• Shyam Kumar L
• Vignesh Babu A

This paper presents the idea of integrating an IOT system to collect the real-time data of the PV system controlled by a Fuzzy based Maximum power point tracking logic controller. Solar energy is considered as one of the major sources of renewable energy, available throughout the globe and also free of cost. Solar photovoltaic (PV) cells are used to convert solar energy into unregulated electrical energy. These solar PV cells exhibit nonlinear characteristics and exhibits very low efficiency. Therefore, it becomes important to tap maximum power from solar PV system by using maximum power point tracking (MPPT). The behaviour of MPPT techniques under regularly changing atmospheric conditions is very critical. The proposed Fuzzy MPPT technique works fast and gives improved results under varying solar irradiation. Furthermore, the steady state oscillations are also reduced considerably. This MPPT controlled PV system is then monitored by an IOT system which gives a real-time condition of the system and also backs up the data collected into the cloud for future use.

MPPT, Photovoltaic, perturb & observe, Power electronics, IoT

"Maximum Power Point Tracking Using Fuzzy Logic Controller for PV system Integrated with Internet of Things", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.315-320, April-2019, Available :http://www.jetir.org/papers/JETIR1904M48.pdf

"Maximum Power Point Tracking Using Fuzzy Logic Controller for PV system Integrated with Internet of Things", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp315-320, April-2019, Available at : http://www.jetir.org/papers/JETIR1904M48.pdf