An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems

Recently, solar energy has been intensively employed in power systems, especially using the photovoltaic (PV) generation units. In this regard, paper proposes a novel design of fuzzy logic based algorithm for varying step size incremental conductance (INC) maximum point tracking (MPPT) method PV. proposed method, variable voltage is estimated according to degree ascent or descent power-voltage relation. For purpose, unique treatment on introducing five effective regions around PV power. To vary duty cycle, system developed locations inputs regarding regions. The are inspired from slope relation, namely current-voltage ratio and its derivatives whereas appropriate membership functions rules designed. benefit that MPPT efficiency improved thanks coordination between INC method. output DC array speed presented as indices illustrating improvement achieved MPPT. verified tested through simulation grid-connected model. results reveal valuable static dynamic responses over traditional with variation environmental conditions. Further, it enhances dc reduce convergence time reach steady state condition intermittent