CN107734020A - A kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions - Google Patents
A kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H02J13/0017—
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
- H04L47/80—Actions related to the user profile or the type of traffic
- H04L47/805—QOS or priority aware
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- 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
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B10/00—Integration of renewable energy sources in buildings
- Y02B10/10—Photovoltaic [PV]
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- 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
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- 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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
- Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
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Abstract
The present invention provides a kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions, is related to dispatching of power netwoks field.A kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions, by analyzing and calculating the parameter for influenceing data priority and being classified, an initial dynamic priority for photo-voltaic power generation station data then is described with function.The ambient parameter of data transfer is influenceed with reference to each photo-voltaic power generation station and generated output coefficient builds optimum distribution function, and sets suitable priority threshold value.By the optimum allocation functional value of data transfer compared with priority threshold value setting value, the classification of priority is completed, final realize is distributed the priority of the overall data of each photo-voltaic power generation station.The coordinated operation method of multiple photo-voltaic power generation station data transfer congestions provided by the invention, make the high priority data processing that priority is high, solve the problems, such as data congestion, improve the utilization ratio and processing speed of the information data to each photo-voltaic power generation station.
Description
Technical field
The present invention relates to dispatching of power netwoks technical field, more particularly to a kind of association of multiple photo-voltaic power generation station data transfer congestions
Adjust operation method.
Background technology
At present, with the gradual heating of environmental protection topic, the key project for being developed into energy development of new energy, too
Sun can be as the new energy most represented, it has also become the strategic emphasis of energy development.In the safe operation system of power network, photovoltaic
Power station, which should possess to electric power system dispatching end, transmits distal information, uploads the photovoltaic power generation power prediction ginseng in photo-voltaic power generation station
Number, quality of power supply information, Intensity of the sunlight, solar incident angle degree, the setting angle of photovoltaic array, conversion efficiency, atmospheric pressure,
The ambient parameters such as temperature and some enchancement factor parameters.Then receive the scheduling of power system, perform electric power system dispatching and pass
The active reactive control sent.But photovoltaic has intermittent and unstability as generation of electricity by new energy, its accurate prediction
With certain difficulty, the intelligent control to dispatching of power netwoks also brings difficulty, particularly in multiple photovoltaic plant data transfers.
Therefore the scheduling research to photovoltaic system in power network is most important.
Large-scale photovoltaic parallel in system has been widely applied at present.In existing dispatching of power netwoks, shift to an earlier date mostly
The power output of solar energy power generating is predicted, dispatching of power netwoks department carries out Coordinated Economy according to output power curve.
In each photovoltaic plant simultaneous transmission parameter information, it may occur that not in time, important parameter preferential can not obtain everywhere for information processing
Reason, produces " congestion " problem of data, solves this problem, can effectively improve to each photovoltaic plant data utilization ratio
And processing speed.
The content of the invention
The defects of for prior art, the present invention provide a kind of coordinated operation of multiple photo-voltaic power generation station data transfer congestions
Method, solves the problems, such as the data congestion occurred during scheduling.
A kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions, comprises the following steps:
Step 1:According to the actual motion state of different photo-voltaic power generation stations, specific dynamic property, local geographical conditions,
Using photo-voltaic power generation station to the data that control centre is transmitted as foundation, choosing, which influences the parameter of photo-voltaic power generation station priority classification, refers to
Mark;
Selected parameter index includes, geographic distance L of each photo-voltaic power generation station apart from control stationi, each photo-voltaic power generation station
Generated output FACTOR Pi, power quality index Zi, transmission data accuracy index Ci, photovoltaic cell plate array setting angle
θi, photovoltaic battery panel unit area conversion efficiency χi, photovoltaic battery panel mean temperature Tbi, each photo-voltaic power generation station location it is big
Air pressure qi, environment temperature TriWith Intensity of the sunlight Ii, wherein i=1,2....n are i-th of photo-voltaic power generation station, n for need into
The photo-voltaic power generation station sum of row major level classification;
Step 2:Obtain and describe the dynamic change of each photo-voltaic power generation station initial priority and be different from time tranfer data
The initial priority function U of relation between urgency leveli, and judge each process initial priority function UiWhether zero is more than, if
More than zero execution step 3, otherwise stops to initial priority function UiPhoto-voltaic power generation station information data less than or equal to zero
Processing;
Describe each photo-voltaic power generation station initial priority dynamic change be different from time tranfer data urgency level it
Between relation initial priority function Ui, calculation formula is as follows:
In formula, Δ t is the time interval of the adjacent data transfer twice of i-th of photo-voltaic power generation station;T is scheduled in control centre
All photo-voltaic power generation stations be fully completed time of data transfer a cycle, α and β be respectively each photovoltaic plant on the time and
The decay factor of distance, the < β < 1 of 0 < α < 1,0.
Step 3:By the generated output FACTOR P of each photo-voltaic power generation stationi, environmental change factor ηi, power quality index ZiAnd biography
Transmission of data accuracy index Ci, calculate initial priority function UiThe synthesis initial priority system of each photo-voltaic power generation station more than zero
Number Ki;
The generated output FACTOR P of each photo-voltaic power generation stationi, according to the actual generation power P of each photovoltaic plantiW, intensity of illumination
Ii, photo-voltaic power supply conversion efficiency XiWith environment temperature TriIt is calculated, calculation formula is as follows:
Wherein, ki1、ki2、ki3Respectively reflect intensity of illumination, photo-voltaic power supply conversion efficiency and environment temperature to i-th of light
Lie prostrate the weight coefficient of power station influence degree, PiNFor the rated generation power of i-th of photo-voltaic power generation station, PiWSent out for i-th of photovoltaic
The actual generation power in power station, its calculation formula are shown below:
PiW=XiSiIi[1-0.0046(Tri+18)]
In formula, SiFor the gross area of i-th of photo-voltaic power generation station cell panel.
The environmental change factor η of each photo-voltaic power generation stationi, according to the setting angle θ of the photovoltaic array of each photo-voltaic power generation stationi, turn
Change efficiency χi, atmospheric pressure qi, environment temperature TriWith photovoltaic battery panel mean temperature TbiIt is calculated, calculation formula is as follows:
Wherein, ηiFor the environmental change factor of i-th of photo-voltaic power generation station.
According to the generated output FACTOR P for each photo-voltaic power generation station being calculatedi, environmental change factor ηiAnd the quality of power supply refers to
Mark ZiWith transmission data accuracy index CiObtain the synthesis initial priority COEFFICIENT K of each photo-voltaic power generation stationi, its calculation formula is such as
Shown in lower:
Step 4:By each photovoltaic hair in the priority dynamic change function U of each photo-voltaic power generation station foundation in step 2 and step 3
The synthesis initial priority COEFFICIENT K in power stationi, and environmental change factor ηiTo initial priority function UiEach photovoltaic more than zero
Scheduling optimum allocation function Q is established in power stationi, scheduling optimum allocation function QiIt is shown below:
In formula,The period of scheduling is realized for control station, σ is data transfer adjustment factor;
Step 5:The scheduling optimum allocation function Q established according to each photo-voltaic power generation stationi, to initial priority function UiIt is more than
The data message of zero each photo-voltaic power generation station carries out United Dispatching, and specific method is:
Step 5.1:Receive the information data that each photo-voltaic power generation station is sent, use scheduling optimum allocation function QiCalculate each letter
Cease the priority of data;
Step 5.2:The historical data transmitted according to each photovoltaic plant, a priority threshold value W is set, by each photovoltaic generation
The optimal function Q to standiValue is compared with priority threshold value W span, if photo-voltaic power generation station information data is optimal
Partition function QiThe information data of the photo-voltaic power generation station is then placed in high priority by value in priority threshold value W span
Sequence;If the optimum allocation function Q of photo-voltaic power generation station information dataiMinimum value of the value less than priority threshold value W, then by the photovoltaic
The information data in power station is placed in low priority sequence;If the optimum allocation function Q of photo-voltaic power generation station information dataiValue is more than excellent
First level threshold value W maximum, then be placed in middle priority sequence by the information data of the photo-voltaic power generation station;
Priority hierarchical sequence is represented with Y, then the expression formula of photo-voltaic power generation station priority hierarchical sequence is:
Step 5.3:By the data message of each photo-voltaic power generation station according to priority order of classification, realize to each photo-voltaic power generation station
Data message carry out United Dispatching.
As shown from the above technical solution, the beneficial effects of the present invention are:A kind of multiple photovoltaic generations provided by the invention
The coordinated operation method of data transfer of standing congestion, according to the wind power factor, quality of power supply factor, power of each photo-voltaic power generation station
Accurate these of prediction influence to calculate the factor for influenceing dispatching priority.Each light is described by establishing initial priority function
The relation of the initial priority in power station and different time transmission data is lied prostrate, with reference to known variable to influenceing final priority
Parameter is calculated, and is prepared to establish data processing priority mathematical modeling, by further building final priority letter
Several mathematical modelings, obtain the relative importance value classification of each photo-voltaic power generation station data.Finally built by variable of different photovoltaic plants
Object function, transmitted according to the optimization coordination approach processing data of design, make the high priority data processing that priority is high, solve more
The congestion problems of individual photovoltaic plant in the data transmission, improve to the utilization ratio of the information data of each photo-voltaic power generation station and
Processing speed.
Brief description of the drawings
Fig. 1 is a kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions provided in an embodiment of the present invention
Flow chart.
Embodiment
With reference to the accompanying drawings and examples, the embodiment of the present invention is described in further detail.Implement below
Example is used to illustrate the present invention, but is not limited to the scope of the present invention.
A kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions, as shown in figure 1, specific steps:
Step 1:According to the actual motion state of different photo-voltaic power generation stations, specific dynamic property, local geographical conditions,
Using photo-voltaic power generation station to the data that control centre is transmitted as foundation, choosing, which influences the parameter of photo-voltaic power generation station priority classification, refers to
Mark;
Selected parameter index includes, geographic distance L of each photo-voltaic power generation station apart from control stationi, each photo-voltaic power generation station
Generated output FACTOR Pi, power quality index Zi, transmission data accuracy index Ci, photovoltaic cell plate array setting angle
θi, photovoltaic battery panel unit area conversion efficiency χi, photovoltaic battery panel mean temperature Tbi, each photo-voltaic power generation station location it is big
Air pressure qi, environment temperature TriWith Intensity of the sunlight Ii, wherein i=1,2....n are i-th of photo-voltaic power generation station, n for need into
The photo-voltaic power generation station sum of row major level classification;
The present embodiment to three photo-voltaic power generation stations of one control station in somewhere scheduling, in March, 2016 by 2016 6 month in and month out
The data of part are collected and detected, and obtain influenceing the parameter index of photo-voltaic power generation station priority classification.First photovoltaic generation
Geographic distance L of the stop spacing from control station1=20km, photo-voltaic power generation station power quality index Z1=8, the accuracy for transmitting data refers to
Mark C1=12.5, average Intensity of the sunlight I1=550km/m2, the setting angle θ of photovoltaic cell plate arrayi=45 °, unit plane
Product photovoltaic battery panel conversion efficiency χ1=12%, atmospheric pressure q1=101kp, environment temperature Tr1=23 DEG C, photovoltaic battery panel it is average
Temperature Tb1=26 DEG C;Geographic distance L of second photo-voltaic power generation station apart from control station1=38km, the photo-voltaic power generation station quality of power supply
Index Z2=10, photo-voltaic power generation station transmits the accuracy index C of data2=15, the average Intensity of the sunlight I of photo-voltaic power generation station2
=500km/m2, the setting angle θ of photovoltaic cell plate array2=40 °, unit area photovoltaic battery panel conversion efficiency χ2=10%,
Atmospheric pressure q2=101kp, environment temperature Tr2=21 DEG C, photovoltaic battery panel mean temperature Tb2=25 DEG C;3rd photo-voltaic power generation station
Geographic distance L apart from control station3=40km, photo-voltaic power generation station power quality index Z3=8, photo-voltaic power generation station transmission data
Accuracy index C3=13.5, the average Intensity of the sunlight I of photo-voltaic power generation station3=450km/m2, the peace of photovoltaic cell plate array
Fill angle, θ3=35 °, unit area photovoltaic battery panel conversion efficiency χ3=11%, atmospheric pressure q3=100kp, environment temperature Tr3=
24 DEG C, photovoltaic battery panel mean temperature Tb2=27 DEG C.
Step 2:Obtain and describe the dynamic change of each photo-voltaic power generation station initial priority and be different from time tranfer data
The initial priority function U of relation between urgency leveli, and judge each process initial priority function UiWhether zero is more than, if
More than zero execution step 3, otherwise stops to initial priority function UiPhoto-voltaic power generation station information data less than or equal to zero
Processing;
Initial priority function UiCalculation formula be shown below:
In formula, Δ t is the time interval of the adjacent data transfer twice of i-th of photo-voltaic power generation station;T is scheduled in control centre
All photo-voltaic power generation stations be fully completed time of data transfer a cycle, α and β be respectively each photovoltaic plant on the time and
The decay factor of distance, the < β < 1 of 0 < α < 1,0;
In the present embodiment, the adjacent data twice of First photovoltaic plant are obtained according to the data acquisition platform of photovoltaic plant and passed
Defeated time interval Δ t1=0.5s, the time interval Δ t of the adjacent data transfer twice of second photovoltaic plant2=0.3s, the 3rd
The time interval Δ t of the adjacent data transfer twice of seat photovoltaic plant3=0.8s, three photo-voltaic power generation stations are fully completed data transfer
A cycle T=5s.The attenuation factor and β of time and distance take α=0.67, β=0.77 respectively.Three light are calculated
Volt power station initial priority functional value be respectively:U1=19.33375, U1=25.37556, U1=20.12778.This implementation
In example, the initial priority functional value U for three photo-voltaic power generation stations being calculated1、U2、U3Be all higher than zero, be required to logarithm it is believed that
Breath carries out United Dispatching.
Step 3:By the generated output FACTOR P of each photo-voltaic power generation stationi, environmental change factor ηi, power quality index ZiAnd biography
Transmission of data accuracy index CiCalculate initial priority function UiThe synthesis initial priority coefficient of each photo-voltaic power generation station more than zero
Ki, specific method is:
The generated output FACTOR P of each photo-voltaic power generation stationiCalculation formula it is as follows:
Wherein, ki1、ki2、ki3Intensity of illumination, photo-voltaic power supply conversion efficiency and environment temperature are respectively reacted to i-th of light
Lie prostrate the weight coefficient of power station influence degree, PiNFor the rated generation power of i-th of photo-voltaic power generation station, PiWSent out for i-th of photovoltaic
The actual generation power in power station, its calculation formula are as follows:
PiW=XiSiIi[1-0.0046(Tri+18)]
In formula, SiFor the gross area of i-th of photo-voltaic power generation station cell panel;
In the present embodiment, the gross area of three photo-voltaic power generation station cell panels is respectively:S1=2200m2, S2=2800m2, S3
=2400m2, calculate the generated outputs of three photo-voltaic power generation stations is respectively:P1W=830KW, P2W=1560KW, P3W=
890KW。
In the present embodiment, the rated generation power of three photo-voltaic power generation stations is respectively:P1N=1000KW, P2N=1800KW,
P3N=1300KW;The weight coefficient of First photo-voltaic power generation station is respectively:k11=15, k12=10, k13=20;Second photovoltaic
The weight coefficient in power station is respectively:k21=24, k22=18, k23=10;The weight coefficient difference of 3rd photo-voltaic power generation station
For:k21=17, k22=18, k23=27.According to calculating, the generated output coefficient of each photo-voltaic power generation station is respectively:P1=
132.99, P2=148.84, P3=124.68.
The environmental change factor η of each photo-voltaic power generation stationiCalculation formula, calculation formula is as follows:
Wherein, ηiFor the environmental change factor of i-th of photo-voltaic power generation station;
In the present embodiment, calculated according to the formula and data that provide, the environmental change factor difference of each photo-voltaic power generation station
For:η1=25.66, η2=31.05, η3=18.29.
The synthesis initial priority COEFFICIENT K of each photo-voltaic power generation stationiCalculation formula it is as follows:
In the present embodiment, calculate the environmental change factor of photo-voltaic power generation station is K1=15.88, K2=20.55, K3=
22.58。
Step 4:By the priority dynamic change function U that each photo-voltaic power generation station is established in step 2iWith each photovoltaic in step 3
The synthesis initial priority COEFFICIENT K in power stationi, and environmental change factor ηiTo initial priority function UiEach light more than zero
Lie prostrate power station and establish scheduling optimum allocation function Qi, scheduling optimum allocation function QiIt is shown below:
In formula,The period of scheduling is realized for control station, σ is data transfer adjustment factor;
In the present embodiment, according to the period of data acquisition, H values are 2.5, data transfer adjustment factor σ=0.6.Through
Cross and the scheduling optimum allocation functional value of each photo-voltaic power generation station is calculated is respectively:Q1=58, Q2=75, Q3=81.
Step 5:The scheduling optimum allocation function Q established according to each photo-voltaic power generation stationi, to initial priority function UiIt is more than
The data message of zero each photo-voltaic power generation station carries out United Dispatching, and specific method is:
Step 5.1:Receive the information data that each photo-voltaic power generation station is sent, use scheduling optimum allocation function QiAnalysis calculates
The priority of each information data;
Step 5.2:The historical data transmitted according to each photovoltaic plant, a priority threshold value W is set, by each photovoltaic generation
The optimal function Q to standiValue is compared with priority threshold value W span, if photo-voltaic power generation station information data is optimal
Partition function QiThe information data of the photo-voltaic power generation station is then placed in high priority by value in priority threshold value W span
Sequence;If the optimum allocation function Q of photo-voltaic power generation station information dataiMinimum value of the value less than priority threshold value W, then by the photovoltaic
The information data in power station is placed in low priority sequence;If the optimum allocation function Q of photo-voltaic power generation station information dataiValue is more than excellent
First level threshold value W maximum, then be placed in middle priority sequence by the information data of the photo-voltaic power generation station;
Priority hierarchical sequence is represented with Y, then the expression formula of photo-voltaic power generation station priority hierarchical sequence is:
Step 5.3:By the data message of each photo-voltaic power generation station according to priority order of classification, realize to each photo-voltaic power generation station
Data message carry out United Dispatching.
The present embodiment sets priority threshold value as 50≤W≤80, and expression formula is classified according to the photovoltaic plant priority provided,The priority for drawing First photo-voltaic power generation station is Y2, second photovoltaic generation
The priority stood is Y1, the priority of the 3rd photo-voltaic power generation station is Y3.It is last to be classified according to the priority drawn to each power station
It is ranked up, it is second photo-voltaic power generation station-First photovoltaic generation to the order of three photo-voltaic power generation stations to obtain control centre
Stand-the three photo-voltaic power generation station.
Finally it should be noted that:Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations;To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that:Its according to
The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered
Row equivalent substitution;And these modifications or replacement, the essence of appropriate technical solution is departed from the claims in the present invention and limited
Fixed scope.
Claims (4)
- A kind of 1. coordinated operation method of multiple photo-voltaic power generation station data transfer congestions, it is characterised in that:Specifically include following step Suddenly:Step 1:According to the actual motion state of different photo-voltaic power generation stations, specific dynamic property, local geographical conditions, with light It is foundation that power station, which is lied prostrate, to the data that control centre is transmitted, and chooses the parameter index for influenceing the classification of photo-voltaic power generation station priority;Selected parameter index includes, geographic distance L of each photo-voltaic power generation station apart from control stationi, the generating work(of each photo-voltaic power generation station Rate coefficient Pi, power quality index Zi, transmission data accuracy index Ci, photovoltaic cell plate array setting angle θi, photovoltaic Cell panel unit area conversion efficiency χi, photovoltaic battery panel mean temperature Tbi, the atmospheric pressure q of each photo-voltaic power generation station locationi、 Environment temperature TriWith Intensity of the sunlight Ii, wherein i=1,2....n are i-th of photo-voltaic power generation station, and n is to need to carry out priority The photo-voltaic power generation station sum of classification;Step 2:Obtain and describe the dynamic change of each photo-voltaic power generation station initial priority and be different from the urgent of time tranfer data The initial priority function U of relation between degreei;Step 3:By the generated output FACTOR P of each photo-voltaic power generation stationi, environmental change factor ηi, power quality index ZiWith transmission number According to accuracy index Ci, calculate the synthesis initial priority COEFFICIENT K of each photo-voltaic power generation stationi, calculation formula is as follows:<mrow> <msub> <mi>K</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msup> <msub> <mi>&eta;</mi> <mi>i</mi> </msub> <mn>2</mn> </msup> <mo>+</mo> <mi>lg</mi> <mi> </mi> <msup> <msub> <mi>P</mi> <mi>i</mi> </msub> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> </msup> <mo>.</mo> <msub> <mi>Z</mi> <mi>i</mi> </msub> <mo>+</mo> <mroot> <msub> <mi>C</mi> <mi>i</mi> </msub> <mn>3</mn> </mroot> </mrow> <msup> <mi>e</mi> <mrow> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>.</mo> <msub> <mi>C</mi> <mi>i</mi> </msub> </mrow> </msup> </mfrac> </mrow>Step 4:By the priority dynamic change function U that each photo-voltaic power generation station is established in step 2iWith each photo-voltaic power generation station in step 3 Synthesis initial priority COEFFICIENT Ki, and environmental change factor ηiScheduling optimum allocation function Q is established to each photo-voltaic power generation stationi, Dispatch optimum allocation function QiIt is shown below:<mrow> <msub> <mi>Q</mi> <mi>i</mi> </msub> <mo>=</mo> <mi>&sigma;</mi> <mo>&CenterDot;</mo> <mfrac> <mrow> <msub> <mi>&eta;</mi> <mi>i</mi> </msub> <mo>.</mo> <msup> <mi>e</mi> <mfrac> <msub> <mi>K</mi> <mi>i</mi> </msub> <mn>100</mn> </mfrac> </msup> </mrow> <mrow> <mn>1</mn> <mo>-</mo> <mi>ln</mi> <mi> </mi> <msub> <mi>K</mi> <mi>i</mi> </msub> </mrow> </mfrac> <mo>&CenterDot;</mo> <mfrac> <mn>3</mn> <mrow> <mi>tan</mi> <mi> </mi> <msub> <mi>&eta;</mi> <mi>i</mi> </msub> </mrow> </mfrac> <msub> <mi>U</mi> <mi>i</mi> </msub> <mo>&CenterDot;</mo> <mi>H</mi> </mrow>In formula,The period of scheduling is realized for control station, σ is data transfer adjustment factor;Step 5:The scheduling optimum allocation function Q established according to each photo-voltaic power generation stationi, to the data message of each photo-voltaic power generation station Uniformly it is scheduled, specific method is:Step 5.1:Receive the information data that each photo-voltaic power generation station is sent, use scheduling optimum allocation function QiCalculate each Information Number According to priority;Step 5.2:The historical data transmitted according to each photovoltaic plant, a priority threshold value W is set, by each photo-voltaic power generation station Optimal function QiValue is compared with priority threshold value W span, if the optimum allocation of photo-voltaic power generation station information data Function QiThe information data of the photo-voltaic power generation station is then placed in high priority sequence by value in priority threshold value W span; If the optimum allocation function Q of photo-voltaic power generation station information dataiMinimum value of the value less than priority threshold value W, then by the photovoltaic generation The information data stood is placed in low priority sequence;If the optimum allocation function Q of photo-voltaic power generation station information dataiValue is more than priority Threshold value W maximum, then the information data of the photo-voltaic power generation station is placed in middle priority sequence;Priority hierarchical sequence is represented with Y, then the expression formula of photo-voltaic power generation station priority hierarchical sequence is:Step 5.3:By the data message of each photo-voltaic power generation station according to priority order of classification, the number to each photo-voltaic power generation station is realized It is believed that breath carries out United Dispatching.
- 2. a kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions according to claim 1, its feature It is:The dynamic change that each photo-voltaic power generation station initial priority is described described in step 2 is different from the urgent of time tranfer data The initial priority function U of relation between degreei, shown in equation below:<mrow> <msub> <mi>U</mi> <mi>i</mi> </msub> <mo>=</mo> <munderover> <mo>&Integral;</mo> <mn>0</mn> <mi>T</mi> </munderover> <mo>&lsqb;</mo> <mfrac> <mrow> <msub> <mi>&alpha;&Delta;t</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>&beta;L</mi> <mi>i</mi> </msub> </mrow> <msub> <mi>L</mi> <mi>i</mi> </msub> </mfrac> <mo>&rsqb;</mo> <mi>d</mi> <mi>t</mi> <mo>+</mo> <msub> <mi>&beta;L</mi> <mi>i</mi> </msub> </mrow>In formula, Δ t is the time interval of the adjacent data transfer twice of i-th of photo-voltaic power generation station;T is the institute scheduled in control centre There is the time that photo-voltaic power generation station is fully completed data transfer a cycle, α and β are respectively each photovoltaic plant on time and distance Decay factor, the < β < 1 of 0 < α < 1,0.
- 3. a kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions according to claim 1, its feature It is:The generated output FACTOR P of each photo-voltaic power generation station described in step 3iAccording to the actual generation power P of each photovoltaic plantiW, illumination Intensity Ii, photo-voltaic power supply conversion efficiency χiWith environment temperature TriIt is calculated, calculation formula is as follows:<mrow> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msub> <mi>k</mi> <mrow> <mi>i</mi> <mn>1</mn> </mrow> </msub> <msub> <mi>I</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>k</mi> <mrow> <mi>i</mi> <mn>2</mn> </mrow> </msub> <msub> <mi>&chi;</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>k</mi> <mrow> <mi>i</mi> <mn>3</mn> </mrow> </msub> <msub> <mi>T</mi> <mrow> <mi>r</mi> <mi>i</mi> </mrow> </msub> </mrow> <mrow> <munderover> <mo>&Sigma;</mo> <mrow> <mi>j</mi> <mo>=</mo> <mn>1</mn> </mrow> <mn>3</mn> </munderover> <msub> <mi>k</mi> <mrow> <mi>i</mi> <mi>j</mi> </mrow> </msub> </mrow> </mfrac> <mo>&times;</mo> <mfrac> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>W</mi> </mrow> </msub> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mi>N</mi> </mrow> </msub> </mfrac> </mrow>Wherein, ki1、ki2、ki3Intensity of illumination, photo-voltaic power supply conversion efficiency and environment temperature is respectively reacted to send out i-th of photovoltaic The weight coefficient of power station influence degree, PiNFor the rated generation power of i-th of photo-voltaic power generation station, PiWFor i-th of photo-voltaic power generation station Actual generation power, its calculation formula is shown below:PiW=χiSiIi[1-0.0046(Tri+18)]In formula, SiFor the gross area of i-th of photo-voltaic power generation station cell panel.
- 4. a kind of coordinated operation method of multiple photo-voltaic power generation station data transfer congestions according to claim 1, its feature It is:The environmental change factor η of each photo-voltaic power generation station described in step 3iAccording to the established angle of the photovoltaic array of each photo-voltaic power generation station Spend θi, conversion efficiency χi, atmospheric pressure qi, environment temperature TriWith photovoltaic battery panel mean temperature TbiIt is calculated, calculation formula is such as Under:<mrow> <msub> <mi>&eta;</mi> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <msub> <mi>I</mi> <mi>i</mi> </msub> <mn>2</mn> </mfrac> <mi>arctan</mi> <mi> </mi> <msub> <mi>T</mi> <mrow> <mi>r</mi> <mi>i</mi> </mrow> </msub> <mo>+</mo> <msup> <mi>e</mi> <mfrac> <msub> <mi>&theta;</mi> <mi>i</mi> </msub> <mn>20</mn> </mfrac> </msup> <mo>&CenterDot;</mo> <msub> <mi>&chi;</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>q</mi> <mi>i</mi> </msub> <mo>+</mo> <mi>a</mi> <mi>r</mi> <mi>c</mi> <mi> </mi> <mi>s</mi> <mi>i</mi> <mi>n</mi> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mrow> <mi>r</mi> <mi>i</mi> </mrow> </msub> <msub> <mi>T</mi> <mrow> <mi>b</mi> <mi>i</mi> </mrow> </msub> <mo>)</mo> </mrow> </mrow>Wherein, ηiFor the environmental change factor of i-th of photo-voltaic power generation station.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109256770A (en) * | 2018-10-08 | 2019-01-22 | 清华大学 | A kind of Distributed power net jamming control method based on Demand Side Response |
CN109612038A (en) * | 2018-11-23 | 2019-04-12 | 珠海格力电器股份有限公司 | Air conditioner parameter processing method and device, computer equipment and storage medium |
CN111628492A (en) * | 2020-04-13 | 2020-09-04 | 四川大学 | Power grid blocking management and control method with cooperation of high-voltage distribution network partition reconstruction and energy storage |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102072104A (en) * | 2010-11-25 | 2011-05-25 | 严政 | Large jet turbocharged generating system |
WO2011066121A1 (en) * | 2009-11-25 | 2011-06-03 | American Superconductor Corporation | Reducing photovoltaic array voltage during inverter re-enablement |
CN103545848A (en) * | 2013-10-16 | 2014-01-29 | 国家电网公司 | Coordinated control method for active power of photovoltaic power station group |
CN105162132A (en) * | 2015-08-20 | 2015-12-16 | 国家电网公司 | Adjustment method for removing main transformer-crossing reactive circular power flow of photovoltaic power station |
CN105226715A (en) * | 2015-11-05 | 2016-01-06 | 国家电网公司 | A kind of stage photovoltaic single grid-connection control system improving frequency dynamic response |
CN105337415A (en) * | 2015-11-18 | 2016-02-17 | 深圳合纵能源技术有限公司 | Regional power grid dispatching system and method based on prediction control |
CN105914886A (en) * | 2016-05-18 | 2016-08-31 | 李宁 | Distributed energy cloud networking intelligent control method and system |
WO2017062913A1 (en) * | 2015-10-08 | 2017-04-13 | Johnson Controls Technology Company | Photovoltaic energy system with preemptive ramp rate control |
-
2017
- 2017-09-30 CN CN201710916626.0A patent/CN107734020B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011066121A1 (en) * | 2009-11-25 | 2011-06-03 | American Superconductor Corporation | Reducing photovoltaic array voltage during inverter re-enablement |
CN102072104A (en) * | 2010-11-25 | 2011-05-25 | 严政 | Large jet turbocharged generating system |
CN103545848A (en) * | 2013-10-16 | 2014-01-29 | 国家电网公司 | Coordinated control method for active power of photovoltaic power station group |
CN105162132A (en) * | 2015-08-20 | 2015-12-16 | 国家电网公司 | Adjustment method for removing main transformer-crossing reactive circular power flow of photovoltaic power station |
WO2017062913A1 (en) * | 2015-10-08 | 2017-04-13 | Johnson Controls Technology Company | Photovoltaic energy system with preemptive ramp rate control |
CN105226715A (en) * | 2015-11-05 | 2016-01-06 | 国家电网公司 | A kind of stage photovoltaic single grid-connection control system improving frequency dynamic response |
CN105337415A (en) * | 2015-11-18 | 2016-02-17 | 深圳合纵能源技术有限公司 | Regional power grid dispatching system and method based on prediction control |
CN105914886A (en) * | 2016-05-18 | 2016-08-31 | 李宁 | Distributed energy cloud networking intelligent control method and system |
Non-Patent Citations (1)
Title |
---|
林松辉: "光伏发电站电能质量状况分析", 《中国高新技术企业》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109256770A (en) * | 2018-10-08 | 2019-01-22 | 清华大学 | A kind of Distributed power net jamming control method based on Demand Side Response |
CN109612038A (en) * | 2018-11-23 | 2019-04-12 | 珠海格力电器股份有限公司 | Air conditioner parameter processing method and device, computer equipment and storage medium |
CN111628492A (en) * | 2020-04-13 | 2020-09-04 | 四川大学 | Power grid blocking management and control method with cooperation of high-voltage distribution network partition reconstruction and energy storage |
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