MPPT Study of Outdoor Sensing Terminal PV System Based on Improved PSO Algorithm

Abstract

With the popularity of wireless sensor use, the problem of supplying energy to its outdoor nodes is becoming more and more prominent. An outdoor wireless sensing terminal photovoltaic system is proposed to address the problem of outdoor wireless sensing terminal node power supply. The maximum power tracking (MPPT) is achieved by Adaptive weight adjustment Particle swarm optimization (AwaPSO) to achieve fast tracking and stable and reliable output, so that the Buck main circuit output of the PV system can meet the working requirements of the outdoor sensor terminal. The simulation model is built by Matlab/Simulink, and the simulation results show that the improved PSO algorithm can track the maximum power quickly and output stably and reliably, with the stabilization time shortened to 0.041s and the tracking error up to 0.625%, and its speed and stability can meet the outdoor wireless sensing terminal PV power supply requirements.