A Novel Fault Classification Approach for Photovoltaic Systems

Varaha Satya Bharath Kurukuru, Frede Blaabjerg, Mohammed Ali Khan and Ahteshamul Haque
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Varaha Satya Bharath Kurukuru: Advance Power Electronics Research Laboratory, Department of Electrical Engineering, Jamia Millia Islamia (A Central University), New Delhi 110025, India
Frede Blaabjerg: Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
Mohammed Ali Khan: Advance Power Electronics Research Laboratory, Department of Electrical Engineering, Jamia Millia Islamia (A Central University), New Delhi 110025, India
Ahteshamul Haque: Advance Power Electronics Research Laboratory, Department of Electrical Engineering, Jamia Millia Islamia (A Central University), New Delhi 110025, India

Energies, 2020, vol. 13, issue 2, 1-17

Abstract: Photovoltaic (PV) energy has become one of the main sources of renewable energy and is currently the fastest-growing energy technology. As PV energy continues to grow in importance, the investigation of the faults and degradation of PV systems is crucial for better stability and performance of electrical systems. In this work, a fault classification algorithm is proposed to achieve accurate and early failure detection in PV systems. The analysis is carried out considering the feature extraction capabilities of the wavelet transform and classification attributes of radial basis function networks (RBFNs). In order to improve the performance of the proposed classifier, the dynamic fusion of kernels is performed. The performance of the proposed technique is tested on a 1 kW single-phase stand-alone PV system, which depicted a 100% training efficiency under 13 s and 97% testing efficiency under 0.2 s, which is better than the techniques in the literature. The obtained results indicate that the developed method can effectively detect faults with low misclassification.

Keywords: photovoltaic system; fault classification; feature extraction; wavelet analysis; radial basis function networks (RBFN); kernels (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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