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태양광 발전소 사고상태 식별 방법에 관한 연구

Title
태양광 발전소 사고상태 식별 방법에 관한 연구
Other Titles
A Study on the Pv Plant Fault State Recognition by using Weather Corrected Linear Regression and Estimated Error Matrix
Author
김진오
Keywords
PV; O&M; Performance Index; Diagnosis; Assetmanagement
Issue Date
2019-07
Publisher
한국조명.전기설비학회
Citation
조명.전기설비학회논문지, v. 33, no. 7, Page. 48-56
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.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE08757651&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/152298
ISSN
1229-4691; 2287-5034
DOI
10.5207/JIEIE.2019.33.7.048
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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