CN216144359U - Photovoltaic power plant generated power prediction device - Google Patents
Photovoltaic power plant generated power prediction device Download PDFInfo
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- CN216144359U CN216144359U CN202121058123.2U CN202121058123U CN216144359U CN 216144359 U CN216144359 U CN 216144359U CN 202121058123 U CN202121058123 U CN 202121058123U CN 216144359 U CN216144359 U CN 216144359U
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- 238000010248 power generation Methods 0.000 claims abstract description 23
- 238000004891 communication Methods 0.000 claims abstract description 20
- 238000013500 data storage Methods 0.000 abstract description 2
- 230000008054 signal transmission Effects 0.000 abstract description 2
- 230000005855 radiation Effects 0.000 description 37
- 238000004364 calculation method Methods 0.000 description 7
- 238000000034 method Methods 0.000 description 4
- 238000006467 substitution reaction Methods 0.000 description 3
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- 238000013528 artificial neural network Methods 0.000 description 1
- 230000002238 attenuated effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 229910021419 crystalline silicon Inorganic materials 0.000 description 1
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- 238000013461 design Methods 0.000 description 1
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- 239000000428 dust Substances 0.000 description 1
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- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02B90/20—Smart grids as enabling technology in buildings sector
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- 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
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/126—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using wireless data transmission
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Abstract
The utility model provides a photovoltaic power station power generation power prediction device which comprises an illumination intensity collector, a temperature sensor, an electric energy collector, a cloud server and a control processor, wherein the illumination intensity collector is connected with the temperature sensor; the illumination intensity collector and the temperature sensor are respectively installed on a photovoltaic assembly of the photovoltaic power station, the electric energy collector is connected with an electric energy meter of the photovoltaic power station, and the illumination intensity collector, the temperature sensor and the electric energy collector are respectively in wireless communication connection with the cloud server; the cloud server is in wireless communication connection with the control processor. According to the utility model, the temperature sensor is arranged to detect the temperature of the photovoltaic module, and the generated power under the influence of the temperature is calculated, so that the generated power prediction is more accurate; the cloud server is used for managing and storing data, so that the stability of signal transmission and data storage can be ensured.
Description
Technical Field
The utility model belongs to the technical field of photovoltaic power generation, and particularly relates to a photovoltaic power station generated power prediction device.
Background
With the vigorous popularization of new energy in China, photovoltaic power generation becomes a greatly promoted power generation mode, but because photovoltaic power generation receives solar energy and only generates power in the daytime and is greatly influenced by weather changes, the power generation power of photovoltaic power generation is changed strongly and is not controlled, and if the power generation power is too high, a large burden is caused on a power grid, so that the prediction of the power generation power is particularly important.
In the prior art, based on knowledge of photovoltaic power generation, the power of a photovoltaic module is not reduced by temperature rise as much as possible when the temperature rises, but in a prediction device in the market, the influence of air temperature on the power of the photovoltaic module is considered, a bracket, a support and the like of the photovoltaic module can absorb heat by themselves and can influence the power of the photovoltaic module, and the generated power has errors in the aspect of temperature influence; in addition, photovoltaic power generation influence factor is more, needs the transmission of a large amount of data and signals when predicting, and each acquisition module adopts wired connection mode to have certain limitation among the existing mode.
SUMMERY OF THE UTILITY MODEL
In view of the above-mentioned deficiencies in the prior art, the present invention provides a device for predicting the generated power of a photovoltaic power station, so as to solve the above-mentioned technical problems.
The utility model provides a photovoltaic power station generated power prediction device, which is characterized by comprising the following components: the system comprises a light intensity collector, a temperature sensor, an electric energy collector, a cloud server and a control processor; the illumination intensity collector and the temperature sensor are respectively installed on a photovoltaic assembly of the photovoltaic power station, the electric energy collector is connected with an electric energy meter of the photovoltaic power station, and the illumination intensity collector, the temperature sensor and the electric energy collector are respectively in wireless communication connection with the cloud server; the cloud server is in wireless communication connection with the control processor.
Furthermore, the illumination intensity collector, the temperature sensor and the electric energy collector are respectively provided with a Bluetooth communication module.
Further, the control processor comprises a single chip microcomputer, a signal transceiving circuit, a data acquisition circuit and a Bluetooth communication module, wherein the signal transceiving circuit, the data acquisition circuit and the Bluetooth communication module are connected with the single chip microcomputer; the signal receiving and transmitting circuit and the data acquisition circuit are respectively connected with the Bluetooth communication module.
Further, the control processor also comprises a clock circuit, and the clock circuit is connected with the single chip microcomputer.
Furthermore, an API (application program interface) for collecting weather forecast website data is arranged on the cloud server.
Furthermore, the device also comprises a display, and the display is connected with the control processor.
The beneficial effect of the utility model is that,
according to the photovoltaic power station generated power prediction device provided by the utility model, the temperature sensor is arranged for detecting the temperature of the photovoltaic module, and the generated power under the influence of the temperature is calculated, so that the generated power prediction is more accurate; the cloud server is used for managing and storing data, so that the stability of signal transmission and data storage can be ensured; the cloud server can acquire weather forecast website data, so that the prediction process is simplified, and the prediction efficiency is improved; and a wired connection mode is replaced by the Bluetooth communication module, so that the maintenance cost is reduced.
In addition, the utility model has reliable design principle, simple structure and very wide application prospect.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an apparatus according to an embodiment of the present application.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art through specific situations.
Example 1
As shown in fig. 1, the present embodiment provides a device for predicting generated power of a photovoltaic power station, including: the system comprises a light intensity collector, a temperature sensor, an electric energy collector, a cloud server and a control processor; the illumination intensity collector and the temperature sensor are respectively installed on a photovoltaic assembly of the photovoltaic power station, the electric energy collector is connected with an electric energy meter of the photovoltaic power station, and the illumination intensity collector, the temperature sensor and the electric energy collector are respectively provided with a Bluetooth communication module to be in wireless communication connection with the cloud server; the cloud server is in wireless communication connection with the control processor; the control processor comprises a singlechip, and a signal transceiving circuit, a data acquisition circuit, a clock circuit and a Bluetooth communication module which are connected with the singlechip; the signal receiving and transmitting circuit and the data acquisition circuit are respectively connected with the Bluetooth communication module.
The illumination intensity collector collects the current illumination intensity of the photovoltaic power station; the temperature sensor collects temperature changes of the photovoltaic module, the electric energy collector collects current power generation power of the photovoltaic power station, and the current illumination intensity, the temperature changes and the current power generation power are uploaded to the cloud server through the Bluetooth communication module to be stored. Set up the API interface that is used for gathering weather forecast website data on the high in the clouds server simultaneously, gather the weather influence factor data of current weather influence factor data and a plurality of time points in the future, weather influence factor data include in this embodiment: cloud cover and visibility.
The single chip microcomputer sends a prediction signal according to the prediction time point through a real-time clock of the clock circuit, the cloud server collects weather influence factor data of the current time and weather influence factor data of the prediction time point according to the prediction signal and sends the weather influence factor data to the single chip microcomputer through the data acquisition circuit, and the single chip microcomputer carries out data processing and prediction calculation to obtain the power generation power of the prediction time point.
Specifically, the prediction calculation process of the processor is as follows:
1. acquiring the current illumination intensity of the location of the photovoltaic power station by using an illumination intensity collector, acquiring the current power generation power of the photovoltaic power station by using an ammeter, and calculating the ratio of the current power generation power to the current illumination intensity to obtain a unit illumination intensity load value;
2. the method comprises the steps of connecting an API (application programming interface) of a network weather forecast, automatically acquiring illumination parameters, and enabling data to be stable and high in accuracy, wherein in the embodiment, the illumination parameters are cloud cover and visibility, the cloud cover refers to the number of assemblies shielded by all clouds when the sun irradiates, and the visibility refers to the number of assemblies which are blocked by dust particles in the air to irradiate and penetrate when the sun irradiates; in this embodiment, the cloud cover and visibility are in percent form;
calculating the solar radiation amount through radiation parameters of a photovoltaic power station, wherein the radiation parameters comprise: latitude and longitude of the area where the photovoltaic power station is located, solar altitude and time; the solar radiation amount is calculated by the following method:
3. the general relation is that the sunlight is irradiated from the sky, and the illumination intensity of the photovoltaic module irradiated on the photovoltaic power station is obtained after the influence of cloud cover and visibility, namely
Solar radiation amount × [ (1-cloud amount) × cloud amount weight ] × (visibility ×) visibility weight) ═ light intensity (1),
in this embodiment, the solar radiation amount is the change of the total solar radiation amount of the upper atmospheric boundary, and in the lower atmospheric boundary, the solar radiation amount is attenuated by the cloud cover, the visibility and other weather factors to obtain the illumination intensity of the photovoltaic power station.
Substituting the illumination parameter and the solar radiation amount of the current time into the general relational expression to obtain a current illumination intensity calculation formula,
current solar radiation amount × [ (1-current cloudiness) × (current cloudiness weight ] × (current visibility × current visibility weight) ═ current illumination intensity (2);
substituting the illumination parameters and the solar radiation amount of the future time into the general relational expression to obtain a future illumination intensity calculation formula,
future solar radiation amount × [ (1-future cloudiness) × (future cloudiness weight ] × (future visibility × future visibility weight) ═ future light intensity (3);
integrating the current illumination intensity calculation formula and the future illumination intensity calculation formula to obtain a final formula of the future illumination intensity,
the future illumination intensity is { future solar radiation amount x [ (1-future cloud amount) x future cloud amount weight ] × (future visibility x future visibility weight) }/{ current solar radiation amount x [ (1-current cloud amount) x current cloud amount weight ] × (current visibility x current visibility weight) } (4), wherein the relation between the future solar radiation amount and the current solar radiation amount is determined by the principle that the total solar radiation amount of the upper air boundary is constant but changes in a regular year;
wherein, the current solar radiation amount of the upper air bound is calculated, the current solar radiation amount is the total solar radiation amount x (the nearest distance of the earth day/the distance of the current earth day) x (the current solar altitude/the maximum solar altitude of the current year),
calculating the future solar radiation amount of the upper air bound, wherein the future solar radiation amount is the total solar radiation amount x (the nearest distance to the earth day/the distance to the earth day in the future) x (the future solar altitude/the maximum solar altitude in the future);
in this embodiment, the solar radiation amount is related to the solar altitude of the area where the photovoltaic power station is located, the larger the solar altitude is, the shorter the path through the atmosphere is, the smaller the attenuation effect of the atmosphere on the solar radiation is, the more the solar radiation amount reaches the ground, the latitude directly affects the size of the solar altitude, the solar altitude is related to the time of the year, the solar altitude at different times is fixed, the solar altitude in one day is different, so the change of the solar radiation amount is related to the time, in calculating the ratio of the above equations (2) and (3), the future solar radiation amount/the current solar radiation amount can be obtained by a calculation formula of the solar radiation amount of the upper bound of the atmosphere;
4. according to different time and illumination parameters, applying influence factor data influencing the power generation power to a clustering algorithm, according to a final formula of future illumination intensity, establishing a prediction model of the illumination intensity by using a k-means clustering algorithm, and dividing the prediction model into a plurality of clusters according to the illumination parameters; randomly taking a plurality of future illumination intensities under each cluster as an initial cluster center; future light intensity samples are input and assigned to the nearest cluster center, and the cluster center is recalculated each time a sample is input.
5. Training the prediction model by using a neural network to obtain the current cloud cover weight, the future cloud cover weight, the current visibility weight and the future visibility weight, substituting the weights into the step (4),
6. calculating the product of the predicted illumination intensity and the unit illumination load value to obtain future generated power which is the unit illumination load value x { future solar radiation amount [ (1-future cloud amount) future cloud amount weight ] × (future visibility weight) }/{ current solar radiation amount x [ (1-cloud amount) current cloud amount weight ] × (visibility current visibility weight) } (5);
7. obtaining a high-temperature influence rate of a photovoltaic module of a photovoltaic power station, wherein the high-temperature influence rate is a percentage of reduction in power generation power of the photovoltaic module when an air temperature is higher by one degree per liter, and in this embodiment, when the temperature is increased by one degree, the power generation power is reduced by 0.44%, and an accurate future power generation power is obtained, wherein the accurate future power generation power is increased by temperature x (1-high-temperature influence rate) x (1-year decay rate) x unit illuminance load value x { future solar radiation amount [ (1-future cloud amount) }/{ current solar radiation amount x [ (1-future visibility future cloud amount) }/{ current solar radiation amount x [ (1-cloud amount) × (current visibility weight) };
in this embodiment, if the predicted generated power is to be calculated in units of years, an age decay rate is considered, where the age decay rate is a percentage of reduction in the generated power of the photovoltaic module per year due to its own factors, for example, an average crystalline silicon decay rate in the photovoltaic module per year is 0.5%, and 0.5% is used as the age decay rate, and the growth age of the predicted time compared with the current time is obtained; accurately predicting generated power, namely, rising temperature x (1-high temperature influence rate) x growth period x (1-period attenuation rate) x unit illuminance load value x { future solar radiation quantity [ (1-future cloud quantity) future cloud quantity weight ] × (future visibility weight) }/{ current solar radiation quantity x [ (1-cloud quantity) current cloud quantity weight ] × (visibility current visibility weight) };
example 2
The embodiment provides a photovoltaic power plant generated power prediction device, has add the display on embodiment 1's basis, and the display is connected with control processor, and the display shows the generated power of different time point predictions, makes things convenient for the staff to look over.
Although the present invention has been described in detail by referring to the drawings in connection with the preferred embodiments, the present invention is not limited thereto. Various equivalent modifications or substitutions can be made on the embodiments of the present invention by those skilled in the art without departing from the spirit and scope of the present invention, and these modifications or substitutions are within the scope of the present invention/any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A photovoltaic power plant generated power prediction device characterized by comprising: the system comprises a light intensity collector, a temperature sensor, an electric energy collector, a cloud server and a control processor; the illumination intensity collector and the temperature sensor are respectively installed on a photovoltaic assembly of the photovoltaic power station, the electric energy collector is connected with an electric energy meter of the photovoltaic power station, and the illumination intensity collector, the temperature sensor and the electric energy collector are respectively in wireless communication connection with the cloud server; the cloud server is in wireless communication connection with the control processor.
2. The device for predicting the power generation power of the photovoltaic power station as claimed in claim 1, wherein the illumination intensity collector, the temperature sensor and the electric energy collector are respectively provided with a Bluetooth communication module.
3. The photovoltaic power plant generated power prediction device of claim 1 wherein the control processor comprises a single-chip microcomputer, and a signal transceiver circuit, a data acquisition circuit and a bluetooth communication module connected to the single-chip microcomputer; the signal receiving and transmitting circuit and the data acquisition circuit are respectively connected with the Bluetooth communication module.
4. The photovoltaic power plant power generation power prediction device of claim 3 wherein the control processor further comprises a clock circuit, the clock circuit being connected to the single chip microcomputer.
5. The photovoltaic power plant generated power prediction device of claim 1 wherein the cloud server is configured with an API interface for collecting weather forecast website data.
6. The photovoltaic power plant generated power prediction device of claim 1 further comprising a display, the display being coupled to the control processor.
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