Intelligent maximum power point trackers for photovoltaic applications using FPGA chip: A comparative study

Solar Energy

Volumn 101, Issue , 2014, Pages 83-99

  Chekired, F ^a,e   Mellit, A ^a,b,c   Kalogirou, S A ^d   Larbes, C ^e  

^a CENTRE DE DÉVELOPPEMENT DES ENERGIES RENOUVELABLES   (Algeria)

^b UNIVERSITY OF JIJEL   (Algeria)

^c ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS   (Italy)

^d CYPRUS UNIVERSITY OF TECHNOLOGY   (Cyprus)

^e ECOLE NATIONALE POLYTECHNIQUE   (Algeria)

Author keywords

Co simulation; FPGA; Intelligent MPPTs; Photovoltaic system; Real time implementation

Indexed keywords

COSIMULATION; DESIGN AND IMPLEMENTS; INTELLIGENT MPPTS; MATLAB/SIMULINK ENVIRONMENT; MAXIMUM POWER POINT TRACKER; PHOTOVOLTAIC APPLICATIONS; PHOTOVOLTAIC SYSTEMS; REAL-TIME IMPLEMENTATIONS;

CONTROLLERS; FUZZY LOGIC; GENETIC ALGORITHMS; HYBRID SYSTEMS; PHOTOVOLTAIC CELLS; RECONFIGURABLE HARDWARE;

FIELD PROGRAMMABLE GATE ARRAYS (FPGA);

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; GENETIC ALGORITHM; NUMERICAL MODEL; PHOTOVOLTAIC SYSTEM; REAL TIME; RENEWABLE RESOURCE; SOFTWARE; SOLAR POWER; TRACKING;

EID: 84892464522     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2013.12.026     Document Type: Article

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