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학술지 Analysis of Data Errors in the Solar Photovoltaic Monitoring System Database: An Overview of Nationwide Power Plants in Korea
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저자
최종우, 이일우, 차석원
발행일
202203
출처
Renewable and Sustainable Energy Reviews, v.156, pp.1-17
ISSN
1364-0321
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.rser.2021.112007
협약과제
20PR4500, 태양광 보급확대를 위한 국내 태양광발전시스템 빅데이터 기반의 유지관리비용 저감기술 개발, 이일우
초록
Management services for solar photovoltaic power plants (PVs) have become an important issue in today's era of increasing PV installations. The existence of error-free data is necessary for data-driven PV management; however, real-world data contain an unignorable portion of errors, thereby reducing the reliability of corresponding analyses. A report on the plausible errors within the data is necessary to help PV administrators configure proper data cleaning algorithms. This study provides an error case report derived from an analysis of nearly 2000 PVs distributed throughout Korea. Real error cases are categorized according to their causes and symptoms. The effect of typical errors on the data-driven PV analysis is particularly evaluated for the day-ahead hourly PV power forecast. Errors in the system specification data significantly decrease the forecast accuracy, thereby addressing the impact of human errors. Regression imputation in the time domain demonstrates acceptable results as a simple ad-hoc method in most error situations.
키워드
Data error, Data imputation, Database, Monitoring system, Solar photovoltaic power
KSP 제안 키워드
Ad hoc, Case report, Data Cleaning, Data errors, Data-Driven, Forecast Accuracy, Free Data, Human error, Management services, Monitoring system, PV Analysis