This paper is published in Volume-7, Issue-4, 2021
Area
Electronics And Communication
Author
Ram Kumar, Harkamal Deep Singh
Org/Univ
GGS College of Modern Technology, Mohali, Punjab, India
Keywords
MPPT, PI controller, Renewable Energy Sources, Energy Consumption
Citations
IEEE
Ram Kumar, Harkamal Deep Singh. PV-Based MPPT for standalone DC Micro Grids using Fuzzy Logic, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ram Kumar, Harkamal Deep Singh (2021). PV-Based MPPT for standalone DC Micro Grids using Fuzzy Logic. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Ram Kumar, Harkamal Deep Singh. "PV-Based MPPT for standalone DC Micro Grids using Fuzzy Logic." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Ram Kumar, Harkamal Deep Singh. PV-Based MPPT for standalone DC Micro Grids using Fuzzy Logic, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Ram Kumar, Harkamal Deep Singh (2021). PV-Based MPPT for standalone DC Micro Grids using Fuzzy Logic. International Journal of Advance Research, Ideas and Innovations in Technology, 7(4) www.IJARIIT.com.
MLA
Ram Kumar, Harkamal Deep Singh. "PV-Based MPPT for standalone DC Micro Grids using Fuzzy Logic." International Journal of Advance Research, Ideas and Innovations in Technology 7.4 (2021). www.IJARIIT.com.
Abstract
Due to the large variations in production and demand, stand-alone green energy management systems are becoming more important for power sharing and voltage regulation tasks. Traditionally used power management methods use maximum energy factor monitoring (MPPT) algorithms and depend on batteries in the event of a power surge or shortage. However, in order to maintain a constant current-constant voltage (IU) charging regime and extend the life of batteries, energy management methods must be more adaptable with regard to power curtailment. The article offers a technique for battery management of a hybrid solar photovoltaic and wind energy device for stand-alone applications. Due to the non-linear nature of battery charging, which is time-varying with a large time delay, it is challenging to obtain the optimum energy management performance using conventional control methods. The article analyses a fuzzy manipulates method for battery charging and discharging in a renewable energy production system. To extend the battery's life, fuzzy control maintains the appropriate level of charge (SOC). A fuzzy logic-based controller is suggested for use in manipulating the battery state of charge of the intended hybrid system, and its performance is validated in contrast to a conventional PI controller.