Solar Power Plant Tracker Upgrade and MPPT Control with Internet of Things

Didik Notosudjono, Hazairin Samaulah, Muhamad Nopriansy, Bagus Dwi Ramadhon, Asri, Dimas Fiddiansyah

2019

Abstract

To maximize sunlight absorption by forming a perpendicular axis between the sun and the solar panel. A method which could be implemented on the solar panel system that could follow the sun’s movement is needed. On this design, the system uses a light diode sensor (LDR) that functions as the light detector, an Atmega238P-PU microcontroller as the command logic storage, and a servo motor as a mover to dislocate the position of the solar panel with Internet of Things (IoT). In the solar panel test which runs for 11 hours using the dual-axis solar panel tracker has yield a power of 9.4 W and after passing the MPPT control battery, it gives an average of 10.6 W. Compared to using a static solar panel method, it only yields a power of 6.8 Watt, and after passing the MPPT control battery, it gives an average power of 9.25 W.w

Paper Citation

in Harvard Style

Notosudjono D., Samaulah H., Nopriansy M., Ramadhon B., Fiddiansyah D. and Asri. (2019). Solar Power Plant Tracker Upgrade and MPPT Control with Internet of Things.In Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS, ISBN 978-989-758-452-7, pages 219-223. DOI: 10.5220/0009881602190223

in Bibtex Style

@conference{icasess19,
author={Didik Notosudjono and Hazairin Samaulah and Muhamad Nopriansy and Bagus Dwi Ramadhon and Dimas Fiddiansyah and Asri},
title={Solar Power Plant Tracker Upgrade and MPPT Control with Internet of Things},
booktitle={Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS,},
year={2019},
pages={219-223},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009881602190223},
isbn={978-989-758-452-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Applied Science, Engineering and Social Sciences - Volume 1: ICASESS,
TI - Solar Power Plant Tracker Upgrade and MPPT Control with Internet of Things
SN - 978-989-758-452-7
AU - Notosudjono D.
AU - Samaulah H.
AU - Nopriansy M.
AU - Ramadhon B.
AU - Fiddiansyah D.
AU - Asri.
PY - 2019
SP - 219
EP - 223
DO - 10.5220/0009881602190223