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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 7, ISSUE 4, APRIL 2018

Automatic power supply selection and supervisory predictive control

Adrustavantha R, Aravind D, Chaithra K, Dayananda T B

DOI: 10.17148/IJARCCE.2018.7442

Abstract: As we all are aware of the fact that the demand of electricity is increasing every day and India being the populated country the most commonly problem faced are frequent power cut and low energy resources. The main objective of the work is to solve both these problem by not relying on main supply source and switching into renewable source of energy i.e. solar energy. The work also provide additional advantage i.e. Automation which is done by using microcontroller (8051) family. This paper presents a supervisory model predictive control method for the optimal management of solar energy generation. This work present supervisory control system through model predictive control which calculates the power references for solar subsystems at each sampling time and prediction of the charging and discharge time of the solar battery in hours.



Keywords: Renewable energy source, microcontroller, solar energy, supervisory predictive control.

How to Cite:

[1] Adrustavantha R, Aravind D, Chaithra K, Dayananda T B, “Automatic power supply selection and supervisory predictive control,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.7442