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http://dx.doi.org/10.5370/KIEE.2014.63.11.1545

Fault Location Diagnosis Technique of Photovoltaic Power Systems through Statistic Signal Process of its Output Power Deviation  

Cho, Hyun Cheol (Faulty of Electrical and Electronic Engineering, Ulsan College)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.11, 2014 , pp. 1545-1550 More about this Journal
Abstract
Fault detection and diagnosis (FDD) of photovoltaic (PV) power systems is one of significant techniques for reducing economic loss due to abnormality occurred in PV modules. This paper presents a new FDD method against PV power systems by using statistical comparison. This comparative approach includes deviation signals between the outputs of two neighboring PV modules. We first define a binary hypothesis testing under such deviation and make use of a generalized likelihood ratio testing (GLRT) theory to derive its FDD algorithm. Additionally, a recursive computational mechanism for our proposed FDD algorithm is presented for improving a computational effectiveness in practice. We carry out a real-time experiment to test reliability of the proposed FDD algorithm by utilizing a lab based PV test-bed system.
Keywords
Photovoltaic power systems; Fault detection and diagnosis; GLRT; Statistic signal process;
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Times Cited By KSCI : 1  (Citation Analysis)
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