Discrete harmony search based size optimization of Integrated Renewable Energy System for remote rural areas of Uttarakhand state in India |
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| Affiliation: | 1. Centre for Energy Sciences, Department of Mechanical Engineering, Faculty of Engineering, 50603 Kuala Lumpur University of Malaya, Malaysia;2. Mechanical Engineering Department, Collage of Engineering, King Saud University, 11421 Riyadh, Saudi Arabia;3. Dept. of Mechanical Engineering, Dhaka University of Engineering and Technology, Gazipur, 1700, Bangladesh;1. School of Mechanical and Energy Engineering, Tongji University, China;2. Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Taiwan;3. Key Laboratory of Gas Hydrate, Guangzhou Institute of Energy Conversion, China Academy of Sciences, China;1. Huadian Electric Power Research Institute, Hangzhou, Zhejiang 310030, China;2. Department of Energy Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China;3. Key Laboratory of Thermo-Fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi''an Jiaotong University, Xi''an 710049, China;1. Ocean Engineering and Technology Research Center, Iranian National Institute for Oceanography and Atmospheric Science, Tehran, Iran;2. Griffith School of Engineering, Gold Coast Campus, Griffith University, QLD, 4222, Australia |
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| Abstract: | In the recent years, decentralized power generation using locally available renewable energy resources has been recognized as a cost effective alternative of uneconomical grid extension. The present paper deals with the size optimization of Integrated Renewable Energy System (IRES) for a cluster of villages of Uttarakhand state in India. The proposed IRES consists of locally available renewable energy resources of Micro Hydro Power (MHP), biogas, biomass, wind and solar energy in order to meet the electrical and cooking demands of the study area. A system operation strategy has been developed in the paper for size optimization of IRES. Also, the loss of power supply probability (LPSP) has been used as the reliability criteria in order to ensure the continuous supply of power without any failure problems. Further, in order to utilize renewable energy resources in different contributions, four different resource scenarios are considered for the study area. Finally, the total net present cost (NPC) of the considered scenarios has been optimized using discrete harmony search (DHS) algorithm. Among different scenarios, MHP-biogas-biomass-wind-solar-battery based IRES offers the lowest net present cost of INR 49.0309 million at the estimated LCOE of INR 5.47/kWh. |
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| Keywords: | Renewable energy Net present cost Discrete harmony search Levelized cost of energy Loss of power supply probability |
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