An Ant-Lion Optimization Based Approach to Solve Phase Balancing Problem in Distribution Networks

Loading...
Publication Logo

Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Open Access Color

Green Open Access

No

OpenAIRE Downloads

OpenAIRE Views

Publicly Funded

No
Impulse
Average
Influence
Average
Popularity
Average

Research Projects

Journal Issue

Abstract

Phase unbalance is a significant issue for power distribution networks. It can lead to increased energy losses and voltage instability, undermining the electrical grid's reliability and efficiency. We propose an approach to minimize voltage unbalance through reactive power management from PV installations and the optimization of charging/discharging of energy storage devices utilizing a control algorithm based on Ant-Lion Optimizer. We tested the approach on the IEEE 123-Bus Test System, incorporating PV generations by daily simulations. From the results, the combined operation of reactive power support from PVs and Storage Units with the help of the ALO algorithm offers a promising solution to the phase unbalance problem.

Description

Keywords

Fields of Science

Citation

WoS Q

N/A

Scopus Q

N/A
OpenCitations Logo
OpenCitations Citation Count
N/A

Source

59th International Universities Power Engineering Conference -- SEP 02-06, 2024 -- Cardiff, ENGLAND

Volume

Issue

Start Page

1

End Page

6
PlumX Metrics
Citations

Scopus : 0

Captures

Mendeley Readers : 2

Page Views

4

checked on Feb 18, 2026

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
0.0

Sustainable Development Goals