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.

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Anand, P., Rizwan, M., & Bath, S. K. (2019). Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach. IET Energy Systems Integration, 1(3), 158–172. https://doi.org/10.1049/iet-esi.2018.0053

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