Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approachInspec keywordsOther keywords

被引：43
作者：
Anand, Priyanka [1 ]
Rizwan, Mohammad [2 ]
Bath, Sarbjeet Kaur [3 ]
机构：
[1] IKG Punjab Tech Univ, Dept Elect Engn, Kapurthala 144601, Punjab, India
[2] Delhi Technol Univ, Dept Elect Engn, Delhi 110042, India
[3] Giani Zail Singh Campus Coll Engn Technol, Dept Elect Engn, Bathinda 151001, Punjab, India
来源：
IET ENERGY SYSTEMS INTEGRATION | 2019年 / 1卷 / 03期
关键词：
fossil fuels; hybrid power systems; photovoltaic power systems; renewable energy sources; optimisation; particle swarm optimisation; battery storage plants; biofuel; utilisation; RES; issues including depletion; greenhouse gas emissions; climate change; appropriate sizing; hybrid model; newly developed approach; optimal sizing; optimal design; solar; biomass; biogas; battery-based hybrid system; harmony search; rural electrification; grey wolf optimisation approach;
D O I：
10.1049/iet-esi.2018.0053
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The utilisation of renewable energy sources (RES) in increasing drastically because of various issues including depletion of fossil fuels, greenhouse gas emissions, climate change and so on. As the power generated from RES is fluctuating in nature, therefore, the appropriate sizing of the hybrid model based on RES is utmost important. In this study, the grey wolf optimisation, a newly developed approach is used for the optimal sizing of the hybrid model. In this work, the optimal design of solar/biomass/biogas/battery-based hybrid system has been carried out to supply continuous electricity to various households of a cluster of villages of Haryana state of India. The results obtained from the proposed model have been compared with harmony search and particle swarm optimisation and found better.
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收藏
页码：158 / 172
页数：15
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