干旱区生态环境知识资源中心(Arid): Data processing and quality verification for improved photovoltaic performance and reliability analytics

Arid

DOI	10.1002/pip.3349
	Data processing and quality verification for improved photovoltaic performance and reliability analytics
	Livera, Andreas; Theristis, Marios; Koumpli, Elena; Theocharides, Spyros; Makrides, George; Sutterlueti, Juergen; Stein, Joshua S.; Georghiou, George E.
通讯作者	Livera, A
来源期刊	PROGRESS IN PHOTOVOLTAICS
ISSN	1062-7995
EISSN	1099-159X
英文摘要	Data integrity is crucial for the performance and reliability analysis of photovoltaic (PV) systems, since actual in-field measurements commonly exhibit invalid data caused by outages and component failures. The scope of this paper is to present a complete methodology for PV data processing and quality verification in order to ensure improved PV performance and reliability analyses. Data quality routines (DQRs) were developed to ensure data fidelity by detecting and reconstructing invalid data through a sequence of filtering stages and inference techniques. The obtained results verified that PV performance and reliability analyses are sensitive to the fidelity of data and, therefore, time series reconstruction should be handled appropriately. To mitigate the bias effects of 10% or less invalid data, the listwise deletion technique provided accurate results for performance analytics (exhibited a maximum absolute percentage error of 0.92%). When missing data rates exceed 10%, data inference techniques yield more accurate results. The evaluation of missing power measurements demonstrated that time series reconstruction by applying the Sandia PV Array Performance Model yielded the lowest error among the investigated data inference techniques for PV performance analysis, with an absolute percentage error less than 0.71%, even at 40% missing data rate levels. The verification of the routines was performed on historical datasets from two different locations (desert and steppe climates). The proposed methodology provides a set of standardized analytical procedures to ensure the validity of performance and reliability evaluations that are performed over the lifetime of PV systems.
英文关键词	analytics data fidelity data inference data quality invalid values performance photovoltaics
类型	Article ; Early Access
语种	英语
开放获取类型	Other Gold
收录类别	SCI-E
WOS记录号	WOS:000575563000001
WOS关键词	MISSING-DATA ; IMPUTATION ; METHODOLOGY ; MODEL
WOS类目	Energy & Fuels ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向	Energy & Fuels ; Materials Science ; Physics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/328323
作者单位	[Livera, Andreas; Theocharides, Spyros; Makrides, George; Georghiou, George E.] Univ Cyprus, Dept Elect & Comp Engn, PV Technol Lab, FOSS Res Ctr Sustainable Energy, CY-1678 Nicosia, Cyprus; [Theristis, Marios; Stein, Joshua S.] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA; [Koumpli, Elena] SolarCentury, 90 Union St, London SE1 0NW, England; [Sutterlueti, Juergen] Gantner Instruments GmbH, Montafonerstr 4, A-6780 Schruns, Austria
推荐引用方式 GB/T 7714	Livera, Andreas,Theristis, Marios,Koumpli, Elena,et al. Data processing and quality verification for improved photovoltaic performance and reliability analytics[J].
APA	Livera, Andreas.,Theristis, Marios.,Koumpli, Elena.,Theocharides, Spyros.,Makrides, George.,...&Georghiou, George E..
MLA	Livera, Andreas,et al."Data processing and quality verification for improved photovoltaic performance and reliability analytics".PROGRESS IN PHOTOVOLTAICS