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PERFORMANCE ANALYSIS OF P&O AND PSO MPPT ALGORITHMS FOR PV SYSTEMS UNDER PARTIAL SHADING

Year 2024, Volume: 12 Issue: 1, 84 - 99, 01.03.2024
https://doi.org/10.36306/konjes.1359177

Abstract

Photovoltaic (PV) modules are devices that transform photon energy into electrical energy. The output power of the PV modules is influenced by the intensity of solar radiation and the ambient temperature. Non-uniform shading can cause variations in the extent of sunlight absorbed by PV modules, resulting in a decrease in power output. Maximum power point tracking (MPPT) techniques are employed to optimize the power output of PV modules by operating them at their maximum power point (MPP). The main objective of the study is to investigate the performance analysis of Perturb and Observe (P&O) and Particle Swarm Optimization (PSO) MPPT strategies in uniform and partially shaded conditions with equally and unequally different irradiance differences. Simulation studies were conducted on the PV circuit model using Matlab/Simulink, and the results were evaluated. MPPT algorithms are compared based on their tracking efficiency and convergence speed when solar radiation conditions vary. The findings of the simulation indicate that the P&O is unable to determine global MPP and gets trapped in one of the local MPPs. However, the PSO is very effective in tracking MPP under different partial shading patterns with more than 96% tracking efficiency. In the first partial shading configuration where the sunlight intensity of the PV modules is uniformly distributed, the PSO technique has reduced steady-state oscillations around the MPP. However, the P&O technique demonstrates superior response time and convergence speed in comparison to the PSO technique.

References

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  • H. El Hammedi, J. Chrouta, H. Khaterchi, and A. Zaafouri, "Comparative study of MPPT algorithms: P&O, INC, and PSO for PV system optimization," in 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023: IEEE, pp. 2683-2688.
  • A. M. Humada, M. Hojabri, S. Mekhilef, and H. M. Hamada, "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, vol. 56, pp. 494-509, 2016.
  • D. Sera, L. Mathe, T. Kerekes, S. V. Spataru, and R. Teodorescu, "On the perturb-and-observe and incremental conductance MPPT methods for PV systems," IEEE journal of photovoltaics, vol. 3, no. 3, pp. 1070-1078, 2013.
  • J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceedings of ICNN'95-international conference on neural networks, 1995, vol. 4: IEEE, pp. 1942-1948.
  • A. Khare and S. Rangnekar, "A review of particle swarm optimization and its applications in solar photovoltaic system," Applied Soft Computing, vol. 13, no. 5, pp. 2997-3006, 2013.
  • K. V. G. Raghavendra et al., "A comprehensive review of DC–DC converter topologies and modulation strategies with recent advances in solar photovoltaic systems," Electronics, vol. 9, no. 1, p. 31, 2019.
  • R. B. Gonzatti, Y. Li, M. Amirabadi, B. Lehman, and F. Z. Peng, "An overview of converter topologies and their derivations and interrelationships," IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 6, pp. 6417-6429, 2022.
  • R. Ayop and C. W. Tan, "Design of boost converter based on maximum power point resistance for photovoltaic applications," Solar energy, vol. 160, pp. 322-335, 2018.
  • H. Tarzamni, H. S. Gohari, M. Sabahi, and J. Kyyrä, "Non-isolated high step-up dc-dc converters: comparative review and metrics applicability," IEEE Transactions on Power Electronics, 2023.
Year 2024, Volume: 12 Issue: 1, 84 - 99, 01.03.2024
https://doi.org/10.36306/konjes.1359177

Abstract

References

  • X. Zheng, D. Streimikiene, T. Balezentis, A. Mardani, F. Cavallaro, and H. Liao, "A review of greenhouse gas emission profiles, dynamics, and climate change mitigation efforts across the key climate change players," Journal of Cleaner Production, vol. 234, pp. 1113-1133, 2019.
  • A. Qazi et al., "Towards sustainable energy: a systematic review of renewable energy sources, technologies, and public opinions," IEEE access, vol. 7, pp. 63837-63851, 2019.
  • S. R. Sinsel, R. L. Riemke, and V. H. Hoffmann, "Challenges and solution technologies for the integration of variable renewable energy sources—a review," renewable energy, vol. 145, pp. 2271-2285, 2020.
  • C. Gao and H. Chen, "Electricity from renewable energy resources: Sustainable energy transition and emissions for developed economies," Utilities Policy, vol. 82, p. 101543, 2023.
  • E. Kabir, P. Kumar, S. Kumar, A. A. Adelodun, and K.-H. Kim, "Solar energy: Potential and future prospects," Renewable and Sustainable Energy Reviews, vol. 82, pp. 894-900, 2018.
  • B. Parida, S. Iniyan, and R. Goic, "A review of solar photovoltaic technologies," Renewable and sustainable energy reviews, vol. 15, no. 3, pp. 1625-1636, 2011.
  • N. Sharma and V. Puri, "Solar energy fundamental methodologies and its economics: A review," IETE Journal of Research, vol. 69, no. 1, pp. 378-403, 2023.
  • A. Karafil, H. Ozbay, and M. Kesler, "Temperature and solar radiation effects on photovoltaic panel power," Journal of New Results in Science, vol. 5, pp. 48-58, 2016.
  • S. Motahhir, A. El Hammoumi, and A. El Ghzizal, "The most used MPPT algorithms: Review and the suitable low-cost embedded board for each algorithm," Journal of cleaner production, vol. 246, p. 118983, 2020.
  • N. Karami, N. Moubayed, and R. Outbib, "General review and classification of different MPPT Techniques," Renewable and Sustainable Energy Reviews, vol. 68, pp. 1-18, 2017.
  • F. A. Omar, G. Gökkuş, and A. A. KULAKSIZ, "ŞEBEKEDEN BAĞIMSIZ FV SİSTEMDE MAKSİMUM GÜÇ NOKTASI TAKİP ALGORİTMALARININ DEĞİŞKEN HAVA ŞARTLARI ALTINDA KARŞILAŞTIRMALI ANALİZİ," Konya Journal of Engineering Sciences, vol. 7, no. 3, pp. 585-594, 2019.
  • Z. Salam, J. Ahmed, and B. S. Merugu, "The application of soft computing methods for MPPT of PV system: A technological and status review," Applied energy, vol. 107, pp. 135-148, 2013.
  • H. Rezk, A. Fathy, and A. Y. Abdelaziz, "A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions," Renewable and Sustainable Energy Reviews, vol. 74, pp. 377-386, 2017.
  • S. Figueiredo and R. N. A. L. e Silva, "Hybrid mppt technique pso-p&o applied to photovoltaic systems under uniform and partial shading conditions," IEEE Latin America Transactions, vol. 19, no. 10, pp. 1610-1617, 2021.
  • S. Makhloufi and S. Mekhilef, "Logarithmic PSO-based global/local maximum power point tracker for partially shaded photovoltaic systems," IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 1, pp. 375-386, 2021.
  • O. M. Elbadri, K. M. Mohammed, and Z. I. Saad, "Comparison of P&O and PSO Algorithms using Matlab/Simulink," in The 7th International Conference on Engineering & MIS 2021, 2021, pp. 1-7.
  • H. El Hammedi, J. Chrouta, H. Khaterchi, and A. Zaafouri, "Comparative study of MPPT algorithms: P&O, INC, and PSO for PV system optimization," in 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), 2023: IEEE, pp. 2683-2688.
  • A. M. Humada, M. Hojabri, S. Mekhilef, and H. M. Hamada, "Solar cell parameters extraction based on single and double-diode models: A review," Renewable and Sustainable Energy Reviews, vol. 56, pp. 494-509, 2016.
  • D. Sera, L. Mathe, T. Kerekes, S. V. Spataru, and R. Teodorescu, "On the perturb-and-observe and incremental conductance MPPT methods for PV systems," IEEE journal of photovoltaics, vol. 3, no. 3, pp. 1070-1078, 2013.
  • J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceedings of ICNN'95-international conference on neural networks, 1995, vol. 4: IEEE, pp. 1942-1948.
  • A. Khare and S. Rangnekar, "A review of particle swarm optimization and its applications in solar photovoltaic system," Applied Soft Computing, vol. 13, no. 5, pp. 2997-3006, 2013.
  • K. V. G. Raghavendra et al., "A comprehensive review of DC–DC converter topologies and modulation strategies with recent advances in solar photovoltaic systems," Electronics, vol. 9, no. 1, p. 31, 2019.
  • R. B. Gonzatti, Y. Li, M. Amirabadi, B. Lehman, and F. Z. Peng, "An overview of converter topologies and their derivations and interrelationships," IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 10, no. 6, pp. 6417-6429, 2022.
  • R. Ayop and C. W. Tan, "Design of boost converter based on maximum power point resistance for photovoltaic applications," Solar energy, vol. 160, pp. 322-335, 2018.
  • H. Tarzamni, H. S. Gohari, M. Sabahi, and J. Kyyrä, "Non-isolated high step-up dc-dc converters: comparative review and metrics applicability," IEEE Transactions on Power Electronics, 2023.
There are 25 citations in total.

Details

Primary Language English
Subjects Photovoltaic Power Systems
Journal Section Research Article
Authors

Mustafa Sacid Endiz 0000-0003-3325-5109

Publication Date March 1, 2024
Submission Date September 12, 2023
Acceptance Date December 22, 2023
Published in Issue Year 2024 Volume: 12 Issue: 1

Cite

IEEE M. S. Endiz, “PERFORMANCE ANALYSIS OF P&O AND PSO MPPT ALGORITHMS FOR PV SYSTEMS UNDER PARTIAL SHADING”, KONJES, vol. 12, no. 1, pp. 84–99, 2024, doi: 10.36306/konjes.1359177.