Optimizing capacitor bank placement in distribution networks using a multi-objective particle swarm optimization approach for energy efficiency and cost reduction

Optimizing capacitor bank placement in distribution networks using a multi-objective particle swarm optimization approach for energy efficiency and cost reduction

Abstract This paper proposes an improved dynamic parameters MOPSO method for analyzing the optimal size and placement of two capacitor banks for standard IEEE 33-bus and IEEE 69-bus distribution feeders. The novelty of this work lies in the application of the MOPSO algorithm to optimize capacitor ba...

Full description

Saved in:
Bibliographic Details
Main Authors: Mehrdad Ahmadi Kamarposhti, Raymond Ghandour, Mahmoud Abdel-Aty, Mohamed Hafez, Mohanad Alfiras, Shawkat Alkhazaleh, Ilhami Colak, Ahmed Solyman
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Energy loss
Distribution network
Capacitor banks
MOPSO
NSGA-II
MOGWO
Online Access:https://doi.org/10.1038/s41598-025-96341-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-96341-8

Similar Items