Management and Optimization a Stand-alone PV and Battery System Based on Intelligent MPPT

Authors

Moufida Saadi
Department of Electrical Engineering, University of Tebessa, Tebessa
Dib Djalel
Department of Electrical Engineering, University of Tebessa, Tebessa
Meghni bilel
Department of Electrical Engineering, University of Annaba, Annaba

Synopsis

The paper proposes an intelligent MPPT technique based on Artificial Neural Network (ANN) to optimize the output power of a stand-alone PV system, which includes a photovoltaic array, a battery bank, and an electric DC load. The system is equipped with an Energy Management System (EMS) to regulate the power flow between the PV system and the battery bank. The MPPT-ANN controller achieves higher efficiency compared to the conventional P&O algorithm, and the EMS effectively manages the power flow to ensure reliable and efficient operation of the stand-alone PV and battery system.

ICAECE2023
Published
February 5, 2024