Optimal Planning of Photovoltaic-based DG Units in Uncertain Distribution Network


Abstract views: 151 / PDF downloads: 106

Authors

  • Fettah Khaled University of Hamma lakhder
  • Guia talal University of Hamma lakhder
  • Salhi Ahmed University of Mohamed Khaider
  • Abdelaziz Salah Saidi University of Abha

DOI:

https://doi.org/10.59287/as-abstracts.653

Keywords:

Uncertainties, (PV) Photovoltaic, Zebra Optimization Algorithm, Distribution System

Abstract

This paper introduces a novel bio-inspired metaheuristic algorithm called the Zebra Optimization Algorithm (ZOA) for optimizing the allocation of distributed generation (DG) units based on photovoltaic (PV) technology in distribution networks (DN). The algorithm is inspired by the foraging behavior and defense strategies of zebras in nature. ZOA aims to minimize total energy losses and improve the daily voltage profile in the distribution network. The proposed approach was applied to the typical IEEE 33 node distribution network, and the simulation results were compared with those obtained by other optimization algorithms developed in recent literature. The effectiveness of the Zebra Optimization Algorithm method was confirmed by the comparison report, demonstrating its ability to outperform existing optimization algorithms. 

Author Biographies

Fettah Khaled , University of Hamma lakhder

Science and Technology / LNTDL Laboratory, el oued,Algeria

Guia talal, University of Hamma lakhder

Science and Technology / LNTDL Laboratory, el oued,Algeria

Salhi Ahmed , University of Mohamed Khaider

Science and Technology / LGEP Laboratory, Biskra,Algeria

Abdelaziz Salah Saidi, University of Abha

Science and Technology / / Laboratory of Saudi arabia, Saudi Arabia

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Published

2023-05-10

How to Cite

Khaled , F., talal, G., Ahmed , S., & Saidi, A. S. (2023). Optimal Planning of Photovoltaic-based DG Units in Uncertain Distribution Network. All Sciences Abstracts, 1(1), 11. https://doi.org/10.59287/as-abstracts.653