Abstract
ABSTRACT Limited access to electricity is a prevalent challenge in rural areas of most developing countries. This is majorly a result of economic, logistic and topographic challenges that limit the extension of grid network to such areas. The use of renewable energy sources (RES) to supply electricity to individual home is considered to be the best rural electrification approach since these resources are readily available and their sustainability can be ensured. Technical and non-technical analyses are carried out in hybrid optimization of multiple energy resources (HOMER) pro software to determine optimal configuration of renewable energy sources. The Particle swarm optimization (PSO) method has been implemented in MATLAB for the minimization of net present cost (NPC) under the given scenarios. In HOMER, total NPCs for solar photovoltaic system (SPV) and diesel generator (DG) of the same capacities are $ 3,013 and $ 28,116, respectively. In the PSO technique, costs are reduced to $ 2,089 and $ 19,488, respectively. This study will be a milestone for rural electrification.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
