CN112651551A - Photovoltaic power station tracking prediction method and system - Google Patents
Photovoltaic power station tracking prediction method and system Download PDFInfo
- Publication number
- CN112651551A CN112651551A CN202011521245.0A CN202011521245A CN112651551A CN 112651551 A CN112651551 A CN 112651551A CN 202011521245 A CN202011521245 A CN 202011521245A CN 112651551 A CN112651551 A CN 112651551A
- Authority
- CN
- China
- Prior art keywords
- cloud
- photovoltaic power
- power station
- tracking
- irradiation
- 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
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Automation & Control Theory (AREA)
- Operations Research (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Photovoltaic Devices (AREA)
Abstract
The invention provides a method and a system for tracking and predicting a photovoltaic power station, wherein the method for tracking and predicting comprises the following steps: s110: acquiring the type, cloud speed and cloud profile of a cloud layer, and projecting the cloud profile onto a photovoltaic power station; s120: according to the cloud speed, predicting the shielding time of the cloud layer on the photovoltaic power station shielded by the cloud shadow; s130: if the shielding time of the cloud layer on the photovoltaic power station shielded by the cloud shadow is predicted to exceed a first time threshold, acquiring the sum of irradiation values of the front side or the front side and the back side of the photovoltaic power station shielded by the cloud shadow in different areas; s140: and adjusting the tracking angle of the photovoltaic panel of the photovoltaic power station sheltered by the cloud shadow according to the type of the cloud layer and the sum of the irradiation values. According to the technical scheme, the influence of the changing climate such as the cloud layer on the photovoltaic power station is judged in advance in time, different tracking strategies are executed on the photovoltaic power station in the cloud layer shielding state, the power generation efficiency of the photovoltaic power station is improved, and the impact of the uncontrollable grid-connected output power of the photovoltaic power station on a power grid is reduced.
Description
Technical Field
The invention relates to the technical field of new energy photovoltaic power generation, in particular to a method and a system for tracking and predicting a photovoltaic power station.
Background
The photovoltaic power station is a power generation system which is formed by using solar energy and electronic elements made of special materials such as a crystalline silicon plate, an inverter and the like, and is connected with a power grid and transmits power to the power grid. The photovoltaic power station belongs to the green power development energy project with the greatest encouragement in all countries in the world at present. It can be divided into an independent power generation system with a storage battery and a grid-connected power generation system without a storage battery. Solar power generation is classified into photo-thermal power generation and photovoltaic power generation. At present, the commercialized solar electric energy is introduced, namely solar photovoltaic power generation.
With the access of a large-scale photovoltaic power station to a power grid in recent years, the randomness and the fluctuation of photovoltaic power influence the safety, stability and economic operation of the power grid, and the research on photovoltaic influence factors is increasingly emphasized. The determining factor of the photovoltaic power is solar irradiance, among a plurality of influence factors of the irradiance, the cloud layer has the most obvious influence on the irradiance and has the strongest dynamic property, and the generation and movement change of the cloud layer is one of the root causes of uncertainty of the ground irradiance change. When the cloud layer shelters from the photovoltaic power station, the solar radiation of the photovoltaic power station is attenuated, so that the output power of the photovoltaic power station is unstable and difficult to predict. Therefore, it is necessary to construct a tracking prediction method and system.
Although some cloud shielding radiation methods are proposed in the research of tracking and predicting aspects of some photovoltaic power stations at home and abroad at present, the cloud shielding radiation methods only roughly classify the relation between cloud and radiation, and no specific tracking scheme is provided.
Disclosure of Invention
The technical problem solved by the invention is that when the cloud layer shields the photovoltaic power station, the solar radiation of the photovoltaic power station is attenuated, so that the output power of the photovoltaic power station is unstable and difficult to predict.
In order to solve the above technical problem, an embodiment of the present invention provides a method for tracking and predicting a photovoltaic power station, including: s110: acquiring the type, cloud speed and cloud profile of the cloud layer and the range of the cloud profile projected onto the photovoltaic power station, S120: according to the cloud speed, predicting the shielding time of the cloud layer on the photovoltaic power station; s130: if the shielding time of the cloud layer on the photovoltaic power station is predicted to exceed a first time threshold, acquiring the sum of irradiation values of the front side and/or the front side and the back side of the photovoltaic power station in different areas; s140: and adjusting the tracking angle of a photovoltaic panel of the photovoltaic power station according to the type of the cloud layer and the sum of the irradiation values.
Optionally, the type of the cloud layer is layer cloud, and the tracking angle of the photovoltaic panel of the photovoltaic power station is adjusted according to the type of the cloud layer and the sum of the irradiation values, including: s150: and when the sum of the irradiation values is larger than the first irradiation threshold and smaller than the second irradiation threshold, controlling the tracking angle of the photovoltaic panel of the photovoltaic power station to return to the first angle.
Optionally, the type of the cloud layer is a cloud or a rain cloud, and the adjusting of the tracking angle of the photovoltaic panel of the photovoltaic power station according to the sum of the type irradiation values of the cloud layer includes: s160: and when the sum of the irradiation values is smaller than a third irradiation threshold value, controlling the tracking angle of a photovoltaic panel of the photovoltaic power station to be close to the horizontal angle, and stopping tracking, wherein the third irradiation value is smaller than the first irradiation value.
Optionally, when the type of the cloud layer is rolling cloud, adjusting a tracking angle of a photovoltaic panel of the photovoltaic power station according to the sum of the type irradiation values of the cloud layer, including: s170: and when the sum of the irradiation values is greater than a fourth irradiation threshold value, controlling a photovoltaic panel of the photovoltaic power station to normally track, wherein the fourth irradiation value is greater than or equal to the second irradiation value.
Optionally, if the blocking time of the photovoltaic power station is less than the second time threshold, the method includes: s180: and controlling a photovoltaic panel of the photovoltaic power station to normally track, wherein the second time threshold value is less than or equal to the first time threshold value.
The embodiment of the invention also provides a system for tracking and predicting the photovoltaic power station, which comprises the following steps: the first acquisition module is used for acquiring the type of a cloud layer, the cloud speed, the cloud profile and the range of the cloud profile projected onto the photovoltaic power station; a prediction module: the device is used for predicting the shielding time of the cloud layer on the photovoltaic power station according to the cloud speed; the second acquisition module is used for acquiring the sum of irradiation values of the front side or the front side and the back side of the photovoltaic power station in different areas when the shielding time of the cloud layer on the photovoltaic power station is predicted to exceed a first time threshold; and the adjusting module is used for adjusting the tracking angle of the photovoltaic panel of the photovoltaic power station according to the type irradiation value sum of the cloud layer.
Optionally, the adjusting module is connected to the second obtaining module, and when the cloud layer is a layer cloud and the sum of the irradiation values is greater than the first irradiation threshold and smaller than the second irradiation threshold, the adjusting module is further configured to control the tracking angle of the photovoltaic panel of the photovoltaic power station to return to the first angle.
Optionally, when the type of the cloud layer is cloud or rain cloud and the sum of the irradiation values is smaller than a third irradiation threshold, the adjusting module is further configured to control the tracking angle of the photovoltaic panel of the photovoltaic power station to be close to the horizontal angle, and stop tracking, where the third irradiation value is smaller than the first irradiation value.
Optionally, when the type of the cloud layer is cirrus cloud and the sum of the irradiation values is greater than the fourth irradiation threshold, the adjusting module is further configured to adjust a tracking system of the photovoltaic power station to perform normal tracking.
Optionally, if the shielding time of the photovoltaic power station is less than the second time threshold, the adjusting module is further configured to control a tracking system of the photovoltaic power station to perform normal tracking.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
through tracking prediction, the optimal position facing the sun of the photovoltaic power station in the cloud layer shadow is found, the power generation efficiency of the photovoltaic power station is improved, and the impact of the uncontrollable defects of the output power of the grid-connected solar power generation system and the like on a power grid is reduced.
Drawings
FIG. 1 is a schematic illustration of a cloud layer type;
fig. 2 is a flowchart of a method for tracking and predicting a photovoltaic power station according to an embodiment of the present invention;
FIG. 3 is a flow chart of another method for tracking and forecasting a photovoltaic power plant according to an embodiment of the present invention;
fig. 4 is a block diagram of a photovoltaic power plant tracking and predicting system in the embodiment of the present invention.
Detailed Description
In the embodiment of the present invention, the system embodiment is only illustrative, for example, the division of the module is only one logical function division, and there may be other division ways when the actual implementation is realized. The module may be stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network-connected device) to perform steps of a method associated with embodiments of the present invention.
In order to make the objects, features and advantages of the embodiments of the present invention more comprehensible, embodiments of the present invention are described in detail below with reference to the accompanying drawings.
In the description of the present invention, components having the same name have the same or similar functions, positional relationships, and connection relationships; signals having the same or similar labels have the same or similar functions, transmitting means and receiving means.
Photovoltaic power stations are usually built in wide areas, transmission tower stations and the like around the photovoltaic power stations can also be built into near-end shadow fields for the photovoltaic power stations, the shielding influence of the near-end shadow fields on the photovoltaic power stations is clear, and the shielding influence of the near-end shadow fields on the photovoltaic power stations needs to be avoided as far as possible in the beginning of the design of the photovoltaic power stations. Various peripheral environments, especially objects with large height such as trees and the like, construct a far-end shadow field of the photovoltaic power station, and factors above the photovoltaic power station, such as cloud shielding and the like, also become main reasons influencing the stability and efficiency of the photovoltaic power station.
Compared with clear sky, the radiation quantity received by the ground is reduced by about 80% by the cloud layer shielding the sun. Because the cloud layer directly influences the solar radiation, the shielding of the cloud layer on the solar radiation is the key of radiation research, the power generation prediction is influenced by ground radiation prediction, and the radiation prediction is influenced by the future distribution of the cloud and the sun. In cloudy and rainy seasons, the climate is well monitored, the influence of cloud and rain on the photovoltaic power station is avoided in time, the generated energy of the photovoltaic power station is judged in advance, the generated energy output of the photovoltaic power station is adjusted in time, the safety, the stability and the high-efficiency operation of the grid-connected power station are ensured, and the function of the large photovoltaic power station is gradually achieved.
As shown in fig. 1, according to the cloud layer characteristics, the following four major types of cloud layers, namely rolling clouds, layer clouds, cumulant clouds and rain clouds, which have a large influence on the photovoltaic power station are mainly monitored, and the four types of clouds have a large influence on the photovoltaic power station. Cirrus (Cirrus): the sun shade is light and thin, is in a silk thread shape, attenuates radiation by about 10 percent, and basically can identify a circular sun outline by rolling cloud and shading sun; stratus (Stratus): a large cloud, which attenuates radiation by about 50%, the sun cannot recognize a complete circular outline, and bright spot debris is left around the sun; cumulus (Cumulus), globose, cloudy, the most common in summer, attenuates radiation by about 90%; rain cloud (Nimbus): the high-thickness dark clouds almost completely attenuate radiation, and the sun is completely shielded by the clouds and is difficult to identify; each type of cloud layer is located at a different height and has different light transmittance and cloud transmission characteristics. Different weather types correspond to different cloud layer types, for example, only rolling clouds, layer clouds and accumulated clouds can appear in sunny weather, but cloud layers which appear in rainy days can not appear.
As shown in fig. 2, an embodiment of the present invention provides a method 100 for tracking and predicting a photovoltaic power plant, which includes:
s110, acquiring the type, cloud speed and cloud profile of a cloud layer, and the range of projecting the cloud profile onto a photovoltaic power station;
s120, predicting and obtaining the shielding time of the cloud layer on the photovoltaic power station according to the cloud speed;
s130, if the shielding time of the cloud layer on the photovoltaic power station is predicted to exceed a first time threshold, acquiring the sum of irradiation values of the front side and/or the front side and the back side of the photovoltaic power station in different areas;
and S140, adjusting the tracking angle of the photovoltaic panel of the photovoltaic power station according to the type of the cloud layer and the sum of the irradiation values.
In the step S110, the shooting of the aerial cloud picture can be realized by using a fisheye camera or an aerial camera to judge the cloud layer type, cloud type identification is performed by using cloud identification software, fine feature extraction is performed on cloud layer characteristics such as cloud profile, cloud speed and cloud thickness by using equipment such as a ceilometer or an all-sky imager, and the range of the cloud profile projected onto the photovoltaic power station is used for judging which photovoltaic power stations are in cloud layer shadows;
in the step S120, the blocking time of the cloud layer on the photovoltaic power station is obtained, the cloud cluster is predicted by acquiring an image through a dedicated device, and the blocking time of the cloud cluster on the photovoltaic power station is predicted by using an image analysis technique, and if the cloud speed is high and the predicted blocking time is short, for example, less than 1 minute, the influence of the cloud layer on the photovoltaic power station is small, and the original tracking strategy can be kept unchanged. If the cloud speed is slow and the predicted shielding time is long, for example, more than 5 minutes, the influence of the cloud layer on the photovoltaic power station is large, and different tracking strategies need to be implemented according to different cloud layers.
In the execution of step S130, most of the photovoltaic power stations are double-sided photovoltaic panels, and the irradiation values of the front side and the back side of different areas are added, and if only one-sided photovoltaic panel is used, the sum of the irradiation values of the front side of different areas is obtained. The irradiation sensing equipment for acquiring the sum of the irradiation values of the front side or the front side and the back side can adopt devices with photoelectric and photothermal conversion capabilities, such as an irradiator or a reference plate, so as to acquire a real-time irradiation value.
In the execution of step S140, the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow is adjusted according to the type of the cloud layer and the irradiation value sum. Different tracking strategies are executed on the photovoltaic power station in the cloud layer shielding state, and the overall output curve of the photovoltaic power station is adjusted, so that the power generation amount of the photovoltaic power station is maximized.
The main consideration for power prediction of a photovoltaic power station under cloud shading is the influence of dynamic cloud on the irradiance of a photovoltaic array when the cloud passes through a photovoltaic power station area. When the photovoltaic array is shielded by the cloud cluster, the real-time output current, voltage, power and position number of the inverter connected with the photovoltaic array are transmitted to the data terminal through the communication system. And by combining the sequence of the sheltering of the photovoltaic arrays at different positions, the initial position, the movement direction and the movement speed of the cloud cluster can be predicted. Meanwhile, the output power of the photovoltaic array which is not shielded in the cloud cluster motion trail at the future moment is predicted by collecting the change of the output parameters of each photovoltaic inverter after the photovoltaic array is shielded, so that accurate photovoltaic power station power prediction is made when the dynamic cloud cluster passes through a photovoltaic power station area, and the impact of the uncontrollable defects of the output power of the grid-connected photovoltaic power station and the like on a power grid is reduced.
Fig. 3 provides another photovoltaic plant tracking prediction method 200 according to an embodiment of the present invention.
S110: acquiring the type, cloud speed and cloud profile of a cloud layer, and projecting the cloud profile onto a photovoltaic power station;
s120: predicting the shielding time of the cloud layer on the photovoltaic power station according to the cloud speed;
s130: if the shielding time of the cloud layer on the photovoltaic power station is predicted to exceed a first time threshold, acquiring the sum of irradiation values of the front side or the front side and the back side of the photovoltaic power station in different areas;
s150: the cloud layer is in the type of layer cloud, and when the sum of the irradiation values is larger than a first irradiation threshold value and smaller than a second irradiation threshold value, the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow is adjusted to return to a first angle.
S160: and the cloud layer is in the cloud accumulation or rain cloud type, and when the sum of the irradiation values is smaller than a third irradiation threshold value, the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow is adjusted to be close to the horizontal angle, and the tracking is stopped.
S170: and the cloud layer is in a rolling cloud type, and when the sum of the irradiation values is larger than a fourth irradiation threshold value, a tracking system of the photovoltaic power station shielded by the cloud shadow is adjusted to perform normal tracking.
S180: and the shielding time of the photovoltaic power station shielded by the cloud shadow is less than a second time threshold value, and the tracking system of the photovoltaic power station is kept tracking normally.
Steps S110-S130 are performed the same as steps S110-S130 in the method 100 of tracking predictions.
In the execution of step S130, if the shielding time exceeds the first time threshold, for example, exceeds five minutes, it is determined that the influence of the shielding of the cloud layer on the photovoltaic power station is large, and further, the tracking angle of the tracking system of the photovoltaic power station is adjusted according to the sum of the type irradiation values of the cloud layer.
In the execution of step S150, when the type of the cloud layer is layer cloud and the sum of the irradiation values is greater than the first irradiation threshold and smaller than the second irradiation threshold, the tracking angle of the tracking system of the photovoltaic power station blocked by the cloud shadow is adjusted to return to the first angle. The specific value of the irradiation threshold can be obtained empirically, for example, the first irradiation threshold is 300W/m2The second irradiation threshold is 500W/m2The first angle may be empirically derived, for example, 5-20 °. The total irradiation intensity received by the front side and the back side of the double-sided photovoltaic cell panel is increased, and the power generation capacity of the photovoltaic power station is improved.
In the execution of step S160, when the type of the cloud layer is cloud or rain cloud and the irradiation value sum is smaller than the third irradiation threshold, adjusting the tracking angle of the photovoltaic panel of the photovoltaic power station blocked by the cloud shadow to be close to the horizontal angle, and stopping tracking until the type of the cloud layer changes or the irradiation value increases. The third irradiance value being less than the first irradiance value. The irradiation intensity received by the front side and the back side of the double-sided photovoltaic cell panel is maximized, wherein the specific value of the third irradiation threshold can be obtained empirically, for example, the third irradiation threshold is 100W/m2The irradiation level of the irradiation value 100 is very low, the tracking angle of a photovoltaic panel of the photovoltaic power station is adjusted to be close to the level, the maximum irradiation intensity received by the front side and the back side of the double-sided photovoltaic panel is increased, the power generation capacity of the photovoltaic power station is improved, and when a rainfall sensor detects that heavy rain comes, a tracking system of the photovoltaic power station shielded by cloud shadow enters a rainy day cleaning mode. .
In the execution of step S170, when the type of the cloud layer is a rolling cloud and the sum of the irradiation values is greater than the fourth irradiation threshold, adjusting the photovoltaic power station to normally track. The fourth irradiance value being greater than or equal to the second irradiance value. The specific value of the fourth illumination threshold can be obtained empirically, for example, 500W/2 and more than 500W/m2And the irradiation value can be normally tracked, namely, the photovoltaic tracking system rotates along with the direction of the sun.
In the execution of step S180, when the shielding time of the photovoltaic power station shielded by the cloud shadow is smaller than a second time threshold, adjusting normal tracking of the photovoltaic power station, where the second time threshold is smaller than the first time threshold. If the second time threshold value can be 1 minute, the influence of the cloud layer shielding on the photovoltaic power station is not large, and the tracking system can be kept to track normally, namely the photovoltaic tracking system rotates along with the direction of the sun.
As shown in fig. 4, an embodiment of the present invention further provides a user system 300, where the first obtaining module is configured to obtain a type, a cloud speed, a cloud profile of a cloud layer, and a range of the cloud profile projected onto a photovoltaic power station, and the predicting module is configured to predict, according to the cloud speed, a blocking time of the cloud layer on the photovoltaic power station; the second acquisition module is used for acquiring the sum of irradiation values of the front side or the front side and the back side of the photovoltaic power station in different areas shielded by the cloud shadow when the shielding time of the cloud layer on the photovoltaic power station is predicted to exceed a first time threshold; and the adjusting module is used for adjusting the tracking angle of the tracking system of the photovoltaic power station according to the type of the cloud layer and the irradiation value sum.
The adjusting module is further used for adjusting the tracking angle of the tracking system of the photovoltaic power station to return to the first angle when the type of the cloud layer is layer cloud and the sum of the irradiation values is larger than the first irradiation threshold and smaller than the second irradiation threshold.
The adjusting module is further used for adjusting the tracking angle of the tracking system of the photovoltaic power station to be close to the horizontal level and stopping tracking when the type of the cloud layer is cloud or rain cloud and the irradiation value sum is smaller than a third irradiation threshold value. The third irradiance value being less than the first irradiance value. When the rainfall sensor detects that heavy rain comes, the tracking system of the photovoltaic power station sheltered by the cloud shadow enters a rainy day cleaning mode
The adjusting module is further used for adjusting a tracking system of the photovoltaic power station shielded by the cloud shadow to normally track when the type of the cloud layer is cirrus cloud and the sum of the irradiation values is larger than a fourth irradiation threshold, wherein the fourth irradiation value is larger than or equal to the second irradiation value.
The adjusting module is further used for adjusting a tracking system of the photovoltaic power station shielded by the cloud shadow to normally track when the shielded time of the photovoltaic power station shielded by the cloud shadow is smaller than a second time threshold.
The method and the system for tracking and predicting the photovoltaic power station can bring at least one of the following beneficial effects: the influence of the changing climates such as cloud layers on the photovoltaic power station is judged in time, different tracking strategies are executed on the photovoltaic power station in the cloud layer shielding process, the overall output curve of the photovoltaic power station is adjusted, the generated energy of the photovoltaic power station is maximized, and the impact of the defects of uncontrollable output power of a grid-connected solar power generation system and the like on a power grid is reduced.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (10)
1. A method for tracking and predicting a photovoltaic power station is characterized by comprising the following steps:
s110: acquiring the type, cloud speed and cloud profile of a cloud layer, and the range of the cloud profile projected onto a photovoltaic power station;
s120: predicting the shielding time of the cloud layer on the photovoltaic power station according to the cloud speed;
s130: if the shielding time of the cloud layer on the photovoltaic power station is predicted to exceed a first time threshold, acquiring the sum of irradiation values of the front side or the front side and the back side of the photovoltaic power station in different areas shielded by the cloud shadow;
s140: and adjusting the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow according to the type of the cloud layer and the sum of the irradiation values.
2. The method of claim 1, wherein the type of cloud layer is a layer cloud; adjusting the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow according to the type of the cloud layer and the irradiation value sum, wherein the method comprises the following steps:
s150: and when the sum of the irradiation values is larger than a first irradiation threshold value and smaller than a second irradiation threshold value, adjusting the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow to return to a first angle.
3. The method of claim 2, wherein the cloud layer is of a type of cloudiness or rain cloud; adjusting the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow according to the type of the cloud layer and the irradiation value sum, wherein the method comprises the following steps:
s160: when the sum of the irradiation values is smaller than a third irradiation threshold value, adjusting the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow to be close to a horizontal angle, and stopping tracking; the third irradiance value being less than the first irradiance value.
4. The method of claim 3, wherein the cloud layer is of a type of rolling cloud; adjusting the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow according to the type of the cloud layer and the irradiation value sum, wherein the method comprises the following steps:
s170: when the sum of the irradiation values is larger than a fourth irradiation threshold value, controlling a tracking system of the photovoltaic power station shielded by the cloud shadow to normally track; the fourth irradiance value being greater than or equal to the second irradiance value.
5. The method according to any one of claims 1-4, further comprising:
s180: if the sheltered time of the photovoltaic power station sheltered by the cloud shadow is smaller than a second time threshold, controlling a tracking system of the photovoltaic power station sheltered by the cloud shadow to normally track; the second time threshold is less than the first time threshold.
6. A system for tracking and forecasting a photovoltaic power plant, comprising:
the first acquisition module is used for acquiring the type of a cloud layer, the cloud speed, the cloud profile and the range of the cloud profile projected onto the photovoltaic power station;
a prediction module: the device is used for predicting the shielding time of the cloud layer on the photovoltaic power station according to the cloud speed;
a second obtaining module: when the shielding time of the cloud layer on the photovoltaic power station is predicted to exceed a first time threshold, the method is used for obtaining the sum of irradiation values of the front side or the front side and the back side of the photovoltaic power station in different areas;
an adjusting module: and the tracking angle of the tracking system of the photovoltaic power station shielded by the cloud shadow is adjusted according to the type of the cloud layer and the sum of the irradiation values.
7. The system of claim 6, wherein the adjusting module is connected to the second obtaining module, and when the cloud layer is a layer cloud and when the sum of the irradiance values is greater than a first irradiance threshold and less than a second irradiance threshold, the adjusting module is further configured to adjust the tracking angle of the tracking system of the photovoltaic power plant blocked by the cloud shadow to return to a first angle.
8. The system of claim 7, wherein when the cloud layer is of a type of a cumulus cloud or a rain cloud and when the sum of the irradiance values is less than a third irradiance threshold, the adjusting module is further configured to adjust a tracking angle of a tracking system of the photovoltaic power plant blocked by the cloud shadow to be close to a horizontal angle and stop tracking, and the third irradiance value is less than the first irradiance value.
9. The system of claim 8, wherein when the cloud layer is a rolling cloud and the irradiance value is greater than a fourth irradiance threshold, the adjusting module is further configured to control a tracking system of the photovoltaic power plant blocked by the cloud shadow to perform normal tracking, and the fourth irradiance threshold is greater than the second irradiance value.
10. The system according to any one of claims 6 to 9, wherein if the sheltered time of the photovoltaic power plant sheltered from the cloud shadow is less than the second time threshold, the adjusting module is further configured to control the tracking system of the photovoltaic power plant sheltered from the cloud shadow to perform normal tracking.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011521245.0A CN112651551A (en) | 2020-12-21 | 2020-12-21 | Photovoltaic power station tracking prediction method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011521245.0A CN112651551A (en) | 2020-12-21 | 2020-12-21 | Photovoltaic power station tracking prediction method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112651551A true CN112651551A (en) | 2021-04-13 |
Family
ID=75358763
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011521245.0A Pending CN112651551A (en) | 2020-12-21 | 2020-12-21 | Photovoltaic power station tracking prediction method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112651551A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113778139A (en) * | 2021-09-14 | 2021-12-10 | 阳光新能源开发有限公司 | Angle tracker, angle tracking method and photovoltaic tracking system |
| CN115639844A (en) * | 2022-10-18 | 2023-01-24 | 杭州华鼎新能源有限公司 | Angle control method and system of a photovoltaic module |
| CN116610186A (en) * | 2023-05-11 | 2023-08-18 | 福建万芯科技有限公司 | New energy photovoltaic power generation and energy storage method and related equipment |
| CN116610186B (en) * | 2023-05-11 | 2026-02-06 | 福建万芯科技有限公司 | New energy photovoltaic power generation and energy storage method and related equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100309330A1 (en) * | 2009-06-08 | 2010-12-09 | Adensis Gmbh | Method and apparatus for forecasting shadowing for a photovoltaic system |
| CN103676962A (en) * | 2012-09-24 | 2014-03-26 | 亮源工业（以色列）有限公司 | Method and apparatus for mapping cloud shading on the ground in a large area |
| CN104200484A (en) * | 2013-12-16 | 2014-12-10 | 浙江工业大学 | Distributed photovoltaic system ultra-short-term power output prediction method based on cloud cluster characteristic analysis |
| CN107710098A (en) * | 2015-07-02 | 2018-02-16 | 最佳追踪系统公司 | Method for controlling the orientation of a solar tracker based on a cartographic model |
| CN109886486A (en) * | 2019-02-18 | 2019-06-14 | 南方电网科学研究院有限责任公司 | Device-independent cloud tracking technology and intra-hour irradiance prediction method |
-
2020
- 2020-12-21 CN CN202011521245.0A patent/CN112651551A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100309330A1 (en) * | 2009-06-08 | 2010-12-09 | Adensis Gmbh | Method and apparatus for forecasting shadowing for a photovoltaic system |
| CN103676962A (en) * | 2012-09-24 | 2014-03-26 | 亮源工业（以色列）有限公司 | Method and apparatus for mapping cloud shading on the ground in a large area |
| CN104200484A (en) * | 2013-12-16 | 2014-12-10 | 浙江工业大学 | Distributed photovoltaic system ultra-short-term power output prediction method based on cloud cluster characteristic analysis |
| CN107710098A (en) * | 2015-07-02 | 2018-02-16 | 最佳追踪系统公司 | Method for controlling the orientation of a solar tracker based on a cartographic model |
| CN109886486A (en) * | 2019-02-18 | 2019-06-14 | 南方电网科学研究院有限责任公司 | Device-independent cloud tracking technology and intra-hour irradiance prediction method |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113778139A (en) * | 2021-09-14 | 2021-12-10 | 阳光新能源开发有限公司 | Angle tracker, angle tracking method and photovoltaic tracking system |
| CN115639844A (en) * | 2022-10-18 | 2023-01-24 | 杭州华鼎新能源有限公司 | Angle control method and system of a photovoltaic module |
| CN116610186A (en) * | 2023-05-11 | 2023-08-18 | 福建万芯科技有限公司 | New energy photovoltaic power generation and energy storage method and related equipment |
| CN116610186B (en) * | 2023-05-11 | 2026-02-06 | 福建万芯科技有限公司 | New energy photovoltaic power generation and energy storage method and related equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Stein et al. | Bifacial photovoltaic modules and systems: Experience and results from international research and pilot applications | |
| US8101848B2 (en) | Solar photovoltaic output for cloudy conditions with a solar tracking system | |
| CN105760590B (en) | A kind of roof type photovoltaic array spacing optimization method based on shade Emanations Analysis | |
| WO2022105446A1 (en) | Single-axis angle tracking method and system for intelligent photovoltaic module | |
| CN114614765B (en) | Photovoltaic power generation intelligent regulation and control management system based on Internet of things | |
| CN112651551A (en) | Photovoltaic power station tracking prediction method and system | |
| Chhoton et al. | Dual axis solar tracking system-A comprehensive study: Bangladesh context | |
| Abdulmula et al. | Performance evaluation of standalone double axis solar tracking system with maximum light detection MLD for telecommunication towers in Malaysia | |
| Fazlizan et al. | Performance evaluation of maximum light detection solar tracking system in the tropics | |
| CN103151962A (en) | Solar power system with light-tracking sensor | |
| EP4113828B1 (en) | Photovoltaic system and maximum power point tracking control method for photovoltaic system | |
| CN114322329B (en) | Method for improving sunlight utilization rate of solar photo-thermal power station in cloudy weather | |
| Ahmad et al. | Maximising solar PV potential: A comprehensive review of factors affecting photovoltaic installation and generation in a mild temperate oceanic climate | |
| CN114169644A (en) | Photovoltaic power generation capacity prediction method and system based on big data and storage medium | |
| CN115330822A (en) | Control method and device of photovoltaic tracking support and photovoltaic tracking system | |
| Yan et al. | Performance improvement of vertically installed bifacial solar panels with adjustable reflectors optimized using the Taguchi method | |
| CN112286232B (en) | Tracking angle optimization method of flat single-axis tracking system and tracking bracket thereof | |
| CN120409969A (en) | An intelligent analysis system and method for new energy photovoltaic power prediction data | |
| CN119512226A (en) | A photovoltaic system tracking method based on astronomical tracking algorithm | |
| CN105743418A (en) | Photovoltaic power generation system | |
| CN214174922U (en) | Intelligent solar light automatic tracking light system | |
| CN108549416B (en) | Sunlight tracking method and device for photovoltaic panel | |
| Lucas | Analysis of instantaneous, daily and monthly statistics 2017-2021 of rooftop solar energy | |
| Mikami et al. | Advantages of concentrator photovoltaic system in high solar radiation region | |
| Kopecek et al. | Quo vadis bifacial PV? |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210413 |
|
| RJ01 | Rejection of invention patent application after publication |