CN207263825U - A kind of built photovoltaic power station power generation amount forecast system - Google Patents
A kind of built photovoltaic power station power generation amount forecast system Download PDFInfo
- Publication number
- CN207263825U CN207263825U CN201720853822.3U CN201720853822U CN207263825U CN 207263825 U CN207263825 U CN 207263825U CN 201720853822 U CN201720853822 U CN 201720853822U CN 207263825 U CN207263825 U CN 207263825U
- Authority
- CN
- China
- Prior art keywords
- memory
- generation amount
- power generation
- detector
- forecast system
- 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.)
- Expired - Fee Related
Links
- 238000010248 power generation Methods 0.000 title claims abstract description 35
- 230000005855 radiation Effects 0.000 claims abstract description 10
- 238000005259 measurement Methods 0.000 claims description 5
- 241000208340 Araliaceae Species 0.000 claims 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 1
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 1
- 235000008434 ginseng Nutrition 0.000 claims 1
- 230000005611 electricity Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000000151 deposition Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000003869 coulometry Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000005622 photoelectricity Effects 0.000 description 1
- 238000013082 photovoltaic technology Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Landscapes
- Photovoltaic Devices (AREA)
Abstract
The utility model discloses a kind of built photovoltaic power station power generation amount forecast system, including solar radiation forecast system and history generated energy forecast system, solar radiation forecast system includes first memory, meteorologic parameter detector and the first computing unit, first memory and meteorological parametric detector are connected with the first computing unit respectively, and history generated energy forecast system includes power generation amount detector, meteorologic parameter detector, second memory and the second computing unit.The utility model not only has high credibility, consequently facilitating photovoltaic plant carries out power scheduling in time, ensures the stability of power grid, and strong according to property, and deviation is small, can improve the accuracy of photovoltaic plant forecast generated energy.
Description
Technical field
The utility model belongs to technical field of photovoltaic power generation, more particularly to a kind of built photovoltaic power station power generation amount forecast system.
Background technology
With the continuous development of photovoltaic technology, various large-scale photovoltaic generating systems (i.e. photovoltaic plant) also gradually rise,
Photovoltaic plant is that one kind of original electric system is supplemented, still, since the principle of photovoltaic panel electricity generation system is turned using photoelectricity
The technology of changing converts light energy into electric energy, and the height of the efficiency of its photoelectric conversion process is heavily dependent on where the photovoltaic generating system
The meteorological condition in area, i.e. the fluctuation of the meteorologic parameter such as temperature, wind speed will directly affect the generated energy of the photovoltaic power system, light
Photovoltaic generating system is not a kind of continual and steady electric power system, has the fluctuation and intermittence of extreme, this is necessarily to whole electricity
The power scheduling of Force system brings great difficulty, will be direct once greatly change occurs for the generated energy of photovoltaic generating system
Influence the stability of power grid.
Existing power station brings formula into using irradiation sensor irradiation value and calculates theoretical power generation, and many parameters are set in formula
It is digital experience to establish a capital, and poor according to property, deviation is bigger.
Due to existing theoretical power generation calculation there are irradiation instrument low precision, component temperature measurement error, due to not
With batch component attenuation rate difference, calculation formula is inaccurate the problems such as, so the theoretical power generation data calculated are unreliable, nothing
Method substitutes into system-computed analysis power station generating efficiency.
Utility model content
The utility model not only has mainly solving the technical problems that providing a kind of built photovoltaic power station power generation amount forecast system
High credibility, consequently facilitating photovoltaic plant carries out power scheduling in time, ensures the stability of power grid, and strong according to property,
Deviation is small, can improve the accuracy of photovoltaic plant forecast generated energy.
In order to solve the above technical problems, the technical solution that the utility model uses is：A kind of built photovoltaic power station power generation amount
Forecast system, including solar radiation forecast system and history generated energy forecast system, the solar radiation forecast system include the
One memory, meteorologic parameter detector and the first computing unit, the first memory and meteorologic parameter detector difference
It is connected with first computing unit, the meteorologic parameter detector includes irradiation instrument, temperature detector, wind speed measurement device, wind
To detector and moisture detector；
The history generated energy forecast system includes power generation amount detector, the meteorologic parameter detector, second memory
With the second computing unit, the meteorologic parameter detector is connected with the second memory and second computing unit respectively,
The second memory is connected with second computing unit, it is described power generation amount detector by the second memory with it is described
Second computing unit connects；
Further include the 3rd memory and the 3rd computing unit, it is first computing unit, described second computing unit, described
Power generation amount detector and the 3rd computing unit are connected with the 3rd memory respectively.
Further say, the first memory is for storing the letter between each meteorologic parameter and built photovoltaic power station power generation amount
The memory of number relation.
Further say, the second memory is by the meteorologic parameter information on the same day and the generated energy on same day one-to-one corresponding
Into the memory of storage.
Further say, the 3rd computer unit is connected with display screen.
Further, the display screen is LED display or LCD display.
Further, the connection mode of the 3rd computer unit and the display screen is bluetooth, Wifi or NFC.
The beneficial effects of the utility model at least have it is following some：
First, the utility model gathers meteorological data by the meteorologic parameter detector of solar radiation forecast system, using each
Functional relation between meteorologic parameter and next multiple moment built photovoltaic power station power generation amounts is predicted, in combination with photovoltaic plant
The data analysis of history generated energy forecast system, and then built photovoltaic power station power generation amount prediction data is obtained, data can with high
Letter property, consequently facilitating photovoltaic plant carries out power scheduling in time, ensures the stability of power grid；
2nd, the meteorologic parameter detector of the utility model includes irradiation instrument, temperature detector, wind speed measurement device, wind direction inspection
Device and moisture detector are surveyed, functional operation is carried out by multiple meteorologic parameters, forecasts the photovoltaic plant hair at next multiple moment
Electricity, strong according to property, deviation is small, can improve the accuracy of photovoltaic plant forecast generated energy.
Brief description of the drawings
Fig. 1 is the structure diagram of the utility model；
Each several part mark is as follows in attached drawing：
First memory 1, meteorologic parameter detector 2, the first computing unit 3, coulometric detector 4, second memory 5,
Two computing units 6, the 3rd memory 7, the 3rd computing unit 8 and display screen 9.
Embodiment
The preferred embodiment to the utility model is described in detail below in conjunction with the accompanying drawings, so that the advantages of the utility model
It can be easier to be readily appreciated by one skilled in the art with feature, so as to make the scope of protection of the utility model apparent clear and definite
Define.
Embodiment：A kind of built photovoltaic power station power generation amount forecast system, as shown in Figure 1, including solar radiation forecast system and going through
History generated energy forecast system, the solar radiation forecast system includes first memory 1, meteorologic parameter detector 2 and first is counted
Unit 3 is calculated, the first memory 1 and the meteorologic parameter detector 2 are connected with first computing unit 3 respectively, described
Meteorologic parameter detector 2 includes irradiation instrument, temperature detector, wind speed measurement device, wind direction detector and moisture detector；
The history generated energy forecast system includes power generation amount detector 4, the meteorologic parameter detector 2, second stores
5 and second computing unit 6 of device, the meteorologic parameter detector 2 respectively with the second memory 5 and second computing unit
6 connections, the second memory 5 and second computing unit 6 connect, and the power generation amount detector 4 is deposited by described second
Reservoir 5 is connected with second computing unit 6；
Further include the 3rd memory 7 and the 3rd computing unit 8, first computing unit 3, described second computing unit 6,
The power generation amount detector 4 and the 3rd computing unit 8 are connected with the 3rd memory 7 respectively.
The first memory 1 is for storing depositing for the functional relation between each meteorologic parameter and built photovoltaic power station power generation amount
Reservoir.
The second memory 5 is that the meteorologic parameter information on the same day and the generated energy on the same day are corresponded depositing into storage
Reservoir.
3rd computer unit 8 is connected with display screen 9.
The display screen 9 is LED display or LCD display.
The connection mode of 3rd computer unit 8 and the display screen 9 is bluetooth, Wifi or NFC.
The operation principle of the utility model is as follows：The utility model is detected by the meteorologic parameter of solar radiation forecast system
Device gathers meteorological data, is carried out using the functional relation between each meteorologic parameter and following multiple moment built photovoltaic power station power generation amounts
Prediction, in combination with the data analysis of photovoltaic plant history generated energy forecast system, and then obtains built photovoltaic power station power generation amount prediction
Data, data have high credibility, consequently facilitating photovoltaic plant carries out power scheduling in time, ensure the stability of power grid；
Meteorologic parameter detector includes irradiation instrument, temperature detector, wind speed measurement device, wind direction detector and Humidity Detection
Device, carries out functional operation by multiple meteorologic parameters, forecasts the built photovoltaic power station power generation amount at next multiple moment, strong according to property,
Deviation is small, can improve the accuracy of photovoltaic plant forecast generated energy.
The above description is only the embodiments of the present invention, and it does not limit the scope of the patent of the present invention, every
Equivalent structure transformation made based on the specification and figures of the utility model, it is relevant to be directly or indirectly used in other
Technical field, is equally included in the patent within the scope of the utility model.
Claims (6)
1. a kind of built photovoltaic power station power generation amount forecast system, including solar radiation forecast system and history generated energy forecast system, its
It is characterized in that：The solar radiation forecast system includes first memory (1), meteorologic parameter detector (2) and first calculates list
First (3), the first memory and the meteorologic parameter detector are connected with first computing unit respectively, the meteorological ginseng
Number detector includes irradiation instrument, temperature detector, wind speed measurement device, wind direction detector and moisture detector；
The history generated energy forecast system includes power generation amount detector (4), the meteorologic parameter detector, second memory
(5) and the second computing unit (6), the meteorologic parameter detector respectively with the second memory and second computing unit
Connection, the second memory are connected with second computing unit, and the power generation amount detector passes through the second memory
It is connected with second computing unit；
Further include the 3rd memory (7) and the 3rd computing unit (8), first computing unit, described second computing unit, institute
State power generation amount detector and the 3rd computing unit is connected with the 3rd memory respectively.
A kind of 2. built photovoltaic power station power generation amount forecast system according to claim 1, it is characterised in that：The first memory
It is the memory for storing the functional relation between each meteorologic parameter and built photovoltaic power station power generation amount.
A kind of 3. built photovoltaic power station power generation amount forecast system according to claim 1, it is characterised in that：The second memory
It is the memory corresponded the meteorologic parameter information on the same day and the generated energy on the same day into storage.
A kind of 4. built photovoltaic power station power generation amount forecast system according to claim 1, it is characterised in that：3rd computer
Unit is connected with display screen (9).
A kind of 5. built photovoltaic power station power generation amount forecast system according to claim 4, it is characterised in that：The display screen is
LED display or LCD display.
A kind of 6. built photovoltaic power station power generation amount forecast system according to claim 4, it is characterised in that：3rd computer
The connection mode of unit and the display screen is bluetooth, Wifi or NFC.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720853822.3U CN207263825U (en) | 2017-07-14 | 2017-07-14 | A kind of built photovoltaic power station power generation amount forecast system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720853822.3U CN207263825U (en) | 2017-07-14 | 2017-07-14 | A kind of built photovoltaic power station power generation amount forecast system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207263825U true CN207263825U (en) | 2018-04-20 |
Family
ID=61926859
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201720853822.3U Expired - Fee Related CN207263825U (en) | 2017-07-14 | 2017-07-14 | A kind of built photovoltaic power station power generation amount forecast system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207263825U (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110751333A (en) * | 2019-10-21 | 2020-02-04 | 南京信息工程大学 | A distributed solar photovoltaic power generation forecast system |
-
2017
- 2017-07-14 CN CN201720853822.3U patent/CN207263825U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110751333A (en) * | 2019-10-21 | 2020-02-04 | 南京信息工程大学 | A distributed solar photovoltaic power generation forecast system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Paredes-Parra et al. | PV module monitoring system based on low-cost solutions: Wireless raspberry application and assessment | |
| Erraissi et al. | Implementation of a low-cost data acquisition system for “PROPRE. MA” project | |
| JP5856294B2 (en) | Photovoltaic power generation monitoring method and solar power generation monitoring system used for the method | |
| US20160224702A1 (en) | Method of calculating voltage and power of large-scaled photovoltaic power plant | |
| CN107341566A (en) | Photovoltaic system electricity generation power prediction meanss and its method based on meteorologic parameter Yu solar panel running state parameter | |
| CN102810861A (en) | Generating capacity prediction method and system for photovoltaic generating system | |
| CN105512760A (en) | Neural network-based calculation method and calculation system for calculating power-generating capacity of photovoltaic station | |
| Kragh et al. | Increased power capture by rotor speed–dependent yaw control of wind turbines | |
| Magare et al. | Wind effect modeling and analysis for estimation of photovoltaic module temperature | |
| CN105356851B (en) | Method for testing incident angle influence factor of photovoltaic module | |
| CN108615087A (en) | A kind of photovoltaic module temperature short term prediction method and its forecasting system | |
| Asnil et al. | Real-time monitoring system using IoT for photovoltaic parameters | |
| CN104113281A (en) | Novel multi-channel solar cell module test system and double intelligent scan method | |
| CN103399219A (en) | Method for monitoring performance of photovoltaic power station in real time | |
| CN207051961U (en) | Solar energy power generating amount forecasting system | |
| CN207263825U (en) | A kind of built photovoltaic power station power generation amount forecast system | |
| Frischholz et al. | Confirmation of the power gain for solar photovoltaic systems in alpine areas and across scales | |
| CN104008284A (en) | Correcting method for anemometer tower in numerical weather prediction | |
| CN115840865A (en) | Carbon emission factor calculation method and carbon footprint metering device, method and system | |
| CN202793450U (en) | Data monitoring and acquiring device for small photovoltaic power generation system | |
| Bayray et al. | Wind energy data analysis and resource mapping of geba catchment, north Ethiopia | |
| CN103234583A (en) | Real-time monitoring system with light measuring and wind measuring functions | |
| Agung | Design of Weather Monitoring System for Intermittent Power Generation using Blynk Platform | |
| CN206162654U (en) | Photovoltaic power plant subassembly environment power prediction system | |
| CN114034128B (en) | A method and system for measuring incoming cloud distribution in a mirror field |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180420 Termination date: 20180714 |