Energy management in connected and disconnected mode of a photovoltaic system with a battery storage using an artificial neural network technique
| Autor: | Ahmed Mouhsen, Ezzitouni Jarmouni, Mohammed Lamhammedi, Zakarya Benizza |
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| Rok vydání: | 2021 |
| Předmět: |
Battery (electricity)
Renewable energy Control and Optimization Computer Networks and Communications Energy management Computer science business.industry Photovoltaic system Photovoltaic panel Electrical grid Neural network Automotive engineering Solar battery Bidirectional dc/dc Hardware and Architecture Signal Processing Electrical and Electronic Engineering Hybrid grid Energy source business Energy (signal processing) Information Systems |
| Zdroj: | Indonesian Journal of Electrical Engineering and Computer Science. 23:54 |
| ISSN: | 2502-4760 2502-4752 |
| DOI: | 10.11591/ijeecs.v23.i1.pp54-62 |
| Popis: | In order to reduce the inconvenience resulting from the use of the traditional energy sources (oil, gas and coal), the integration of renewable energy sources is among the better solutions. With the integration of green energy sources, there are several strategies that can be adopted, including the combination of clean energy sources (solar, wind, and biomass) with each other, or the combination of renewable sources with conventional sources. In this article, we focus on a photovoltaic system allowing the storage of energy in a battery with a coupling to the electrical grid. In order to overcome the problems related to the random operation that accompanies the use of photovoltaic systems, we have developed a control technique based on the use of artificial neural network technology. The complete system was designed and simulated on MATLAB Simulink. |
| Databáze: | OpenAIRE |
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