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Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition

JNT University Kakinada, India

Published: 6 Nov 2017.
Editor(s): H Hadiyanto

Citation Format:
Abstract

Partial shading condition is one of the adverse phenomena which effects the power output of photovoltaic (PV) systems due to inaccurate tracking of global maximum power point. Conventional Maximum Power Point Tracking (MPPT) techniques like Perturb and Observe, Incremental Conductance and Hill Climbing can track the maximum power point effectively under uniform shaded condition, but fails under partial shaded condition. An attractive solution under partial shaded condition is application of meta-heuristic algorithms to operate at global maximum power point. Hence in this paper, an Enhanced Grey Wolf Optimizer (EGWO) based maximum power point tracking algorithm is proposed to track the global maximum power point of PV system under partial shading condition. A Mathematical model of PV system is developed under partial shaded condition using single diode model and EGWO is applied to track global maximum power point. The proposed method is programmed in MATLAB environment and simulations are carried out on 4S and 2S2P PV configurations for dynamically changing shading patterns. The results of the proposed method are analyzed and compared with GWO and PSO algorithms. It is observed that proposed method is effective in tracking global maximum power point with more accuracy in less computation time compared to other methods.

Article History: Received June 12nd 2017; Received in revised form August 13rd 2017; Accepted August 15th 2017; Available online

How to Cite This Article: Kumar, C.H.S and Rao, R.S. (2017 Enhanced Grey Wolf Optimizer Based MPPT Algorithm of PV System Under Partial Shaded Condition. Int. Journal of Renewable Energy Development, 6(3), 203-212.

https://doi.org/10.14710/ijred.6.3.203-212

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Keywords: Enhanced Grey Wolf Optimizer, Maximum power point tracking, Partial shaded condition, PV system, Single diode model.

Article Metrics:

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  1. Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition

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  5. Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques

    Aidha Muhammad Ajmal, Vigna K. Ramachandaramurthy, Amirreza Naderipour, Janaka B. Ekanayake. Energy Conversion and Management, 230 , 2021. doi: 10.1016/j.enconman.2020.113806
  6. An intelligent EGWO-SCA-CS algorithm for PSS parameter tuning under system uncertainties

    Devarapalli R.. International Journal of Intelligent Systems, 35 (10), 2020. doi: 10.1002/int.22263
  7. Enhanced Grey Wolf optimization for GMPP Tracking of PV Systems Under Partial Shading Condition

    Latefa A. El-sharawy, Hadi M. El-helw, Hany M. Hasanien. 2019 21st International Middle East Power Systems Conference (MEPCON), 2019. doi: 10.1109/MEPCON47431.2019.9008051
  8. Grade point average assessment for metaheuristic GMPP techniques of partial shaded PV systems

    Ali M. Eltamaly, Hassan M.H. Farh, Mamdooh S. Al‐Saud. IET Renewable Power Generation, 13 (8), 2019. doi: 10.1049/iet-rpg.2018.5336
  9. Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC

    Ali M. Eltamaly, Hassan M.H. Farh. Solar Energy, 177 , 2019. doi: 10.1016/j.solener.2018.11.028
  10. A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions

    Faiza Belhachat, Cherif Larbes. Renewable and Sustainable Energy Reviews, 92 , 2018. doi: 10.1016/j.rser.2018.04.094
  11. Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification

    Bo Yang, Jingbo Wang, Xiaoshun Zhang, Tao Yu, Wei Yao, Hongchun Shu, Fang Zeng, Liming Sun. Energy Conversion and Management, 208 , 2020. doi: 10.1016/j.enconman.2020.112595
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  14. An Improved Gray Wolf Optimizer MPPT Algorithm for PV System With BFBIC Converter Under Partial Shading

    Ke Guo, Lichuang Cui, Mingxuan Mao, Lin Zhou, Qianjin Zhang. IEEE Access, 8 , 2020. doi: 10.1109/ACCESS.2020.2999311
  15. A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system

    Hegazy Rezk, Mazen AL-Oran, Mohamed R. Gomaa, Mohamed A. Tolba, Ahmed Fathy, Mohammad Ali Abdelkareem, A.G. Olabi, Abou Hashema M. El-Sayed. Renewable and Sustainable Energy Reviews, 115 , 2019. doi: 10.1016/j.rser.2019.109372
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