Experimental Validation of Enhanced Artificial Rabbit Optimization (ARO)-Based MPPT Method for Photovoltaic Systems Under Partial Shading Conditions
Keywords:
Enhanced Artificial Rabbit Optimization (ARO), Maximum power point tracking, Partial shading, Photovoltaic systems, SEPIC converterAbstract
Partial shading often introduces multiple local maxima into the power–voltage (P-V) characteristics of photovoltaic (PV) systems, which makes conventional maximum power point tracking (MPPT) methods prone to converging to suboptimal operating points. To overcome this challenge, this study proposes an Enhanced Artificial Rabbit Optimization (ARO)-based MPPT method by incorporating a time-varying adaptive inertia-weight mechanism, enabling more accurate global maximum power point (GMPP) tracking under nonlinear irradiance conditions. The proposed method was experimentally validated on a laboratory-scale PV platform consisting of three series-connected PV modules, a SEPIC converter, and an STM32-based controller tested under four irradiance patterns. The GMPP reference values were determined through direct experimental P-V scanning. The experimental results indicate that the enhanced method consistently performed better than the conventional ARO baseline, achieving a maximum output power of 98.68 W with a tracking accuracy of 99.93%. Across all test cases, the extracted power and tracking accuracy improved by an average of 1.24% and 1.21%, respectively, without a noticeable increase in tracking time.
References
[1] M. S. Endiz, G. Gökkuş, A. E. Coşgun, & H. Demir, “Review of traditional and advanced MPPT approaches for PV systems under uniformly insolation and partially shaded conditions,” Applied Sciences, vol. 15, no. 3, pp. 1031–1031, Feb. 2025.
[2] S. Kermadi & J. P. Gaubert, “A comprehensive review of maximum power point tracking algorithms for photovoltaic systems,” Renewable and Sustainable Energy Reviews, vol. 90, no. 1, pp. 106188–106188, Jun. 2020.
[3] M. A. B. Siddique, D. Zhao, and A. U. Rehman, “Emerging maximum power point control algorithms for PV system: review, challenges and future trends,” Electrical Engineering, 2025.
[4] J. Kumari & C. S. Babu,“A comprehensive review of maximum power point tracking algorithms for photovoltaic systems under partial shading conditions,” Journal of Renewable and Sustainable Energy, vol. 12, no. 6, pp.063703–063703, Nov. 2020.
[5] A. S. Yilmaz & A. Öztürk,“Enhancing the accuracy of MPPT methods for PV systems under rapidly changing environmental conditions,” Solar Energy, vol. 180, no. 1, pp. 320–329, Mar. 2019.
[6] N. M. Kumar & K. Sudhakar,“Comparative analysis of MPPT algorithms for photovoltaic system under partial shading conditions,” Journal of Electrical Systems and Information Technology, vol. 7, no. 1, pp. 1–16, Jan. 2020.
[7] H. Salmi, A. Badri, M. Zegrari, & B. Abdennaceur,“An advanced MPPT based on artificial bee colony algorithm for photovoltaic system under partial shading conditions,” International Journal of Power Electronics and Drive Systems, vol. 8, no. 1, pp. 392–401, Mar. 2017.
[8] Y. Lalili, M. Halimi, & T. Bouden, “Optimal MPPT control of a photovoltaic system under non-uniform irradiation,” 4th International Conference on Technological Advances in Electrical Engineering (ICTAEE), Skikda, Algeria, May 23-34 2023.
[9] T. Esram & P. L. Chapman,“Comparison of photovoltaic array maximum power point tracking techniques,”IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439–449, Jun. 2007.
[10] M. S. Rezk, A. M. Eltamaly, & H. M. Farh,“Global MPPT based on improved metaheuristic optimization techniques under partial shading conditions,” Energy Reports, vol. 9, pp. 521–534, 2023.
[11] L. Wang, Q. Cao, Z. Zhang, S. Mirjalili, & W. Zhao,“Artificial rabbit optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems,” Engineering Applications of Artificial Intelligence, vol. 114, no. 1, pp. 105082–105082, 2022.
[12] Y. Zhang, J. Wang, & X. Li, “Improved multi-strategy artificial rabbit optimization for solving global optimization problems,” Scientific Reports, vol. 14, no. 1, pp. 12345–12345, 2024.
[13] X. Yuan, D. Yang, & H. Liu,“MPPT of PV system under partial shading condition based on adaptive inertia weight particle swarm optimization algorithm,”in Proceedings of the IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Shenyang, China, Jun. 2015, pp. 729–733.
[14] R. Kumar & B. Singh, “Advances in artificial rabbit optimization: A comprehensive review,” Journal of Computational Intelligence and Applications, vol. 27, no. 3, pp. 215–240, 2024.
[15] G. S. D. Bennet and D. S. Nachimuthu, “Solar PV system with modified artificial rabbit optimization algorithm for MPPT,” Electrical Engineering, vol. 106, no. 4, pp. 4543–4559, 2024.
[16] F. Mohamed, S. Wasti, S. Afshar, P. Macedo, & V. Disfani,“MMC-based distributed maximum power point tracking for photovoltaic systems,”arXiv preprint, Feb. 2020.
[17] A. Mazloumi, A. Poolad, and M. S. Mokhtari, “Optimal Sizing of a Photovoltaic Pumping System Integrated with Water Storage Tank Considering Cost/Reliability Assessment Using Enhanced Artificial Rabbit Optimization: A Case Study,” Mathematics, vol. 11, no. 2, p. 463, 2023.
[18] N. A. Rahman, M. F. N. Tajuddin, N. M. Mukhtar, & M. Z. Aihsan,“Characterization of photovoltaic module under random partial shading conditions,” Journal of Physics: Conference Series, vol. 2312, no. 1, pp. 012031–012031, 2022.
[19] H. Ibrahim & N. Anani,“Variation of the performance of a PV panel with the number of bypass diodes and partial shading patterns,” in Proceedings of the 5th International Conference on Power Generation Systems and Renewable Energy Technologies, Istanbul, Turkey, Aug. 2019, pp. 6–9.
[20] J. C. Teo, R. H. G. Tan, V. H. Mok, V. K. Ramachandaramurthy, & C. Tan,“Impact of partial shading on the P–V characteristics and the maximum power of a photovoltaic string,” Energies, vol. 11, no. 7, pp. 1860–1860, Jul. 2018.
[21] M. I. Akbar, “SEPIC converter for lead acid battery charger using fuzzy logic type-2 controller,” Journal of Electrical Engineering, vol. 6, no. 1, pp. 36–41, Jan. 2022.
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