MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives

Energy

Volumn 70, Issue , 2014, Pages 1-21

  Mellit, Adel ^a,b   Kalogirou, Soteris A ^c  

^a UNIVERSITY OF JIJEL   (Algeria)

^b CENTRE DE DÉVELOPPEMENT DES ENERGIES RENOUVELABLES   (Algeria)

^c CYPRUS UNIVERSITY OF TECHNOLOGY   (Cyprus)

Author keywords

Artificial intelligence; Field programmable gate arrays chip; Implementation; Maximum power point tracking; Photovoltaic systems; Programmable logic devices; Real time applications

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; FUZZY LOGIC; GENETIC ALGORITHMS; LOGIC DEVICES; PARTICLE SWARM OPTIMIZATION (PSO); PHOTOVOLTAIC CELLS; PROGRAMMABLE LOGIC CONTROLLERS; RENEWABLE ENERGY RESOURCES; SIGNAL RECEIVERS;

IMPLEMENTATION; MAXIMUM POWER POINT TRACKING; PHOTOVOLTAIC SYSTEMS; PROGRAMMABLE LOGIC DEVICE; REAL-TIME APPLICATION;

FIELD PROGRAMMABLE GATE ARRAYS (FPGA);

ARTIFICIAL INTELLIGENCE; FUTURE PROSPECT; GENETIC ALGORITHM; LITERATURE REVIEW; PHOTOVOLTAIC SYSTEM; REAL TIME; RENEWABLE RESOURCE;

EID: 84901674490     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.03.102     Document Type: Review

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