Authors : Anjali sasikumar; Dr. E.A Jasmin

Volume/Issue : Volume 8 - 2023, Issue 6 - June

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/4hau745w

DOI : https://doi.org/10.5281/zenodo.8149653

Abstract : A fuzzy based Maximum Power Point Tracking (MPPT) system for a residential AC microgrid with a photovoltaic (PV) array, energy monitoring system, and battery storage. The PV array is utilized for battery charging, supplying power to the loads, and feeding excess energy to the grid. In scenarios where the grid supply is insufficient, the battery serves as an additional power source. The proposed fuzzy-based MPPT algorithm optimizes the PV array’s power output by dynamically adjusting the operating point based on environmental conditions. The energy monitoring system monitors the state of charge (SOC) of the battery, PV power generation, and grid power consumption over a 24- hour period. The combination of the fuzzy-based MPPT and energy monitoring system enhances the efficiency and reliability of the residential AC microgrid, enabling optimal utilization of PV energy and effective management of power resources.

Keywords : Fuzzy Logic Control, Maximum Power Point Tracking (MPPT), Photovoltaic (PV) System, Energy Monitoring System(EMS), Microgrid, Power Generation, Battery State of Charge (SOC), Load Scheduling.