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Bio-Inspired Computing: Theories and Applications, International Conference on (2011)
Penang, Malaysia
Sept. 27, 2011 to Sept. 29, 2011
ISBN: 978-0-7695-4514-1
pp: 129-134
ABSTRACT
In photovoltaic (PV) generation systems, to get the maximum of the solar output power is the essential part to raise the efficiency of the whole system. A new Artificial Neural Network (ANN) based algorithm for Maximum Power Point Tracking (MPPT) has been proposed in this work. By using the duty ratio data generated from the finest results of the traditional Incremental Conductance (IncCond) method as the neural network training data, and building the DC-DC boost tracker to test it in Saber simulation software, the simulation results are shown to clarity the effectiveness of the proposed method.
INDEX TERMS
Photovoltaic, Artificial Neural Network, MPPT, Saber simulation, DC-DC boost converter
CITATION

J. Xu, W. Rao, A. Shen, C. Yang and X. Yang, "ANN Based on IncCond Algorithm for MPP Tracker," Bio-Inspired Computing: Theories and Applications, International Conference on(BIC-TA), Penang, Malaysia, 2011, pp. 129-134.
doi:10.1109/BIC-TA.2011.16
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