Cost Optimization of AC Microgrids in Grid-Connected and Isolated Modes Using a Population-Based Genetic Algorithm for Energy Management of Distributed Wind Turbines

Cost Optimization of AC Microgrids in Grid-Connected and Isolated Modes Using a Population-Based Genetic Algorithm for Energy Management of Distributed Wind Turbines

This research investigates the effectiveness of four metaheuristic algorithms, the Population-Based Genetic Algorithm, Particle Swarm Optimization, JAYA, and Generalized Normal Distribution Optimizer, for managing the energy production of wind-based distributed generators (DGs). The aim is to reduce...

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Bibliographic Details
Main Authors: Luis Fernando Grisales-Noreña, Héctor Pinto Vega, Oscar Danilo Montoya, Vanessa Botero-Gómez, Daniel Sanin-Villa
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
metaheuristic optimization
energy management
operational cost minimization
statistical analysis
energy systems
eolic generation
Online Access:https://www.mdpi.com/2227-7390/13/5/704
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