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All Journal Bulletin of Electrical Engineering and Informatics Indonesian Journal of Electrical Engineering and Computer Science
Ouadia, El Maguiri
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Electrical & Electronics Engineering

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Tracking the GMPP of a solar photovoltaic water pumping system with an SMC controller in partial shading conditions Khadija, Sabri; Ouadia, El Maguiri; Abdelmajid, Farchi
Bulletin of Electrical Engineering and Informatics Vol 12, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i6.5504

Abstract

The focus of this paper will be on the development of a photovoltaic (PV) pumping system that employs a DC-DC boost converter as an intermediate power conditioning unit in a centrifugal water pump powered by a brushless DC (BLDC) motor supplied by a solar photovoltaic panel (SPV). This work describes a particle swarm optimization (PSO) maximum power point tracking (MPPT) method compared with the gray wolf optimizer (GWO) method that are closed-loop with a sliding mode controller (SMC) in order to control the operational point of a solar PV in partial shading conditions (PSC), the DC-DC boost converter provides a low starting current for the BLDC motor, and the voltage source inverter (VSI) is used to perform electronic commutation of the BLDC motor. Furthermore, the BLDC motor's speed is regulated by the changeable DC link voltage. The system under consideration, as well as the control approaches employed, were created in the MATLAB/Simulink environment.
Nonlinear backstepping control of a partially shaded photovoltaic storage system Khadija, Sabri; Ouadia, El Maguiri; Abdelmajid, Farchi
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp225-237

Abstract

Many power converter architectures and control approaches, both traditional and unconventional, have been developed, investigated, and adjusted to handle the challenge of tracking the maximum power points of a partially shaded photovoltaic (PV) system, which fluctuates with meteorological conditions (radiation and temperature). A DC-DC converter was used as the power conditioning unit to determine the system’s maximum efficiency. In this research, we focus on developing a nonlinear controller for a DC-DC converter to track the overall maximum power point in a PV storage system under partial shading situations. This study presents a combination of two MPP search algorithms with a backstepping controller. The particle swarm optimization (PSO) and variable step Perturb and Observe (P&O)with global scan (VSP&O/GS) algorithms supply the PV output reference voltage to the backstepping controller in order to recover the maximum power from photovoltaic (PV) systems. The simulation results of the methods compared to the proposed maximum power point (MPPT) algorithm are simulated and examined in the MATLAB/Simulink environment under non-uniform irradiation conditions. To demonstrate the performance and limits of each approach in tracking the maximum power point.
Co-Authors Abdelmajid, Farchi Khadija, Sabri