Fault detection system of photovoltaic inverter

Abstract

The embodiment of the utility model provides a fault detection system of a photovoltaic inverter. The system comprises a photovoltaic string unit, an inverter unit, an image acquisition unit, a weather acquisition unit and a power station management system. The photovoltaic string unit comprises a plurality of photovoltaic modules; the inverter unit is connected with a photovoltaic module of the photovoltaic string unit and is used for controlling the photovoltaic module to process a target state; and the power station management system is connected with the inverter unit, the image acquisition unit and the weather acquisition unit, and is used for receiving data of the image acquisition unit and the weather acquisition unit and outputting a fault detection result of the photovoltaic module and a corresponding risk coefficient.

Description

Technical Field

[0001] The utility model relates to the technical field of monitoring and early warning, and in particular to a fault detection system for a photovoltaic inverter. Background Art

[0002] With the increasing development of photovoltaic technology, photovoltaic power generation systems have been applied in many scenarios. In areas with certain terrain or special local conditions, photovoltaic modules are installed in a decentralized manner, and photovoltaic power stations need to be operated and maintained intelligently. Intelligent operation and maintenance can improve the efficiency, reliability and economy of photovoltaic power stations, while reducing maintenance costs.

[0003] During the operation of the photovoltaic power generation system, it is necessary to perform fault detection on the operating photovoltaic components to ensure the normal operation of the photovoltaic power generation system. The current fault detection system collects image data of the photovoltaic components through an image acquisition device, and then detects the image data for fault detection.

[0004] However, the above detection system is obviously affected by the weather when actually detecting image data. For example, under abnormal weather conditions, heavy rainfall, low light and other conditions, errors in luminous distribution detection may occur, resulting in many erroneous results in fault detection. Utility Model Content

[0005] In order to solve the above-mentioned technical problems that the current fault detection system is greatly affected by the weather and is prone to produce fault detection results errors under abnormal weather conditions, the utility model proposes a fault detection system for photovoltaic inverters, and its technical solution is as follows:

[0006] The utility model provides a photovoltaic inverter fault detection system, comprising: a photovoltaic string unit, an inverter unit, an image acquisition unit, a weather acquisition unit, and a power station management system;

[0007] The photovoltaic string unit includes a plurality of photovoltaic modules;

[0008] The inverter unit is connected to the photovoltaic components of the photovoltaic string unit and is used to control the photovoltaic components to process a target state;

[0009] The power station management system is connected to the inverter unit, the image acquisition unit, and the weather acquisition unit, and is used to receive data from the image acquisition unit and the weather acquisition unit, and output fault detection results of photovoltaic components and corresponding risk factors.

[0010] In an optional solution, the circuit management system includes an abnormal log database and an abnormal weather database of photovoltaic components.

[0011] In yet another optional solution, the circuit management system includes a correlation coefficient analysis unit for analyzing the correlation coefficient between the error log data in the abnormal log database and the abnormal weather data in the abnormal weather database.

[0012] In yet another optional solution, the fault detection system includes a ranking unit, configured to generate ranking results of a plurality of photovoltaic components.

[0013] In yet another optional solution, the image acquisition unit is connected to the sorting unit and is used to plan an image acquisition route according to the sorting result.

[0014] In yet another optional solution, the circuit management system includes a fault analysis unit configured to determine a fault detection result of the photovoltaic component based on the image data acquired by the image acquisition unit.

[0015] In yet another optional solution, the fault detection system comprises an alarm unit, and the alarm unit is connected to the power plant management system.

[0016] Beneficial effects:

[0017] When fault detection is performed on photovoltaic modules in photovoltaic string units, not only can the image data collected by the image acquisition unit be used to perform fault detection results on whether the photovoltaic modules are faulty, but also the weather data of the photovoltaic modules collected by the weather acquisition unit can be obtained. The weather data can be combined to further determine the risk factor corresponding to the fault detection result, so that the staff can further process the fault detection results with high risk factors. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the utility model or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the utility model. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a structural schematic diagram of a photovoltaic inverter fault detection system provided by an embodiment of this specification. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0021] In the following introduction, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application, and different embodiments can be replaced or combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments recorded. Therefore, if one embodiment includes features A, B, and C, and another embodiment includes features B and D, then the present application should also be considered to include embodiments containing one or more of all other possible combinations of A, B, C, and D, although the embodiment may not be clearly recorded in the following text.

[0022] The following description provides examples and does not limit the scope, applicability or examples set forth in the claims. Changes may be made to the functions and arrangements of the elements described without departing from the scope of the present application. Various processes or components may be appropriately omitted, substituted or added to each example. For example, the described method may be performed in an order different from the order described, and various steps may be added, omitted or combined. In addition, features described in some examples may be combined in other examples.

[0023] like Figure 1 As shown, the fault detection system of the photovoltaic inverter includes at least a photovoltaic string unit, an inverter unit, an image acquisition unit, a weather acquisition unit, and a power station management system, wherein:

[0024] A photovoltaic string unit includes several photovoltaic modules;

[0025] The inverter unit is connected to the photovoltaic components of the photovoltaic string unit and is used to control the photovoltaic components to process the target state;

[0026] The power station management system is connected with the inverter unit, the image acquisition unit and the weather acquisition unit, and is used to receive data from the image acquisition unit and the weather acquisition unit, and output fault detection results of the photovoltaic components and corresponding risk factors.

[0027] The photovoltaic string unit includes a plurality of photovoltaic modules, which can be understood as conventional photovoltaic power generation equipment in the art, and are connected in series or in parallel.

[0028] The inverter unit includes a single or integrated inverter, which is used to control the photovoltaic component to process the target state of the image data that can be collected, wherein the target state can be to put the photovoltaic component in the condition of no external light source, which is helpful for capturing the image data during detection, or it can be a voltage inversion state, and the inverter is used to apply a reverse voltage to both ends of the photovoltaic component, so as to realize the control of the photovoltaic component state switching to the voltage inversion state. In the voltage inversion state, the positive and negative poles of the photovoltaic component are reversed, so that the structure, defects or damage inside the material can be observed through the reverse effect of the voltage.

[0029] The power station management system is connected to the inverter unit, the image acquisition unit, and the weather acquisition unit, wherein the image acquisition unit can be a drone or other equipment, which collects image data of the photovoltaic component and transmits it to the power station management system. The weather acquisition unit can be a light intensity sensor: collecting light data, a rain gauge: collecting rainfall data, etc., or it can directly obtain data collected by the meteorological station, and then transmit the weather data to the power station management system. The power station management system is a conventional photovoltaic power station management system in this field. After determining the photovoltaic component to be detected in the target state, the staff can determine the fault detection result of the photovoltaic component based on the image data analysis of the photovoltaic component, and can also combine the influence of weather data on the fault detection result to further judge the risk factor of error in the fault detection result.

[0030] As another optional embodiment of the utility model, the circuit management system includes an abnormal log database and an abnormal weather database of the photovoltaic component. The abnormal log database stores the error log data in the historical power generation data of the photovoltaic component, and the abnormal weather database stores the abnormal weather data corresponding to the error log data. The error log data is the log data of the error generated when the photovoltaic component is detected for faults, wherein the error of the fault detection can be the error data between the detection result of the image data collected by the image acquisition terminal when the photovoltaic component is discharged daily and the standard result of the actual manual detection, or the error data between the detection result of the image data collected by the image acquisition terminal and the target standard result during the error test of the photovoltaic component. After extracting the error log data with errors, the corresponding abnormal weather data is extracted, wherein the abnormal weather data is the weather data of the photovoltaic component corresponding to the time corresponding to the error log data and the location corresponding to the error, wherein the abnormal weather data can include: rainfall, snowfall, light, fog concentration and other data.

[0031] As another optional embodiment of the utility model, the circuit management system includes a correlation coefficient analysis unit for analyzing the correlation coefficient between the error log data in the abnormal log database and the abnormal weather data in the abnormal weather database. For the calculation of the correlation coefficient between the error log data and the abnormal weather data, the error offset of the error data of the photovoltaic module and the standard data can be manually compared with the value of the corresponding abnormal data, and then the correlation coefficient between the error offset and each abnormal weather data is calculated in combination with the correlation coefficient such as the Pearson correlation coefficient or the Spearman correlation coefficient.

[0032] As another option of the embodiment of the utility model, the fault detection system includes a sorting unit for generating sorting results of a plurality of photovoltaic modules. The sorting unit may be a device such as a wireless positioning system, and for a plurality of photovoltaic modules, the sorting results of the photovoltaic modules may be determined based on the power generation demand, so as to perform distribution planning based on the sorting results.

[0033] As another option of the embodiment of the utility model, the image acquisition unit is connected to the sorting unit, and is used to plan the image acquisition route according to the sorting result. After receiving the sorting result of the photovoltaic components, the image acquisition unit can determine the corresponding image acquisition route according to the instruction of the sorting result when collecting image data of the photovoltaic components to be detected, thereby saving manual instructions for the image acquisition unit to move and improving the automation of the image acquisition unit in collecting images.

[0034] As another option of the embodiment of the utility model, the circuit management system includes a fault analysis unit, which is used to determine the fault detection result of the photovoltaic component based on the image data collected by the image acquisition unit. The fault analysis unit stores an algorithm for detecting the fault condition of the photovoltaic component based on the image data, including but not limited to an electroluminescent (EL) detection method, a voltage inversion state, and a detection method of applying a reverse voltage to both ends of the photovoltaic component through an inverter.

[0035] As another option of the embodiment of the utility model, the fault detection system includes an alarm unit, and the alarm unit is connected to the power station management system. The alarm unit may include a first alarm unit and a second alarm unit, the first alarm unit is used to alarm the fault detection result, and the second alarm unit is used to alarm the risk factor of the fault detection result.

[0036] Although the present invention has been described using the above preferred embodiments, they are not intended to limit the scope of protection of the present invention. Any person skilled in the art may make various changes and modifications to the above embodiments without departing from the spirit and scope of the present invention, and the changes and modifications still fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be based on the definition of the claims.

Claims

1. A photovoltaic inverter fault detection system, It is characterized in that include: Photovoltaic string unit, inverter unit, image acquisition unit, weather acquisition unit, power station management system; The photovoltaic string unit includes a plurality of photovoltaic modules; The inverter unit is connected to the photovoltaic components of the photovoltaic string unit and is used to control the photovoltaic components to process a target state; The power station management system is connected to the inverter unit, the image acquisition unit, and the weather acquisition unit, and is used to receive data from the image acquisition unit and the weather acquisition unit, and output fault detection results of photovoltaic components and corresponding risk factors.

2. The photovoltaic inverter fault detection system according to claim 1, It is characterized in that The fault detection system comprises an alarm unit, and the alarm unit is connected to the power station management system.

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