Development of hybrid energy system with cycle charging strategy using particle swarm optimization for a remote area in India |
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| Affiliation: | 1. Department of Physics, School of Exact Sciences, National University of Salta, Bolivia Avenue #5150, 4400 Salta Capital, Salta, Argentina;2. GERSolar, Institute of Ecology and Sustainable Development, Basic Sciences Department, National University of Lujan, Route 5 and Constitución Avenue, 6700 Luján, Buenos Aires, Argentina;3. Grupo de Pesquisas em Fontes Alternativas de Energía, Universidade Federal de Pernambuco, Av. Prof. Luiz Freire 1000, 50740-540 Recife, PE, Brazil;1. School of Materials Science and Engineering, Dalian University of Technology, Dalian 116023, China;2. Key Laboratory for Solar Energy Photovoltaic System of Liaoning Province, Dalian 116023, China;3. Department of Physics, Balochistan University of Information Technology, Engineering & Management Sciences, Quetta, Pakistan;4. Qingdao Longsun Silicon Technology Ltd., Qingdao 266000, China;5. Carbon Research Laboratory, Liaoning Key Lab for Energy Materials and Chemical Engineering, State Key Lab of Fine Chemicals, Dalian University of Technology, Dalian 116024, China;1. Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran;2. Industrial and Systems Engineering Graduate Program, Pontifical Catholic University of Parana, Curitiba, PR, Brazil;3. Department of Electrical Engineering, Federal University of Parana, Curitiba, PR, Brazil |
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| Abstract: | In recent years, renewable energy can be seen as one of the important prospect of today's research, as it is likely to enlighten the lives of millions of people by fulfilling demand of electricity in their daily life. The present work focuses on the development of optimal hybrid energy system sizing model based on comparative analysis of particle swarm optimization, genetic algorithm and Homer software for energy index ratio of 1. The model also incorporates renewable fraction, emissions of carbon di oxide from diesel generator, net present cost and cost of energy. The system is developed to supply the demand of 7 un-electrified villages of Dhauladevi block of Almora district in Uttarakhand, India with the help of the available resources of solar, hydro, biomass and biogas energy along with the addition of diesel generator, for meeting out the energy deficit. From the optimization results, minimum cost of energy and maximum renewable fraction are obtained as 5.77 Rs/kWh and 92.6% respectively. |
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| Keywords: | Hybrid energy system (HES) Net present cost (NPC) Cost of energy (COE) Renewable fraction (RF) Particle swarm optimization (PSO) |
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