Determination of The Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm

Abstract

The importance of access to water resources cannot be overstated, as it is vital for meeting the basic human needs, safeguarding public health, ensuring food production, and promoting sustainable socio-economic development. However, the agricultural sector faces a significant challenge in meeting its irrigation needs, as it heavily relies on energy sources. Therefore, environmentally sound technologies for water supply are urgently needed. Remote photovoltaic water pumping systems provide a promising alternative for fulfilling irrigation needs in rural areas. This paper presents a highly efficient model for a photovoltaic water pumping system that employs a maximum power point tracker (MPPT) with the P&O observation disturbance algorithm. The system's performance is simulated using MATLAB, and the results show that MPPT technology can greatly enhance the efficiency and performance of photovoltaic water pumping systems.