Experimental analysis of modified dc-p&o technique with arm controller for a stand-alone 40 w pv system


Singhal A.K. Beniwal N.S. Almutairi K. Dhanraj J.A. Mostafaeipour A. Issakhov A. Chaurasiya P.K. Goudarzi H. Singh V.K.
October-1 2021MDPI

Energies
2021#14Issue 19

The world is moving towards the generation of electricity with renewable energy sources (RES) due to the deterioration of the green environment and trying to replace non-renewable energy resources. The real-time results are achieved with the help of an arm controller, having good controller efficiency with the Waijung toolbox, compatible with MATLAB using STM32ST-link utility. In this paper, the authors are focused on areas such as easy to implement controller efficiency, and real-time solutions for modified direct-control perturbation & observation (DC-P&O) technique based on 32-bit ARM Cortex microcontroller (STM32F407VGT6) with embedded programming using Waijung blocksets, which offers very expected outcomes of the problem to make the stand-alone system efficient with fast-tracking. The observation setup is tested with a 40-watt photovoltaic (PV) panel with resistive load for achieving its stability. The designed algorithm enhances the efficiency of the controller by 84.48% for the real-time parameters of the PV panel at maximum power point (MPP) for a 57% duty ratio.

32-bit arm microcon-troller , MATLAB simulink , Maximum power point technique (MPPT) , Modified (DC-P&O) , PSIM1

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Electrical Engineering Department, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, 226031, India
Electronics Engineering Department, Bundelkhand Institute of Engineering and Technology, Jhansi, Uttar Pradesh, 284128, India
Mechanical Engineering Technology, Applied College, University of Hafr Al Batin, Hafar Al Batin, 39524, Saudi Arabia
Centre for Automation and Robotics (ANRO), Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Padur, Chennai, Tamil Nadu, 603103, India
Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Songkhla, Hat Yai, 90110, Thailand
Industrial Engineering Department, Yazd University, Yazd, 8915818411, Iran
Department of Mathematical and Computer Modelling, Faculty of Mechanics and Mathematics, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
Department of Mathematics and Cybernetics, Kazakh British Technical University, Almaty, 050000, Kazakhstan
Faculty of Mechanical Engineering Department, Sagar Institute of Science and Technology, Gandhi Nagar, Bhopal, Madhya Pradesh, 462036, India
School of Architecture and Planning, University of New Mexico, Albuquerque, 87131, NM, United States
Electrical Engineering Department, SRGI, Jhansi, Uttar Pradesh, 284002, India

Electrical Engineering Department
Electronics Engineering Department
Mechanical Engineering Technology
Centre for Automation and Robotics (ANRO)
Environmental Assessment and Technology for Hazardous Waste Management Research Center
Industrial Engineering Department
Department of Mathematical and Computer Modelling
Department of Mathematics and Cybernetics
Faculty of Mechanical Engineering Department
School of Architecture and Planning
Electrical Engineering Department

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