Home > Published Issues > 2022 > Volume 11, No. 3, May 2022 >
IJEETC 2022 Vol.11(3): 210-217
doi: 10.18178/ijeetc.11.3.210-217

RETRACTED: A Method for Optimal Distributed Generation Allocation Considering Load Demand Uncertainties

Azaldo S. Machava 1, Keren K. Kaberere 1, and Gil A. Vilanculo 2
1. Pan African University Institute for Basic Sciences Technology and Innovation, Nairobi, Kenya
2. Department of Renewable Energy and Energy Efficiency, Electricidade de Mocambique, Maputo, Mozambique

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The IJEETC editorial office retracts the article entitled “A Method for Optimal Distributed Generation Allocation Considering Load Demand Uncertainties” [1].
Following publication, concerns were brought to the attention of the Editorial Office regarding a significant overlap with the paper [2] from the other author without appropriate acknowledgement or consent.
Adhering to our complaints procedure, an investigation was conducted by the Editorial Office and Editorial Board that confirmed a significant overlap of text, figures and tables between this article [1] and the paper [2] without appropriate acknowledgement or citation. As a result, the Editorial Office and Editorial Board have decided to retract this article [1].
This retraction was approved by the Editor-in-Chief of the journal IJEETC.
The authors agreed to this retraction.

 

References
1. Azaldo S. Machava, Keren K. Kaberere, and Gil A. Vilanculo. RETRACTED: A Method for Optimal Distributed Generation Allocation Considering Load Demand Uncertainties. IJEETC Vol. 11, No. 3, pp. 210-217, May 2022.
2. RODRIGOVIANABATISTA, LEANDRO R. DE ARAUJO, DÉBORA R. R. PENIDO. ALOCAÇÃO ÓTIMA DE GERADORES DISTRIBUÍDOS PARA REDUÇÃO DE PERDAS EM SISTEMASELÉTRICOSDE DISTRIBUIÇÃO CONSIDERANDO INCERTEZAS DA DEMANDA. [in Portuguese]. Available online: https://www.sba.org.br/open_journal_systems/index.php/cba/article/view/1736/1434 (accessed on May 11, 2024).


Abstract—This paper presents a method for optimally allocating distributed generators in power distribution networks for total loss minimization using genetic algorithms technique. In the optimization process, load demand uncertainties throughout the day were considered with the aim of representing appropriately the real operation of the distribution system, which allows a more careful evaluation of the optimal bus to allocate the DG. The proposed approach was implemented on the IEEE 13, IEEE 34, and IEEE 123 bus test systems, which possess characteristics inherent in distribution grids.

Index Terms—Distributed generators, power distribution systems, load demand uncertainties, loss minimization, optimization.

Cite: Azaldo S. Machava, Keren K. Kaberere, and Gil A. Vilanculo, "A Method for Optimal Distributed Generation Allocation Considering Load Demand Uncertainties," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 11, No. 3, pp. 210-217, May 2022. Doi: 10.18178/ijeetc.11.3.210-217


Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.

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