Modified Regula Falsi optimization method approach to digital maximum power point tracking for photovoltaic application

摘要

This paper proposes an optimization method for digital maximum power point tracking (DMPPT), based on a Modified Regula Falsi Method (MRFM). An overview of this method applied to photovoltaic (PV) applications is presented, and its advantages with respect to other optimization methods for MPP applications are commented. The analysis shows that, when compared to other commonly used DMPPT methods such as the Perturb and Observe (P&O) method and the Incremental Conductance (INC) method, this approach converges to the maximum power point (MPP) faster and more accurately at any given environmental condition. Simulation and experimental results that validate the proposed MPP tracking algorithm tracking the MPP in environmental conditions are included.