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Photovoltaic rapid detection and accurate diagnosis method based on maximum power point tracking data

A technology of maximum power point and tracking data, which is applied in photovoltaic power generation, instruments, and adjustment of electrical variables, etc., can solve the problems of untimely fault detection and location, high diagnosis cost, etc., reduce the possibility of inducing fire, short detection time, and maintenance safe effect

Active Publication Date: 2021-02-05
SOUTHEAST UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to solve the problem of untimely fault detection and positioning in the existing photovoltaic system and the high cost of diagnosis, and to provide a fast abnormal detection and accurate diagnosis method based on maximum power point tracking data

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  • Photovoltaic rapid detection and accurate diagnosis method based on maximum power point tracking data

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Embodiment Construction

[0045] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments. Such as figure 1 As shown, the method for rapid detection and accurate diagnosis of photovoltaics based on maximum power point tracking data in this embodiment can be easily embedded in existing commercial inverters, and the method includes the following steps in sequence:

[0046]S1: Establish a relationship model of the influence of common severe faults and partial shading on the output in photovoltaic systems, and consider the relationship characteristics of different mismatch levels in the two systems with or without blocking diodes;

[0047] S2: Realize abnormal situation detection based on the current drop between adjacent sampling intervals in the maximum power point tracking process, and determine an appropriate threshold considering the sampling frequency and disturbance step size;

[0048] S3:...

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Abstract

The invention discloses a photovoltaic rapid detection and accurate diagnosis method based on maximum power point tracking data. The method comprises the following steps: detecting abnormality based on instantaneous current drop of a maximum power point, and setting a threshold value while considering a sampling interval and a disturbance step length; utilizing the number of key working points andextreme points on a characteristic curve to distinguish occlusion and line faults, and further evaluating a fault degree; and according to a fault evaluation result, setting a working voltage to distinguish a fault string from a normal string so as to realize fault positioning. The detection method provided by the invention does not need to install additional data acquisition equipment, can be conveniently embedded into a commercial inverter, and is suitable for complex environments such as low irradiance, a low mismatch level and installation of blocking diodes, and meanwhile, extracted inflection point characteristics can effectively distinguish partial occlusion and line faults with similar characteristics, and unnecessary power-off protection is avoided. In addition, a fault positioning method provided by the invention can be used for quickly isolating the fault so that the safe operation of the system is ensured.

Description

technical field [0001] The invention relates to a photovoltaic rapid detection and accurate diagnosis method based on maximum power point tracking data, which belongs to the technical field of new energy sources. Background technique [0002] Due to its own unique advantages, photovoltaic power generation has become one of the fastest-growing energy sources. In recent years, it has been widely used in countries all over the world. A basic photovoltaic system is mainly composed of photovoltaic arrays, power conditioners, inverters, and cables connecting each unit. The series-parallel structure between components will seriously affect the operating efficiency of the system if any component is abnormal or faulty. Output and system safety and reliability, according to statistics, the annual loss of photovoltaic systems due to various failures can reach 18.9%. Therefore, condition monitoring and fault diagnosis are essential for the safe, reliable and efficient operation of phot...

Claims

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Application Information

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IPC IPC(8): G05F1/67
CPCG05F1/67Y02E10/56
Inventor 张侃健李晨曦陈昕怡方仕雄谢利萍张金霞葛健魏海坤
Owner SOUTHEAST UNIV
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