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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Solar Energy
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1485470

Adaptive Sliding Mode Control based on Maximum power point Tracking for Boost Converter of Photovoltaic System under Reference Voltage Optimizer

Provisionally accepted
Borhen Torchani Borhen Torchani 1Ahmad Taher Azar Ahmad Taher Azar 2,3,4*Anis Sellami Anis Sellami 1Saim Ahmed Saim Ahmed 2,3Ibrahim A. Hameed Ibrahim A. Hameed 5*Ibraheem Kasim Ibraheem Ibraheem Kasim Ibraheem 6Moamin I. Al-Obaidi Moamin I. Al-Obaidi 7
  • 1 Tunis University, Tunis, Tunis, Tunisia
  • 2 College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia
  • 3 Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia
  • 4 Faculty of Computer and Artificial Intelligence, Benha University, Benha, Egypt
  • 5 Faculty of Science and Technology, Norwegian University of Life Sciences, Oslo, Oslo, Norway
  • 6 University of Baghdad, Baghdad, Baghdad, Iraq
  • 7 Uruk University, Baghda, Iraq

The final, formatted version of the article will be published soon.

    This article presents an innovative APISMC method applied to PVS, integrating the MPPT technique for a boost converter. The primary objective of this approach is to maximize the converter's output power while ensuring optimal operation in the face of varying environmental conditions such as solar irradiance and temperature, while dynamically adapting to variations in system parameters, as demonstrated by the obtained results. To achieve this, a RVO is employed to generate reference voltage and power. A PI controller calculates the reference current based on this power. The APISMC control modeling utilizes all its reference variables to synthesize the sliding surface and duty cycle for optimal boost converter control. Simulations conducted demonstrate superior performance in terms of stability, speed, and control of the converter compared to traditional MPPT algorithms. The main contributions of this article include an improvement in system robustness against irradiance variations, thanks to the integration of an adaptive algorithm and a PI controller within the SMC. Moreover, the proposed theoretical and practical framework enables rapid MPPT attainment by adjusting the duty cycle in real-time, optimizing maximum power extraction and ensuring stable regulation even under non-ideal conditions.

    Keywords: photovoltaic system, Boost converter, Reference Voltage Optimizer, Maximum power point tracking, Adaptive sliding mode control

    Received: 23 Aug 2024; Accepted: 04 Oct 2024.

    Copyright: © 2024 Torchani, Azar, Sellami, Ahmed, Hameed, Kasim Ibraheem and Al-Obaidi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Ahmad Taher Azar, College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia
    Ibrahim A. Hameed, Faculty of Science and Technology, Norwegian University of Life Sciences, Oslo, NO - 1432 Ås, Oslo, Norway

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.