Optimal Location of Battery Storage Systems to Minimize Losses in the Distribution System Considering Power Quality Indicators

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Resumen

The document presents the optimal allocation of Battery Energy Storage Systems (BESS) for radial distribution networks to reduce losses in the grid. The optimization process is performed using the genetic algorithm combined with the iterative forward-backward sweep-based power flow considering long-duration voltage variations as constraints. The proposed approach is performed using Matlab/Matpower to obtain the optimal allocation and sizing of BESS in the distribution network. The IEEE 25-bus system as a test model has been selected to carry out the analysis; the connection of BESS units, which captures the energy from renewable resources shows outstanding performance improving power quality.

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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Publisher Copyright:
© 2023 IEEE.

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