A Continuous Health Monitoring System for Photovoltaic Array Using Arduino Microcontroller
- 1 Department of Electrical and Electronic Engineering, Cheran College of Engineering, Karur, India
- 2 Department of Electrical and Electronic Engineering, Kamaraj College of Engineering and Technology, Virudhunagar, India
- 3 Department of Electrical and Electronic Engineering, Sethu Institute of Technology, Kariapatti, India
- 4 Kamaraj College of Engineering and Technology, Virudhunagar, India
Abstract
In this paper new technique is developed to monitor the health status of the PV panels in the array. For finding the health status short circuit current is measured continuously over a fixed time period. This technique can classify the health status into four categories such as Healthy, Low Fault, Medium Fault and High Fault. By this classification faulty operation can be rectified and power generation may be improved. In case of high faults, PV panels can be protected. The cost requirement for the implementation is very low. The proposed technique is implemented in MATLAB Simulation and hardware. The array considered in this paper is 2 × 2 Series Parallel .
- Mahendran, M., Anandharaj, V., Vijayavel, K. and Prince Winston, D. (2015) Permanent Mismatch Fault Identification of Photovoltaic Cells Using Arduino. ICTACT Journal on Microelectronics, 1, 79-82. http://dx.doi.org/10.21917/ijme.2015.0014
- Jeba Singh, O. and Prince Winston, D. (2014) A Survey on Classification of Power Quality Disturbances in a Power System. Journal of Engineering Research and Applications, 4, 80-84.
- Sakthivel, K. and Prince Winston, D. (2014) Application of Optimization Techniques in Smart Grids. International Journal of Science, Engineering and Technology Research (IJSETR), 3, 32-36.
- Prince Winston, D. and Merlin, Ms. (2014) Fuzzy Logic Based Control of a Grid Connected Hybrid Renewable Energy Sources. International Journal of Scientific & Engineering Research, 5, 1043-1048.
- Ramaprabha, R. and Mathur, B.L. (2009) Impact of Partial Shading on Solar PV Module Containing Series Connected Cells. International Journal of Recent Trends in Engineering, 2, 56-60.
- Manikandan, P., Neviya, V., Ganesan, L.J. and Prince Winston, D. (2014) Experimental Analysis of Total Harmonic Distortion by Applying Various PWM Techniques on Three Phase Squirrel Cage Motor. International Journal of Research in Computer Applications and Robotics, 2, 82-92.
- Vaidya, V. and Wilson, D. (2013) Maximum Power Tracking in Solar Cell Arrays Using Time-Based Reconfiguration. Renewable Energy, 50, 74-81. http://dx.doi.org/10.1016/j.renene.2012.06.001
- Alsayid, B.A., Alsadi, S.Y., Jallad, J.S. and Dradi, M.H. (2013) Partial Shading of PV System Simulation with Experimental Results. Smart Grid and Renewable Energy, 4, 429-435. http://dx.doi.org/10.4236/sgre.2013.46049
- Ganesh Raja, B. and Prince Winston, D. (2014) Design and Simulation of Multilevel Inverter Suitable for Grid Connected Photovoltaic System. Advances in Electronic and Electric Engineering, 4, 31-40.
- Potnuru, S.R., Pattabiraman, D., Ganesan, S.I. and Chilakapati, N. (2015) Positioning of PV Panels for Reduction in Line Losses and Mismatch Losses in PV Array. Renewable Energy, 78, 264-275. http://dx.doi.org/10.1016/j.renene.2014.12.055
- Praveen, S. and Prince Winston, D. (2014) Protection and Performance Improvement of a Photovoltaic Power System. Advances in Electronic and Electric Engineering, 4, 41-48.
- Ramaraj, R., Pounraj, P., Prince Winston, D., SakthiSuriya Raj, J.S. and Cynthia Christabel, S. (2015) Analysis of PV Power Generation under Partial Shading and Hotspot Condition. International Journal of Applied Engineering Research, 10, 3443-3447.