Multi-objective hunter prey optimizer technique for distributed generation placement

Accommodation of distributed generation (DG) units in the distribution power network (DPN) reduces the power losses (PL), improves the voltage profile (VP), and enhances the stability. The size and site for distribution generations have to be optimized to avail favorable results. Otherwise, the DPN may experience greater power losses, higher voltage deviation, and voltage instability issues. This article implements an optimization technique using a hunter-prey optimizer (HPO) algorithm to optimize single and multiple (two) DG units in the radial DPN to minimize total real power losses (RPL) and total voltage deviation (TVD). The effectiveness of the HPO algorithm is assessed on the IEEE benchmark 69-bus radial DPN and a real-world Cairo-59 bus RDS. The simulation outcome after the optimized inclusion of DGs shown significant RPL reduction and considerable voltage enhancement. Furthermore, the optimized results of HPO algorithm were compared to the different algorithms and the comparison proved that the HPO can provide a more promising and authentic outcome than other algorithms.

Authors

Institutions

Publication Details

Journal
International Journal of Applied Power Engineering (IJAPE)
Published
2024-12-13
DOI
https://doi.org/10.11591/ijape.v14.i1.pp146-154
Primary Topic
Optimization and Search Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-objective hunter prey optimizer technique for distributed generation placement

D. Kesavan, Rajakumar Palanisamy, S. P. Raja, Sudhakiran Ponnuru et al.
International Journal of Applied Power Engineering (IJAPE)
Optimization and Search Problems
article

Multi-objective hunter prey optimizer technique for distributed generation placement

D. Kesavan, Rajakumar Palanisamy, S. P. Raja, Sudhakiran Ponnuru, Sakthidasan Arulprakasam, Jovin Deglus
article en

Abstract

Accommodation of distributed generation (DG) units in the distribution power network (DPN) reduces the power losses (PL), improves the voltage profile (VP), and enhances the stability. The size and site for distribution generations have to be optimized to avail favorable results. Otherwise, the DPN may experience greater power losses, higher voltage deviation, and voltage instability issues. This article implements an optimization technique using a hunter-prey optimizer (HPO) algorithm to optimize single and multiple (two) DG units in the radial DPN to minimize total real power losses (RPL) and total voltage deviation (TVD). The effectiveness of the HPO algorithm is assessed on the IEEE benchmark 69-bus radial DPN and a real-world Cairo-59 bus RDS. The simulation outcome after the optimized inclusion of DGs shown significant RPL reduction and considerable voltage enhancement. Furthermore, the optimized results of HPO algorithm were compared to the different algorithms and the comparison proved that the HPO can provide a more promising and authentic outcome than other algorithms.

International Journal of Applied Power Engineering (IJAPE)Vol. 14(1)
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), Horizon College and Seminary (CA), Arni University (IN), Vellore Institute of Technology University (IN)
Openalex Percentile: Top 74%
Optimization and Search Problems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.