CN107657346A - Photovoltaic plant time transient potential parameter prediction method - Google Patents
Photovoltaic plant time transient potential parameter prediction method Download PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- mrow
- photovoltaic plant
- msub
- mfrac
- transient potential
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000001052 transient effect Effects 0.000 title claims abstract description 77
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000005286 illumination Methods 0.000 claims abstract description 18
- 230000007613 environmental effect Effects 0.000 claims abstract description 15
- 238000004364 calculation method Methods 0.000 claims description 20
- 230000005611 electricity Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 241000196324 Embryophyta Species 0.000 description 55
- 238000004458 analytical method Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H02J3/383—
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Photovoltaic Devices (AREA)
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
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>&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>&lsqb;</mo>
<mi>lg</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<mn>60</mn>
<mi>P</mi>
</mrow>
<mrow>
<msup>
<mi>&pi;P</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mn>4</mn>
<mo>&rsqb;</mo>
<mo>&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>&lsqb;</mo>
<mi>lg</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<mn>60</mn>
<mi>P</mi>
</mrow>
<mrow>
<mn>2</mn>
<msup>
<mi>&pi;P</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mn>2</mn>
<mo>&rsqb;</mo>
<mo>&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>&lsqb;</mo>
<mi>lg</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<mn>60</mn>
<mi>P</mi>
</mrow>
<mrow>
<mn>2</mn>
<msup>
<mi>&pi;P</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mn>1</mn>
<mo>&rsqb;</mo>
<mo>&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>&lsqb;</mo>
<mi>lg</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<mn>60</mn>
<mi>P</mi>
</mrow>
<mrow>
<mn>2</mn>
<msup>
<mi>&pi;P</mi>
<mo>&prime;</mo>
</msup>
</mrow>
</mfrac>
<mo>)</mo>
</mrow>
<mo>+</mo>
<mn>0.5</mn>
<mo>&rsqb;</mo>
<mo>&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>&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>&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.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710916703.2A CN107657346B (en) | 2017-09-30 | 2017-09-30 | Photovoltaic power station sub-transient potential parameter prediction method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710916703.2A CN107657346B (en) | 2017-09-30 | 2017-09-30 | Photovoltaic power station sub-transient potential parameter prediction method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107657346A true CN107657346A (en) | 2018-02-02 |
CN107657346B CN107657346B (en) | 2020-12-15 |
Family
ID=61116776
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710916703.2A Active CN107657346B (en) | 2017-09-30 | 2017-09-30 | Photovoltaic power station sub-transient potential parameter prediction method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107657346B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113497457A (en) * | 2021-08-13 | 2021-10-12 | 国网天津市电力公司 | Photovoltaic power station grid-connected control method based on state parameter identification |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102013701A (en) * | 2010-12-06 | 2011-04-13 | 青海电力科学试验研究院 | Method for calculating photovoltaic power generation accepting capability of power grid of high-altitude region |
CN103701152A (en) * | 2014-01-15 | 2014-04-02 | 国家电网公司 | Method and system for obtaining flicker transmission coefficient of grid connection of photovoltaic power stations |
CN103825279A (en) * | 2014-02-21 | 2014-05-28 | 华南理工大学 | Micro-grid system voltage stability control method based on robust control |
CN105184027A (en) * | 2015-10-29 | 2015-12-23 | 山东大学 | Power load modeling method based on interactive multi-model algorithm |
-
2017
- 2017-09-30 CN CN201710916703.2A patent/CN107657346B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102013701A (en) * | 2010-12-06 | 2011-04-13 | 青海电力科学试验研究院 | Method for calculating photovoltaic power generation accepting capability of power grid of high-altitude region |
CN103701152A (en) * | 2014-01-15 | 2014-04-02 | 国家电网公司 | Method and system for obtaining flicker transmission coefficient of grid connection of photovoltaic power stations |
CN103825279A (en) * | 2014-02-21 | 2014-05-28 | 华南理工大学 | Micro-grid system voltage stability control method based on robust control |
CN105184027A (en) * | 2015-10-29 | 2015-12-23 | 山东大学 | Power load modeling method based on interactive multi-model algorithm |
Non-Patent Citations (2)
Title |
---|
WILLIS E. M 等: "Observations of Transient ISS Floating Potential Variations during High Voltage Solar Array Operations", 《AMERICAN INSTITUTE OF AERONAUTICS AND ASTRONAUTICS》 * |
王强钢: "分布式发电接入电网故障穿越控制及短路电流计算方法", 《中国博士学位论文全文数据库 工程科技Ⅱ辑》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113497457A (en) * | 2021-08-13 | 2021-10-12 | 国网天津市电力公司 | Photovoltaic power station grid-connected control method based on state parameter identification |
CN113497457B (en) * | 2021-08-13 | 2022-06-10 | 国网天津市电力公司 | Photovoltaic power station grid-connected control method based on state parameter identification |
Also Published As
Publication number | Publication date |
---|---|
CN107657346B (en) | 2020-12-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Rahman et al. | Advances in solar photovoltaic power plants | |
Wang et al. | High-accuracy maximum power point estimation for photovoltaic arrays | |
Sapaev et al. | Matlab-model of a solar photovoltaic station integrated with a local electrical network | |
Wang et al. | A novel method for the determination of dynamic resistance for photovoltaic modules | |
Aldwane | Modeling, simulation and parameters estimation for Photovoltaic module | |
Saidi et al. | Transient Stability Analysis of Photovoltaic System with Experimental Shading Effects. | |
CN103995559B (en) | A kind ofly determine voltage MPPT control method and system based on environment parameter model | |
CN104978481B (en) | A kind of actual-measurement modeling method of photovoltaic plant machine-electricity transient model | |
Atyia et al. | Evaluating the Impact of Weather Conditions on the Effectiveness and Performance of PV Solar Systems and Inverters | |
Anku et al. | A model for photovoltaic module optimisation | |
CN107657346A (en) | Photovoltaic plant time transient potential parameter prediction method | |
Lodhi et al. | Modelling and experimental characteristics of photovoltaic modules in typical days at an actual photovoltaic power station | |
Jia et al. | 3-D modeling of luminescent coupling effects in multijunction concentrator solar cells | |
Chukwuka et al. | Technical and economic modeling of the 2.5 kW grid-tie residential photovoltaic system | |
Yadav et al. | Comparative study of MPPT techniques for solar PV-based system | |
Simeon et al. | Impacts of increased integration of Wind and Solar generators on the Namibian grid power losses | |
Yi et al. | Simulation study on characteristics of photovoltaic array under partial shading | |
Lin et al. | Hierarchical development of photovoltaic (PV) Simulation for PV System with Commercial PV Modules | |
Umar et al. | Parasitic resistance calculation of PV module at various irradiance based on three condition Lambert-W | |
CN107968427A (en) | Coupling model construction method is unified in multiple-energy-source electric system based on equivalent source | |
CN202424198U (en) | Sunlight automatic sensing system for grid-connected inverter | |
Fialho | Photovoltaic generation with energy storage integrated into the electric grid: Modelling, simulation and experimentation | |
Tai et al. | Influence of local shadow on output of photovoltaic array | |
Rusina et al. | PSCAD as a tool for development of a simulation model for a power system with renewable energy sources | |
Kollros | Simulation and operational modes of a plug and play storage for photovoltaic power |
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 |