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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/8898
Title: An efficient parameters extraction technique of photovoltaic models for performance assessment
Authors: Kumar M.
Kumar A.
Published in: Solar Energy
Abstract: The accurate and efficient photovoltaic (PV) model is very crucial for performance assessment of solar PV (SPV) systems in embedded power system applications and maximum power point tracking. A five parameter single-diode and seven parameter double-diode models of SPV system for ensuring the reliable and accurate performance assessment are presented. Since these parameters are unknown, it is important to extract these parameters for accurate modeling of the SPV systems. The accurate parameter extraction using numerical method needs suitable initial values, for which an approximate analytical solution is provided which serves as an initial value. A hybrid approach of numerical and analytical solutions are utilized which require minimal information from the module datasheet. Moreover, the reciprocal of slope of I-V curve at short circuit and open circuit conditions is calculated, which further used in analytical and numerical algebraic equations of double-diode model to enhance the parameters extraction accuracy. This makes it a cheaper and efficient parameter extraction technique. The outcomes of both PV models are compared with the manufacturer, indoor and outdoor experimental results for validation. Further, the performance of both models has been assessed at different temperature and solar insolation for determining the best-suited model for characterizing the SPV system under given environmental conditions. Double-diode model has been found more accurate than single-diode model, particularly at low-level solar insolation. © 2017 Elsevier Ltd
Citation: Solar Energy (2017), 158(): 192-206
URI: https://doi.org/10.1016/j.solener.2017.09.046
http://repository.iitr.ac.in/handle/123456789/8898
Issue Date: 2017
Publisher: Elsevier Ltd
Keywords: Analytical and numerical solutions
Parameters extraction
PV characteristics
PV models
ISSN: 0038092X
Author Scopus IDs: 57199856354
57216775596
Author Affiliations: Kumar, M., Alternate Hydro Energy Centre, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Kumar, A., Alternate Hydro Energy Centre, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Funding Details: M.K. thanks Ministry of Human Resource and Development (MHRD), Government of India for providing financial support.
Corresponding Author: Kumar, M.; Alternate Hydro Energy Centre, Indian Institute of Technology RoorkeeIndia; email: naik.manish17@gmail.com
Appears in Collections:Journal Publications [HRE]

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