Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage

This paper presents a novel strategy, optimized by genetic algorithms, to control stand-alone hybrid renewable electrical systems with hydrogen storage. The strategy optimizes the control of the hybrid system minimizing the total cost throughout its lifetime. The optimized hybrid system can be compo...

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Bibliographic Details
Published in:Renewable energy 2007-06, Vol.32 (7), p.1102-1126
Main Authors: Dufo-López, Rodolfo, Bernal-Agustín, José L., Contreras, Javier
Format: Article
Language:English
Subjects:
Applied sciences
Control strategies
Economic data
Electric energy
Energy
Energy economics
Energy. Thermal use of fuels
Equipments, installations and applications
Exact sciences and technology
General, economic and professional studies
Genetic algorithms
Hybrid systems
Natural energy
Photovoltaic conversion
Solar energy
Transport and storage of energy
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Summary:This paper presents a novel strategy, optimized by genetic algorithms, to control stand-alone hybrid renewable electrical systems with hydrogen storage. The strategy optimizes the control of the hybrid system minimizing the total cost throughout its lifetime. The optimized hybrid system can be composed of renewable sources (wind, PV and hydro), batteries, fuel cell, AC generator and electrolyzer. If the renewable sources produce more energy than the one required by the loads, the spare energy can be used either to charge the batteries or to produce H 2 in the electrolyzer. The control strategy optimizes how the spare energy is used. If the amount of energy demanded by the loads is higher than the one produced by the renewable sources, the control strategy determines the most economical way to meet the energy deficit. The optimization of the various system control parameters is done using genetic algorithms. This paper explains the strategy developed and shows its application to a PV–diesel–battery–hydrogen system.
ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2006.04.013