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.
Highlights
Over the last many years, fossil fuels are the major contributor to power generation throughout the world
For remote areas of Iran, the optimal size of a hybrid system consisting of SPV, wind, battery storage was performed by Maleki et al [46] via comparing different optimisation techniques such as particle swarm optimisation (PSO), modified PSO, PSO-RF, PSO-CF, PSO-W, harmony search (HS), Tabu Search (TS) and simulated annealing (SA)
K=1 where LK denotes land needed for installation of 1 kW of the kth renewable energy sources (RES) in m2/kW, ZK is the optimal size of the kth RES, NES is number of RESs considered in the proposed hybrid system
Summary
Over the last many years, fossil fuels are the major contributor to power generation throughout the world. For remote areas of Iran, the optimal size of a hybrid system consisting of SPV, wind, battery storage was performed by Maleki et al [46] via comparing different optimisation techniques such as PSO, modified PSO, PSO-RF, PSO-CF, PSO-W, HS, TS and SA. Abdelshafya et al [55] used a hybrid PSO–GWO (grey wolf optimisation) approach to develop an optimal grid-connected PV/ wind hybrid system to power the reverse osmosis desalination plant. In this regard, two different configurations such as PV/wind/ battery and PV/wind/hydrogen storage system are compared in respect of minimising cost as well as CO2 emission. The results have been compared with PSO and HS in MATLAB
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