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The new MPPT algorithm using ANN-based PV
2010 International Forum on Strategic Technology, IFOST 2010 Số , năm 2010 (Tập , trang 402-407)
DOI: 10.1109/IFOST.2010.5668004
Tài liệu thuộc danh mục: Scopus
Conference Paper
English
Từ khóa: Artificial Neural Network; Incremental conductance (IncCond); Maximum power point tracking (MPPT); Photovoltaic (PV); Virtex II pro; Algorithms; Energy efficiency; Field programmable gate arrays (FPGA); Optical flows; Photovoltaic cells; Photovoltaic effects; Pumps; Solar energy; Solar power generation; Neural networks
Tóm tắt tiếng anh
In grid connected photovoltaic (PV) systems, maximum power point tracking (MPPT) algorithm plays an important role in optimizing the solar energy efficiency. In this paper, the new artificial neural network (ANN) based MPPT method has been proposed for searching maximum power point (MPP) fast and exactly. For the first time, the combined method is proposed, which is established on the ANN-based PV model method and incremental conductance (IncCond) method. The advantage of ANN-based PV model method is the fast MPP approximation base on the ability of ANN according the parameters of PV array that used. The advantage of IncCond method is the ability to search the exactly MPP based on the feedback voltage and current but don't care the characteristic on PV array.. The effectiveness of proposed algorithm is validated by simulation using Matlab/ Simulink and experimental results using kit field programmable gate array (FPGA) Virtex II pro of Xilinx. �2010 IEEE.
