A Fault Diagnosis Method for Photovoltaic Power Plant Based on Data Analysis

Abstract

The invention discloses a data analysis-based fault diagnosis method of a photovoltaic power station. The data analysis-based fault diagnosis method is characterized in that whether a second-layer fault diagnosis process is executed or not is controlled through a first-layer fault diagnosis process by a hierarchical fault diagnosis method; a third-layer fault diagnosis process is controlled by a second-layer process; and when the detection result of one layer is that a system normally works, diagnosis of the next layer is not carried out and the range of a fault problem is reduced layer by layer. Diagnosis operation is carried out through a statistical data probability distribution-based relationship to obtain a diagnosed confidence interval; fault detection and positioning are carried out through characteristic parameters of photovoltaic power generation equipment; and quantitative identification of a fault is achieved. By the control method disclosed by the invention, the fault diagnosis speed can be improved; the efficiency is relatively high; meanwhile, the online monitoring diagnosis accuracy and availability on the photovoltaic power station are greatly improved; and the control method has great field engineering application value.

Description

technical field [0001] The invention relates to a method for fault diagnosis of photovoltaic power plants based on data analysis, which belongs to the technical field of photovoltaic power generation Background technique [0002] In recent years, photovoltaic power generation has been vigorously developed as a renewable clean energy power generation. At present, photovoltaic power generation is mainly divided into rooftop and large-scale ground power stations, and most of the ground power stations are desert power stations, and most of them are unattended or few people are on duty. With the large-scale construction of photovoltaic power stations, problems such as frequent equipment failures, unsteady operation of equipment, untimely response to equipment failures, and low performance of equipment have occurred. These problems will affect the overall power generation of the power station and bring direct impact to users economic loss. [0003] At present, in the data acquis...

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Problems solved by technology

With the large-scale construction of photovoltaic power stations, problems such as frequent equipment failures, unsteady operation of equipment, untimely response to equipment failures, and low performance of equipment have occurred. These problems will affect the overall power generation of the power station and bring direct impact to users economic loss

[0003] At present, in the data acquisition and monitoring system for photovoltaic power generation systems, there is a lack of effective fault diagnosis and positioning methods. Fault detection mainly relies on manual inspection and manual measurement and comparison through multimeters. The fault processing cycle is long, affecting power generation output and maintenance efficiency. Low, high manpower

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