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

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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Bibliographic Details
Main Authors: AL-GIZI, A., AL-CHLAIHAWI, S., LOUZAZNI, M., CRACIUNESCU, A.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2017-11-01
Series:Advances in Electrical and Computer Engineering
Subjects:
fuzzy logic
genetic algorithms
maximum power point trackers
optimization
photovoltaic systems
Online Access:http://dx.doi.org/10.4316/AECE.2017.04009

Internet

http://dx.doi.org/10.4316/AECE.2017.04009

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