Published December 2014 | Version v1
Journal article

The estimation of I–V curves of PV panel using manufacturers' I–V curves and evolutionary strategy

Description

Highlights: • The approximation of a I–V curve by two linear and a sigmoid functions is proposed. • The sigmoid function is used to estimate the knee of the I–V curve. • Dependence on irradiance and temperature of sigmoid function parameters is proposed. • The sigmoid function is used to estimate maximum power point (MPP). - Abstract: The method for estimation of I–V curves of photovoltaic (PV) panel by analytic expression is presented in the paper. The problem is defined in the form of an optimization problem. The optimization problem objective is based on data from I–V curves obtained by manufacturers' or measured I–V curves. In order to estimate PV panel parameters, the optimization problem is solved by using an evolutionary strategy. The proposed method is tested for different PV panel technologies using data sheets. In this method the I–V curve approximation with two linear and a sigmoid function is proposed. The method for estimating the knee of the I–V curve and maximum power point at any irradiance and temperature is proposed

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2014.08.052

Additional details

Identifiers

DOI
10.1016/j.enconman.2014.08.052;
PII
S0196-8904(14)00776-6;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
88
Journal Page Range
p. 447-458
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46103537
Subject category
S14: SOLAR ENERGY;
Descriptors DEI
ANALYTICAL SOLUTION; DIAGRAMS; ELECTRIC CURRENTS; ELECTRIC POTENTIAL; OPTIMIZATION; PHOTOVOLTAIC EFFECT; RADIANT FLUX DENSITY; SOLAR COLLECTORS
Descriptors DEC
CURRENTS; EQUIPMENT; FLUX DENSITY; INFORMATION; MATHEMATICAL SOLUTIONS; PHOTOELECTRIC EFFECT; SOLAR EQUIPMENT

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.