Current Sensorless PO-PSO MPPT Control for PV Systems based on Dynamic Observer

Solar Energy from photovoltaic (PV) systems are among the most used alternative for power generation. Maximum Power Point Tracking (MPPT) algorithms must be applied to it to extract the maximum power from PV panels. Usually, these algorithm requires PV voltage and current sensors to track maximum power. This paper proposes a modified current observer with hybrid Perturb & Observe (P&O) and Particle Swarm Optimization (PSO) based Maximum Power Point Tracking (MPPT) control algorithm. This observer is designed to estimate the current with precise error under harsh environmental conditions. The robust observer ensures that the MPPT algorithm does not converge to false MPP tracking. This observation-based current sensing reduces the overall cost of the PV system, algorithmic burden, time complexity, and internal sensor complexity. The proposed observer drives the error faster than the conventional luenberger observer and eliminates the wrong direction drive. The error between the actual and observed value is less than 5 % at any point. The proposed system is verified using simulations in SIMULINK.