Genetically Optimization of an Asymmetrical Fuzzy Logic Based Photovoltaic Maximum Power Point Tracking Controller

This paper introduces a new fuzzy logic controller (FLC) based photovoltaic (PV) maximum power point tracking (MPPT) optimized with the genetic algorithm (GA). Four FLCs with five and seven numbers of triangular (tri) and generalized bell (g-bell) membership functions (MFs) are analyzed. The perfo...

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Principais autores:	AL-GIZI, A., AL-CHLAIHAWI, S., LOUZAZNI, M., CRACIUNESCU, A.
Format:	Artigo
Jezik:	Inglês
Izdano:	Stefan cel Mare University of Suceava 2017-11-01
Serija:	Advances in Electrical and Computer Engineering
Teme:	fuzzy logic genetic algorithms maximum power point trackers optimization photovoltaic systems
Online dostop:	http://dx.doi.org/10.4316/AECE.2017.04009
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