Optimized Grid-Connected Hybrid Renewable Energy Power Generation: A Comprehensive Analysis of Photovoltaic, Wind, and Fuel Cell Systems

Authors

  • Mohamed A. J. Al-Ani CEM Laboratory, National Engineering School of Sfax, University of Sfax, Tunisia
  • Mohamed Ali Zdiri CEM Laboratory, National Engineering School of Sfax, University of Sfax, Tunisia
  • Fatma Ben Salem Prince Sattam Bin Abdulaziz University, College of Engineering, Department of Electrical Engineering, Alkharj, 11942, Saudi Arabia
  • Nabil Derbel CEM Laboratory, National Engineering School of Sfax, University of Sfax, Tunisia
Volume: 14 | Issue: 3 | Pages: 13929-13936 | June 2024 | https://doi.org/10.48084/etasr.6936

Abstract

This paper provides a comprehensive analysis of a grid-connected hybrid microgrid system that seamlessly integrates renewable energy sources, encompassing wind generators, solar arrays, and Fuel Cells (FCs). Emphasis is placed on the pivotal role of power electronic converters in optimizing control and energy management strategies for these diverse sources. The wind and solar subsystems employ Perturb and Observe (P&O) controllers to achieve Maximum Power Point Tracking (MPPT). Additionally, the study delves into the analysis and control design of the grid-connected hybrid system inverter, employing a Proportional-Integral (PI) control technique in the synchronous d-q frame to maximize the output voltage response and active power. In managing renewable grid energy based on artificial neural networks (ANNs), the main goal is to address grid availability concerns by prioritizing renewable sources. The hybrid system acts as a backup during grid unavailability and simultaneously produces hydrogen via electrolysis. The excess energy is seamlessly supplied to the grid upon filling the hydrogen tank. The proposed solution shows great promise for use in renewable energy management systems that combine hybrid technologies.

Keywords:

hybrid microgrid system, wind generators, solar arrays, grid, energy management, ANN

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How to Cite

[1]
M. A. J. Al-Ani, M. A. Zdiri, F. Ben Salem, and N. Derbel, “Optimized Grid-Connected Hybrid Renewable Energy Power Generation: A Comprehensive Analysis of Photovoltaic, Wind, and Fuel Cell Systems”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 3, pp. 13929–13936, Jun. 2024.

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