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|Title:||Techno-Economic Modeling of Integrated Renewable Energy System using Adaptive Inertia Weight based PSO|
|Keywords:||Carbon Emission;Isolated area electrification;LCE;PSO|
|Abstract:||Augmented carbon emission rate and perpetual damage to the global environment has paved way to the execution of renewable energy sources irrespective of their erratic nature. Exploration of suitable integrated renewable energy (IRE) model to be developed in an isolated area with minimum cost of energy has emerged as one of the biggest challenge. In the present work, An IRE model consisting of Photovoltaic, Biomass and Biogas system has been proposed for off-grid isolated area electrification. In order to emphasise economic aspects of modeling, levelized cost of energy (LCE) has been taken forth as an important factor. Adaptive Inertia weight based particle swarm optimization (PSOw) technique has been adopted to curtail the total cost of generation. Cost of Energy for four Blocks under consideration were found to be 4.48 Rs/KWhr, 4.52 Rs/KWhr, 4.57 Rs/KWhr and 4.49 Rs/KWhr. The results reveal that the Cost of Energy is minimal when compared to the existing cost of energy Rs 6.70/KWhr (>250 KWhr) for domestic purpose in the study area.|
|ISSN:||0975-1084 (Online); 0022-4456 (Print)|
|Appears in Collections:||JSIR Vol.79(07) [July 2020]|
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