CN103020766B - Photovoltaic power generation quantity method of planning for photovoltaic generating system - Google Patents
Photovoltaic power generation quantity method of planning for photovoltaic generating system Download PDFInfo
- Publication number
- CN103020766B CN103020766B CN201210529753.2A CN201210529753A CN103020766B CN 103020766 B CN103020766 B CN 103020766B CN 201210529753 A CN201210529753 A CN 201210529753A CN 103020766 B CN103020766 B CN 103020766B
- Authority
- CN
- China
- Prior art keywords
- photovoltaic
- coefficient
- correction factor
- generating system
- power generation
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000010248 power generation Methods 0.000 title claims abstract description 25
- 238000012937 correction Methods 0.000 claims abstract description 47
- 238000006243 chemical reaction Methods 0.000 claims abstract description 8
- 238000011109 contamination Methods 0.000 claims abstract description 8
- 238000003491 array Methods 0.000 claims abstract description 6
- 230000005855 radiation Effects 0.000 claims description 15
- 229910021419 crystalline silicon Inorganic materials 0.000 claims description 12
- 230000003068 static effect Effects 0.000 claims description 3
- 238000005286 illumination Methods 0.000 abstract description 7
- 238000013461 design Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000005611 electricity Effects 0.000 description 3
- 229910021417 amorphous silicon Inorganic materials 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 101000604223 Homo sapiens Nocturnin Proteins 0.000 description 1
- 102100038815 Nocturnin Human genes 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000000205 computational method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000013083 solar photovoltaic technology Methods 0.000 description 1
- 230000002459 sustained effect Effects 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Photovoltaic Devices (AREA)
Abstract
The invention provides a kind of photovoltaic power generation quantity method of planning for photovoltaic generating system, comprise the steps: that (a) obtains the estimation generated energy of photovoltaic generating system, H according to formulaAFor the total irradiation of horizontal plane solar energy；Es is the intensity of sunshine under standard state；PAZInstalled capacity for photovoltaic system；K is overall efficiency coefficient, and overall efficiency coefficient includes: component type correction factor；The inclination angle of photovoltaic arrays and azimuth correction factor；Photovoltaic generating system availability coefficient；Illumination range of value；Inverter efficiency coefficient；Collection electric line and booster transformer loss correction coefficient；Photovoltaic module surface contamination correction factor；And photovoltaic module conversion efficiency correction factor；And (b) is according to estimating generated energy, adjusts the actual power generation of photovoltaic generating system.According to photovoltaic power generation quantity method of planning of the present invention, determine overall efficiency COEFFICIENT K to considering according to whole photovoltaic generating system, therefore obtain overall efficiency COEFFICIENT K more accurately.
Description
Technical field
The present invention relates to photovoltaic generating system, particularly for the photovoltaic power generation quantity method of planning of photovoltaic generating system.
Background technology
Solar photovoltaic technology becomes a study hotspot in renewable energy power generation field, the world today.Not
Coming, the large-scale grid-connected photovoltaic power generation system of China is by sustained and rapid development.
Solar energy power generating has undulatory property and intermittence, and large-scale photovoltaic power station is incorporated into the power networks can affect power system
Safe and stable, economic operation.The average year online generated energy calculating photovoltaic plant contributes to dispatching of power netwoks department pool peace
Row's normal power supplies and the cooperation of photovoltaic generation, in time adjust operation plan.
But China is the weakest to the research of the average year online generated energy computational methods of photovoltaic plant at present, almost without
The method that can meet actual solar energy power generating amount forecast demand.
In prior art, photo-voltaic power generation station annual electricity volume Ep is calculated as follows:
In formula: HAHorizontal plane solar energy total irradiation (kWh/m2, with meteorological standard observation data consistent)；
Intensity of sunshine under Es standard state, equal to 1000W/m2；
PAZ--the installed capacity of photovoltaic system, is the summation of solar components standard output power, kWp in photovoltaic system.
K is overall efficiency coefficient.
In above-mentioned formula, A, HA、Es、PAZFor known initial conditions, overall efficiency COEFFICIENT K then needs to send out according to whole photovoltaic
Electricity system considers and determines.Every point of coefficient view of composition overall efficiency COEFFICIENT K is differed, even by industry now
There is not the precedent of practicality.
Thus, industry needs a kind of rule to the photovoltaic power generation quantity that every point of coefficient of overall efficiency COEFFICIENT K is determined
The method of drawing.
Summary of the invention
Therefore, it is desirable to provide the planing method of a kind of accurate photovoltaic power generation quantity.
One aspect of the present invention provides a kind of photovoltaic power generation quantity method of planning for photovoltaic generating system, including such as
Lower step: (a) is according to formula
Obtain the estimation generated energy of described photovoltaic generating system,
Wherein, HAFor the total irradiation of horizontal plane solar energy；Es is the intensity of sunshine under standard state, equal to 1000W/m2；
PAZInstalled capacity for photovoltaic system；
K is overall efficiency coefficient, and described overall efficiency coefficient includes: component type correction factor；The inclination angle of photovoltaic arrays
With azimuth correction factor；Photovoltaic generating system availability coefficient；Illumination range of value；Inverter efficiency coefficient；Collection electric wire
Road and booster transformer loss correction coefficient；Photovoltaic module surface contamination correction factor；And photovoltaic module conversion efficiency correction system
Number；And (b) is according to described estimation generated energy, adjusts the actual power generation of described photovoltaic generating system；Described inverter efficiency system
Number so determines, i.e. combines the situation at sunshine of CHINESE REGION, determines shared by the inverter rated input power of different weight percentage
Weight.
In some embodiments, described component type correction factor includes: crystalline silicon correction factor and non-crystalline silicon correction factor.
In some embodiments, the inclination angle of described photovoltaic arrays and azimuth correction factor are by spoke on optimum angle of incidence and inclined plane
Penetrate and measure.
In some embodiments, described optimum angle of incidence is, carries out the value of solar radiation amount corresponding under multiple predetermined inclination
Fitting of a polynomial, taking peak of curve is the amount of radiation under optimum angle of incidence, the inclination angle that peak value is corresponding.
In some embodiments, described weight be the peak power output of solaode be inverter rated input power
5%, 10%, 20%, 30%, 50%, 100% time, inverter static is followed the tracks of efficiency or conversion efficiency and is represented in 1 year about
There is the weighted average of the coefficient X/100 that the time inverter of X% runs under this efficiency.
In some embodiments, described photovoltaic module conversion efficiency correction factor includes proportionality coefficient, described proportionality coefficient by
Being calculated, computing formula is that surface temperature is directly proportional to-3/10 power of wind speed and determines.
In some embodiments, the computing formula of described photovoltaic module conversion efficiency correction factor is: Ts=Tc+G*(Tb-
20)/800+K*w-0.3。
According to photovoltaic power generation quantity method of planning of the present invention, determine considering according to whole photovoltaic generating system
Overall efficiency COEFFICIENT K, therefore obtains overall efficiency COEFFICIENT K more accurately.
Below in conjunction with accompanying drawing, it is illustrated by way of example the description of present subject matter, to understand other aspects of the present invention and excellent
Point.
Accompanying drawing explanation
In conjunction with accompanying drawing, by detailed description below, the above-mentioned and other feature of the present invention and excellent can be more clearly understood that
Point, wherein:
Fig. 1 is the flow chart of the method for planning according to the embodiment of the present invention；
Fig. 2 is the correction of amount of radiation in optimum angle of incidence and inclined plane；
Fig. 3 is the calculation flow chart of overall efficiency COEFFICIENT K；
Fig. 4 is to throw the monthly average radiation in the inclined-plane to equator inclination.
Detailed description of the invention
See the accompanying drawing of the specific embodiment of the invention, the present invention is described in more detail.But, the present invention can be with
Many multi-forms realize, and should not be construed as the embodiment by herein proposing and limited.On the contrary, proposing these embodiments is
In order to reach fully and complete disclosure, and those skilled in the art are made to understand the scope of the present invention completely.
Description describes embodiments of the invention in detail.
As it is shown in figure 1, in the photovoltaic power generation quantity method of planning for photovoltaic generating system according to embodiments of the present invention,
In step S101, according to formula:
Obtain the estimation generated energy of described photovoltaic generating system.In described formula, HAFor the total irradiation of horizontal plane solar energy；
Es is the intensity of sunshine under standard state, equal to 1000W/m2；PAZInstalled capacity for photovoltaic system.Above-mentioned parameter system industry is normal
See parameter, do not repeat them here.
Described K is overall efficiency coefficient, and in the present embodiment, described overall efficiency coefficient includes: component type correction factor；
The inclination angle of photovoltaic arrays and azimuth correction factor；Photovoltaic generating system availability coefficient；Illumination range of value；Inverter is imitated
Rate coefficient；Collection electric line and booster transformer loss correction coefficient；Photovoltaic module surface contamination correction factor；And photovoltaic module turns
Change Efficiency correction coefficient.
Hereinafter with reference to Fig. 3 in detail overall efficiency COEFFICIENT K is described in detail.
Overall efficiency COEFFICIENT K includes assembly adjusted coefficient K1, it includes that the corresponding crystalline silicon of crystalline silicon component characteristic is repaiied
Positive coefficient and the non-crystalline silicon correction factor corresponding with amorphous silicon module characteristic.In the present embodiment, crystalline silicon correction factor is
1.0, and non-crystalline silicon correction factor is 1.02.But, the invention is not restricted to this design parameter, if assembly adjusted coefficient K1Simultaneously
Consider crystalline silicon correction factor and and non-crystalline silicon correction factor.
Overall efficiency COEFFICIENT K includes inclination correction COEFFICIENT K2.Existing calculating photovoltaic module is at local optimum angle of incidence and is somebody's turn to do
Amount of radiation calculating in inclined plane is mostly based on Retscreen and " solar energy resources appraisal procedure (QXT 89-2008) " is given
Formula, wherein retscreen is external software for calculation, and " solar energy resources appraisal procedure (QXT 89-2008) " calculates needs
Owner provides the most detailed solar radiation data, and is calculated value.
Inclination correction COEFFICIENT K of the present invention2Consider amount of radiation in optimum angle of incidence and inclined plane.As indicated at 3, can be to klein
Formula calculated value is modified, and public data only need to be utilized to calculate.In the present embodiment, described public data is
The value of corresponding solar radiation amount under each month can found on NASA (NASA) official website 5 different angle.Institute
State shown in public data chart as shown in Figure 4.In the present embodiment, utilize 0～90 degree of these five data as open number
According to calculating.
According to the definition of optimum angle of incidence, data with existing being carried out fitting of a polynomial, taking peak of curve is under optimum angle of incidence
Amount of radiation, the inclination angle that peak value is corresponding is optimum angle of incidence.The method is simple, effectively, the most consistent with theoretical value technology.Due to
NASA Data Source is measured value, so can verify general theoretical value or revise.
Should be understood that described public data is not limited to this, but can be the value of any available solar radiation amount.
Overall efficiency COEFFICIENT K includes photovoltaic generating system availability COEFFICIENT K3.Photovoltaic generating system availability COEFFICIENT K3For light
The Common Parameters of photovoltaic generating system, the general fault considering photovoltaic generating system and maintenance and determine.In the present embodiment, photovoltaic is sent out
Electricity system availability COEFFICIENT K3Obtained by availability formula.Should be understood that described photovoltaic generating system availability COEFFICIENT K3It is not limited to
This, but can be any practical value.
Overall efficiency COEFFICIENT K includes illumination range of value K4.Illumination range of value K4Commonly using for photovoltaic generating system
Parameter, it determines according to the concrete application of photovoltaic generating system.In the present embodiment, illumination range of value K4It is 0.99.Should
Understand, described photovoltaic generating system availability COEFFICIENT K3It is not limited to this, but can be any practical value.
Overall efficiency COEFFICIENT K includes inverter efficiency COEFFICIENT K5.In prior art, simply take in inverter producer data to
The inverter European efficiency value gone out.But, this efficiency value is European efficiency, has with the solar radiation intensity distributions in Europe
Close, but be not inconsistent with China situation.
The authentication techniques specification CN CA/CTS0004 2009 " 400V that the present invention formulates according to Beijing Jian Heng authentication center
Following grid-connected photovoltaic special inverter technical conditions and test method ", CENELEC's tailor standard EN
50530 " Overall Efficiency ofGrid ConnectedPhotovoltaic linverter ", and combine China ground
The situation at sunshine in district, determines the weight shared by inverter rated input power of different weight percentage.
In the present embodiment, the peak power output at solaode is the 5% of inverter rated input power, 10%,
20%, 30%, 50%, 100% time, inverter static follow the tracks of efficiency or conversion efficiency with represent 1 year there are about X% time
Between the weighted average of coefficient X/100 run under this efficiency of inverter.
When the present embodiment uses the way analog solar inverter operation in a year under field conditions (factors) of efficiency weighting
Effect, it is possible to reflect the efficiency of photovoltaic DC-to-AC converter the most exactly.
Should be understood that described inverter efficiency COEFFICIENT K5It is not limited to this, but can be any practical value.
Overall efficiency COEFFICIENT K includes collecting electric line and booster transformer loss correction COEFFICIENT K6.Collection electric line and liter buckling
Depressor loss correction COEFFICIENT K6For the Common Parameters of photovoltaic generating system, general consideration direct current infringement and A.C.power loss.This enforcement
In example, collection electric line and booster transformer loss correction COEFFICIENT K6Determine according to the concrete application of photovoltaic generating system.Ying Li
Solve, described collection electric line and booster transformer loss correction COEFFICIENT K6It is not limited to this, but can be any practical value.
Overall efficiency COEFFICIENT K includes photovoltaic module surface contamination adjusted coefficient K7.Photovoltaic module surface contamination adjusted coefficient K7
Common Parameters for photovoltaic generating system.In the present embodiment, photovoltaic module surface contamination adjusted coefficient K7According to photovoltaic generation system
That unites specifically applies and determines, its photovoltaic module surface contamination adjusted coefficient K7It is 0.98.Should be understood that described photovoltaic module surface
Pollute adjusted coefficient K7It is not limited to this, but can be any practical value.
Overall efficiency COEFFICIENT K includes assembly temperature adjusted coefficient K8.Output power of photovoltaic module is by assembly surface temperature shadow
Ring, typically utilize NOCT (operating temperature ratings of assembly): Ts=Tc+G*(Tb-20)/800, assembly surface temperature can be calculated,
Thus draw assembly temperature correction factor.
But, the restricted condition of this formula:
1. when wind speed is when 1 ± 0.75m/s is outer, and this formula is the most applicable, needs to consider and TcThe shadow of corresponding moment wind speed
Ring and revise；(foundation: the Crystalline Silicon PV Module design of GB-T 9535-1998 ground is identified and type).
The most only when irradiation intensity >=400W/ time, assembly junction temperature is just directly proportional to irradiation intensity, and inverter is at spoke
According to intensity > 200W/ time just start, need to consider that this part-time affects ratio.
At wind speed in the case of 1+-0.25, illumination 400w/, formula Ts=Tc+G* (Tb-20)/800 is the most applicable；
Deriving through theoretical formula ,-0.3 power of Ts and wind speed V is proportional, but COEFFICIENT K needs to combine variant area wind speed and day
Adjust according to radiant intensity real data.
The present invention collects service data from multiple built photovoltaic plants and combines heat transfer principle, draw temperature t and wind speed-
3/10 this side is directly proportional, and by lineal relevant formula, draws proportionality coefficient, thus solves that wind speed is relatively big, irradiation intensity
The correction of [200,400] W/ assembly surface temperature, obtains computing formula: Ts=Tc+G*(Tb-20)/800+K*w-0.3。
Should be understood that described assembly temperature adjusted coefficient K8It is not limited to this, but can be any practical value.
In step S103, according to described estimation generated energy, adjust the actual power generation of described photovoltaic generating system.
Present invention have the advantage that
(1) according to photovoltaic power generation quantity method of planning of the present invention, to considering according to whole photovoltaic generating system and
Determine overall efficiency COEFFICIENT K, therefore obtain overall efficiency COEFFICIENT K more accurately；
(2) according to photovoltaic power generation quantity method of planning of the present invention, it is proposed that about the correction factor of amorphous silicon module, therefore may be used
To obtain assembly correction factor more accurately；
(3) according to photovoltaic power generation quantity method of planning of the present invention, can be modified with klein formula calculated value, and
Only need to utilize public data, according to the definition of optimum angle of incidence, data with existing be carried out fitting of a polynomial, it is optimal for taking peak of curve
Amount of radiation under inclination angle, the inclination angle that peak value is corresponding is optimum angle of incidence.The method is simple, effectively, with theoretical value technology almost
Cause.Owing to NASA Data Source is measured value, so general theoretical value can be verified or revise；
(4) according to photovoltaic power generation quantity method of planning of the present invention, collect service data from multiple built photovoltaic plants and combine biography
Calorifics principle, show that temperature t is directly proportional to-3/10 this side of wind speed, and by lineal relevant formula, draws proportionality coefficient, from
And solve that wind speed is relatively big, the correction of irradiation intensity [200,400] W/ assembly surface temperature.
The preferred embodiment of the present invention described in detail above.Should be appreciated that those of ordinary skill in the art without
Need creative work just can make many modifications and variations according to the design of the present invention.All technical staff in the art depend on
The design of the present invention is on the basis of existing technology by the available technical side of logical analysis, reasoning, or a limited experiment
Case, all should be in the protection domain being defined in the patent claims.
Claims (4)
1., for a photovoltaic power generation quantity method of planning for photovoltaic generating system, comprise the steps:
A () is according to formula
Obtain the estimation generated energy of described photovoltaic generating system,
Wherein, HAFor the total irradiation of horizontal plane solar energy；
Es is the intensity of sunshine under standard state, equal to 1000W/m2；
PAZInstalled capacity for photovoltaic system；
K is overall efficiency coefficient, and wherein, described overall efficiency coefficient includes:
Component type correction factor；The inclination angle of photovoltaic arrays and azimuth correction factor；Photovoltaic generating system availability coefficient；Light
According to range of value；Inverter efficiency coefficient；Collection electric line and booster transformer loss correction coefficient；Photovoltaic module surface contamination
Correction factor；And photovoltaic module conversion efficiency correction factor；And
B (), according to described estimation generated energy, adjusts the actual power generation of described photovoltaic generating system；
Described inverter efficiency coefficient so determines, i.e. combines the situation at sunshine of CHINESE REGION, determines the inversion of different weight percentage
Weight shared by device rated input power；
Described weight be the peak power output of solaode be the 5% of described inverter rated input power, 10%,
20%, 30%, 50%, 100% time, inverter static follow the tracks of efficiency or conversion efficiency with represent 1 year there are about X% time
Between the weighted average of coefficient X/100 run under this efficiency of inverter.
2. photovoltaic power generation quantity method of planning as claimed in claim 1, it is characterised in that described component type correction factor bag
Include: crystalline silicon correction factor and non-crystalline silicon correction factor.
3. photovoltaic power generation quantity method of planning as claimed in claim 1, it is characterised in that the inclination angle of described photovoltaic arrays and orientation
Angle correction factor is obtained by amount of radiation on optimum angle of incidence and inclined plane.
4. photovoltaic power generation quantity method of planning as claimed in claim 3, it is characterised in that described optimum angle of incidence is, to multiple pre-
Under constant inclination angle, the value of corresponding solar radiation amount carries out fitting of a polynomial, and taking peak of curve is the amount of radiation under optimum angle of incidence, peak
The inclination angle that value is corresponding.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210529753.2A CN103020766B (en) | 2012-12-10 | 2012-12-10 | Photovoltaic power generation quantity method of planning for photovoltaic generating system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210529753.2A CN103020766B (en) | 2012-12-10 | 2012-12-10 | Photovoltaic power generation quantity method of planning for photovoltaic generating system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103020766A CN103020766A (en) | 2013-04-03 |
| CN103020766B true CN103020766B (en) | 2016-09-28 |
Family
ID=47969348
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210529753.2A Active CN103020766B (en) | 2012-12-10 | 2012-12-10 | Photovoltaic power generation quantity method of planning for photovoltaic generating system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103020766B (en) |
Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103279649B (en) * | 2013-05-09 | 2016-07-06 | 国家电网公司 | Optical quantum appraisal procedure is abandoned in photovoltaic base based on Real-Time Optical monitoring resource network |
| CN103942440A (en) * | 2014-04-25 | 2014-07-23 | 云南省电力设计院 | Photovoltaic power station real-time power-generating efficiency calculation method |
| CN104318013B (en) * | 2014-10-21 | 2017-07-21 | 河海大学常州校区 | A kind of optimum angle of incidence computational methods of roof distributed photovoltaic system |
| CN104362621A (en) * | 2014-11-05 | 2015-02-18 | 许继集团有限公司 | Entropy weight method resistance based photovoltaic power station operation characteristic assessment method |
| CN104408537B (en) * | 2014-12-12 | 2018-12-07 | 上海宝钢节能环保技术有限公司 | A kind of photovoltaic plant Optimum Design System |
| CN106326999A (en) * | 2015-06-30 | 2017-01-11 | 天泰管理顾问股份有限公司 | Power generation amount estimation method for solar power plant |
| CN105048934B (en) * | 2015-07-27 | 2017-06-16 | 宁波绿光能源科技有限公司 | A kind of equally loaded off-network photovoltaic optimization method of the smallest investment |
| CN105515042A (en) * | 2015-12-08 | 2016-04-20 | 上海电力设计院有限公司 | Photovoltaic access capacity optimization algorithm of wind-photovoltaic combination farm project |
| CN107204627A (en) * | 2016-03-16 | 2017-09-26 | 中兴通讯股份有限公司 | A kind of inverter system operation method and device and inverter system |
| CN106203709A (en) * | 2016-07-13 | 2016-12-07 | 国网江苏省电力公司电力科学研究院 | Based on polyfactorial photovoltaic plant medium-term and long-term generated energy Forecasting Methodology |
| CN106203711B (en) * | 2016-07-14 | 2020-03-17 | 上海宝钢节能环保技术有限公司 | Method and system for calculating optimal installation inclination angle of photovoltaic power station component |
| CN106649943B (en) * | 2016-09-29 | 2019-08-16 | 中国科学院广州能源研究所 | A kind of evaluation method of building integrated photovoltaic system inclined-plane total radiation |
| CN106407591B (en) * | 2016-09-29 | 2020-03-27 | 天合光能股份有限公司 | Photovoltaic system generated energy simulation system based on intelligent terminal equipment |
| CN108154279B (en) * | 2016-12-02 | 2024-05-10 | 中国电力科学研究院有限公司 | Photovoltaic power station system performance ratio weighting on-line evaluation method and system |
| CN107933356B (en) * | 2017-12-01 | 2020-10-02 | 扬州港信光电科技有限公司 | Power supply system of electric vehicle |
| CN108446811A (en) * | 2018-06-06 | 2018-08-24 | 中国计量大学 | A kind of prediction generated energy computational methods based on photovoltaic power station design |
| CN109447345A (en) * | 2018-09-13 | 2019-03-08 | 国网电力科学研究院(武汉)能效测评有限公司 | A kind of photovoltaic performance prediction method based on weather data analysis |
| CN109991470B (en) * | 2019-02-22 | 2024-05-21 | 中国电力科学研究院有限公司 | Method and system for determining conversion efficiency of string photovoltaic inverter |
| CN111178609A (en) * | 2019-12-23 | 2020-05-19 | 国网河北省电力有限公司 | Regional photovoltaic monthly power generation capacity prediction method based on normalized fitting |
| CN114764262B (en) * | 2021-01-11 | 2023-08-15 | 领鞅科技(杭州)有限公司 | Solar power station power generation power prediction and control method |
| CN115906476B (en) * | 2022-11-18 | 2023-09-01 | 国网湖北省电力有限公司经济技术研究院 | Mountain photovoltaic power generation capacity calculation method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101769788A (en) * | 2009-12-29 | 2010-07-07 | 青海国泰节能技术研究院 | Method for forecasting optical output power and electric energy production of photovoltaic power station |
| CN102111089A (en) * | 2009-12-08 | 2011-06-29 | 索尼公司 | Electric power generation amount estimation device, electric power generation amount estimation system, electric power generation amount estimation method and computer program |
| CN102147839A (en) * | 2011-05-10 | 2011-08-10 | 云南电力试验研究院(集团)有限公司 | Method for forecasting photovoltaic power generation quantity |
| CN102810861A (en) * | 2012-08-23 | 2012-12-05 | 海南汉能光伏有限公司 | Generating capacity prediction method and system for photovoltaic generating system |
-
2012
- 2012-12-10 CN CN201210529753.2A patent/CN103020766B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102111089A (en) * | 2009-12-08 | 2011-06-29 | 索尼公司 | Electric power generation amount estimation device, electric power generation amount estimation system, electric power generation amount estimation method and computer program |
| CN101769788A (en) * | 2009-12-29 | 2010-07-07 | 青海国泰节能技术研究院 | Method for forecasting optical output power and electric energy production of photovoltaic power station |
| CN102147839A (en) * | 2011-05-10 | 2011-08-10 | 云南电力试验研究院(集团)有限公司 | Method for forecasting photovoltaic power generation quantity |
| CN102810861A (en) * | 2012-08-23 | 2012-12-05 | 海南汉能光伏有限公司 | Generating capacity prediction method and system for photovoltaic generating system |
Non-Patent Citations (2)
| Title |
|---|
| "光伏发电站设计规范GB50797-2012";郭家宝等;《中华人民共和国国家标准》;20121031;正文第19,98页 * |
| 分布式电源的概率建模及其对电力系统的影响;王敏;《中国博士学位论文全文数据库（工程科技II辑）》;20120131;正文第49-53页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103020766A (en) | 2013-04-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103020766B (en) | Photovoltaic power generation quantity method of planning for photovoltaic generating system | |
| Ramanan et al. | Performance analysis and energy metrics of grid-connected photovoltaic systems | |
| Rawat et al. | A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system | |
| Yadav et al. | Simulation and performance analysis of a 1kWp photovoltaic system using PVsyst | |
| Li et al. | The performance analysis of the trough concentrating solar photovoltaic/thermal system | |
| Okello et al. | Analysis of measured and simulated performance data of a 3.2 kWp grid-connected PV system in Port Elizabeth, South Africa | |
| CN102522917B (en) | Method for predicting output power of power generation in photovoltaic power station | |
| Asowata et al. | Optimum tilt angles for photovoltaic panels during winter months in the Vaal triangle, South Africa | |
| CN106156455A (en) | A kind of photovoltaic generating system generated energy computational methods based on all the period of time analog integration | |
| Baumgartner | Photovoltaic (PV) balance of system components: Basics, performance | |
| Rajput | Solar energy fundamentals, economic and energy analysis | |
| Asowata et al. | Optimum tilt and orientation angles for photovoltaic panels in the Vaal Triangle | |
| Panda et al. | Demand side management by PV integration to micro-grid power distribution system: A review and case study analysis | |
| Zarkov et al. | Modeling of PV generators from different technologies—case study | |
| CN103337989B (en) | Maximum power output forecasting method based on clearance model for photovoltaic plant | |
| Kumar et al. | Performance analysis of different photovoltaic technologies | |
| CN106505553B (en) | A kind of photovoltaic plant theory power output appraisal procedure based on actual measurement meteorological data | |
| Kazem | Feasibility of photovoltaic systems in Oman | |
| Tan et al. | Techno-economic analysis of rooftop PV system in UTeM Malaysia | |
| López | Design and simulation of a grid-connected PV system for self-consumption | |
| Boivin | Performance and value of geometric solar arrays subject to cyclical electricity prices and high solar penetration | |
| Liu et al. | Study and Design Process of Solar PV System | |
| Hassan et al. | Measurement of current-voltage characteristics, energy yield and the efficiency of the photovoltaic solar cell, as well as its applications in Saudi Arabia | |
| Kollros | Simulation and operational modes of a plug and play storage for photovoltaic power | |
| Prasetyono et al. | Real-Time Irradiance Estimation Based on Maximum Power Current of Photovoltaic |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |