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Provided by the Springer Nature SharedIt content-sharing initiative 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 Slime Mould Algorithm (SMA) was selected for this study due to its superior global search capability and adaptability in multi-objective optimization of complex power systems, as established in recent literature 14, 20.
The mathematical formulation of the Slime Mould Algorithm (SMA), including initialization, position updating, and fitness evaluation, is adopted from the original work in 14, with further enhancements and parameter tuning strategies incorporated from recent studies in 18, 17.
The overall objective function here is to Minimise [Pi] Subject to power flow, voltage and current magnitudes constraints. The reliability of the MG network is one of the trilemma subcomponents of energy security. Though in this study both power loss minimization and LPSP and voltage deviation index (VDI) are considered as energy security elements.
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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
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