Abstract

The intelligent solar photovoltaic (SPV) system, the reduced size and flexible applicability is highly required for the areas where per capita income is lower and cost becomes a crucial issue. Therefore, in this paper, an easier model of the internet of things (IoT) based SPV system is designed and proposed along with the application of basic maximum power point tracking (MPPT) methods. Consequently, a better time-response characteristics, accuracy, efficiency and economical value are obtained. To achieve this, firstly, a single-diode SPV system with boost converter topology is used that was previously designed in literature. Further, easy-structured perturb & observe (P&O) and incremental conductance (IC) MPPT methods are analyzed using a low-cost Arduino Uno board in Proteus software, where, these MPPT algorithms are executed under the convincing profiles of irradiance. Above all, the obtained PV power, PV voltage, humidity, air quality, rain, obstacle etc. are monitored using the particular sensors and displayed on the internet with the exact coordinates of the location. Based on the data sensed from the various sensors, an alert system via email is also developed that ensures the desired outcome along with reduced manpower for the system studied.

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