A Review of Enhancing Sine Cosine Algorithm: Common Approaches for Improved Metaheuristic Algorithms DOI
Qusay Shihab Hamad, Sami Abdulla Mohsen Saleh, Shahrel Azmin Suandi

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

Language: Английский

Optimized energy management in Grid-Connected microgrids leveraging K-means clustering algorithm and Artificial Neural network models DOI Creative Commons
Peter Anuoluwapo Gbadega, Yanxia Sun,

Olufunke Abolaji Balogun

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 336, P. 119868 - 119868

Published: May 5, 2025

Language: Английский

Citations

0
Revolutionizing PV grid integration: Metaheuristic optimization of fractional PI controllers in T-type neutral point piloted inverters for enhanced performance DOI
Hala Lalaymia, Abdelhak Djellad, Badri Rekik

et al.

Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 120, P. 109694 - 109694

Published: Sept. 14, 2024

Language: Английский

Citations

2
A High-Performance Fractional Order Controller Based on Chaotic Manta-Ray Foraging and Artificial Ecosystem-Based Optimization Algorithms Applied to Dual Active Bridge Converter DOI Creative Commons
Felipe Ruiz, Eduardo Pichardo, Mokhtar Aly

et al.

Fractal and Fractional, Journal Year: 2024, Volume and Issue: 8(6), P. 332 - 332

Published: May 31, 2024

Over the last decade, dual active bridge (DAB) converters have become critical components in high-frequency power conversion systems. Recently, intensive efforts been directed at optimizing DAB converter design and control. In particular, several strategies proposed to improve performance of control For example, fractional-order (FO) methods proven potential applications since they offer improved controllability, flexibility, robustness. However, FO controller process is for industrializing their use. Conventional use frequency domain-based schemes, which result complex impractical designs. addition, nonlinear equations need be solved determine optimum parameters. Currently, metaheuristic algorithms are used controllers due effectiveness improving system ability simultaneously tune possible Moreover, do not require precise detailed knowledge controlled model. this paper, a hybrid algorithm based on chaotic artificial ecosystem-based optimization (AEO) manta-ray foraging (MRFO) with aim combining best features each. Unlike conventional MRFO method, newly AEO-CMRFO enables maps weighting factors. AEO CMRFO hybridization better convergence avoidance local optima. Therefore, superior was achieved compared traditional other studied algorithms. An exhaustive study provided, method verify its advantages superiority.

Language: Английский

Citations

1
A study on the challenges and possible solutions in developing a robust infrastructure for charging electric vehicles DOI Creative Commons

Zairan Wei,

Weiwei Liu

Published: Oct. 8, 2024

With the rapid proliferation of electric vehicles in China, issue charging these has become increasingly prominent. There is a clear shortage public facilities, leading to long waiting times and difficulty locating available stations. Additionally, privately through power lines from high-rise buildings neighborhood poses serious safety risks life property. This paper delves into primary challenges facing China's vehicle industry, possible solutions, as well optimization measures for construction costs, locations, capacities stations number piles within each station.

Language: Английский

Citations

0
Improved binary quantum-based Elk Herd optimizer for optimal location and sizing of hybrid system in micro grid with electric vehicle charging station DOI

G. Muralikrishnan,

K. Preetha,

S. Selvakumaran

et al.

Journal of Renewable and Sustainable Energy, Journal Year: 2024, Volume and Issue: 16(6)

Published: Nov. 1, 2024

In recent times, there has been increasing interest in renewable power generation and electric vehicles within the domain of smart grids. The integration with hybrid systems presents several critical challenges, including increased loss, quality issues, voltage deviations. To tackle these researchers have proposed various techniques. Effective management energy is essential for maximizing benefits integrating a system microgrid at an vehicle charging station. This research specifically aims to optimize location sizing such microgrid. Additionally, improved binary quantum-based Elk Herd optimizer approach proposed. addresses optimally managing sources load uncertainty. also considers stochastic nature operational restrictions, encompassing diverse control modes. technique performance implemented MATLAB platform compared against existing approaches. analysis demonstrates effectiveness achieving optimal contributes minimizing electricity costs, average waiting time. Furthermore, reduces computing time, net present cost, emissions are 12.5 s, 1.1×106 dollar, 2.21×108 g year−1, respectively.

Language: Английский

Citations

0
A Review of Enhancing Sine Cosine Algorithm: Common Approaches for Improved Metaheuristic Algorithms DOI
Qusay Shihab Hamad, Sami Abdulla Mohsen Saleh, Shahrel Azmin Suandi

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 24, 2024

Language: Английский

Citations

0