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Modeling and Operation of PV/Fuel Cell Standalone Hybrid System with Battery Resource

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Artificial Intelligence in Renewable Energetic Systems (ICAIRES 2017)

Abstract

The main challenge in replacing legacy systems with the newer alternatives is to capture maximum energy and deliver maximum power at minimum cost for the given load. Solar energy which is free and abundant in most parts of the world has proven to be an economical source of energy in many applications. Among the renewable energy technologies, the solar energy coupling with fuel cell technology will be the promising possibilities for the future green energy solutions. The new efficient photovoltaic array (PVA) has emerged as an alternative measure of renewable green power, energy conservation and demand-side management. However in photovoltaic power generation system the control problems arise due to large variances of output under different insulation. This problem can be overcome by hybrid photovoltaic generation system i.e. use of photovoltaic arrays with fuel cells and power storage such as battery bank. The stand-alone hybrid system aims to provide power efficiency supply to the consumers with a constant voltage and frequency along with proper power management using simple control techniques. The modeling and control strategies of the hybrid system are realized in MATLAB/Simulink.

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Acknowledgment

This work was financially supported by the ENERGARID and SGRE laboratory and Tahri Mohammed University Béchar 08000 ALGERIA, under the scientific Programme Project Electro-energetique Industrial Option Renewable Energy, 2015/2016.

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Correspondence to Saidi Ahmed .

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Ahmed, S., Benoudjafer, C., Benachaiba, C. (2018). Modeling and Operation of PV/Fuel Cell Standalone Hybrid System with Battery Resource. In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_31

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  • DOI: https://doi.org/10.1007/978-3-319-73192-6_31

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-73192-6

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