Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

IOT based Fault Diagnostic Device for Photovoltaic Panels

Author : ShanthaMoorthy S 1 Vanajakshi M 2 Varsha R 3 Spurthy 4 Rahul Kolekar 5 V.K. Tivari 6

Date of Publication :24th May 2018

Abstract: A device for fault diagnostic of photovoltaic panels is presented. At the present condition there is only a static panel, but in this system maximum power tracking can be implemented using LDR. It will rotate according to the maximum sunlight. When we compare with existing system can’t able to find out the fault in the appropriate panel or in a row of panels. By using the IoT the fault can be detected in which row the fault has occurred. As the voltage decreases there is an indication of the fault in the panel

Reference :

    1. O. Shekoofa and M. Taherbaneh, ―Modelling of Silicon Solar Panel by MATLAB/Simulink and Evaluating the Importance of Its Parameters in a Space Application,‖ 2007 3rd Int. Conf. Recent Adv. Sp. Technol., pp. 719–724, Jun. 2007.
    2. E. M. D. S. Brito, a. F. Cupertino, L. P. Carlette, D. O. Filho, H. a. Pereira, and P. F. Ribeiro, ―Comparison of solar panel models for grid integrations studies,‖ 2012 10th IEEE/IAS Int. Conf. Ind. Appl., pp. 1–8, Nov. 2012.
    3. H. Wei and J. Cong, ―Extracting solar cell model parameters based on chaos particle swarm algorithm,‖ in 2011 International Conference on Electric Information and Control Engineering, 2011, pp. 398–402.
    4. A. Reza Reisi, M. Hassan Moradi, and S. Jamasb, ―Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review,‖ Renew. Sustain. Energy Rev., vol. 19.
    5. P. Suskis and I. Galkin, ―Enhanced photovoltaic panel model for MATLAB-simulink environment considering solar cell junction capacitance,‖ in IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013, pp. 1613–1618.
    6. K. Ishaque and Z. Salam, ―A Deterministic Particle Swarm Optimization Maximum Power Point Tracker for Photovoltaic System Under Partial Shading Condition,‖ IEEE Trans. Ind. Electron., vol.60
    7. M . Miyatake, M. Veerachary, F. Toriumi, N. Fujii, and H. Ko, ―Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach,‖ IEEE Trans. Aerosp. Electron. Syst., vol. 47, no. 1, pp. 367–380, Jan. 2011.
    8. K. L. Lian, J. H. Jhang, and I. S. Tian, ―A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization,‖ IEEE J. Photovoltaics, vol. 4, no. 2, pp. 626–633, Mar. 2014.

Recent Article