Optimal designing of a hybrid renewable energy system connected to an unreliable grid based on enhanced African vulture optimizer

Wang, Yajun; Wang, Jidong; Yang, Libo; Ma, Bin; Sun, Guanghui; Youssefi, Naser

doi:10.1016/j.isatra.2022.01.025

Cited by 11 publications

(6 citation statements)

References 44 publications

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“…Burada 𝑟𝑎𝑛𝑑 𝑝1 arama fazında stratejilerden herhangi birini seçmek için 0 ile AVOA, 2021 yılında önerilen yeni bir algoritma olmasına rağmen literatürde parametre tanımlama [14][15][16], sistem yapılandırma [17] ve tasarımı [18] problemlerinin çözümünde kullanılmıştır. Bagal ve ark.…”

Section: B 3 üçüNcü Faz: Aramaunclassified

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Güncel Metasezgisel Algoritmalarının Performansları Üzerine Karşılaştırılmalı Bir Çalışma

ARSLAN

2023

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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Günümüzde, metasezgiseller optimizasyon problemlerinin çözümünde çok önemli bir rol oynamaktadır. Bu çalışmada sürü zekasından ve doğadaki canlıların yiyecek arama davranışlarından esinlenerek geliştirilen üç yeni metasezgisel (Afrika Akbabaları Optimizasyon Algoritması (African Vulture Optimization Algorithm, AVOA), Geliştirilmiş Gri Kurt Optimizasyon Algoritması (Improved Gray Wolf Optimization Algorithm, I-GWO) ve Deniz Avcıları Algoritması (Marine Predators Algorithm, MPA)), kıyaslamalarda en çok kullanılan metasezgisellerden biri olan Parçacık Sürü Optimizasyon Algoritması (Particle Swarm Optimization, PSO) ile kıyaslanmıştır. Deneysel çalışmalara göre, AVOA ve MPA’nın diğer algoritmalara göre daha başarılı sonuçlara sahip olduğu görülmektedir. Sonuçların istatiksel anlamlılığı, Friedman ve Wilcoxon işaretli sıralar testleri ile değerlendirilerek bu iki algoritmanın üstünlüğü kanıtlanmıştır.

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Section: B 3 üçüNcü Faz: Aramaunclassified

“…Wang ve ark. Hibrit Yenilenebilir Enerji Sistemlerinde (Hybrid Renewable Energy System, HRES) maliyeti minimize edecek sistem elementlerini önerdikleri geliştirilmiş AVOA ile tasarlamayı amaçladılar [18]. Çalışmada algoritmanın etkinliği birçok çalışmayla kıyaslanarak ifade edilmiştir.…”

Section: B 3 üçüNcü Faz: Aramaunclassified

Güncel Metasezgisel Algoritmalarının Performansları Üzerine Karşılaştırılmalı Bir Çalışma

ARSLAN

2023

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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“…The traditional African vultures optimization algorithm (AVOA) has been widely used in literature to find solutions to different optimization challenges. In [28], a modified version of the AVOA was proposed to find the optimal design of a hybrid renewable energy system with an unreliable grid. In [29], the authors improved the AVOA to be used in the optimal configuration of a combined cooling, heating, and power system.…”

Section: Introductionmentioning

confidence: 99%

Solving wind‐integrated unit commitment problem by a modified African vultures optimization algorithm

Abuelrub,

Awwad,

Al‐Masri

2023

IET Generation Trans & Dist

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Unit commitment (UC) stands out as a significant challenge in electrical power systems. With the rapid growth in power demand and the pressing issues of fossil fuel scarcity and global warming, it has become crucial to enhance the utilization of renewable energy sources. This study focuses on addressing the UC problem by incorporating a wind farm and proposes a modified version of the metaheuristic African vultures optimization algorithm (AVOA) in binary form, utilizing the sigmoid transfer function. The modified AVOA employs multiple phase‐shift tactics to overcome premature local optima. By determining the on/off status of generating units, the modified AVOA improves the algorithm's effectiveness. Additionally, the paper develops an auto‐regressive moving average model (ARMA) to forecast wind speeds, with the AVOA assisting in selecting the optimal orders (q and p) of the ARMA model. This is done using historical wind speed data to capture uncertainty in the wind speed. The wind power is then calculated using various models and integrated into the UC problem. The effectiveness of the modified AVOA is examined on the IEEE 30‐bus system. The binary AVOA (BAVOA) outperforms several algorithms presented in the case study, demonstrating its superiority. Furthermore, the results indicate that BAVOA delivers superior outcomes within the discrete search space when compared to the continuous search space.

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“…One of the recently developed metaheuristic algorithms is the AVOA. This algorithm has been applied to solve various engineering problems such as optimization of parameter identification for solid-oxide fuel cells [45] and proton exchange membrane (PEM) fuel-cell stacks [46], and the optimal design of a hybrid RES [47]. It has more inclusive exploration and exploitation mechanisms.…”

Section: Introductionmentioning

confidence: 99%

African Vulture Optimization Algorithm-Based PI Controllers for Performance Enhancement of Hybrid Renewable-Energy Systems

et al. 2022

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An effective maximum power point tracking (MPPT) technique plays a crucial role in improving the efficiency and performance of grid-connected renewable energy sources (RESs). This paper uses the African Vulture Optimization Algorithm (AVOA), a metaheuristic technique inspired by nature, to tune the proportional–integral (PI)-based MPPT controllers for hybrid RESs of solar photovoltaic (PV) and wind systems, as well as the PI controllers in a storage system that are used to smooth the output fluctuations of those RESs in a hybrid system. The performance of the AVOA is compared with that of the widely used the particle swarm optimization (PSO) technique, which is commonly acknowledged as the foundation of swarm intelligence. As a result, this technique is introduced in this study to draw a comparison. It is observed that the proposed algorithm outperformed the PSO algorithm in terms of the tracking speed, robustness, and best convergence to the minimum value. A MATLAB/Simulink model was built, and optimization and simulation for the proposed system were carried out to verify the introduced algorithms. In conclusion, the optimization and simulation results showed that the AVOA is a promising method for solving a variety of engineering problems.

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Optimal designing of a hybrid renewable energy system connected to an unreliable grid based on enhanced African vulture optimizer

Cited by 11 publications

References 44 publications

Güncel Metasezgisel Algoritmalarının Performansları Üzerine Karşılaştırılmalı Bir Çalışma

Güncel Metasezgisel Algoritmalarının Performansları Üzerine Karşılaştırılmalı Bir Çalışma

Solving wind‐integrated unit commitment problem by a modified African vultures optimization algorithm

African Vulture Optimization Algorithm-Based PI Controllers for Performance Enhancement of Hybrid Renewable-Energy Systems

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