Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/452
Title: Sensitivity of internal combustion generator capacity in standalone hybrid energy systems
Authors: Perera, A. T. D
Wickremasinghe, D. M. I.J
Attalage, R. A
Mahindarathna, D. V. S
Keywords: Hybrid renewable energy system
Evolutionary algorithm
Multi objective optimization
Dispatch strategy
Sensitivity
standalone hybrid energy systems
Issue Date: 1-Mar-2012
Publisher: Pergamon
Citation: Cited by 46
Series/Report no.: Energy;Vol. 39 Issue 1 403-411p.
Abstract: With 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.
URI: http://localhost:80/handle/123456789/452
ISSN: 0360-5442
Appears in Collections:Research Papers - Department of Mechanical Engineering
Research Papers - SLIIT Staff Publications

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