A method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing

Abstract

The present invention discloses a method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing. In order to overcome the problem of the impact of the light and shadow of the wind turbine on surrounding residents, the present invention calculates the solar hour angle, solar declination angle, solar altitude angle of the wind turbine, solar azimuth angle of the wind turbine, height of the wind turbine, shadow of the wind turbine, solar altitude angles and solar azimuth angles of three points of a residential house, and the distance between the wind turbine and the residential house, and adjusts the yaw direction of the wind turbine according to the calculation results. The advantage is that it can reduce the impact of light pollution on surrounding residents caused by the light and shadow of the wind turbine.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power, and particularly to a method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing. Background Art

[0002] With the strong support of the country for the development of wind power, wind farms are getting closer and closer to residential areas, especially distributed wind power. When a wind turbine generator is under sunlight, the projection generated by the rotation of the blades flashes continuously on the ground, and this phenomenon is also called the light and shadow flicker effect. Light and shadow flicker is a type of light pollution. When the light and shadow are projected onto the glass of residential houses, sports fields, and nearby roads, etc., if people live in the flickering light and shadow environment for a long time, it will affect the normal function of the central nervous system due to visual fatigue, and symptoms such as dizziness, boredom, and nausea will occur. In addition, the light and shadow flicker effect may also hide safety risks, such as distracting car drivers and increasing the probability of traffic accidents.

[0003] For example, a "control system and method for an environmentally friendly wind yaw motor unit" disclosed in a Chinese patent document, with the authorization announcement number CN103590975B and the authorization announcement date of March 29, 2017, includes a GPS system, a main control PLC, a data storage module, a judgment module, and a yaw motor; the GPS system and the data storage module are both connected to the input end of the main control PLC, the output end of the main control PLC is connected to the input end of the judgment module, and the output end of the judgment module is connected to the yaw motor; the data storage module transmits local residential area information to the main control PLC, the GPS system transmits the collected parameters to the main control PLC, the main control PLC transmits the data of the shadow area D and the local residential area information to the judgment module, and the judgment module compares and judges the data of the shadow area D and the local residential area information. Once it detects that there is an intersection between the data of the shadow area D and the local residential area information, it controls the yaw motor to perform a certain avoidance action. The consideration of this solution is not comprehensive enough, and it does not take into account weather reasons and cannot well solve the situation where the wind turbine shadow blocks residential houses. Summary of the Invention

[0004] The present invention mainly solves the problem of the impact of the light and shadow of a wind turbine on surrounding residents; provides a method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing. This method is based on the solar declination angle, solar hour angle, solar altitude angle, solar azimuth angle, the coordinates of surrounding residents, and the coordinates of the wind turbine itself. When the wind turbine shadow covers a resident's house, the wind turbine automatically yaws to the vertical angle of the solar azimuth angle.

[0005] The above technical problems of the present invention are mainly solved by the following technical solutions:

[0006] The present invention includes:

[0007] S1: Post QR codes around the residences of the residents near the wind farm. Through a smartphone, the coordinates of three points A, B, and C of the residential building can be automatically uploaded to the cloud with one key. Among them, point A is the earliest point where the light and shadow of the wind turbine start to affect the residential building, point B is the point on the residential building closest to the wind turbine when the light and shadow of the wind turbine affect the residential building, and point C is the point where the light and shadow of the wind turbine are about to leave the residential building.

[0008] S2: Upload the coordinate data of the residential building to be uploaded to the cloud and the longitude and latitude of the wind turbine itself to the wind turbine system, and install a photoresistor and a humidity sensor at the top or a suitable area around the nacelle.

[0009] S3: Judge the weather through the photoresistor and the humidity sensor, start the wind turbine system to calculate the solar hour angle, solar declination angle, solar altitude angle of the wind turbine, solar azimuth angle of the wind turbine, height of the wind turbine, shadow of the wind turbine, solar altitude angles and solar azimuth angles of the three points of the residential building, and the distance between the wind turbine and the residential building, and adjust the yaw direction of the wind turbine according to the calculation results.

[0010] With this solution, the weather conditions can be judged through the photoresistor and the humidity sensor. If there is no sun in the weather, the system will not be started; if the weather is sunny, the system will be started. The wind turbine system calculates the solar hour angle, solar declination angle, solar altitude angle of the wind turbine, solar azimuth angle of the wind turbine, height of the wind turbine, shadow of the wind turbine, solar altitude angles and solar azimuth angles of the three points of the residential building, and the distance between the wind turbine and the residential building. Analyze the calculation results to judge whether the shadow of the wind turbine blocks the residential building. If so, the yaw direction of the wind turbine needs to be adjusted. If not, the wind turbine does not need to be adjusted.

[0011] Preferably, the wind turbine system includes:

[0012] A main control module for performing arithmetic processing on data and controlling other modules;

[0013] A peripheral module for obtaining weather data around the wind turbine, and the peripheral module is connected to the main control module;

[0014] A communication module for uploading the data collected by the wind turbine or the calculation results to the cloud, and the communication module is connected to the main control module;

[0015] A storage module for storing the longitude and latitude data of the wind turbine itself and the wind turbine operation adjustment information, and the storage module is connected to the main control module.

[0016] This solution is used to obtain the weather data around the wind turbine through the peripheral module, and then judge whether the weather is sunny through the main control module. The communication module is used to establish connections between the wind turbine and the cloud and the server, and the storage module is used to save data.

[0017] Preferably, in the peripheral module:

[0018] A photoresistor is installed near the anemometer on the top of the nacelle and is used to judge whether the weather is sunny or cloudy.

[0019] A humidity sensor is installed on the top of the nacelle and is used to judge whether it is foggy on the current day.

[0020] The adopted solution is to obtain data through the photoresistor to judge the weather. If it is sunny, the system program is started; otherwise, if it is cloudy, the system program is not started. It is judged whether it is foggy on the current day through the humidity sensor. If it is not foggy, the system program is started; if it is foggy, the system program is not started.

[0021] Preferably, in S3: Set an interval time in the main control module of the fan. The main control module of the fan repeats to calculate the solar hour angle, solar declination angle, fan solar altitude angle, fan solar azimuth angle, fan height, fan shadow, solar altitude angle and solar azimuth angle of the three points of the residential house, and the distance between the fan and the residential house according to the interval time, the current number of days, the coordinates of the fan itself, the current time and the coordinates of the three points of the residential house. The main control module uploads the calculated data to the cloud through the communication module and saves the data backup in the storage module.

[0022] Number of days:

[0023] In the formula, t is the number of days in a year.

[0024] Adopting this solution is to prepare data for whether the fan system blocks the residential house and adjusts the yaw of the fan in the case of clear weather.

[0025] Preferably, the formula for calculating the solar declination angle is:

[0026]

[0027] The formula for calculating the solar hour angle is:

[0028] τ = (h + (l - 120) × 4 minutes + Δt - 12) × 15

[0029] In the formula, h is the time, l is the local latitude, and Δt is the true solar time difference.

[0030] The formula for calculating the fan solar altitude angle is:

[0031] θ = arcsin(sinv′ × sinδ + cosv′ × cosδ × cosτ)

[0032] In the formula, v′ is the fan latitude.

[0033] The formula for calculating the fan solar azimuth angle is:

[0034]

[0035] In the formula, is the solar azimuth angle of the fan;

[0036]

[0037] In the formula, m is the shadow length of the fan, and H is the height of the fan;

[0038] The distance between the fan and point B of the residential house is:

[0039]

[0040] In the formula, are the latitudes of point 1 and point 2, with the unit of radian; λ1 and λ2 are the longitudes of point 1 and point 2, and r is the radius of the earth;

[0041] The solar altitude angle of point A of the residential house is:

[0042] θ A = arcsin(sinv A ×sinδ + cosv A ×cosδ×cosτ)

[0043] In the formula, v A is the latitude of point A of the residential house;

[0044] The solar azimuth angle of point A of the residential house is:

[0045]

[0046] In the formula, is the solar azimuth angle of point A of the residential house;

[0047] The solar altitude angle of point B of the residential house is:

[0048] θ B = arcsin(sinv B ×sinδ + cosv B ×cosδ×cosτ)

[0049] In the formula, v B is the latitude of point A of the residential house;

[0050] The solar azimuth angle of point B of the residential house is:

[0051]

[0052] In the formula, is the solar azimuth angle of point A of the residential house.

[0053] Preferably, the formula for calculating the true solar time difference is as follows:

[0054] Δt = 0.0028 - 1.9857sinx + 9.9059sin2x - 7.0924cosx - 0.6882cos2x

[0055] Wherein, x is the correction coefficient of the date for the true solar time difference;

[0056] The formula for calculating the correction coefficient of the true solar time difference is as follows:

[0057] x = 2π×(t - (79.6764 + 0.2422×(k - 1985) - INT(0.25×(k - 1985))))

[0058] / 365.2422

[0059] Wherein, k is the year.

[0060] This solution is adopted to provide data support for whether the wind turbine needs to adjust the yaw direction by calculating the solar hour angle, solar declination angle, solar height angle of the wind turbine, solar azimuth angle of the wind turbine, height of the wind turbine, shadow of the wind turbine, solar height angles and solar azimuth angles of three points of the residential building, and the distance between the wind turbine and the residential building.

[0061] Preferably, in S3: when the solar azimuth angle of the wind turbine is equivalent to the solar azimuth angle of point A of the residential building, the main control module of the wind turbine judges whether the shadow length of the wind turbine is greater than the distance between the wind turbine and point B of the residential building; if it is greater, it is judged that the shadow has blocked the residential building, then the wind turbine yaws to 90° in the direction of the solar azimuth angle, uploads the wind turbine yaw data to the cloud through the communication module, and backs up and stores the wind turbine yaw data in the storage module; if it is less, it is judged that the shadow has not blocked the residential building, then the wind turbine operates normally; when the solar azimuth angle of the wind turbine is equivalent to the solar azimuth angle of point C of the residential building, the yaw alignment with the wind is restored.

[0062] This solution is adopted to judge whether the wind turbine needs to adjust the yaw according to the calculation result.

[0063] Preferably, if the shadow length of the wind turbine is greater than the distance between the wind turbine and point B of the residential building, the main control module controls the wind turbine to reduce the rotational speed of the wind wheel.

[0064] This solution is adopted to reduce the human eye flicker frequency by reducing the rotational speed of the wind wheel.

[0065] The beneficial effects of the present invention are: by calculating the solar hour angle, solar declination angle, solar height angle of the wind turbine, solar azimuth angle of the wind turbine, height of the wind turbine, shadow of the wind turbine, solar height angles and solar azimuth angles of three points of the residential building, and the distance between the wind turbine and the residential building, and adjusting the yaw direction of the wind turbine according to the calculation result, the light pollution impact on the surrounding residents caused by the light and shadow of the wind turbine is reduced. Brief Description of the Drawings

[0066] Figure 1 is the flow chart of the present invention.

[0067] Figure 2 is the system structure diagram of the present invention.

[0068] Figure 3 is the effect diagram of the present invention.

[0069] In the figure: 1. Main control module; 2. Peripheral module; 3. Communication module; 4. Storage module; 5. Wind turbine. Detailed Embodiment

[0070] The technical solution of the present invention will be further specifically described below through embodiments in combination with the accompanying drawings.

[0071] Embodiment:

[0072] A method for reducing the impact of the wind turbine light and shadow on the surrounding residents through yaw in this embodiment, as Figure 1 shown, includes:

[0073] S1: Post two-dimensional codes around the residences of the residents in the wind farm. Through the smart phone, the coordinates of three points A, B, and C of the residential buildings can be automatically uploaded to the cloud with one key. As Figure 3 shown, point A is the first point where the light and shadow of the wind turbine 5 start to affect the residential building, point B is the point closest to the wind turbine of the residential building when the light and shadow of the wind turbine 5 affect the residential building, and point C is the point where the light and shadow of the wind turbine 5 are about to leave the residential building.

[0074] S2: Write the coordinate data in the cloud and the longitude and latitude of the wind turbine 5 itself into the wind turbine program, coordinate with the on-site operators to brush in the main control program. The program will run regularly. Install a photoresistor and a humidity sensor at the top or a suitable area around the nacelle. Some wind turbines 5 are equipped with a de-icing system. If there is a de-icing system, judge whether it is a foggy day through the humidity sensor contained in the de-icing system.

[0075] Number of days:

[0076] In the formula, t is the number of days in a year;

[0077] The calculation formula for the true solar time difference correction coefficient is:

[0078] x = 2π×(t - (79.6764 + 0.2422×(k - 1985) - INT(0.25×(k - 1985)))) / 365.2422...(2)

[0079] In the formula, k is the year;

[0080] The calculation formula for the true solar time difference is:

[0081] Δt = 0.0028 - 1.9857sinx + 9.9059sin2x - 7.0924cosx - 0.6882cos2x……(3)

[0082] Where x is the correction coefficient of the true solar time difference for the date;

[0083] The formula for the solar declination angle is:

[0084]

[0085] The formula for the solar hour angle is:

[0086] τ = (h + (l - 120)×4 minutes + Δt - 12)×15……(5)

[0087] Where h is the time, l is the local latitude, and Δt is the true solar time difference;

[0088] The formula for the solar altitude angle of the fan 5 is:

[0089] θ = arcsin(sinv′×sinδ + cosv′×cosδ×cosτ)……(6)

[0090] Where v′ is the latitude of the fan;

[0091] The formula for the solar azimuth angle of the fan 5 is:

[0092]

[0093] Where is the solar azimuth angle of the fan;

[0094]

[0095] Where m is the shadow length of the fan and H is the height of the fan;

[0096] The distance between the fan 5 and point B of the residential building is:

[0097] L B = 2r×

[0098]

[0099] Where are the latitudes of point 1 and point 2 (in radians), λ1 and λ2 are the longitudes of point 1 and point 2, and r is the radius of the earth;

[0100] The solar altitude angle of point A of the residential building is:

[0101] θ A = arcsin(sinvA ×sinδ + cosv A ×cosδ×cosτ)……(10)

[0102] In the formula, v A is the latitude of point A of the residential building;

[0103] The solar azimuth angle of point A of the residential building is:

[0104]

[0105] In the formula, is the solar azimuth angle of point A of the residential building;

[0106] The solar altitude angle of point B of the residential building is:

[0107] θ B = arcsin(sinv B ×sinδ + cosv B ×cosδ×cosτ)……(12)

[0108] In the formula, v B is the latitude of point A of the residential building;

[0109] The solar azimuth angle of point B of the residential building is:

[0110]

[0111] In the formula, is the solar azimuth angle of point A of the residential building.

[0112] S3: Determine the weather through a photoresistor and a humidity sensor, set an interval time in the main control module 1 of the wind turbine 5. The main control module 1 calculates the solar hour angle, solar declination angle, solar altitude angle of the wind turbine 5, solar azimuth angle of the wind turbine 5, height of the wind turbine 5, shadow of the wind turbine 5, solar altitude angles and solar azimuth angles of the three points of the residential house, and the distance between the wind turbine 5 and the residential house repeatedly according to the interval time, current day number, coordinates of the wind turbine itself, current time, and coordinates of three points of the residential house. The system of the wind turbine 5 includes: a main control module 1, a peripheral module 2, a communication module 3, and a storage module 4; in the peripheral module 2: a photoresistor, installed near the anemometer on the top of the nacelle; a humidity sensor, installed on the top of the nacelle. The main control module 1 uploads the calculated data to the cloud through the communication module 3 and backs up the data in the storage module 4. When the solar azimuth angle of the wind turbine 5 is equivalent to the solar azimuth angle of point A of the residential house, the main control module 1 judges whether the shadow length of the wind turbine 5 is greater than the distance between the wind turbine 5 and point B of the residential house; if it is greater, it is judged that the shadow has blocked the residential house, then the wind turbine 5 yaws to 90° in the direction of the solar azimuth angle, the main control module 1 controls the wind turbine 5 to reduce the rotational speed of the wind turbine rotor, uploads the yaw data of the wind turbine 5 to the cloud through the communication module 3, and backs up the yaw data of the wind turbine 5 in the storage module 4; if it is less, it is judged that the shadow has not blocked the residential house, then the wind turbine 5 operates normally; when the solar azimuth angle of the wind turbine 5 is equivalent to the solar azimuth angle of point C of the residential house, then the yaw is restored to face the wind, and the judgment of the wind turbine shadow length is stopped.

[0113] Assume it is sunny at this time and there is no fog;

[0114] It is 12:00 noon on January 10, 2022 at this time;

[0115] At this time, the coordinates of a wind turbine with a height of 150 meters are longitude 120.12069151187899° and latitude 30.281425946608348°.

[0116] Run according to the program formulas (1)-(13),

[0117] Day number:

[0118] The calculation formula for the correction coefficient of the true solar time difference is:

[0119]

[0120] The calculation formula for the true solar time difference is:

[0121] Δt = 0.0028 - 1.9857sinx + 9.9059sin2x - 7.0924cosx - 0.6882cos2x = -0.94653

[0122] The calculation formula for the solar declination angle is:

[0123]

[0124] The calculation formula for the solar altitude angle of the fan is as follows:

[0125] θ = arcsin(sinv′×sinδ + cosv′×cosδ×cosτ) = 37.6212°

[0126] Solar azimuth angle of the fan

[0127]

[0128] The distance between the fan and point B of the residential house is:

[0129]

[0130] Solar altitude angle of the residential house = 37.62233°;

[0131] Azimuth angle of the residential house = 30.9913°.

[0132] In this embodiment, by calculating the solar hour angle, solar declination angle, solar altitude angle of the fan, solar azimuth angle of the fan, height of the fan, fan shadow, solar altitude angle, solar azimuth angle of three points of the residential house, and the distance between the fan and the residential house, when the solar azimuth angle of the fan is equivalent to the solar azimuth angle of point A of the residential house, continuously judge whether the length of the fan shadow is greater than the distance between the fan and point B of the residential house, so as to reduce the impact of the fan light and shadow on the light pollution of the surrounding residents.

[0133] It should be understood that the embodiments are only used to illustrate the present invention and not to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of this application.

Claims

1. A method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing, characterized in that, Including: S1: Post QR codes around the residences of the residents near the wind farm. Through a smartphone, the ABC three-point coordinates of the residents' houses can be automatically uploaded to the cloud with one key. Among them, point A is the earliest point where the wind turbine's light and shadow start to affect the residents' house, point B is the point on the residents' house closest to the wind turbine when the wind turbine's light and shadow affect the residents' house, and point C is the point where the wind turbine's light and shadow are about to leave the residents' house. S2: Upload the coordinate data of the residents' houses and the longitude and latitude of the wind turbine itself that need to be uploaded to the cloud to the wind turbine system, and install a photoresistor and a humidity sensor on the top of the nacelle. S3: Judge the weather through the photoresistor and the humidity sensor, and start the wind turbine system to calculate the solar hour angle, solar declination angle, wind turbine solar altitude angle, wind turbine solar azimuth angle, wind turbine height, wind turbine shadow, solar altitude angles and solar azimuth angles of the three points of the residents' house, and the distance between the wind turbine and the residents' house, and adjust the yaw direction of the wind turbine according to the calculation results.

2. The method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing according to claim 1, characterized in that, The wind turbine system includes: A main control module, which is used to perform arithmetic processing on data and control other modules; A peripheral module, which is used to obtain the weather data around the wind turbine, and the peripheral module is connected to the main control module; A communication module, which is used to upload the data collected by the wind turbine or the calculation results to the cloud, and the communication module is connected to the main control module; A storage module, which is used to store the longitude and latitude data of the wind turbine itself and the wind turbine operation adjustment information, and the storage module is connected to the main control module.

3. The method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing according to claim 2, characterized in that, In the peripheral module: A photoresistor, installed near the anemometer on the top of the nacelle, is used to judge whether it is sunny or cloudy; A humidity sensor, installed on the top of the nacelle, is used to judge whether it is foggy on the current day.

4. The method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing according to claim 2, characterized in that, In S3: Set an interval time in the main control module of the wind turbine. The main control module of the wind turbine repeats the calculation of the solar hour angle, solar declination angle, wind turbine solar altitude angle, wind turbine solar azimuth angle, wind turbine height, wind turbine shadow, solar altitude angles and solar azimuth angles of the three points of the residents' house, and the distance between the wind turbine and the residents' house according to the interval time, the current day, the coordinates of the wind turbine itself, the current time and the coordinates of the three points of the residents' house. The main control module uploads the calculated data to the cloud through the communication module and backs up the data in the storage module. Number of days: In the formula, t is the number of days in a year.

5. The method for reducing the impact of the light and shadow of a wind turbine on surrounding residents by yawing according to claim 4, characterized in that, The formula for calculating the solar declination angle is: The formula for calculating the solar hour angle is: τ=(h+(l - 120)×4 minutes+Δt - 12)×15 In the formula, h is the time, l is the local latitude, and Δt is the true solar time difference; The formula for calculating the wind turbine solar altitude angle is: θ = arcsin(sinv′×sinδ+cosv′×cosδ×cosτ) In the formula, v′ is the wind turbine latitude; The formula for calculating the wind turbine solar azimuth angle is: In the formula, is the fan solar azimuth angle; In the formula, m is the length of the wind turbine shadow, and H is the wind turbine height; The distance between the wind turbine and point B of the residents' house is: In the formula, are the latitudes of point 1 and point 2, in radians; λ1 and λ2 are the longitudes of point 1 and point 2, and r is the radius of the earth; The solar altitude angle of point A of the residents' house is: θ A = arcsin(sinv A × sinδ + cosv A × cosδ × cosτ) where, v A is the latitude of point A of the residential house; The solar azimuth angle of point A of the residents' house is: In the formula, is the solar azimuth angle at point A of the residential building; The solar altitude angle of point B of the residents' house is: θ B = arcsin(sinv B × sinδ + cosv B × cosδ × cosτ) where v B is the latitude of point A of the residential building; The solar azimuth angle of point B of the residents' house is: In the formula, is the solar azimuth angle at point A of the residential building.

6. A method for reducing the impact of the wind turbine's light and shadow on surrounding residents by yawing, characterized in that, The formula for calculating the true solar time difference is: Δt = 0.0028 - 1.9857sinx+9.9059sin2x - 7.0924cosx - 0.6882cos2x Where x is the correction coefficient of the true solar time difference for the date; The calculation formula for the correction coefficient of the true solar time difference is: x = 2π×(t - (79.6764 + 0.2422×(k - 1985) - INT(0.25×(k - 1985)))) / 365.2422 Where k is the year.

7. A method for reducing the impact of the wind turbine's light and shadow on surrounding residents by yawing, characterized in that, In S3: When the solar azimuth angle of the wind turbine is equivalent to the solar azimuth angle of point A of the residential house, the main control module of the wind turbine judges whether the shadow length of the wind turbine is greater than the distance between the wind turbine and point B of the residential house; if it is greater, it is judged that the shadow has blocked the residential house, then the wind turbine yaws 90° to the solar azimuth angle direction, uploads the wind turbine yaw data to the cloud through the communication module, and backs up the wind turbine yaw data in the storage module; if it is less, it is judged that the shadow has not blocked the residential house, then the wind turbine operates normally; if the solar azimuth angle of the wind turbine is equivalent to the solar azimuth angle of point C of the residential house, then the yaw resumes to face the wind.

8. A method for reducing the impact of the wind turbine's light and shadow on surrounding residents by yawing, characterized in that, If the shadow length of the wind turbine is greater than the distance between the wind turbine and point B of the residential house, the main control module controls the wind turbine to reduce the rotational speed of the wind wheel.

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