Genetic-Moth Swarm Algorithm for Optimal Placement and Capacity of Renewable DG Sources in Distribution Systems

This paper presents a hybrid approach based on the Genetic Algorithm (GA) and Moth Swarm Algorithm (MSA), namely Genetic Moth Swarm Algorithm (GMSA), for determining the optimal location and sizing of renewable distributed generation (DG) sources on radial distribution networks (RDN). Minimizing the...

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Bibliografiset tiedot

Päätekijät:	Emad Mohamed, Al-Attar Ali Mohamed, Yasunori Mitani
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Universidad Internacional de La Rioja (UNIR) 2019-12-01
Sarja:	International Journal of Interactive Multimedia and Artificial Intelligence
Aiheet:	Power Loss Radial Distribution System Renewable Distributed Generation Genetic-Moth Swarm Algorithm
Linkit:	https://www.ijimai.org/index.php/ijimai/article/view/6230
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