CN107734020B - Coordinated operation method for data transmission congestion of multiple photovoltaic power stations - Google Patents

Coordinated operation method for data transmission congestion of multiple photovoltaic power stations Download PDF

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CN107734020B
CN107734020B CN201710916626.0A CN201710916626A CN107734020B CN 107734020 B CN107734020 B CN 107734020B CN 201710916626 A CN201710916626 A CN 201710916626A CN 107734020 B CN107734020 B CN 107734020B
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photovoltaic power
power station
priority
data
photovoltaic
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CN107734020A (en
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李春来
杨金路
滕云
左浩
张海宁
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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    • 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
    • H02J13/0017—
    • H02J3/383—
    • 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
    • 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
    • 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]
    • 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
    • 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
    • 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 invention provides a coordinated operation method for data transmission congestion of a plurality of photovoltaic power stations, and relates to the field of power grid dispatching. A coordinated operation method for data transmission congestion of a plurality of photovoltaic power stations comprises the steps of analyzing and calculating parameters influencing data priority grading, and then describing initial dynamic priorities of data of the photovoltaic power stations by using functions. And (3) constructing an optimized distribution function by combining the environmental parameters influencing data transmission of each photovoltaic power station and the power generation power coefficient, and setting a proper priority threshold. And the optimal distribution function value of data transmission is compared with the priority threshold value set value to complete the classification of the priority, and finally, the priority distribution of the overall data of each photovoltaic power station is realized. According to the coordinated operation method for data transmission congestion of the photovoltaic power stations, provided by the invention, data with high priority can be processed preferentially, the problem of data congestion is solved, and the utilization efficiency and the processing speed of information data of each photovoltaic power station are improved.

Description

Coordinated operation method for data transmission congestion of multiple photovoltaic power stations
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to a coordinated operation method for data transmission congestion of a plurality of photovoltaic power stations.
Background
At present, with the gradual increase of the environmental protection topic, the development of new energy becomes a key project of energy development, and solar energy, as the most representative new energy, has become a strategic focus of energy development. In a safe operation system of a power grid, a photovoltaic power station transmits remote information to a power system dispatching end, and uploads photovoltaic power generation power prediction parameters, electric energy quality information, environmental parameters such as solar illumination intensity, solar incident angle, installation angle of a photovoltaic array, conversion efficiency, atmospheric pressure, temperature and the like in the photovoltaic power station and random factor parameters. And then receiving the dispatching of the power system, and executing active and reactive power control of dispatching and transmitting of the power system. However, solar photovoltaic is intermittent and unstable as a new energy source, accurate prediction of the solar photovoltaic is difficult, and difficulty is brought to intelligent control of power grid dispatching, especially data transmission of a plurality of photovoltaic power stations. Therefore, the method is of great importance for scheduling research of the photovoltaic system in the power grid.
At present, a large-scale photovoltaic grid-connected system is widely applied. In the existing power grid dispatching, the output power of solar photovoltaic power generation is mostly predicted in advance, and a power grid dispatching department coordinates and plans according to an output power curve. When parameter information is transmitted at each photovoltaic power station simultaneously, the situation that information processing is not timely occurs, important parameters cannot be processed preferentially, and the problem of data congestion is solved.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a coordinated operation method for data transmission congestion of a plurality of photovoltaic power stations, and the problem of data congestion during scheduling is solved.
A coordinated operation method for data transmission congestion of a plurality of photovoltaic power stations comprises the following steps:
step 1: according to actual running states, specific dynamic performance and local geographical conditions of different photovoltaic power stations, selecting parameter indexes influencing priority grading of the photovoltaic power stations on the basis of data transmitted to a dispatching center by the photovoltaic power stations;
the selected parameter index comprises the geographical distance L between each photovoltaic power station and the dispatching stationiPower generation coefficient P of each photovoltaic power stationiElectric energy quality index ZiAccuracy index C of transmitted dataiMounting angle theta of photovoltaic cell panel arrayiPhotovoltaic cell panel unit area conversion efficiency xiAverage temperature T of photovoltaic cell panelbiAtmospheric pressure q of the area of each photovoltaic power plantiAmbient temperature TriAnd intensity of solar radiation IiN is the ith photovoltaic power station, and n is the total number of the photovoltaic power stations needing priority grading;
step 2: determining an initial priority function U describing the relationship between the dynamic change of the initial priority of each photovoltaic power station and the urgency of data transmission at different timesiAnd judging the initial priority function U of each processiIf the value is greater than zero, executing the step 3 if the value is greater than zero, otherwise stopping the initial priority function UiProcessing photovoltaic power station information data smaller than or equal to zero;
initial priority function U describing relation between dynamic change of initial priority of each photovoltaic power station and urgency degree of data transmitted at different times of each photovoltaic power stationiThe calculation formula is as follows:
Figure GDA0002432313110000021
in the formula, △ tiT is the time when all the photovoltaic power stations scheduled by the scheduling center complete data transmission for one period, α and β are attenuation factors of each photovoltaic power station with respect to time and distance respectively, 0<α<1，0<β<1。
And step 3: the power generation power coefficient P of each photovoltaic power stationiEnvironmental change factor ηiElectric energy quality index ZiAnd a transmitted data accuracy index CiCalculating an initial priority function UiComprehensive initial priority coefficient K of photovoltaic power stations larger than zeroi；
Generated power coefficient P of each photovoltaic power stationiAccording to the actual generated power P of each photovoltaic power stationiWLight intensity IiPhotovoltaic power conversion efficiency xiAnd the ambient temperature TriCalculated, the calculation formula is as follows:
Figure GDA0002432313110000022
wherein k isi1、ki2、ki3Respectively representing the weight coefficients, P, of the influence degrees of the illumination intensity, the photovoltaic power conversion efficiency and the environmental temperature on the ith photovoltaic power stationiNRated power generation power, P, for the ith photovoltaic power plantiWThe calculation formula is the actual generated power of the ith photovoltaic power station and is shown as the following formula:
PiW＝χiSiIi[1-0.0046(Tri+18)]
in the formula, SiIs the total area of the panel of the ith photovoltaic power plant.
Environmental change factor η for each photovoltaic power plantiAccording to the installation angle theta of the photovoltaic array of each photovoltaic power stationiConversion efficiency chiiAtmospheric pressure qiAmbient temperature TriAnd average temperature T of photovoltaic panelbiAnd calculating according to the following formula:
Figure GDA0002432313110000031
wherein, ηiIs the environmental change factor of the ith photovoltaic power plant.
According to the calculated power generation power coefficient P of each photovoltaic power stationiEnvironmental change factor ηiAnd electric energy quality index ZiAnd a transmitted data accuracy index CiObtaining the comprehensive initial priority coefficient K of each photovoltaic power stationiThe calculation formula is as follows:
Figure GDA0002432313110000032
and 4, step 4: priority dynamic change function U established by each photovoltaic power station in step 2iAnd step 3, the comprehensive initial priority coefficient K of each photovoltaic power stationiAnd an environmental change factor ηiFor the initial priority function UiEstablishing scheduling optimal distribution function Q of photovoltaic power stations larger than zeroiScheduling an optimal allocation function QiAs shown in the following formula:
Figure GDA0002432313110000033
in the formula (I), the compound is shown in the specification,
Figure GDA0002432313110000034
the time period for realizing scheduling for the scheduling station, wherein sigma is a data transmission adjustment coefficient;
and 5: scheduling optimal distribution function Q established according to each photovoltaic power stationiFor the initial priority function UiThe data information of all the photovoltaic power stations which are larger than zero is uniformly scheduled, and the specific method comprises the following steps:
step 5.1: receiving information data sent by each photovoltaic power station and using scheduling optimal distribution function QiCalculating the priority of each information data；
Step 5.2: setting a priority threshold value W according to historical data transmitted by each photovoltaic power station, and enabling the optimal function Q of each photovoltaic power stationiComparing the value with the value range of the priority threshold value W, and if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is within the value range of the priority threshold value W, placing the information data of the photovoltaic power station in a high-priority sequence; if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is smaller than the minimum value of the priority threshold value W, placing the information data of the photovoltaic power station in a low-priority sequence; if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is larger than the maximum value of the priority threshold value W, placing the information data of the photovoltaic power station in an intermediate priority sequence;
and Y represents a priority ranking sequence, and the expression of the priority ranking sequence of the photovoltaic power station is as follows:
step 5.3: and sorting the data information of each photovoltaic power station according to the priority level, so as to realize the unified scheduling of the data information of each photovoltaic power station.
According to the technical scheme, the invention has the beneficial effects that: according to the coordinated operation method for data transmission congestion of the photovoltaic power stations, factors influencing scheduling priority are calculated according to wind power factors, electric energy quality factors and power prediction of the photovoltaic power stations. The relation between the initial priority of each photovoltaic power station and the transmission data at different time is described by establishing an initial priority function, parameters influencing the final priority are calculated by referring to known variables, preparation is made for establishing a data processing priority mathematical model, and the priority classification of the data of each photovoltaic power station is obtained by further establishing the mathematical model of the final priority function. And finally, different photovoltaic power stations are used as variables to construct an objective function, data transmission is processed according to a designed optimization coordination method, data with high priority are processed preferentially, the problem of congestion of a plurality of photovoltaic power stations in data transmission is solved, and the utilization efficiency and the processing speed of information data of each photovoltaic power station are improved.
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Fig. 1 is a flowchart of a coordinated operation method for data transmission congestion of a plurality of photovoltaic power generation stations according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Step 1: according to actual running states, specific dynamic performance and local geographical conditions of different photovoltaic power stations, selecting parameter indexes influencing priority grading of the photovoltaic power stations on the basis of data transmitted to a dispatching center by the photovoltaic power stations;
the selected parameter index comprises the geographical distance L between each photovoltaic power station and the dispatching stationiPower generation coefficient P of each photovoltaic power stationiElectric energy quality index ZiAccuracy index C of transmitted dataiMounting angle theta of photovoltaic cell panel arrayiPhotovoltaic cell panel unit area conversion efficiency xiAverage temperature T of photovoltaic cell panelbiAtmospheric pressure q of the area of each photovoltaic power plantiAmbient temperature TriAnd intensity of solar radiation IiN is the ith photovoltaic power station, and n is the total number of the photovoltaic power stations needing priority grading;
in this embodiment, data of three photovoltaic power stations scheduled by one scheduling station in a certain area from month 3 in 2016 to month 6 in 2016 are collected and detected, so as to obtain parameter indexes affecting priority classification of the photovoltaic power stations. Geographical distance L between first photovoltaic power station and dispatching station120km, electric energy quality index Z of photovoltaic power station18, accuracy index C of transmitted data112.5, average intensity of sunlight I1＝550km/m2Mounting angle theta of photovoltaic cell panel array145 degrees, conversion efficiency chi of unit area photovoltaic cell board112% of atmospheric pressure q1101kp, ambient temperature Tr123 ℃ and the average temperature T of the photovoltaic cell panelb1The temperature is 26 ℃; geographical distance L between second photovoltaic power station and dispatching station138km, the electric energy quality index Z of the photovoltaic power station210, accuracy index C of data transmitted by photovoltaic power station215 average solar irradiance I of a photovoltaic power plant2＝500km/m2Mounting angle theta of photovoltaic cell panel array240 degrees, photovoltaic cell board conversion efficiency chi of unit area210% of atmospheric pressure q2101kp, ambient temperature Tr2The average temperature T of the photovoltaic cell panel is 21 DEG Cb2Setting the temperature at 25 ℃; geographical distance L of third photovoltaic power station from dispatching station340km, electric energy quality index Z of photovoltaic power station38, accuracy index C of data transmitted by photovoltaic power station313.5 average solar irradiance I of a photovoltaic power plant3＝450km/m2Mounting angle theta of photovoltaic cell panel array335 ═ and conversion efficiency chi of photovoltaic cell panel per unit area311% of atmospheric pressure q3100kp, ambient temperature Tr324 ℃ and the average temperature T of the photovoltaic cell panelb2＝27℃。
Step 2: determining an initial priority function U describing the relationship between the dynamic change of the initial priority of each photovoltaic power station and the urgency of data transmission at different timesiAnd judging the initial priority function U of each processiIf the value is greater than zero, executing the step 3 if the value is greater than zero, otherwise stopping the initial priority function UiProcessing photovoltaic power station information data smaller than or equal to zero;
initial priority function UiThe formula of (c) is shown as follows:
Figure GDA0002432313110000061
in the formula, △ tiIs the time interval of two adjacent data transmissions of the ith photovoltaic power stationT is the time when all the photovoltaic power stations scheduled by the scheduling center complete data transmission for one period, α and β are attenuation factors of the photovoltaic power stations with respect to time and distance respectively, and 0<α<1，0<β<1；
In this embodiment, the time interval △ t between two adjacent data transmissions of the first photovoltaic power station is obtained according to the data acquisition platform of the photovoltaic power station10.5s, the time interval △ t between two adjacent data transmissions of the second photovoltaic power station20.3s, the time interval △ t between two adjacent data transmissions of the third photovoltaic power station3The attenuation factors α and β of time and distance are α to 0.67 and β to 0.77 respectively, and the initial priority function values of the three photovoltaic power stations are calculated to be U1＝19.33375,U1＝25.37556,U120.12778. In this embodiment, the initial priority function values U of the three photovoltaic power stations are obtained by calculation1、U2、U3All are larger than zero, and the data information needs to be uniformly scheduled.
And step 3: the power generation power coefficient P of each photovoltaic power stationiEnvironmental change factor ηiElectric energy quality index ZiAnd a transmitted data accuracy index CiCalculating an initial priority function UiComprehensive initial priority coefficient K of photovoltaic power stations larger than zeroiThe specific method comprises the following steps:
generated power coefficient P of each photovoltaic power stationiThe calculation formula of (a) is as follows:
Figure GDA0002432313110000071
wherein k isi1、ki2、ki3The weighting coefficients, P, respectively reflecting the influence degrees of the illumination intensity, the photovoltaic power conversion efficiency and the ambient temperature on the ith photovoltaic power stationiNRated power generation power, P, for the ith photovoltaic power plantiWThe calculation formula of the actual generated power of the ith photovoltaic power station is as follows:
PiW＝χiSiIi[1-0.0046(Tri+18)]
in the formula, SiThe total area of the solar panel of the ith photovoltaic power station;
in this embodiment, the total area of three photovoltaic power plant panels is respectively: s1＝2200m2，S2＝2800m2，S3＝2400m2Calculating the power generation powers of the three photovoltaic power stations as follows: p1W＝830KW，P2W＝1560KW，P3W＝890KW。
In this embodiment, the rated power generation powers of the three photovoltaic power stations are respectively: p1N＝1000KW，P2N＝1800KW，P3N1300 KW; the weighting coefficients of the first photovoltaic power station are respectively: k is a radical of11＝15，k12＝10，k1320; the weighting coefficients of the second photovoltaic power station are respectively: k is a radical of21＝24，k22＝18，k2310; the weighting coefficients of the third photovoltaic power station are respectively: k is a radical of21＝17，k22＝18，k2327. According to calculation, the power generation power coefficients of the photovoltaic power stations are respectively as follows: p1＝132.99，P2＝148.84，P3＝124.68。
Environmental change factor η for each photovoltaic power plantiThe calculation formula is as follows:
Figure GDA0002432313110000072
wherein, ηiThe environmental change factor of the ith photovoltaic power station;
in the embodiment, the environmental change factors of the photovoltaic power stations are calculated according to the given formula and data and are η1＝25.66，η2＝31.05，η3＝18.29。
Comprehensive initial priority coefficient K of each photovoltaic power stationiThe calculation formula of (a) is as follows:
Figure GDA0002432313110000081
in this embodiment, the environmental change factor of the photovoltaic power plant is calculated as K1＝15.88，K2＝20.55，K3＝22.58。
And 4, step 4: priority dynamic change function U established by each photovoltaic power station in step 2iAnd step 3, the comprehensive initial priority coefficient K of each photovoltaic power stationiAnd an environmental change factor ηiFor the initial priority function UiEstablishing scheduling optimal distribution function Q of photovoltaic power stations larger than zeroiScheduling an optimal allocation function QiAs shown in the following formula:
Figure GDA0002432313110000082
in the formula (I), the compound is shown in the specification,
Figure GDA0002432313110000083
the time period for realizing scheduling for the scheduling station, wherein sigma is a data transmission adjustment coefficient;
in this embodiment, according to the time period of data acquisition, H is 2.5, and the data transmission adjustment coefficient σ is 0.6. The optimal dispatching distribution function values of the photovoltaic power stations are obtained through calculation and are respectively as follows: q1＝58，Q2＝75，Q3＝81。
And 5: scheduling optimal distribution function Q established according to each photovoltaic power stationiFor the initial priority function UiThe data information of all the photovoltaic power stations which are larger than zero is uniformly scheduled, and the specific method comprises the following steps:
step 5.1: receiving information data sent by each photovoltaic power station and using scheduling optimal distribution function QiAnalyzing and calculating the priority of each information data;
step 5.2: setting a priority threshold value W according to historical data transmitted by each photovoltaic power station, and enabling the optimal function Q of each photovoltaic power stationiThe value is compared with the value range of the priority threshold value W, ifOptimal distribution function Q of information data of photovoltaic power stationiIf the value is within the value range of the priority threshold value W, placing the information data of the photovoltaic power station in a high-priority sequence; if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is smaller than the minimum value of the priority threshold value W, placing the information data of the photovoltaic power station in a low-priority sequence; if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is larger than the maximum value of the priority threshold value W, placing the information data of the photovoltaic power station in an intermediate priority sequence;
and Y represents a priority ranking sequence, and the expression of the priority ranking sequence of the photovoltaic power station is as follows:
Figure GDA0002432313110000091
step 5.3: and sorting the data information of each photovoltaic power station according to the priority level, so as to realize the unified scheduling of the data information of each photovoltaic power station.
The present embodiment sets the priority threshold value to 50 ≦ W ≦ 80, and according to the given photovoltaic power plant priority level expression,
Figure GDA0002432313110000092
obtaining the priority of the first photovoltaic power station as Y2The priority of the second photovoltaic power station is Y1The priority of the third photovoltaic power station is Y3. And finally, sequencing the power stations according to the obtained priority levels, wherein the sequence of the obtained scheduling center to the three photovoltaic power stations is a second photovoltaic power station, a first photovoltaic power station and a third photovoltaic power station.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions and scope of the present invention as defined in the appended claims.

Claims (1)

1. A coordinated operation method for data transmission congestion of a plurality of photovoltaic power stations is characterized by comprising the following steps: the method specifically comprises the following steps:
step 1: according to actual running states, specific dynamic performance and local geographical conditions of different photovoltaic power stations, selecting parameter indexes influencing priority grading of the photovoltaic power stations on the basis of data transmitted to a dispatching center by the photovoltaic power stations;
the selected parameter index comprises the geographical distance L between each photovoltaic power station and the dispatching stationiPower generation coefficient P of each photovoltaic power stationiElectric energy quality index ZiAccuracy index C of transmitted dataiMounting angle theta of photovoltaic cell panel arrayiPhotovoltaic cell panel unit area conversion efficiency xiAverage temperature T of photovoltaic cell panelbiAtmospheric pressure q of the area of each photovoltaic power plantiAmbient temperature TriAnd intensity of solar radiation IiN is the ith photovoltaic power station, and n is the total number of the photovoltaic power stations needing priority grading;
step 2: determining an initial priority function U describing the relationship between the dynamic change of the initial priority of each photovoltaic power station and the urgency of data transmission at different timesi；
And step 3: the power generation power coefficient P of each photovoltaic power stationiEnvironmental change factor ηiElectric energy quality index ZiAnd a transmitted data accuracy index CiAnd calculating the comprehensive initial priority coefficient K of each photovoltaic power stationiThe calculation formula is as follows:
Figure FDA0002432313100000011
and 4, step 4: priority dynamic change function U established by each photovoltaic power station in step 2iAnd of the individual photovoltaic power stations in step 3Integrated initial priority coefficient KiAnd an environmental change factor ηiEstablishing optimal dispatching distribution function Q for each photovoltaic power stationiScheduling an optimal allocation function QiAs shown in the following formula:
Figure FDA0002432313100000012
in the formula (I), the compound is shown in the specification,
Figure FDA0002432313100000013
the time period for realizing scheduling for the scheduling station, wherein sigma is a data transmission adjustment coefficient;
and 5: scheduling optimal distribution function Q established according to each photovoltaic power stationiThe method is characterized by uniformly scheduling data information of each photovoltaic power station, and comprises the following specific steps:
step 5.1: receiving information data sent by each photovoltaic power station and using scheduling optimal distribution function QiCalculating the priority of each information data;
step 5.2: setting a priority threshold value W according to historical data transmitted by each photovoltaic power station, and enabling the optimal function Q of each photovoltaic power stationiComparing the value with the value range of the priority threshold value W, and if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is within the value range of the priority threshold value W, placing the information data of the photovoltaic power station in a high-priority sequence; if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is smaller than the minimum value of the priority threshold value W, placing the information data of the photovoltaic power station in a low-priority sequence; if the optimal distribution function Q of the information data of the photovoltaic power stationiIf the value is larger than the maximum value of the priority threshold value W, placing the information data of the photovoltaic power station in an intermediate priority sequence;
and Y represents a priority ranking sequence, and the expression of the priority ranking sequence of the photovoltaic power station is as follows:
Figure FDA0002432313100000021
step 5.3: the data information of each photovoltaic power station is sorted according to priority level, so that the data information of each photovoltaic power station is uniformly scheduled;
step 2, an initial priority function U for describing the relationship between the dynamic change of the initial priority of each photovoltaic power station and the urgency of data transmission at different times of each photovoltaic power stationiThe following formula shows:
Figure FDA0002432313100000022
in the formula, △ tiT is the time when all the photovoltaic power stations scheduled by the scheduling center complete data transmission for one period, α and β are attenuation factors of each photovoltaic power station with respect to time and distance respectively, 0<α<1，0<β<1；
Step 3, generating power coefficient P of each photovoltaic power stationiAccording to the actual generated power P of each photovoltaic power stationiWLight intensity IiPhotovoltaic power conversion efficiency xiAnd the ambient temperature TriCalculated, the calculation formula is as follows:
Figure FDA0002432313100000023
wherein k isi1、ki2、ki3The weighting coefficients, P, respectively reflecting the influence degrees of the illumination intensity, the photovoltaic power conversion efficiency and the ambient temperature on the ith photovoltaic power stationiNRated power generation power, P, for the ith photovoltaic power plantiWThe calculation formula is the actual generated power of the ith photovoltaic power station and is shown as the following formula:
PiW＝χiSiIi[1-0.0046(Tri+18)]
in the formula, SiThe total area of the solar panel of the ith photovoltaic power station;
step 3 of the photovoltaic power stationsEnvironmental change factor ηiAccording to the installation angle theta of the photovoltaic array of each photovoltaic power stationiConversion efficiency chiiAtmospheric pressure qiAmbient temperature TriAnd average temperature T of photovoltaic panelbiAnd calculating according to the following formula:
Figure FDA0002432313100000031
wherein, ηiIs the environmental change factor of the ith photovoltaic power plant.
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