Enhanced Microgrid Control through Genetic Predictive Control: Integrating Genetic Algorithms with Model Predictive Control for Improved Non-Linearity and Non-Convexity Handling

Microgrid (MG) control is crucial for efficient, reliable, and sustainable energy management in distributed energy systems. Genetic Algorithm-based energy management systems (GA-EMS) can optimally control MGs by solving complex, non-linear, and non-convex problems but may struggle with real-time app...

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Bibliografiske detaljer

Principais autores:	Muhammed Cavus, Adib Allahham
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-09-01
Serier:	Energies
Fag:	genetic algorithms (GA) genetic predictive control (GPC) energy management system (EMS) microgrid (MG) control model predictive control (MPC) non-linear systems
Online adgang:	https://www.mdpi.com/1996-1073/17/17/4458
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