Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/452
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dc.contributor.authorPerera, A. T. D-
dc.contributor.authorWickremasinghe, D. M. I.J-
dc.contributor.authorAttalage, R. A-
dc.contributor.authorMahindarathna, D. V. S-
dc.date.accessioned2022-01-04T07:23:29Z-
dc.date.available2022-01-04T07:23:29Z-
dc.date.issued2012-03-01-
dc.identifier.citationCited by 46en_US
dc.identifier.issn0360-5442-
dc.identifier.urihttp://localhost:80/handle/123456789/452-
dc.description.abstractWith higher depletion rates of fossil fuels and the ever growing environmental concerns on Green House Gas (GHG) emissions it has become important to investigate the impact of Internal Combustion Generator (ICG) capacity in Hybrid Energy System (HES)s for standalone applications. In order to accomplish this objective HES modeling, simulation, and optimization was done for three different system configurations based on the renewable energy source. Both mono and multi objective optimization was carried out using Evolutionary Algorithm considering Levelized Energy Cost (LEC) and unmet load fraction as objective functions. Results clearly depicts that seasonable variation of renewable energy sources having a strong impact on system component selection under higher power supply reliability which gradually reduce with the increase of ICG capacity.en_US
dc.language.isoenen_US
dc.publisherPergamonen_US
dc.relation.ispartofseriesEnergy;Vol. 39 Issue 1 403-411p.-
dc.subjectHybrid renewable energy systemen_US
dc.subjectEvolutionary algorithmen_US
dc.subjectMulti objective optimizationen_US
dc.subjectDispatch strategyen_US
dc.subjectSensitivityen_US
dc.subjectstandalone hybrid energy systemsen_US
dc.titleSensitivity of internal combustion generator capacity in standalone hybrid energy systemsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.energy.2011.12.039en_US
Appears in Collections:Research Papers - Department of Mechanical Engineering
Research Papers - SLIIT Staff Publications

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