Sensitivity and reliability models of a PV system connected to grid
Nikita Gupta,
Rachana Garg and
Parmod Kumar
Renewable and Sustainable Energy Reviews, 2017, vol. 69, issue C, 188-196
Abstract:
With growing environmental concerns over the climate change risks associated with power generation using fossil fuels, solar power generation has emerged as one of the most rapidly growing renewable sources of electricity in the world. In recent technological advancements for improving the performance of PV system, efficiency improvement of solar PV cell and power converter stage has become a critical area of interest for researchers. Sensitivity and reliability studies of a system are important tools to evaluate the performance of the system. In this paper, sensitivity and reliability models of a grid-connected PV system are developed. Analytical relations of first order sensitivity are developed for PV cell and DC-DC converter. Further, reliability models are developed for individual components and for different configurations of PV system using Pareto analysis and logic gate representations. The main reference for electronic component reliability evaluation is MIL-HDBK-217 military handbook and MTBF calculator software by ALD. The developed models can be applied to any PV system to have a better insight.
Keywords: Photovoltaic (PV) system; Sensitivity; Reliability; MTBF; Failure rate; Redundancy (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1364032116308097
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:69:y:2017:i:c:p:188-196
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.2016.11.031
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 ().