August 22, 2025Journal of low frequency noise, vibration and active controlOpen Access

Techno-economical optimization of hybrid PV/wind/battery system using multi-objective water cycle algorithm

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The optimized hybrid micro grid system improves energy management with reduced cost of electricity and loss of power supply probability.
Performance metrics showed lower cost of electricity and loss of power supply probability after applying the multi-objective water cycle algorithm.
Assessment involved various scenarios with uncertainties in renewable energy resources, focusing on the economic viability of the system.
Comparative analysis indicated that the multi-objective water cycle algorithm outperformed other methods in optimizing renewable energy integration.

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Implication

Analysis finds improvements in cost of electricity and reliability in hybrid micro grid systems, suggesting enhanced integration of renewable energy resources.

Cite This Study

Saleh et al. (2025) studied this question.

synapsesocial.com/papers/68af70687567bf4f94febd14 https://doi.org/10.1177/14613484251367207

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Implication

Analysis finds improvements in cost of electricity and reliability in hybrid micro grid systems, suggesting enhanced integration of renewable energy resources.

Techno-economical optimization of hybrid PV/wind/battery system using multi-objective water cycle algorithm

Key Points

Discussion

Implication

Cite This Study

Techno-economical optimization of hybrid PV/wind/battery system using multi-objective water cycle algorithm

Key Points

Discussion

Implication

Cite This Study