Litcius/Paper detail

Hybrid GMPPT Technique for Photovoltaic Series Based on Fractional Characteristic Curve

Eduardo J. Barbosa, Marcelo C. Cavalcanti, Gustavo M. S. Azevedo, Rafael C. Neto, Eduardo Augusto Oliveira Barbosa, Fabrício Bradaschia

2023IEEE Journal of Photovoltaics21 citationsDOI

Abstract

This article proposes a hybrid global maximum power point (MPP) tracking technique, named improved global fractional characteristic curve (IGFCC), which combines the advantages of both the model-based and heuristic techniques. The IGFCC technique aims to achieve high speed and accuracy in tracking the MPP of photovoltaic (PV) modules. The model-based technique employed in the IGFCC technique utilizes a precise single-diode model that considers the effects of irradiance and temperature to estimate the MPP voltage. This model-based approach ensures accurate tracking of the MPP and is particularly suitable for PV series applications with string inverters. One of the advantages of the IGFCC technique is its computational efficiency. It involves solving simple equations derived from the single-diode model, which reduces the computational effort required for MPP tracking. This makes the technique practical and feasible for real-time implementation.

Topics & Concepts

Photovoltaic systemComputer scienceSeries (stratigraphy)Maximum power point trackingTracking (education)HeuristicString (physics)Power (physics)Point (geometry)VoltageDiodeControl theory (sociology)Electronic engineeringAlgorithmMathematicsInverterArtificial intelligenceEngineeringElectrical engineeringPhysicsGeometryPsychologyPaleontologyMathematical physicsBiologyControl (management)PedagogyQuantum mechanicsPhotovoltaic System Optimization TechniquesSolar Thermal and Photovoltaic SystemsSolar Radiation and Photovoltaics