CN116191666B - Data acquisition system and method based on photovoltaic power generation - Google Patents
Data acquisition system and method based on photovoltaic power generation Download PDFInfo
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- CN116191666B CN116191666B CN202310053067.0A CN202310053067A CN116191666B CN 116191666 B CN116191666 B CN 116191666B CN 202310053067 A CN202310053067 A CN 202310053067A CN 116191666 B CN116191666 B CN 116191666B
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- 238000010248 power generation Methods 0.000 title claims abstract description 105
- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000004458 analytical method Methods 0.000 claims abstract description 104
- 238000012544 monitoring process Methods 0.000 claims abstract description 35
- 238000007405 data analysis Methods 0.000 claims abstract description 26
- 238000011156 evaluation Methods 0.000 claims abstract description 25
- 230000005540 biological transmission Effects 0.000 claims description 32
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- 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
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- 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
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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Abstract
The invention discloses a data acquisition system and a method based on photovoltaic power generation, and relates to the technical field of photovoltaic power generation, wherein the data acquisition system comprises a data acquisition module, an instruction generation module, a data monitoring module, a data analysis module and a node distribution module; the data monitoring module is used for searching, downloading and monitoring the photovoltaic power generation data cached by the management center and carrying out observation coefficient GC evaluation on the corresponding photovoltaic power station; the instruction generation module is used for determining the acquisition frequency of the corresponding photovoltaic power station according to the observation coefficient GC, and reasonably arranging the monitoring resources; responding to the data acquisition instruction, wherein the data acquisition module is used for acquiring photovoltaic power generation data of a plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff; the data analysis module receives the photovoltaic power generation data, utilizes the node distribution module to analyze the abundant coefficients of the photovoltaic power generation data cached in the management center, and distributes corresponding quantity of analysis nodes according to the abundant coefficients to analyze; and the data analysis efficiency is improved.
Description
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to a data acquisition system and method based on photovoltaic power generation.
Background
Photovoltaic is an important field of solar energy effective utilization, and the use amount of the photovoltaic is rapidly increased. At present, instruments, methods, precision and the like required by on-line operation detection and measurement of key equipment of a solar photovoltaic power station are greatly different from international advanced level, the actual operation performance evaluation method, the measurement equipment precision, the equipment arrangement scheme and the like of the built large grid-connected photovoltaic power generation system are immature, the data comparison analysis and the actual operation performance evaluation method are single, and the built photovoltaic power station cannot be effectively evaluated.
The existing photovoltaic power generation data acquisition system cannot intelligently identify the photovoltaic power station with high observation coefficient, and reasonably arrange monitoring resources to improve the monitoring efficiency; meanwhile, as the types of photovoltaic equipment deployed by the photovoltaic power station are more and more, the data transmission quantity is larger and more, and the problem that analysis nodes with different numbers cannot be distributed according to the rich coefficients of the photovoltaic power generation data for analysis exists, so that the overall data processing efficiency is affected; based on the defects, the invention provides a data acquisition system and method based on photovoltaic power generation.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the invention provides a data acquisition system and method based on photovoltaic power generation.
To achieve the above object, an embodiment according to a first aspect of the present invention provides a data collection system based on photovoltaic power generation, including a data collection module, an instruction generation module, a data monitoring module, a data analysis module, and a node allocation module;
the data acquisition module is connected with the plurality of photovoltaic modules and is used for responding to the data acquisition instruction to acquire photovoltaic power generation data of the plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff; the photovoltaic power generation data comprise voltage and current data of a photovoltaic module;
the instruction generation module is used for generating a data acquisition instruction according to a preset rule and sending the data acquisition instruction to the data acquisition module; the preset rule specifically comprises the following steps: determining the acquisition frequency of the corresponding photovoltaic power station as Hi according to the observation coefficient GC;
the data monitoring module is used for searching, downloading and monitoring the photovoltaic power generation data cached by the management center and carrying out observation coefficient GC evaluation on the corresponding photovoltaic power station;
the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, and sending a string cutting instruction to the management center according to the fault condition; after receiving the string cutting-off instruction, the management center controls the photovoltaic module connected with the data acquisition module to cut off;
the data analysis module comprises a plurality of analysis nodes, and the node distribution module is used for acquiring photovoltaic power generation data cached by the management center to perform rich coefficient analysis and distributing a corresponding number of analysis nodes to analyze according to rich coefficients FM.
Further, the specific monitoring steps of the data monitoring module are as follows:
when the photovoltaic power generation data is searched and downloaded, automatically counting down, wherein the counting down time is T2 time, and T2 is a preset value; continuously searching, downloading and monitoring the photovoltaic power generation data in the countdown stage;
when the photovoltaic power generation data or the associated data is retrieved and downloaded again, the countdown is automatically classified as an original value, and the countdown is performed again according to T2; otherwise, the countdown returns to zero, and the timing is stopped; the associated data are expressed as photovoltaic power generation data of the same photovoltaic power station in different periods;
counting the times of searching and downloading the photovoltaic power generation data or the associated data in the countdown stage as searching frequency P1, and counting the duration of the countdown stage as searching duration PT; calculating to obtain an observation coefficient GC of the corresponding photovoltaic power station by using a formula GC=P1×r1+PT×r2; wherein r1 and r2 are coefficient factors;
the data monitoring module is used for marking a time stamp on an observation coefficient GC of the photovoltaic power station and storing the observation coefficient GC in the storage module.
Further, the specific working steps of the instruction generation module are as follows:
according to the photovoltaic power station, automatically acquiring an observation coefficient GC of the photovoltaic power station from the current moment from a storage module; determining the acquisition frequency of the corresponding photovoltaic power station as Hi according to the observation coefficient GC; the method comprises the following steps: a mapping relation table of the observation coefficient range and the acquisition frequency is stored in the database; the instruction generation module is used for issuing a data acquisition instruction to the corresponding data acquisition module according to the acquisition frequency Hi.
Further, the specific allocation steps of the node allocation module are as follows:
the size of the photovoltaic power generation data is marked as D1, the number of photovoltaic modules corresponding to the photovoltaic power generation data is counted as M1, and the acquisition time length corresponding to the photovoltaic power generation data is marked as T1;
calculating to obtain a rich coefficient FM of corresponding photovoltaic power generation data by using a formula FM=D1×b1+M1×b2+T1×b3, wherein b1, b2 and b3 are coefficient factors;
determining the corresponding analysis node quantity as MK according to the rich coefficient FM, specifically: the database stores a mapping relation table of the rich coefficient range and the threshold value of the number of nodes;
and automatically acquiring analysis coefficients KX of all analysis nodes from the storage module, sorting the analysis nodes according to the size of the analysis coefficients KX, and selecting the analysis node MK before sorting as a target node to analyze the photovoltaic power generation data.
Further, the system further comprises a node evaluation module, wherein the node evaluation module is used for evaluating the analysis coefficient KX of each analysis node, and the specific evaluation steps are as follows:
obtaining the connection number of access nodes of each analysis node at the current time as Lt, and setting the maximum capacity of the access node of the corresponding analysis node as L0 and the minimum capacity as L1; calculating to obtain an access coefficient Lg of the analysis node by using a formula lg= (L0-Lt)/(Lt-L1);
marking the delay of the management center for transmitting data to the analysis node as Yi; marking the code rate of the data transmitted to the analysis node by the management center as Mi; wherein i=1, …, n; wherein n represents the nth transmission, yi corresponds to Mi one by one; calculating a transmission value CSI of the analysis node by using a formula CSI= (Mixa1)/(Yixa2), wherein a1 and a2 are coefficient factors;
comparing the transmission value CSI with a transmission threshold value, and calculating to obtain a transmission deviation coefficient SP of the analysis node; calculating to obtain an analysis coefficient KX of the analysis node by using a formula KX= (LgXg5)/(SP Xg6), wherein g5 and g6 are coefficient factors; the node evaluation module is used for marking the time stamp on the analysis coefficient KX of the analysis node and storing the analysis coefficient KX in the storage module.
Further, the specific calculation method of the transmission deviation coefficient SP is as follows:
counting the times that the CSI is smaller than a transmission threshold value to obtain a frequency duty ratio Zb1; when the CSI is smaller than the transmission threshold, acquiring a difference value between the CSI and the transmission threshold and summing to obtain a transmission difference value CT;
the transmission deviation coefficient SP of the analysis node is calculated by using the formula sp=zb1×g3+ct×g4, wherein g3 and g4 are coefficient factors.
Further, a data acquisition method based on photovoltaic power generation comprises the following steps:
step one: searching, downloading and monitoring the photovoltaic power generation data cached by the management center, and carrying out GC evaluation on the observation coefficient of the corresponding photovoltaic power station;
step two: determining the acquisition frequency of the corresponding photovoltaic power station as Hi according to the observation coefficient GC; the instruction generation module is used for issuing a data acquisition instruction to the data acquisition module according to the acquisition frequency Hi;
step three: responding to the data acquisition instruction, wherein the data acquisition module is used for acquiring photovoltaic power generation data of a plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff;
step four: after the data analysis module receives the photovoltaic power generation data, the node distribution module is utilized to analyze the abundant coefficients of the photovoltaic power generation data cached in the management center, and analysis nodes with the corresponding quantity are distributed according to the abundant coefficients FM;
step five: the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, and sending a string cutting instruction to the management center according to the fault condition;
after receiving the string cutting-off instruction, the management center controls the photovoltaic module connected with the data acquisition module to cut off; to remind the manager to carry out overhaul and maintenance.
Further, the method further comprises: and carrying out analysis coefficient KX evaluation on each analysis node by using a node evaluation module.
Compared with the prior art, the invention has the beneficial effects that:
the data monitoring module is used for searching, downloading and monitoring the photovoltaic power generation data cached by the management center and evaluating the observation coefficients of the corresponding photovoltaic power stations; the instruction generation module is used for determining the acquisition frequency of the corresponding photovoltaic power station according to the observation coefficient GC and generating a data acquisition instruction; the data acquisition module is connected with the plurality of photovoltaic modules and is used for responding to the data acquisition instruction, acquiring photovoltaic power generation data of the plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff; the invention can intelligently identify the photovoltaic power station with high observation coefficient, reasonably arrange monitoring resources and improve the monitoring efficiency;
the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, sending a string cutting instruction to the management center according to the fault condition, and controlling the photovoltaic module connected with the data acquisition module to be cut off, so that a manager can carry out overhaul and maintenance, and the electric power safety is improved; the data analysis module comprises a plurality of analysis nodes, and the node distribution module is used for acquiring photovoltaic power generation data cached by the management center for enriching coefficient analysis and distributing a corresponding number of analysis nodes for analysis according to the enriching coefficient FM; and then analyzing the photovoltaic power generation data by selecting an analysis node of MK before sequencing of the analysis coefficients KX as a target node, thereby improving the data analysis efficiency.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a system block diagram of a data acquisition system based on photovoltaic power generation according to the present invention.
Fig. 2 is a schematic block diagram of a data acquisition method based on photovoltaic power generation.
Description of the embodiments
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1 to 2, a data acquisition system based on photovoltaic power generation comprises a data acquisition module, a management center, an instruction generation module, a database, a data monitoring module, a storage module, a data analysis module, a node allocation module and a node evaluation module;
the data acquisition module is connected with the management center in a distributed mode through the nodes of the Internet of things; the data acquisition module is connected with the plurality of photovoltaic modules and is used for responding to the data acquisition instruction to acquire photovoltaic power generation data of the plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff; the photovoltaic power generation data comprise voltage and current data of the photovoltaic module;
the instruction generation module is used for generating a data acquisition instruction according to a preset rule and sending the data acquisition instruction to the data acquisition module; the method comprises the following specific steps:
according to the photovoltaic power station, automatically acquiring an observation coefficient GC of the photovoltaic power station from the current moment from a storage module; determining the acquisition frequency of a corresponding photovoltaic power station according to the observation coefficient GC; the method comprises the following steps:
the database stores a mapping relation table of the observation coefficient range and the acquisition frequency, wherein the larger the observation coefficient is, the larger the acquisition frequency is, namely the shorter the acquisition interval is, and the longer the corresponding acquisition time length is;
obtaining an observation coefficient GC of a corresponding photovoltaic power station, and determining an observation coefficient range section in which the GC is located in a corresponding mapping relation table; acquiring a corresponding acquisition frequency Hi according to the observation coefficient range interval;
the instruction generation module is used for issuing a data acquisition instruction to the corresponding data acquisition module according to the acquisition frequency Hi;
the data monitoring module is used for searching, downloading and monitoring the photovoltaic power generation data cached by the management center and evaluating the observation coefficient of the corresponding photovoltaic power station, and the specific monitoring steps are as follows:
when the photovoltaic power generation data is searched and downloaded, automatically counting down, wherein the counting down time is T2 time, and T2 is a preset value; for example, T2 is 2 hours;
continuously searching and downloading the photovoltaic power generation data in the countdown stage, and when the photovoltaic power generation data or the related data is searched and downloaded again, automatically returning the countdown to the original value and carrying out countdown again according to T2; otherwise, the countdown returns to zero, and the timing is stopped; the associated data are expressed as photovoltaic power generation data of the same photovoltaic power station in different periods;
counting the times of searching and downloading the photovoltaic power generation data or the associated data in the countdown stage as searching frequency P1, and counting the duration of the countdown stage as searching duration PT; normalizing the search frequency and the search duration, taking the values of the search frequency and the search duration, and calculating by using a formula GC=P1×r1+PT×r2 to obtain an observation coefficient GC of the corresponding photovoltaic power station; wherein r1 and r2 are coefficient factors; the data monitoring module is used for marking a time stamp on an observation coefficient GC of the photovoltaic power station and storing the observation coefficient GC in the storage module;
the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, and sending a string cutting instruction to the management center according to the fault condition; after receiving the string cutting-off instruction, the management center controls the photovoltaic module connected with the data acquisition module to cut off; so that the manager can carry out overhaul and maintenance, and the electric power safety is improved;
the data analysis module comprises a plurality of analysis nodes, and the node distribution module is used for acquiring photovoltaic power generation data cached in the management center to perform rich coefficient analysis and distributing a corresponding number of analysis nodes according to the rich coefficient FM to analyze; the specific distribution steps are as follows:
the size of the photovoltaic power generation data is marked as D1, the number of photovoltaic modules corresponding to the photovoltaic power generation data is counted as M1, and the acquisition time length corresponding to the photovoltaic power generation data is marked as T1;
calculating to obtain a rich coefficient FM of corresponding photovoltaic power generation data by using a formula FM=D1×b1+M1×b2+T1×b3, wherein b1, b2 and b3 are coefficient factors;
determining the corresponding analysis node quantity as MK according to the rich coefficient FM, specifically:
the database stores a mapping relation table of the rich coefficient range and the threshold value of the number of nodes;
determining a corresponding rich coefficient range according to the rich coefficient FM, and determining a corresponding node quantity threshold value as MK according to the rich coefficient range, namely determining the corresponding analysis node quantity as MK;
the analysis coefficients KX of all analysis nodes are automatically obtained from the storage module, the analysis nodes are ordered according to the size of the analysis coefficients KX, and the analysis nodes MK before the ordering are selected as target nodes to analyze the photovoltaic power generation data, so that the data analysis efficiency is improved;
the node evaluation module is connected with the data analysis module and is used for evaluating the analysis coefficient KX of each analysis node, and the specific evaluation steps are as follows:
obtaining the connection number of access nodes of each analysis node at the current time as Lt, and setting the maximum capacity of the access node of the corresponding analysis node as L0 and the minimum capacity as L1; calculating to obtain an access coefficient Lg of the analysis node by using a formula lg= (L0-Lt)/(Lt-L1);
marking the delay of the management center for transmitting data to the analysis node as Yi; marking the code rate of data transmitted to the analysis node by the management center as Mi; wherein i=1, …, n; wherein n represents the nth transmission, yi corresponds to Mi one by one; calculating a transmission value CSI of the analysis node by using a formula CSI= (Mixa1)/(Yixa2), wherein a1 and a2 are coefficient factors;
comparing the transmission value CSI with a transmission threshold, counting the number of times that the CSI is smaller than the transmission threshold as Zb1, and obtaining and summing the difference value of the CSI and the transmission threshold to obtain a transmission difference value CT when the CSI is smaller than the transmission threshold; calculating a transmission deviation coefficient SP of an analysis node by using a formula SP=Zb1×g3+CT×g4, wherein g3 and g4 are coefficient factors;
normalizing the access coefficient and the transmission deviation coefficient, taking the values of the access coefficient and the transmission deviation coefficient, and calculating to obtain an analysis coefficient KX of the analysis node by using a formula KX= (LgXg5)/(SP Xg6), wherein g5 and g6 are coefficient factors; the node evaluation module is used for marking the time stamp on the analysis coefficient KX of the analysis node and storing the analysis coefficient KX in the storage module.
A data acquisition method based on photovoltaic power generation comprises the following steps:
step one: searching, downloading and monitoring the photovoltaic power generation data cached by the management center, and carrying out GC evaluation on the observation coefficient of the corresponding photovoltaic power station;
step two: determining the acquisition frequency of the corresponding photovoltaic power station as Hi according to the observation coefficient GC; the instruction generation module is used for issuing a data acquisition instruction to the corresponding data acquisition module according to the acquisition frequency Hi;
step three: responding to the data acquisition instruction, wherein the data acquisition module is used for acquiring photovoltaic power generation data of a plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff;
step four: after the data analysis module receives the photovoltaic power generation data, the node distribution module is utilized to analyze the abundant coefficients of the photovoltaic power generation data cached in the management center, and analysis nodes with the corresponding quantity are distributed according to the abundant coefficients FM;
step five: the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, and sending a string cutting instruction to the management center according to the fault condition;
after receiving the string cutting-off instruction, the management center controls the photovoltaic module connected with the data acquisition module to cut off; so that the manager can carry out overhaul and maintenance, and the electric power safety is improved;
the method further comprises the steps of: and carrying out analysis coefficient KX evaluation on each analysis node by using a node evaluation module.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The working principle of the invention is as follows:
the data monitoring module is used for searching, downloading and monitoring the photovoltaic power generation data cached by the management center and evaluating the observation coefficient of the corresponding photovoltaic power station when the data acquisition system and the method based on the photovoltaic power generation work; the instruction generation module is used for determining the acquisition frequency of the corresponding photovoltaic power station according to the observation coefficient GC and generating a data acquisition instruction; the data acquisition module is connected with the plurality of photovoltaic modules and is used for responding to the data acquisition instruction, acquiring photovoltaic power generation data of the plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff; the invention can intelligently identify the photovoltaic power station with high observation coefficient, reasonably arrange monitoring resources and improve the monitoring efficiency;
the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, sending a string cutting instruction to the management center according to the fault condition, and controlling the cutting of the photovoltaic module connected with the data acquisition module so as to facilitate the maintenance of the management personnel and improve the power safety; the data analysis module comprises a plurality of analysis nodes, and the node distribution module is used for acquiring photovoltaic power generation data cached in the management center to perform rich coefficient analysis and distributing a corresponding number of analysis nodes according to the rich coefficient FM to analyze; and then analyzing the photovoltaic power generation data by selecting an analysis node of MK before sequencing of the analysis coefficients KX as a target node, thereby improving the data analysis efficiency.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (3)
1. The data acquisition system based on the photovoltaic power generation is characterized by comprising a data acquisition module, an instruction generation module, a data monitoring module, a data analysis module and a node distribution module;
the data acquisition module is connected with the plurality of photovoltaic modules and is used for responding to the data acquisition instruction to acquire photovoltaic power generation data of the plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff; the photovoltaic power generation data comprise voltage and current data of a photovoltaic module;
the instruction generation module is used for generating a data acquisition instruction according to a preset rule and sending the data acquisition instruction to the data acquisition module; the preset rule specifically comprises the following steps:
according to the photovoltaic power station, automatically acquiring an observation coefficient GC of the photovoltaic power station from the current moment from a storage module; determining the acquisition frequency of the corresponding photovoltaic power station as Hi according to the observation coefficient GC; the method comprises the following steps:
a mapping relation table of the observation coefficient range and the acquisition frequency is stored in the database; the instruction generation module is used for issuing a data acquisition instruction to the corresponding data acquisition module according to the acquisition frequency Hi;
the data monitoring module is used for searching, downloading and monitoring the photovoltaic power generation data cached by the management center and carrying out observation coefficient GC evaluation on the corresponding photovoltaic power station; the specific monitoring steps are as follows:
when the photovoltaic power generation data is searched and downloaded, automatically counting down, wherein the counting down time is T2 time, and T2 is a preset value; continuously searching, downloading and monitoring the photovoltaic power generation data in the countdown stage;
when the photovoltaic power generation data or the associated data is retrieved and downloaded again, the countdown is automatically classified as an original value, and the countdown is performed again according to T2; otherwise, the countdown returns to zero, and the timing is stopped; the associated data are expressed as photovoltaic power generation data of the same photovoltaic power station in different periods;
counting the times of searching and downloading the photovoltaic power generation data or the associated data in the countdown stage as searching frequency P1, and counting the duration of the countdown stage as searching duration PT; calculating to obtain an observation coefficient GC of the corresponding photovoltaic power station by using a formula GC=P1×r1+PT×r2; wherein r1 and r2 are coefficient factors;
the data monitoring module is used for marking a time stamp on an observation coefficient GC of the photovoltaic power station and storing the observation coefficient GC in the storage module;
the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, and sending a string cutting instruction to the management center according to the fault condition; after receiving the string cutting-off instruction, the management center controls the photovoltaic module connected with the data acquisition module to cut off;
the data analysis module comprises a plurality of analysis nodes, and the node evaluation module is used for evaluating the analysis coefficient KX of each analysis node, and comprises the following specific evaluation steps:
obtaining the connection number of access nodes of each analysis node at the current time as Lt, and setting the maximum capacity of the access node of the corresponding analysis node as L0 and the minimum capacity as L1; calculating to obtain an access coefficient Lg of the analysis node by using a formula lg= (L0-Lt)/(Lt-L1);
marking the delay of the management center for transmitting data to the analysis node as Yi; marking the code rate of the data transmitted to the analysis node by the management center as Mi; wherein i=1, …, n; wherein n represents the nth transmission, yi corresponds to Mi one by one; calculating a transmission value CSI of the analysis node by using a formula CSI= (Mixa1)/(Yixa2), wherein a1 and a2 are coefficient factors;
comparing the transmission value CSi with a transmission threshold; counting the times that the CSI is smaller than a transmission threshold value to obtain a frequency duty ratio Zb1; when the CSI is smaller than the transmission threshold, acquiring a difference value between the CSI and the transmission threshold and summing to obtain a transmission difference value CT; calculating a transmission deviation coefficient SP of an analysis node by using a formula SP=Zb1×g3+CT×g4, wherein g3 and g4 are coefficient factors;
calculating to obtain an analysis coefficient KX of the analysis node by using a formula KX= (LgXg5)/(SP Xg6), wherein g5 and g6 are coefficient factors; the node evaluation module is used for marking a time stamp on the analysis coefficient KX of the analysis node and storing the time stamp in the storage module;
the node distribution module is used for acquiring photovoltaic power generation data cached by the management center to perform rich coefficient FM analysis, and analyzing the analysis nodes with the corresponding quantity according to the rich coefficient FM distribution; the specific allocation steps of the node allocation module are as follows:
marking the size of the photovoltaic power generation data as D1, counting the number of photovoltaic modules corresponding to the photovoltaic power generation data as M1, and marking the acquisition time length corresponding to the photovoltaic power generation data as T1;
calculating to obtain a rich coefficient FM of corresponding photovoltaic power generation data by using a formula FM=D1×b1+M1×b2+T1×b3, wherein b1, b2 and b3 are coefficient factors;
determining the corresponding analysis node quantity as MK according to the rich coefficient FM, specifically: the database stores a mapping relation table of the rich coefficient range and the threshold value of the number of nodes;
and automatically acquiring analysis coefficients KX of all analysis nodes from the storage module, sorting the analysis nodes according to the size of the analysis coefficients KX, and selecting the analysis node MK before sorting as a target node to analyze the photovoltaic power generation data.
2. A data acquisition method based on photovoltaic power generation, which is applied to the data acquisition system based on photovoltaic power generation as claimed in claim 1, and is characterized by comprising the following steps:
step one: searching, downloading and monitoring the photovoltaic power generation data cached by the management center, and carrying out GC evaluation on the observation coefficient of the corresponding photovoltaic power station;
step two: determining the acquisition frequency of the corresponding photovoltaic power station as Hi according to the observation coefficient GC; the instruction generation module is used for issuing a data acquisition instruction to the data acquisition module according to the acquisition frequency Hi;
step three: responding to the data acquisition instruction, wherein the data acquisition module is used for acquiring photovoltaic power generation data of a plurality of photovoltaic modules and transmitting the photovoltaic power generation data to the management center for study and analysis by management staff;
step four: after the data analysis module receives the photovoltaic power generation data, the node distribution module is used for carrying out rich coefficient FM analysis on the photovoltaic power generation data cached in the management center, and analyzing the analysis nodes with the corresponding quantity according to the rich coefficient FM distribution;
step five: the data analysis module is used for analyzing according to the photovoltaic power generation data so as to judge the fault condition of the photovoltaic module, and sending a string cutting instruction to the management center according to the fault condition;
after receiving the string cutting-off instruction, the management center controls the photovoltaic module connected with the data acquisition module to cut off; to remind the manager to carry out overhaul and maintenance.
3. The data acquisition method based on photovoltaic power generation according to claim 2, further comprising: and carrying out analysis coefficient KX evaluation on each analysis node by using a node evaluation module.
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