Maximum Power Point Tracking for Stand-Alone Solar Photovoltaic System Connected to Battery Energy Storage Using Intelligent Control

Samah M. Saleem, Helmy M. El Zoghby^* and Soliman M. Sharaf

Abstract

This paper introduced   modeling and simulation results of an isolated solar photovoltaic system with lead-acid battery. The system is operated at maximum power point tracking (MPPT) using MATLAB/Simulink environment. The proposed controllers used in this paper are proportional – integral (PI) controller, fuzzy logic controller (FLC) and Adaptive Neuro Fuzzy Inference System (ANFIS) controllers. The proposed controllers are used for controlling dc-dc converter. All simulation results are recorded and compared with each other using the conventional and intelligent controllers.

Keywords:

Adaptive Neuro Fuzzy Inference System (ANFIS); Maximum Power Point Tracking (MPPT); PV System; Battery; PI controller; Fuzzy Logic Control (FLC)

Cite This Article

Saleem, S. M., EI, H. M., Sharaf, S. M. (2021). Maximum Power Point Tracking for Stand-Alone Solar Photovoltaic System Connected to Battery Energy Storage Using Intelligent Control. International Journal of Scientific Advances (IJSCIA), Volume 2| Issue 5: Sep-Oct 2021, Pages 733-743 , URL: https://www.ijscia.com/wp-content/uploads/2021/09/Volume2-Issue5-Sep-Oct-No.159-733-743.pdf

Volume 2 | Issue 5: Sep-Oct 2021