Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach. Issue 3 (24th April 2019)

• Record Type: Journal Article
• Authors: Anand, Priyanka; Rizwan, Mohammad; Bath, Sarbjeet Kaur
• Is Part Of: IET energy systems integration. Volume 1:Issue 3(2019)
• Page Start: 158
• Page End: 172
• Publication Date: 2019-04-24
• Subjects: fossil fuels -- hybrid power systems -- photovoltaic power systems -- renewable energy sources -- optimisation -- particle swarm optimisation -- battery storage plants -- biofuel; utilisation -- renewable energy sources -- RES -- issues including depletion -- fossil fuels -- 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 -- particle swarm optimisation -- rural electrification -- grey wolf optimisation approach; Power resources -- Periodicals; Energy conservation -- Periodicals; Power resources; Energy conservation; Periodicals; 333.79
• DOI: 10.1049/iet-esi.2018.0053
• Languages: English
• ISSNs: 2516-8401

Abstract

Abstract : 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.