Optimized Hybrid Osprey with PSO Control for Improved VSC-HVDC-Wind Power Integration DOI Creative Commons
Abdulaziz Alkuhayli, Hany M. Hasanien

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103191 - 103191

Опубликована: Окт. 1, 2024

Язык: Английский

Enhancing Wind Power Plant Integration Using a T-NPC Converter with DR-HVDC Transmission Systems DOI Open Access
Ilyass El Myasse, Abdelmounime El Magri, Aziz Watil

и другие.

IFAC-PapersOnLine, Год журнала: 2024, Номер 58(13), С. 472 - 477

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

3

Maximizing wind power efficiency with hybrid excitation synchronous generators and energy storage systems through advanced control strategies DOI
Walid Mohammed Kacemi, Elhadj Bounadja,

Abdelkadir Belhadj Djilali

и другие.

Journal of Energy Storage, Год журнала: 2024, Номер 109, С. 115219 - 115219

Опубликована: Дек. 31, 2024

Язык: Английский

Процитировано

3

Design of a Solar‐Wind Hybrid Renewable Energy System for Power Quality Enhancement: A Case Study of 2.5 MW Real Time Domestic Grid DOI Creative Commons

F. Max Savio,

S. Vinson Joshua,

K. Usha

и другие.

Engineering Reports, Год журнала: 2025, Номер 7(1)

Опубликована: Янв. 1, 2025

ABSTRACT The increasing global energy demand driven by climate change, technological advancements, and population growth necessitates the development of sustainable solutions. This research investigates design, modeling, simulation a 2.5 MW solar‐wind hybrid renewable system (SWH‐RES) optimized for domestic grid applications. A survey conducted across 450 households identified total 2.3 MW, with distinct day night usage profiles. In response, consisting 1.5 solar park 1 wind unit was designed to ensure continuous power supply. modeled simulated using MATLAB, its performance evaluated through detailed Total Harmonic Distortion (THD) analysis. addresses critical need high‐quality supply designing, simulating meet surveyed load, while also reducing THD acceptable levels improved quality stability. results demonstrated significant reduction in THD, voltage decreasing from 45.48% 26.20% current 8.32% 2.88% after implementing filtering components. These findings underscore effectiveness proposed SWH‐RES providing stable, addressing growing

Язык: Английский

Процитировано

0

Cutting-edge progress in offshore wind and tidal stream power technology—State-of-the-Art DOI Creative Commons
Ladislas Mutunda Kangaji, Atanda K. Raji, Efe Francis Orumwense

и другие.

AIMS energy, Год журнала: 2025, Номер 13(1), С. 188 - 230

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Topologies and Control Technologies of Wind Energy Conversion System: A Review DOI

Sara Mensou,

Asmae Babaya,

Zineb Mekrini

и другие.

Engergy systems in electrical engineering, Год журнала: 2025, Номер unknown, С. 55 - 69

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Artificial Intelligence Techniques for Energy Conversion Systems: Review DOI

Asmae Babaya,

Sara Mensou,

Zineb Mekrini

и другие.

Engergy systems in electrical engineering, Год журнала: 2025, Номер unknown, С. 1 - 21

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Artificial Intelligence for Energy Optimization in the Green Internet of Vehicles DOI

Anusha Gaddala,

Ram Deshmukh,

A. V. V. Sudhakar

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 253 - 310

Опубликована: Май 28, 2025

The Green Internet of Vehicles (GIoV) integrates smart mobility, sustainable energy, and 5G networks, demanding efficient energy management to support environmental sustainability operational performance. This chapter highlights the transformative role Artificial Intelligence (AI) in optimizing consumption within GIoV ecosystems. It explores AI techniques such as fuzzy logic, artificial neural networks (ANN), deep learning (DL), reinforcement (RL) intelligently manage optimize routing, predict vehicle behaviour, integrate renewable solutions. discusses intelligent systems, dynamic power optimization, AI-enhanced communication protocols, while addressing key challenges like computational limits, data privacy, real-time decision-making constraints. Simulation-based studies, practical applications, future research directions are also presented, offering insights for researchers, engineers, policymakers driving transportation

Язык: Английский

Процитировано

0

Designing control systems and multimode power management of WECS including Energy Storage DOI Open Access
Adil Mansouri, Jamal El–bakkouri, Abdelmounime El Magri

и другие.

IFAC-PapersOnLine, Год журнала: 2024, Номер 58(13), С. 7 - 12

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

2

Evaluating the Dependability Measures of a Hybrid Wind–Wave Power Generation System Under Varied Weather Conditions DOI
Panagiotis M. Psomas, Agapios Ν. Platis, Ioannis Dagkinis

и другие.

Journal of Marine Science and Application, Год журнала: 2024, Номер unknown

Опубликована: Окт. 29, 2024

Язык: Английский

Процитировано

2

Energy management in gyms microgrid: Nonlinear control of stationary bikes and treadmills with parallel rectifiers and AC/DC conversion DOI Creative Commons
Abdelfattah El Azzab, Abdelmounime El Magri, Ilyass El Myasse

и другие.

e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2024, Номер 9, С. 100680 - 100680

Опубликована: Июль 14, 2024

This article presents the complete design of a nonlinear control system for multiple stationary bikes connected to mechanical energy conversion equipped with squirrel cage induction generators (SIGs) linked AC/DC converters. The primary objective this study is investigate feasibility powering treadmills using DC bus via DC/AC novelty our approach lies in integration new strategy achieve objectives within gym microgrid environment, and an management algorithm ensure flow between intermittent generation considered, somewhat random, demand. composed several subsystems: i) inverters acting as power sources; ii) Li-ion battery-based storage interfaced through Buck-Boost converter; iii) electromechanical loads, including treadmills, powered by converters, addition other loads. main are follows: a) each bike extracts from network regulating torque applied athlete, ensuring that follows reference torque; b) treadmill's speed must follow generated based on athlete's condition; c) protection monitoring its current voltage; d) all mentioned achieved while maintaining voltage at value. To these objectives, Lyapunov theory used controllers. A formal analysis conducted assess performance studied system. system's demonstrated MATLAB/Simulink environment. Numerous simulations demonstrate every achieved. Specifically, maintained 500 V maximum deviation 1 V, treadmill followed margin 0.1 m/s.

Язык: Английский

Процитировано

1