IoT & Machine Learning Paradigm for Next Generation Solar Power Plant Monitoring System

  • Ganesh V. Karbhari, Dr. Pragya Nema

Abstract

Proposed method is the real time technique which helps for controlling and monitoring method of solar power plant using IoT. Solar power plant activities cannot be remotely accessed and monitored by traditional PLC technology. So, approach of Internet of Things (IoT) and Machine Learning is introduced in management of solar power systems. Internet of things is a combination of various physical technologies along with cloud uses. Basic required terms are heterogeneous network for communication of objects, required hardware of each object, and processing / computing power of each object and security of each element in the IOT. The solar power generation can be monitored and increased using this novel method. Rotation of solar panels can be controlled using servomotors as per the sun direction; hence it will enhance power generation efficiency. This is achieved by designing a photovoltaic system, building the analog circuitry for proper voltage and current readings, and creating a webserver that displays the monitored data in a user-friendly charting interface. The webserver is in WAN (Wide Area Network) and could therefore be accessed anywhere in the world that benefits from an Internet connection.

Published
2020-04-03
How to Cite
Ganesh V. Karbhari, Dr. Pragya Nema. (2020). IoT & Machine Learning Paradigm for Next Generation Solar Power Plant Monitoring System. International Journal of Advanced Science and Technology, 29(3), 7287 - 7295. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/7593
Section
Articles