Hybrid Optimization Strategy for Optimal Location and Sizing of DG in Distribution Networks

Hybrid Optimization Strategy for Optimal Location and Sizing of DG in Distribution Networks

Objective: In this paper, is present a hybrid optimization methodology for the optimal location and sizing of distributed generators (DGs) in electrical distribution networks. We propose a mixed-integer nonlinear problem (MINLP) model for the mathematical formulation, whose objective function is the...

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Bibliographic Details
Main Authors: Walter Gil-González, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Carlos Alberto Ramírez Vanegas, Alexander Molina Cabrera
Format: Article
Language:Spanish
Published: Universidad Distrital Francisco Jose de Caldas 2020-10-01
Series:Tecnura
Subjects:
chu-beasley genetic algorithm
distributed generation
hybrid optimization
master–slave algorithm
optimal power flow
radial distribution networks
Online Access:https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/16606

Internet

https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/16606

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