EU PVSEC Programme Online
EU PVSEC 2021, 6 - 10 September 2021
Presentation: 5CO.9.1 Analysis of Automatic Fault Detection Methods for Commercially Operated PV Power Plants
Type: Oral
Date: Wednesday, 8th September 2021
08:30 - 10:00
Author(s): E.A. Sarquis Filho, K. Kiefer, N. Holland, B. Kollosch, B. Müller, P.J. Costa Branco
Presenter / Speaker: E.A. Sarquis Filho, Lisbon University, Lisbon, Portugal
Event: Conference Conference
Session: 5CO.9 Advanced Monitoring and Fault Detection in PV Systems
Topic: 5. 3 Operation, Performance and Maintenance of PV Systems
Keywords: PV System, System Performance, Defects, Operation and Maintenance, Automatic Detection
Summary / Abstract: Automatic fault detection (AFD) is a key technology to optimize the Operation and Maintenance of photovoltaic (PV) systems portfolios. Although several recent studies suggest methods and procedures for automatic fault detection, they lack a common basis for testing their effectiveness under real operating conditions. In this study, we have selected and implemented a list of methods suitable for the data available in the standard monitoring of commercial systems. The performance of these methods was tested using measurements collected over 58 months on 85 rooftop-type PV systems installed in Germany. The maintenance records from these systems were used to measure the accuracy of the fault detection alerts and to analyze the sensitivity and specificity of each method. The best performing was able to identify almost one third (29.6%) of the faults observed in PV systems with an average of 15.8% false alerts. The method with the least false alerts (11.7%) could identify 19% of the faults. The AFD methods tested show different sensitivity depending on the type of fault, which suggests that a combination of methods can increase the overall sensitivity.