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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM13686

SOLAR ENERGY OPTIMIZATION USING ARDUINO BASED MAXIMUM POWER POINT TRACKING SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM13686

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM13686

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

BVVA

B V V Anjaneyulu

BPK

B. Prasanna Kumar

DD

D Dushyant

KL

K Likitha

AKK

A Kusuma Kumar

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Abstract

Now a day’s solar power is very helpful in our everyday life. This power is used in many ways such as homemade electrical appliances, vehicles, satellites and industries etc. The title of this project is “Solar Energy Optimization Using Arduino Based Maximum Power Tracking System”. This movement is achieved by installing a couple of servo motors with the solar panel that changes its direction according to the positioning of the sun. There are basically three major parts of this project, sensor, microcontroller and two servo motors. ATmega328 microcontrollers have been used for this purpose. It receives sensor output signal and controls servo motors according to the assigned program. One servo motor is used horizontally to move the panel upward and downward. The other is used vertically from left to right direction. As the solar panel is connected in servo motor so the position of solar panel is same to the servo motor. Since the maximum solar ray is fallen down on the solar panel module so that the maximum power output can be achieved

KEYWORDS

Energy consumption ARDUINO Microcontroller seromotor solorpanel powersupply.

Cite This Article

B V V Anjaneyulu, B. Prasanna Kumar, D Dushyant, K Likitha, A Kusuma Kumar, "SOLAR ENERGY OPTIMIZATION USING ARDUINO BASED MAXIMUM POWER POINT TRACKING SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022. https://doi.org/10.55041/IJSREM13686

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Publication Date

5/25/2022

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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