CN103020766A - Photovoltaic power generation planning method for photovoltaic power generation system - Google Patents
Photovoltaic power generation planning method for photovoltaic power generation system Download PDFInfo
- Publication number
- CN103020766A CN103020766A CN2012105297532A CN201210529753A CN103020766A CN 103020766 A CN103020766 A CN 103020766A CN 2012105297532 A CN2012105297532 A CN 2012105297532A CN 201210529753 A CN201210529753 A CN 201210529753A CN 103020766 A CN103020766 A CN 103020766A
- Authority
- CN
- China
- Prior art keywords
- power generation
- photovoltaic
- coefficient
- photovoltaic power
- correction factor
- 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.)
- Granted
Links
Images
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 photovoltaic power generation planning method for a photovoltaic power generation system. The method includes the following steps: (a) obtaining an estimated power generation of the photovoltaic power generation system according to a formula, wherein HA is the amount of a total horizontal solar irradiation, Es is the sunlight intensity under the standard state, PAZ is the installed capacity of the photovoltaic system and K is a combined efficiency coefficient; the combined efficiency coefficient comprises a component type correction coefficient, a photovoltaic array obliquity and azimuth correction coefficient, a photovoltaic power generation system availability coefficient, a sunlight utilization rate coefficient, an inverter efficiency coefficient, a photovoltaic module surface contamination correction coefficient, and a photovoltaic module conversion efficiency correction coefficient; and (b) adjusting the actual power generation of the photovoltaic power generation system according to the estimated power generation. The photovoltaic power generation planning method of the invention takes the whole photovoltaic power generation into overall consideration to determine the combined efficiency coefficient K, so that the obtained combined efficiency coefficient K is more accurate.
Description
Technical field
The present invention relates to photovoltaic generating system, relate in particular to the photovoltaic power generation quantity method of planning for photovoltaic generating system.
Background technology
Solar photovoltaic technology becomes a study hotspot in renewable energy power generation field, the world today.In future, the large-scale grid-connected photovoltaic power generation system of China is with 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 safe, stable, the economic operation of electric system.The average year online generated energy that calculates photovoltaic plant helps the cooperation of dispatching of power netwoks department overall arrangement normal power supplies and photovoltaic generation, in time adjusts operation plan.
But China is also very weak to the research of the average year online generated energy computing method of photovoltaic plant at present, does not almost have to satisfy the method for actual solar energy power generating amount forecast demand.
In the prior art, photo-voltaic power generation station annual electricity volume Ep is calculated as follows:
In the formula: H
ATotal irradiation (the kWh/m of-surface level sun power
2, consistent with meteorological standard observer data);
Intensity of sunshine under Es-standard state equals 1000W/m
2
P
AZ--the installed capacity of photovoltaic system is the summation of solar components standard output power in the photovoltaic system, kWp.
K-is the overall efficiency coefficient.
In the above-mentioned formula, A, H
A, Es, P
AZBe known initial conditions, the overall efficiency COEFFICIENT K then need consider according to whole photovoltaic generating system and determine.Industry differs to the every minute coefficient view that forms the overall efficiency COEFFICIENT K now, even practical precedent is not arranged.
Thus, industry needs a kind of planing method of the photovoltaic power generation quantity that every minute coefficient of overall efficiency COEFFICIENT K determined.
Summary of the invention
Therefore, the present invention aims to provide a kind of planing method 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, comprises the steps: that (a) is according to formula
Obtain the estimation generated energy of described photoelectric generation system,
Wherein, H
ABe the total irradiation of surface level sun power; Es is the intensity of sunshine under the standard state; P
AZ
Installed capacity for photovoltaic system;
K is the overall efficiency coefficient, and described overall efficiency coefficient comprises: the component type correction factor; The inclination angle of photovoltaic arrays and position angle correction factor; Photovoltaic generating system available rate coefficient; The illumination range of value; The inverter efficiency coefficient; Current collection circuit and step-up 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, adjust the actual power generation of described photoelectric generation system.
Among some embodiment, described component type correction factor comprises: crystalline silicon correction factor and amorphous silicon correction factor.
Among some embodiment, the inclination angle of described photovoltaic arrays and position angle correction factor are obtained by radiant quantity on optimum angle of incidence and the dip plane.
Among some embodiment, described optimum angle of incidence is, the value of corresponding solar radiation amount under a plurality of predetermined inclination is carried out fitting of a polynomial, gets peak of curve and be the radiant quantity under the optimum angle of incidence, the inclination angle that peak value is corresponding.
Among some embodiment, described inverter efficiency coefficient is definite like this, namely in conjunction with the situation at sunshine of CHINESE REGION, determines the shared weight of the specified AC power of inverter of different weight percentage.
Among some embodiment, described weight be the peak power output of solar cell be the inverter rated input power 5%, 10%, 20%, 30%, 50%, 100% the time, the static state of inverter is followed the tracks of efficient or conversion efficiency and representative and has approximately in 1 year the weighted mean of the coefficient X/100 that the time inverter of X% moves under this efficient.
Among some embodiment,, described photovoltaic module conversion efficiency correction factor comprises scale-up factor, and described scale-up factor is by calculating, and computing formula assembly surface temperature is directly proportional with-3/10 power of wind speed and determines.
Among some embodiment, the computing formula of described photovoltaic module conversion efficiency correction factor is: T
s=T
c+ G* (T
b-20)/800+K*w
-0.3
The photovoltaic power generation quantity method of planning according to the present invention is determined the overall efficiency COEFFICIENT K to considering according to whole photovoltaic generating system, therefore obtains more accurately overall efficiency COEFFICIENT K.
Below in conjunction with accompanying drawing, by the description of example explanation purport of the present invention, to know other aspects of the present invention and advantage.
Description of drawings
By reference to the accompanying drawings, by detailed description hereinafter, can more clearly understand above-mentioned and other feature and advantage of the present invention, wherein:
Fig. 1 is the process flow diagram according to the method for planning of the embodiment of the invention;
Fig. 2 is the correction of radiant quantity on optimum angle of incidence and the dip plane;
Fig. 3 is the calculation flow chart of overall efficiency COEFFICIENT K;
Fig. 4 is the monthly average radiation of throwing in to the inclined-plane of equator inclination.
Embodiment
Referring to the accompanying drawing of the specific embodiment of the invention, hereinafter the present invention will be described in more detail.Yet the present invention can be with many multi-form realizations, and should not be construed as the restriction of the embodiment that is subjected in this proposition.On the contrary, it is abundant and complete open in order to reach proposing these embodiment, and makes those skilled in the art understand scope of the present invention fully.
Description describes embodiments of the invention in detail.
As shown in Figure 1, at the photovoltaic power generation quantity method of planning that is used for photovoltaic generating system according to the embodiment of the invention, in step S101, according to formula:
Obtain the estimation generated energy of described photoelectric generation system.In the described formula, H
ABe the total irradiation of surface level sun power; Es is the intensity of sunshine under the standard state; P
AZInstalled capacity for photovoltaic system.Above-mentioned parameter is the common parameter of industry, does not repeat them here.
Described K is the overall efficiency coefficient, and in the present embodiment, described overall efficiency coefficient comprises: the component type correction factor; The inclination angle of photovoltaic arrays and position angle correction factor; Photovoltaic generating system available rate coefficient; The illumination range of value; The inverter efficiency coefficient; Current collection circuit and step-up transformer loss correction coefficient; Photovoltaic module surface contamination correction factor; And photovoltaic module conversion efficiency correction factor.
Hereinafter with reference to Fig. 3 in detail the overall efficiency COEFFICIENT K is described in detail.
The overall efficiency COEFFICIENT K comprises the assembly adjusted coefficient K
1, it comprises crystalline silicon correction factor that the crystalline silicon component characteristic is corresponding and the amorphous silicon correction factor corresponding with the amorphous silicon module characteristic.In the present embodiment, the crystalline silicon correction factor is 1.0, and the amorphous silicon correction factor is 1.02.Yet, the invention is not restricted to this design parameter, as long as the assembly adjusted coefficient K
1Consider simultaneously the crystalline silicon correction factor and and the amorphous silicon correction factor gets final product.
The overall efficiency COEFFICIENT K comprises the inclination correction COEFFICIENT K
2Existing calculating photovoltaic module reaches the formula that " solar energy resources appraisal procedure (QXT 89-2008) " provides based on Retscreen mostly in optimum angle of incidence and the calculating of the radiant quantity on this dip plane of locality, wherein retscreen is external software for calculation, " solar energy resources appraisal procedure (QXT 89-2008) " calculates needs the owner that comparatively detailed solar radiation data are provided, and is calculated value.
Inclination correction COEFFICIENT K of the present invention
2Consider radiant quantity on optimum angle of incidence and the dip plane.Shown in 3, can be to revising with klein formula calculated value, and only need utilize public data to calculate.In the present embodiment, described public data is NASA(NASA) can find on the official website each month corresponding solar radiation amount under 5 different angle value.Shown in the described public data chart as shown in Figure 4.In the present embodiment, utilize 0~90 these five data of degree to calculate as public data.
According to the definition of optimum angle of incidence, data with existing is carried out fitting of a polynomial, get peak of curve and be the radiant quantity under the optimum angle of incidence, the inclination angle that peak value is corresponding is optimum angle of incidence.The method is simple, and is effectively, almost consistent with the theoretical value technology.Because the NASA Data Source is measured value, so can verify or revise general theoretical value.
Should be understood that described public data is not limited to this, but can be the value of any available solar radiation amount.
The overall efficiency COEFFICIENT K comprises photovoltaic generating system available rate COEFFICIENT K
3Photovoltaic generating system available rate COEFFICIENT K
3Be the Common Parameters of photovoltaic generating system, generally consider the fault of photovoltaic generating system and maintenance and determine.In the present embodiment, photovoltaic generating system available rate COEFFICIENT K
3Obtain by the available rate formula.Should be understood that described photovoltaic generating system available rate COEFFICIENT K
3Be not limited to this, but can be any practical value.
The overall efficiency COEFFICIENT K comprises illumination range of value K
4Illumination range of value K
4Be the Common Parameters of photovoltaic generating system, it is determined according to the concrete application of photovoltaic generating system.In the present embodiment, illumination range of value K
4Be 0.99.Should be understood that described photovoltaic generating system available rate COEFFICIENT K
3Be not limited to this, but can be any practical value.
The overall efficiency COEFFICIENT K comprises the inverter efficiency COEFFICIENT K
5In the prior art, just get the inverter European efficiency value that provides in the inverter producer data.Yet this efficiency value is European efficiency, and is relevant with the solar radiation intensity distributions in Europe, but is not inconsistent with China situation.
The present invention formulates standard EN 50530 " Overall Efficiency ofGridConnectedPhotovoltaic linverter " specially according to authentication techniques standard CN-CA/CTS0004-2009 " 400V following grid-connected photovoltaic special inverter technical conditions and test method ", the CENELEC that Beijing mirror weighing apparatus authentication center formulates, and in conjunction with the situation at sunshine of CHINESE REGION, determine the shared weight of the specified AC power of inverter of different weight percentage.
In the present embodiment, the peak power output of solar cell be the inverter rated input power 5%, 10%, 20%, 30%, 50%, 100% the time, the static state of inverter is followed the tracks of efficient or conversion efficiency and representative and has approximately in 1 year the weighted mean of the coefficient X/100 that the time inverter of X% moves under this efficient.
The way analog solar inverter of present embodiment employing efficient weighting is the operation timeliness in a year under field conditions (factors), can reflect exactly comparatively veritably the efficient of photovoltaic DC-to-AC converter.
Should be understood that described inverter efficiency COEFFICIENT K
5Be not limited to this, but can be any practical value.
The overall efficiency COEFFICIENT K comprises current collection circuit and step-up transformer loss correction COEFFICIENT K
6Current collection circuit and step-up transformer loss correction COEFFICIENT K
6Be the Common Parameters of photovoltaic generating system, generally consider direct current infringement and A.C.power loss.In the present embodiment, current collection circuit and step-up transformer loss correction COEFFICIENT K
6Determine according to the concrete application of photovoltaic generating system.Should be understood that described current collection circuit and step-up transformer loss correction COEFFICIENT K
6Be not limited to this, but can be any practical value.
The overall efficiency COEFFICIENT K comprises photovoltaic module surface contamination adjusted coefficient K
7Photovoltaic module surface contamination adjusted coefficient K
7Common Parameters for photovoltaic generating system.In the present embodiment, photovoltaic module surface contamination adjusted coefficient K
7Determine its photovoltaic module surface contamination adjusted coefficient K according to the concrete application of photovoltaic generating system
7Be 0.98.Should be understood that described photovoltaic module surface contamination adjusted coefficient K
7Be not limited to this, but can be any practical value.
The overall efficiency COEFFICIENT K comprises the assembly temperature adjusted coefficient K
8Output power of photovoltaic module is subjected to assembly surface temperature effect, general using NOCT (the nominal operation temperature of assembly): T
s=T
c+ G* (T
b-20)/800, can calculate the assembly surface temperature, thereby draw the assembly temperature correction factor.
Yet, the restricted condition of this formula:
1. when wind speed was outside 1 ± 0.75m/s, this formula was no longer applicable, needed to consider and T
cCorresponding constantly wind speed affect correction; (foundation: identify and type with the Crystalline Silicon PV Module design on GB-T 9535-1998 ground).
2. only have when irradiation intensity=during 400W/ ㎡, the assembly junction temperature just is directly proportional with irradiation intensity, and inverter is at irradiation intensity〉just start during 200W/ ㎡, need to consider the ratio that affects of this part time.
In the situation of 1+-0.25, illumination 400w/ ㎡, formula Ts=Tc+G* (Tb-20)/800 is no longer applicable at wind speed; Derive through theoretical formula ,-0.3 power of Ts and wind speed V is proportional, but COEFFICIENT K need to adjust in conjunction with variant regional wind speed and solar radiation intensity real data.
The present invention collects service data in conjunction with heat transfer principle from a plurality of built photovoltaic plants, drawing temperature t is directly proportional with-3/10 this side of wind speed, and pass through lineal relevant formula, draw scale-up factor, wind speed is large, irradiation intensity [200 thereby solved, 400] correction of W/ ㎡ assembly surface temperature obtains computing formula: T
s=T
c+ G* (T
b-20)/800+K*w
-0.3
Should be understood that described assembly temperature adjusted coefficient K
8Be not limited to this, but can be any practical value.
Among the step S103, according to described estimation generated energy, adjust the actual power generation of described photoelectric generation system.
The present invention has following advantage:
(1) the photovoltaic power generation quantity method of planning according to the present invention is determined the overall efficiency COEFFICIENT K to considering according to whole photovoltaic generating system, therefore obtains more accurately overall efficiency COEFFICIENT K;
(2) the photovoltaic power generation quantity method of planning according to the present invention has proposed the correction factor about amorphous silicon module, therefore can obtain more accurately assembly correction factor;
(3) the photovoltaic power generation quantity method of planning according to the present invention, can be to revising with klein formula calculated value, and only need utilize public data, definition according to optimum angle of incidence, data with existing is carried out fitting of a polynomial, get peak of curve and be the radiant quantity under the optimum angle of incidence, the inclination angle that peak value is corresponding is optimum angle of incidence.The method is simple, and is effectively, almost consistent with the theoretical value technology.Because the NASA Data Source is measured value, so can verify or revise general theoretical value;
(4) the photovoltaic power generation quantity method of planning according to the present invention, collect service data in conjunction with heat transfer principle from a plurality of built photovoltaic plants, drawing temperature t is directly proportional with-3/10 this side of wind speed, and pass through lineal relevant formula, draw scale-up factor, wind speed is large, the correction of irradiation intensity [200,400] W/ ㎡ assembly surface temperature thereby solved.
More than describe preferred embodiment of the present invention in detail.Should be appreciated that those of ordinary skill in the art need not creative work and just can design according to the present invention make many modifications and variations.All in the art technician all should be in the determined protection domain by claims under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (8)
1. a photovoltaic power generation quantity method of planning that is used for photovoltaic generating system comprises the steps:
(a) according to formula
Obtain the estimation generated energy of described photoelectric generation system,
Wherein, H
ABe the total irradiation of surface level sun power;
Es is the intensity of sunshine under the standard state;
P
AZInstalled capacity for photovoltaic system;
K is the overall efficiency coefficient, and wherein, described overall efficiency coefficient comprises:
The component type correction factor; The inclination angle of photovoltaic arrays and position angle correction factor; Photovoltaic generating system available rate coefficient; The illumination range of value; The inverter efficiency coefficient; Current collection circuit and step-up 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, adjust the actual power generation of described photoelectric generation system.
2. photovoltaic power generation quantity method of planning as claimed in claim 1 is characterized in that, described component type correction factor comprises: crystalline silicon correction factor and amorphous silicon correction factor.
3. photovoltaic power generation quantity method of planning as claimed in claim 1 is characterized in that, the inclination angle of described photovoltaic arrays and position angle correction factor are obtained by radiant quantity on optimum angle of incidence and the dip plane.
4. photovoltaic power generation quantity method of planning as claimed in claim 3, it is characterized in that described optimum angle of incidence is that the value of corresponding solar radiation amount under a plurality of predetermined inclination is carried out fitting of a polynomial, get peak of curve and be the radiant quantity under the optimum angle of incidence, the inclination angle that peak value is corresponding.
5. photovoltaic power generation quantity method of planning as claimed in claim 1 is characterized in that, described inverter efficiency coefficient is definite like this, namely in conjunction with the situation at sunshine of CHINESE REGION, determines the shared weight of the specified AC power of inverter of different weight percentage.
6. photovoltaic power generation quantity method of planning as claimed in claim 4, it is characterized in that, described weight be the peak power output of solar cell be the inverter rated input power 5%, 10%, 20%, 30%, 50%, 100% the time, the static state of inverter is followed the tracks of efficient or conversion efficiency and representative and has approximately in 1 year the weighted mean of the coefficient X/100 that the time inverter of X% moves under this efficient.
7. photovoltaic power generation quantity method of planning as claimed in claim 1, it is characterized in that, described photovoltaic module conversion efficiency correction factor comprises scale-up factor, and described scale-up factor is by calculating, and computing formula assembly surface temperature is directly proportional with-3/10 power of wind speed and determines.
8. photovoltaic power generation quantity method of planning as claimed in claim 6 is characterized in that, the computing formula of described photovoltaic module conversion efficiency correction factor is: T
s=T
c+ G* (T
b-20)/800+K*w
-0.3
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 true CN103020766A (en) | 2013-04-03 |
CN103020766B 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) |
Cited By (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103279649A (en) * | 2013-05-09 | 2013-09-04 | 国家电网公司 | Photovoltaic base discard light electric quantity evaluation method based on real-time light resource monitoring 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 |
CN104318013A (en) * | 2014-10-21 | 2015-01-28 | 河海大学常州校区 | Method for computing optimal inclination angles of distributed photovoltaic systems of roofs |
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 |
CN104408537A (en) * | 2014-12-12 | 2015-03-11 | 上海宝钢节能环保技术有限公司 | Optimization design system for photovoltaic power station |
CN105048934A (en) * | 2015-07-27 | 2015-11-11 | 宁波绿光能源科技有限公司 | Balanced load off-grid photovoltaic optimization method with 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 |
CN106203711A (en) * | 2016-07-14 | 2016-12-07 | 上海宝钢节能环保技术有限公司 | A kind of photovoltaic power station component installs computational methods and the system of optimum angle of incidence |
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 |
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 |
CN106407591A (en) * | 2016-09-29 | 2017-02-15 | 常州天合光能有限公司 | Intelligent terminal equipment-based electric energy production simulation APP for photovoltaic system |
CN106649943A (en) * | 2016-09-29 | 2017-05-10 | 中国科学院广州能源研究所 | Method for estimating total radiation of slope in building integrated photovoltaic system |
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 |
CN107933356A (en) * | 2017-12-01 | 2018-04-20 | 尹希月 | A kind of electric car electric power system |
CN108154279A (en) * | 2016-12-02 | 2018-06-12 | 中国电力科学研究院 | A kind of photovoltaic power station system performance ratio weights online evaluation method and system |
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 |
CN109991470A (en) * | 2019-02-22 | 2019-07-09 | 中国电力科学研究院有限公司 | A kind of determination method and system of string type photovoltaic DC-to-AC converter transfer efficiency |
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 |
CN114764262A (en) * | 2021-01-11 | 2022-07-19 | 领鞅科技(杭州)有限公司 | Method for predicting and controlling power generation power of solar power station |
CN115906476A (en) * | 2022-11-18 | 2023-04-04 | 国网湖北省电力有限公司经济技术研究院 | Mountain land 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 (3)
Title |
---|
王敏: "分布式电源的概率建模及其对电力系统的影响", 《中国博士学位论文全文数据库(工程科技II辑)》 * |
郭家宝等: ""光伏发电站设计规范GB50797-2012"", 《中华人民共和国国家标准》 * |
郭家宝等: ""光伏发电站设计规范GB50797-2012"", 《中华人民共和国国家标准》, 31 October 2012 (2012-10-31), pages 16 - 101 * |
Cited By (30)
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 |
CN103279649A (en) * | 2013-05-09 | 2013-09-04 | 国家电网公司 | Photovoltaic base discard light electric quantity evaluation method based on real-time light resource monitoring 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 |
CN104318013A (en) * | 2014-10-21 | 2015-01-28 | 河海大学常州校区 | Method for computing optimal inclination angles of distributed photovoltaic systems of roofs |
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 |
CN104408537A (en) * | 2014-12-12 | 2015-03-11 | 上海宝钢节能环保技术有限公司 | Optimization design system for photovoltaic power station |
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 |
CN105048934A (en) * | 2015-07-27 | 2015-11-11 | 宁波绿光能源科技有限公司 | Balanced load off-grid photovoltaic optimization method with smallest investment |
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 |
CN106203711A (en) * | 2016-07-14 | 2016-12-07 | 上海宝钢节能环保技术有限公司 | A kind of photovoltaic power station component installs computational methods and the system of optimum angle of incidence |
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 |
CN106407591A (en) * | 2016-09-29 | 2017-02-15 | 常州天合光能有限公司 | Intelligent terminal equipment-based electric energy production simulation APP for photovoltaic system |
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 |
CN106649943A (en) * | 2016-09-29 | 2017-05-10 | 中国科学院广州能源研究所 | Method for estimating total radiation of slope in building integrated photovoltaic system |
CN108154279A (en) * | 2016-12-02 | 2018-06-12 | 中国电力科学研究院 | A kind of photovoltaic power station system performance ratio weights online evaluation method and system |
CN107933356A (en) * | 2017-12-01 | 2018-04-20 | 尹希月 | A kind of electric car electric power 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 |
CN109991470A (en) * | 2019-02-22 | 2019-07-09 | 中国电力科学研究院有限公司 | A kind of determination method and system of string type photovoltaic DC-to-AC converter transfer efficiency |
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 |
CN114764262A (en) * | 2021-01-11 | 2022-07-19 | 领鞅科技(杭州)有限公司 | Method for predicting and controlling power generation power of solar power station |
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 |
CN115906476A (en) * | 2022-11-18 | 2023-04-04 | 国网湖北省电力有限公司经济技术研究院 | Mountain land photovoltaic power generation capacity calculation 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 |
Also Published As
Publication number | Publication date |
---|---|
CN103020766B (en) | 2016-09-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103020766A (en) | Photovoltaic power generation planning method for photovoltaic power generation system | |
Yadav et al. | Simulation and performance analysis of a 1kWp photovoltaic system using PVsyst | |
Okello et al. | Analysis of measured and simulated performance data of a 3.2 kWp grid-connected PV system in Port Elizabeth, South Africa | |
Abdelkader et al. | A comparative Analysis of the Performance of Monocrystalline and Multiycrystalline PV Cells in Semi Arid Climate Conditions: the Case of Jordan. | |
Pathak et al. | Effects on amorphous silicon photovoltaic performance from high-temperature annealing pulses in photovoltaic thermal hybrid devices | |
Dobaria et al. | Analytical assessment of 5.05 kWp grid tied photovoltaic plant performance on the system level in a composite climate of western India | |
Fernandes et al. | Cell string layout in solar photovoltaic collectors | |
CN102522917A (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 | |
Baumgartner | Photovoltaic (PV) balance of system components: Basics, performance | |
Benda | Photovoltaics, including new technologies (Thin film) and a discussion on module efficiency | |
Zarkov et al. | Modeling of PV generators from different technologies—case study | |
Abdulridha et al. | Study of the Partial Shading Effect on the Performance of Silicon PV Panels String | |
Lee | Optimal design of solar photovoltaic systems | |
Acar et al. | Investigation of energy generation at test system designed by use of concentrated photo-voltaic panel and thermoelectric modules | |
Karami et al. | Analysis of measured and simulated performance data of different PV modules of silicon in Casablanca | |
CN106505553A (en) | A kind of photovoltaic plant theory based on actual measurement meteorological data is exerted oneself appraisal procedure | |
López | Design and simulation of a grid-connected PV system for self-consumption | |
Dubey et al. | Effect of temperature variations over photovoltaic modules efficiency of different technologies at NOCT | |
Liu et al. | Study and Design Process of Solar PV System | |
Castro et al. | Solar Power | |
Wani et al. | PV System Installation Design and Energy Production Analysis for Bangabandhu Bridge | |
Zhang et al. | Analysis of output characteristics of photovoltaic system | |
Sitepu et al. | Performance analyse of solar rooftop at Medan city in Indonesia | |
ÇINAROĞLU et al. | PERFORMANCE ANALYSIS of DIFFERENT SOLAR TRACKING SYSTEMS for OFF-GRID PHOTOVOLTAIC POWER SYSTEM in BİLECİK, TURKEY USING PVSYST SOFTWARE |
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 |