A dynamic alarm threshold setting method for photovoltaic array and its application
Cao Yu,
Haizheng Wang,
Jianxi Yao,
Jian Zhao,
Qian Sun and
Honglu Zhu
Renewable Energy, 2020, vol. 158, issue C, 13-22
Abstract:
The setting of the alarm threshold is critical for photovoltaic (PV) fault diagnosis systems. In practice the prior knowledge is generally used to set the alarm threshold with a fixed value. However, the output of a PV array varies with the external environment, and the distribution of the array electrical parameters has obvious volatility and nonlinearity. Therefore, it is difficult to judge the abnormal state of the PV system under all working conditions by setting the alarm threshold to a fixed value. To solve this problem, this paper proposes a new method for setting the alarm threshold of a PV array output. In this paper, the dynamic variation of the PV array output under different environmental conditions is analyzed, quantile method is adopted to set the threshold of the PV array output, and the dynamic threshold is used to realize the abnormal state judgment of the PV array. Finally, the effectiveness of the proposed method is demonstrated by experimental verification in the actual PV system. The proposed method is simple in calculation and can adapt to dynamic changes in the PV output, which provides a new method for the threshold setting of PV system fault diagnosis systems.
Keywords: PV power Plant; Quantile method; Alarm threshold; Dynamic interval; Fault diagnosis (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148120307898
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:158:y:2020:i:c:p:13-22
DOI: 10.1016/j.renene.2020.05.091
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().