Parameter estimation of solar photovoltaic (PV) cells: A review
A. Rezaee Jordehi
Renewable and Sustainable Energy Reviews, 2016, vol. 61, issue C, 354-371
Abstract:
The contribution of solar photovoltaics (PV׳s) in generation of electric power is continually increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model parameters of PV cells is crucial for performance evaluation, control, efficiency computations and maximum power point tracking of solar PV systems. The problem of finding circuit model parameters of solar PV cells is referred to as “PV cell model parameter estimation problem,” and is highly attracted by researchers. In this paper, the existing research works on PV cell model parameter estimation problem are classified into three categories and the research works of those categories are reviewed. Based on the conducted review, some recommendations for future research are provided.
Keywords: Solar energy; Solar PV parameter estimation; Photovoltaic systems; Optimisation (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (75)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032116300016
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:rensus:v:61:y:2016:i:c:p:354-371
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/bibliographic
http://www.elsevier. ... 600126/bibliographic
DOI: 10.1016/j.rser.2016.03.049
Access Statistics for this article
Renewable and Sustainable Energy Reviews is currently edited by L. Kazmerski
More articles in Renewable and Sustainable Energy Reviews from Elsevier
Bibliographic data for series maintained by Catherine Liu ().