Comparing MPPT Algorithms for Improved Partial-Shaded PV Power Generations
Main Article Content
Keywords
Solar energy, Partial shading, Complex partial shading, Maximum Power Point Tracking, Photovoltaic system
Abstract
olar energy, accepted as an alternative energy source, is attracting commercial interest and scholars and researchers for improving efficiency and lowering the losses within the system. One of these significant losses is due to partial and complex shading. This study concentrates on reducing losses to enhance the efficiency of solar systems. Maximum Power Point Tracking (MPTT) uses several alternative algorithms for efficient operations. We have selected four algorithms supporting MPPT, namely P&O, PSO, Adaptive cuckoo, and Dragonfly. These algorithms are applied on photovoltaic (PV) systems in four different scenarios: uniform irradiance, partial shading, complex partial shading, and multiple local maximum power points. According to this study, results show that the algorithms' performance vary significantly based on these scenarios. It has been shown that PSO has the longest tracking time compared to other but tracks the maximum power best when exposed to uniform irradiance. In contrast, DFO takes the shortest tracking time and performs best in I-V curves but do not have a maximum power point at the knee. Both adaptive cuckoo and PSO perform well in tracking the global maximum power point, particularly in partial shadings. The study provides insights into the strengths and weaknesses of each algorithm in different scenarios and can guide the selection of an appropriate algorithm for a given PV system.
References
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[3] D. W. Spier et al., "Dynamic modeling and analysis of the bidirectional DC-DC boost-buck converter for renewable energy applications," Sustainable Energy Technologies and Assessments, vol. 34, no. April, pp. 133–145, 2019, doi: 10.1016/j.seta.2019.05.002.
[4] Z. Chen, S. Member, J. M. Guerrero, S. Member, and F. Blaabjerg, "A Review of the State of the Art of Power Electronics for Wind Turbines," vol. 24, no. 8, pp. 1859–1875, 2009.
[5] H. Ritchie, P. Rosado, and M. Roser, "All our interactive charts on Fossil Fuels," pp. 1–28, 2022.
[6] Z. Li et al., “Cost Analysis of Perovskite Tandem Photovoltaics Cost Analysis of Perovskite Tandem Photovoltaics,” Joule, vol. 2, no. 8, pp. 1559–1572, doi: 10.1016/j.joule.2018.05.001.
[7] L. A. Zafoschnig, S. Nold, and J. C. Goldschmidt, "The Race for Lowest Costs of Electricity Production : Techno-Economic Analysis of Silicon , Perovskite and Tandem Solar Cells," vol. 10, no. 6, pp. 1632–1641, 2020, doi: 10.1109/JPHOTOV.2020.3024739.
[8] D. Verma, S. Nema, A. M. Shandilya, and S. K. Dash, "Maximum power point tracking ( MPPT ) techniques : Recapitulation in solar photovoltaic systems," Renewable and Sustainable Energy Reviews, vol. 54, pp. 1018–1034, 2016, doi: 10.1016/j.rser.2015.10.068.
[9] M. Muyassar, Tarmizi, and Yuwaldy Away, “A GWO-P&O Algorithm MPPT for PV Systems Under UIC and PSC,” JURNAL NASIONAL TEKNIK ELEKTRO, Nov. 2022, doi: 10.25077/jnte.v11n3.1031.2022.
[10] A. A. A. Hafez, "Multi-level cascaded DC/DC converters for PV applications," Alexandria Engineering Journal, vol. 54, no. 4, pp. 1135–1146, 2015, doi: 10.1016/j.aej.2015.09.004.
[11] P. M. Rodrigo, R. Velázquez, and E. F. Fernández, "DC/AC conversion efficiency of grid-connected photovoltaic inverters in central Mexico," Solar Energy, vol. 139, pp. 650–665, 2016, doi: 10.1016/j.solener.2016.10.042.
[12] K. S. Hayibo and J. M. Pearce, "Optimal inverter and wire selection for solar photovoltaic fencing applications," Renewable Energy Focus, vol. 42, pp. 115–128, 2022, doi: 10.1016/j.ref.2022.06.006.
[13] F. Salem and M. A. Awadallah, "Detection and assessment of partial shading in photovoltaic arrays," Journal of Electrical Systems and Information Technology, vol. 3, no. 1, pp. 23–32, 2016, doi: 10.1016/j.jesit.2015.10.003.
[14] A. Chaudhary, S. Gupta, D. Pande, F. Mahfooz, and G. Varshney, "Effect of Partial Shading on Characteristics of PV panel using Simscape Effect of Partial Shading on Characteristics of PV panel using Simscape Amardeep Chaudhary *, Shriya Gupta **, Dhriti Pande **, Fazal Mahfooz **, Gunjan Varshney **," Int. Journal of Engineering Research and Applications, vol. 5, no. 10/2, pp. 85–89, 2015.
[15] J. Ahmed and Z. Salam, "An Accurate Method for MPPT to Detect the Partial Shading Occurrence in a PV System," IEEE Trans Industr Inform, vol. 13, no. 5, pp. 2151–2161, 2017, doi: 10.1109/TII.2017.2703079.
[16] Moh. Z. Efendi, M. R. Dwirantono, S. Suhariningsih, and L. Raharja, “Performance Comparison of Maximum Power Point Tracking Method of Human Psychology Optimization (HPO), Artificial Bee Colony (ABC) and Fuzzy Logic Controller (FLC) on Flyback Converter Under Partial Shading Condition,” JURNAL NASIONAL TEKNIK ELEKTRO, Jul. 2023, doi: 10.25077/jnte.v12n2.1022.2023.
[17] M. Mansoor, A. F. Mirza, Q. Ling, and M. Y. Javed, "Novel Grass Hopper optimization based MPPT of PV systems for complex partial shading conditions," Solar Energy, vol. 198, no. January, pp. 499–518, 2020, doi: 10.1016/j.solener.2020.01.070.
[18] V. T. Buyukdegirmenci, A. M. Bazzi, and P. T. Krein, "A Comparative Study of an Exponential Adaptive Perturb and Observe Algorithm and Ripple Correlation Control for Real-Time Optimization," 2010 IEEE 12th Workshop on Control and Modeling for Power Electronics (COMPEL), no. 1, pp. 1–8, doi: 10.1109/COMPEL.2010.5562432.
[19] M. Kumar, R. Bharti, and D. V. S. K. R. K, "Conventional and Hybrid Perturb & Observe based Maximum Power Point Tracking for Solar System," 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), no. I, pp. 1–5, 2019.
[20] M. Hanindia, P. Swari, I. P. S. Handika, I. K. S. Satwika, and H. E. Wahani, "Optimization of Single Exponential Smoothing using Particle Swarm Optimization and Modified Particle Swarm Optimization in Sales Forecast," 2022 IEEE 8th Information Technology International Seminar (ITIS), pp. 292–296, 2022, doi: 10.1109/ITIS57155.2022.10010034.
[21] S. Mohsen, S. Zahra, M. Golroodbari, S. Mina, M. Golroodbari, and S. Mekhilef, "Electrical Power and Energy Systems An improved particle swarm optimization based maximum power point tracking strategy with variable sampling time," International Journal of Electrical Power and Energy Systems, vol. 64, pp. 761–770, 2015, doi: 10.1016/j.ijepes.2014.07.074.
[22] M. Kermadi, S. Member, Z. Salam, J. Ahmed, and E. M. Berkouk, "An Effective Hybrid Maximum Power Point Tracker of Photovoltaic Arrays for Complex," IEEE Transactions on Industrial Electronics, vol. 66, no. 9, pp. 6990–7000, 2019, doi: 10.1109/TIE.2018.2877202.
[23] J. Bai, Y. Cao, Y. Hao, Z. Zhang, S. Liu, and F. Cao, "ScienceDirect Characteristic output of PV systems under partial shading or mismatch conditions," Solar Energy, vol. 112, pp. 41–54, 2015, doi: 10.1016/j.solener.2014.09.048.
[24] A. Refaat, M. Elgamal, and N. V Korovkin, "A Novel Photovoltaic Current Collector Optimizer to Extract Maximum Power during Partial Shading or Mismatch Conditions," 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), pp. 407–412, 2019.
[25] T. R. Wellawatta and S. J. Choi, "Adaptive partial shading determinant algorithm for solar array systems," Journal of Power Electronics, vol. 19, no. 6, pp. 1566–1574, 2019, doi: 10.6113/JPE.2019.19.6.1566.
[26] L. Gao et al., "A novel global MPPT technique using improved PS-FW algorithm for PV system under partial shading conditions," Energy Convers Manag, vol. 246, no. April, p. 114639, 2021, doi: 10.1016/j.enconman.2021.114639.
[27] M. I. Mosaad, M. Osama, M. A. Al-ahmar, M. Osama, and M. A. Al-ahmar, "ScienceDirect ScienceDirect Maximum Power Point Tracking of PV system Based Cuckoo Maximum Power Point Tracking of PV system Based Cuckoo Search Algorithm ; review and comparison Search Algorithm ; review and comparison Assessing the feasibility of using the heat demand-outdoor temperature function for a long-term district heat demand forecast," Energy Procedia, vol. 162, pp. 117–126, 2019, doi: 10.1016/j.egypro.2019.04.013.
[28] N. Science, C. Phenomena, S. Walton, O. Hassan, K. Morgan, and M. R. Brown, "Chaos , Solitons & Fractals Modified cuckoo search : A new gradient free optimisation algorithm," Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, vol. 44, no. 9, pp. 710–718, 2011, doi: 10.1016/j.chaos.2011.06.004.
[29] E. Lodhi et al., "Dragonfly Optimization-based MPPT Algorithm for Standalone PV System under Partial Shading," 2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT), pp. 277–283, 2021, doi: 10.1109/ICESIT53460.2021.9697000.
[30] Y. Meraihi, A. R. Dalila, and A. Mohammed, "Dragonfly algorithm : a comprehensive review and applications," Neural Comput Appl, vol. 32, no. 21, pp. 16625–16646, 2020, doi: 10.1007/s00521-020-04866-y.
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Published
Dec 22, 2023
Article Details
How to Cite
Basalamah, A., Pakka, H., Eren, H. ., Alghamdi , A. S., Syarifuddin, A., Kamil, K., Salmiah, & Hartono, S. Y. (2023). Comparing MPPT Algorithms for Improved Partial-Shaded PV Power Generations. Jurnal Nasional Teknik Elektro, 12(3), 73–81. https://doi.org/10.25077/jnte.v12n3.1134.2023
Section
Electrical Power and Energy
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