The estimation of I–V curves of PV panel using manufacturers' I–V curves and evolutionary strategy
Creators
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.2014.08.052Additional 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.