Modeling of photovoltaic modules using a gray-box neural network approach
| Autor: | M Aleksandar Rankovic, N Dragan Cetenovic |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Gray box testing
photovoltaic module Artificial neural network output power functional approximator Renewable Energy Sustainability and the Environment Computer science business.industry 020209 energy lcsh:Mechanical engineering and machinery Photovoltaic system 02 engineering and technology 7. Clean energy Gray-Box model data clustering 0202 electrical engineering electronic engineering information engineering lcsh:TJ1-1570 business artificial neural networks Computer hardware |
| Zdroj: | Thermal Science, Vol 21, Iss 6 Part B, Pp 2837-2850 (2017) |
| ISSN: | 2334-7163 0354-9836 |
| Popis: | This paper proposes a gray-box approach to modeling and simulation of photo-voltaic modules. The process of building a gray-box model is split into two components (known, and unknown or partially unknown). The former is based on physical principles while the latter relies on functional approximator and data-based modeling. In this paper, artificial neural networks were used to construct the functional approximator. Compared to the standard mathematical model of photovoltaic module which involves the three input variables - solar irradiance, ambient temperature, and wind speed- a gray-box model allows the use of additional input environmental variables, such as wind direction, atmospheric pressure, and humidity. In order to improve the accuracy of the gray-box model, we have proposed two criteria for the classification of the daily input/output data whereby the former determines the season while the latter classifies days into sunny and cloudy. The accuracy of this model is verified on the real-life photo-voltaic generator, by comparing with single-diode mathematical model and artificial neural networks model towards measured output power data. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. III-42009] |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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