Optimizing Rural MG’s Performance: A Scenario-Based Approach Using an Improved Multi-Objective Crow Search Algorithm Considering Uncertainty

Optimizing Rural MG’s Performance: A Scenario-Based Approach Using an Improved Multi-Objective Crow Search Algorithm Considering Uncertainty

In recent years, the growth of utilizing rural microgrids (RMGs) has been accompanied by various challenges. These necessitate the development of appropriate models for optimal generation in RMGs and RMGs’ coordination. In this paper, two distinct models for RMGs are presented. The first model inclu...

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Bibliographic Details
Main Authors: Mohammad Hossein Taabodi, Taher Niknam, Seyed Mohammad Sharifhosseini, Habib Asadi Aghajari, Seyyed Mohammad Bornapour, Ehsan Sheybani, Giti Javidi
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Energies
Subjects:
correlation
Crow Search Algorithm
distributed power generation
microgrid
optimization
uncertainty
Online Access:https://www.mdpi.com/1996-1073/18/2/294
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