An IOT Based Smart Solar Photovoltaic Remote Monitoring and Control unit
Author(s):
Pawan Moundekar, Shweta Wasnik, Likhita Pandagre, Prashant Pakhmode, Pradip Barde
Keywords:
face track; kalman filter; courier management; optimal node selection; wireless sensor network
Abstract
A smart solar photovoltaic grid system is an advent of innovation coherence of information and communications technology (ICT) with power systems control engineering via the internet. This thesis designs and demonstrates a smart solar photovoltaic grid system that self-healing, environmental and consumer friendly, but also with the ability to accommodate other renewable sources of energy generation seamlessly, creating a healthy competitive energy industry and optimizing energy assets efficiency. This thesis also presents the modeling of an efficient dynamic smart solar photovoltaic power grid system by exploring the maximum power point tracking efficiency, optimization of the smart solar photovoltaic array through modeling and simulation to improve the quality of design for the solar photovoltaic module. In contrast, over the past decade quite promising results have been published in literature, most of which have not addressed the basis of the research questions in this thesis. Using the Internet of Things Technology for supervising solar photovoltaic power generation can greatly enhance the performance, monitoring and maintenance of the plant. The discussion in this paper is based on implementation of new cost effective methodology based on IOT to remotely monitor a solar photovoltaic plant for performance evaluation. This will facilitate preventive maintenance, fault detection, historical analysis of the plant in addition to real time monitoring.
Article Details
Unique Paper ID: 146030

Publication Volume & Issue: Volume 4, Issue 11

Page(s): 1180 - 1183
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