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      Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach

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          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.

          Most cited references55

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          Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system

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            Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm

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              Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems

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                Author and article information

                Contributors
                Journal
                IET-ESI
                IET Energy Systems Integration
                IET Energy Syst. Integr.
                The Institution of Engineering and Technology
                2516-8401
                25 March 2019
                24 April 2019
                September 2019
                : 1
                : 3
                : 158-172
                Affiliations
                [1 ] Department of Electrical Engineering, IKG Punjab Technical University , Kapurthala, Punjab 144601, India
                [2 ] Department of Electrical Engineering, Delhi Technological University , Delhi 110042, India
                [3 ] Department of Electrical Engineering, Giani Zail Singh Campus College of Engineering & Technology , Bathinda, Punjab 151001, India
                Author information
                https://orcid.org/0000-0002-7191-4163
                Article
                IET-ESI.2018.0053 ESI.2018.0053.R1
                10.1049/iet-esi.2018.0053
                49666eb2-0512-4c63-9600-284708e6bf84

                This is an open access article published by the IET and Tianjin University under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                History
                : 31 December 2018
                : 19 February 2019
                : 21 March 2019
                Page count
                Pages: 0
                Categories
                Research Article

                Computer science,Engineering,Artificial intelligence,Electrical engineering,Mechanical engineering,Renewable energy
                photovoltaic power systems,optimal sizing,battery storage plants,appropriate sizing,climate change,rural electrification,RES,solar/biomass/biogas/battery-based hybrid system,harmony search,greenhouse gas emissions,renewable energy sources,optimisation,utilisation,hybrid power systems,fossil fuels,optimal design,newly developed approach,hybrid model,issues including depletion,grey wolf optimisation approach,particle swarm optimisation,biofuel

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