Application of Grey Wolf Optimization Algorithm for Maximum Power Point Tracking of Solar Panels

Fethi Khelaifa, Kheireddine Lamamra, Djaafar Toumi

Abstract


One of the applications of evolutionary algorithms is increasing the efficiency of photovoltaic (PV) systems. The main problem with using standard algorithms like the Incremental Conductance (IC) controller for maximum power point tracking (MPPT) under partial shading conditions (PSC) is that they do not provide reliable tracking of the global peak of the volt-watt characteristic, leading to increased losses and reduced power plant performance. Furthermore, there is currently no methodology for selecting the optimal sampling time of soft computing algorithm-based maximum power trackers for PV systems. The aim of this paper is to apply the Grey Wolf technique with optimally selected sampling time, which will result in fast and reliable tracking of the global maximum point of the PV panels. The results show that the selected optimal sampling time for the digital MPP controllers can increase the performance and efficiency of MPPT controllers. A DC-DC boost converter is used to match the PV panels with the resistive load. Several simulations were performed using MATLAB/Simulink to examine the performance of the proposed system. The results demonstrate that the proposed Grey Wolf algorithm can quickly capture the GMPP within 0.2 seconds under different shading conditions of the PV panels.

Keywords


MPPT, partial l shading, tracking time, grew wolf optimization, Dc-DC converter

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References


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A. Boukadoum, A. Bouguerne, and T. Bahi, “Performances improvement of Shunt active power filter with voltage sensor failure,” International Journal of Energetica, vol. 8, no. 1, pp. 38-43, 2023. doi: http://dx.doi.org/10.47238/ijeca.v5i2.129

M. Prauzek, J. Konecny, M. Borova, K. Janosova, J. Hlavica, and P. Musilek, "Energy harvesting sources, storage devices and system topologies for environmental wireless sensor networks: A review," Sensors, vol. 18, pp. 2446, 2018.

I. Kashif and Z. Salam, "A comprehensive MATLAB Simulink PV system simulator with partial shading capability based on two-diode model," Solar Energy, vol. 85, no. 9, pp. 2217-2227, 2011.

U. Yilmaz, A. Kircay, and S. Borekci, "PV system fuzzy logic MPPT method and PI control as a charge controller," Renewable and Sustainable Energy Reviews, vol. 81, pp. 994-1001, 2018.

N.F. Claude Bertin, K.A.M.T.A. Martin, and W.I.R.A. Patrice, "A comprehensive assessment of MPPT algorithms to optimal power extraction of a PV panel," Journal of Solar Energy Research, vol. 4, no. 3, pp. 172-179, 2019.

H. Rezk and A. Fathy, "A novel optimal parameters identification of triple-junction solar cell on a recently meta-heuristic water cycle algorithm," Solar Energy, vol. 157, pp. 778-791, 2017.

H. Rezk, I. Tyukhov, M. Al-Dhaifallah, and A. Tikhonov, "Performance of data acquisition system for monitoring PV system parameters," Measurement, vol. 104, pp. 204-211, 2017.

T.H. Kwan and X. Wu, "High performance P&O based lock-on mechanism MPPT algorithm with smooth tracking," Solar Energy, vol. 155, pp. 816-828, 2017.

N.A. Kamarzaman and C.W. Tan, "A comprehensive review of maximum power point tracking algorithms for photovoltaic systems," Renewable and Sustainable Energy Reviews, vol. 37, pp. 585-598, 2014.

S.G. Obukhov, I.A. Plotnikov, and S.K. Sheryazov, "Methods of effective use of solar power system," Proceedings of the 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2016, pp. 1-6.

M.A. Husain, A. Tariq, S. Hameed, M.S. Bin Arif, and A. Jain, "Comparative assessment of maximum power point tracking procedures for photovoltaic systems," Green Energy and Environment, vol. 2, no. 1, pp. 5-17, 2017.

Ahmad, G.E., "Photovoltaic-powered rural zone family house in Egypt," Renewable Energy, vol. 26, pp. 379-390, 2002.

Ghafoor, A., and Munir, A., "Design and economic analysis of an off-grid PV system for household electrification," Renewable and Sustainable Energy Reviews, vol. 42, pp. 496-502, 2015.

S. Obukhov, A. Ibrahim, A.A.Z. Diab, A.S. Al-Sumaiti, and R. Aboelsaud, "Optimal performance of dynamic particle swarm optimization based maximum power trackers for stand-alone PV system under partial shading conditions," IEEE Access, vol. 20, pp. 1-28, 2020.

M.H. Rashid, Power Electronics Handbook: Devices, Circuits and Applications, 3rd ed., Oxford: Butterworth-Heinemann, 2011, 1409 p.

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S.G. Obukhov, I.A. Plotnikov, and S.K. Sheryazov, “Methods of effective use of solar power system,” in 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 2016, pp. 1–6.

M. Seyedmahmoudian, B. Horan, T.K. Soon, R. Rahmani, A.M. Than Oo, S. Mekhilef, and A. Stojcevski, “State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review,” Renewable and Sustainable Energy Reviews, vol. 64, pp. 435–455, 2016.

F. Belhachat and C. Larbes, “Comprehensive review on global maximum power point tracking techniques for PV systems subjected to partial shading conditions,” Solar Energy, 2019.

S. Mirjalili, S.M. Mirjalili, and A. Lewis, “Grey wolf optimizer,” Advances in Engineering Software, vol. 69, pp. 46-61, 2014.

C. Muro, R. Escobedo, L. Spector, and R.P. Coppinger, “Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations,” Behavioural Processes, vol. 88, no. 3, pp. 192-197, 2011.

A. Ostadrahimi and Y. Mahmoud, “Novel Spline-MPPT Technique for Photovoltaic Systems under Uniform Irradiance and Partial Shading Conditions,” IEEE Transactions on Sustainable Energy, vol. 12, pp. 524–532, 2021.

R.B. Bollipo, S. Mikkili, and P.K. Bonthagorla, “Hybrid, optimal, intelligent and classical PV MPPT techniques: A review,” CSEE Journal of Power and Energy Systems, vol. 7, pp. 9–33, 2021.

N. Kacimi, A. Idir, S. Grouni, and M.S. Boucherit, “Improved MPPT Control Strategy for PV Connected to Grid Using IncCond-PSO-MPC Approach,” CSEE Journal of Power and Energy Systems, vol. 9, pp. 1008–1020, 2023.

S.P. Ye, Y.H. Liu, H.Y. Pai, A. Sangwongwanich, and F. Blaabjerg, “A Novel ANN-Based GMPPT Method for PV Systems under Complex Partial Shading Conditions,” IEEE Transactions on Sustainable Energy, vol. 15, pp. 328–338, 2024.

A.M. Eltamaly, “A novel benchmark-shading pattern for PV maximum power point trackers evaluation,” Solar Energy, vol. 263, 111897, 2023.

A.M. Eltamaly, “A novel musical chairs algorithm applied for MPPT of PV systems,” Renewable and Sustainable Energy Reviews, vol. 146, 111135, 2021.

T.B.N. Nguyen and K.-H. Chao, “Fast Maximum Power Tracking for Photovoltaic Module Array Using Only Voltage and Current Sensors,” Sensors and Materials, vol. 35, pp. 2619–2635, 2023.

A. Boukadoum, A. Bouguerne, and T. Bahi, “Performances improvement of Shunt active power filter with voltage sensor failure,” International Journal of Energetica, vol. 8, no. 1, pp. 38-43, 2023. doi: http://dx.doi.org/10.47238/ijeca.v5i2.129




DOI: http://dx.doi.org/10.47238/ijeca.v9i1.243

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