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An 18 kW solar array research facility for fault detection experiments

Published on Apr 1, 2016 in MELECON (Mediterranean Electrotechnical Conference)
· DOI :10.1109/MELCON.2016.7495369
Sunil Rao4
Estimated H-index: 4
(ASU: Arizona State University),
David Ramirez Dominguez5
Estimated H-index: 5
(ASU: Arizona State University)
+ 8 AuthorsAndreas Spanias28
Estimated H-index: 28
(ASU: Arizona State University)
Abstract
Monitoring utility-scale solar arrays was shown to minimize cost of maintenance and help optimize the performance of the array under various conditions. In this paper, we describe the design of an 18 kW experimental facility that consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. Research planned at this stage includes developing machine learning methods for fault detection. Preliminary simulation results on fault detection using machine learning are given in this paper.
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