The new maximum power point tracking algorithm using ANN-based solar PV systems

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volumn , Issue , 2010, Pages 2179-2184

  Lee, Hong Hee ^a   Phuong, Le Minh ^b   Dzung, Phan Quoc ^b   Dan Vu, Nguyen Truong ^b   Khoa, Le Dinh ^b  

^a University of Ulsan   (South Korea)

^b University of Food Industry   (Viet Nam)

Author keywords

Artificial neural network (ANN); Incremental conductance (IncCond); Maximum power point tracking (MPPT); Photovoltaic (PV)

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMBINED METHOD; D-SPACE; FEEDBACK VOLTAGES; GRID-CONNECTED PHOTOVOLTAIC SYSTEM; INCREMENTAL CONDUCTANCE; INCREMENTAL CONDUCTANCE (INCCOND); MAXIMUM POWER POINT; MAXIMUM POWER POINT TRACKING; MAXIMUM POWER POINT TRACKING ALGORITHMS; MODEL METHOD; PHOTOVOLTAIC (PV); PV ARRAYS; SIMULINK; SOLAR PV SYSTEMS;

ALGORITHMS; ENERGY EFFICIENCY; OPTICAL FLOWS; PHOTOVOLTAIC CELLS; PHOTOVOLTAIC EFFECTS; PUMPS; SOLAR ENERGY; SOLAR POWER GENERATION;

NEURAL NETWORKS;

EID: 79951636361     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TENCON.2010.5686721     Document Type: Conference Paper

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