Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm

Multi-objective optimization of hybrid microgrid for energy trilemma goals using slime mould algorithm

Abstract This study presents a multi-objective optimization of a hybrid microgrid (HMG) targeting the energy trilemma goals—energy security, affordability, and sustainability—using the Slime Mould Algorithm (SMA). The proposed HMG integrates renewable energy sources, diesel generators, and electric...

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Bibliographic Details
Main Authors: Alok Kumar Shrivastav, Soham Dutta
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Carbon emission reduction
Distributed generation
Electric vehicle integration
Energy trilemma
IEEE 33-bus system
Levelized cost of energy
Online Access:https://doi.org/10.1038/s41598-025-15207-1
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https://doi.org/10.1038/s41598-025-15207-1

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