HOMER Based Optimization of Solar-Wind-Diesel Hybrid System for Electrification in a Rural Village

被引:0
作者
Vendoti, Suresh [1 ]
Muralidhar, M. [2 ]
Kiranmayi, R. [3 ]
机构
[1] JNTUA, Dept EEE, Ananthapuramu, India
[2] SVCET, Dept EEE, Chittoor, India
[3] JNTUCEA, Dept EEE, Ananthapuramu, India
来源
2018 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI) | 2018年
关键词
Homer Pro Software; HRES; Rural Electrification; Cost Optimization; Sensitivity Analysis; RENEWABLE ENERGY SYSTEM; AREA; IRAN;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Electrification of rural and remote areas with limited or no access to grid connection is one of the most challenging issues in developing countries like India. As a result of the recent issues regarding the global climatic change and reduce fuel costs, finding out reliable, ecological friendly renewable energy sources to satisfy the rising energy demands has become important. The government of India initiated a large number of schemes for encouragement of renewable energy for power generation and to create energy options like coal, oil etc. Keeping these initiatives in mind, the present study is focused on optimization of hybrid (solar-wind-diesel) renewable energy systems in rural remote village Indiganatha in Chamarajanagar District of Karnataka State, India. The objective of the study is to minimize the total net present cost of generation and cost of energy using HOMER pro software. Sensitivity analysis is also carried out that helps to assess the effect of uncertainty or changes within the variables and finding the most optimal solution for hybrid energy system.
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页数:6
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