CN109767041A - A kind of acquisition methods and device of photovoltaic plant group string effective temperature - Google Patents

A kind of acquisition methods and device of photovoltaic plant group string effective temperature Download PDF

Info

Publication number
CN109767041A
CN109767041A CN201910035454.5A CN201910035454A CN109767041A CN 109767041 A CN109767041 A CN 109767041A CN 201910035454 A CN201910035454 A CN 201910035454A CN 109767041 A CN109767041 A CN 109767041A
Authority
CN
China
Prior art keywords
string
temperature
power
effective
group
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
Application number
CN201910035454.5A
Other languages
Chinese (zh)
Other versions
CN109767041B (en
Inventor
胡琼
翁捷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sungrow Power Supply Co Ltd
Original Assignee
Sungrow Power Supply Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Sungrow Power Supply Co Ltd filed Critical Sungrow Power Supply Co Ltd
Priority to CN201910035454.5A priority Critical patent/CN109767041B/en
Publication of CN109767041A publication Critical patent/CN109767041A/en
Application granted granted Critical
Publication of CN109767041B publication Critical patent/CN109767041B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems 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 component effective temperature value on each date is calculated first according to the power station historical data for meeting the first preset condition in the acquisition methods and device of photovoltaic plant group string effective temperature provided by the invention;Then to meet power station historical data corresponding to the component effective temperature value of the second preset condition, it is calculated according to least square method, the effective power temperature coefficient of each group of string is obtained, namely the relationship between group string generated output and group string temperature is derived by according to historical data;Finally calculated according to the current power measured value of effective power temperature coefficient and respective sets string and irradiation measured value, obtain the effective temperature of respective sets string, and then each group of string is back-calculated to obtain in effective temperature in actual work according to current data, the power generation prediction that photovoltaic plant is carried out with the effective temperature of each group of string is able to solve and carries out the low problem of precision of prediction caused by photovoltaic power generation prediction in the prior art with single-point or monolithic module temperature.

Description

A kind of acquisition methods and device of photovoltaic plant group string effective temperature
Technical field
The present invention relates to photovoltaic plant technical field of temperature measurement, in particular to a kind of photovoltaic plant group string effective temperature Acquisition methods and device.
Background technique
Photovoltaic power generation realizes booming, a large amount of photovoltaic plant access power grid within past more than ten year, right The safety of Operation of Electric Systems and stability also bring detrimental effect, and improving photovoltaic power generation forecasting accuracy is to weaken light The effective way that volt access adversely affects power grid.And one of photovoltaic power generation major influence factors are exactly temperature, how effectively Obtaining the accurate temperature parameter of photovoltaic plant is particularly important.
The current scheme for obtaining photovoltaic plant temperature parameter, the usually temperature of acquisition single-point or monolithic module;However light Each component of overhead utility is in a more complicated environment in actual motion, the position of every component, direction, branch Frame height, itself decaying, faults itself etc. can all cause its cell piece temperature different occur;And in practical photovoltaic plant In, and be difficult to obtain the electrical parameter data per a piece of component, therefore power generation prediction can not be done for every a piece of component.
So the even entire electricity of a group string in power station can not be represented in the component temperature that single-point or single sheet measurement obtain In the case where the average cell temperature stood, the low problem of precision of prediction will lead to the power generation prediction that it carries out entire photovoltaic plant It generates.
Summary of the invention
The present invention provides the acquisition methods and device of a kind of photovoltaic plant group string effective temperature, with solve in the prior art with Single-point or monolithic module temperature carry out the low problem of precision of prediction caused by photovoltaic power generation prediction.
To achieve the above object, technical solution provided by the present application is as follows:
A kind of acquisition methods of photovoltaic plant group string effective temperature, comprising:
According to the power station historical data for meeting the first preset condition, the component effective temperature value on each date is calculated;
To meet power station historical data corresponding to the component effective temperature value of the second preset condition, according to minimum two Multiplication is calculated, and the effective power temperature coefficient of each group of string is obtained;
It is carried out according to the current power measured value of the effective power temperature coefficient and respective sets string and irradiation measured value It calculates, obtains the effective temperature of respective sets string.
Preferably, according to the power station historical data for meeting the first preset condition, the component that each date is calculated is effective Temperature value, used formula are as follows:
Wherein, T is component effective temperature value, G0For the irradiation 1000w/m under the conditions of STC2,GmFor the power station history number According to the irradiation measured value of middle group of string, TEnvironmentFor the measured value of environment temperature in the power station historical data, a, b, Δ T be respectively with Corresponding three constants of power station component installation situation.
Preferably, after the component effective temperature value on each date is calculated, further includes:
It is calculated in each component effective temperature value and the power station historical data and corresponds to date respective sets string hair Correlation between electrical power;Second preset condition is that the correlation meets degree of correlation requirement.
Preferably, the degree of correlation requirement are as follows: correspond to day in the component effective temperature value and the power station historical data Partial correlation coefficient between phase respective sets string generated output is negative value, and the absolute value of the partial correlation coefficient is more than or equal to default Threshold value.
Preferably, it is calculated according to least square method, obtains the effective power temperature coefficient of each group of string, comprising:
Using formulaEffective absolute power temperature coefficient δ of respective sets string is calculatedP';Wherein, RPT(G)It is inclined between date respective sets string generated output to be corresponded in the component effective temperature value and the power station historical data Related coefficient, σPTo meet in power station historical data corresponding to the component effective temperature value of second preset condition Group string generated output standard deviation, σTFor meet second preset condition the component effective temperature value standard deviation;
Using formulaEffective relative power temperature coefficient δ of respective sets string is calculatedP, as respective sets string Effective power temperature coefficient;Wherein, P0For the maximum power of respective sets string under the conditions of STC.
Preferably, it is surveyed according to the current power measured value of the effective power temperature coefficient and respective sets string and irradiation Value is calculated, and the effective temperature of respective sets string, used formula are obtained are as follows:
Wherein, T is the effective temperature of group string, PmFor group current power measured value of string, PcorrFor power measured value is corrected Performance number under the conditions of to STC, G0For the irradiation 1000w/m under the conditions of STC2,GmFor group current irradiation measured value of string, δPFor The effective power temperature coefficient of group string, T0For 25 DEG C of temperature under the conditions of STC.
Preferably, it is surveyed according to the current power measured value of the effective power temperature coefficient and respective sets string and irradiation Value is calculated, and the effective temperature of respective sets string, used formula are obtained are as follows:
Wherein, T is the effective temperature of group string, PmFor group current power measured value of string, PcorrFor power measured value is corrected Performance number under the conditions of to STC, G0For the irradiation 1000w/m under the conditions of STC2,GmFor group current irradiation measured value of string, δPFor The effective power temperature coefficient of group string, T0For 25 DEG C of temperature under the conditions of STC, X is irradiation threshold value.
Preferably, according to the power station historical data for meeting the first preset condition, the component that each date is calculated has Before effect temperature value, further includes:
The power station historical data on securing component surface clean date;
In the power station historical data on assembly surface clean date, rejecting abnormalities fluctuate data, and acquisition meets described first The power station historical data of preset condition.
Preferably, the assembly surface clean date are as follows: the date after component cleaning or strong rainstorms;
The unusual fluctuations data include: because of shadow occlusion or component faults caused by abnormal data.
A kind of acquisition device of photovoltaic plant group string effective temperature, for executing the photovoltaic plant group as described in any of the above-described The acquisition methods of string effective temperature.
The acquisition methods of photovoltaic plant group string effective temperature provided by the invention, first according to the first preset condition of satisfaction The component effective temperature value on each date is calculated in power station historical data;Then have with the component for meeting the second preset condition Power station historical data corresponding to temperature value is imitated, is calculated according to least square method, obtains the effective power temperature of each group of string Coefficient is spent, namely the relationship between group string generated output and group string temperature is derived by according to historical data;Last basis is effectively Temperature power coefficient and the current power measured value of respective sets string and irradiation measured value are calculated, and having for respective sets string is obtained It imitates temperature, and then each group of string has been back-calculated to obtain in effective temperature in actual work according to current data, with each group of string Effective temperature carries out the power generation prediction of photovoltaic plant, is able to solve and carries out photovoltaic in the prior art with single-point or monolithic module temperature The low problem of precision of prediction caused by power generation prediction.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly or in the prior art to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, it is only this that interior attached drawing, which is described below, Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 to Fig. 3 is the acquisition methods for the photovoltaic plant group string effective temperature that the present patent application embodiment provides respectively Three kinds of flow charts;
Fig. 4 be the present patent application embodiment provide certain photovoltaic plant power correction value and actual value error rate with The scatter plot of irradiation;
Fig. 5 is the power correction value and actual value of photovoltaic plant after the correction formula that the present patent application embodiment provides is improved Error rate and irradiation scatter plot.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall in the protection scope of this application.
The present invention provides a kind of acquisition methods of photovoltaic plant group string effective temperature, with solve in the prior art with single-point or Monolithic module temperature carries out the low problem of precision of prediction caused by photovoltaic power generation prediction.
Referring to Figure 1, the acquisition methods of the photovoltaic plant group string effective temperature include:
S101, according to the power station historical data for meeting the first preset condition, the component that each date is calculated is effectively warm Angle value;
First preset condition is primarily to the component effective temperature value on each date for ensuring to be calculated is available , because the historical data on photovoltaic plant whole date might not be the data that each group of string measures under normal circumstances, Such as situations such as assembly surface dust stratification is serious, there are shadow occlusion or component faults, it will lead to detection data and deviate normally Situation, and the component effective temperature value being calculated in this case also will necessarily and true temperature there are biggish deviation, institutes With the power station historical data that only selection meets first preset condition herein carries out the calculating of component effective temperature value, to ensure The accuracy of calculating.
S102, with meet the second preset condition component effective temperature value corresponding to power station historical data, according to minimum Square law is calculated, and the effective power temperature coefficient of each group of string is obtained;
Wherein, which refers to the coefficient of relationship between group string generated output and group string temperature;Non- The date of steady weather, it is possible that the poor situation of correlation between group string temperature and electrical parameter, leads to the group on the date Coefficient of relationship between string generated output and group string temperature does not have reference significance, it is possible to weed out each item number on the date According to only selection meets the progress effective power temperature coefficient of power station historical data corresponding to the component effective temperature value of corresponding conditions Calculating;Therefore, it is the coefficient of relationship considered between group string generated output and group string temperature that second preset condition, which can be set, Whether the condition of reference significance is had, for example rainfall number is zero or radiation stabilized, wind speed are stablized etc., or can also be with It is that the threshold requirement of above-mentioned relation coefficient is not specifically limited herein, depending on its application environment.
When calculating effective power temperature coefficient, the effective exhausted of group string can be gone out first with the derivation of equation of least square method To temperature power coefficient, to calculate a group effective relative power temperature coefficient for string again.The entire group string being calculated at this time Effective power temperature coefficient, the calculating being used not only in step S103 is also used as measurement group string working condition A kind of reference.
S103, it is carried out according to the current power measured value of effective power temperature coefficient and respective sets string and irradiation measured value It calculates, obtains the effective temperature of respective sets string.
It has been derived by between group string generated output and group string temperature according to historical data by step S101 and S102 Relationship, then each group of string can be back-calculated to obtain in actual work according to the relationship and current data by step S103 Effective temperature;The power generation prediction for carrying out photovoltaic plant with the effective temperature of each group of string again, can be solved in the prior art with Single-point or monolithic module temperature carry out the low problem of precision of prediction caused by photovoltaic power generation prediction.
It is worth noting that there is also a kind of component temperature numerical procedures in the prior art, environment temperature is mainly utilized The data such as degree, irradiation, wind speed, the physical characteristic of coupling unit itself calculate a generation using the parameter substitution of physical model The component temperature of table.However many large-sized photovoltaic power stations occupied area in practical application is wide, landform also has no small difference, Photovoltaic plant especially in mountain area, therefore the environment temperature in a photovoltaic plant, wind speed, even irradiation level have been likely to Greatest differences characterize the average cell temperature in entire power station, accuracy only by the component temperature that environmental parameter calculates It is relatively low.
And the acquisition methods of the photovoltaic plant group string effective temperature provided in this embodiment, it is derived by according to historical data Relationship between group string generated output and group string temperature, is back-calculated to obtain each group of string in reality further according to the relationship and current data Effective temperature when border works, and then the power generation prediction of photovoltaic plant can be carried out with the effective temperature of each group of string, it solves It is above-mentioned that accuracy low problem when power generation is predicted is carried out by representative modul temperature.
In addition, the acquisition methods of the photovoltaic plant group string effective temperature provided in this embodiment, can not only estimate photovoltaic The effective temperature of string is individually organized in power station, and the respective effective temperature that can also go here and there simultaneously to the different groups of entire photovoltaic plant is estimated Meter.Also, the technical solution in the present embodiment uses the operation data of practical photovoltaic plant, the experiment complicated without other Condition limitation, therefore operability is stronger.
Another embodiment of the present invention additionally provides a kind of acquisition methods of specific photovoltaic plant group string effective temperature, upper On the basis for stating embodiment and Fig. 1, it is preferred that according to the power station history number for meeting the first preset condition in its step S101 According to being calculated the component effective temperature value on each date, used formula is the laboratory Sandia in " photovoltaic Array performance model " formula of use environment parameter computation component temperature mentioned in report:
Wherein, T is component effective temperature value, G0For STC condition (irradiation 1000w/m2, 25 DEG C of component temperature, AM=1.5) Under irradiation 1000w/m2,GmFor the irradiation measured value for organizing string in the historical data of power station, TEnvironmentFor environment temperature in the historical data of power station The measured value of degree, a, b, Δ T are respectively three constants corresponding with power station component installation situation.
Because the component effective temperature value is the power station component temperature derived by environment parameter, directly with the group Part effective temperature value replaces the active element temperature of group string or entire power station, in the more complicated power station of topography and some non- In the date of steady weather (such as overcast and rainy, cloudy irradiation variation is more violent), it may appear that large error, if the component is effective Temperature value predicts that caused prediction deviation can be very big for photovoltaic power generation.Therefore, more preferably, as shown in Fig. 2, in step After rapid S101, further includes:
S201, be calculated in various components effective temperature value and power station historical data correspond to date respective sets string power generation function Correlation between rate;
Corresponding, the second preset condition in step S102 is to correspond to day in component effective temperature value and power station historical data Correlation between phase respective sets string generated output meets degree of correlation requirement.
And degree of correlation requirement specifically: date respective sets string hair is corresponded in component effective temperature value and power station historical data Partial correlation coefficient between electrical power is negative value, and the absolute value of partial correlation coefficient is more than or equal to preset threshold, such as 0.8.
Since the major influence factors of component temperature and generated output are all irradiation, in computation module effective temperature value When corresponding to the correlation between date respective sets string generated output with the historical data of power station, need to irradiate as control change It measures, the partial correlation system between date respective sets string generated output is corresponded in computation module effective temperature value and power station historical data Number, the index can measure the reality that date respective sets string generated output is corresponded in component effective temperature value and power station historical data Correlative relationship.According to the definition of correlation, related coefficient absolute value has strong correlation between 0.8 or more, two variable, Therefore, the inclined phase corresponded between date respective sets string generated output in component effective temperature value and power station historical data is screened here Relationship number is less than 0 and absolute value is greater than 0.8 or more date, i.e. component effective temperature value and corresponding date respective sets string power generation function Rate has the date of obvious linear relationship, with the irradiation on these dates, each group of string generated output and is calculated Component effective temperature value, the input data of the effective power temperature coefficient as later period calculating group string.
Preferably, it is calculated in step S102 according to least square method, obtains the effective power temperature system of each group of string Number, comprising: according to the data on the date for screening obtained the second preset condition of satisfaction, in conjunction with these date inner assembly effective temperatures The partial correlation coefficient of value and respective sets string generated output goes out effective absolute power of group string using the derivation of equation of least square method Temperature coefficient, to calculate a group effective relative power temperature coefficient for string again.
It was demonstrated that the curve of both temperature and open-circuit voltage is the straight line that a slope is negative value, temperature in engineering practice Curve with both short circuit currents is the straight line that a slope is slightly negative value, and the rising of temperature, the decline of open-circuit voltage Amplitude is much larger than the amplitude that short circuit current rises, therefore influence of the temperature to power is a kind of linear function that slope is negative value Relationship, the linear regression using least-squares estimation foundation group string generated output as dependent variable, component temperature as independent variable When model, slope is component absolute temperature coefficient.
But because acquisition is the group string generated output of actual motion under any illumination, and sends out in practical photovoltaic plant Electrical power P is influenced by irradiation G and temperature T simultaneously, and temperature T is influenced by irradiation G simultaneously again, it may be assumed that P=f (G, T), Middle T=f'(G), f and f' respectively indicate corresponding mapping relations;Therefore component temperature can not directly be established to the line of generated output The slope of property regression model obtains component absolute temperature coefficient.
It uses for reference in statistics, linear regression is calculated by the related coefficient and respective standard deviation of dependent variable and independent variable The mode of the slope of model, the present embodiment is also by the mode computation module temperature that mathematical formulae derives to the linear of generated output Regression slope
If component temperature is as independent variable x, in known tip assemblies effective temperature using group generated output of string as dependent variable y The partial correlation coefficient R of value and respective sets string generated outputPT(G), meet the second preset condition component effective temperature value corresponding to Group string generated output standard deviation sigma in the historical data of power stationP, meet the second preset condition component effective temperature value standard deviation sigmaT Under conditions of, component effective temperature value can be acquired by way of above-mentioned mathematical formulae derivation to the line of respective sets string generated output The slope of property regression model, as effective absolute power temperature coefficient of the group string
Group effective absolute power temperature coefficient of string is arrived divided by the maximum power of group string under the conditions of STC should Effective relative power temperature coefficient of group string, what this coefficient represented is that an entire group goes here and there the effective power temperature systems of multiple components Number, used formula are as follows:Then with effective relative power temperature coefficient δPEffective power as respective sets string Rate temperature coefficient;Wherein, P0For the maximum power of respective sets string under the conditions of STC.
The actual operating data of certain photovoltaic plant is selected, below with the calculating of the effective power temperature coefficient of its a certain group of string It is illustrated for process:
Table 1 is the irradiation of photovoltaic plant one group string one day (14 components, nominal power 235W) actual measurement, environment temperature Degree, wind speed and generated output data.
1 group of string measured data of table
Generated output Irradiation Wind speed Environment temperature
2390.5 797.4 1.8 26.9
2405.5 801.5 2.1 26.9
2406.2 801.1 1.4 26.9
2418.1 808.5 1.7 26.9
2450.8 818.6 1.8 26.9
2429.9 811.5 1.4 26.9
2429.6 811.8 1.2 26.9
2462.3 825.2 1.0 26.9
…… …… …… ……
Firstly, can derive a group by the empirical equation in the laboratory Sandia according to irradiation, wind speed and environment temperature Part effective temperature value, is shown in Table 2.
2 groups of string measured datas of table and the component effective temperature value being calculated
Then, the daily partial correlation coefficient of computation module effective temperature value and generated output, screening partial correlation coefficient are negative Value and absolute value are not less than for 0.8 date.Such as from the nearly three months data in practical power station, collected data, wherein having 20 Data be to belong to group string in more clean and without catastrophe failure date, by component effective temperature value and generated output Partial correlation coefficient further screened, select the date that can be used for calculating group string effective power temperature coefficient on the 10th.
Furthermore the partial correlation coefficient R of the generated output in conjunction with the date filtered out and component effective temperature valuePT(G)=- 0.8965, and the standard deviation sigma of each group of string generated output on the date filtered out being calculatedP=40.53 and each group The standard deviation sigma of part effective temperature valueT=2.36, computation module effective temperature value is b to a group influence slope for string generated outputP=- 15.37, i.e. effective absolute power temperature coefficient δ of the group stringP'=- 15.37;By the effective absolute of the group string (14 components) Temperature power coefficient δP' divided by the maximum power under the conditions of STC obtain group the effective temperature power coefficient δ of stringP=-15.37/ (14*235)=- 0.00468, the temperature power coefficient of the monolithic module calibration slightly below where the group string, illustrates to use monolithic The temperature power coefficient of component cannot represent the effective power temperature coefficient of entire group string.
The present embodiment on the basis of above-described embodiment, proposes a kind of partial correlation using temperature and power to sieve The method close to the data of experiment condition is selected, the effective power temperature coefficient for the group string being calculated can be made more accurate.
Remaining step and principle are same as the previously described embodiments, no longer repeat one by one herein.
It is worth noting that on the basis of above-described embodiment, the acquisition methods of the photovoltaic plant group string effective temperature, It (is shown on the basis of Fig. 2) as shown in Figure 3, before step S101, can also include:
S301, the power station historical data on securing component surface clean date.
Preferably, the assembly surface clean date are as follows: the date after component cleaning or strong rainstorms;And then can eliminate due to Influence of the power station dust accumulation to temperature computation.
S302, in the power station historical data on assembly surface clean date, rejecting abnormalities fluctuate data, obtain meet first The power station historical data of preset condition.
Preferably, abnormal data caused by which includes: because of shadow occlusion or component faults;It weeds out The interference data for causing unusual fluctuations are stated, data can be cleaned, realization screens out.
Work is screened out by above-mentioned data twice, is made in the case where not needing additional experiments device or experiment condition, energy Enough merely with the data such as the actual motion electrical parameter data of photovoltaic plant and irradiation, environment temperature, wind speed, pass through mathematical formulae It calculates and derives, obtain the effective power temperature coefficient of accurate power station group string.
Another embodiment of the present invention additionally provides the acquisition methods of another specific photovoltaic plant group string effective temperature, On the basis of above-described embodiment, the specific optional way of step S103 a kind of is given, that is, utilizes photovoltaic power station power generation function Rate is adapted to the effective power temperature coefficient of formula (abbreviation power correction formula) and known group of string under the conditions of STC, counter to push away The effective temperature of string, used formula are organized out are as follows:
Wherein, T is the effective temperature of group string, PmFor group current power measured value of string, PcorrFor power measured value is corrected Performance number under the conditions of to STC, G0For the irradiation 1000w/m under the conditions of STC2,GmFor group current irradiation measured value of string, δPFor The effective power temperature coefficient of group string, T0For 25 DEG C of temperature under the conditions of STC.
Applicant it has been investigated that, the irradiation range that theoretically the power correction formula adapts to is constant, but practical electricity It stands because of the reasons such as environmental difference, geographical location, component characteristic difference, the irradiation level range of different power station power correction formula adaptations Variant namely above-mentioned power correction formula has certain irradiation level condition of compatibility, in low irradiation, power correction Deviation it is larger, therefore need to be according to the data cases in practical power station, for low irradiation the case where is suitably modified the formula, with Improve the precision of the group string effective temperature obtained by power correction formula.
The present embodiment is according to the difference of corrected output and actual power ratio, and relationship with irradiation level improves function under low irradiation Rate correction formula.It is illustrated with the citing in above-described embodiment, chooses the history data of certain photovoltaic plant table 1, calculated The effective power temperature coefficient for obtaining the power station is -0.00468, obtains the correction value of one group of power using power correction formula, The ratio between correction value and the error of actual value are as follows:As can be seen that Ignore the influence of temperature, which is presented negatively correlated linear relationship with irradiation substantially.Fig. 4 is the power correction value calculated With the error rate of actual valueWith the corresponding relationship of irradiation;When irradiating lower, such as 100w/m2Hereinafter, the error RatioIt is positively related linear relationship with irradiate presentation, therefore in this case, needs to improve the power station and exist 100w/m2Power correction formula under low irradiation below.
To make error formula in low irradiation, the error rate of correction value and actual valueStill presented with irradiation Negatively correlated linear relationship, that is, change intoIt need to be in 100w/m2When following, make the error rate of correction value and actual valueLinear decline is still presented when irradiating and rising, therefore by correction value P'corrContracting in proportion is carried out according to irradiation level It is small, i.e., in 100w/m2When following, correction valueDecline as irradiation rises, to make error rate Decline as irradiation rises.Thus, it is possible to which the correction formula obtained under low irradiation is changed to:
Gm≤100w/m2When
After improving formula, the error ratio and irradiation scatter plot such as Fig. 5 of the power correction value of the photovoltaic plant and actual value It is shown.
It is possible thereby to derive the group string effective temperature of the photovoltaic plant are as follows:
Gm≤100w/m2When;
Gm>100w/m2When;
By above-mentioned formula calculate group string effective temperature, characterization be one, power station group string in a natural environment, it is more The synthesis actual work temperature of piece component cell piece temperature.In practical application, power correction value and actual value in different power stations Error ratio might not be identical with the scatterplot distribution shape turning point of irradiation, i.e., and unevenness is in 100w/m2When, it therefore, can be with It is arranged accordingly depending on its specific application environment, it is hereby achieved that formula used by step S103 are as follows:
Wherein, T is the effective temperature of group string, PmFor group current power measured value of string, PcorrFor power measured value is corrected Performance number under the conditions of to STC, G0For the irradiation 1000w/m under the conditions of STC2,GmFor group current irradiation measured value of string, δPFor The effective power temperature coefficient of group string, T0For 25 DEG C of temperature under the conditions of STC, X is irradiation threshold value.
The present embodiment on the basis of above-described embodiment, improves under low irradiation given a kind of according to practical power station data Power correction formula, can be effectively reduced the error of power correction, obtain higher group of string effective temperature of accuracy.
Remaining step and principle are same as the previously described embodiments, no longer repeat one by one herein.
Another embodiment of the present invention additionally provides a kind of acquisition device of photovoltaic plant group string effective temperature, be able to carry out as The acquisition methods of any photovoltaic plant group string effective temperature of above-described embodiment.
The device can be independent device, including processor and memory, and processor is deposited for executing in memory Each program of storage includes that photovoltaic plant group string described in above-described embodiment is effectively warm in each program stored in memory The acquisition methods of degree.
Alternatively, the device also can integrate in the controller of host computer or photovoltaic plant inverter, do not do herein specific It limits, it can be depending on its application environment, within the scope of protection of this application.
The each step and principle of the acquisition methods of the photovoltaic plant group string effective temperature are same as the previously described embodiments, herein No longer repeat one by one.
Each embodiment is described in a progressive manner in the present invention, the highlights of each of the examples are with other realities The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment Speech, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is referring to method part illustration ?.
The above described is only a preferred embodiment of the present invention, being not intended to limit the present invention in any form.Though So the present invention has been disclosed as a preferred embodiment, and however, it is not intended to limit the invention.It is any to be familiar with those skilled in the art Member, without departing from the scope of the technical proposal of the invention, all using the methods and technical content of the disclosure above to the present invention Technical solution makes many possible changes and modifications or equivalent example modified to equivalent change.Therefore, it is all without departing from The content of technical solution of the present invention, according to the technical essence of the invention any simple modification made to the above embodiment, equivalent Variation and modification, all of which are still within the scope of protection of the technical scheme of the invention.

Claims (10)

1. a kind of acquisition methods of photovoltaic plant group string effective temperature characterized by comprising
According to the power station historical data for meeting the first preset condition, the component effective temperature value on each date is calculated;
To meet power station historical data corresponding to the component effective temperature value of the second preset condition, according to least square method It is calculated, obtains the effective power temperature coefficient of each group of string;
It is calculated according to the current power measured value of the effective power temperature coefficient and respective sets string and irradiation measured value, Obtain the effective temperature of respective sets string.
2. the acquisition methods of photovoltaic plant group string effective temperature according to claim 1, which is characterized in that according to meeting the The component effective temperature value on each date, used formula is calculated in the power station historical data of one preset condition are as follows:
Wherein, T is component effective temperature value, G0For the irradiation 1000w/m under the conditions of STC2,GmFor in the power station historical data The irradiation measured value of group string, TEnvironmentFor the measured value of environment temperature in the power station historical data, a, b, Δ T are respectively and power station Corresponding three constants of component installation situation.
3. the acquisition methods of photovoltaic plant group string effective temperature according to claim 1, which is characterized in that be calculated After the component effective temperature value on each date, further includes:
It is calculated in each component effective temperature value and the power station historical data and corresponds to date respective sets string power generation function Correlation between rate;Second preset condition is that the correlation meets degree of correlation requirement.
4. the acquisition methods of photovoltaic plant group string effective temperature according to claim 3, which is characterized in that the degree of correlation It is required that are as follows: it is corresponded in the component effective temperature value and the power station historical data inclined between date respective sets string generated output Related coefficient is negative value, and the absolute value of the partial correlation coefficient is more than or equal to preset threshold.
5. the acquisition methods of photovoltaic plant group string effective temperature according to claim 4, which is characterized in that according to minimum two Multiplication is calculated, and the effective power temperature coefficient of each group of string is obtained, comprising:
Using formulaEffective absolute power temperature coefficient δ of respective sets string is calculatedP';Wherein, RPT(G) To correspond to the partial correlation between date respective sets string generated output in the component effective temperature value and the power station historical data Coefficient, σPTo meet the group string in power station historical data corresponding to the component effective temperature value of second preset condition Generated output standard deviation, σTFor meet second preset condition the component effective temperature value standard deviation;
Using formulaEffective relative power temperature coefficient δ of respective sets string is calculatedP, as the effective of respective sets string Temperature power coefficient;Wherein, P0For the maximum power of respective sets string under the conditions of STC.
6. the acquisition methods of photovoltaic plant group string effective temperature according to claim 1, which is characterized in that had according to described Effect temperature power coefficient and the current power measured value of respective sets string and irradiation measured value are calculated, and respective sets string is obtained Effective temperature, used formula are as follows:
Wherein, T is the effective temperature of group string, PmFor group current power measured value of string, PcorrFor power measured value is adapted to Performance number under the conditions of STC, G0For the irradiation 1000w/m under the conditions of STC2,GmFor group current irradiation measured value of string, δPFor group The effective power temperature coefficient of string, T0For 25 DEG C of temperature under the conditions of STC.
7. the acquisition methods of photovoltaic plant group string effective temperature according to claim 1, which is characterized in that had according to described Effect temperature power coefficient and the current power measured value of respective sets string and irradiation measured value are calculated, and respective sets string is obtained Effective temperature, used formula are as follows:
Wherein, T is the effective temperature of group string, PmFor group current power measured value of string, PcorrFor power measured value is adapted to Performance number under the conditions of STC, G0For the irradiation 1000w/m under the conditions of STC2,GmFor group current irradiation measured value of string, δPFor group The effective power temperature coefficient of string, T0For 25 DEG C of temperature under the conditions of STC, X is irradiation threshold value.
8. the acquisition methods of -7 any photovoltaic plant group string effective temperatures according to claim 1, which is characterized in that in root According to the power station historical data for meeting the first preset condition, it is calculated before the component effective temperature value on each date, further includes:
The power station historical data on securing component surface clean date;
In the power station historical data on assembly surface clean date, rejecting abnormalities fluctuate data, and it is default that acquisition meets described first The power station historical data of condition.
9. the acquisition methods of photovoltaic plant group string effective temperature according to claim 8, which is characterized in that the component table The face clean date are as follows: the date after component cleaning or strong rainstorms;
The unusual fluctuations data include: because of shadow occlusion or component faults caused by abnormal data.
10. a kind of acquisition device of photovoltaic plant group string effective temperature, which is characterized in that appoint for executing claim 1-9 such as The acquisition methods of photovoltaic plant group string effective temperature described in one.
CN201910035454.5A 2019-01-15 2019-01-15 Method and device for acquiring effective temperature of photovoltaic power station string Active CN109767041B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910035454.5A CN109767041B (en) 2019-01-15 2019-01-15 Method and device for acquiring effective temperature of photovoltaic power station string

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910035454.5A CN109767041B (en) 2019-01-15 2019-01-15 Method and device for acquiring effective temperature of photovoltaic power station string

Publications (2)

Publication Number Publication Date
CN109767041A true CN109767041A (en) 2019-05-17
CN109767041B CN109767041B (en) 2022-04-08

Family

ID=66453977

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910035454.5A Active CN109767041B (en) 2019-01-15 2019-01-15 Method and device for acquiring effective temperature of photovoltaic power station string

Country Status (1)

Country Link
CN (1) CN109767041B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110994671A (en) * 2019-11-25 2020-04-10 国网四川省电力公司电力科学研究院 Small-size independent photovoltaic power generation simulation model based on MATLAB
CN112671336A (en) * 2020-12-16 2021-04-16 广东电网有限责任公司电力调度控制中心 Method and device for detecting abnormal working temperature of photovoltaic module and computer equipment

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103390116A (en) * 2013-08-07 2013-11-13 华北电力大学(保定) Method for predicting electricity generation power of photovoltaic power station in step-by-step way
CN104978613A (en) * 2015-07-28 2015-10-14 国家电网公司 Short-period forecasting method for photovoltaic output in consideration of assembly temperature
CN105260800A (en) * 2015-10-26 2016-01-20 国网浙江省电力公司电力科学研究院 Photovoltaic module temperature prediction method and device
CN105354655A (en) * 2015-10-06 2016-02-24 东北电力大学 Photovoltaic power station group confidence capacity evaluation method considering power correlation
CN105404937A (en) * 2015-11-26 2016-03-16 北京国电通网络技术有限公司 Photovoltaic plant short-term power prediction method and system
CN106301220A (en) * 2015-06-10 2017-01-04 阿特斯(中国)投资有限公司 Photovoltaic module temperature coefficient acquisition methods
CN106803742A (en) * 2015-11-26 2017-06-06 中国电力科学研究院 A kind of detection method for photovoltaic plant scene photovoltaic group string uniformity and efficiency
CN107798434A (en) * 2017-11-08 2018-03-13 南京因泰莱电器股份有限公司 A kind of implementation method of the double optimization photovoltaic power generation power prediction value returned based on tree
CN108428019A (en) * 2018-05-15 2018-08-21 阳光电源股份有限公司 The method for building up and photovoltaic power prediction technique of component battery temperature computation model

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103390116A (en) * 2013-08-07 2013-11-13 华北电力大学(保定) Method for predicting electricity generation power of photovoltaic power station in step-by-step way
CN106301220A (en) * 2015-06-10 2017-01-04 阿特斯(中国)投资有限公司 Photovoltaic module temperature coefficient acquisition methods
CN104978613A (en) * 2015-07-28 2015-10-14 国家电网公司 Short-period forecasting method for photovoltaic output in consideration of assembly temperature
CN105354655A (en) * 2015-10-06 2016-02-24 东北电力大学 Photovoltaic power station group confidence capacity evaluation method considering power correlation
CN105260800A (en) * 2015-10-26 2016-01-20 国网浙江省电力公司电力科学研究院 Photovoltaic module temperature prediction method and device
CN105404937A (en) * 2015-11-26 2016-03-16 北京国电通网络技术有限公司 Photovoltaic plant short-term power prediction method and system
CN106803742A (en) * 2015-11-26 2017-06-06 中国电力科学研究院 A kind of detection method for photovoltaic plant scene photovoltaic group string uniformity and efficiency
CN107798434A (en) * 2017-11-08 2018-03-13 南京因泰莱电器股份有限公司 A kind of implementation method of the double optimization photovoltaic power generation power prediction value returned based on tree
CN108428019A (en) * 2018-05-15 2018-08-21 阳光电源股份有限公司 The method for building up and photovoltaic power prediction technique of component battery temperature computation model

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
李畸勇 等: "基于主成分分析的短期 PV /T 组件温度预测", 《广西大学学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110994671A (en) * 2019-11-25 2020-04-10 国网四川省电力公司电力科学研究院 Small-size independent photovoltaic power generation simulation model based on MATLAB
CN110994671B (en) * 2019-11-25 2023-04-28 国网四川省电力公司电力科学研究院 MATLAB-based small-sized independent photovoltaic power generation simulation model
CN112671336A (en) * 2020-12-16 2021-04-16 广东电网有限责任公司电力调度控制中心 Method and device for detecting abnormal working temperature of photovoltaic module and computer equipment
CN112671336B (en) * 2020-12-16 2022-01-25 广东电网有限责任公司电力调度控制中心 Method and device for detecting abnormal working temperature of photovoltaic module and computer equipment

Also Published As

Publication number Publication date
CN109767041B (en) 2022-04-08

Similar Documents

Publication Publication Date Title
Deetjen et al. The impacts of wind and solar on grid flexibility requirements in the Electric Reliability Council of Texas
Khatib et al. A review of photovoltaic systems size optimization techniques
Mills Implications of wide-area geographic diversity for short-term variability of solar power
Khatib et al. A new approach for optimal sizing of standalone photovoltaic systems
US10409925B1 (en) Method for tuning photovoltaic power generation plant forecasting with the aid of a digital computer
US8620634B2 (en) Energy resource allocation including renewable energy sources
Renaldi et al. Multiple time grids in operational optimisation of energy systems with short-and long-term thermal energy storage
WO2015175923A1 (en) Systems & methods for solar photovoltaic array engineering
US10339682B2 (en) Method and apparatus for energy data visualization
Engelhorn et al. How to estimate wind-turbine infeed with incomplete stock data: A general framework with an application to turbine-specific market values in Germany
Park et al. A finite element model for estimating the techno-economic performance of the building-integrated photovoltaic blind
CN109767041A (en) A kind of acquisition methods and device of photovoltaic plant group string effective temperature
CN105633951A (en) System and method for modelling load in an electrical power network
CN108736510A (en) The prediction technique of photovoltaic power station power generation and plant area's electricity consumption ratio
CN109991470A (en) A kind of determination method and system of string type photovoltaic DC-to-AC converter transfer efficiency
Tahir et al. Optimal ESS size calculation for ramp rate control of grid-connected microgrid based on the selection of accurate representative days
WO2017049428A1 (en) Spinning reserve capacity optimization method based on cost-performance ratio of reserve object
Komilov Location and orientation based LCOE: Simplified visual analysis and generalization of the levelized cost of electricity from storageless photovoltaic systems
Bittel et al. Locating multi energy systems for a neighborhood in geneva using k-means clustering
TW201740296A (en) Method and system for predicting power generation capacity of renewable energy using a neural network to accurately calculate the power generation capacity of renewable energy
Vilela et al. A methodology for the design of photovoltaic water supply systems
CN114638727A (en) Adjustable robust monitoring method for process industry flexibility considering production uncertainty
Oprea et al. Key technical performance indicators for power plants
Hu PV module performance under real-world test conditions-a data analytics approach
Sheline Lowering the cost of solar-powered drip irrigation systems for smallholder farmers through systems-level modeling, optimization, and field testing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant