Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality

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Resumen

The increasing demand for electric power and heightened environmental protection awareness have rapidly grown distributed generation (DG) in recent years. Consequently, this research aims to investigate the optimal location and capacity for DG based on multiple objectives, such as the minimization of active power losses, the improvement of the voltage profile, and the cost reduction of the network. To this end, an algorithm inspired by the behavior of lion ants, known as the Ant Lion Optimizer (ALO), has been proposed as a possible solution. The ALO algorithm is a nature-inspired meta-heuristic that can provide near-optimal solutions for complex real-world optimization problems. Thus, the ALO algorithm is expected to provide solutions close to optimal while being computationally efficient.

Idioma originalInglés
Título de la publicación alojada2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350332117
DOI
EstadoPublicada - 2023
Evento2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldivas
Duración: 11 mar. 202312 mar. 2023

Serie de la publicación

Nombre2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Conferencia

Conferencia2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
País/TerritorioMaldivas
CiudadMale
Período11/03/2312/03/23

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© 2023 IEEE.

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