Research on DC Arc Fault Detection Technology for Photovoltaic Systems Based on IHD
Series arc faults are an important cause of electrical fires in photovoltaic systems,therefore arc fault detection has become one of the hot research fields.The existing detection methods mainly use the physical characteristics of the arc itself and the time-frequency domain characteristics of the arc current to detect arc faults.Among them,the detection method based on the time-frequency domain characteristics of the DC arc fault arc in the application of distributed photovoltaic power generation systems has complex scenes and numerous components.Normal switch actions and load changes may lead to misjudgment,and the threshold cannot adapt to the environment.The universality of the feature quantity used to identify series arc faults is poor.A DC series arc fault detection method using improved Hausdorff dimension is proposed to address this issue,which has the advantages of strong universality and low computational complexity.The Hausdorff dimension plays an important role in fractal dimension theory,which is commonly used to measure the dimensionality of datasets with fractal characteristics.Firstly,the line current signal collected during arc faults is subjected to fast Fourier transform.The frequency band with the most obvious fault characteristics is selected,filtered and normalized as input to obtain the improved Hausdorff dimension calculation result.Based on its value,the presence of DC series arc can be determined,and the average accuracy of this method can reach 98.1%.
DC series arcdistributed photovoltaic generationarc detectionIHD
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