Integrated socio-environmental and techno-economic factors for designing and sizing of a sustainable hybrid renewable energy system

•Socio-environmental and techno-economic factors are proposed for system sizing.•Grasshopper Optimization Algorithm outperforms Particle Swarm optimization.•15.9% of the energy cost is incurred due to Socio-environmental factor.•Kurtosis value indicates that the proposed algorithm can escape local m...

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Veröffentlicht in:	Energy conversion and management 2021-11, Vol.247, p.114709, Article 114709
Hauptverfasser:	Maisanam, Anil Kumar Singh, Biswas, Agnimitra, Sharma, Kaushal Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alternative energy sources Biogas Carbon emission penalty Computer applications Computing time Converters Distributed generation Economic factors Economics Electrification Energy storage Environmental factors GOA Heuristic Heuristic methods Hybrid systems Kurtosis Land cost Levelized cost of energy Optimization Photovoltaic cells Problem solving PSO PV-BG-PHS system Renewable energy Renewable resources Robustness (mathematics) Sizing Sustainability Total net present cost Transmission loss
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