A detailed step-by-step electrical parameters identification method for photovoltaic generators using a combination of two approaches
| Autor: | Mohamed Salah Ait Cheikh, Selma Tchoketch Kebir, Mourad Haddadi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Identification
Physics and Astronomy (miscellaneous) Computer science lcsh:T 020209 energy Data acquisition Control engineering Least Squares PSO algorithm 02 engineering and technology 021001 nanoscience & nanotechnology lcsh:Technology Levenberg-Marquardt Identification (information) Management of Technology and Innovation 0202 electrical engineering electronic engineering information engineering Photovoltaic Generators lcsh:Q Photovoltaic generator 0210 nano-technology lcsh:Science Engineering (miscellaneous) |
| Zdroj: | Advances in Science, Technology and Engineering Systems, Vol 3, Iss 4, Pp 44-52 (2018) |
| ISSN: | 2415-6698 |
| Popis: | The object of this paper is to identify the unknown electrical parameters of solar photovoltaic generators in real time, through the application of a novel suggested hybrid method. The identification process is discussed with details, about the four steps of identification. In this issue, the first step describes the experimental data acquisition work done to obtain data from a real photovoltaic system. For the second step, a model of a cell’s corresponding electrical circuit is selected. In the third step, the estimation of the parameters ‘values is done using two combined optimization approaches, such as Levenberg-Marquardt combined with Particle Swarm Optimization. The fourth step describes the validation of the selected model. The benefit of this work compared to those before, is in the use of real data, in the use of smart optimization technics and the hybridization between two methods, which provides best results. |
| Databáze: | OpenAIRE |
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