An efficient, intelligent PSO-P&O-PI MPPT mechanism for Photovoltaic Systems under variable climatic conditions

Abstract

In recent years, there has been a global challenge in developing MPPT algorithms that provide maximum power efficiency. This paper deals with a novel P&O-PI MPPT mechanism where the soft computing technique called particle swarm optimization (PSO) is used to tune the PI parameters. The proposed approach was designed to improve the tracking response time of MPP with high efficiency. This MPPT is applied to two types of PV systems: tracking systems and fixed systems. The energy gain of a dual-axis tracker was compared to that of a fixed system. Simulation results were carried out in Matlab and Simulink environments to demonstrate the effectiveness of the suggested control strategy in terms of productivity, efficiency, and oscillations under different fast environmental conditions. We can see that the recommended technique shows excellent performance in terms of power overshoot, low oscillation, and response time. The PSO-P&O-PI-algorithm offers a considerable improvement in tracking efficiency of 99.90% and a time response of 0.023 s. We have demonstrated the significance of involving the sun-tracker PV system regarding produced power (acquired power) with around 25% energy gain, particularly during the less sunny hours.

Keywords

• fixed mount pv system
• dual axis tracking
• mppt
• pso-p&o-pi
• performance