Sankar SELVAKUMAR, Chandrasekaran KOODALSAMY, Madhusmita MOHANTY, Sishajpulikottil SIMON

Global maximum operating point tracking for PV system using fast convergence firefly algorithm

Global maximum operating point (GMOP) tracking is an important requirement of solar photovoltaic (PV)systems under partial shading conditions (PSCs). Though the perturb and observe algorithm is simple and effective, itfails to recognize the GMOP. This paper explores the application of the firefly algorithm (FA) to the maximum powerpoint tracking (MPPT) problem of PV systems. In order to determine the shortest path to reach the GMOP undervarious PSCs, a new fast convergence firefly algorithm (FA) is proposed. Additionally, the change in firefly positionis limited to a maximum value identified based on the characteristics of the PSC. The fast convergence method isguaranteed to find the GMOP, avoiding the local operating point obstacle through a repeated space search technique.Using MATLAB, the algorithm is implemented on a model PV system. An experimental 300-W PV system is developedto validate the operating point of the PV system under various PSCs. The proposed method is tested on a 5-kW solarpower plant. The results demonstrate that the proposed MPPT algorithm outperforms particle swarm optimization,FA-based MPPTs, and other methods available in the literature.

PDF

___

[1] Leo R, Milton S, Senthilkumaran M. Implementation of energy management and demand side management of a solar microgrid using a hybrid platform. Turkish Journal of Electrical Engineering and Computer Sciences 2017; 25: 2219-2231. doi: 10.3906/elk-1601-206
[2] Kusum Lata T, Ratna D. Choice of battery energy storage for a hybrid renewable energy system. Turkish Journal of Electrical Engineering and Computer Sciences 2018; 26: 666-676. doi: 10.3906/elk-1707-350
[3] Özçelik MA, Yılmaz AS. Improving the incremental conductance algorithm for two-stage grid-connected photovoltaic systems. Turkish Journal of Electrical Engineering and Computer Sciences 2018; 26: 442-453. doi: 10.3906/elk-1412- 119
[4] Bidyadhar S, Raseswari P. A comparative study on maximum power point tracking techniques for photovoltaic power systems. IEEE Transactions on Sustainable Energy 2013; 4: 89-98. doi: 10.1109/TSTE.2012.2202294
[5] Indu Rani B, Saravanailango G, Nagamani C. Impact of partial shading on the output power of PV systems under partial shading conditions. IET Power Electronics 2014; 7: 657-666. doi: 10.1049/iet-pel.2013.0143
[6] Lyden S, Haque ME. A simulated annealing global maximum power point tracking approach for PV modules under partial shading conditions. IEEE Transactions on Power Electronics 2016; 31: 4171-4181. doi: 10.1109/TPEL.2015.2468592
[7] Hiren P, Vivek A. Maximum power point tracking scheme for PV systems operating under partially shaded conditions. IEEE Transactions on Industrial Electronics 2008; 55: 1689-1698. doi: 10.1109/TIE.2008.917118
[8] Mahmoud D. Assessing MPPT techniques on hot-spotted and partially shaded photovoltaic modules: comprehensive review based on experimental data. IEEE Transactions on Electronic Devices 2019; 66: 1132-1144. doi: 10.1109/TED.2019.289400
[9] Jubaer A, Zainal S. A critical evaluation on maximum power point tracking methods for partial shading in PV systems. Renewable and Sustainable Energy Reviews 2015; 47: 933-953. doi: 10.1016/j.rser.2015.03.080
[10] Mohapatra A, Nayak B, Priti D, Mohanty KB. A review on MPPT techniques for PV system under partial shading condition. Renewable and Sustainable Energy Reviews 2017; 80: 854-867. doi: 10.1016/j.rser.2017.05.083
[11] Faiza B, Cherif L. A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions. Renewable and Sustainable Energy Reviews 2018; 92: 513-553. doi: 10.1016/j.rser.2018.04.094
[12] Guiqiang L, Yi J, Akram MW, Xiao C, Jie Ji J. Application of bio-inspired algorithms in maximum power point tracking for PV systems under partial shading conditions - A review. Renewable and Sustainable Energy Reviews 2018; 81: 840-873. doi: 10.1016/j.rser.2017.08.034
[13] Xingshuo L, Huiqing W, Yihua H, Lin J, Weidong X. Modified beta algorithm for GMPPT and partial shading detection in photovoltaic systems. IEEE Transactions on Power Electronics 2018; 33: 2172-2186. doi: 10.1109/TPEL.2017.2697459
[14] Chakkarapani M, Gururaghav R, Gurupraanesh R, Ganesan S, Nagamani C. A hybrid algorithm for tracking of GMPP based on P&O and PSO with reduced power oscillation in string inverter. IEEE Transactions on Industrial Electronics 2016; 63: 6097-6106. doi: 10.1109/TIE.2016.2590382
[15] Banumalar K, Manikandanbairavan V, Chandrasekaran K, Sishajpulikottil S. Firefly algorithm with multiple workers for the power system unit commitment problem. Turkish Journal of Electrical Engineering and Computer Sciences 2016; 24: 4773–4789. doi: 10.3906/elk-1411-77
[16] Kinattingal S, Vethanayagam V, Peddapati S, Sishaj PS, Srinivasaraonayak P et al. Development of an improved P&O algorithm assisted through a colony of foraging ants for MPPT in PV system. IEEE Transactions on Industrial Informatics 2016; 12: 187-200. doi: 10.1109/TII.2015.2502428
[17] Mohamadamin G, Alireza R, Hossein Iman E. MPPT method for PV systems under partially shaded conditions by approximating I-V curve. IEEE Transactions on Industrial Electronics 2018; 65: 3966-3975. doi: 10.1109/TIE.2017.2764840
[18] Jain S, Agarwal V. Comparison of the performance of maximum power point tracking schemes applied to singlestage grid-connected photovoltaic systems. IET Electric Power Applications 2007; 1: 753-762. doi: 10.1049/ietepa:20060475
[19] Chao H, Long W, Huan L, Xiong L, Jenq-Haur W. A hybrid global maximum power point tracking method for photovoltaic arrays under partial shading conditions. Optik 2019; 180: 665–674. doi: 10.1016/j.ijleo.2018.11.1
[20] Kueihsiang C. An extension theory-based maximum power tracker using a particle swarm optimization algorithm. Energy Conversion and Management 2014; 86: 435–442. doi: 10.1016/j.enconman.2014.05.018
[21] Hong L, Duo Y, Wenzhe S, Jinhu L, Xinghuo Y. An overall distribution particle swarm optimization MPPT algorithm for photovoltaic system under partial shading. IEEE Transactions on Industrial Electronics 2019; 66: 265-275. doi: 10.1109/TIE.2018.2829668
[22] Hiren P, Vivek A. Maximum power point tracking scheme for PV systems operating under partially shaded conditions. IEEE Transactions on Industrial Electronics 2008; 55: 1689-1698. doi: 10.1109/TIE.2008.917118