Anzeige
Erschienen in:
2014 | OriginalPaper | Buchkapitel
PV Fouling Detecting System Based on Neural Network and Fuzzy Logic
verfasst von : Xuejuan Chen, Chunhua Wu, Hongfa Li, Xiayun Feng, Zhihua Li
Erschienen in: Intelligent Computing in Smart Grid and Electrical Vehicles
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
PV fouling detecting system based on neural network and fuzzy logic is proposed. Comparing with traditional methods, the proposed method is rapid adaptive and universal to all PV power station. Neural network is used to predict the maximum power point (MPP) of a PV module under any lighting conditions. Then fuzzy logic rule is used to identify the fouling condition according to the result from neural network prediction. The experiment shows that the neural network can precisely predict the MPP under any lighting environment and the fuzzy logic rules can precisely identify the fouling condition of PV modules.