CN105626390A - Intelligent and safe wind power station - Google Patents

Abstract

The invention provides an intelligent and safe wind power station. The intelligent and safe wind power station comprises a wind power station body and a rapid wind speed time interval analog device arranged on the wind power station body. The rapid analog device comprises a structure parameter monitoring module, an average wind speed calculating module, a pulse wind speed time interval calculating module for various analog points, a wind speed time interval calculating module and a wind speed analog display module. The average wind speed calculating module, the pulse wind speed time interval calculating module for the various analog points and the wind speed time interval calculating module carry out calculation in the manner that the monitoring module monitors values, and the obtained wind speed time interval is displayed through the wind speed analog display module. According to the wind power station, the wind speed time interval of the wind power station can be rapidly simulated, the analog calculation workload is small, efficiency is high, precision is high, and intelligence and safety are achieved.

Description

A kind of wind power station of intelligent and safe

Technical field

The present invention relates to wind power station design field, be specifically related to the wind power station of a kind of intelligent and safe.

Background technology

In correlation technique, it is arranged at coastal or that high wind is regional wind power station and is often subject to the impact of wind. Wind time-domain analysis of shaking can be appreciated more fully from the wind vibration response characteristic of wind power station, more intuitively react the effectiveness of the wind vibration control of wind power station, consequently facilitating wind power station is carried out appropriate maintenance by attendant, strengthen the security performance of wind power station. Wind power station is carried out wind shake time-domain analysis time, it is necessary to the Wind Velocity History of wind power station is simulated.

Summary of the invention

For the problems referred to above, the present invention provides the wind power station of a kind of intelligent and safe.

The purpose of the present invention realizes by the following technical solutions:

A kind of wind power station of intelligent and safe, including wind power station body and the Wind Velocity History Fast simulation device device being arranged on wind power station body, described Fast simulation device includes:

(1) structural parameters monitoring modular, the test layer that multiple interval is identical is divided along body height direction, wind power station, at the home closing on wind power station body, described data acquisition unit is installed, select the center position simulation point as a Wind Velocity History of test layer, and corresponding each test layer lays described anemobiagraph and temperature sensor;

(2) mean wind speed calculates module, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\‾}{P}-0.378P_{wat})}{1+0.00366\stackrel{\‾}{T}}-F_b}{F_b}\right|$

Every test layer in the computing formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\[\underset{i=1}{\overset{N}{\Σ}}\[w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\θ}\left(i\right)\]-A\]}^2+{\[\underset{i=1}{\overset{N}{\Σ}}\[w\left(i\right)\cos \[\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\]\cos \mathrm{\θ}\left(i\right)\]-B\]}^2\}}^{1/2}\×Q$

Wherein, A is wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, then

T��T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\υ}}\left(g\right)=\frac{\mathrm{\λ}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\×(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\×5.76\×{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, �� is the terrain rough factor according to wind power station structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) Wind Velocity History computing module, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point;

(5) wind speed simulation display module, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor.

Wherein, described frequency intercept higher limit range for 3hZ��5hZ.

Wherein, the set point of described standard temperature value is 23 DEG C��27 DEG C.

The invention have the benefit that

1, on the body of wind power station, Wind Velocity History Fast simulation device it is mounted with, it is easy to the timely acquisition of wind power station Wind Velocity History feature, attendant can be appreciated more fully from the wind vibration response characteristic of wind power station, thus wind power station being carried out appropriate maintenance, strengthen the security performance of wind power station;

2, adopt anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient;

3, described analog is based on, on the basis of harmony superposition, being optimized the computing formula of mean wind speed and fluctuating wind speed, decreases the workload of calculating, improves the efficiency of the wind velocity history of wind power station;

4, introduce mean wind speed correction coefficient Q when calculating mean wind speed, introduce temperature correction coefficient K when calculating fluctuating wind speed time series so that the wind velocity history of wind power station is more accurate.

Accompanying drawing explanation

The invention will be further described to utilize accompanying drawing, but the embodiment in accompanying drawing does not constitute any limitation of the invention, for those of ordinary skill in the art, under the premise not paying creative work, it is also possible to obtain other accompanying drawing according to the following drawings.

Fig. 1 is the connection diagram of the Wind Velocity History each module of Fast simulation device of the present invention.

Accompanying drawing labelling:

Structural parameters monitoring modular 1, mean wind speed calculate module 2, the fluctuating wind speed time series computing module 3 of each simulation point, Wind Velocity History computing module 4, wind speed simulation display module 5.

Detailed description of the invention

The invention will be further described with the following Examples.

Embodiment one

Referring to Fig. 1, the wind power station of the present embodiment includes wind power station body and is arranged on the Wind Velocity History Fast simulation device device of wind power station body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, the test layer that multiple interval is identical is divided along body height direction, wind power station, at the home closing on wind power station body, described data acquisition unit is installed, select the center position simulation point as a Wind Velocity History of test layer, and corresponding each test layer lays described anemobiagraph and temperature sensor;

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the computing formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, then

T��T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, �� is the terrain rough factor according to wind power station structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point;

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor.

The wind power station intelligent and safe of the present embodiment, wind power station body is mounted with Wind Velocity History Fast simulation device, it is easy to the timely acquisition of wind power station Wind Velocity History feature, attendant can be appreciated more fully from the wind vibration response characteristic of wind power station, thus wind power station being carried out appropriate maintenance, strengthen the security performance of wind power station; Adopt anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient; Described analog, based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, improves the efficiency of the wind velocity history of wind power station; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of wind power station is more accurate, wherein the present embodiment established standards temperature T₀Being 23 DEG C, set intercepting upper frequency limit value as 3hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 95.8%.

Embodiment two

Referring to Fig. 1, the wind power station of the present embodiment includes wind power station body and is arranged on the Wind Velocity History Fast simulation device device of wind power station body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, the test layer that multiple interval is identical is divided along body height direction, wind power station, at the home closing on wind power station body, described data acquisition unit is installed, select the center position simulation point as a Wind Velocity History of test layer, and corresponding each test layer lays described anemobiagraph and temperature sensor;

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the computing formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, then

T��T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, �� is the terrain rough factor according to wind power station structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point;

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor.

The wind power station intelligent and safe of the present embodiment, wind power station body is mounted with Wind Velocity History Fast simulation device, it is easy to the timely acquisition of wind power station Wind Velocity History feature, attendant can be appreciated more fully from the wind vibration response characteristic of wind power station, thus wind power station being carried out appropriate maintenance, strengthen the security performance of wind power station; Adopt anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient; Described analog, based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, improves the efficiency of the wind velocity history of wind power station; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of wind power station is more accurate, wherein the present embodiment established standards temperature T₀Being 23 DEG C, set intercepting upper frequency limit value as 4hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 96%.

Embodiment three

Referring to Fig. 1, the wind power station of the present embodiment includes wind power station body and is arranged on the Wind Velocity History Fast simulation device device of wind power station body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, the test layer that multiple interval is identical is divided along body height direction, wind power station, at the home closing on wind power station body, described data acquisition unit is installed, select the center position simulation point as a Wind Velocity History of test layer, and corresponding each test layer lays described anemobiagraph and temperature sensor;

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the computing formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, then

T��T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, �� is the terrain rough factor according to wind power station structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point;

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor.

The wind power station intelligent and safe of the present embodiment, wind power station body is mounted with Wind Velocity History Fast simulation device, it is easy to the timely acquisition of wind power station Wind Velocity History feature, attendant can be appreciated more fully from the wind vibration response characteristic of wind power station, thus wind power station being carried out appropriate maintenance, strengthen the security performance of wind power station; Adopt anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient; Described analog, based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, improves the efficiency of the wind velocity history of wind power station; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of wind power station is more accurate, wherein the present embodiment established standards temperature T₀Being 23 DEG C, set intercepting upper frequency limit value as 5hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 94.8%.

Embodiment four

Referring to Fig. 1, the wind power station of the present embodiment includes wind power station body and is arranged on the Wind Velocity History Fast simulation device device of wind power station body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, the test layer that multiple interval is identical is divided along body height direction, wind power station, at the home closing on wind power station body, described data acquisition unit is installed, select the center position simulation point as a Wind Velocity History of test layer, and corresponding each test layer lays described anemobiagraph and temperature sensor;

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the computing formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, then

T��T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, �� is the terrain rough factor according to wind power station structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point;

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor.

The wind power station intelligent and safe of the present embodiment, wind power station body is mounted with Wind Velocity History Fast simulation device, it is easy to the timely acquisition of wind power station Wind Velocity History feature, attendant can be appreciated more fully from the wind vibration response characteristic of wind power station, thus wind power station being carried out appropriate maintenance, strengthen the security performance of wind power station; Adopt anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient; Described analog, based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, improves the efficiency of the wind velocity history of wind power station; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of wind power station is more accurate, wherein the present embodiment established standards temperature T₀Being 27 DEG C, set intercepting upper frequency limit value as 3hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 95.7%.

Embodiment five

Referring to Fig. 1, the wind power station of the present embodiment includes wind power station body and is arranged on the Wind Velocity History Fast simulation device device of wind power station body, and described Fast simulation device includes:

(1) structural parameters monitoring modular 1, it includes anemobiagraph, temperature sensor and data acquisition unit, the test layer that multiple interval is identical is divided along body height direction, wind power station, at the home closing on wind power station body, described data acquisition unit is installed, select the center position simulation point as a Wind Velocity History of test layer, and corresponding each test layer lays described anemobiagraph and temperature sensor;

(2) mean wind speed calculates module 2, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

$Q=1-\left|\frac{\frac{6.38e^{-9}(\stackrel{\&OverBar;}{P}-0.378P_{wat})}{1+0.00366\stackrel{\&OverBar;}{T}}-F_b}{F_b}\right|$

Every test layer in the computing formula of a mean wind speed adopting the time is:

$W_{\left(i\right)}=\frac{1}{N-2}{\{{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \left(\arcsin \right(\frac{w_z\left(i\right)}{w}\left)\right)\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-A\&rsqb;}^2+{\&lsqb;\underset{i=1}{\overset{N}{\&Sigma;}}\&lsqb;w\left(i\right)\cos \&lsqb;\arcsin \left(\frac{w_z\left(i\right)}{w}\right)\&rsqb;\cos \mathrm{\&theta;}\left(i\right)\&rsqb;-B\&rsqb;}^2\}}^{1/2}\&times;Q$

Wherein, A is wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module 3 of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, then

T��T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(g\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1-\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

$S_{\mathrm{\&upsi;}}\left(\mathrm{\&rho;}\right)=\frac{\mathrm{\&lambda;}g}{1+{\left(\frac{1200g}{W_{\left(i\right)}}\right)}^{8/3}}\&times;(1+\sqrt{\left|\frac{T-T_0}{T}\right|})\&times;5.76\&times;{10}^6$

Wherein, �� is the terrain rough factor according to wind power station structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit;

(4) Wind Velocity History computing module 4, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point;

(5) wind speed simulation display module 5, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described wechat processor.

The wind power station intelligent and safe of the present embodiment, wind power station body is mounted with Wind Velocity History Fast simulation device, it is easy to the timely acquisition of wind power station Wind Velocity History feature, attendant can be appreciated more fully from the wind vibration response characteristic of wind power station, thus wind power station being carried out appropriate maintenance, strengthen the security performance of wind power station; Adopt anemobiagraph, temperature sensor and data acquisition unit to carry out monitoring and the collection of wind velocity history data, instead of conventional art artificial excitation and expensive excitational equipment, reduce cost, practical convenient; Described analog, based on, on the basis of harmony superposition, the computing formula of mean wind speed and fluctuating wind speed being optimized, decreases the workload of calculating, improves the efficiency of the wind velocity history of wind power station; Introduce mean wind speed correction coefficient Q when calculating mean wind speed, when calculating fluctuating wind speed time series, introduce temperature correction coefficient K so that the wind velocity history of wind power station is more accurate, wherein the present embodiment established standards temperature T₀Being 27 DEG C, set intercepting upper frequency limit value as 5hZ, the simulation precision of the Wind Velocity History of each simulation point finally obtained brings up to 96.5%.

Finally should be noted that; above example is only in order to illustrate technical scheme; but not limiting the scope of the invention; although having made to explain to the present invention with reference to preferred embodiment; it will be understood by those within the art that; technical scheme can be modified or equivalent replacement, without deviating from the spirit and scope of technical solution of the present invention.

Claims (4)

1. a wind power station for intelligent and safe, including wind power station body and the Wind Velocity History Fast simulation device device being arranged on wind power station body, is characterized in that, described Fast simulation device includes:

(1) structural parameters monitoring modular, it includes anemobiagraph, temperature sensor and data acquisition unit, the test layer that multiple interval is identical is divided along body height direction, wind power station, at the home closing on wind power station body, described data acquisition unit is installed, select the center position simulation point as a Wind Velocity History of test layer, and corresponding each test layer lays described anemobiagraph and temperature sensor;

(2) mean wind speed calculates module, and it utilizes anemobiagraph to monitor out the wind speed total amount of every test layer, lateral angle and vertical wind speed, and taking 0.2s is sampling time interval, during the calculating of the wind speed that is averaged, introduces mean wind speed correction coefficient Q:

Every test layer in the computing formula of a mean wind speed adopting the time is:

Wherein, A is wind speed total amount w in the maximum of the component value in x direction and minimum sum, and B is wind speed total amount w in the maximum of y durection component value and minimum sum,For local average gas pressure,For local mean temperature, P_watFor local average water vapour pressure, F_bFor the coefficient of wind pres under standard state;

(3) the fluctuating wind speed time series computing module of each simulation point, including the pulsating wind power spectrum of the fluctuating wind speed time series generating described each simulation point;

(4) Wind Velocity History computing module, including microprocessor, described microprocessor utilizes harmony superposition that mean wind speed and the fluctuating wind speed time series at same position place are overlapped, and obtains the Wind Velocity History of each simulation point;

(5) wind speed simulation display module, including the isolated amplifier being sequentially connected with and digital display screen, the input of described isolated amplifier is connected with described microprocessor.

2. the wind power station of a kind of intelligent and safe according to claim 1, is characterized in that, when carrying out the simulation of pulsating wind power spectrum, introduces temperature correction coefficientWherein T₀For the standard temperature set, T is monitored, by described temperature sensor, the average temperature value obtained in real time, then

T��T₀Time, the optimization formula of described pulsating wind power spectrum is:

T<T₀Time, the optimization formula of described pulsating wind power spectrum is:

Wherein, �� is the terrain rough factor according to wind power station structure choice, and g is according to mean wind speed W_(i)The frequency chosen intercepts higher limit.

3. the wind power station of a kind of intelligent and safe according to claim 1, is characterized in that, described frequency intercept higher limit range for 3hZ��5hZ.

4. the wind power station of a kind of intelligent and safe according to claim 2, is characterized in that, the set point of described standard temperature value is 23 DEG C��27 DEG C.