Optionally, the step of predicting lightning damage from each of the wind turbine units based on the various lightning meteorological data and the various alarm data includes:

[0012] For each wind turbine, based on the turbine location, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, it is determined whether a lightning strike event has occurred on the wind turbine.

[0013] If so, based on the alarm type and alarm time of the wind turbine, and the lightning time of the lightning strike, determine whether the wind turbine has experienced a surge alarm, and whether the alarm time of the surge alarm and the lightning time of the lightning strike meet the preset time conditions.

[0014] If so, predict the lightning damage to the wind turbine.

[0015] Optionally, the step of predicting the wind turbines damaged by lightning strikes from among the various wind turbines based on the various lightning meteorological data and the various alarm data includes:

[0016] For each wind turbine, determine whether a surge alarm has occurred based on the alarm type of the wind turbine.

[0017] If so, based on the location of the wind turbine generator set, the lightning type, lightning location, lightning intensity, lightning event conditions, and surge alarm time of each lightning meteorological data item, determine whether the wind turbine generator set has experienced a lightning strike event, and whether the lightning time of the lightning strike event and the surge alarm time meet the preset time conditions.

[0018] If so, predict the lightning damage to the wind turbine.

[0019] Optionally, the step of predicting the wind turbines damaged by lightning strikes from among the various wind turbines based on the various lightning meteorological data and the various alarm data includes:

[0020] Based on the location of each wind turbine, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, the wind turbines that experienced lightning strikes are identified to form a first candidate wind turbine set.

[0021] Based on the alarm type of each wind turbine, the wind turbines that have triggered surge alarms are identified to form a second candidate wind turbine set;

[0022] Perform an intersection operation on the first set of candidate wind turbines and the second set of candidate wind turbines, and use the wind turbines in the intersection as the target wind turbines;

[0023] If the alarm time of the surge alarm of the target wind turbine unit meets the preset time condition with the lightning time of the lightning strike event of the target wind turbine unit, the lightning damage of the target wind turbine unit is predicted.

[0024] Optionally, the lightning strike event conditions include:

[0025] The lightning type is cloud-to-cloud lightning; the distance between the generator unit and the lightning location is less than or equal to a first distance threshold; and the lightning intensity is greater than or equal to a first lightning intensity threshold; or,

[0026] The lightning type is ground flash, and the distance between the generator unit location and the lightning location is less than or equal to the second distance threshold; or,

[0027] The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a second distance threshold and less than or equal to a third distance threshold, the lightning intensity is greater than or equal to a second lightning intensity threshold, and the third distance threshold is greater than the second distance threshold; or,

[0028] The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a third distance threshold and less than or equal to a fourth distance threshold, the lightning intensity is greater than or equal to a third lightning intensity threshold, the third distance threshold is greater than a second distance threshold, and the third lightning intensity threshold is greater than a second lightning intensity threshold.

[0029] Optionally, the preset time conditions include that the alarm time is after the lightning time, and the time difference between the alarm time and the lightning time is within a preset time range.

[0030] Secondly, embodiments of this application provide a device for predicting lightning damage to wind turbine generators, the device comprising:

[0031] The first acquisition unit is used to acquire various lightning meteorological data corresponding to each wind turbine from the meteorological information system; the lightning meteorological data is used to determine whether the wind turbine has been struck by lightning.

[0032] The second acquisition unit is used to acquire alarm data corresponding to each wind turbine from the monitoring system; the alarm data is used to reflect the alarm generated by the wind turbine being affected by lightning.

[0033] The prediction unit is used to predict the wind turbines damaged by lightning strikes from each of the wind turbines based on the various lightning meteorological data and the various alarm data.

[0034] Optionally, the lightning meteorological data includes lightning time, lightning type, lightning location, and lightning intensity; the alarm data includes alarm type and alarm time.

[0035] Optionally, the prediction unit is used for:

[0036] For each wind turbine, based on the turbine location, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, it is determined whether a lightning strike event has occurred on the wind turbine.

[0037] If so, based on the alarm type and alarm time of the wind turbine, and the lightning time of the lightning strike, determine whether the wind turbine has experienced a surge alarm, and whether the alarm time of the surge alarm and the lightning time of the lightning strike meet the preset time conditions.

[0038] If so, predict the lightning damage to the wind turbine.

[0039] Optionally, the prediction unit is used for:

[0040] For each wind turbine, determine whether a surge alarm has occurred based on the alarm type of the wind turbine.

[0041] If so, based on the location of the wind turbine generator set, the lightning type, lightning location, lightning intensity, lightning event conditions, and surge alarm time of each lightning meteorological data item, determine whether the wind turbine generator set has experienced a lightning strike event, and whether the lightning time of the lightning strike event and the surge alarm time meet the preset time conditions.

[0042] If so, predict the lightning damage to the wind turbine.

[0043] Optionally, the prediction unit is used for:

[0044] Based on the location of each wind turbine, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, the wind turbines that experienced lightning strikes are identified to form a first candidate wind turbine set.

[0045] Based on the alarm type of each wind turbine, the wind turbines that have triggered surge alarms are identified to form a second candidate wind turbine set;

[0046] Perform an intersection operation on the first set of candidate wind turbines and the second set of candidate wind turbines, and use the wind turbines in the intersection as the target wind turbines;

[0047] If the alarm time of the surge alarm of the target wind turbine unit meets the preset time condition with the lightning time of the lightning strike event of the target wind turbine unit, the lightning damage of the target wind turbine unit is predicted.

[0048] Optionally, the lightning strike event conditions include:

[0049] The lightning type is cloud-to-cloud lightning; the distance between the generator unit and the lightning location is less than or equal to a first distance threshold; and the lightning intensity is greater than or equal to a first lightning intensity threshold; or,

[0050] The lightning type is ground flash, and the distance between the generator unit location and the lightning location is less than or equal to the second distance threshold; or,

[0051] The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a second distance threshold and less than or equal to a third distance threshold, the lightning intensity is greater than or equal to a second lightning intensity threshold, and the third distance threshold is greater than the second distance threshold; or,

[0052] The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a third distance threshold and less than or equal to a fourth distance threshold, the lightning intensity is greater than or equal to a third lightning intensity threshold, the third distance threshold is greater than a second distance threshold, and the third lightning intensity threshold is greater than a second lightning intensity threshold.

[0053] Optionally, the preset time conditions include that the alarm time is after the lightning time, and the time difference between the alarm time and the lightning time is within a preset time range.

[0054] Thirdly, embodiments of this application provide a terminal device, the terminal device including a processor and a memory:

[0055] The memory is used to store program code and transmit the program code to the processor;

[0056] The processor is used to execute the method for predicting lightning damage to wind turbines as described in the first aspect above, according to the instructions in the program code.

[0057] Fourthly, embodiments of this application provide a computer-readable storage medium for storing program code for executing the method for predicting lightning damage to wind turbines described in the first aspect above.

[0058] Compared with the prior art, this application has at least the following advantages:

[0059] The technical solution of this application embodiment obtains various lightning meteorological data corresponding to each wind turbine from the meteorological information system. This lightning meteorological data is used to determine whether a lightning strike has occurred on the wind turbine. Alarm data corresponding to each wind turbine is obtained from the monitoring system. This alarm data reflects the alarms generated by the wind turbine due to lightning strikes. Based on the various lightning meteorological data and alarm data, wind turbines that have suffered lightning damage are predicted. It is evident that by obtaining various lightning meteorological data corresponding to each wind turbine from the existing meteorological information system of the National Meteorological Administration, and obtaining alarm data corresponding to each wind turbine from the existing monitoring system, and combining and verifying these data, a comprehensive judgment can be made as to whether each wind turbine has suffered lightning damage. This method does not require additional equipment to be configured on the wind turbine, and can accurately and effectively determine whether a wind turbine has suffered lightning damage. It is easy to implement, low in cost, and simple to maintain. Attached Figure Description

[0060] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0061] Figure 1 This is a schematic diagram of the system framework involved in one application scenario in the embodiments of this application;

[0062] Figure 2 A flowchart illustrating a method for predicting lightning damage to wind turbines provided in this application embodiment;

[0063] Figure 3 A schematic flowchart illustrating a method for predicting lightning damage to wind turbines provided in this application embodiment;

[0064] Figure 4 This is a schematic diagram of a device for predicting lightning damage to wind turbines, provided in an embodiment of this application. Detailed Implementation

[0065] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0066] Currently, the detection methods for lightning damage to wind turbines mainly fall into the following two categories:

[0067] The first method involves using video capture equipment to collect data on rotating components of the wind turbine, such as the blades, to determine if the turbine has been damaged by lightning. However, this method can only detect whether rotating components like the blades have been damaged by lightning, and cannot accurately and effectively determine whether other components have been damaged. Furthermore, installing video capture equipment on wind turbines is difficult to implement, costly, and challenging to maintain.

[0068] The second method involves using lightning sensors to detect lightning parameters such as lightning current in wind turbines to determine whether the turbines have been damaged by lightning. However, this method can only detect whether the wind turbines are generating lightning current and other lightning parameters, and cannot accurately and effectively determine whether the wind turbines have been damaged by lightning. Furthermore, installing lightning sensors on wind turbines is difficult to implement, costly, and difficult to maintain.

[0069] To address the aforementioned problems, the inventors analyzed and studied lightning damage to wind turbines. On one hand, when a wind turbine is struck by lightning, it necessarily indicates that lightning occurred in its geographical location. Therefore, by examining lightning meteorological data for that location, wind turbines potentially struck by lightning can be identified. On the other hand, when a wind turbine is struck by lightning, surge currents and voltages pass through the power line. Therefore, by detecting these surge currents and voltages, it can be determined whether the wind turbine has been affected by lightning and triggered an alarm. Currently, wind turbines generally have surge protection devices that issue surge alarms when surge currents or voltages occur. Therefore, by examining the alarm data of the wind turbine, it can be determined whether lightning has caused the alarm. Furthermore, considering that surge alarms can have multiple causes, to accurately identify wind turbines struck by lightning, data from both aspects can be combined to predict the extent of lightning damage.

[0070] The data from both sources are combined and corroborated to accurately determine whether each wind turbine has been damaged by lightning. Both types of data can be obtained from existing equipment or systems (meteorological data can be obtained from the existing meteorological information system of the National Meteorological Administration, and alarm data can be obtained from the existing monitoring system corresponding to the wind turbine). Therefore, this method does not require additional equipment to be configured on the wind turbine, and can accurately and effectively determine whether the wind turbine has been damaged by lightning. It is easy to implement, low in cost, and simple to maintain.

[0071] For example, one scenario in the embodiments of this application can be applied to, such as Figure 1The scenario shown includes a wind turbine lightning damage prediction system 101, a meteorological information system 102, a monitoring system 103, and various wind turbines 104. The wind turbine lightning damage prediction system 101 predicts wind turbines that will suffer lightning damage. The meteorological information system 102 can be a system established by the National Meteorological Administration for weather forecasting, storing lightning meteorological data corresponding to each geographical location. The monitoring system 103 can be a local central control system for monitoring various wind turbines, or a remote monitoring system for monitoring various wind turbines, storing alarm data for each wind turbine. The wind turbine lightning damage prediction system 101 can obtain various lightning meteorological data corresponding to each wind turbine 104 from the meteorological information system 102; it can also obtain alarm data corresponding to each wind turbine 104 from the monitoring system 103; and based on the various lightning meteorological data and alarm data, it predicts whether each wind turbine 104 will suffer lightning damage.

[0072] First, in the above application scenarios, although the action description of the implementation method provided in this application is executed by the wind turbine lightning damage prediction system 101, the implementation method of this application is not limited in terms of the execution subject, as long as the actions disclosed in the implementation method provided in this application are executed.

[0073] Secondly, the above scenario is only one example provided by the embodiments of this application, and the embodiments of this application are not limited to this scenario.

[0074] The following, in conjunction with the accompanying drawings, describes in detail the specific implementation of the method and apparatus for predicting lightning damage to wind turbine units in the embodiments of this application.

[0075] Exemplary methods

[0076] See Figure 2 This document illustrates a flowchart of a method for predicting lightning damage to wind turbines according to an embodiment of this application. In this embodiment, the method may include, for example, the following steps:

[0077] Step 201: Based on the location information of the wind farm, obtain the lightning meteorological data corresponding to each wind turbine from the meteorological information system; the lightning meteorological data is used to determine whether the wind turbine has been struck by lightning.

[0078] In this embodiment, to accurately and effectively predict lightning damage to wind turbines, it is necessary to determine whether a lightning strike has occurred on each wind turbine. The National Meteorological Administration has established lightning monitoring stations throughout the country for lightning warning purposes. These stations can detect lightning in real time, obtaining a wealth of lightning meteorological data, which is stored in the meteorological information system. Based on this, it is possible to determine whether a lightning strike has occurred on a wind turbine without configuring additional equipment on it. According to the location information of each wind turbine, the corresponding lightning meteorological data for each wind turbine is filtered from the meteorological information system, so that the lightning strike can be determined subsequently based on the corresponding lightning meteorological data for each wind turbine.

[0079] For lightning meteorological data to determine whether a wind turbine has been struck by lightning, it is necessary to consider data such as the type, location, and intensity of the lightning. Furthermore, to accurately and effectively predict lightning damage to wind turbines, the timing of the lightning strike also needs to be considered. Therefore, in an optional embodiment of this application, the lightning meteorological data includes lightning time, lightning type, lightning location, and lightning intensity. Lightning type is generally divided into cloud-to-ground lightning and ground-to-ground lightning, and lightning location is generally represented by latitude and longitude; for example, lightning location A is longitude 111.10 and latitude 29.43.

[0080] Furthermore, since not all lightning meteorological data stored in the meteorological information system are accurate, after obtaining the lightning meteorological data corresponding to each wind turbine, it is necessary to preprocess the lightning meteorological data to obtain preprocessed lightning meteorological data. For example, lightning meteorological data corresponding to lightning intensities that do not conform to the actual lightning intensity range are deleted. The preprocessed lightning meteorological data also need to be applied in the subsequent step 203.

[0081] Step 202: Obtain the alarm data corresponding to each wind turbine from the monitoring system; the alarm data is used to reflect the alarm generated by the wind turbine being affected by lightning.

[0082] In this embodiment, based on step 201, to accurately and effectively predict the lightning damage to each wind turbine in the wind farm, it is also necessary to determine whether each wind turbine has triggered a surge alarm. Since the monitoring system implements control modes such as grid connection, shutdown, and power generation of the wind turbines according to the control program, an alarm will also be triggered when a component in the wind turbine is damaged and malfunctions. Therefore, to determine whether a surge alarm has occurred in each wind turbine without configuring additional equipment on the wind turbines, it is first necessary to obtain the alarm data corresponding to each wind turbine from the monitoring system, so that the surge alarm can be determined subsequently based on the corresponding alarm data.

[0083] For alarm data used to determine whether surge alarms have occurred in each wind turbine, data such as the type of alarm needs to be considered; in addition, in order to accurately and effectively predict wind turbine damage from lightning strikes, the alarm time also needs to be considered. Therefore, in an optional embodiment of this application, the alarm data includes alarm type and alarm time.

[0084] Specifically, wind turbines are equipped with surge protection devices, such as voltage-limiting varistors and voltage-limiting diodes, to prevent overvoltage and overcurrent. That is, the pitch system, generator system, and converter system of the wind turbine have surge protection modules. When these modules are damaged by high current and high voltage caused by lightning strikes, surge alarms are generated and synchronized to the monitoring system. The tallest component of a wind turbine is the blade in the pitch system, which is highly susceptible to lightning strikes. Most lightning strikes will guide the lightning current to the ground through the blades and the entire turbine's lightning protection system. However, the thermal, electrical, and mechanical effects of some lightning strikes can damage the wind turbine. In this case, the lightning current may not be successfully guided to the ground, easily causing overvoltage and overcurrent, damaging the turbine's surge protection devices, and the wind turbine will then generate surge alarms, which are synchronized to the monitoring system.

[0085] In the embodiments of this application, the execution order of steps 201 and 202 is not limited. That is, step 201 can be executed first and then step 202 can be executed; step 202 can be executed first and then step 201 can be executed; or steps 201 and 202 can be executed simultaneously.

[0086] Step 203: Based on the lightning meteorological data and the alarm data, predict the wind turbines that will be damaged by lightning from the various wind turbine units.

[0087] In this embodiment, step 201 acquires various lightning meteorological data corresponding to each wind turbine, which can determine whether a lightning strike event has occurred on each wind turbine. Step 202 acquires alarm data corresponding to each wind turbine, which can determine whether a surge alarm has occurred on each wind turbine. Therefore, by combining and verifying the above two judgments, wind turbines damaged by lightning can be predicted from among the various wind turbines. Moreover, this method does not require additional equipment to be configured on the wind turbines, and can accurately and effectively determine whether the wind turbines have been damaged by lightning. It is easy to implement, low in cost, and simple to maintain.

[0088] In the specific implementation of step 203, the following three specific implementation methods can be adopted:

[0089] The first specific implementation involves, for each wind turbine, first determining whether a lightning strike has occurred, then determining whether a surge alarm has been triggered. The timing relationship between the surge alarm and the lightning strike is then used to determine whether the wind turbine has suffered lightning damage. Specifically, based on preset lightning strike conditions, combined with the lightning type, location, and intensity of each lightning meteorological data point, and the location of the wind turbine, it is determined whether a lightning strike has occurred. If so, the alarm type of the wind turbine is then used to determine whether a surge alarm has been triggered. Furthermore, the alarm time and the lightning strike time are combined to determine whether the timing relationship between the surge alarm and the lightning strike meets preset time conditions. If so, the wind turbine is determined to have suffered lightning damage. Therefore, in an optional implementation of this application, step 203 may include, for example, the following steps A-C:

[0090] Step A: For each wind turbine, based on the turbine location, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, determine whether a lightning strike event has occurred on the wind turbine.

[0091] The lightning strike event conditions refer to the preset thresholds that the distance between the wind turbine location and the lightning location, as well as the lightning intensity, must meet under different lightning types when a lightning strike occurs. In an optional embodiment of this application, the lightning strike event conditions include: the lightning type is cloud-to-cloud lightning, the distance between the wind turbine location and the lightning location is less than or equal to a first distance threshold, and the lightning intensity is greater than or equal to a first lightning intensity threshold; or, the lightning type is ground-to-ground lightning, the distance between the wind turbine location and the lightning location is less than or equal to a second distance threshold; or, the lightning type is ground-to-ground lightning, the distance between the wind turbine location and the lightning location is greater than a second distance threshold but less than or equal to a third distance threshold, and the lightning intensity is greater than or equal to a second lightning intensity threshold, wherein the third distance threshold is greater than the second distance threshold; or, the lightning type is ground-to-ground lightning, the distance between the wind turbine location and the lightning location is greater than a third distance threshold but less than or equal to a fourth distance threshold, and the lightning intensity is greater than or equal to a third lightning intensity threshold, wherein the third distance threshold is greater than the second distance threshold, and the third lightning intensity threshold is greater than the second lightning intensity threshold.

[0092] For example, if the lightning type is cloud-to-cloud lightning, and the distance between the wind turbine's location and the lightning location in the meteorological data is less than or equal to the first distance threshold of 1000 meters, and the lightning intensity in the meteorological data is greater than or equal to the first lightning intensity threshold of 100 kA, then the wind turbine is considered to have been struck by lightning. If the lightning type is ground-to-ground lightning, and the distance between the wind turbine's location and the lightning location in the meteorological data is less than or equal to the second distance threshold of 2000 meters, then the wind turbine is considered to have been struck by lightning. If the lightning type is ground-to-ground lightning, and the distance between the wind turbine's location and the lightning location in the meteorological data is greater than the second distance threshold of 2000 meters but less than or equal to the third distance threshold of 5000 meters, and the lightning intensity in the meteorological data is greater than or equal to the second lightning intensity threshold of 100 kA, then the wind turbine is considered to have been struck by lightning. When the lightning type is ground flash, if the distance between the wind turbine's location and the lightning location in the lightning meteorological data is greater than the third distance threshold of 5000 meters and less than or equal to the fourth distance threshold of 10000 meters, and the lightning intensity in the lightning meteorological data is greater than or equal to the second lightning intensity threshold of 200kA, then the wind turbine is considered to have been struck by lightning.

[0093] Step B: If yes, based on the alarm type and alarm time of the wind turbine generator and the lightning time of the lightning strike, determine whether the wind turbine generator has experienced a surge alarm, and whether the alarm time of the surge alarm and the lightning time of the lightning strike event meet the preset time conditions.

[0094] The preset time condition indicates that the damage to the wind turbine due to lightning strikes requires the surge alarm to occur within a certain period after the lightning strike event. Therefore, in an optional embodiment of this application, the preset time condition includes an alarm time after the lightning strike, and the time difference between the alarm time and the lightning strike being within a preset time range.

[0095] Step C: If so, predict the lightning damage to the wind turbine.

[0096] The second specific implementation method involves, for each wind turbine, first determining whether a surge alarm has occurred, then determining whether a lightning strike has occurred, and finally, combining the time relationship between the surge alarm and the lightning strike to determine whether the wind turbine has suffered lightning damage. That is, first, the alarm type of the wind turbine is used to determine whether a surge alarm has occurred; if so, then, based on preset lightning strike conditions, combined with the lightning type, location, and intensity of each lightning meteorological data point, and the location of the wind turbine, it is determined whether a lightning strike has occurred; and then, combining the alarm time of the wind turbine and the lightning strike time, it is determined whether the time relationship between the surge alarm and the lightning strike meets the preset time conditions; if so, the wind turbine is determined to have suffered lightning damage. Therefore, in an optional implementation of this application, step 203 may include, for example, the following steps D-F:

[0097] Step D: For each wind turbine, determine whether a surge alarm has occurred based on the alarm type of the wind turbine.

[0098] Step E: If yes, based on the location of the wind turbine generator set, the lightning type, lightning location, lightning intensity, lightning event conditions, and surge alarm time of each lightning meteorological data item, determine whether the wind turbine generator set has experienced a lightning strike event, and whether the lightning time of the lightning strike event and the surge alarm time meet the preset time conditions.

[0099] The lightning strike event conditions can be found in the detailed description of the lightning strike event conditions in step A above, and the preset time conditions can be found in the detailed description of the preset time conditions in step B above, which will not be repeated here.

[0100] Step F: If so, predict the lightning damage to the wind turbine.

[0101] The third specific implementation method is as follows: First, determine the wind turbines that have experienced lightning strikes and form one set; determine the wind turbines that have experienced surge alarms and form another set; then, determine the wind turbines that exist in both sets simultaneously; finally, combine the time relationship between surge alarms and lightning strikes of the wind turbines that exist in both sets to determine whether the wind turbine has been damaged by lightning.

[0102] That is, firstly, based on preset lightning strike event conditions, combined with the lightning type, location, and intensity of each lightning meteorological data point, and the location of each wind turbine, the wind turbines that experienced lightning strikes are identified, forming a first candidate wind turbine set; based on the alarm type of each wind turbine, the wind turbines that experienced surge alarms are identified, forming a second candidate wind turbine set. Then, the intersection of the first and second candidate wind turbine sets is calculated. The wind turbines in this intersection that experienced both lightning strikes and surge alarms are designated as target wind turbines. Finally, combining the alarm time of the surge alarm and the lightning strike time of the target wind turbine, it is determined whether the time relationship between the surge alarm and the lightning strike meets preset time conditions. If so, the target wind turbine is determined to have suffered lightning damage. Therefore, in an optional embodiment of this application, step 203 may include, for example, the following steps G-J:

[0103] Step G: Based on the location of each wind turbine, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, determine the wind turbines that have experienced lightning strikes to form a first candidate wind turbine set.

[0104] The conditions for a lightning strike event can be found in the detailed explanation of the lightning strike event conditions in step A above, and will not be repeated here.

[0105] Step H: Based on the alarm type of each wind turbine, determine the wind turbines that have experienced surge alarms to form a second candidate wind turbine set.

[0106] In the embodiments of this application, the execution order of steps G and H is not limited. That is, step G can be executed first and then step H; step H can be executed first and then step G; or steps G and H can be executed simultaneously.

[0107] Step 1: Perform an intersection operation on the first candidate wind turbine set and the second candidate wind turbine set, and use the wind turbine set in the intersection as the target wind turbine set.

[0108] Step J: If the alarm time of the surge alarm of the target wind turbine unit and the lightning time of the lightning strike event of the target wind turbine unit meet the preset time conditions, predict the lightning damage of the target wind turbine unit.

[0109] The preset time conditions can be found in the detailed explanation of the preset time conditions in step B above, and will not be repeated here.

[0110] As an example, such as Figure 3The diagram shows a specific flowchart of a method for predicting lightning damage to wind turbines. The diagram combines the location of the wind turbine, the corresponding lightning time, lightning type, lightning location, and lightning intensity, the corresponding alarm type and alarm time, lightning event conditions, and preset time conditions to predict whether the wind turbine will suffer lightning damage.

[0111] Through the various implementation methods provided in this embodiment, various lightning meteorological data corresponding to each wind turbine are obtained from the meteorological information system. This lightning meteorological data is used to determine whether a lightning strike has occurred on the wind turbine. Alarm data corresponding to each wind turbine is obtained from the monitoring system. This alarm data reflects the alarms generated by the wind turbine due to lightning strikes. Based on the various lightning meteorological data and alarm data, wind turbines that have suffered lightning damage are predicted. It is evident that by obtaining various lightning meteorological data corresponding to each wind turbine from the existing meteorological information system of the National Meteorological Administration, and obtaining corresponding alarm data from the existing monitoring system, and combining and verifying these data, a comprehensive judgment can be made as to whether each wind turbine has suffered lightning damage. This method does not require additional equipment to be configured on the wind turbine, and can accurately and effectively determine whether a wind turbine has suffered lightning damage. It is easy to implement, low in cost, and simple to maintain.

[0112] Exemplary device

[0113] See Figure 4 The diagram illustrates a structural schematic of a device for predicting lightning damage to wind turbines according to an embodiment of this application. In this embodiment, the device may specifically include, for example:

[0114] The first acquisition unit 401 is used to acquire various lightning meteorological data corresponding to each wind turbine from the meteorological information system; the lightning meteorological data is used to determine whether the wind turbine has been struck by lightning.

[0115] The second acquisition unit 402 is used to acquire alarm data corresponding to each wind turbine from the monitoring system; the alarm data is used to reflect the alarm generated by the wind turbine being affected by lightning.

[0116] The prediction unit 403 is used to predict the wind turbines damaged by lightning strikes from the various wind turbines based on the various lightning meteorological data and the various alarm data.

[0117] In one optional embodiment of this application, the lightning meteorological data includes lightning time, lightning type, lightning location, and lightning intensity; the alarm data includes alarm type and alarm time.

[0118] In an optional embodiment of this application, the prediction unit 403 is used for:

[0119] For each wind turbine, based on the turbine location, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, it is determined whether a lightning strike event has occurred on the wind turbine.

[0120] If so, based on the alarm type and alarm time of the wind turbine, and the lightning time of the lightning strike, determine whether the wind turbine has experienced a surge alarm, and whether the alarm time of the surge alarm and the lightning time of the lightning strike meet the preset time conditions.

[0121] If so, predict the lightning damage to the wind turbine.

[0122] In an optional embodiment of this application, the prediction unit 403 is used for:

[0123] For each wind turbine, determine whether a surge alarm has occurred based on the alarm type of the wind turbine.

[0124] If so, based on the location of the wind turbine generator set, the lightning type, lightning location, lightning intensity, lightning event conditions, and surge alarm time of each lightning meteorological data item, determine whether the wind turbine generator set has experienced a lightning strike event, and whether the lightning time of the lightning strike event and the surge alarm time meet the preset time conditions.

[0125] If so, predict the lightning damage to the wind turbine.

[0126] In an optional embodiment of this application, the prediction unit 403 is used for:

[0127] Based on the location of each wind turbine, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, the wind turbines that experienced lightning strikes are identified to form a first candidate wind turbine set.

[0128] Based on the alarm type of each wind turbine, the wind turbines that have triggered surge alarms are identified to form a second candidate wind turbine set;

[0129] Perform an intersection operation on the first set of candidate wind turbines and the second set of candidate wind turbines, and use the wind turbines in the intersection as the target wind turbines;

[0130] If the alarm time of the surge alarm of the target wind turbine unit meets the preset time condition with the lightning time of the lightning strike event of the target wind turbine unit, the lightning damage of the target wind turbine unit is predicted.

[0131] In one optional embodiment of this application, the lightning strike event conditions include:

[0132] The lightning type is cloud-to-cloud lightning; the distance between the generator unit and the lightning location is less than or equal to a first distance threshold; and the lightning intensity is greater than or equal to a first lightning intensity threshold; or,

[0133] The lightning type is ground flash, and the distance between the generator unit location and the lightning location is less than or equal to the second distance threshold; or,

[0134] The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a second distance threshold and less than or equal to a third distance threshold, the lightning intensity is greater than or equal to a second lightning intensity threshold, and the third distance threshold is greater than the second distance threshold; or,

[0135] The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a third distance threshold and less than or equal to a fourth distance threshold, the lightning intensity is greater than or equal to a third lightning intensity threshold, the third distance threshold is greater than a second distance threshold, and the third lightning intensity threshold is greater than a second lightning intensity threshold.

[0136] In one optional embodiment of this application, the preset time condition includes that the alarm time is after the lightning time, and the time difference between the alarm time and the lightning time is within a preset time range.

[0137] The device for predicting lightning damage to wind turbines, as provided in this embodiment, includes a first acquisition unit, a second acquisition unit, and a prediction unit. The first acquisition unit acquires various lightning meteorological data corresponding to each wind turbine from the meteorological information system. This lightning meteorological data is used to determine whether a lightning strike has occurred on the wind turbine. The second acquisition unit acquires alarm data corresponding to each wind turbine from the monitoring system. This alarm data reflects the alarms generated by the wind turbine due to lightning strikes. The prediction unit predicts wind turbines that will suffer lightning damage based on the various lightning meteorological data and alarm data. Therefore, by acquiring various lightning meteorological data corresponding to each wind turbine from the existing meteorological information system of the National Meteorological Administration and alarm data corresponding to each wind turbine from the existing monitoring system, and combining and verifying these data, a comprehensive judgment can be made as to whether each wind turbine has suffered lightning damage. This method does not require additional equipment to be configured on the wind turbine, and can accurately and effectively determine whether a wind turbine has suffered lightning damage. It is easy to implement, low in cost, and simple to maintain.

[0138] Furthermore, this application embodiment also provides a terminal device, the terminal device including a processor and a memory:

[0139] The memory is used to store program code and transmit the program code to the processor;

[0140] The processor is used to execute the method for predicting lightning damage to wind turbines as described in the above method embodiments according to the instructions in the program code.

[0141] This application also provides a computer-readable storage medium for storing program code for executing the method for predicting lightning damage to wind turbines as described in the above method embodiments.

[0142] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0143] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0144] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0145] The above description is merely a preferred embodiment of this application and is not intended to limit the application in any way. Although this application has disclosed preferred embodiments above, it is not intended to limit the application. Any person skilled in the art can make many possible variations and modifications to the technical solutions of this application using the methods and techniques disclosed above, or modify them into equivalent embodiments with equivalent changes, without departing from the scope of the technical solutions of this application. Therefore, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of this application without departing from the content of the technical solutions of this application shall still fall within the protection scope of the technical solutions of this application.

Claims

1. A method for predicting lightning damage to wind turbine generators, characterized in that, include: Obtain various lightning meteorological data corresponding to each wind turbine unit from the meteorological information system; The lightning meteorological data is used to determine whether the wind turbine has been struck by lightning. The lightning meteorological data includes lightning time, lightning type, lightning location, and lightning intensity. The alarm data corresponding to each wind turbine is obtained from the monitoring system; the alarm data is used to reflect the alarm generated by the wind turbine due to the impact of lightning, and the alarm data includes the alarm type and alarm time; Based on the aforementioned lightning meteorological data and alarm data, wind turbines that will be damaged by lightning are predicted from among the aforementioned wind turbines; the wind turbines that will be damaged by lightning are those whose surge alarm time and the lightning strike time meet preset time conditions.

2. The method according to claim 1, characterized in that, The wind turbines for predicting lightning damage from various wind turbine units based on the aforementioned lightning meteorological data and alarm data include: For each wind turbine, based on the turbine location, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, it is determined whether a lightning strike event has occurred on the wind turbine. If so, based on the alarm type and alarm time of the wind turbine and the lightning time of the lightning strike, determine whether the wind turbine has a surge alarm, and whether the alarm time of the surge alarm and the lightning time of the lightning strike meet the preset time conditions. If so, predict the lightning damage to the wind turbine.

3. The method according to claim 1, characterized in that, The wind turbines for predicting lightning damage from various wind turbine units based on the aforementioned lightning meteorological data and alarm data include: For each wind turbine, determine whether a surge alarm has occurred based on the alarm type of the wind turbine. If so, based on the location of the wind turbine generator set, the lightning type, lightning location, lightning intensity, lightning event conditions, and surge alarm time of each lightning meteorological data item, determine whether the wind turbine generator set has experienced a lightning strike event, and whether the lightning time of the lightning strike event and the surge alarm time meet the preset time conditions. If so, predict the lightning damage to the wind turbine.

4. The method according to claim 1, characterized in that, The wind turbines for predicting lightning damage from various wind turbine units based on the aforementioned lightning meteorological data and alarm data include: Based on the location of each wind turbine, the lightning type, location, intensity, and lightning event conditions of each lightning meteorological data item, the wind turbines that experienced lightning strikes are identified to form a first candidate wind turbine set. Based on the alarm type of each wind turbine, the wind turbines that have triggered surge alarms are identified to form a second candidate wind turbine set; Perform an intersection operation on the first set of candidate wind turbines and the second set of candidate wind turbines, and use the wind turbines in the intersection as the target wind turbines; If the alarm time of the surge alarm of the target wind turbine unit meets the preset time condition with the lightning time of the lightning strike event of the target wind turbine unit, the lightning damage of the target wind turbine unit is predicted.

5. The method according to any one of claims 2-4, characterized in that, The conditions for the lightning strike event include: The lightning type is cloud-to-cloud lightning; the distance between the generator unit and the lightning location is less than or equal to a first distance threshold; and the lightning intensity is greater than or equal to a first lightning intensity threshold; or, The lightning type is ground flash, and the distance between the generator unit location and the lightning location is less than or equal to the second distance threshold; or, The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a second distance threshold and less than or equal to a third distance threshold, the lightning intensity is greater than or equal to a second lightning intensity threshold, and the third distance threshold is greater than the second distance threshold; or, The lightning type is ground flash, the distance between the generator unit location and the lightning location is greater than a third distance threshold and less than or equal to a fourth distance threshold, the lightning intensity is greater than or equal to a third lightning intensity threshold, the third distance threshold is greater than a second distance threshold, and the third lightning intensity threshold is greater than a second lightning intensity threshold.

6. The method according to any one of claims 2-4, characterized in that, The preset time conditions include that the alarm time is after the lightning time, and the time difference between the alarm time and the lightning time is within a preset time range.

7. A device for predicting lightning damage to wind turbine units, characterized in that, include: The first acquisition unit is used to acquire various lightning meteorological data corresponding to each wind turbine from the meteorological information system. The lightning meteorological data is used to determine whether the wind turbine has been struck by lightning. The lightning meteorological data includes lightning time, lightning type, lightning location, and lightning intensity. The second acquisition unit is used to acquire alarm data corresponding to each wind turbine from the monitoring system; the alarm data is used to reflect the alarm generated by the wind turbine being affected by lightning, and the alarm data includes alarm type and alarm time; The prediction unit is used to predict wind turbines that will be damaged by lightning strikes from among the various wind turbines based on the various lightning meteorological data and the various alarm data; the wind turbines that will be damaged by lightning strikes are those wind turbines whose alarm time for surge alarms and the lightning time of the lightning strike event meet preset time conditions.

8. A terminal device, characterized in that, The terminal device includes a processor and a memory: The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the method for predicting lightning damage to wind turbines according to any one of claims 1-6, based on instructions in the program code.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store program code for performing the method for predicting lightning damage to wind turbines according to any one of claims 1-6.

Images