Design and Implementation of P&O Maximum Power Point Tracker Algorithm Based Solar Charge Controller

Abstract

: Solar energy is one of the main sources of renewable energy. In photovoltaic systems, energy is obtained from photovoltaic batteries In photovoltaic batteries, the current and voltage do not increase linearly. This causes the power to take different values. There is a point where power reaches its peak. Detecting this point called the maximum power point and transferring the energy to the load at this point, reduces the losses and increases the efficiency. Many microcontroller controlled circuits have been designed and algorithms have been developed for maximum power point trackingPerturb and Observe algorithm is the most widely used algorithm. In this study; Maximum Power Point Tracker Algorithm Based Solar Charge Controller is designed. Arduino microcontroller card was used as it has easy programmability and rapid prototype development. Developed charge regulator determines the maximum power point by measuring the current voltage values and charge the battery at this point. The current, voltage, battery charge rate and charge status information obtained from the charge controller can be monitored by android mobile devices. The developed charge control circuit has been tested using a 45 Watt photovoltaic panel under different weather conditions. It was observed that it followed the maximum power point.

Keywords

• Maximum Power Point,Mppt Tracking,Solar Charge Regulator,Solar Charge Controller

References

1. C. A. G. Castaneda, “Maximum power point tracking using modified P&O method for the off grid radar,” M.S. thesis, Dept. Electrical Eng., Puerto Rico Univ., Mayagüez, Puerto Rico, 2008.
2. S. Hegde, “Solar micro inverter,” M.S. thesis, Dept. Electrical and Computer Eng., Pardue Univ., Indiana, USA, 2014.
3. M. Sokolov, “Small-signal modelling of maximum power point tracking for photovoltaic systems,” Ph.D. dissertation, Dept. Elect. and Electron. Eng., Imperial College London., London, England, 2013.
4. S. Uprety, “Design of integrated photovoltaic energy harvesters for portable and standalone,” Ph.D. dissertation, Dept. Electrical Eng., Texas Univ., Texas, USA, 2016.
5. S. Poshtkouhi et al., “A general approach for quantifying the benefit of distributed power electronics for fine grained MPPT in photovoltaic applications using 3-D modeling,” IEEE Transactions on Power Electronics, vol. 27, no. 11, pp. 4556–4566, Nov. 2012.
6. A. Kocabaş, “Design and optimization of a fuzzy logic based maximum power point tracker for pv panel,” M.S. thesis, Dept. Elect.and Electron.Eng., Karadeniz Technical Univ., Trabzon,2017.
7. L. Xuejun, “An improved perturbation and observation maximum power point tracking algorithm for PV panels,” M.S. thesis, Dept. Electrical and Computer Eng., Concordia Univ., Quebec, Canada, 2004.
8. A. B. Bülbül, “Güneş panelleri için bir maksimum güç noktası izleme algoritmaları sınama düzeneğinin tasarımı ve gerçekleştirilmesi,” M.S. thesis, Fen Bilimleri Enstitüsü., Gazi Univ., Ankara, 2011.

9. N. S. D’Souza, “Variable perturbation size maximum power point tracking algorithms for photovoltaic systems,” M.S. thesis, Dept. Electrical and Computer Eng., Concordia Univ., Quebec, Canada, 2006.
10. B. A. Fennich, “Tracking the global maximum power point of PV arrays under partial shading conditions,” M.S. thesis, Dept. Electrical Eng., Texas Univ., Texas, USA, 2013.
11. M. E. Başoğlu, “Güneş enerji sistemlerinde kullanılan maksimum güç noktası izleyicili yükseltici da-da dönüştürücü analizi ve gerçekleştirilmesi,” M.S. thesis, Fen Bilimleri Enstitüsü., Kocaeli Univ., Kocaeli, 2013.
12. A. Dolara, R. Faranda, and S. Leva, “Energy comparison of seven mppt techniques for pv systems,” J. Electromagnetic Analysis & Applications, 2018, to be published. DOI: 10.4236/jemaa.2009.13024.
13. T. Esram and P. Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439–449, June 2007.
14. M A. Elgendy, B. Zahawi, and D. J. Atkinson, “Operating characteristics of the P&O algorithm at high perturbation frequencies for standalone PV systems,” IEEE Transactions on Energy Conversion, vol. 30, no. 1, pp. 189–198, March 2015.
15. Ş. Özdemir, “Yenilenebilir enerji kaynakları için tek aşamalı MPPT denetimli çok seviyeli eviricinin gerçekleştirilmesi,” Ph.D. dissertation, Fen Bilimleri Enstitüsü, Gazi Univ., Ankara, 2013.
16. E. Kökçam, “Matlab simulink ortamında buck tipi bir dönüştürücünün çıkış geriliminin optimal kontrolü,” M.S. thesis, Fen Bilimleri Enstitüsü., Sakarya Univ., Sakarya, 2018.[A. Kumar, “Home automatıon vıa bluetooth usıng the arduıno uno mıcrocontroller,” M.S. thesis, Dept. Electrical Eng., California State Univ., Long Beach, USA, 2016.