Study of the Influence of Load Profile Variation on the Optimal Sizing of a Standalone Hybrid PV/Wind/Battery/Diesel System
This paper presents a methodology to size and to optimize a stand-alone hybrid PV/Wind/Diesel/Battery bank minimizing the Levelized Cost of Energy (LCE) and the CO2 emission using a Multi-Objectives Genetic Algorithm approach. The main objective of this work is to study the influence of the load pro...
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Published in | Energy procedia Vol. 36; pp. 1265 - 1275 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2013
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Subjects | |
Online Access | Get full text |
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Summary: | This paper presents a methodology to size and to optimize a stand-alone hybrid PV/Wind/Diesel/Battery bank minimizing the Levelized Cost of Energy (LCE) and the CO2 emission using a Multi-Objectives Genetic Algorithm approach. The main objective of this work is to study the influence of the load profile variation on the optimal configuration. The methodology developed was applied using solar radiation, temperature and wind speed collected on the site of Gandon located in the northwestern coast of Senegal. Results show that, for the all load profiles, as the LCE increases the CO2 emission decreases. For the all solutions, the LCE was lower for the load profile 3 than for the load profiles 1 and 2. |
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ISSN: | 1876-6102 1876-6102 |
DOI: | 10.1016/j.egypro.2013.07.143 |