Photovoltaic side micro-meteorological monitoring system

Abstract

The invention relates to a photovoltaic-side micro-meteorological monitoring system, which is characterized in that external environment data can be acquired by using a data acquisition module according to a preset time interval, and time marking can be performed on the acquired data by using a time marking unit; the data can be sorted and stored by utilizing the data sorting and storage module; the data can be preprocessed and integrated by utilizing the integration module, so that a plurality of data packets are formed; a curve drawing module is utilized to draw a change curve graph of a meteorological environment based on the data packet formed by the integration module, and photovoltaic output is calculated according to the change curve graph of the meteorological environment, so that a clustering result set is obtained; the analysis module is used for evaluating the influence of the change of the meteorological environment on the photovoltaic according to the clustering result, and generating an evaluation result; and finally, adjusting the operation state of the photovoltaic power generation equipment according to an evaluation result, and realizing optimization of the photovoltaic power generation efficiency. The system has the advantages of accurate and convenient monitoring and convenient and efficient use.

Description

Technical Field

[0001] This invention belongs to the field of new energy power generation technology, specifically relating to a photovoltaic micro-meteorological monitoring system. Background Technology

[0002] Photovoltaic power generation is constrained by meteorological factors. Therefore, collecting micro-meteorological data from photovoltaic power plants as training features for photovoltaic power generation prediction models is of great significance for improving photovoltaic power output prediction and promoting the development of the photovoltaic industry. Currently, photovoltaic power generation prediction mainly relies on data collected from public meteorological departments as model training features. However, this type of data has a coarse granularity and is difficult to pinpoint to the specific location of photovoltaic power plants, resulting in certain errors in model training and construction. Secondly, existing micro-meteorological data collection equipment lacks computing power, thus requiring the transmission of large-scale raw data, which inevitably affects the timeliness of photovoltaic power output prediction to some extent. Therefore, to solve the above problems, it is necessary to develop a photovoltaic-side micro-meteorological monitoring system that is accurate, convenient, and efficient to use. Summary of the Invention

[0003] The purpose of this invention is to overcome the shortcomings of the prior art and provide a photovoltaic micro-meteorological monitoring system that is accurate, convenient, easy to use, and efficient.

[0004] The objective of this invention is achieved as follows: a photovoltaic-side microclimate monitoring system, comprising a data acquisition module, a data processing and storage module, an integration module, a curve plotting module, and an analysis module. The data acquisition module can collect external environmental data at preset time intervals. The data acquisition module is equipped with a time stamping unit, which can be used to time-stamp the data collected by the data acquisition module. The data processing and storage module can sort and organize the data according to the time stamps in the data, and perform structured processing to increase the compactness and density of the data. After that, the data is stored and backed up. The integration module can acquire data stored in the data processing and storage module through the wireless transmission component, and after the data acquisition is completed, it performs preprocessing and integration operations on the data according to a preset time period, thereby forming multiple data packets; The curve drawing module can draw a curve of meteorological environment change based on the data package formed by the integration module. Then, based on the curve of meteorological environment change, a distance matrix between each photovoltaic power output curve is constructed, and a graph algorithm is introduced to search for matching points. The similarity between different photovoltaic power output curves is calculated and a similarity matrix is ​​established, thereby dividing different types of clusters to achieve clustering. Then, those with similar power output are divided into the same cluster to obtain a set of clustering results. The analysis module can assess the impact of meteorological changes on photovoltaics based on clustering results and generate assessment results. Then, it can adjust the operating status of photovoltaic power generation equipment based on the assessment results, thereby optimizing the power generation efficiency of photovoltaics.

[0005] Furthermore, the data acquisition module consists of various sensors installed on outdoor photovoltaic monitoring facilities, including temperature sensors, humidity sensors, wind speed and direction sensors, and light sensors.

[0006] Furthermore, the preprocessing and integration operations specifically involve: filtering out error information generated during the transition when the operating mode changes, while standardizing and organizing the data and unifying the units.

[0007] Furthermore, the data processing and storage module is equipped with an editing unit, which allows for quick retrieval of data information stored within the module.

[0008] Furthermore, the curve drawing module is externally connected to a display component, which can be used to display the curves showing changes in the meteorological environment.

[0009] Furthermore, the data acquisition module is also equipped with a positioning unit, which can be used to mark the location information of the data acquired by the data acquisition module.

[0010] The beneficial effects of this invention are as follows: By setting up a data acquisition module and a time stamping unit, the data acquisition module can collect external environmental data at preset time intervals, and the time stamping unit can time-stamp the collected data. By setting up a data processing and storage module, the data can be stored and backed up, and also processed and sorted according to the time stamps, thus increasing the compactness and density of the data. By setting up an integration module, the data can be processed, filtering out errors generated during transitional states when the operating mode changes, standardizing the data, unifying units, and then dividing the data information into multiple data packets according to preset time periods. By setting up a curve plotting module, the change curve of the meteorological environment can be plotted based on the data packets formed by the integration module, and the photovoltaic output can be calculated based on the change curve, thus obtaining a clustering result set. By setting up an analysis module, the impact of changes in the meteorological environment on photovoltaics can be evaluated based on the clustering results, and evaluation results can be generated. Finally, the operating status of the photovoltaic power generation equipment can be adjusted according to the evaluation results to optimize the photovoltaic power generation efficiency. In summary, this invention has the advantages of accurate and convenient monitoring and convenient and efficient use. Attached Figure Description

[0011] Figure 1This is a flowchart illustrating the structure of the present invention. Detailed Implementation

[0012] The present invention will now be further described with reference to the accompanying drawings.

[0013] Example: Figure 1 As shown, a photovoltaic-side microclimate monitoring system includes a data acquisition module, a data processing and storage module, an integration module, a curve plotting module, and an analysis module. The data acquisition module can collect external environmental data at preset time intervals. The data acquisition module includes a time stamping unit to time-mark the collected data. The data acquisition module comprises various sensors installed on the outdoor photovoltaic monitoring facility, including temperature, humidity, wind speed and direction sensors, and light sensors. Furthermore, the data acquisition module also includes a positioning unit to mark the location information of the collected data. The data processing and storage module can sort and organize the data according to the time stamps in the data, and perform structured processing to increase the compactness and density of the data. After that, the data is stored and backed up. The data processing and storage module is equipped with an editing unit, which can be used to quickly search the data information stored in the data processing and storage module. The integration module can acquire data stored in the data processing and storage module through the wireless transmission component, and after the data acquisition is completed, it performs preprocessing and integration operations on the data according to a preset time period; thereby forming multiple data packets; the preprocessing and integration operations specifically include: filtering out error information generated by the transition state when the operating mode changes, while standardizing and organizing the data and unifying the units; The curve drawing module can draw a meteorological environment change curve based on the data package formed by the integration module. Then, based on the meteorological environment change curve, it constructs a distance matrix between various photovoltaic power output curves and introduces a graph algorithm to search for matching points, calculates the similarity between different photovoltaic power output curves and establishes a similarity matrix, thereby dividing different types of clusters to achieve clustering. Furthermore, it groups those with similar power output into the same cluster to obtain a set of clustering results. The curve drawing module is externally connected to a display component, which can be used to display the meteorological environment change curve. The analysis module can assess the impact of meteorological changes on photovoltaics based on clustering results and generate assessment results. Then, it can adjust the operating status of photovoltaic power generation equipment based on the assessment results, thereby optimizing the power generation efficiency of photovoltaics.

[0014] In use, this invention first detects the external environment using temperature, humidity, wind speed and direction sensors, and light sensors installed on the outdoor photovoltaic facility, and collects the acquired data. Then, a time stamping unit timestamps the collected data, and a positioning unit marks the location information. Next, a data processing and storage module organizes and sorts the data according to the time stamps, performing structured processing to increase data compactness and density. After processing, the data is backed up and stored. Simultaneously, an editing unit within the data processing and storage module allows for quick searching of stored data. Finally, a wireless transmission component transmits the data stored in the data processing and storage module to an integration module. The integration module preprocesses and integrates the data according to a preset time period, forming multiple data packets. Specifically, the preprocessing and integration operations include: filtering out operating modes. During the transition, while generating error messages, the data is standardized and units are unified. After completing the above operations, based on the data package formed by the integration module, a meteorological environment change curve is plotted using the curve plotting module. Then, based on the meteorological environment change curve, a distance matrix between various photovoltaic output curves is constructed, and a graph algorithm is introduced to search for matching points. The similarity between different photovoltaic output curves is calculated, and a similarity matrix is ​​established, thereby dividing different types of clusters to achieve clustering. Then, those with similar output are grouped into the same cluster, resulting in a set of clustering results. During this process, the display component connected to the curve plotting module can be used to display the meteorological environment change curve. Finally, through the analysis module and based on the clustering results, the impact of meteorological environment changes on photovoltaics is evaluated, and an evaluation result is generated. Subsequently, the operating status of photovoltaic power generation equipment is adjusted according to the evaluation result to optimize photovoltaic power generation efficiency. In summary, this invention has the advantages of accurate and convenient monitoring and convenient and efficient use.

[0015] The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of the claims of the present invention.

Claims

1. A photovoltaic side microclimate monitoring system comprising a data acquisition module, a data arrangement and storage module, an integration module, a curve drawing module and an analysis module, characterized in that: the data acquisition module can collect external environmental data at a preset time interval, wherein the data acquisition module is internally provided with a time marking unit, which can mark the time of the data collected by the data acquisition module; the data arrangement and storage module can arrange and sort the data according to the time mark in the data, and perform structured processing to increase the compactness and density of the data, and then store and backup the data; the integration module can obtain the data stored in the data arrangement and storage module through a wireless transmission component, and after the data is obtained, it can perform preprocessing and integration operations on the data according to a preset time period; thereby forming multiple data packets; the curve drawing module can draw a meteorological environment change curve based on the data packets formed by the integration module, and then construct a distance matrix between various photovoltaic output curves based on the meteorological environment change curve, and introduce a graph algorithm to search for matching points, calculate the similarity between different photovoltaic output curves and establish a similarity matrix, thereby dividing different clusters to achieve clustering, and then dividing similar output conditions into the same cluster to obtain a clustering result set; the analysis module can evaluate the influence of meteorological environment changes on photovoltaic according to the clustering result, and generate an evaluation result; then, according to the evaluation result, adjust the running state of the photovoltaic power generation equipment, thereby optimizing the power generation efficiency of the photovoltaic.

2. A photovoltaic side microclimate monitoring system as claimed in claim 1, wherein: The data acquisition module is a plurality of sensors installed on outdoor photovoltaic side facilities, including temperature sensors, humidity sensors, wind direction and wind force sensors, and light sensors.

3. A photovoltaic side microclimate monitoring system as claimed in claim 1, wherein: The preprocessing and integration operation specifically refers to filtering out error information generated during the transition state when the operation mode changes, standardizing and arranging the data, and unifying the units.

4. A photovoltaic side microclimate monitoring system as claimed in claim 1, wherein: The data arrangement and storage module is internally provided with an editing unit, which can facilitate quick searching of data information stored in the data arrangement and storage module.

5. A photovoltaic side microclimate monitoring system as claimed in claim 1, wherein: The curve drawing module is externally provided with a display component, which can display the meteorological environment change curve.

6. A photovoltaic side microclimate monitoring system as claimed in claim 1, wherein: The data acquisition module is also internally provided with a positioning unit, which can mark the position information of the data collected by the data acquisition module.

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