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A Novel MPPT Design for a Partially Shaded PV System Using Spotted Hyena Optimization Algorithm

Authors

  • B. Korich LAADI Laboratory, Department of Sciences and Technology Ziane Achour University of Djelfa, Algeria
  • A. Benaissa LAADI Laboratory, Department of Sciences and Technology Ziane Achour University of Djelfa, Algeria
  • B. Rabhi LMSE Laboratory, Department of Sciences and Technology, University of Biskra, Algeria
  • D. Bakria LAADI Laboratory, Department of Sciences and Technology Ziane Achour University of Djelfa, Algeria
Volume: 11 | Issue: 6 | Pages: 7776-7781 | December 2021 | https://doi.org/10.48084/etasr.4490

Abstract

Partial shading is a common problem in photovoltaic (PV) systems, known for its difficulty. Numerous attempts have been conducted to mitigate this problem. Some of these efforts deploy metaheuristic optimization with a view to tracking the multiple-peak P–V curve in a partial shading PV system. Hence, this paper proposes a novel metaheuristic algorithm to track the maximum power point of PV systems using the Spotted Hyena Optimization (SHO) algorithm. When evaluated, the SHO algorithm proved to be very fast, robust, and accurate in standard conditions, Partial Shading Conditions (PSCs), and irradiance variations. Also, the results reveal a remarkable improvement in the performance when we compare the SHO algorithm with the Grey Wolf Optimization (GWO) algorithm and the Perturb and Observe (P&O) algorithm.

Keywords:

photovoltaic system, maximum power point tracking, partial shading condition, SHO optimization

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References

H. Yatimi and E. Aroudam, "Assessment and control of a photovoltaic energy storage system based on the robust sliding mode MPPT controller," Solar Energy, vol. 139, pp. 557–568, Dec. 2016, https://doi.org/10.1016/j.solener.2016.10.038.

R. Aghaie and M. Farshad, "Maximum Power Point Tracker for Photovoltaic Systems Based on Moth-Flame Optimization Considering Partial Shading Conditions," Journal of Operation and Automation in Power Engineering, vol. 7, no. 2, pp. 176–186, Oct. 2019, https://doi.org/10.22098/joape.2019.5360.1401.

S. Saad, "Enhancement of Solar Cell Modeling with MPPT Command Practice with an Electronic Edge Filter," Engineering, Technology & Applied Science Research, vol. 11, no. 4, pp. 7501–7507, Aug. 2021, https://doi.org/10.48084/etasr.4304.

A. Ghelam, M. Boudiaf, and Y. Derouiche, "Correction of the Photovoltaic System Control by the Addition of a Voltage Regulator in the Electrical Conversion Chain," Majlesi Journal of Electrical Engineering, vol. 14, no. 3, pp. 45–52, Sep. 2020, https://doi.org/10.29252/mjee.14.3.5.

P. Lei, Y. Li, and J. E. Seem, "Sequential ESC-Based Global MPPT Control for Photovoltaic Array With Variable Shading," IEEE Transactions on Sustainable Energy, vol. 2, no. 3, pp. 348–358, Jul. 2011, https://doi.org/10.1109/TSTE.2011.2141692.

D. A. Nugraha, K. L. Lian, and Suwarno, "A Novel MPPT Method Based on Cuckoo Search Algorithm and Golden Section Search Algorithm for Partially Shaded PV System," Canadian Journal of Electrical and Computer Engineering, vol. 42, no. 3, pp. 173–182, 2019, https://doi.org/10.1109/CJECE.2019.2914723.

P. S. Gavhane, S. Krishnamurthy, R. Dixit, J. P. Ram, and N. Rajasekar, "EL-PSO based MPPT for Solar PV under Partial Shaded Condition," Energy Procedia, vol. 117, pp. 1047–1053, Jun. 2017, https://doi.org/10.1016/j.egypro.2017.05.227.

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, Jul. 2017, https://doi.org/10.1016/j.rser.2017.02.051.

L. L. Jiang, R. Srivatsan, and D. L. Maskell, "Computational intelligence techniques for maximum power point tracking in PV systems: A review," Renewable and Sustainable Energy Reviews, vol. 85, pp. 14–45, Apr. 2018, https://doi.org/10.1016/j.rser.2018.01.006.

H. Jia, J. Li, W. Song, X. Peng, C. Lang, and Y. Li, "Spotted Hyena Optimization Algorithm With Simulated Annealing for Feature Selection," IEEE Access, vol. 7, pp. 71943–71962, 2019, https://doi.org/10.1109/ACCESS.2019.2919991.

G. Dhiman and A. Kaur, "Spotted Hyena Optimizer for Solving Engineering Design Problems," in 2017 International Conference on Machine Learning and Data Science (MLDS), Noida, India, Dec. 2017, pp. 114–119, https://doi.org/10.1109/MLDS.2017.5.

G. Dhiman and V. Kumar, "Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications," Advances in Engineering Software, vol. 114, pp. 48–70, Dec. 2017, https://doi.org/10.1016/j.advengsoft.2017.05.014.

A. A. Djalab, M. M. Rezaoui, L. Mazouz, A. Teta, and N. Sabri, "Robust Method for Diagnosis and Detection of Faults in Photovoltaic Systems Using Artificial Neural Networks," Periodica Polytechnica Electrical Engineering and Computer Science, vol. 64, no. 3, pp. 291–302, Mar. 2020, https://doi.org/10.3311/PPee.14828.

S. Hota, M. K. Sahu, and J. M. R. Malla, "A Standalone PV System with a Hybrid P&O MPPT Optimization Technique," Engineering, Technology & Applied Science Research, vol. 7, no. 6, pp. 2109–2112, Dec. 2017, https://doi.org/10.48084/etasr.1374.

"KC200GT High Efficiency Multi-Crystal Photovoltaic Module Datasheet." Kyocera, 2011.

S. Latreche, A. E. Badoud, and M. Khemliche, "Implementation of MPPT Algorithm and Supervision of Shading on Photovoltaic Module," Engineering, Technology & Applied Science Research, vol. 8, no. 6, pp. 3541–3544, Dec. 2018, https://doi.org/10.48084/etasr.2354.

S. Mirjalili, S. M. Mirjalili, and A. Lewis, "Grey Wolf Optimizer," Advances in Engineering Software, vol. 69, pp. 46–61, Mar. 2014, https://doi.org/10.1016/j.advengsoft.2013.12.007.

S. Mohanty, B. Subudhi, and P. K. Ray, "A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions," IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 181–188, Jan. 2016, https://doi.org/10.1109/TSTE.2015.2482120.

M. Valan Rajkumar, M. Mahakumar, M. Manojkumar, M. Hemaraj, and E. Kumaravel, "A New DC-DC Converter Topology with Grey Wolf MPPT Algorithm for Photovoltaic System," International Journal of Emerging Technologies in Engineering Research, vol. 5, no. 4, pp. 54–59, Apr. 2017.

G. Dhiman and V. Kumar, "Spotted Hyena Optimizer for Solving Complex and Non-linear Constrained Engineering Problems," in Harmony Search and Nature Inspired Optimization Algorithms, Singapore, 2019, pp. 857–867, https://doi.org/10.1007/978-981-13-0761-4_81.

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How to Cite

[1]
B. Korich, A. Benaissa, B. Rabhi, and D. Bakria, “A Novel MPPT Design for a Partially Shaded PV System Using Spotted Hyena Optimization Algorithm”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 6, pp. 7776–7781, Dec. 2021.

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