PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

S. Fadhel; Claude Delpha; Demba Diallo; I. Bahri; A. Migan; M. Trabelsi; M.F. Mimouni

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

S. Fadhel ¹ Claude Delpha ² Demba Diallo ¹ I. Bahri ¹ A. Migan ¹ M. Trabelsi M.F. Mimouni

1 GeePs - Laboratoire Génie électrique et électronique de Paris

2 L2S - Laboratoire des signaux et systèmes

Abstract : Health monitoring and diagnosis of photovoltaic (PV) systems is becoming crucial to maximise the power production, increase the reliability and life service of PV power plants. Operating under faulty conditions, in particular under shading, PV plants have remarkable shape of current-voltage (I-V) characteristics in comparison to reference condition (healthy operation). Based on real electrical measurements (I-V), the present work aims to provide a very simple, robust and low cost Fault Detection and Classification (FDC) method for PV shading faults. At first, we extract the features for different experimental tests under healthy and shading conditions to build the database. The features are then analysed using Principal Component Analysis (PCA). The accuracy of the data classification into the PCA space is evaluated using the confusion matrix as a metric of class separability. The results using experimental data of a 250 Wp PV module are very promising with a successful classification rate higher than 97% with four different configurations. The method is also cost effective as it uses only electrical measurements that are already available. No additional sensors are required.

Keywords : PV shading faults I-V curves Principal component analysis Fault detection Fault classification

Document type :

Journal articles

Domain :

Engineering Sciences [physics] / Signal and Image processing

Complete list of metadatas

https://hal-centralesupelec.archives-ouvertes.fr/hal-01970593
Contributor : Claude Delpha <>
Submitted on : Saturday, January 5, 2019 - 4:38:47 PM
Last modification on : Saturday, March 23, 2019 - 1:40:13 AM

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

Identifiers

Collections

Citation

Export

Metrics

50

Contact

PV shading fault detection and classification based on I-V curve using principal component analysis: Application to isolated PV system

Identifiers

Collections

Citation

Export

Share

Metrics

50

Contact