Emulation Structures and Control of Wind-Tidal Turbine Hybrid Systems for Saudi Arabia Off-shore Development DOI Creative Commons
Abdulaziz Alanazi, Ezzeddine Touti,

Cristian Nichita

et al.

Engineering Technology & Applied Science Research, Journal Year: 2024, Volume and Issue: 14(4), P. 15251 - 15256

Published: Aug. 2, 2024

This paper presents the principles of developing an electromechanical emulator based on original hybridization concept a wind and tidal power system. Wind horizontal axis turbines showcase functional similarities coupling possibility. Tidal concepts are very close to those power. turbine technology should thus reach maturity more quickly because it is possible for rely certain number reliable proven techniques developed The proposed hybrid – system electromechanically coupled rotation single common electric generator. An experimental simulation wind-tidal was carried out, using architecture results both numerical simulations out in MATLAB/Simulink environment tests obtained employing real-time emulators.

Language: Английский

Enhancing connectivity and coverage in wireless sensor networks: a hybrid comprehensive learning-Fick’s algorithm with particle swarm optimization for router node placement DOI Creative Commons

Dina A. Amer,

Sarah A. Soliman,

Asmaa Hassan

et al.

Neural Computing and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 14, 2024

Language: Английский

Citations

4
Enhancing stochastic planning in autonomous hybrid energy systems through an advanced arithmetic optimization algorithm and K-means data clustering DOI
Mohana Alanazi, Almoataz Y. Abdelaziz, Junhee Hong

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 4375 - 4387

Published: April 11, 2025

Language: Английский

Citations

0
Correction: Alanazi et al. An Improved Fick’s Law Algorithm Based on Dynamic Lens-Imaging Learning Strategy for Planning a Hybrid Wind/Battery Energy System in Distribution Network. Mathematics 2023, 11, 1270 DOI Creative Commons
Mohana Alanazi, Abdulaziz Alanazi, Ahmad Almadhor

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(7), P. 1206 - 1206

Published: April 7, 2025

In the published publication [...]

Language: Английский

Citations

0
Photovoltaic/Hydrokinetic/Hydrogen Energy System Sizing Considering Uncertainty: A Stochastic Approach Using Two-Point Estimate Method and Improved Gradient-Based Optimizer DOI Open Access
Mustafa Kamal,

Renzon Daniel Cosme Pecho,

Hassan Falah Fakhruldeen

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(21), P. 15622 - 15622

Published: Nov. 4, 2023

In this paper, stochastic sizing of a stand-alone Photovoltaic/Hydrokinetic/Hydrogen storage energy system is performed with aim minimizing the cost project life span (COPL) and satisfying reliability index as probability load shortage (POLS). The implemented using novel framework considering two-point estimate method (2m+1 PEM) improved gradient-based optimizer (IGBO). 2m+1 PEM used to evaluate impact uncertainties resource generation demand on problem. utilizes approximate account for these uncertainties. order avoid premature convergence, (GBO), meta-heuristic algorithm influenced by Newtonian concepts, enhanced dynamic lens-imaging learning approach. size devices, which determined utilizing IGBO COPL minimization optimally POLS, one optimization variables. results three hPV/HKT/FC, hPV/FC, hHKT/FC configurations are presented in two situations deterministic without taking uncertainty into consideration. findings showed that hPV/HKT/FC configuration better than other techniques like conventional GBO, particle swarm (PSO), artificial electric field (AEFA) achieve lowest POLS (higher reliability) various cases. Additionally, increased 7.63%, 7.57%, 7.65%, respectively, while fell 5.01%, 4.48%, 4.59%, contrasted sizing, according based PEM. As result, indicate model, quantity output insufficient meet under unknown circumstances. Applying volatility both supply can, therefore, be an economically sound way demand.

Language: Английский

Citations

6
Neural Network Algorithm with Reinforcement Learning for Microgrid Techno-Economic Optimization DOI Creative Commons
Hassan M. Hussein Farh

Mathematics, Journal Year: 2024, Volume and Issue: 12(2), P. 280 - 280

Published: Jan. 15, 2024

Hybrid energy systems (HESs) are gaining prominence as a practical solution for powering remote and rural areas, overcoming limitations of conventional generation methods, offering blend technical economic benefits. This study focuses on optimizing the sizes an autonomous microgrid/HES in Kingdom Saudi Arabia, incorporating solar photovoltaic energy, wind turbine generators, batteries, diesel generator. The innovative reinforcement learning neural network algorithm (RLNNA) is applied to minimize annualized system cost (ASC) enhance reliability, utilizing hourly speed, irradiance, load behavior data throughout year. validates RLNNA against five other metaheuristic/soft-computing approaches, demonstrating RLNNA’s superior performance achieving lowest ASC at USD 1,219,744. outperforms SDO PSO, which yield 1,222,098.2, MRFO, resulting 1,222,098.4, while maintaining loss power supply probability (LPSP) 0%. exhibits faster convergence global than algorithms, including SDO, show ability converge optimal solution. concludes by emphasizing effectiveness HES sizing, contributing valuable insights off-grid regions.

Language: Английский

Citations

2
Deep graphene based reconfigurable circularly polarized star-shaped microstrip antenna design at terahertz frequencies for biomedical application DOI

S. M. Asha Banu,

M. Ramkumar,

K. Meena Alias Jeyanthi

et al.

Optical and Quantum Electronics, Journal Year: 2023, Volume and Issue: 56(3)

Published: Dec. 30, 2023

Language: Английский

Citations

3
A bi-objective optimization framework for configuration of battery energy storage system considering energy loss and economy DOI Creative Commons
Suliang Ma,

Zeqing Meng,

Yiwen Wu

et al.

Energy Exploration & Exploitation, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

To address a bi-objective optimization configuration problem of battery energy storage system (BESS) in distributed (DES) considering loss and economy, perturbation observation approach (P&O) is proposed this article. First, DES, the model BESS established. Then, novel way designed that transforming into single objective with variable conditions. And P&O process method presented. Finally, simulation case, compared or improves 5.71-fold 2.94-fold each direction, respectively effectively balances contradiction between them. In addition, efficiency electricity cost increasing, rated capacity changes by approximately 10%. location key factor affecting scheme DES.

Language: Английский

Citations

0
Underwater image enhancement based on optimally weighted histogram framework and improved Fick’s law algorithm DOI Creative Commons
Yawen Liu,

Ziteng Qiao,

Zhiwei Ye

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 5, 2024

The quality of underwater images is often affected by light scattering and attenuation, resulting in a loss contrast brightness. To address this issue, paper proposes an image enhancement method: improved Fick's law algorithm-based optimally weighted histogram framework (IFLAHF). method incorporates the bi-histogram equalization-based three plateau limits (BHE3PL) technique to enhance details while maintaining However, its dependence on fixed parameters adaptability. overcome limitation, introduces algorithm (FLA) then improves it optimize parameters. FLA incorporating Tent chaotic mapping reverse learning increase population diversity, Levy flight introduced later stages exploitation. Additionally, color correction applied correct deviations images, leading more natural appearance. verify performance method, compared with different methods. As demonstrated simulations, proposed outperforms existing algorithms multiple metrics.

Language: Английский

Citations

0
Emulation Structures and Control of Wind-Tidal Turbine Hybrid Systems for Saudi Arabia Off-shore Development DOI Creative Commons
Abdulaziz Alanazi, Ezzeddine Touti,

Cristian Nichita

et al.

Engineering Technology & Applied Science Research, Journal Year: 2024, Volume and Issue: 14(4), P. 15251 - 15256

Published: Aug. 2, 2024

This paper presents the principles of developing an electromechanical emulator based on original hybridization concept a wind and tidal power system. Wind horizontal axis turbines showcase functional similarities coupling possibility. Tidal concepts are very close to those power. turbine technology should thus reach maturity more quickly because it is possible for rely certain number reliable proven techniques developed The proposed hybrid – system electromechanically coupled rotation single common electric generator. An experimental simulation wind-tidal was carried out, using architecture results both numerical simulations out in MATLAB/Simulink environment tests obtained employing real-time emulators.

Language: Английский

Citations

0