UiTM Press Pulau Pinang

HOME: Online Issues

Skip to content

Performance evaluation of solar photovoltaic system based on perturb and observe (P&O) maximum power point tracking (MPPT) algorithm


Nurfarah Ayuni Abdul Khani School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Shah Alam, Malaysia Muhammad Iqbal Zakaria School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Shah Alam, Malaysia Mohd Abdul Talib Mat Yusoh School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA Shah Alam, Malaysia Muhammad Nizam Kamarudin Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia Abdul Rahman A.A Emhemed College of Technical Engineering, Bright Star University, El-Brega, Libya
Abstract
The Photovoltaic system (PV) is gaining popularity as a future energy source due to its vast, secure, essentially limitless, and widely accessible nature. However, a prevalent challenge in PV systems is the impact of solar cell radiation intensity and temperature on the output power induced in the photovoltaic module. As a result, monitoring the input source's maximum power point becomes essential for maximizing the effectiveness of the renewable energy system. In order to harvest the most power from the photovoltaic system and channel it to the load through a boost converter, which raises the voltage to the necessary level, most Power Point Tracking, or MPPT, is essential. This study uses the Perturb and Observe (P&O) method to track the photovoltaic module's Maximum Power Point (MPP) and maximize the system's overall power production to overcome this obstacle. By varying the array terminal voltage or current, the P&O approach perturbs the system and then compares the PV output power to the preceding perturbation cycle. Therefore, the main goal of this study is to simulate and assess the effectiveness of the P&O MPPT algorithm in MATLAB/Simulink when it comes to maximizing power extraction from a photovoltaic system. The simulation findings show that the suggested P&O approach is a reliable means of tracking MPP from PV panels, even when there are fluctuations in solar irradiation.
Keyword: Boost Converter, Maximum Power Point Tracking (MPPT), Perturb and Observe (P&O), Photovoltaic (PV) System
DOI: 10.24191/esteem.v20iSeptember.1593.g1826
References:
[1] D. Guiza, D. Ounnas, Y. Soufi, A. Bouden and M. Maamri, “Implementation of Modified Perturb and Observe based MPPT Algorithm for Photovoltaic System,” in 1st Int. Conf. on Sustainable Renewable Energy Systems and Applications, 2019. Available: https://ieeexplore.ieee.org/document/9182483. [2] CH. S. Kumar and G. Mallesham, “A new hybrid boost converter with P&O MPPT for high gain enhancement of solar PV system,” Materials Today: Proceedings, vol. 57, no. 5, pp. 2262–2269, 2022. Available: https://doi.org/10.1016/j.matpr.2021.12.487. [3] S. S. Dash and R. K. Dwibedi, “Design and Implementation of Perturb & Observe MPPT Algorithm under Partial Shading Conditions (PSC) for DC-DC Boost Converter by Simulation analysis,” in 2020 Int. Conf. on Computational Intelligence for Smart Power System and Sustainable Energy, 2020. Available: https://doi.org/10.1109/CISPSSE49931.2020.9212221. [4] N. A. Yusri, S. N. H. M. Tarmizi, M. I. Zakaria, S. F. M. Hussein, and A. R. A. Emhemed, “Enhancing photovoltaic system efficiency through fuzzy logic-based maximum power point tracking,” International Journal of Electrical Engineering and Applied Sciences, vol. 6, no. 2, pp. 43–52, 2023. Available: https://ijeeas.utem.edu.my/ijeeas/article/view/6173. [5] M. Moutchou and A. Jbari, “Fast photovoltaic IncCond-MPPT and backstepping control, using DC-DC boost converter,” Int. J. of Electrical and Computer Engineering, vol. 10, no. 1, pp. 1101–1112, 2020. Available: http://doi.org/10.11591/ijece.v10i1.pp1101-1112. [6] A. I. M. Ali and H. R. A. Mohamed, “Improved P&O MPPT algorithm with efficient open-circuit voltage estimation for two-stage grid-integrated PV system under realistic solar radiation,” Int. J. of Electrical Power & Energy Systems, vol. 137, p. 107805, 2022. Available: https://doi.org/10.1016/j.ijepes.2021.107805. [7] A. B. Kebede and G. B. Worku, “Comprehensive review and performance evaluation of maximum power point tracking algorithms for photovoltaic system,” Global Energy Interconnection, vol. 3, no. 4, pp. 398–412, 2020. Available: https://doi.org/10.1016/j.gloei.2020.10.008. [8] M. I. Aziz Jafar, M. I. Zakaria, N. Y. Dahlan, M. N. Kamarudin, and N. El Fezazi, “Enhancing photovoltaic system maximum power point tracking with fuzzy logic-based perturb and observe method,” International Journal of Electrical and Computer Engineering, vol. 14, no. 3, pp. 2386–2399, 2024. Available: https://doi.org/10.11591/ijece.v14i3. [9] I. Al-Wesabi, Z. Fang, H. M. Hussein Farh, A. A. Al-Shamma’a and A. M. Al-Shaalan, “Comprehensive comparisons of improved incremental conductance with the state-of-the-art MPPT Techniques for extracting global peak and regulating dc-link voltage,” Energy Reports, vol. 11, pp. 1590–1610, 2024. Available: https://doi.org/10.1016/j.egyr.2024.01.020. [10] V. Bhan, A. A. Hashmani, and M. M. Shaikh, “A new computing perturb-and-observe-type algorithm for MPPT in solar photovoltaic systems and evaluation of its performance against other variants by experimental validation,” Scientia Iranica D, vol. 26, no. 6, pp. 3656–3671, 2019. Available: https://doi.org/10.24200/sci.2019.54183.3635. [11] N. A. Windarko, E. N. Sholikhah, M. N. Habibi, E. Prasetyono, B. Sumantri, M. Z. Efendi, and H. Mokhlis, “Hybrid photovoltaic maximum power point tracking of Seagull optimizer and modified perturb and observe for complex partial shading,” Int. J. of Electrical and Computer Engineering, vol. 12, no. 5, pp. 4571-4585, 2022. Available: https://doi.org/10.11591/ijece.v12i5.pp4571-4585. [12] Y. Zhu, M. K. Kim and H. Wen, “Simulation and analysis of perturbation and observation-based self-adaptable step size maximum power point tracking strategy with low power loss for photovoltaics,” Energies, vol. 12, no. 1, pp. 92, 2019. Available: https://doi.org/ 10.3390/en12010092. [13] J. Sahoo, S. Samanta and S. Bhattacharyya, “Adaptive PID controller with P&O MPPT algorithm for photovoltaic system,” IETE Journal of research, vol. 66, no. 4, pp. 442–453, 2020. Available: https://doi.org/10.1080/03772063.2018.1497552. [14] J. Ahmed, Z. Salam, M. Kermadi, H. N. Afrouzi and R. H. Ashique, “A skipping adaptive P&O MPPT for fast and efficient tracking under partial shading in PV arrays,” Int. Trans. on Electrical Energy Systems, vol. 31, no. 9, pp. e13017, 2021. Available: https://doi.org/10.1002/2050-7038.13017. [15] Y. Xia, W. Wei, M. Yu and P. Wang, “Stability analysis of PV generators with consideration of P&O-based power control,” IEEE Transactions on Industrial Electronics, vol. 66, no. 8, pp. 6483–6492, 2019. Available: https://doi.org/10.1109/TIE.2018.2864695. [16] A. Chellakhi, S. E. Beid and Y. Abouelmahjoub, “An improved adaptable step-size P&O MPPT approach for standalone photovoltaic systems with battery station,” Simulation Modelling Practice and Theory, vol. 121, pp. 102655, 2022. Available: https://doi.org/10.1016/j.simpat.2022.102655. [17] M. Mohammadinodoushan, R. Abbassi, H. Jerbi, F. W. Ahmed and A. Rezvani, “A new MPPT design using variable step size perturb and observe method for PV system under partially shaded conditions by modified shuffled frog leaping algorithm-SMC controller,” Sustainable Energy Technologies and Assessments, vol. 45, pp. 101056, 2021. Available: https://doi.org/10.1016/j.seta.2021.101056. [18] R. Palanisamy, K. Vijayakumar, V. Venkatachalam, N. R. Mano, D. Saravanakumar and K. Saravanan, “Simulation of various DC-DC converters for photovoltaic system,” Int. J. of Electrical and Computer Engineering, vol. 9, no. 2, pp. 917–925, 2019. Available: https://doi.org/10.11591/ijece.v9i2.pp917-925. [19] K. Ullah, M. Ishaq, F. Tchier, H. Ahmad and Z. Ahmad, “Fuzzy-based maximum power point tracking (MPPT) control system for photovoltaic power generation system,” Results in Engineering, vol. 20, pp. 101466, 2023. Available: https://doi.org/10.1016/j.rineng.2023.101466. [20] V. Bhan, S. A. Shaikh, Z. H. Khand, T. Ahmed, L. A. Khan, F. A. Chachar and A. M. Shaikh, “Performance evaluation of perturb and observe algorithm for MPPT with buck–boost charge controller in photovoltaic systems,” Journal of Control, Automation and Electrical Systems, vol. 32, no. 6, pp. 1652–1662, 2021. Available: https://doi.org/10.1007/s40313-021-00781-2. [21] M. R. Fazal, Z. Abbas, M. Kamran, M. N. Ayya and M. Mudassar, “Modified Perturb and observe MPPT algorithm for partial shading conditions,” Int. J. Renew. Energy Res, vol. 9, no. 2, pp. 721–731, 2019. Available: https://doi.org/10.20508/ijrer.v9i2.9149.g7641.