Optical power prediction system and method for photovoltaic station

Abstract

The invention belongs to the technical field of photovoltaic power generation, and discloses an optical power prediction system and method for a photovoltaic station, and the system comprises a sub-array irradiation meter, a dust tester, a data collector, an Ethernet switch, a historical data server, and an optical power prediction host. And the optical power prediction host is used for predicting the optical power of the photovoltaic station according to weather forecast data, environmental data of the booster station, illumination data of the delimited area, dust concentration data and historical optical power data. According to the invention, a determination data source and a determination basis are added, and front-end equipment such as a sub-array irradiation meter and a dust tester are added in a delimited area, so that meteorological data of each area of the whole station are acquired, the actual dust accumulation condition of the photovoltaic module in each delimited area is known, refined information acquisition is realized, and the optical power prediction precision is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic power generation, and in particular relates to a light power prediction system and method for a photovoltaic station. Background Art

[0002] Photovoltaic power stations are new power generation systems that use the photovoltaic effect of solar cell semiconductor materials to directly convert solar radiation energy into electrical energy. Optical power is the work done by light per unit time. The intermittent, random and volatile nature of light causes uncertainty in the output of photovoltaic power stations, which brings a series of problems to grid dispatching and safety, and also makes it difficult for photovoltaic power stations to connect to the grid. Optical power prediction is an important means to solve this problem.

[0003] At present, the accuracy requirements for photovoltaic power prediction systems are increasing with the growth of installed capacity. However, due to the changing meteorological conditions and technical constraints, the current power prediction accuracy of photovoltaic stations cannot meet expectations. This not only increases the economic investment of station owners, but also increases the difficulty of connecting large-scale new energy to the power grid.

[0004] The optical power prediction of existing photovoltaic stations is mainly composed of environmental monitoring instruments, intranet servers, extranet servers, reverse isolators, displays, firewalls and other equipment. The environmental monitoring instrument is generally installed on the roof of the supporting booster station of the station. The extranet server downloads the weather forecast data through the reverse isolator, and the extranet server transmits the weather forecast data to the intranet server through the firewall. The environmental monitoring equipment data is directly transmitted to the intranet server. The two types of data are combined to obtain the optical power prediction data of different time scales of the photovoltaic station.

[0005] The data sources of existing optical power prediction schemes are relatively single. For large-scale photovoltaic power stations that cover a large area, relying solely on a set of environmental monitoring equipment and meteorological forecast data will lead to inaccurate prediction data. At different locations of the same station, there are large differences in cloud thickness, light intensity, and actual component dust accumulation status. This will lead to certain differences in the power generation efficiency of photovoltaic components at different locations of the same station.

[0006] Therefore, there is an urgent need for a light power prediction system and method suitable for large-scale photovoltaic stations. Summary of the invention

[0007] In view of the above problems, the present invention provides a photovoltaic power prediction system and method, which adopts the following technical solutions:

[0008] A light power prediction system for a photovoltaic station, comprising:

[0009] Sub-array irradiance meter, used to collect illumination data of the designated area and send it to the data collector;

[0010] Dust tester, used to collect dust concentration data in a designated area and send it to the data collector;

[0011] A data collector, used to input the light data and dust concentration data of the designated area into the Ethernet switch;

[0012] Ethernet switch, used to send weather forecast data, environmental data of booster stations, illumination data of designated areas, and dust concentration data to historical data servers and optical power prediction hosts;

[0013] The historical data server is used to store weather forecast data, environmental data of the booster station, illumination data of the designated area, dust concentration data and historical optical power data;

[0014] The optical power prediction host is used to predict the optical power of the photovoltaic station based on weather forecast data, environmental data of the booster station, illumination data of the designated area, dust concentration data and historical optical power data.

[0015] Furthermore, it also includes a reverse isolation device, and the dispatching center platform of the power system safety zone I is communicatively connected with the Ethernet switch through the reverse isolation device.

[0016] Furthermore, it also includes a network firewall and an external network server, and the external network server is communicatively connected to the Ethernet switch through the network firewall.

[0017] Furthermore, it also includes an environmental monitoring device, wherein the environmental monitoring device is arranged in the booster station, and the environmental monitoring device is communicatively connected with the Ethernet switch.

[0018] Furthermore, the sub-array irradiance meter, the dust tester and the data collector are all arranged on a photovoltaic support at the center of a designated area.

[0019] Furthermore, the data collector is communicatively connected to the Ethernet switch via the optical fiber of the photovoltaic subarray.

[0020] The present invention also provides a method for predicting the optical power of a photovoltaic station, comprising the following steps:

[0021] The sub-array irradiance meter sends the collected light data of the designated area to the data collector, and the dust tester sends the collected dust concentration data of the designated area to the data collector;

[0022] The data collector inputs the illumination data and dust concentration data of the designated area into the Ethernet switch;

[0023] The historical data server obtains and stores weather forecast data, environmental data of the booster station, light data of the designated area, and dust concentration data through the Ethernet switch;

[0024] The optical power prediction host predicts the optical power of the photovoltaic station based on the weather forecast data obtained from the Ethernet switch, the environmental data of the booster station, the lighting data and dust concentration data of the designated area, and the historical optical power data obtained from the historical data server.

[0025] Furthermore, the illumination data includes solar radiation intensity data, and the weather forecast data includes ambient temperature data and weather type.

[0026] Furthermore, the historical optical power data includes historical weather forecast data, historical environmental data of booster stations, historical illumination data and historical dust concentration data of designated areas, and historical optical power prediction values ​​of photovoltaic stations and corresponding actual optical power values.

[0027] Furthermore, the optical power prediction host predicts the optical power of the photovoltaic station based on the weather forecast data obtained from the Ethernet switch, the environmental data of the booster station, the illumination data and dust concentration data of the designated area, and the historical optical power data obtained from the historical data server, including the following steps:

[0028] The historical data server establishes an optical power prediction history database according to multiple groups of historical optical power data and optical power prediction values ​​predicted from the optical power prediction host;

[0029] The historical data server determines the correction coefficient according to the historical optical power prediction value and the corresponding optical power actual value in the optical power prediction history database;

[0030] The optical power prediction host matches the acquired weather forecast data, environmental data of the booster station, illumination data and dust concentration data of the designated area with the corresponding data in the optical power prediction history database to obtain the initial optical power prediction value;

[0031] The final optical power prediction value is determined based on the initial optical power prediction value and the correction coefficient.

[0032] Beneficial effects of the present invention:

[0033] 1. The present invention increases the source of judgment data and the basis for judgment. By adding front-end equipment such as sub-array irradiance meters and dust testers in the designated areas, the meteorological data of each area of ​​the whole station can be collected, and the actual dust accumulation of photovoltaic modules in each designated area can be understood, so as to realize refined information collection and improve the accuracy of optical power prediction.

[0034] 2. The front-end equipment such as the sub-array irradiance meter and the dust tester of the present invention transmit information through the laid optical fiber, saving cable investment.

[0035] 3. The optical power prediction system station of the present invention relies on a single Ethernet switch to achieve data intercommunication, has a simple communication structure, avoids data congestion, and reduces packet loss rate.

[0036] 4. The present invention establishes and matches a historical database, forms a correction parameter system through the accumulation of operating data, and can perform empirical correction according to the uploaded data status to improve the optical power prediction accuracy.

[0037] Other features and advantages of the present invention will be described in the following description, and partly become obvious from the description, or be understood by implementing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures pointed out in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 A schematic diagram of the structure of an optical power prediction system for a photovoltaic station according to an embodiment of the present invention is shown;

[0040] Figure 2 A schematic flow chart of a method for predicting optical power of a photovoltaic station according to an embodiment of the present invention is shown.

[0041] In the figure: 1. Optical power prediction host; 2. Optical power historical data server; 3. Ethernet switch; 4. Network firewall; 5. External network server; 6. Reverse isolation device; 7. Subarray irradiance meter; 8. Dust tester. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] It should be noted that the terms "first", "second", etc. in this application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so as to describe the embodiments of the present application described here.

[0044] The present invention provides a light power prediction system and method for a photovoltaic station, which is suitable for large-base photovoltaic stations with large land area, changeable climatic conditions and high difficulty in light power prediction, and improves the prediction accuracy of the light power prediction system of the large-base photovoltaic station, thereby increasing the power generation and rate of return of the entire station.

[0045] like Figure 1 As shown, a light power prediction system for a photovoltaic station is provided, wherein the photovoltaic station includes a power system safety zone I, a power system safety zone II and a power system safety zone III, and a dispatching center platform (not shown in the figure) is provided in the power system safety zone I.

[0046] The optical power prediction system includes an optical power prediction host 1, an optical power historical data server 2, an Ethernet switch 3, a network firewall 4, an external network server 5, a reverse isolation device 6, an environmental monitoring device, a subarray irradiance meter 7, a dust tester 8 and a data collector.

[0047] Among them, the reverse isolation device 6 is set in the power system safety zone I, the optical power prediction host 1, the optical power historical data server 2 and the Ethernet switch 3 are set in the power system safety zone II, the network firewall 4 and the external network server 5 are set in the power system safety zone III, and the environmental monitoring equipment is set on the roof of the supporting booster station in the factory area. The sub-array irradiance meter 7, the dust tester 8 and the data collector are all set near the sub-array box transformer in the center of the designated area.

[0048] The optical power prediction host 1 and the optical power historical data server 2 are communicatively connected to the Ethernet switch 3. The dispatching center platform of the power system safety zone I is communicatively connected to the Ethernet switch 3 through the reverse isolation device 6. The external network server 5 is communicatively connected to the Ethernet switch 3 through the network firewall 4. The environmental monitoring equipment is communicatively connected to the Ethernet switch 3 through the network cable / optical fiber pigtail cable. The input end of the data collector is communicatively connected to the sub-array irradiance meter 7 and the dust tester 8. The output end of the data collector is communicatively connected to the Ethernet switch 3.

[0049] The subarray irradiance meter 7 is used to collect the illumination data of the designated area and send it to the data collector; the dust tester 8 is used to collect the dust concentration data of the designated area and send it to the data collector; the data collector is used to input the illumination data and dust concentration data of the designated area into the Ethernet switch 3; the Ethernet switch is used to send the weather forecast data, the environmental data of the booster station, the illumination data and dust concentration data of the designated area to the historical data server and the optical power prediction host 1; the historical data server is used to store the weather forecast data, the environmental data of the booster station, the illumination data of the designated area, the dust concentration data and the historical optical power data; the optical power prediction host 1 is used to predict the optical power of the photovoltaic field station according to the weather forecast data, the environmental data of the booster station, the illumination data of the designated area, the dust concentration data and the historical optical power data.

[0050] The external network server 5 is used to input the weather forecast data into the Ethernet switch 3 through the firewall, the environmental monitoring equipment is used to input the environmental data of the booster station into the Ethernet switch 3, the subarray irradiance meter 7 is used to collect the light data of the designated area and send it to the data collector, the dust tester 8 is used to collect the dust concentration data of the designated area and send it to the data collector, the data collector is used to input the light data and dust concentration data of the designated area into the Ethernet switch 3; the historical data server stores the historical optical power data, and the historical data server is used to obtain and store the weather forecast data, the environmental data of the booster station, the light data and the dust concentration data of the designated area through the Ethernet switch.

[0051] The optical power prediction host 1 is used to predict the optical power of the photovoltaic station based on the weather forecast data obtained from the Ethernet switch 3, the environmental data of the substation, the lighting data and dust concentration data of the designated area, and the historical optical power data obtained from the historical data server, and input the optical power prediction value into the Ethernet switch 3. The dispatching center platform of the power system safety zone I obtains the optical power prediction value from the Ethernet switch 3 through the reverse isolation device 6.

[0052] For example, the area of ​​the designated area is 0.1km 2 , 0.1km 2 About 10MW of photovoltaic modules can be arranged, and the sub-array irradiance meter 7, dust tester 8 and data collector are all arranged on the photovoltaic support in the center of the designated area.

[0053] The data collector is connected to the Ethernet switch 3 through the optical fiber of the photovoltaic sub-array, where the optical fiber is laid on the optical fiber distribution frame; the data collector uploads the data of the sub-array irradiance meter 7 and the dust tester 8 to the Ethernet switch 3 through the optical fiber laid in the photovoltaic sub-array, saving cable investment.

[0054] By adding front-end equipment such as sub-array irradiance meter 7 and dust tester 8 in the 0.1km2 designated area, the collection of meteorological data of each designated area of ​​the entire station can be realized, and the dust accumulation situation of photovoltaic modules in each designated area can be indirectly understood.

[0055] The front-end devices such as the sub-array irradiance meter 7 and the dust tester 8 transmit information with the Ethernet switch 3 through the laid optical fiber. The optical power prediction system relies on a single Ethernet switch 3 to achieve data intercommunication. The communication structure is simple, data congestion is avoided, and the packet loss rate is reduced.

[0056] Based on the above photovoltaic station optical power prediction system, such as Figure 2 As shown, the present invention also provides a method for predicting the optical power of a photovoltaic station, comprising the following steps:

[0057] S1. The external network server 5 inputs the weather forecast data to the Ethernet switch 3 through the firewall.

[0058] S2. The environmental monitoring device inputs the environmental data of the booster station into the Ethernet switch 3.

[0059] S3, the sub-array irradiance meter 7 sends the collected light data of the designated area to the data collector, the dust tester 8 sends the collected dust concentration data of the designated area to the data collector, and the data collector inputs the light data and dust concentration data of the designated area to the Ethernet switch 3.

[0060] Among them, the illumination data includes solar radiation intensity data. The output power of photovoltaic modules is proportional to the solar radiation intensity. As the solar radiation increases, the output power of photovoltaic modules increases linearly. Therefore, in this step, the solar radiation intensity data of each designated area is obtained to realize the collection of meteorological data of each area of ​​the entire station.

[0061] Dust accumulation on the surface of photovoltaic modules will affect the power generation efficiency. By collecting dust concentration data in the designated area through the dust tester 8, it can indirectly reflect the dust accumulation of photovoltaic modules in each designated area, realize refined information collection, and improve power prediction accuracy.

[0062] S4. The historical data server obtains and stores weather forecast data, environmental data of the booster station, illumination data of the designated area, and dust concentration data through the Ethernet switch.

[0063] Among them, meteorological forecast data includes ambient temperature data and weather types. Weather types include sunny, cloudy, rainy and cloudy. Solar radiation intensity data has a direct impact on the output power of photovoltaic power generation. When the solar radiation intensity is weak, the current and voltage generated by the photovoltaic module will be reduced, thereby affecting the efficiency of photovoltaic power generation. For example, when it is cloudy and rainy, the solar radiation intensity is weak. On rainy days, the solar radiation intensity is very weak, and the output power of the photovoltaic power station is close to 0; in cloudy weather, the cloud cover will affect the transmittance of sunlight, thereby affecting the efficiency of photovoltaic module power generation.

[0064] This step obtains weather data to predict optical power and improves the accuracy of power prediction.

[0065] S5. Optical power prediction host 1 predicts the optical power of the photovoltaic station based on the weather forecast data obtained from the Ethernet switch 3, the environmental data of the booster station, the illumination data and dust concentration data of the designated area, and the historical optical power data obtained from the historical data server.

[0066] Among them, the historical optical power data includes historical meteorological forecast data, historical environmental data of booster stations, historical illumination data and historical dust concentration data of designated areas, as well as historical optical power prediction values ​​of photovoltaic stations and corresponding actual optical power values.

[0067] For example, step S5 includes the following steps:

[0068] S51 . The historical data server establishes an optical power prediction history database according to multiple groups of historical optical power data and the optical power prediction values ​​predicted by the optical power prediction host 1 .

[0069] S52. The historical data server determines a correction coefficient according to the historical optical power prediction values ​​and the corresponding optical power actual values ​​in the optical power prediction history database.

[0070] S53, the optical power prediction host 1 matches the acquired weather forecast data, the environmental data of the booster station, the illumination data and the dust concentration data of the designated area with the corresponding data in the optical power prediction history database to obtain an initial optical power prediction value.

[0071] S54. Determine a final optical power prediction value according to the initial optical power prediction value and the correction coefficient.

[0072] For example, an optical power prediction history database is established through three sets of historical optical power data and the actual uploaded data of the optical power prediction host 1. A correction parameter system is formed by accumulating running data. The optical power history data server 2 combines the actual collected data with the historical data values ​​in the database, and can perform parameter correction on the collected data to continuously improve the accuracy of the predicted power.

[0073] S6. The optical power prediction host 1 inputs the optical power prediction value into the Ethernet switch 3. The dispatch center platform obtains the optical power prediction value from the Ethernet switch 3 through the reverse isolation device 6. The historical data server obtains and stores the optical power prediction value through the Ethernet switch 3. The historical data server also stores the actual optical power value.

[0074] Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent substitutions for some of the technical features therein; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A photovoltaic power prediction system. It is characterized in that include: Sub-array irradiance meter, used to collect illumination data of the designated area and send it to the data collector; Dust tester, used to collect dust concentration data in a designated area and send it to the data collector; A data collector, used to input the light data and dust concentration data of the designated area into the Ethernet switch; Ethernet switch, used to send weather forecast data, environmental data of booster stations, illumination data of designated areas, and dust concentration data to historical data servers and optical power prediction hosts; The historical data server is used to store weather forecast data, environmental data of the booster station, illumination data of the designated area, dust concentration data and historical optical power data; The optical power prediction host is used to predict the optical power of the photovoltaic station based on weather forecast data, environmental data of the booster station, illumination data of the designated area, dust concentration data and historical optical power data.

2. The optical power prediction system for a photovoltaic station according to claim 1, It is characterized in that It also includes a reverse isolation device, through which the dispatch center platform of the power system safety zone I is communicatively connected with the Ethernet switch.

3. The optical power prediction system for a photovoltaic station according to claim 1, It is characterized in that It also includes a network firewall and an external network server, and the external network server is communicatively connected with the Ethernet switch through the network firewall.

4. The optical power prediction system for a photovoltaic station according to claim 1, It is characterized in that It also includes an environmental monitoring device, wherein the environmental monitoring device is arranged in the booster station, and the environmental monitoring device is communicatively connected with the Ethernet switch.

5. The optical power prediction system for a photovoltaic station according to any one of claims 1 to 4, It is characterized in that The sub-array irradiance meter, the dust tester and the data collector are all arranged on a photovoltaic support in the center of a designated area.

6. The optical power prediction system for a photovoltaic station according to claim 1, It is characterized in that The data collector is connected to the Ethernet switch through the optical fiber of the photovoltaic sub-array.

7. A method for predicting the optical power of a photovoltaic station. It is characterized in that The following steps are involved: The sub-array irradiance meter sends the collected light data of the designated area to the data collector, and the dust tester sends the collected dust concentration data of the designated area to the data collector; The data collector inputs the illumination data and dust concentration data of the designated area into the Ethernet switch; The historical data server obtains and stores weather forecast data, environmental data of the booster station, light data of the designated area, and dust concentration data through the Ethernet switch; The optical power prediction host predicts the optical power of the photovoltaic station based on the weather forecast data obtained from the Ethernet switch, the environmental data of the booster station, the lighting data and dust concentration data of the designated area, and the historical optical power data obtained from the historical data server.

8. The method for predicting the optical power of a photovoltaic station according to claim 7, It is characterized in that The illumination data includes solar radiation intensity data, and the weather forecast data includes ambient temperature data and weather type.

9. The method for predicting the optical power of a photovoltaic station according to claim 7, It is characterized in that The historical optical power data includes historical weather forecast data, historical environmental data of booster stations, historical illumination data and historical dust concentration data of designated areas, as well as historical optical power prediction values ​​of photovoltaic stations and corresponding actual optical power values.

10. The method for predicting the optical power of a photovoltaic station according to claim 7 or 9, It is characterized in that The optical power prediction host predicts the optical power of the photovoltaic station based on the weather forecast data obtained from the Ethernet switch, the environmental data of the booster station, the illumination data and dust concentration data of the designated area, and the historical optical power data obtained from the historical data server, including the following steps: The historical data server establishes an optical power prediction history database according to multiple groups of historical optical power data and optical power prediction values ​​predicted from the optical power prediction host; The historical data server determines the correction coefficient according to the historical optical power prediction value and the corresponding optical power actual value in the optical power prediction history database; The optical power prediction host matches the acquired weather forecast data, environmental data of the booster station, illumination data and dust concentration data of the designated area with the corresponding data in the optical power prediction history database to obtain the initial optical power prediction value; The final optical power prediction value is determined based on the initial optical power prediction value and the correction coefficient.

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