CN-121984445-A - Monitoring method, system, terminal and medium based on direct communication of photovoltaic module

CN121984445ACN 121984445 ACN121984445 ACN 121984445ACN-121984445-A

Abstract

The application relates to a monitoring method, a system, a terminal and a medium based on direct communication of a photovoltaic module, and relates to the technical field of photovoltaics; the method comprises the steps of transmitting operation parameters to a data concentrator through a communication module, transmitting the operation parameters to a cloud server through the data concentrator, analyzing the operation parameters through the cloud server, judging whether the failure weight score meets preset conditions or not, acquiring control instructions according to the failure weight score if the failure weight score meets preset conditions, and transmitting the control instructions to a photovoltaic intelligent component through the cloud server. The application has the effect of improving the efficiency of troubleshooting the photovoltaic module.

Inventors

WANG WEIHUI
DENG XIANGCHUN
CHEN YUHANG
YAN YAQI

Assignees

浙江佳明电力科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260203

Claims (10)

1. A monitoring method based on direct communication of a photovoltaic module is characterized by comprising the following steps: Acquiring operation parameters of the photovoltaic intelligent component through a data detection module, wherein the operation parameters comprise operation voltage, operation current and operation temperature; transmitting the operating parameters to the data concentrator through the communication module; transmitting the operation parameters to a cloud server through a data concentrator; analyzing the operation parameters through the cloud server to obtain a fault weight score; Judging whether the fault weight score meets a preset condition or not; if not, acquiring a control instruction according to the fault weight score; And sending the control instruction to the photovoltaic intelligent component through the cloud server.
2. The monitoring method based on direct communication of a photovoltaic module according to claim 1, wherein the analyzing the operation parameters by the cloud server to obtain the failure weight score comprises: setting corresponding position coordinates for each photovoltaic intelligent module according to the physical layout of the photovoltaic intelligent modules; establishing a data box at the current moment for the photovoltaic intelligent component based on the position coordinates; writing the position coordinates and the operation parameters into a data box to be used as data to be processed; carrying out neighborhood data statistics processing based on the data to be processed to obtain structural data to be analyzed; And sending the structural data to a weighted fault judgment system for carrying out fault weighted calculation to obtain a fault weight score.
3. The monitoring method based on direct communication of a photovoltaic module according to claim 2, wherein the performing neighborhood data statistics processing based on the data to be processed to obtain the structural data to be analyzed comprises: acquiring the photovoltaic intelligent components in a preset range according to target position coordinates recorded in a data box of the target photovoltaic intelligent components to obtain a neighborhood candidate component set; Removing neighborhood candidate components with coordinate indexes of negative values corresponding to the coordinate positions from the neighborhood candidate component set to obtain the neighborhood component set; extracting operation parameters in a data box corresponding to the neighborhood component from the neighborhood component set to obtain neighborhood operation data; obtaining a neighborhood mean value and a neighborhood variance of neighborhood operation data according to a preset neighborhood data processing method; And writing the neighborhood mean value, the neighborhood variance and the current acquisition time back to a data box corresponding to the target photovoltaic intelligent component to obtain structural data to be analyzed.
4. The monitoring method based on direct communication of a photovoltaic module according to claim 3, wherein the obtaining the neighborhood mean and the neighborhood variance of the neighborhood operation data according to the preset neighborhood data processing method comprises: acquiring an operation voltage set, an operation current set and an operation temperature set in neighborhood operation data; respectively carrying out average value calculation on the running voltage set, the running current set and the running temperature set to obtain a running voltage neighborhood average value, a running current neighborhood average value and a running temperature neighborhood average value; integrating the running voltage neighborhood mean value, the running current neighborhood mean value and the running temperature neighborhood mean value to obtain a neighborhood mean value; Performing variance calculation on the running voltage set based on the running voltage neighborhood mean value to obtain a running voltage neighborhood variance; performing variance calculation on the running current set based on the running current neighborhood mean value to obtain a running current neighborhood variance; Performing variance calculation on the operation temperature set based on the operation temperature neighborhood mean value to obtain an operation temperature neighborhood variance; And integrating the operation voltage neighborhood variance, the operation current neighborhood variance and the operation temperature neighborhood variance to obtain the neighborhood variance.
5. The method for monitoring direct communication based on a photovoltaic module according to claim 4, wherein the sending the structural data to a weighted fault judgment system for performing fault weighted calculation to obtain a fault weight score comprises: classifying structural data based on position coordinates and time information in the data box to obtain a similar data set; performing time sequence difference operation on the same kind of data in the same kind of data set to obtain target change slope of each same kind of data sub-item; Acquiring a change slope consistent with the current acquisition time of the target photovoltaic intelligent component from the neighborhood component set to obtain a neighborhood slope data set; performing statistical calculation on the domain slope data set to obtain a neighborhood slope average; calculating a neighborhood slope variance of the neighborhood slope dataset based on the neighborhood slope mean; determining a weight fraction according to the target change slope, the neighborhood slope mean value and the neighborhood slope variance; and carrying out weighted summation on the weight scores to obtain fault weight scores.
6. The method for monitoring direct communication based on a photovoltaic module according to claim 5, wherein the performing a time sequence difference operation on the same kind of data in the same kind of data set to obtain a target change slope of each same kind of data sub-item comprises: acquiring an operation voltage change slope, an operation current change slope, an operation temperature change slope, a neighborhood mean change slope and a neighborhood variance change slope in a neighborhood slope dataset; respectively carrying out average value calculation on the five kinds of change slopes to obtain an operating voltage slope average value, an operating current slope average value, an operating temperature slope average value, a neighborhood average value slope average value and a neighborhood variance slope average value; integrating the running voltage slope mean value, the running current slope mean value, the running temperature slope mean value, the neighborhood mean value slope mean value and the neighborhood variance slope mean value to obtain a neighborhood slope mean value; Performing variance calculation on the similar change slopes based on the corresponding mean values respectively to obtain various change slope variances; and integrating the variances of the various change slopes to obtain the variance of the neighborhood slope.
7. The method for monitoring direct communication based on a photovoltaic module according to claim 5, wherein determining the weight score according to the target change slope, the neighborhood slope mean and the neighborhood slope variance comprises: acquiring a first evaluation parameter based on a difference value between the target change slope and the neighborhood slope mean; Acquiring a second evaluation parameter based on the corresponding relation between the target change slope and the neighborhood slope variance; linearly combining the first evaluation parameter and the second evaluation parameter according to a preset weighting coefficient to obtain an initial weight; And carrying out normalization processing on the initial weight to obtain a weight score.
8. A monitoring system based on direct communication of photovoltaic modules, characterized in that the system is adapted to perform the monitoring method based on direct communication of photovoltaic modules according to any one of claims 1 to 7, comprising: the acquisition module is used for acquiring the operation parameters; the storage is used for storing the program of the monitoring method based on direct communication of the photovoltaic module; And the processor can load and execute the program in the memory by the processor and realize the monitoring method based on the direct communication of the photovoltaic module.
9. An intelligent terminal comprising a memory and a processor, wherein the memory has stored thereon a computer program that can be loaded by the processor and that performs the method according to any of claims 1 to 7.
10. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method according to any of claims 1 to 7.

Description

Monitoring method, system, terminal and medium based on direct communication of photovoltaic module Technical Field The application relates to the technical field of photovoltaics, in particular to a monitoring method, a monitoring system, a monitoring terminal and a monitoring medium based on direct communication of a photovoltaic module. Background Along with the large-scale construction and wide application of the photovoltaic power generation system, the number of photovoltaic modules in the photovoltaic power station is continuously increased, and the real-time monitoring and fault diagnosis capability of the running state of the photovoltaic power station is directly related to the overall power generation efficiency and running safety of the power station. In the current photovoltaic monitoring technology system, two main schemes have the bottleneck that breakthrough is difficult, namely, a monitoring architecture taking a group-string inverter as a core is limited by the fact that the data acquisition granularity can only cover 'group-string stage', faults (such as hot spots, local shielding, monomer attenuation, abnormal wiring and the like) of a single photovoltaic module cannot be accurately positioned, so that fault investigation depends on manual piece-by-piece detection, the efficiency is low and hidden problems are easy to miss, and a component-level monitoring scheme taking a micro inverter (micro inverter) or a power optimizer as a carrier is adopted, so that component-level data acquisition is realized, a large amount of micro inverter/optimizer hardware is required to be additionally deployed, the system deployment cost is increased, and the installation and debugging difficulty and the later operation and maintenance complexity under complex scenes (such as distributed roof and BIPV photovoltaic building integration) are increased due to the node redundancy of access equipment. More importantly, the two schemes belong to an indirect communication paradigm, namely the photovoltaic module does not have active communication capability, and data are collected in a transfer mode by a third party intermediate device such as a string inverter, a micro-inverter and a power optimizer, so that data transmission delay and information loss can be introduced, the reliability of a monitoring system is highly dependent on the stable operation of the intermediate device, and the risk of disconnection of module data caused by the failure of the intermediate device exists. Disclosure of Invention In order to improve the efficiency of troubleshooting a photovoltaic module, the application provides a monitoring method, a monitoring system, a monitoring terminal and a monitoring medium based on direct communication of the photovoltaic module. In a first aspect, the application provides a monitoring method, a monitoring system, a monitoring terminal and a monitoring medium based on direct communication of a photovoltaic module, which adopt the following technical scheme: A monitoring method based on direct communication of a photovoltaic module comprises the following steps: Acquiring operation parameters of the photovoltaic intelligent component through a data detection module, wherein the operation parameters comprise operation voltage, operation current and operation temperature; transmitting the operating parameters to the data concentrator through the communication module; transmitting the operation parameters to a cloud server through a data concentrator; analyzing the operation parameters through the cloud server to obtain a fault weight score; Judging whether the fault weight score meets a preset condition or not; if not, acquiring a control instruction according to the fault weight score; And sending the control instruction to the photovoltaic intelligent component through the cloud server. By adopting the technical scheme, the direct collection and uploading of the operation parameters of the photovoltaic intelligent module are realized, the operation parameters are analyzed at the cloud server side, and the operation deviation between the module and the neighborhood can be quantitatively analyzed in fine granularity. Therefore, indirect diagnosis is not carried out by means of group cascade or third party intermediate equipment, the problems that a diagnosis link is interrupted, data distortion and component level faults cannot be accurately positioned are reduced, and fault judgment logic can directly fall on a single photovoltaic component layer. Therefore, the efficiency of troubleshooting the photovoltaic module is improved, and the module-level faults are rapidly identified and processed. Optionally, analyzing the operation parameter by the cloud server to obtain a fault weight score, including: setting corresponding position coordinates for each photovoltaic intelligent module according to the physical layout of the photovoltaic intelligent modules; establishing a data box at the current mome