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

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 instal-lations 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.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/upec61344.2024.10892577
Primary Topic
Power Systems and Technologies
Type
article
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article

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

Oğuzhan Ceylan, Gunnur Yesilyurt
Power Systems and Technologies
article

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

Oğuzhan Ceylan, Gunnur Yesilyurt
article en

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 instal-lations 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.

Kadir Has University (TR), Istanbul Technical University (TR)
Openalex Percentile: Top 74%
Power Systems and Technologies
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