Emulation Structures and Control of Wind-Tidal Turbine Hybrid Systems for Saudi Arabia Off-shore Development

Authors

  • Abdulaziz Alanazi Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73222, Saudi Arabia
  • Ezzeddine Touti Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 73222, Saudi Arabia
  • Cristian Nichita Groupe de Recherche en Electrotechnique et Automatique du Havre (GREAH), University Le Havre Normandie, 75 rue Bellot 76058 Le Havre Cedex, France
  • Ashglaf Mohamed Groupe de Recherche en Electrotechnique et Automatique du Havre (GREAH), University Le Havre Normandie, 75 rue Bellot 76058 Le Havre Cedex, France
Volume: 14 | Issue: 4 | Pages: 15251-15256 | August 2024 | https://doi.org/10.48084/etasr.7800

Abstract

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

Keywords:

wind power, hybrid system, emulator, real time, tidal turbine

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How to Cite

[1]
Alanazi, A., Touti, E., Nichita, C. and Mohamed, A. 2024. Emulation Structures and Control of Wind-Tidal Turbine Hybrid Systems for Saudi Arabia Off-shore Development. Engineering, Technology & Applied Science Research. 14, 4 (Aug. 2024), 15251–15256. DOI:https://doi.org/10.48084/etasr.7800.

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