Aarav Patel
Independent Researcher
India
Abstract
The increasing demand for renewable energy has driven significant advancements in photovoltaic (PV) systems, particularly in optimizing energy extraction. Maximum Power Point Tracking (MPPT) algorithms play a critical role in enhancing the efficiency of PV systems by continuously adjusting the operating point to maximize power output under varying environmental conditions. This paper presents a comprehensive study on the implementation of various MPPT algorithms in PV systems, focusing on their operational principles, performance metrics, and practical challenges. A comparative analysis of traditional algorithms such as Perturb and Observe (P&O), Incremental Conductance (IncCond), and Constant Voltage (CV) is conducted. Experimental validation and simulation results highlight the efficiency improvements and convergence speeds of each algorithm under different irradiance and temperature conditions. The study concludes with insights into selecting appropriate MPPT algorithms for specific applications and outlines future research directions in this domain.
Keywords
Maximum Power Point Tracking, MPPT algorithms, Photovoltaic systems, Perturb and Observe, Incremental Conductance, Renewable energy.
REFERENCES
- Esram, T., & Chapman, P. L. (2007). Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion, 22(2), 439–449. https://doi.org/10.1109/TEC.2006.874230
- Hohm, D. P., & Ropp, M. E. (2003). Comparative study of maximum power point tracking algorithms. Progress in Photovoltaics: Research and Applications, 11(1), 47–62. https://doi.org/10.1002/pip.459
- Femia, N., Petrone, G., Spagnuolo, G., & Vitelli, M. (2005). Optimization of perturb and observe maximum power point tracking method. IEEE Transactions on Power Electronics, 20(4), 963–973. https://doi.org/10.1109/TPEL.2005.850975
- Xiao, W., & Dunford, W. G. (2004). A modified adaptive hill climbing MPPT method for photovoltaic power systems. Proceedings of the 35th Annual IEEE Power Electronics Specialists Conference, 1957–1963. https://doi.org/10.1109/PESC.2004.1355441
- Salas, V., Olias, E., Barrado, A., & Lazaro, A. (2006). Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems. Solar Energy Materials and Solar Cells, 90(11), 1555–1578. https://doi.org/10.1016/j.solmat.2005.10.023
- Liu, F., Duan, S., Liu, B., & Xu, Y. (2008). A high-efficiency PV module integrated converter for PV energy system. IEEE Transactions on Power Electronics, 23(3), 1196–1204. https://doi.org/10.1109/TPEL.2008.921010
- Killi, M., & Samanta, S. (2015). Modified perturb and observe MPPT algorithm for drift avoidance in photovoltaic systems. IEEE Transactions on Industrial Electronics, 62(9), 5549–5559. https://doi.org/10.1109/TIE.2015.2411632
- Zhang, Y., Wu, L., & Li, J. (2013). A novel variable step size incremental resistance MPPT method for photovoltaic systems. IEEE Transactions on Industrial Electronics, 61(11), 5957–5968. https://doi.org/10.1109/TIE.2013.2286566
- Subudhi, B., & Pradhan, R. (2013). A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Transactions on Sustainable Energy, 4(1), 89–98. https://doi.org/10.1109/TSTE.2012.2202294
- Enslin, J. H. R., & Snyman, D. B. (1992). Combined low-cost, high-efficient inverter, peak power tracker and regulator for PV applications. IEEE Transactions on Power Electronics, 6(1), 73–82. https://doi.org/10.1109/63.65002
