Abstract
The paper presents the results of the investigation of the influence of asymmetric membership functions in a fuzzy controller on the quality of MPPT regulation in the photovoltaic system. Comparison of the quality of fuzzy MPPT regulation with symmetrical and asymmetric membership functions is carried out. The results of the research showed the advantage of using asymmetric membership functions in the MPPT algorithm with fuzzy logic.
Highlights
Maximum Power Point Tracking (MPPT) - maximum power point tracking - one of the most effective ways to increase the efficiency of photovoltaic systems
The symmetry of membership functions in a fuzzy controller is determined by the shape of the fuzzy subset area
The shape of such area is determined by the base of fuzzy rules
Summary
MPPT - maximum power point tracking - one of the most effective ways to increase the efficiency of photovoltaic systems. The devices analyze the current vs voltage curve (CvV) by certain algorithms and determine the optimal current-voltage pair providing the maximum output power. The most common MPPT algorithm is the “perturbation-observation” algorithm.
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