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Journal of the Korean Institute of Illuminating and Electrical Installation Engineers

ISO Journal TitleJ Korean Inst. IIIum. Electr. Install. Eng.
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  3. JIEIE 2019-07(Vol.33 No.07)
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Title A Study on the Pv Plant Fault State Recognition by using Weather Corrected Linear Regression and Estimated Error Matrix
Authors Jun-Hyun Shin; Jin-O Kim
DOI https://dx.doi.org/10.5207/JIEIE.2019.33.7.048
Page pp.48-56
ISSN 1225-1135
Keywords PV; O&M; Performance Index; Diagnosis; Assetmanagement
Abstract PV renewable energy penetration rate has been sharply increased based on the 3020 government policy. However, most of the pv plant output power is decreased due to the lack of the management tool and skills. IEC 61724-1 suggests PR index to evaluate the pv plant performance. But, PR index have a problem of fault recognition rate because of low value when low irradiation day. This paper present a linear regression method, temperature correction equation, estimation error matrix, clearness index and proposed variable index to classify the fault state of pv power plant.