CN107665382A - Photovoltaic module power gray scale prediction algorithm based on historical power data - Google Patents
Photovoltaic module power gray scale prediction algorithm based on historical power data Download PDFInfo
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- CN107665382A CN107665382A CN201711015158.6A CN201711015158A CN107665382A CN 107665382 A CN107665382 A CN 107665382A CN 201711015158 A CN201711015158 A CN 201711015158A CN 107665382 A CN107665382 A CN 107665382A
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Abstract
The invention discloses the photovoltaic module power gray scale prediction algorithm based on historical power data, comprise the following steps successively：Step 1: one or more groups of photovoltaic module arrays are chosen as monitoring group in photovoltaic plant；Step 2: monitoring subsystem is set to gather generated energy data and dust stratification data at the photovoltaic module array of monitoring group；Step 3: establishing function model according to generated energy data and dust stratification data, the functional relation of generated output data and dust stratification data is drawn；Step 3: monitoring generated energy data and dust stratification data for a period of time by monitoring subsystem and gathered data；Step 4: establish dust stratification data and the relation comparison database of power data；Step 5: consulting analysis power data compared with the power data currently drawn by comparison database, dust stratification data corresponding to the power data of current photovoltaic module array are drawn.It is easy to administrative staff's power data to draw dust stratification data, avoids the dust on photovoltaic module surface to the influence of generating efficiency.
Description
Technical field
The present invention relates to photovoltaic module, and in particular to the photovoltaic module power gray scale based on historical power data is calculated in advance
Method.
Background technology
Solar energy grid-connected photovoltaic system is directly logical without batteries to store energy by the way that solar energy is converted into electric energy
Combining inverter is crossed, electric energy is served power network.Solar grid-connected generate electricity represents the developing direction of sun-generated electric power, is 21 century
The most energy utilization technology of attraction.Compared with off-network solar power system, grid-connected system has advantages below:Profit
It is clean with cleaning, reproducible natural energy resources solar power generation, non-renewable, the carbon containing fossil energy of resource-constrained is not consumed
Source, it is harmonious with ecological environment without room gas and pollutant emission in use, meet sustainable development of socio-economy strategy.Sent out
Electric energy feed-in power network, using power network as energy storage device, saves battery, and the construction investment than independent solar photovoltaic system can be reduced
Up to 25%-45%, so that cost of electricity-generating is greatly lowered.Save battery and mean free error time and the storage of system can be improved
The secondary pollution of battery.Photovoltaic cell component and building perfect adaptation, the and can that can both generate electricity is as construction material and decoration material
Material, makes physical resources make full use of performance multiple functions, is not only advantageous to reduce construction cost, and also contain building science and technology
Amount improves, and increases attraction.Distribution build, nearby on the spot disperse hair power supply, into and exit Flexible Power Grid, not only improve enhancing
The ability of war and disaster is resisted in power system, is advantageous to improve the balancing the load of power system again, and can reduce line loss.
Peak Load Adjustment can be played.Networking solar energy photovoltaic system be the focus that competitively develops in photovoltaic application field of each developed country of the world and
Emphasis, it is the mainstream development trend of world's solar energy power generating, market is huge, has a extensive future.
Solar cell power generation system is that it is that solar radiation energy is direct using made of photovoltaic effect principle
It is converted into the electricity generation system of electric energy.It is mainly made up of solar cell array and combining inverter two parts.There is sunshine on daytime
When, electric energy is delivered directly on AC network by the electricity that solar cell array is sent by combining inverter, or by solar energy
The electricity sent is directly powered by combining inverter for AC load.
In the prior art, have that the photovoltaic module array of the photovoltaic plant number of dust during use directly affects
The problem of generated output of photovoltaic module.
The content of the invention
The present invention solves the photovoltaic module array of photovoltaic plant existing for the prior art dust during use
How many problem of directly affecting the generated output of photovoltaic module, there is provided the photovoltaic module power gray scale based on historical power data is pre-
Method of determining and calculating, it can judge the dust stratification degree of photovoltaic module array by the current generated output of photovoltaic module array when applying,
It is easy to the cleaning for the generated output situation reasonable arrangement photovoltaic module that administrative staff pass through photovoltaic module array, is easy to improve photovoltaic
The generated output of assembly array.
The present invention is achieved through the following technical solutions：
Photovoltaic module power gray scale prediction algorithm based on historical power data, comprises the following steps successively：Step 1:
Photovoltaic plant chooses one or more groups of photovoltaic module arrays as monitoring group；Step 2: at the photovoltaic module array of monitoring group
Monitoring subsystem, the generated energy data and photovoltaic module array of the photovoltaic module array of monitoring subsystem collection monitoring group are set
Dust stratification data；Step 3: establish function according to the dust stratification data of the generated energy data of photovoltaic module array and photovoltaic module array
Model, draw the functional relation of the power data of photovoltaic module and the dust stratification data of photovoltaic module array；Step 3: pass through monitoring
The generated energy data of subsystem monitoring photovoltaic module array and the dust stratification data of photovoltaic module array are for a period of time and gathered data；
Step 4: establish the dust stratification data of photovoltaic module array and the relation comparison database of the power data of photovoltaic module；Step 5:
The power data and the power data ratio of the photovoltaic module currently drawn of analysis photovoltaic module array are consulted by comparison database
Compared with drawing dust stratification data corresponding to the power data of current photovoltaic module array.The present invention is by gathering photovoltaic module array
The dust stratification data of generated energy data and photovoltaic module array, establish generated output and generated energy that function model draws photovoltaic module
The relation of data and dust stratification data, gather the generated energy data and product of photovoltaic module in a period of time in real time by monitoring subsystem
Grey data, corresponding multigroup generated output data are drawn by multigroup generated energy data and multigroup dust stratification data, establish generating work(
The comparison database of rate data and dust stratification data, current generated output data and comparison database are drawn by monitoring subsystem
Carry out consulting the dust stratification data for comparing and drawing photovoltaic module array corresponding to current generated output, be easy to administrative staff to pass through photovoltaic
The generated output data of assembly array draw dust stratification data, are easy to the cleaning of reasonable arrangement photovoltaic module array, avoid photovoltaic group
Influence of the dust on part surface to generating efficiency, improve the generating efficiency of photovoltaic module.
Further, the photovoltaic module power gray scale prediction algorithm based on historical power data, the dust stratification data include
Soft shadow data, rigid shadow data；The soft shadow data are by the dust stratification data to photovoltaic module array certain
The dust stratification data variation of time measures out, and the rigid shadow data subtracts dust stratification data variation by the dust stratification data of maximum
Measure.By removing accounting of the soft shadow data in whole photovoltaic module array dust stratification data, draw real in dust stratification data
The rigid shade on border, the dust data with being just attached to photovoltaic module array surface, is easy to more accurately judge photovoltaic group
The generated output data of part array and the relation of dust stratification data.
Further, the photovoltaic module power gray scale prediction algorithm based on historical power data, the monitoring subsystem bag
Solar radiation spectrometer, Temperature Humidity Sensor, shaded area monitoring system are included, the radiant light spectrometer is used to gather sunshine
Irradiation intensity, the Temperature Humidity Sensor is used to gather the humiture of photovoltaic plant environment, the shaded area monitoring system
For the shaded area for the dust stratification data for gathering photovoltaic module.By gathering the irradiation intensity of photovoltaic plant and the humiture of environment
Data accurately judge the generated output data of photovoltaic module array, while gather photovoltaic module by shaded area monitoring system
The shade area coverage of array, it is easy to calculate density of the dust in photovoltaic module array surface.
The present invention compared with prior art, has the following advantages and advantages：
1st, the photovoltaic module power gray scale prediction algorithm of the invention based on historical power data, is drawn by monitoring subsystem
Current generated output data draw photovoltaic module array corresponding to current generated output compared with carrying out access with comparison database
Dust stratification data, be easy to administrative staff to draw dust stratification data by the generated output data of photovoltaic module array, be easy to rationally pacify
The cleaning of photovoltaic module array is arranged, avoids the dust on photovoltaic module surface from improving the hair of photovoltaic module to the influence of generating efficiency
Electrical efficiency.
2nd, the photovoltaic module power gray scale prediction algorithm of the invention based on historical power data, by removing soft shadow number
According to the accounting in whole photovoltaic module array dust stratification data, rigid shade actual in dust stratification data is drawn, with being just attached to
The dust data of photovoltaic module array surface, it is easy to more accurately judge the generated output data and dust stratification of photovoltaic module array
The relation of data.
3rd, the photovoltaic module power gray scale prediction algorithm of the invention based on historical power data, by gathering photovoltaic plant
The data of the Temperature and Humidity module of irradiation intensity and environment accurately judges the generated output data of photovoltaic module array, while passes through shadow surface
The shade area coverage of product monitoring system collection photovoltaic module array, is easy to calculate dust in the close of photovoltaic module array surface
Degree.
Embodiment
For the object, technical solutions and advantages of the present invention are more clearly understood, with reference to embodiment, the present invention is made
Further to describe in detail, exemplary embodiment of the invention and its explanation are only used for explaining the present invention, are not intended as to this
The restriction of invention.
Embodiment
Photovoltaic module power gray scale prediction algorithm based on historical power data, comprises the following steps successively：Step 1:
Photovoltaic plant chooses one or more groups of photovoltaic module arrays as monitoring group；Step 2: at the photovoltaic module array of monitoring group
Monitoring subsystem, the generated energy data and photovoltaic module array of the photovoltaic module array of monitoring subsystem collection monitoring group are set
Dust stratification data；Step 3: establish function according to the dust stratification data of the generated energy data of photovoltaic module array and photovoltaic module array
Model, draw the functional relation of the power data of photovoltaic module and the dust stratification data of photovoltaic module array；Step 3: pass through monitoring
The generated energy data of subsystem monitoring photovoltaic module array and the dust stratification data of photovoltaic module array are for a period of time and gathered data；
Step 4: establish the dust stratification data of photovoltaic module array and the relation correction data of the power data of photovoltaic module
Storehouse；Step 5: the power data of analysis photovoltaic module array and the photovoltaic module currently drawn are consulted by comparison database
Power data compares, and draws dust stratification data corresponding to the power data of current photovoltaic module array.The dust stratification data include soft
Property shadow data, rigid shadow data；The soft shadow data are by the dust stratification data to photovoltaic module array in a timing
Between dust stratification data variation measure out, the rigid shadow data subtracts dust stratification data variation amount by the dust stratification data of maximum
Obtain.The monitoring subsystem includes solar radiation spectrometer, Temperature Humidity Sensor, shaded area monitoring system, the spoke
The irradiation intensity that spectrometer is used to gather sunshine is penetrated, the Temperature Humidity Sensor is used to gather the warm and humid of photovoltaic plant environment
Degree, the shaded area monitoring system are used for the shaded area for gathering the dust stratification data of photovoltaic module.
The present invention accurately judges photovoltaic module by the data of the Temperature and Humidity module of the irradiation intensity and environment that gather photovoltaic plant
The generated output data of array, at the same by shaded area monitoring system gather photovoltaic module array shade area coverage, just
In calculate dust photovoltaic module array surface density.By the generated energy data and photovoltaic module that gather photovoltaic module array
The dust stratification data of array, establish generated output and the pass of generated energy data and dust stratification data that function model draws photovoltaic module
System, the generated energy data and dust stratification data of photovoltaic module in a period of time are gathered by monitoring subsystem in real time, soft by removing
Property shadow data draws rigid shade actual in dust stratification data in the accounting of whole photovoltaic module array dust stratification data, and just
The dust data of photovoltaic module array surface are attached to, are easy to more accurately judge the generated output number of photovoltaic module array
According to the relation with dust stratification data, corresponding multigroup generated output number is drawn by multigroup generated energy data and multigroup dust stratification data
According to establishing the comparison database of generated output data and dust stratification data, current generated output number drawn by monitoring subsystem
The dust stratification data of photovoltaic module array corresponding to current generated output are drawn compared with according to comparison database consult, are easy to pipe
Reason personnel draw dust stratification data by the generated output data of photovoltaic module array, are easy to the clear of reasonable arrangement photovoltaic module array
Wash, avoid the dust on photovoltaic module surface from improving the generating efficiency of photovoltaic module to the influence of generating efficiency.
Above-described embodiment, the purpose of the present invention, technical scheme and beneficial effect are carried out further
Describe in detail, should be understood that the embodiment that the foregoing is only the present invention, be not intended to limit the present invention
Protection domain, within the spirit and principles of the invention, any modification, equivalent substitution and improvements done etc., all should include
Within protection scope of the present invention.
Claims (3)
1. the photovoltaic module power gray scale prediction algorithm based on historical power data, it is characterised in that comprise the following steps successively：
Step 1: one or more groups of photovoltaic module arrays are chosen as monitoring group in photovoltaic plant；
Step 2: setting monitoring subsystem at the photovoltaic module array of monitoring group, monitoring subsystem gathers the photovoltaic of monitoring group
The generated energy data of assembly array and the dust stratification data of photovoltaic module array；
Step 3: function model is established according to the dust stratification data of the generated energy data of photovoltaic module array and photovoltaic module array,
Draw the functional relation of the power data of photovoltaic module and the dust stratification data of photovoltaic module array；
Step 3: the generated energy data of photovoltaic module array and the dust stratification data of photovoltaic module array are monitored by monitoring subsystem
A period of time and gathered data；
Step 4: establish the dust stratification data of photovoltaic module array and the relation comparison database of the power data of photovoltaic module；
Step 5: the power data of analysis photovoltaic module array and the photovoltaic module currently drawn are consulted by comparison database
Power data compares, and draws dust stratification data corresponding to the power data of current photovoltaic module array.
2. the photovoltaic module power gray scale prediction algorithm according to claim 1 based on historical power data, its feature exist
In the dust stratification data include soft shadow data, rigid shadow data；The soft shadow data pass through to photovoltaic module battle array
Dust stratification data variation of the dust stratification data of row in certain time measures out, the dust stratification number that the rigid shadow data passes through maximum
Measured according to dust stratification data variation is subtracted.
3. the photovoltaic module power gray scale prediction algorithm according to claim 1 based on historical power data, its feature exist
In the monitoring subsystem includes solar radiation spectrometer, Temperature Humidity Sensor, shaded area monitoring system, the radiation
Spectrometer is used for the irradiation intensity for gathering sunshine, and the Temperature Humidity Sensor is used for the humiture for gathering photovoltaic plant environment,
The shaded area monitoring system is used for the shaded area for gathering the dust stratification data of photovoltaic module.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111445036A (en) * | 2020-03-10 | 2020-07-24 | 苏州瑞得恩工业物联网科技有限公司 | Dynamic adjustment method for cleaning frequency of photovoltaic power station and storage medium |
| CN114113774A (en) * | 2021-11-19 | 2022-03-01 | 国网辽宁省电力有限公司鞍山供电公司 | State analysis method of distribution transformer based on zero line current data |
| CN116232222A (en) * | 2023-05-10 | 2023-06-06 | 山东科技大学 | Cloud edge cooperative dust accumulation degree monitoring method and system for distributed photovoltaic system |
-
2017
- 2017-10-26 CN CN201711015158.6A patent/CN107665382A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111445036A (en) * | 2020-03-10 | 2020-07-24 | 苏州瑞得恩工业物联网科技有限公司 | Dynamic adjustment method for cleaning frequency of photovoltaic power station and storage medium |
| CN111445036B (en) * | 2020-03-10 | 2023-05-30 | 苏州瑞得恩工业物联网科技有限公司 | Dynamic adjustment method for cleaning frequency of photovoltaic power station and storage medium |
| CN114113774A (en) * | 2021-11-19 | 2022-03-01 | 国网辽宁省电力有限公司鞍山供电公司 | State analysis method of distribution transformer based on zero line current data |
| CN114113774B (en) * | 2021-11-19 | 2023-12-19 | 国网辽宁省电力有限公司鞍山供电公司 | State analysis method of distribution transformer based on zero line current data |
| CN116232222A (en) * | 2023-05-10 | 2023-06-06 | 山东科技大学 | Cloud edge cooperative dust accumulation degree monitoring method and system for distributed photovoltaic system |
| CN116232222B (en) * | 2023-05-10 | 2023-09-08 | 山东科技大学 | Cloud edge cooperative dust accumulation degree monitoring method and system for distributed photovoltaic system |
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