Photovoltaic MPPT Algorithm Based on PVT-SIN

Abstract

Under complex shading condition (PSC), the P-V curve of the photovoltaic (PV) array exhibits multiple peaks. This phenomenon often causes classical algorithms to become trapped at local maximum power point (LMPP). Although soft computing methods can track the global maximum power point (GMPP), their tracking speed is relatively slow. To improve the efficiency of photovoltaic systems, this paper proposes a hybrid Maximum Power Point Tracking (MPPT) algorithm that integrates power-voltage (P-V) curve tracking based on impedance matching with variable step incremental conductance (PVT-SINC). The algorithm first uses P-V curve tracking technology (PVT) to determine the GMPP and its corresponding voltage value. Then it employs variable step incremental conductance (SINC) to rapidly and precisely track the GMPP. Simulation results shows that PVT-SINC algorithms average 99.98% tracking efficiency under six cases, with average convergence times of just 0.06 seconds, which can significantly improve the PV conversion efficiency, and bring considerable economic benefits for practical engineering applications.