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Hybrid Energy Microgrids: A Comparative Study of Optimization Techniques

This study examines the relative effectiveness of Genetic Algorithms (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), and Linear Programming (LP) in optimizing hybrid energy microgrids. Drawing upon empirical data derived from the study, the research explores many facets, including...

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Principais autores: Nemova Darya Viktorovna, Rao D. Siva Naga Malleswara, Singh Rajat, Bhardwaj Rishabh, Sharma Sorabh
Formato: Artigo
Idioma:Inglês
Publicado em: EDP Sciences 2024-01-01
coleção:E3S Web of Conferences
Assuntos:
hybrid energy microgrids
optimization techniques
genetic algorithms
renewable energy integration
microgrid resilience
Acesso em linha:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/41/e3sconf_amgse2024_01018.pdf
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