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


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Authors

  • Fettah Khaled Science and Technology / LNTDL Laboratory, 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.660

Keywords:

Uncertainties, Wind Turbine(WT), Zebra Optimization Algorithm, Distribution System

Abstract

This paper presents the Zebra Optimization Algorithm (ZOA), a novel bio-inspired metaheuristic algorithm for optimizing the allocation of distributed generation (DG) units based on wind turbine (WT) technology in distribution networks (DN). The algorithm is based on the foraging and defense strategies of zebras in the wild. ZOA seeks to reduce total energy losses and improve the distribution network's daily voltage profile. The proposed method was applied to a typical IEEE 33-node distribution network, and the simulation results were compared to those obtained by other recently developed optimization algorithms. The comparison report affirmed the efficiency of the Zebra Optimization Algorithm method, demonstrating its ability to outperform existing optimization algorithms. 

Author Biographies

Fettah Khaled, Science and Technology / LNTDL Laboratory, University of Hamma lakhder

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 Wind -based DG Units in Uncertain Distribution Network. All Sciences Abstracts, 1(1), 15. https://doi.org/10.59287/as-abstracts.660