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Improved black widow-bear smell search algorithm (IBWBSA) for optimal planning and operation of distributed generators in distribution system

Sathish K. R. (Department of EEE, ATME College of Engineering, Mysore, India)
T. Ananthapadmanabha (NIE Institute of Technology, Mysore, India)

Journal of Engineering, Design and Technology

ISSN: 1726-0531

Article publication date: 22 March 2021

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Abstract

Purpose

This paper aims to propose, the multi-objective method for optimal planning and operation of distributed generators (DGs) on distribution system (DS) using hybrid technique is proposed.

Design/methodology/approach

The proposed hybrid technique denotes hybrid wrapper of black widow optimization algorithm (BWOA) and bear smell search algorithm (BSSA). BWOA accelerates the convergence speed with combination of the search strategy of BSSA; hence, it is named as improved black widow-bear smell search algorithm (IBWBSA) technique.

Findings

The multiple-objective operation denotes reducing generation cost, power loss, voltage deviation with optimally planning and operating the DS. For setting up the DG units on DS, IBWBSA technique is equipped to simultaneously reconfigure and find the optimal areas.

Originality/value

In this planning model, the constraints are power balance, obvious power flow limit, bus voltage, distribution substation’s capacity and cost. Then, proposed multiple-objective hybrid method to plan electrical distribution scheme is executed in the MATLAB/Simulink work site.

Keywords

Acknowledgements

Retraction notice: The publisher of the Journal of Engineering, Design and Technology wishes to retract the following article by Sathish K. R. and T. Ananthapadmanabha (2021), “Improved black widow-bear smell search algorithm (IBWBSA) for optimal planning and operation of distributed generators in distribution system”, published in the Journal of Engineering, Design and Technology, Vol. ahead-of-print, No. ahead-of-print, https://doi.org/10.1108/JEDT-09-2020-0362. It has come to our attention that there are concerns regarding the authorship of the article and the standard does not meet that expected by the journal; as such the findings cannot be relied upon. Despite numerous attempts to contact the authors, the journal has received no response; the response of the authors would be gratefully received. The publisher of the journal sincerely apologises to the readers.

Citation

K. R., S. and Ananthapadmanabha, T. (2021), "Improved black widow-bear smell search algorithm (IBWBSA) for optimal planning and operation of distributed generators in distribution system", Journal of Engineering, Design and Technology, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JEDT-09-2020-0362

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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