CN107657346A - Photovoltaic plant time transient potential parameter prediction method - Google Patents

Photovoltaic plant time transient potential parameter prediction method Download PDF

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CN107657346A
CN107657346A CN201710916703.2A CN201710916703A CN107657346A CN 107657346 A CN107657346 A CN 107657346A CN 201710916703 A CN201710916703 A CN 201710916703A CN 107657346 A CN107657346 A CN 107657346A
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photovoltaic plant
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CN107657346B (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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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
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
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    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract

The present invention proposes a kind of photovoltaic plant time transient potential parameter prediction method, obtain photovoltaic plant rated power of the rated voltage of each photovoltaic battery panel and photovoltaic plant in the real output under the conditions of standard day, photovoltaic plant, according to different weather factor of influence, the photovoltaic plant transient potential predicted parameter value under each weather factor of influence state is determined;Contributed according to photovoltaic battery panel under the conditions of standard day the function to change with time, determine photovoltaic plant time transient potential predistortion parameter measured value at a temperature of different PN;Determine the photovoltaic plant time transient potential parameter prediction value under current environmental temperature, air humidity, wind-force size and intensity of illumination;Determine the final predicted value of photovoltaic plant time transient potential parameter;The present invention is analyzed influenceing time transient potential factor, more improves photovoltaic plant time transient potential parameter prediction so that the numerical value after calculating more reaches actual value, carries out the arrangement of corresponding generation schedule, so as to reduce financial cost.

Description

Photovoltaic plant time transient potential parameter prediction method
Technical field
The invention belongs to electric power network technique field, and in particular to a kind of photovoltaic plant time transient potential parameter prediction method.
Background technology
It is higher to the quality requirement of electricity during photovoltaic electric station grid connection, because traditional inverter uses SPWM technologies, it is difficult to right Photovoltaic plant transient potential is recognized, in order to cause network system to safely and steadily run, it would be highly desirable to is solved to photovoltaic electric Time transient potential of standing carries out parameter prediction, carries out the decision of corresponding storing up electricity and the method for salary distribution of energy storage in advance.To photovoltaic plant Transient potential parameter be predicted during according to the change of weather and to current environmental temperature, air humidity, and wind-force Size is predicted analysis, so as to be predicted according to analysis result to secondary transient potential parameter.
The content of the invention
In view of the shortcomings of the prior art, the present invention proposes a kind of photovoltaic plant time transient potential parameter prediction method.
A kind of photovoltaic plant time transient potential parameter prediction method, comprises the following steps:
Step 1:Obtain photovoltaic plant each photovoltaic electric in the real output P under the conditions of standard day, photovoltaic plant The rated voltage u of the pond plate and rated power P ' of photovoltaic plant, according to different weather factor of influence, determine each weather factor of influence Photovoltaic plant transient potential predicted parameter value U under stateqi, wherein, i is weather factor of influence;
The weather factor of influence is:Fine day i=1, cloudy i=2, cloudy i=3, rainy day i=4;
Photovoltaic plant transient potential parameter prediction value U under each weather factor of influence stateqiIt is as follows:
Photovoltaic plant transient potential parameter prediction value U under fine day stateq1Calculation formula it is as follows:
Photovoltaic plant transient potential parameter prediction value U under cloundinessq2Calculation formula it is as follows:
Photovoltaic plant transient potential parameter prediction value U under cloudy stateq3Calculation formula it is as follows:
Photovoltaic plant transient potential parameter prediction value U under rainy day stateq4Calculation formula it is as follows:
Step 2:Contributed according to photovoltaic battery panel under the conditions of standard day the function to change with time, determine different PN Photovoltaic plant time transient potential predistortion parameter measured value U under junction temperatureP
Photovoltaic plant time transient potential predistortion parameter measured value U at a temperature of the different PNPCalculation formula it is as follows:
Wherein, P0(t) function contributed for photovoltaic battery panel under the conditions of standard day with time t change, T is photovoltaic The temperature of PN junction in cell panel, k are Boltzmann constant, and r is Transmission Lines resistance.
Step 3:Determine that the photovoltaic plant time under current environmental temperature, air humidity, wind-force size and intensity of illumination is temporary State electrical potential parameters predicted value US
Photovoltaic plant time transient potential under the current environmental temperature, air humidity, wind-force size and intensity of illumination Parameter prediction value USCalculation formula it is as follows:
Wherein, D is intensity of illumination, T2For current environmental temperature, H is air humidity, and V is wind-force size.
Step 4:According to the photovoltaic plant transient potential parameter prediction value U under each weather factor of influence stateqi, different PN At a temperature of photovoltaic plant time transient potential parameter prediction value UP, current environmental temperature, air humidity, wind-force size and illumination it is strong Photovoltaic plant time transient potential parameter prediction value U under degreeSDetermine the final predicted value U of photovoltaic plant time transient potential parameter;
The final predicted value U of the photovoltaic plant time transient potential parameter calculation formula is as follows:
Wherein, u1For photovoltaic group row rated voltage, n is the quantity of photovoltaic battery panel.
Beneficial effects of the present invention:
The present invention proposes a kind of photovoltaic plant time transient potential parameter prediction method, for photovoltaic plant time transient potential ginseng Number is predicted, and the functional relation between output size and potential carries out detailed mathematical algorithm design.And to influenceing time transient state Potential factor is analyzed, and more improves photovoltaic plant time transient potential parameter prediction so that the numerical value after calculating is more Reach actual value.The arrangement of corresponding generation schedule is carried out in the case where more reaching actual value, so as to reduce financial cost.
Brief description of the drawings
Fig. 1 is the flow chart of photovoltaic plant time transient potential parameter prediction method.
Embodiment
The specific embodiment of the invention is described in detail below in conjunction with the accompanying drawings.
In the weather factor of influence of photovoltaic plant, in order to more accurately predict time transient potential parameter, by photovoltaic electric The weather stood is divided into fine day, cloudy, at the cloudy day, the rainy day, is distinguished according to the situation that photovoltaic plant is contributed under the conditions of different weather Secondary transient potential parameter is predicted, and corresponding influence degree is calculated.
The output size of photovoltaic plant in itself can also influence time prediction of transient potential parameter, be existed by analyzing photovoltaic plant The motion state of PN electronics when difference is contributed, to analyze time transient potential parameter, in the case where intensity of illumination is constant, its electric current Size does not change with the change of working condition, and now solar cell can regard a constant-current source as.When intensity of illumination changes, Because cell panel is larger with the change fluctuation of intensity of illumination, solar cell is the material group by certain resistivity in itself Into electric current flows through solar cell, has certain loss, and when different electric currents flow through, its waste is also different, so that also can shadow Ring time transient potential parameter.In this regard, the design uses the research method based on photovoltaic self character, carries out corresponding time temporarily State electrical potential parameters are analyzed.
Photovoltaic plant environmental condition influences on secondary transient state parameter prediction, is mainly shown as current environmental temperature, air humidity, Wind-force size, and intensity of illumination, the present invention carry out corresponding mathematical modeling, to environment temperature under based on above influence condition Degree, air humidity, wind-force size, and intensity of illumination carry out ratio calculating respectively, after proportion is calculated respectively, carry out Photovoltaic plant time transient potential parameter prediction method is obtained in functional operation.
A kind of photovoltaic plant time transient potential parameter prediction method, as shown in figure 1, comprising the following steps:
Step 1:Obtain photovoltaic plant each photovoltaic electric in the real output P under the conditions of standard day, photovoltaic plant The rated voltage u of the pond plate and rated power P ' of photovoltaic plant, according to different weather factor of influence, determine each weather factor of influence Photovoltaic plant transient potential predicted parameter value U under stateqi, wherein, i is weather factor of influence.
In present embodiment, real output P=367MW, rated power P '=407MW of photovoltaic plant, photovoltaic electric The rated voltage u=36V of each photovoltaic battery panel in standing.
The weather factor of influence is:Fine day i=1, cloudy i=2, cloudy i=3, rainy day i=4.
Photovoltaic plant transient potential parameter prediction value U under each weather factor of influence stateqiIt is as follows:
Photovoltaic plant transient potential parameter prediction value U under fine day stateq1Calculation formula such as formula (1) shown in:
Photovoltaic plant transient potential parameter prediction value U under cloundinessq2Calculation formula such as formula (2) shown in:
Photovoltaic plant transient potential parameter prediction value U under cloudy stateq3Calculation formula such as formula (3) shown in:
Photovoltaic plant transient potential parameter prediction value U under rainy day stateq4Calculation formula such as formula (4) shown in:
Step 2:Contributed according to photovoltaic battery panel under the conditions of standard day the function to change with time, determine different PN Photovoltaic plant time transient potential predistortion parameter measured value U under junction temperatureP
In present embodiment, function P that photovoltaic battery panel is contributed under the conditions of standard day with time t change0(t) such as Shown in formula (5):
P0(t)=34t2+t+12(0≤t≤23) (5)
In present embodiment, T=50 degrees Celsius of the temperature of PN junction in photovoltaic battery panel, Transmission Lines resistance r=100 Ω, the quantity n=1000 of photovoltaic battery panel, Boltzmann constant k=0.79, photovoltaic plant time transient state electricity at a temperature of different PN Gesture predistortion parameter measured value UPCalculation formula such as formula (6) shown in:
Step 3:Determine that the photovoltaic plant time under current environmental temperature, air humidity, wind-force size and intensity of illumination is temporary State electrical potential parameters predicted value US
In present embodiment, intensity of illumination D=600w/h, current environmental temperature T2=26 degrees Celsius, air humidity H= 0.6, wind-force size V=30m/min, the photovoltaic plant under current environmental temperature, air humidity, wind-force size and intensity of illumination Secondary transient potential parameter prediction value USCalculation formula such as formula (7) shown in:
Step 4:According to the photovoltaic plant transient potential parameter prediction value U under each weather factor of influence stateqi, different PN At a temperature of photovoltaic plant time transient potential parameter prediction value UP, current environmental temperature, air humidity, wind-force size and illumination it is strong Photovoltaic plant time transient potential parameter prediction value U under degreeSDetermine the final predicted value U of photovoltaic plant time transient potential parameter;
Shown in the final predicted value U of the photovoltaic plant time transient potential parameter calculation formula such as formula (8):
Calculated and understood according to above-mentioned embodiment, the method is higher to photovoltaic plant time transient potential precision of prediction, meets It is required that.

Claims (4)

1. a kind of photovoltaic plant time transient potential parameter prediction method, it is characterised in that comprise the following steps:
Step 1:Obtain photovoltaic plant each photovoltaic battery panel in the real output P under the conditions of standard day, photovoltaic plant Rated voltage u and photovoltaic plant rated power P ', according to different weather factor of influence, determine each weather factor of influence state Under photovoltaic plant transient potential predicted parameter value Uqi, wherein, i is weather factor of influence;
Step 2:Contributed according to photovoltaic battery panel under the conditions of standard day the function to change with time, determine different PN temperature The lower photovoltaic plant time transient potential predistortion parameter measured value U of degreeP
Step 3:Determine the photovoltaic plant time transient state electricity under current environmental temperature, air humidity, wind-force size and intensity of illumination Potential parameter predicted value US
Step 4:According to the photovoltaic plant transient potential parameter prediction value U under each weather factor of influence stateqi, different PN temperature Lower photovoltaic plant time transient potential parameter prediction value UP, current environmental temperature, air humidity, under wind-force size and intensity of illumination Photovoltaic plant time transient potential parameter prediction value USDetermine the final predicted value U of photovoltaic plant time transient potential parameter;
The final predicted value U of the photovoltaic plant time transient potential parameter calculation formula is as follows:
<mrow> <mi>U</mi> <mo>=</mo> <msub> <mi>u</mi> <mn>1</mn> </msub> <mfrac> <msqrt> <mrow> <msup> <msub> <mi>&amp;Sigma;U</mi> <mrow> <mi>q</mi> <mi>i</mi> </mrow> </msub> <mn>2</mn> </msup> <mo>+</mo> <msup> <msub> <mi>U</mi> <mi>S</mi> </msub> <mn>2</mn> </msup> <mo>+</mo> <msup> <msub> <mi>U</mi> <mi>p</mi> </msub> <mn>2</mn> </msup> </mrow> </msqrt> <mn>36</mn> </mfrac> <mi>n</mi> <mo>;</mo> </mrow>
Wherein, u1For photovoltaic group row rated voltage, n is the quantity of photovoltaic battery panel.
2. photovoltaic plant according to claim 1 time transient potential parameter prediction method, it is characterised in that the weather shadow Ringing the factor is:Fine day i=1, cloudy i=2, cloudy i=3, rainy day i=4;
Photovoltaic plant transient potential parameter prediction value U under each weather factor of influence stateqiIt is as follows:
Photovoltaic plant transient potential parameter prediction value U under fine day stateq1Calculation formula it is as follows:
<mrow> <msub> <mi>U</mi> <mrow> <mi>q</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mo>&amp;lsqb;</mo> <mi>lg</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mn>60</mn> <mi>P</mi> </mrow> <mrow> <msup> <mi>&amp;pi;P</mi> <mo>&amp;prime;</mo> </msup> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>+</mo> <mn>4</mn> <mo>&amp;rsqb;</mo> <mo>&amp;times;</mo> <msup> <mn>10</mn> <mn>4</mn> </msup> </mrow> <mi>u</mi> </mfrac> <mo>;</mo> </mrow>
Photovoltaic plant transient potential parameter prediction value U under cloundinessq2Calculation formula it is as follows:
<mrow> <msub> <mi>U</mi> <mrow> <mi>q</mi> <mn>2</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mo>&amp;lsqb;</mo> <mi>lg</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mn>60</mn> <mi>P</mi> </mrow> <mrow> <mn>2</mn> <msup> <mi>&amp;pi;P</mi> <mo>&amp;prime;</mo> </msup> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>+</mo> <mn>2</mn> <mo>&amp;rsqb;</mo> <mo>&amp;times;</mo> <msup> <mn>10</mn> <mn>2</mn> </msup> </mrow> <mi>u</mi> </mfrac> <mo>;</mo> </mrow>
Photovoltaic plant transient potential parameter prediction value U under cloudy stateq3Calculation formula it is as follows:
<mrow> <msub> <mi>U</mi> <mrow> <mi>q</mi> <mn>3</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mo>&amp;lsqb;</mo> <mi>lg</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mn>60</mn> <mi>P</mi> </mrow> <mrow> <mn>2</mn> <msup> <mi>&amp;pi;P</mi> <mo>&amp;prime;</mo> </msup> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>+</mo> <mn>1</mn> <mo>&amp;rsqb;</mo> <mo>&amp;times;</mo> <mn>10</mn> </mrow> <mi>u</mi> </mfrac> <mo>;</mo> </mrow>
Photovoltaic plant transient potential parameter prediction value U under rainy day stateq4Calculation formula it is as follows:
<mrow> <msub> <mi>U</mi> <mrow> <mi>q</mi> <mn>4</mn> </mrow> </msub> <mo>=</mo> <mfrac> <mrow> <mo>&amp;lsqb;</mo> <mi>lg</mi> <mrow> <mo>(</mo> <mfrac> <mrow> <mn>60</mn> <mi>P</mi> </mrow> <mrow> <mn>2</mn> <msup> <mi>&amp;pi;P</mi> <mo>&amp;prime;</mo> </msup> </mrow> </mfrac> <mo>)</mo> </mrow> <mo>+</mo> <mn>0.5</mn> <mo>&amp;rsqb;</mo> <mo>&amp;times;</mo> <msqrt> <mn>10</mn> </msqrt> </mrow> <mi>u</mi> </mfrac> <mo>.</mo> </mrow>
3. photovoltaic plant according to claim 1 time transient potential parameter prediction method, it is characterised in that the different PN Photovoltaic plant time transient potential predistortion parameter measured value U under junction temperaturePCalculation formula it is as follows:
<mrow> <msub> <mi>U</mi> <mi>P</mi> </msub> <mo>=</mo> <msub> <mi>u</mi> <mn>1</mn> </msub> <mfrac> <mrow> <msub> <mi>P</mi> <mn>0</mn> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mi>exp</mi> <mrow> <mo>(</mo> <msub> <mi>u</mi> <mn>1</mn> </msub> <mo>+</mo> <mi>r</mi> <mo>)</mo> </mrow> </mrow> <mrow> <mi>n</mi> <mi>k</mi> </mrow> </mfrac> <mi>T</mi> <mo>;</mo> </mrow>
Wherein, P0(t) function contributed for photovoltaic battery panel under the conditions of standard day with time t change, T is photovoltaic cell The temperature of PN junction in plate, k are Boltzmann constant, and r is Transmission Lines resistance.
4. photovoltaic plant according to claim 1 time transient potential parameter prediction method, it is characterised in that described to work as front ring Photovoltaic plant time transient potential parameter prediction value U under border temperature, air humidity, wind-force size and intensity of illuminationSCalculating Formula is as follows:
<mrow> <msub> <mi>U</mi> <mi>S</mi> </msub> <mo>=</mo> <msub> <mi>u</mi> <mn>1</mn> </msub> <mfrac> <mrow> <mo>&amp;lsqb;</mo> <mi>lg</mi> <mi> </mi> <mi>D</mi> <mo>+</mo> <mrow> <mo>(</mo> <mi>sin</mi> <mi> </mi> <msub> <mi>T</mi> <mn>2</mn> </msub> <mo>+</mo> <mi>cos</mi> <mi> </mi> <mi>H</mi> <mo>)</mo> </mrow> <mo>+</mo> <mfrac> <mi>V</mi> <mn>100</mn> </mfrac> <mo>&amp;rsqb;</mo> <mi>sin</mi> <mi> </mi> <msup> <mi>e</mi> <mrow> <mi>cos</mi> <mi>H</mi> </mrow> </msup> </mrow> <msup> <mi>e</mi> <mrow> <msub> <mi>sinT</mi> <mn>2</mn> </msub> </mrow> </msup> </mfrac> <mo>;</mo> </mrow>
Wherein, D is intensity of illumination, T2For current environmental temperature, H is air humidity, and V is wind-force size.
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