Fault detection and monitoring of solar photovoltaic panels using internet of things technology with fuzzy logic controller





photovoltaic system, automatic fault detection, DC-DC boost converter, perturb and observe algorithm, fuzzy nonlinear autoregressive exogenous approach, renewable energy source


Purpose. This article proposes a new control monitoring grid connected hybrid system. The proposed system, automatic detection or monitoring of fault occurrence in the photovoltaic application is extremely mandatory in the recent days since the system gets severely damaged by the occurrence of different faults, which in turn results in performance degradation and malfunctioning of the system. The novelty of the proposed work consists in presenting solar power monitoring and power control based Internet of things algorithm. In consideration to this viewpoint, the present study proposes the Internet of Things (IoT) based automatic fault detection approach, which is highly beneficial in preventing the system damage since it is capable enough to identify the emergence of fault on time without any complexities to generate Dc voltage and maintain the constant voltage for grid connected hybrid system. Methods. The proposed DC-DC Boost converter is employed in this system to maximize the photovoltaic output in an efficient manner whereas the Perturb and Observe algorithm is implemented to accomplish the process of maximum power point tracking irrespective of the changes in the climatic conditions and then the Arduino microcontroller is employed to analyse the faults in the system through different sensors. Eventually, the IoT based monitoring using fuzzy nonlinear autoregressive exogenous approach is implemented for classifying the faults in an efficient manner to provide accurate solution of fault occurrence for preventing the system from failure or damage. Results. The results obtained clearly show that the power quality issue, the proposed system to overcome through monitoring of fault solar panel and improving of power quality. The obtained output from the hybrid system is fed to the grid through a 3ϕ voltage source inverter is more reliable and maintained power quality. The power obtained from the entire hybrid setup is measured by the sensor present in the IoT based module. The experimental validation is carried out in ATmega328P based Arduino UNO for validating the present system in an efficient manner. Originality. The automatic Fault detection and monitoring of solar photovoltaic system and compensation of grid stability in distribution network based IoT approach is utilized along with sensor controller. Practical value. The work concerns a network comprising of electronic embedded devices, physical objects, network connections, and sensors enabling the sensing, analysis, and exchange of data. It tracks and manages network statistics for safe and efficient power delivery. The study is validated by the simulation results based on real interfacing and real time implementation.

Author Biographies

R. Shweta, Annamalai University

Research Scholar

S. Sivagnanam, Annamalai University


K. A. Kumar, Bharat Heavy Electricals Limited (BHEL)



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How to Cite

Shweta, R., Sivagnanam, S., & Kumar, K. A. (2022). Fault detection and monitoring of solar photovoltaic panels using internet of things technology with fuzzy logic controller. Electrical Engineering & Electromechanics, (6), 67–74. https://doi.org/10.20998/2074-272X.2022.6.10



Power Stations, Grids and Systems