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Titre: | Hybrid system energy management and supervision based on fuzzy logic approach for electricity production in remote areas |
Auteur(s): | Berrazouane, Sofiane Mohammedi, K. |
Mots-clés: | energy managemen fuzzy logic renewable energy Hybrid systems Lead acid batteries Stochastic systems Battery banks Diesel generators Electrical power Electricity production Electricity supply Fuzzy logic approach Isolated areas Photovoltaic |
Date de publication: | 2012 |
Editeur: | IEEE |
Référence bibliographique: | 1st International Conference on Renewable Energies and Vehicular Technology, REVET 2012; Nabeul; Tunisia; 26 March 2012 through 28 March 2012; Code 89878 |
Collection/Numéro: | 2012, Article number 6195291;Pages 324-329 |
Résumé: | The uncertainty of the renewable resources is a major impediment for successful implementation them for generation an electrical power to supply an isolated area. The combination of several renewable sources (wind and photovoltaic) with a diesel generator is suited to electricity supply of remote areas. The purpose of a hybrid power system is to produce energy at all times requested by consumers and if possible to produce it from renewable sources, the stochastic nature of renewable energy makes fluctuation of real power on the network therefore on the frequency. This problem can be solved or avoided by satisfying the real power supply-demand balance constraint in the hybrid energy system. Using battery bank system can increase the penetration of renewable energy and absorb the rapid fluctuation due to the stochastic nature of renewable energy, that, it increases the difficulty of managing all these systems in real time, ensuring the quality of energy supplied. The objective of this work is to propose a methodology to design a fuzzy logic controller coupling with stateflow to improve its performances. |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080123456789/1673 |
ISBN: | 978-146731168-7 |
Collection(s) : | Communications Internationales
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