Multi-objective DG placement in radial distribution systems using the IbI logic algorithm

This paper presents a unique optimization method based on the incomprehensible but intelligible-in-time (IbI) logic algorithm (ILA) to optimally place dispersed generators in small, medium, large, and very large (16-, 33-, 69-, and 118-bus) radial distribution power networks to reduce power losses, the total operating cost, and the voltage deviation and improve the voltage level. Two types of multiple distributed generators (DGs) are employed in this study, one working at unity power factor and the other at 0.866 p.f. The IbI logic algorithm works by understanding concepts that are not currently recognized as logical but are expected to become logical over time. The proposed approach was used to address a multi-objective multi-DG placement problem. The results generated through this method were compared with those generated by other methods and were observed to be comparatively remarkable.

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Publication Details

Journal
Frontiers in Energy Research
Published
2024-11-26
DOI
https://doi.org/10.3389/fenrg.2024.1453715
Citations
4
Primary Topic
Optimal Power Flow Distribution
Type
article
Field-Weighted Citation Impact
0.83
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article

Multi-objective DG placement in radial distribution systems using the IbI logic algorithm

Laxmi Srivastava, Manjaree Pandit, Nitin Kumar Saxena
4 citations
Frontiers in Energy Research
Optimal Power Flow Distribution
0.83
article

Multi-objective DG placement in radial distribution systems using the IbI logic algorithm

Laxmi Srivastava, Manjaree Pandit, Nitin Kumar Saxena
article en
4 citations

Abstract

This paper presents a unique optimization method based on the incomprehensible but intelligible-in-time (IbI) logic algorithm (ILA) to optimally place dispersed generators in small, medium, large, and very large (16-, 33-, 69-, and 118-bus) radial distribution power networks to reduce power losses, the total operating cost, and the voltage deviation and improve the voltage level. Two types of multiple distributed generators (DGs) are employed in this study, one working at unity power factor and the other at 0.866 p.f. The IbI logic algorithm works by understanding concepts that are not currently recognized as logical but are expected to become logical over time. The proposed approach was used to address a multi-objective multi-DG placement problem. The results generated through this method were compared with those generated by other methods and were observed to be comparatively remarkable.

Frontiers in Energy ResearchVol. 12
Atal Bihari Vajpayee Indian Institute of Information Technology and Management (IN)
Affordable and clean energy
Openalex Percentile: Top 26%
Optimal Power Flow Distribution
0.83
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