CN102566597B - Photovoltaic generation intelligent adaptive tracking control method and control system thereof - Google Patents
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Abstract
The invention relates to a photovoltaic generation intelligent adaptive tracking control method. The method comprises the following steps that: a photovoltaic generation intelligent adaptive tracking control system is constructed; multiple sets of radiation intensity values in rainy and snowy weather and light intensity fluctuation values in cloudy weather are selected as well as mean values of the radiation intensity values and the light intensity fluctuation values are calculated; the weather situation is divided into three kinds: sunny weather, cloudy weather, and snowy and rainy weather; a visible tracking method and a photovoltaic tracking method are used to respectively determine theoretical positions of the sun and tracking angles; the two tracking angels are distributed to carry out weighting to obtain weighting coefficients as well as a weighting tracking angle is calculated; an environment monitoring module is used to collect information of environmental temperatures, wind power and wind directions and classification is carried out; a correction angle is selected and is added to the weighting tracking angle, so that a drive angle is obtained; and a photovoltaic cell is driven to make rotation. Besides, the invention also relates to a photovoltaic generation intelligent adaptive tracking control system comprising a weather monitoring module, a fuzzy integration evaluation tracking monitoring sun orientation module, an environment monitoring module, an intelligent adaptive tracking control module, and a motor drive control module. According to the invention, advantages of precise monitoring, less power consumption, high power generation efficiency and long service life of a driving mechanism are realized.
Description
Technical field
The present invention relates to a kind of photovoltaic generation intelligent adaptive tracking and controlling method and control system.
Background technology
Solar energy power generating be the most clean, the most real in the renewable energy source domain in the world today, one of generation mode of the prospect of large-scale developing and utilizing arranged most.In photovoltaic generation, the generated energy of photovoltaic battery matrix is relevant with the incident angle of sunshine, generated energy maximum when incident angle is 0 °.The photovoltaic generating automatic tracking control technology be exactly by the photovoltaic battery matrix plane towards control, regulate incident angle, to promote the efficiency of electricity generation system, reduce the photovoltaic generation cost.At present, the tracking and monitoring mode that the photovoltaic generating automatic tracking control technology adopts mainly contains to look and day follows the tracks of and two kinds of photoelectric trackings.Describedly look day to follow the tracks of be exactly the position on high according to the sun moving law calculating sun on daytime, and drive photovoltaic battery matrix to be followed the tracks of according to result, this tracking mode is a kind of tracking mode of open loop, easily produce error while calculating sun angle, and after the generation error, can not adjust in time, tracking accuracy is poor; Described photoelectric tracking is carried out real-time follow-up by the photoelectric monitor circuit to the sun exactly, this tracking mode is a kind of tracking mode of closed loop, can constantly revise the tracking orientation, but this tracking is not often followed the tracks of due to the weather problems appearance or the situation of error tracking, particularly under cloudy weather, photovoltaic battery matrix advances to follow the tracks of cloud layer edge bright spot, and the motor to-and-fro movement has caused the additional wear of energy dissipation and parts.Following the tracks of and photoelectric tracking all has some limitations owing to looking day, so have the people to propose to look daily motion and photoelectric tracking combines, take photoelectric tracking as main, is auxiliary depending on daily motion.Common way is to choose the standard of an electric signal threshold value as judgement, during the weather conditions such as cloudy when running into, cloudy, light intensity is little, and the electric signal produced on photosensitive tube can be lower than the threshold value of setting, system is automatically chosen and is looked a day tracking mode, after weather takes a turn for the better, uses photoelectric tracking.Yet the very difficult threshold value of determining a science, can't accurately follow the tracks of.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of photovoltaic generation intelligent adaptive tracking and controlling method and control system that has considered weather, environment, economy, with guarantee monitoring accurately, power consumption less, high, the driving mechanism long service life of generating efficiency.
The present invention is achieved in that
A kind of photovoltaic generation intelligent adaptive tracking and controlling method, its special character is that concrete steps are as follows:
1) build photovoltaic generation intelligent adaptive tracking control system, described photovoltaic generation intelligent adaptive tracking control system is by the weather monitoring module, the fuzzy comprehensive evoluation tracking and monitoring solar azimuth module be connected with the weather monitoring module, with fuzzy comprehensive evoluation tracking and monitoring solar azimuth module JA(junction ambient) monitoring modular, the intelligent adaptive be connected respectively with weather monitoring module, environment monitoring module is followed the tracks of control module, with intelligent adaptive, follows the tracks of the drive and control of electric machine module composition that control module is connected;
2) choose respectively the many group radiation intensity value u of local spring, summer, autumn and winter under rain, snow weather
sleetand the light-intensity variation value λ under cloudy weather
cloudy, and calculate its mean value
with
, using mean value as benchmark, input in the weather monitoring module;
3) gather real-time radiation intensity u, light-intensity variation value λ by the weather monitoring module, and respectively with radiation intensity mean value
, light-intensity variation mean value
compare, shown in following table, weather conditions be divided into to three kinds, fine, cloudy, sleet:
u >
 |
λ <
 |
Fine |
u >
 |
λ ≥
 |
Cloudy |
u ≤
 |
? | Sleet |
4) determine respectively the theoretical position of the sun by fuzzy comprehensive evoluation tracking and monitoring solar azimuth module according to looking the method for following the tracks of day with photoelectric tracking, and determine the tracking angle according to theoretical position and the photovoltaic battery matrix position of the sun;
5) extract by fuzzy comprehensive evoluation tracking and monitoring solar azimuth module radiation intensity and the weather conditions that the weather monitoring module records, and calculated the magnitude of sun power Meteorological Index by radiation intensity, magnitude and weather conditions according to the sun power Meteorological Index, distribute respectively according to looking day and follow the tracks of the tracking angle that calculates with the photoelectric tracking method with weighting coefficient, and calculate weighting and follow the trail of angle φ;
6) gather environment temperature, wind-force, wind direction information by environment monitoring module, and environment temperature is divided into to high temperature, two kinds of situations of normal temperature according to whether affecting the photovoltaic battery matrix generating efficiency, by wind-force according to whether causing to the supporting construction of photovoltaic battery matrix high wind, the two kinds of situations of weak wind of being divided into of damaging;
7) follow the tracks of by intelligent adaptive the information that control module is extracted relevant weather, environment temperature, wind-force in weather monitoring module, environment monitoring module, obtain correction angle φ ', correction angle φ ' is followed the trail of to angle φ addition with weighting, obtain driving angle θ;
8) drive and control of electric machine module drive photovoltaic battery matrix is according to driving angle θ to rotate.
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, after obtaining weighting and following the trail of angle, according to formula: the energy P consumed in the energy P-tracing process of net energy Δ P=photovoltaic battery matrix conversion
1, calculate net energy, relatively the energy P of the photovoltaic battery matrix of net energy Δ P and current location conversion
0size, as the energy P of the photovoltaic battery matrix of net energy Δ P and current location conversion
0followed the tracks of when ratio is greater than threshold value, otherwise do not followed the tracks of.
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, gather uniformly not radiation intensity u under same date different time sleety weather each season 5 ~ 15 times
sleet, the light-intensity variation value λ under cloudy weather
cloudy, gather 5 ~ 10 collection points, interval 2min ~ 10min between every two collection points at every turn.
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, the magnitude of described sun power Meteorological Index is, according to the meteorology method, solar energy is divided into to seven grades, be respectively very by force, by force, partially strong, medium, weak, weak, very weak.
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, described high temperature is the temperature more than 35 ℃.
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, described high wind refers to every photovoltaic cell is produced the wind of the above thrust of 2000N.
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, the distribution condition of described weighting weighting coefficient sees the following form:
| Sun power Meteorological Index magnitude | Weather condition | Depending on a day tracking weighting coefficient | The photoelectric tracking weighting coefficient |
| Very strong | Fine | 0.1～0.3 | 0.9～0.7 |
| By force | Fine | 0.1～0.3 | 0.9～0.7 |
| Partially strong | Fine | 0.2～0.4 | 0.8～0.6 |
| Partially strong | Cloudy | 0.6～0.8 | 0.4～0.2 |
| Medium | Fine | 0.4～0.6 | 0.6～0.4 |
| Medium | Cloudy | 0.1～0.3 | 0.1～0.3 |
| ? | Fine | 0.4～0.6 | 0.6～0.4 |
| ? | Cloudy | 1 | 0 |
| A little less than | Cloudy | 1 | 0 |
| A little less than | Sleet | 1 | 0 |
| Very weak | Sleet | 1 | 0 |
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, the computing formula that angle is followed the trail of in described weighting is φ=(A
1φ
1+ A
2φ
2), wherein, φ
1for according to looking day method of tracking, calculating tracking angle, φ
2calculate and follow the trail of angle, A for the method according to photoelectric tracking
1for distributing to φ
1weighting coefficient, A
2for distributing to φ
2weighting coefficient.
Above-mentioned photovoltaic generation intelligent adaptive tracking and controlling method, the system of selection of described correction angle φ ' is as following table:
| Sun power Meteorological Index magnitude | Environment temperature | Wind conditions | Correction angle φ ' |
| More than weak | Normal temperature | Weak wind | 0° |
| More than weak | Normal temperature | High wind | When wind-force is not impacted photovoltaic battery matrix, the minimum angles that photovoltaic battery matrix turns over |
| More than weak | High temperature | Weak wind | 0.01°～0.5° |
| More than weak | High temperature | High wind | When wind-force is not impacted photovoltaic battery matrix, the minimum angles that photovoltaic battery matrix turns over |
| Below weak | Normal temperature | Weak wind | 0° |
| Below weak | Normal temperature | High wind | Photovoltaic cell goes to the angle of wind direction parallel position-weighting and follows the trail of angle φ |
| Below weak | High temperature | Weak wind | 0.01°～0.5° |
| Below weak | High temperature | High wind | Photovoltaic cell goes to the angle of wind direction parallel position-weighting and follows the trail of angle φ |
A kind of photovoltaic generation intelligent adaptive tracking control system, comprise the drive and control of electric machine module, its special character is: it also is provided with the weather monitoring module, this weather monitoring module is by the radiation intensity sensor, the light-intensity variation sensor, the analog to digital converter be connected respectively with radiation intensity sensor, light-intensity variation sensor, what with analog to digital converter, be connected also judges the weather Check processing cell formation of weather accordingly for comparing and measuring value and mean value; Described weather monitoring module is connected with fuzzy comprehensive evoluation tracking and monitoring solar azimuth module, this fuzzy comprehensive evoluation tracking and monitoring solar azimuth module is by looking a day tracking means, photoelectronic tracking device, with forming for calculating the fuzzy comprehensive evoluation detection algorithm processing unit that weighting follows the trail of angle of looking a day tracking means, photoelectronic tracking device be connected respectively; Described fuzzy comprehensive evoluation tracking and monitoring solar azimuth module is connected with intelligent adaptive and follows the tracks of control module, and it is an intelligent adaptive tracking controlled processing unit for according to light intensity, temperature, wind-force, weighting tracking angle φ being revised that this intelligent adaptive is followed the tracks of control module; Described intelligent adaptive is followed the tracks of control module and is connected with environment monitoring module, this environment monitoring module is by temperature sensor, wind sensor, wind transducer, the analog to digital converter be connected respectively with temperature sensor, wind sensor, wind transducer, the environmental monitoring processing unit for distinguishing temperature height, wind-force size be connected with analog to digital converter forms; Described intelligent adaptive is followed the tracks of control module and is connected respectively with motor drive module with the weather monitoring module.
The invention has the beneficial effects as follows: chosen the many groups radiation intensity value u under local many group rain, snow weather
sleetand the light-intensity variation value λ under cloudy weather
cloudy, and calculate its mean value as benchmark, and selection of datum is reasonable, and the result of calculation reliability is high; Detect the solar azimuth module owing to having adopted fuzzy overall evaluation to follow the tracks of, replaced existing accurate threshold value with the fuzzy overall evaluation track algorithm, divide and be equipped with weighting coefficient according to weather condition with the tracking angle drawn of photoelectric tracking looking day tracking, and calculate weighting and follow the trail of angle, definite weighting is followed the trail of angle more accurately, rationally thus, avoided under cloudy weather adopting photoelectric tracking cloud layer edge bright spot, motor to-and-fro movement and the energy dissipation and the parts additional wear that cause; Reference environment temperature, wind-force, wind direction are followed the trail of angle to weighting and are revised, reduced the impact of high temperature on the photovoltaic battery matrix generating efficiency, avoid the infringement of high wind to the photovoltaic battery matrix supporting construction, improved generating efficiency, extended the serviceable life of photovoltaic battery matrix.
The accompanying drawing explanation
Fig. 1 is system construction drawing of the present invention;
Fig. 2 is fundamental diagram of the present invention.
In figure: weather monitoring module 1, radiation intensity sensor 101, light-intensity variation sensor 102, analog to digital converter 103, weather Check processing unit 104, fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2, depending on day tracking means 201, photoelectronic tracking device 202, fuzzy comprehensive evoluation detection algorithm processing unit 203, environment monitoring module 3, temperature sensor 301, wind sensor 302, wind transducer 303, analog to digital converter 304, environmental monitoring processing unit 305, intelligent adaptive is followed the tracks of control module 4, intelligent adaptive is followed the tracks of controlled processing unit 401, drive and control of electric machine module 5.
Embodiment
As shown in Figure 1, this photovoltaic generation intelligent adaptive tracking control system comprises drive and control of electric machine module 5, weather monitoring module 1, described weather monitoring module 1 is by radiation intensity sensor 101, light-intensity variation sensor 102, the analog to digital converter 103 be connected respectively with radiation intensity sensor 101, light-intensity variation sensor 102, the weather Check processing unit 104 that also judges accordingly weather for comparing and measuring value and mean value be connected with analog to digital converter 103 forms; Be connected with fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2 on weather monitoring module 1, described fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2 is by looking day tracking means 201, photoelectronic tracking device 202, with forming for calculating the fuzzy comprehensive evoluation detection algorithm processing unit 203 that weighting follows the trail of angle of looking day tracking means 201, photoelectronic tracking device 202 be connected respectively; Be connected with intelligent adaptive and follow the tracks of control module 4 on fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2, it is an intelligent adaptive tracking controlled processing unit 401 for according to light intensity, temperature, wind-force, weighting tracking angle φ being revised that described intelligent adaptive is followed the tracks of control module 4; Follow the tracks of on control module 4 and be connected with environment monitoring module 3 at intelligent adaptive, described environment monitoring module 3 is by temperature sensor 301, wind sensor 302, wind transducer 303, the analog to digital converter 304 be connected respectively with temperature sensor 301, wind sensor 302, wind transducer 303, the environmental monitoring processing unit 305 for distinguishing temperature height, wind-force size be connected with analog to digital converter 304 forms; Described intelligent adaptive is followed the tracks of control module 4 and is connected respectively with motor drive module with weather monitoring module 1.
As shown in Figure 2, the concrete steps of this photovoltaic generation intelligent adaptive tracking and controlling method are as follows:
1) build photovoltaic generation intelligent adaptive tracking control system, described photovoltaic generation intelligent adaptive tracking control system is by weather monitoring module 1, the fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2 be connected with weather monitoring module 1, with fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2 JA(junction ambient) monitoring modulars 3, the intelligent adaptive be connected respectively with weather monitoring module 1, environment monitoring module 3 is followed the tracks of control module 4, with intelligent adaptive, follows the tracks of drive and control of electric machine module 5 compositions that control module 4 is connected.
2) choose respectively the many groups radiation intensity value u under same date different time rain, snow weather not of local spring, summer, autumn and winter
sleetand the light-intensity variation value λ under cloudy weather
cloudy, described light-intensity variation value is the time dependent speed of light intensity, and calculates its mean value
with
, gathering uniformly 5 ~ 10 collection points of 5 ~ 15 each collections each season, interval 2min ~ 10min between every two collection points, input in weather monitoring module 1 mean value as benchmark.In the present embodiment to adopt 10 times, each 8 collection points, between every two collection points, interval 5min is example, obtains under Lateral Pressure Test in Jinzhou Area rainy weather in summer
for 7W/m
2, under cloudy weather
be 5 W/m
2h, reality is not limited by the present embodiment.
3) gather real-time radiation intensity u, light-intensity variation value λ by weather monitoring module 1, and respectively with radiation intensity mean value
, light-intensity variation mean value
compare, shown in following table, weather conditions be divided into to three kinds, fine, cloudy, sleet:
u >
 |
λ <
 |
Fine |
| u > | λ ≥
 |
Cloudy |
u ≤
 |
? | Sleet |
In the present embodiment, with real-time radiation intensity u=21W/m
2, light-intensity variation value λ=6 W/m
2h is example, and through more known, weather conditions in real time are cloudy.
4) respectively determine the theoretical position of the sun according to looking day tracking with the method for photoelectric tracking by fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2, and determine the tracking angle according to theoretical position and the photovoltaic battery matrix position of the sun, described tracking angle equates with the incident angle of current location sunshine.In the present embodiment, to look day definite tracking angle φ of tracking
1=2.4 °, the definite tracking angle φ of photoelectric tracking
2=2.8 ° is example, and reality is not limited by the present embodiment.
5) extract by fuzzy comprehensive evoluation tracking and monitoring solar azimuth module 2 radiation intensity and the weather conditions that weather monitoring module 1 records, and calculated the magnitude of sun power Meteorological Index by radiation intensity, the magnitude of described sun power Meteorological Index is, according to the meteorology method, solar energy is divided into to seven grades, be respectively very by force, by force, partially strong, medium, weak, weak, very weak; According to magnitude and the weather conditions of sun power Meteorological Index, according to following table, distribute respectively according to looking day and follow the tracks of the tracking angle that calculates with the photoelectric tracking method with weighting coefficient:
| Sun power Meteorological Index magnitude | Weather condition | Depending on a day tracking weighting coefficient | The photoelectric tracking weighting coefficient |
| Very strong | Fine | 0.1～0.3 | 0.9～0.7 |
| By force | Fine | 0.1～0.3 | 0.9～0.7 |
| Partially strong | Fine | 0.2～0.4 | 0.8～0.6 |
| Partially strong | Cloudy | 0.6～0.8 | 0.4～0.2 |
| Medium | Fine | 0.4～0.6 | 0.6～0.4 |
| Medium | Cloudy | 0.1～0.3 | 0.1～0.3 |
| ? | Fine | 0.4～0.6 | 0.6～0.4 |
| ? | Cloudy | 1 | 0 |
| A little less than | Cloudy | 1 | 0 |
| A little less than | Sleet | 1 | 0 |
| Very weak | Sleet | 1 | 0 |
And according to formula φ=(A
1φ
1+ A
2φ
2) calculating weighting tracking angle φ, wherein A
1for distributing to φ
1weighting coefficient, A
2for distributing to φ
2weighting coefficient.In the present embodiment, take sun power Meteorological Index magnitude for being partially by force example, weather conditions are cloudy, so A
1=0.7, A
2=0.3, calculate weighting according to formula and follow the trail of angle φ=2.52 °.
6) after obtaining weighting tracking angle, the energy P consumed in the energy P-tracing process according to the conversion of formula net energy Δ P=photovoltaic battery matrix
1, calculate net energy, calculate the energy P of the photovoltaic battery matrix conversion of net energy Δ P and current location
0ratio, followed the tracks of when ratio is greater than threshold value, otherwise do not followed the tracks of, described threshold value is 1～1.2, in the present embodiment, threshold value equals 1.In the present embodiment, the energy of changing with every photovoltaic cell is the energy of every photovoltaic cell mean consumption 2.1W in 230W, tracing process, the energy that current photovoltaic cell is changed is 227..7W, so net energy is greater than the energy of the photovoltaic battery matrix conversion of current location, drive and control of electric machine module 5 drives photovoltaic battery matrix to be followed the trail of.
7) gather environment temperatures, wind-force, wind direction information by environment monitoring module 3, and environment temperature is divided into to high temperature, two kinds of situations of normal temperature according to whether affecting the photovoltaic battery matrix generating efficiency, described high temperature is the temperature more than 35 ℃; By wind-force according to whether causing to the supporting construction of photovoltaic battery matrix high wind, the two kinds of situations of weak wind of being divided into of damaging, described high wind refers to every photovoltaic cell is produced the wind of the above thrust of 2000N, in the present embodiment, take angle that 24 ℃, moderate gale are example, wind direction and photovoltaic battery panel as 31 ° be example, reality is not limited by the present embodiment.
8) follow the tracks of by intelligent adaptive the information that control module 4 is extracted relevant weather, environment temperature, wind-force in weather monitoring modules 1, environment monitoring module 3, obtain correction angle φ ', the system of selection of described correction angle φ ' is as following table:
| Sun power Meteorological Index magnitude | Temperature conditions | Wind conditions | Correction angle φ ' |
| More than weak | Normal temperature | Weak wind | 0° |
| More than weak | Normal temperature | High wind | When wind-force is not impacted photovoltaic battery matrix, the minimum angles that photovoltaic battery matrix turns over |
| More than weak | High temperature | Weak wind | 0.01°～0.5° |
| More than weak | High temperature | High wind | When wind-force is not impacted photovoltaic battery matrix, the minimum angles that photovoltaic battery matrix turns over |
| Below weak | Normal temperature | Weak wind | 0° |
| Below weak | Normal temperature | High wind | Photovoltaic cell goes to the angle of wind direction parallel position-weighting and follows the trail of angle φ |
| Below weak | High temperature | Weak wind | 0.01°～0.5° |
| Below weak | High temperature | High wind | (photovoltaic cell goes to the angle of wind direction parallel position-weighting and follows the trail of angle φ) |
Correction angle φ ' is followed the trail of to angle φ addition with weighting, obtain driving angle θ.In the present embodiment, due to 6 grades of wind-force, the pressure that wind produces is 120N/ ㎡, and the area of every solar panel be take 25 ㎡ as example, and the thrust be subject to is 1545N, is less than 2000N, so correction angle φ '=0 ° drives angle θ=2.52 °.
9) drive and control of electric machine module drive photovoltaic battery matrix is according to the angular turn identical with driving angle θ.
Claims (10)
1. a photovoltaic generation intelligent adaptive tracking and controlling method is characterized in that:
1) build photovoltaic generation intelligent adaptive tracking control system, described photovoltaic generation intelligent adaptive tracking control system is by the weather monitoring module, the fuzzy comprehensive evoluation tracking and monitoring solar azimuth module be connected with the weather monitoring module, with fuzzy comprehensive evoluation tracking and monitoring solar azimuth module JA(junction ambient) monitoring modular, the intelligent adaptive be connected respectively with weather monitoring module, environment monitoring module is followed the tracks of control module, with intelligent adaptive, follows the tracks of the drive and control of electric machine module composition that control module is connected;
2) choose respectively the many group radiation intensity value u of local spring, summer, autumn and winter under rain, snow weather
sleetand the light-intensity variation value λ under cloudy weather
cloudy, and calculate its mean value
with
, using mean value as benchmark, input in the weather monitoring module;
3) gather real-time radiation intensity u, light-intensity variation value λ by the weather monitoring module, and respectively with radiation intensity mean value
, light-intensity variation mean value
compare, shown in following table, weather conditions be divided into to three kinds, fine, cloudy, sleet:
4) determine respectively the theoretical position of the sun by fuzzy comprehensive evoluation tracking and monitoring solar azimuth module according to looking the method for following the tracks of day with photoelectric tracking, and determine the tracking angle according to theoretical position and the photovoltaic battery matrix position of the sun;
5) extract by fuzzy comprehensive evoluation tracking and monitoring solar azimuth module radiation intensity and the weather conditions that the weather monitoring module records, and calculated the magnitude of sun power Meteorological Index by radiation intensity, magnitude and weather conditions according to the sun power Meteorological Index, distribute respectively according to looking day and follow the tracks of the tracking angle that calculates with the photoelectric tracking method with weighting coefficient, and calculate weighting and follow the trail of angle φ;
6) gather environment temperature, wind-force, wind direction information by environment monitoring module, and environment temperature is divided into to high temperature, two kinds of situations of normal temperature according to whether affecting the photovoltaic battery matrix generating efficiency, by wind-force according to whether causing to the supporting construction of photovoltaic battery matrix high wind, the two kinds of situations of weak wind of being divided into of damaging;
7) follow the tracks of by intelligent adaptive the information that control module is extracted relevant weather, environment temperature, wind-force in weather monitoring module, environment monitoring module, obtain correction angle φ ', correction angle φ ' is followed the trail of to angle φ addition with weighting, obtain driving angle θ;
8) drive and control of electric machine module drive photovoltaic battery matrix is according to driving angle θ to rotate.
2. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 1 is characterized in that: after obtaining weighting and following the trail of angle, and the energy P consumed in the energy P-tracing process according to the conversion of formula net energy Δ P=photovoltaic battery matrix
1, calculate net energy, calculate the energy P of the photovoltaic battery matrix conversion of net energy Δ P and current location
0ratio, followed the tracks of when this ratio is greater than threshold value, otherwise do not followed the tracks of.
3. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 2, it is characterized in that: described threshold value is 1～1.2.
4. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 1 is characterized in that: gather uniformly not radiation intensity u under same date different time sleety weather each season 5 ~ 15 times
sleet, the light-intensity variation value λ under cloudy weather
cloudy, gather 5 ~ 10 collection points, interval 2min ~ 10min between every two collection points at every turn.
5. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 1, it is characterized in that: the magnitude of described sun power Meteorological Index is, according to the meteorology method, solar energy is divided into to seven grades, be respectively very by force, by force, partially strong, medium, weak, weak, very weak.
6. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 1, it is characterized in that: described high temperature is the temperature more than 35 ℃, described high wind refers to every photovoltaic cell is produced the wind of the above thrust of 2000N.
7. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 1, it is characterized in that: the distribution condition of described weighting coefficient sees the following form:
。
8. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 1 is characterized in that: the computing formula that angle is followed the trail of in described weighting is φ=(A
1φ
1+ A
2φ
2), wherein, φ
1for according to looking day method of tracking, calculating tracking angle, φ
2calculate and follow the trail of angle, A for the method according to photoelectric tracking
1for distributing to φ
1weighting coefficient, A
2for distributing to φ
2weighting coefficient.
9. photovoltaic generation intelligent adaptive tracking and controlling method according to claim 1 is characterized in that: the system of selection of described correction angle φ ' is as following table:
。
10. a photovoltaic generation intelligent adaptive tracking control system, comprise the drive and control of electric machine module, it is characterized in that: it also is provided with the weather monitoring module, this weather monitoring module is by the radiation intensity sensor, the light-intensity variation sensor, the analog to digital converter be connected respectively with radiation intensity sensor, light-intensity variation sensor, what with analog to digital converter, be connected also judges the weather Check processing cell formation of weather accordingly for comparing and measuring value and mean value; Described weather monitoring module is connected with fuzzy comprehensive evoluation tracking and monitoring solar azimuth module, this fuzzy comprehensive evoluation tracking and monitoring solar azimuth module is by looking a day tracking means, photoelectronic tracking device, with forming for calculating the fuzzy comprehensive evoluation detection algorithm processing unit that weighting follows the trail of angle of looking a day tracking means, photoelectronic tracking device be connected respectively; Described fuzzy comprehensive evoluation tracking and monitoring solar azimuth module is connected with intelligent adaptive and follows the tracks of control module, and it is an intelligent adaptive tracking controlled processing unit for according to light intensity, temperature, wind-force, weighting tracking angle φ being revised that this intelligent adaptive is followed the tracks of control module; Described intelligent adaptive is followed the tracks of control module and is connected with environment monitoring module, this environment monitoring module is by temperature sensor, wind sensor, wind transducer, the analog to digital converter be connected respectively with temperature sensor, wind sensor, wind transducer, the environmental monitoring processing unit for distinguishing temperature height, wind-force size be connected with analog to digital converter forms; Described intelligent adaptive is followed the tracks of control module and is connected respectively with motor drive module with the weather monitoring module.
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| CN103838250A (en) * | 2014-03-27 | 2014-06-04 | 夏之秋 | Novel double-shaft device for tracking sun light |
| CN104199287B (en) * | 2014-07-30 | 2017-02-15 | 宁波成电泰克电子信息技术发展有限公司 | Fuzzy control method for visual axis stabilizing loop of photoelectric tracer |
| FR3038397B1 (en) * | 2015-07-02 | 2019-06-07 | Nextracker Inc. | METHOD FOR CONTROLLING THE ORIENTATION OF A SOLAR FOLLOWER BASED ON MAPPING MODELS |
| CN108153335B (en) * | 2017-12-24 | 2021-02-12 | 苏州佳亿达电器有限公司 | High-efficiency solar panel rotation control method |
| CN107894781B (en) * | 2017-12-24 | 2021-01-08 | 苏州佳亿达电器有限公司 | High-efficiency solar power generation device |
| CN110568865A (en) * | 2019-04-30 | 2019-12-13 | 天合光能股份有限公司 | Intelligent optimization method and intelligent tracking system for tracking angle of double-sided assembly |
| CN111399548A (en) * | 2020-03-27 | 2020-07-10 | 上海电力大学 | Control method of tracking type photovoltaic power generation system capable of identifying weather types |
| CN112051377B (en) * | 2020-09-29 | 2023-10-27 | 南昌工程学院 | Water environment monitoring frequency self-adjusting system adapting to weather changes |
| CN112925353A (en) * | 2021-01-28 | 2021-06-08 | 阳光电源（上海）有限公司 | Control method and device for tracking support, processor and photovoltaic tracking system |
| CN115224799B (en) * | 2022-07-21 | 2023-09-29 | 无锡物联网创新中心有限公司 | Intelligent photovoltaic control system |
| CN117031933B (en) * | 2023-06-13 | 2024-02-13 | 河北省建筑科学研究院有限公司 | Zero carbon is energy system controlling means for building |
| CN116736893B (en) * | 2023-08-09 | 2023-10-20 | 山西省安装集团股份有限公司 | Intelligent energy management method of optical storage device and optical storage device |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1983099A (en) * | 2006-02-06 | 2007-06-20 | 易斌宣 | Method for automatically fuzzy tracting and controlling strong focusing solar battery board |
| KR100886891B1 (en) * | 2008-06-20 | 2009-03-10 | 주식회사 케이디파워 | Control system of solar cell generation using genetic algorithm and neuro fuzzy controller |
| CN101577510A (en) * | 2009-06-10 | 2009-11-11 | 北京机械工业学院 | 24-hour-service solar photovoltaic power-generating self-tracking system |
| CN201421017Y (en) * | 2009-06-09 | 2010-03-10 | 长春工业大学 | Solar double-shaft auto-tracking LED illuminating system |
| CN201540488U (en) * | 2009-11-24 | 2010-08-04 | 中环光伏系统有限公司 | All-weather adaptive single-shaft solar tracking system |
| CN202093398U (en) * | 2011-05-18 | 2011-12-28 | 优太太阳能科技（上海）有限公司 | Solar tracking information monitoring and controlling device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH11307801A (en) * | 1998-04-20 | 1999-11-05 | Honda Motor Co Ltd | Sunlight tracking apparatus |
-
2012
- 2012-01-21 CN CN 201210019376 patent/CN102566597B/en not_active Expired - Fee Related
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1983099A (en) * | 2006-02-06 | 2007-06-20 | 易斌宣 | Method for automatically fuzzy tracting and controlling strong focusing solar battery board |
| KR100886891B1 (en) * | 2008-06-20 | 2009-03-10 | 주식회사 케이디파워 | Control system of solar cell generation using genetic algorithm and neuro fuzzy controller |
| CN201421017Y (en) * | 2009-06-09 | 2010-03-10 | 长春工业大学 | Solar double-shaft auto-tracking LED illuminating system |
| CN101577510A (en) * | 2009-06-10 | 2009-11-11 | 北京机械工业学院 | 24-hour-service solar photovoltaic power-generating self-tracking system |
| CN201540488U (en) * | 2009-11-24 | 2010-08-04 | 中环光伏系统有限公司 | All-weather adaptive single-shaft solar tracking system |
| CN202093398U (en) * | 2011-05-18 | 2011-12-28 | 优太太阳能科技（上海）有限公司 | Solar tracking information monitoring and controlling device |
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