CN111399548A - Control method of tracking type photovoltaic power generation system capable of identifying weather types - Google Patents
Control method of tracking type photovoltaic power generation system capable of identifying weather types Download PDFInfo
- Publication number
- CN111399548A CN111399548A CN202010227642.0A CN202010227642A CN111399548A CN 111399548 A CN111399548 A CN 111399548A CN 202010227642 A CN202010227642 A CN 202010227642A CN 111399548 A CN111399548 A CN 111399548A
- Authority
- CN
- China
- Prior art keywords
- weather
- type
- tracking
- control method
- solar
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000010248 power generation Methods 0.000 title claims abstract description 38
- 230000005855 radiation Effects 0.000 claims abstract description 24
- 238000004364 calculation method Methods 0.000 claims description 18
- 238000003064 k means clustering Methods 0.000 claims description 5
- 238000005265 energy consumption Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 4
- 238000009434 installation Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D3/00—Control of position or direction
- G05D3/12—Control of position or direction using feedback
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Photovoltaic Devices (AREA)
Abstract
The invention relates to the field of intelligent control, and discloses a control method of a tracking type photovoltaic power generation system capable of identifying weather types, which is used for controlling a photovoltaic module. The control method comprises the following steps: step 1, acquiring weather data of a local area; step 2, calculating a weather type index according to weather data, and dividing the weather of the area into different weather types; step 3, determining the real-time weather type of the area; step 4, calculating a solar altitude angle and a solar azimuth angle; step 5, selecting different tracking control modes according to weather types; step 6, judging the solar altitude: if the solar altitude is greater than or equal to 10 degrees, returning to the step 2; and if the solar altitude is less than 10 degrees, stopping working. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can adopt corresponding tracking strategies under different weather states so as to obtain the maximum radiation energy and reduce the adjustment and operation energy consumption of the tracking system.
Description
Technical Field
The embodiment of the invention relates to the field of intelligent control, in particular to a control method of a tracking type photovoltaic power generation system capable of identifying weather types.
Background
The incident total radiation is the energy source of the photovoltaic array and directly determines the photovoltaic system output. The factors influencing the incident total radiation of the photovoltaic array are mainly two, one is the azimuth angle of the photovoltaic array, and the other is the inclination angle of the photovoltaic array relative to the horizontal plane. The installation of photovoltaic modules in a photovoltaic power generation system is not only fixed, but also has an installation mode of tracking the position of the sun in real time, namely, a tracking mode is adopted to obtain the maximum incident radiation energy. In the horizon coordinate system, tracking of the solar altitude and azimuth is generally adopted, and the motion dimension can be classified into one-dimensional (rotating around a single axis) and two-dimensional (rotating around a double axis).
For the control and performance problems of the tracking photovoltaic system, a great deal of research has been carried out by researchers at home and abroad. However, the total solar radiation resources are different due to the differences of the geographical climate environments in different areas, and the differences of the distribution of the solar radiation components in different areas and weather climates are more obvious, so that the performance of one set of photovoltaic power generation system in different areas is obviously different due to the factors, and the most suitable tracking mode in each area is often fuzzy.
Disclosure of Invention
According to the control method of the tracking type photovoltaic power generation system capable of identifying the weather types, provided by the invention, the corresponding tracking strategies are adopted under different weather states, so that the maximum radiation energy can be obtained, and the adjustment and operation energy consumption of the tracking system are reduced.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type is used for controlling the photovoltaic module to enable the photovoltaic module to face the sun. A control method of a tracking type photovoltaic power generation system capable of identifying weather types comprises the following steps: step 1, obtaining weather data of a local area, wherein the weather data comprises total horizontal plane radiation, normal horizontal plane radiation, total cloud cover and definition, and entering step 2; step 2, calculating a direct incidence ratio, a corrected definition and total cloud amount data according to weather data, then calculating a weather type index according to the direct incidence ratio, the corrected definition and the total cloud amount data, finally dividing the weather of the area into a weather type 1, a weather type 2 and a weather type 3 through a K-means clustering algorithm, and entering step 3; step 3, acquiring measured data of the weather of the area, determining the real-time weather type of the area, and entering step 4; step 4, calculating the solar altitude angle and the solar azimuth angle of the current moment and the next integral point moment, and entering step 5; step 5, controlling the photovoltaic component by selecting different tracking control modes according to the weather type of the region, and entering step 6; step 6, judging the solar altitude: if the solar altitude is greater than or equal to 10 degrees, returning to the step 2; and if the solar altitude is less than 10 degrees, stopping working.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics:
wherein, the calculation formula of the definition is as follows:
wherein I is the total solar radiation in the horizontal plane, I0Is the solar radiation at the level of the outer layer of the atmosphere.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics:
wherein, the calculation formula of the correction definition is as follows:
wherein, k'TIs the corrected sharpness, and m is the atmospheric mass.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics:
the calculation formula of the weather type index is as follows: SCF ═ w1Bd+w2k'T+w3(1-C)
Wherein, w1、w2And w3Is a weight factor, and w1、w2And w3The sum of (1), C is the total cloud number, and Bd is the direct ratio.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics: wherein weather type 1 includes: sunny, cloudy-sunny, and cloudy-sunny; weather type 2 includes: cloudy, cloudy to cloudy, and cloudy to cloudy; weather type 3 includes light rain, gust rain, light snow, fog, haze, mid rain, weather above mid rain, mid snow, and weather above mid snow.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics: the solar altitude angle calculation method comprises the following steps: northern hemisphere:southern hemisphere:the solar azimuth calculation method comprises the following steps:wherein, αsIs the solar altitude, gamma is the solar azimuth,the local latitude is the local declination angle.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics: wherein, in step 5: when the current weather type is determined to be type 1, controlling the photovoltaic module to track the solar altitude angle and the solar azimuth angle in a double-axis tracking mode; when the current weather type is determined to be type 2, controlling the photovoltaic module to track the sun azimuth angle in a single tracking mode; and when the current weather type is determined to be 3, calculating the solar altitude angle and the solar azimuth angle at the end of the next hour through an astronomical algorithm, and adjusting the altitude angle and the azimuth angle of the photovoltaic module to be consistent with the solar altitude angle and the solar azimuth angle at the end of the next hour.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics: wherein the time for acquiring the weather data is approximately 1 year to 3 years.
The control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, can also have the following characteristics: in step 6, when the photovoltaic module stops working, the inclination angle is set to 180 degrees, and the azimuth angle is set to the east.
Action and Effect of the invention
According to the control method of the tracking type photovoltaic power generation system capable of identifying the weather type, provided by the invention, when the photovoltaic component is controlled, the following steps are included: step 1, acquiring weather data of the area, and entering step 2; step 2, receiving weather data to calculate a direct incidence ratio, a corrected definition and total cloud volume data, calculating a weather type index through the direct incidence ratio, the corrected definition and the total cloud volume data, dividing the weather of the area into a weather type 1, a weather type 2 and a weather type 3 through a K-means clustering algorithm, and entering step 3; step 3, acquiring measured data of the weather of the area, determining the weather type of the area, and entering step 4; step 4, calculating the positions of the solar altitude angle and the azimuth angle at the moment and the next integral point moment according to the current date and time, and entering step 5; step 5, controlling the photovoltaic component by selecting different tracking control modes according to the weather type of the area, and entering step 6; step 6, judging the solar altitude: if the solar altitude is greater than or equal to 10 degrees, returning to the step 2; if the solar altitude angle is less than 10 degrees, the control method stops working, so that the control method of the tracking type photovoltaic power generation system capable of identifying the weather type can adopt corresponding tracking strategies under different weather states, not only can obtain the maximum radiation energy, but also can reduce the adjustment and operation energy consumption of the tracking system.
Drawings
Fig. 1 is a flowchart of a control method of a tracking photovoltaic power generation system capable of identifying weather types according to an embodiment of the present invention; and
FIG. 2 is a schematic diagram illustrating solar azimuth and elevation calculations according to an embodiment of the present invention; and
FIG. 3 is a schematic diagram illustrating effects of a control method for a tracking-type photovoltaic power generation system capable of identifying weather types according to an embodiment of the present invention
Detailed Description
In order to make the technical means, the creation features, the achievement purposes and the effects of the invention easy to understand, the invention is specifically described below by combining the embodiment and the attached drawings.
< example >
Fig. 1 is a flowchart of a control method of a tracking photovoltaic power generation system capable of identifying weather types according to an embodiment of the present invention.
As shown in fig. 1, the control method of a tracking photovoltaic power generation system capable of identifying a weather type provided by this embodiment includes the following steps:
step 1, weather data of a local area in the last two years is acquired, wherein the weather data comprises: and (3) carrying out total horizontal plane radiation, normal horizontal plane radiation, total cloud amount and definition in the step (2).
And 2, receiving weather data, calculating a direct incidence ratio, a corrected definition and total cloud amount data, weighting the direct incidence ratio, the corrected definition and the total cloud amount data to calculate a weather type index, and dividing the weather of the area into a weather type 1, a weather type 2 and a weather type 3 through a K-means clustering algorithm. Weather type 1 includes: sunny, cloudy-sunny, and cloudy-sunny; weather type 2 includes: cloudy, cloudy to cloudy, and cloudy to cloudy; weather type 3 includes light rain, gust rain, light snow, haze, mid rain, weather above mid rain, mid snow, and weather above mid snow; step 3 is entered.
wherein I is the total solar radiation in the horizontal plane, I0Is the solar radiation at the level of the outer layer of the atmosphere.
wherein, k'TIs the corrected sharpness, m is the mass of the atmosphere,
the formula for calculating the weather type index is as follows: SCF ═ w1Bd+w2k'T+w3(1-C)
Wherein, w1、w2And w3Is a weight factor, and w1、w2And w3The sum of (1), C is the total cloud number, and Bd is the direct radiation ratio, i.e., the ratio of the normal radiation to the total radiation in the horizontal plane.
It should be noted that the weather type index is influenced by the exposure ratio, the correction definition and the total transportation amount, when a factor influences the weather type index with a large specific gravity, the weighting factor in front of the factor is larger, otherwise, the weighting factor is smaller.
And 3, acquiring measured data of the weather of the area, determining the real-time weather type of the area by the same method as the step 2, and entering the step 4.
And 4, calculating the positions of the solar altitude angle and the azimuth angle at the moment and the next integral point according to the current date and time, and entering the step 5.
Fig. 2 is a schematic diagram illustrating calculation of the solar azimuth angle and the solar altitude angle according to an embodiment of the invention.
As shown in fig. 2, the solar altitude calculation method is as follows:
the solar azimuth calculation method comprises the following steps:
wherein, αsIs the solar altitude, gamma is the solar azimuth,the local latitude is the local declination angle.
And 5, controlling the photovoltaic component by selecting different tracking control modes according to the weather type of the area, and entering the step 6.
Specifically, if the current weather type is 1 type obtained through calculation, the photovoltaic module is controlled to track the sun track in a double-axis tracking mode, namely, an astronomical algorithm and a physical mode (a photoelectric sensor is used for carrying out detail adjustment) are combined, the altitude angle and the azimuth angle of the sun are controlled to be tracked by the photovoltaic module, and the tracking step length is 15 minutes; if the current weather type is 2 type, controlling the photovoltaic module to track the sun track in a single tracking mode, namely calculating the sun altitude at the end of the next hour through an astronomical algorithm, controlling the inclination angle of the photovoltaic module to be kept unchanged at the corresponding position, and controlling the photovoltaic module to track the sun azimuth angle in combination with the astronomical algorithm and a physical mode, wherein the tracking step length is 15 minutes; and if the current weather type is 3, calculating the solar altitude angle and the solar azimuth angle at the end of the next hour by using an astronomical algorithm, and adjusting the altitude angle and the azimuth angle of the photovoltaic module to be consistent with the solar altitude angle and the solar azimuth angle at the end of the next hour.
Step 6, judging the solar altitude: if the solar altitude is greater than or equal to 10 degrees, returning to the step 2; if the solar altitude is smaller than 10 degrees, the operation is stopped, the inclination angle of the photovoltaic module is set to be 180 degrees, and the azimuth angle is set to be the east.
Fig. 3 is a schematic effect diagram of a control method of a tracking photovoltaic power generation system capable of identifying weather types according to an embodiment of the present invention.
As shown in fig. 3, it can be clearly seen that the profit of the weather type 1-1 is the most after being divided by the new index, and the second profit is decreased, which proves that the fixed control logic can bring more profit and less energy consumption loss when the weather is not good by using the dual tracking mode.
Effects and effects of the embodiments
According to the control method of the tracking type photovoltaic power generation system capable of identifying the weather type, when the photovoltaic component is controlled, the following steps are included: step 1, acquiring weather data of the area, and entering step 2; step 2, receiving weather data to calculate a direct incidence ratio, a corrected definition and total cloud volume data, calculating a weather type index through the direct incidence ratio, the corrected definition and the total cloud volume data, dividing the weather of the area into a weather type 1, a weather type 2 and a weather type 3 through a K-means clustering algorithm, and entering step 3; step 3, acquiring measured data of the weather of the area, determining the weather type of the area, and entering step 4; step 4, calculating the positions of the solar altitude angle and the azimuth angle at the moment and the next integral point moment according to the current date and time, and entering step 5; step 5, controlling the photovoltaic component by selecting different tracking control modes according to the weather type of the area, and entering step 6; step 6, judging the solar altitude: if the solar altitude is greater than or equal to 10 degrees, returning to the step 2; if the solar altitude angle is less than 10 degrees, the control method stops working, so that the control method of the tracking type photovoltaic power generation system capable of identifying the weather type can adopt corresponding tracking strategies under different weather states, not only can obtain the maximum radiation energy, but also can reduce the adjustment and operation energy consumption of the tracking system.
In the control method of the tracking type photovoltaic power generation system capable of identifying the weather type, which is provided by the invention, the weather type index is represented by the formula SCF-w1Bd+w2k'T+w3The (1-C) can be obtained, and therefore, the method has the advantages of easy quantification, small calculation amount and easy discrimination.
According to the control method of the tracking type photovoltaic power generation system capable of identifying the weather types, provided by the invention, different tracking modes can be selected according to different weather types, so that the mechanical loss can be reduced, and the service life of the double-shaft tracking system can be prolonged.
The above embodiments are preferred examples of the present invention, and are not intended to limit the scope of the present invention.
Claims (9)
1. A control method of a tracking type photovoltaic power generation system capable of identifying weather types is used for controlling photovoltaic modules, and is characterized by comprising the following steps:
step 1, obtaining weather data of a local area, wherein the weather data comprises total horizontal plane radiation, normal horizontal plane radiation, total cloud cover and definition, and entering step 2;
step 2, calculating a direct incidence ratio, a corrected definition and total cloud data according to the weather data, then calculating a weather type index according to the direct incidence ratio, the corrected definition and the total cloud data, finally dividing the weather of the area into a weather type 1, a weather type 2 and a weather type 3 through a K-means clustering algorithm, and entering step 3;
step 3, acquiring measured data of the weather of the area, determining the real-time weather type of the area, and entering step 4;
step 4, calculating the solar altitude angle and the solar azimuth angle of the current moment and the next integral point moment, and entering step 5;
step 5, controlling the photovoltaic module by selecting different tracking control modes according to the weather type of the area, and entering step 6;
step 6, judging the solar altitude:
if the solar altitude is greater than or equal to 10 degrees, returning to the step 2;
and if the solar altitude is less than 10 degrees, stopping working.
2. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 1, wherein:
wherein I is the total solar radiation in the horizontal plane, I0Is the solar radiation at the level of the outer layer of the atmosphere.
3. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 2, wherein:
wherein, the calculation formula of the correction definition is as follows:
wherein, k'TIs the correction resolution and m is the atmospheric mass.
4. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 3, wherein:
wherein, the calculation formula of the weather type index is as follows: SCF ═ w1Bd+w2k'T+w3(1-C)
Wherein, w1、w2And w3Is a weight factor, and w1、w2And w3The sum of (1), C is the total cloud number, and Bd is the direct ratio.
5. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 1, wherein:
wherein weather type 1 includes: sunny, cloudy-sunny, and cloudy-sunny;
weather type 2 includes: cloudy, cloudy to cloudy, and cloudy to cloudy;
weather type 3 includes light rain, gust rain, light snow, fog, haze, mid rain, weather above mid rain, mid snow, and weather above mid snow.
6. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 1, wherein:
the solar altitude angle calculation method comprises the following steps:
the solar azimuth calculation method comprises the following steps:
7. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 1, wherein:
wherein, in step 5:
when the current weather type is determined to be type 1, controlling the photovoltaic module to track the solar altitude angle and the solar azimuth angle in a double-axis tracking mode;
when the current weather type is determined to be type 2, controlling the photovoltaic module to track the solar azimuth angle in a single tracking mode;
and when the current weather type is determined to be 3, calculating the solar altitude angle and the solar azimuth angle at the end of the next hour through an astronomical algorithm, and adjusting the altitude angle and the azimuth angle of the photovoltaic module to be consistent with the solar altitude angle and the solar azimuth angle at the end of the next hour.
8. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 1, wherein:
wherein the time for acquiring the weather data is 1 year to 3 years.
9. The control method of the tracking type photovoltaic power generation system capable of identifying the weather type as claimed in claim 1, wherein:
in step 6, when the photovoltaic module stops working, the inclination angle is set to 180 degrees, and the azimuth angle is set to the east.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010227642.0A CN111399548A (en) | 2020-03-27 | 2020-03-27 | Control method of tracking type photovoltaic power generation system capable of identifying weather types |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010227642.0A CN111399548A (en) | 2020-03-27 | 2020-03-27 | Control method of tracking type photovoltaic power generation system capable of identifying weather types |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111399548A true CN111399548A (en) | 2020-07-10 |
Family
ID=71436701
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010227642.0A Pending CN111399548A (en) | 2020-03-27 | 2020-03-27 | Control method of tracking type photovoltaic power generation system capable of identifying weather types |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111399548A (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112765289A (en) * | 2020-11-30 | 2021-05-07 | 哈尔滨工业大学 | Climate partitioning method for air-temperature gasifier based on energy consumption index |
CN114353455A (en) * | 2021-12-08 | 2022-04-15 | 亳州职业技术学院 | Drying system and control method thereof |
WO2023284080A1 (en) * | 2021-07-14 | 2023-01-19 | 天合光能股份有限公司 | Tracking method and apparatus, electronic device, and storage medium |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101938142A (en) * | 2010-08-24 | 2011-01-05 | 浙江大学 | Desert synchronization photovoltaic power generating system with solar azimuth tracking device and tracking method thereof |
CN102566597A (en) * | 2012-01-21 | 2012-07-11 | 渤海大学 | Photovoltaic generation intelligent adaptive tracking control method and control system thereof |
US20140149038A1 (en) * | 2012-11-28 | 2014-05-29 | The Arizona Board Of Regents On Behalf Of The University Of Arizona | Solar irradiance measurement system and weather model incorporating results of such measurement |
CN107516145A (en) * | 2017-07-27 | 2017-12-26 | 浙江工业大学 | A kind of multichannel photovoltaic power generation output forecasting method based on weighted euclidean distance pattern classification |
CN108923738A (en) * | 2018-08-09 | 2018-11-30 | 上海电力学院 | A kind of double tracking photovoltaic generating system control methods differentiated based on weather pattern |
CN109978269A (en) * | 2019-03-29 | 2019-07-05 | 上海电力学院 | It is a kind of for photovoltaic power generation it is more area by when scattering ratio forecast Control Algorithm |
CN110471460A (en) * | 2019-07-18 | 2019-11-19 | 广东工业大学 | Photovoltaic power generation sun azimuth tracking system and tracking based on hill-climbing algorithm |
-
2020
- 2020-03-27 CN CN202010227642.0A patent/CN111399548A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101938142A (en) * | 2010-08-24 | 2011-01-05 | 浙江大学 | Desert synchronization photovoltaic power generating system with solar azimuth tracking device and tracking method thereof |
CN102566597A (en) * | 2012-01-21 | 2012-07-11 | 渤海大学 | Photovoltaic generation intelligent adaptive tracking control method and control system thereof |
US20140149038A1 (en) * | 2012-11-28 | 2014-05-29 | The Arizona Board Of Regents On Behalf Of The University Of Arizona | Solar irradiance measurement system and weather model incorporating results of such measurement |
CN107516145A (en) * | 2017-07-27 | 2017-12-26 | 浙江工业大学 | A kind of multichannel photovoltaic power generation output forecasting method based on weighted euclidean distance pattern classification |
CN108923738A (en) * | 2018-08-09 | 2018-11-30 | 上海电力学院 | A kind of double tracking photovoltaic generating system control methods differentiated based on weather pattern |
CN109978269A (en) * | 2019-03-29 | 2019-07-05 | 上海电力学院 | It is a kind of for photovoltaic power generation it is more area by when scattering ratio forecast Control Algorithm |
CN110471460A (en) * | 2019-07-18 | 2019-11-19 | 广东工业大学 | Photovoltaic power generation sun azimuth tracking system and tracking based on hill-climbing algorithm |
Non-Patent Citations (2)
Title |
---|
李芬等: "天文、气象环境因子与散射比关系的建模分析", 《太阳能学报》 * |
王飞等: "基于天气状态模式识别的光伏电站发电功率分类预测方法", 《中国电机工程学报》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112765289A (en) * | 2020-11-30 | 2021-05-07 | 哈尔滨工业大学 | Climate partitioning method for air-temperature gasifier based on energy consumption index |
CN112765289B (en) * | 2020-11-30 | 2023-11-17 | 哈尔滨工业大学 | Air temperature type gasifier climate zoning method based on energy consumption index |
WO2023284080A1 (en) * | 2021-07-14 | 2023-01-19 | 天合光能股份有限公司 | Tracking method and apparatus, electronic device, and storage medium |
CN114353455A (en) * | 2021-12-08 | 2022-04-15 | 亳州职业技术学院 | Drying system and control method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN108923738B (en) | Control method of dual-tracking photovoltaic power generation system based on weather type judgment | |
EP4167152A1 (en) | Optimization design method for photovoltaic system by taking system benefit optimization as target | |
US8101848B2 (en) | Solar photovoltaic output for cloudy conditions with a solar tracking system | |
Kelly et al. | Improved photovoltaic energy output for cloudy conditions with a solar tracking system | |
CN111399548A (en) | Control method of tracking type photovoltaic power generation system capable of identifying weather types | |
Huld et al. | Comparison of potential solar electricity output from fixed‐inclined and two‐axis tracking photovoltaic modules in Europe | |
CN110471460B (en) | Photovoltaic power generation sun direction tracking system and tracking method based on hill climbing algorithm | |
WO2023284080A1 (en) | Tracking method and apparatus, electronic device, and storage medium | |
CN108564299A (en) | A kind of photovoltaic resources appraisal procedure based on laser acquisition modeling | |
Perers | The solar resource in cold climates | |
Bugeja et al. | The effect of wave response motion on the insolation on offshore photovoltaic installations | |
CN110764536A (en) | Optimization method for flat single-axis photovoltaic tracking system | |
Quinn | Energy gleaning for extracting additional energy and improving the efficiency of 2-axis time-position tracking photovoltaic arrays under variably cloudy skies | |
CN111142576B (en) | Sun tracking correction algorithm and sun tracking method | |
Liu et al. | Optimizing the tilt angle of solar collector under clear sky by particle swarm optimization method | |
McIntosh et al. | The optimal tilt angle of monofacial and bifacial modules on single-axis trackers | |
CN113392364B (en) | Parameter calculation method of double-sided photovoltaic module system | |
EP4145699A1 (en) | Photovoltaic system for low solar elevation angles | |
CN111596384B (en) | Inclined plane radiation prediction method based on weather type effective identification | |
Mansouri et al. | Optimum tilt angle for fixed-array solar panels at a constant latitude of 29 to receive the maximum sunlight | |
CN116339394B (en) | Photovoltaic power generation method and device for automatically focusing inclination angle and azimuth angle | |
Carvalho et al. | An economical, two axes solar tracking system for implementation in Brazil | |
Huld et al. | Optimal mounting strategy for single-axis tracking nonconcentrating PV in Europe | |
CN103106657B (en) | Photovoltaic battery panel based on the period shade part detection method | |
Shi et al. | Optimization of 1-Axis Tracking with NS Rotating-Axis Orientation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200710 |
|
WD01 | Invention patent application deemed withdrawn after publication |