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4. Allocation of Photovoltaic and Wind Turbine Based DG Units Using the Energy Valley Optimizer (EVO) algorithm.

Author

Fettah, Khaled, Guia, Talal, Salhi, Ahmed, Kacemi, Walid Mohammed, and Saidi, Fayssal

Subjects
OPTIMIZATION algorithms, ENERGY consumption, DISTRIBUTED power generation, ENERGY dissipation, ALGORITHMS, WIND turbines, MAXIMUM power point trackers
Abstract

Copyright of Przegląd Elektrotechniczny is the property of Przeglad Elektrotechniczny and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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6. Optimal Planning of Wind -based DG Units in Uncertain Distribution Network

Author

Fettah Khaled, Guia Talal, Salhi Ahmed, and Abdelaziz Salah Saidi

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.

Published
2023

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

Author

Fettah Khaled, Guia Talal, Salhi Ahmed, and Abdelaziz Salah Saidi

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.

Published
2023

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