CN107733363B - Photovoltaic plant data transmit accuracy rate prediction technique - Google Patents

Photovoltaic plant data transmit accuracy rate prediction technique Download PDF

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Publication number
CN107733363B
CN107733363B CN201710915051.0A CN201710915051A CN107733363B CN 107733363 B CN107733363 B CN 107733363B CN 201710915051 A CN201710915051 A CN 201710915051A CN 107733363 B CN107733363 B CN 107733363B
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accuracy rate
photovoltaic plant
photovoltaic
plant data
conditions
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CN107733363A (en
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李春来
左浩
滕云
张海宁
杨金路
孙鹏
张玉龙
程珊珊
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Shenyang University of Technology
State Grid Qinghai Electric Power Co Ltd
Electric Power Research Institute of State Grid Qinghai Electric Power Co Ltd
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Shenyang University of Technology
State Grid Qinghai Electric Power Co Ltd
Electric Power Research Institute of State Grid Qinghai Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10Testing of PV devices, e.g. of PV modules or single PV cells
    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy

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  • Photovoltaic Devices (AREA)

Abstract

The present invention provides a kind of photovoltaic plant data transmission accuracy rate prediction technique, comprising: obtains the quantity of photovoltaic panel voltage rating, transmission resistance, photovoltaic panel;Acquire PN junction temperature, the own temperature of voltage sensor, current environmental temperature, air humidity, wind-force size, intensity of illumination;Photovoltaic plant data transmission accuracy rate is predicted using photovoltaic plant data transmission accuracy rate anticipation function;Functional relation between the reason of present invention is for accuracy rate is influenced, and power output size and accuracy rate is analyzed, and is influenced data precision factor in data transmission procedure and carried out proportion grading, and more improve data transfer precision accuracy rate is predicted.

Description

Photovoltaic plant data transmit accuracy rate prediction technique
Technical field
The invention belongs to technical field of power systems, specifically a kind of photovoltaic plant data transmit accuracy rate prediction technique.
Background technique
Due to photovoltaic array substantial amounts and structure is complicated, is highly prone to external factor influence, the accuracy rate of data transmission Also it can be varied, for control centre, the accuracy of data will have a direct impact on the arrangement of generation schedule, thus to hair Electric cost generates certain influence.At present due to photovoltaic plant contribute it is unstable, output data with weather variation error It can fluctuate therewith.
Summary of the invention
In view of the problems of the existing technology, the present invention provides a kind of photovoltaic plant data transmission accuracy rate prediction technique.
The technical scheme of the present invention is realized as follows:
A kind of photovoltaic plant data transmission accuracy rate prediction technique, comprising:
Obtain the quantity of photovoltaic panel voltage rating, transmission resistance, photovoltaic panel;
Acquire PN junction temperature, the own temperature of voltage sensor, current environmental temperature, air humidity, wind-force size, illumination Intensity;
Photovoltaic plant data transmission accuracy rate is predicted using photovoltaic plant data transmission accuracy rate anticipation function;
Photovoltaic plant data transmit accuracy rate anticipation function:
Wherein, Aq1Accuracy rate is transmitted for the photovoltaic plant data under the conditions of fine day;Aq2For the fine photovoltaic seen under Cloudy conditions Power station data transmits accuracy rate;Aq3Accuracy rate is transmitted for the photovoltaic plant data under the conditions of the cloudy day;Aq4For the light under the conditions of the rainy day Overhead utility data transmit accuracy rate;APTo transmit accuracy rate according to the photovoltaic plant data of PN junction temperature computation;ATFor according to voltage It is accurate that the error of sensor itself transmits photovoltaic plant data transmission accuracy rate influence degree photovoltaic plant data calculated Rate.
Photovoltaic plant data under the conditions of the fine day transmit accuracy rateWherein, P is light Overhead utility real output, P ' are photovoltaic plant rated power.
The fine photovoltaic plant data transmission accuracy rate seen under Cloudy conditionsWherein, P For photovoltaic plant real output, P ' is photovoltaic plant rated power.
Photovoltaic plant data under the conditions of the cloudy day transmit accuracy rateWherein, P is light Overhead utility real output, P ' are photovoltaic plant rated power.
Photovoltaic plant data under the conditions of the rainy day transmit accuracy rateWherein, P For photovoltaic plant real output, P ' is photovoltaic plant rated power.
It is described to transmit accuracy rate according to the photovoltaic plant data of PN junction temperature computationIts In, P0It (t) is the power output function that t changes at any time under the conditions of photovoltaic battery panel fine day, T is PN junction temperature, and u is photovoltaic panel volume Constant voltage, r are transmission resistance, and n is the quantity of photovoltaic panel, and k is Boltzmann constant.
The error amount according to sensor itself transmits accuracy rate influence degree light calculated to photovoltaic plant data Overhead utility data transmit accuracy rateWherein, T1For the own temperature of voltage sensor, τ For the influence coefficient that the error of voltage sensor itself transmits photovoltaic plant data, P ' is photovoltaic plant rated power, lne= 1。
The photovoltaic plant data calculated according to environmental condition transmit accuracy rateWherein, T2For current environmental temperature, H is air humidity, and V is wind-force Size, D are intensity of illumination, lne=1.
The utility model has the advantages that
In order to reaching the prediction to photovoltaic plant data accuracy under difficult environmental conditions, improve control centre with Letter between the reason of harmony between photovoltaic plant, the present invention is for accuracy rate is influenced, and power output size and accuracy rate Number relationship is analyzed, and is influenced data precision factor in data transmission procedure and carried out proportion grading, more raising number It is predicted according to transmission precision accuracy rate, so that the numerical value after calculating more reaches true value.
Detailed description of the invention
Fig. 1 is the photovoltaic plant data transmission accuracy rate prediction technique flow chart in the specific embodiment of the invention.
Specific embodiment
Specific embodiments of the present invention will be described in detail with reference to the accompanying drawing.
According to the Different Effects factor for the influence degree of photovoltaic plant data transmission system, Lai Jinhang data pass the present invention Defeated accuracy rate prediction.Influence data transmission accuracy rate impact factor in have present weather conditions (fine day, it is cloudy see it is fine, yin It, the rainy day), the power output capacity of photovoltaic plant (photovoltaic panel voltage rating u, transmission resistance r, photovoltaic panel quantity n), it is measuring Detection error (the own temperature T with PN junction temperature T, voltage sensor of voltage sensor1It is related), photovoltaic plant environmental condition (current environmental temperature T2, air humidity H, wind-force size V, intensity of illumination D) etc..
In the weather impact factor of photovoltaic plant, it is divided into fine day, it is cloudy to see fine, cloudy day, rainy day, according in different weather Under the conditions of photovoltaic plant the case where contributing respectively the accuracy rate of data is predicted.
The power output size of photovoltaic plant itself also will affect the accuracy rate of data transmission, by analysis photovoltaic plant in difference The motion state of PN junction electronics when power output, to analyze data transmission accuracy rate, in the case where intensity of illumination is constant, electric current is big Small not change with the change of working condition, photovoltaic panel can regard a constant-current source as at this time.When intensity of illumination variation, due to light Plate is lied prostrate as the variation fluctuation of intensity of illumination is larger, photovoltaic panel itself is made of the material of certain resistivity, and electric current flows through Photovoltaic panel has certain loss, and when different electric currents flow through, waste is also different, so that it is accurate also to will affect data transmission Rate.Error in this regard based on photovoltaic self character carries out corresponding data transmission accuracy rate forecast analysis.
Since voltage sensor itself has measurement error, the true value of measurand can not be reached, be based on voltage When the error amount of sensor itself is to data transmission accuracy rate influence degree prediction, the present invention is used based on error prediction and can The calculating of reliability is finally reached the prediction purpose of data transmission accuracy rate.
Influence of the photovoltaic plant environmental condition to data transmission accuracy rate, is mainly shown as current environmental temperature, air is wet Degree, wind-force size and intensity of illumination, the present invention carry out corresponding mathematical modeling, to environment under based on the above influence condition Temperature, air humidity, wind-force size and intensity of illumination carry out ratio calculating respectively, after calculating separately out proportion, into Line function operation finds out the whole influence value to data transmission accuracy rate.
The present invention distributes finally by COMPREHENSIVE CALCULATING under based on above several conditionalities, reaches photovoltaic plant data The accurate prediction of accuracy rate is transmitted, is that the data of control centre improve accuracy, to preferably carry out the arrangement of generation schedule.
By the method for the present invention in certain photovoltaic plant application in present embodiment.Reality of photovoltaic plant under the conditions of fine day is defeated Power P=367MW out, rated power P '=407MW of photovoltaic plant.
A kind of photovoltaic plant data as shown in Figure 1 transmit accuracy rate prediction technique, comprising:
Step 1, the quantity n=1000 for obtaining photovoltaic panel voltage rating u=36v, transmitting resistance r=100 Ω, photovoltaic panel.
Step 2, the own temperature T for acquiring T=50 degrees Celsius of PN junction temperature, voltage sensor1=20 degrees Celsius, work as front ring T2=26 degrees Celsius of border temperature, air humidity H=0.6, wind-force size V=30m/min, intensity of illumination D=600w/h.
Step 3 carries out photovoltaic plant data transmission accuracy rate using photovoltaic plant data transmission accuracy rate anticipation function Prediction;
Photovoltaic plant data transmit accuracy rate anticipation function:
Wherein, Aq1Accuracy rate is transmitted for the photovoltaic plant data under the conditions of fine day;Aq2For the fine photovoltaic seen under Cloudy conditions Power station data transmits accuracy rate;Aq3Accuracy rate is transmitted for the photovoltaic plant data under the conditions of the cloudy day;Aq4For the light under the conditions of the rainy day Overhead utility data transmit accuracy rate;APTo transmit accuracy rate according to the photovoltaic plant data of PN junction temperature computation;ATFor according to voltage It is accurate that the error of sensor itself transmits photovoltaic plant data transmission accuracy rate influence degree photovoltaic plant data calculated Rate.
Photovoltaic plant data under the conditions of the fine day transmit accuracy rateWherein, P is light Overhead utility real output, P ' are photovoltaic plant rated power.
The fine photovoltaic plant data transmission accuracy rate seen under Cloudy conditionsWherein, P For photovoltaic plant real output, P ' is photovoltaic plant rated power.
Photovoltaic plant data under the conditions of the cloudy day transmit accuracy rateWherein, P is light Overhead utility real output, P ' are photovoltaic plant rated power.
Photovoltaic plant data under the conditions of the rainy day transmit accuracy rateWherein, P For photovoltaic plant real output, P ' is photovoltaic plant rated power.
It is described to transmit accuracy rate according to the photovoltaic plant data of PN junction temperature computationIts In, P0(t) at any time for the power output under photovoltaic battery panel fine day condition (20 degrees Celsius, wind speed 1m/s, air humidity 20%) Between t change function, P0(t)=34t2+t+12(0≤t≤23);T=50 degrees Celsius, be PN junction temperature;U=36v is photovoltaic panel Voltage rating, r=100 Ω are transmission resistance, and n=1000 is the quantity of photovoltaic panel, and k is Boltzmann constant, k=0.79.
The error amount according to sensor itself transmits accuracy rate influence degree light calculated to photovoltaic plant data Overhead utility data transmit accuracy rateWherein, T1It is voltage sensor (for measuring electricity Pressure) own temperature, T1=20 degrees Celsius;τ is the influence system that the error of voltage sensor itself transmits photovoltaic plant data It counts, it is photovoltaic plant rated power, lne=l that τ=0.17P ' is taken in present embodiment.
The photovoltaic plant data calculated according to environmental condition transmit accuracy rateWherein, T2For current environmental temperature, H is air humidity, and V is wind-force Size, D are intensity of illumination, lne=1.
Solve Aq1=9.7, Aq2=3.6, Aq3=1.46, Aq4=1.81, Ap=6.71, AT=2.81, As=1.91.
The calculation shows that, present embodiment data transmit accuracy rate predicted value A=0.71, and precision of prediction is higher.
The above is only the embodiment of the present invention, are not intended to restrict the invention, therefore, it is all in spirit of the invention and Within principle, any modification, equivalent substitution, improvement and etc. done be should be included within scope of the presently claimed invention.

Claims (1)

1. a kind of photovoltaic plant data transmit accuracy rate prediction technique characterized by comprising
Obtain the quantity of photovoltaic panel voltage rating, transmission resistance, photovoltaic panel;
Acquisition PN junction temperature, the own temperature of voltage sensor, current environmental temperature, air humidity, wind-force size, illumination are strong Degree;
Photovoltaic plant data transmission accuracy rate is predicted using photovoltaic plant data transmission accuracy rate anticipation function;
Photovoltaic plant data transmit accuracy rate anticipation function:
Wherein, Aq1Accuracy rate is transmitted for the photovoltaic plant data under the conditions of fine day;Aq2For the fine photovoltaic plant seen under Cloudy conditions Data transmit accuracy rate;Aq3Accuracy rate is transmitted for the photovoltaic plant data under the conditions of the cloudy day;Aq4For the photovoltaic electric under the conditions of the rainy day Data of standing transmit accuracy rate;APTo transmit accuracy rate according to the photovoltaic plant data of PN junction temperature computation;ATFor according to voltage sensor The error of device itself transmits accuracy rate to photovoltaic plant data transmission accuracy rate influence degree photovoltaic plant data calculated;
Photovoltaic plant data under the conditions of the fine day transmit accuracy rateWherein, P is photovoltaic electric It stands real output, P ' is photovoltaic plant rated power;
The fine photovoltaic plant data transmission accuracy rate seen under Cloudy conditionsWherein, P is light Overhead utility real output, P ' are photovoltaic plant rated power;
Photovoltaic plant data under the conditions of the cloudy day transmit accuracy rateWherein, P is photovoltaic electric It stands real output, P ' is photovoltaic plant rated power;
Photovoltaic plant data under the conditions of the rainy day transmit accuracy rateWherein, P is photovoltaic Power station real output, P ' are photovoltaic plant rated power;
It is described to transmit accuracy rate according to the photovoltaic plant data of PN junction temperature computationWherein, P0 It (t) is the power output function that t changes at any time under the conditions of photovoltaic battery panel fine day, T is PN junction temperature, and u is the specified electricity of photovoltaic panel Pressure, r are transmission resistance, and n is the quantity of photovoltaic panel, and k is Boltzmann constant;
The error amount according to sensor itself transmits accuracy rate influence degree photovoltaic electric calculated to photovoltaic plant data Data of standing transmit accuracy rateWherein, T1For the own temperature of voltage sensor, τ is The influence coefficient that the error of voltage sensor itself transmits photovoltaic plant data, P ' are photovoltaic plant rated power, lne=1;
The photovoltaic plant data calculated according to environmental condition transmit accuracy rateWherein, T2For current environmental temperature, H is air humidity, and V is wind-force Size, D are intensity of illumination, lne=1.
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CN206195362U (en) * 2016-11-07 2017-05-24 云南耀创能源开发有限公司 Photovoltaic microgrid grid -connected electricity generation system

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN206195362U (en) * 2016-11-07 2017-05-24 云南耀创能源开发有限公司 Photovoltaic microgrid grid -connected electricity generation system

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