Performance optimization of photovoltaic system under real climatic conditions using a novel MPPT approach

References

• Abouobaida, H., Y. Mchaouar, Y. Abouelmahjoub, H. Mahmoudi, A. Abbou, and M. Jamil. 2023. Performance optimization of the INC-COND fuzzy MPPT based on a variable step for photovoltaic systems. Optik (Stuttg) 278 (January):170657. doi:10.1016/j.ijleo.2023.170657.
   Google Scholar
• Ahmed, J., and Z. Salam. 2015. An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency. Applied Energy 150:97–108. doi:10.1016/j.apenergy.2015.04.006.
   Web of Science ®Google Scholar
• Aldair, A. A., A. A. Obed, and A. F. Halihal. 2018. Design and implementation of ANFIS-reference model controller based MPPT using FPGA for photovoltaic system. Renewable and Sustainable Energy Reviews 82 (July):2202–17. doi:10.1016/j.rser.2017.08.071.
   Google Scholar
• Ali, A. I. M., and H. R. A. Mohamed. 2022. Improved P&O MPPT algorithm with efficient open-circuit voltage estimation for two-stage grid-integrated PV system under realistic solar radiation. International Journal of Electrical Power & Energy Systems 137 (October):107805. doi:10.1016/j.ijepes.2021.107805.
   Google Scholar
• Arsalan, M., R. Iftikhar, I. Ahmad, A. Hasan, K. Sabahat, and A. Javeria. 2018. MPPT for photovoltaic system using nonlinear backstepping controller with integral action. Solar Energy 170 (April):192–200. doi:10.1016/j.solener.2018.04.061.
   Google Scholar
• Balachandran, K., and K. Ramasamy. 2022. “Maximum power point tracking based on self-adaptive neural network combined with incremental conductance,” energy sources, part a recover. Energy Sources Part A: Recovery, Utilization, and Environmental Effects 44 (3):7895–913. doi:10.1080/15567036.2022.2115168.
   Web of Science ®Google Scholar
• Belhimer, S., M. Haddadi, and A. Mellit. 2018. A novel hybrid boost converter with extended duty cycles range for tracking the maximum power point in photovoltaic system applications. International Journal of Hydrogen Energy 43 (14):6887–98. doi:10.1016/j.ijhydene.2018.02.136.
   Web of Science ®Google Scholar
• Bisht, R., and A. Sikander. 2022. An improved method based on fuzzy logic with beta parameter for PV MPPT system. Optik (Stuttg) 259 (April):168939. doi:10.1016/j.ijleo.2022.168939.
   Google Scholar
• Bouarroudj, N., B. Benlahbib, M. Sedraoui, V. Feliu-Batlle, M. Bechouat, D. Boukhetala, and F. Boudjema. 2022. A new tuning rule for stabilized integrator controller to enhance the indirect control of incremental conductance MPPT algorithm: Simulation and practical implementation. Optik (Stuttg) 268 (July):169728. doi:10.1016/j.ijleo.2022.169728.
   Google Scholar
• Chellakhi, A., S. El Beid, and Y. Abouelmahjoub. 2022. An innovative fast-converging speed MPPT approach without oscillation for temperature varying in photovoltaic systems applications. Energy Sources Part A: Recovery, Utilization, and Environmental Effects 44 (2):2674–96. doi:10.1080/15567036.2022.2058121.
   Web of Science ®Google Scholar
• Cikan, M., and K. Dogansahin. 2023. A comprehensive evaluation of up-to-date optimization algorithms on MPPT application for photovoltaic systems. Energy Sources Part A: Recovery, Utilization, and Environmental Effects 45 (4):10381–407. doi:10.1080/15567036.2023.2245771.
   Web of Science ®Google Scholar
• El Masry, M. Z., A. Mohammed, F. Amer, and R. Mubarak. 2023. New hybrid MPPT technique including artificial intelligence and traditional techniques for extracting the global maximum power from partially shaded PV systems. Sustainability 15 (14):10884. doi:10.3390/su151410884.
   Web of Science ®Google Scholar
• Gilberto Lopes Filho, R. A. P. F., F. H. T. Vieira, and F. H. T. Vieira. 2021. Maximum power point tracking for photovoltaic panels using model predictive control and incremental conductance. Electric Power Components & Systems 49 (4–5):345–60. doi:10.1080/15325008.2021.1970057.
   Web of Science ®Google Scholar
• Harrison, A., N. H. Alombah, J. de Dieu Nguimfack Ndongmo, and A. Álvarez-Gallegos. 2023. A new hybrid MPPT based on incremental conductance-integral backstepping controller applied to a PV system under fast-changing operating conditions. International Journal of Photoenergy 2023:1–17. doi:10.1155/2023/9931481.
   Web of Science ®Google Scholar
• Hassan, A., O. Bass, and M. A. S. Masoum. 2023. An improved genetic algorithm based fractional open circuit voltage MPPT for solar PV systems. Energy Reports 9:1535–48. doi:10.1016/j.egyr.2022.12.088.
   Web of Science ®Google Scholar
• Ibrahim, A. W., M. B. Shafik, M. Ding, M. A. Sarhan, Z. Fang, A. G. Alareqi, T. Almoqri, and A. M. Al-Rassas. 2020. PV maximum power-point tracking using modified particle swarm optimization under partial shading conditions. Chinese Journal of Electrical Engineering 6 (4):106–21. doi:10.23919/CJEE.2020.000035.
   Google Scholar
• Iftikhar, R., I. Ahmad, M. Arsalan, N. Naz, N. Ali, and H. Armghan. 2018. MPPT for photovoltaic system using nonlinear controller. International Journal of Photoenergy 2018:1–11. doi:10.1155/2018/6979723.
   Web of Science ®Google Scholar
• Jately, V., B. Azzopardi, J. Joshi, B. Venkateswaran, V. A. Sharma, and S. Arora. 2021. Experimental analysis of hill-climbing MPPT algorithms under low irradiance levels. Renewable and Sustainable Energy Reviews 150:111467. doi:10.1016/j.rser.2021.111467.
   Web of Science ®Google Scholar
• Joisher, M., D. Singh, S. Taheri, D. R. Espinoza-Trejo, E. Pouresmaeil, and H. Taheri. 2020. A hybrid evolutionary-based MPPT for photovoltaic systems under partial shading conditions. Institute of Electrical and Electronics Engineers Access 8:38481–92. doi:10.1109/ACCESS.2020.2975742.
   Google Scholar
• Khan, I., and S. Khan. 2021. Thermal imaging based maximum power point tracking for solar modules in variable ambient temperature. SN Applied Sciences 3 (5). doi: 10.1007/s42452-021-04529-0.
   PubMed Web of Science ®Google Scholar
• Kumar, G. G. S., and S. Titus. 2023. Hybrid artificial rabbit optimization and perturb\& observe MPPT for grid-connected PV system. Electric Power Components & Systems 1–22. doi:10.1080/15325008.2023.2249885.
   Web of Science ®Google Scholar
• Manna, S., A. K. Akella, and D. K. Singh. 2023. Implementation of a novel robust model reference adaptive controller-based MPPT for stand-alone and grid-connected photovoltaic system. Energy Sources Part A: Recovery, Utilization, and Environmental Effects 45 (1):1321–45. doi:10.1080/15567036.2023.2178550.
   Web of Science ®Google Scholar
• Messalti, S., A. Harrag, and A. Loukriz. 2017. A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation. Renewable and Sustainable Energy Reviews 68:221–33. doi:10.1016/j.rser.2016.09.131.
   Web of Science ®Google Scholar
• Mohammad Chamanpira Mehrdad Ghahremani, S. D. M. K. A. R., and K. Wakil. 2021. A novel MPPT technique to increase accuracy in photovoltaic systems under variable atmospheric conditions using fuzzy gain scheduling. Energy Sources Part A: Recovery, Utilization, and Environmental Effects 43 (22):2960–82. doi:10.1080/15567036.2019.1676325.
   Web of Science ®Google Scholar
• Mohammadinodoushan, M., R. Abbassi, H. Jerbi, F. Waly Ahmed, H. Abdalqadirkh Ahmed, and A. Rezvani. 2021. 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 45 (October):101056. doi:10.1016/j.seta.2021.101056.
   Google Scholar
• Muhammad Abu Bakar Siddique Adeel Asad, R. M. A. A. U. R. M. T. S., and I. Ullah. 2023. Implementation of incremental conductance MPPT algorithm with integral regulator by using boost converter in grid-connected PV array. IETE Journal of Research 69 (6):3822–35. doi:10.1080/03772063.2021.1920481.
   Web of Science ®Google Scholar
• Naghmash, H. A., A. Ahmad, I. Armghan, M. Khan, and S. Arsalan. 2018. Backstepping based non-linear control for maximum power point tracking in photovoltaic system. Solar Energy 159 (October):134–41. doi:10.1016/j.solener.2017.10.062.
   Google Scholar
• Ozdemir, S., N. Altin, and I. Sefa. 2017. Fuzzy logic based MPPT controller for high conversion ratio quadratic boost converter. International Journal of Hydrogen Energy 42 (28):17748–59. doi:10.1016/j.ijhydene.2017.02.191.
   Web of Science ®Google Scholar
• Priyadarshi, N., S. Padmanaban, J. B. Holm-Nielsen, F. Blaabjerg, and M. S. Bhaskar. 2020. An experimental estimation of hybrid ANFIS-PSO-Based MPPT for PV grid integration under fluctuating sun irradiance. IEEE Systems Journal 14 (1):1218–29. doi:10.1109/JSYST.2019.2949083.
   Web of Science ®Google Scholar
• Qureshi, M. A., F. Torelli, S. Musumeci, A. Reatti, A. Mazza, and G. Chicco. 2023. A novel adaptive control approach for maximum power-point tracking in photovoltaic systems. Energies 16 (6):1–18. doi:10.3390/en16062782.
   Web of Science ®Google Scholar
• Ratnakar Babu Bollipo, S. M., and P. K. Bonthagorla. 2023. Application of radial basis neural network in MPPT technique for stand-alone PV system under partial shading conditions. IETE Journal of Research 69 (9):6409–30. doi:10.1080/03772063.2021.1988874.
   Google Scholar
• Refaat, A., A. E. Khalifa, M. M. Elsakka, Y. Elhenawy, A. Kalas, and M. H. Elfar. 2023. A novel metaheuristic MPPT technique based on enhanced autonomous group particle swarm optimization algorithm to track the GMPP under partial shading conditions - experimental validation. Energy Conversion and Management 287 (April):117124. doi:10.1016/j.enconman.2023.117124.
   Google Scholar
• Saad Motahhir. 2021. Contribution to the optimization of energy withdrawn from a PV panel using an embedded system. SSRN Electronic Journal (November). doi:10.2139/ssrn.3804081.
   Google Scholar
• Sahoo, J., S. Samanta, and S. Bhattacharyya. 2020. Adaptive PID Controller with P&O MPPT algorithm for photovoltaic system. IETE Journal of Research 66 (4):442–53. doi:10.1080/03772063.2018.1497552.
   Web of Science ®Google Scholar
• Singh, O., A. Ghosh, and A. K. Ray. 2023. Estimation of parameters of one-diode and two-diode photovoltaic models: A chaotic gravitational search algorithm based approach. Energy Sources Part A: Recovery, Utilization, and Environmental Effects 45 (2):5938–56. doi:10.1080/15567036.2023.2211032.
   Web of Science ®Google Scholar
• Villalva, M. G., J. R. Gazoli, and E. R. Filho. 2009. Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Transactions on Power Electronics 24 (5):1198–208. doi:10.1109/TPEL.2009.2013862.
   Web of Science ®Google Scholar
• Wang, Y., Y. Yang, G. Fang, B. Zhang, H. Wen, H. Tang, L. Fu, and X. Chen. 2018. An advanced maximum power point tracking method for photovoltaic systems by using variable universe fuzzy logic control considering temperature variability. Electronics 7 (12):355. doi:10.3390/electronics7120355.
   Web of Science ®Google Scholar
• Yilmaz, M., R. Celikel, and A. Gundogdu. 2023a. Enhanced photovoltaic systems performance: Anti-Windup PI controller in ANN-Based ARV MPPT method. Institute of Electrical and Electronics Engineers Access 11 (August):90498–509. doi:10.1109/ACCESS.2023.3290316.
   Google Scholar
• Yilmaz, M., R. Celikel, and A. Gundogdu. 2023b. Enhanced photovoltaic systems performance: Anti-Windup PI controller in ANN-Based ARV MPPT method. Institute of Electrical and Electronics Engineers Access 11 (June):90498–509. doi:10.1109/ACCESS.2023.3290316.
   Google Scholar
• Zhang, N., D. Sutanto, K. M. Muttaqi, B. Zhang, and D. Qiu. 2015. High-voltage-gain quadratic boost converter with voltage multiplier. IET Power Electronics 8 (12):2511–19. doi:10.1049/iet-pel.2014.0767.
   Web of Science ®Google Scholar