Abstract
In order to maximize the amount of radiation collected by a solar PV panel, the tracker must follow the sun throughout the day. The tracking mechanism of sun required electric motors, light sensors, gearbox, and electronic control to accurately focus at the sun at all times which make the tracking system complex. Also to get maximum power from solar PV panel, MPPT technique must be implemented to the system. This paper deals with new approach for solar tracking and MPPT using single neural network control scheme aiming to reduce overall cost and complexity without nixing efficiency of solar photovoltaic system. The simulation model is done in the MATLAB Simulink for system analysis.
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Singh, N.K., Badge, S.S., Salimath, G.F. (2018). Solar Tracking for Optimizing Conversion Efficiency Using ANN. In: Bhateja, V., Coello Coello, C., Satapathy, S., Pattnaik, P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-10-7566-7_55
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DOI: https://doi.org/10.1007/978-981-10-7566-7_55
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