A Novel Adaptive Topology for Photovoltaic Array under Partial shadings to Increase Energy Yields

Gadaram MEERI MATHA, B. Loveswara Raob

Abstract


 

Abstract- This paper proposed a new adaptive reconfiguration technique for total cross-tied (TCT) PV array to reduce the loss of mismatch and to increase energy output under partial shadings (PS) through MATLAB-SIMULINK. During this work, the electrical connections between PV modules are modified with the help of proposed pattern search algorithm to maintain equal currents in each row on the basis of shading conditions, thus increasing the current of the array. The proposed algorithm classifies the possible number of PV array connections for adaptive system and determines the optimal connection between them. This approach is implemented on a 3×3 array and evaluated under various possible conditions of shadings. In contrast, this proposed method is validated with current reconfiguration methods and compares the global maximum power point (GMPP), shadow loss, and fill factor. Based on the findings of this study, it is acknowledged that the proposed adaptive method strengthened the TCT array energy yield compared to other methods under partial shadings.


Keywords


Adaptive PV array; Dynamic reconfiguration; Global peak (GP); Pattern search algorithm (PSA).

Full Text:

PDF

References


L-L. Li, G-Q. Lin, M-L. Tseng, K. Tan, M. K. Lim, “a maximum power point tracking method for PV system with improved gravitational search algorithmâ€, Applied Soft Computing, vol. 65, pp. 333-348, 2018.

Meerimatha, G., and B. Loveswara Rao, "Novel reconfiguration approach to reduce line losses of the photovoltaic array under various shading conditions", Energy, vol.196: 117120, 2020.

Al-Dousari, Ali, Waleed Al-Nassar, Ali Al-Hemoud, Abeer Alsaleh, Ashraf Ramadan, Noor Al-Dousari, and Modi Ahmed, "Solar and wind energy: Challenges and solutions in desert regions", Energy, vol.176, pp.184-194, 2019.

Suneel Raju Pendem and Suresh Mikkili, “Modelling, Simulation and Performance analysis of solar PV array configurations (series, series-parallel and honey-comb) to extract maximum power under partial shading conditionsâ€, Energy Reports, vol.4, pp. 274-287, 2018.

Suneel Raju Pendem and Suresh Mikkili, “Modelling and Performance assessment of pv array topologies under partial shading conditions to mitigate mismatch power lossesâ€, Solar Energy, vol.160, pp. 303-321, 2018.

Nabil Karami, Nazih Moubayed, Rachid Outbib, “General review and classification of different MPPT Techniquesâ€, Renewable and Sustainable Energy Reviews, vol. 68, pp. 1-18, 2017.

Wang, Yaw-Juen, and Po-Chun Hsu, "An investigation on partial shading of PV modules with different connection configurations of PV cells", Energy, vol.36 (5), pp. 3069-3078, 2011.

G Sai Krishna and Tukaram Moger, “Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: State of the artâ€, Solar Energy, vol.182, pp. 429-452, 2019.

Nguyen, Dzung, and Brad Lehman, "An adaptive solar photovoltaic array using model-based reconfiguration algorithm", IEEE Transactions on Industrial Electronics, vol. 55(7), pp. 2644-2654, 2008.

Velasco-Quesada, G., Guinjoan-Gispert, F., Piqué-López, R., Román-Lumbreras, M., and Conesa-Roca.A,â€Electrical PV array reconfiguration strategy for energy extraction improvement in grid-connected PV systemsâ€, IEEE Transactions on Industrial Electronics, vol. 56(11), pp. 4319-4331, 2009.

M. A. Danandeh, S. M. G. Mousavi, “Comparative and comprehensive review of maximum power point tracking methods for PV cellsâ€, Renew. Sustain. Energy Rev., vol. 82, pp. 2743-2767, Feb. 2018.

Romano, Pietro, Romano Candela, Marzia Cardinale, Vincenzo Li Vigni, Domenico Musso, and Eleonora Riva Sanseverino, "Optimization of photovoltaic energy production through an efficient switching matrix", Journal of Sustainable Development of Energy, Water and Environment Systems, Vol.1( 3) , pp. 227-236, 2013.

Babu, Thanikanti Sudhakar, J. Prasanth Ram, Tomislav DragiÄević, Masafumi Miyatake, Frede Blaabjerg, and Natarajan Rajasekar, "Particle swarm optimization based solar PV array reconfiguration of the maximum power extraction under partial shading conditions", IEEE Transactions on Sustainable Energy, vol. 9(1), pp. 74-85, 2017.

Potnuru, Srinivasa Rao, Dinesh Pattabiraman, Saravana Ilango Ganesan, and Nagamani Chilakapati, "Positioning of PV panels for reduction in line losses and mismatch losses in PV array", Renewable Energy, vol.78, pp. 264-275, 2015.

Deshkar, Shubhankar Niranjan, Sumedh Bhaskar Dhale, Jishnu Shekar Mukherjee, T. Sudhakar Babu, and N. Rajasekar, "Solar PV array reconfiguration under partial shading conditions for maximum power extraction using genetic algorithm", Renewable and Sustainable Energy Reviews, vol.43, pp. 102-110, 2015.

Samikannu, Sarojini Mary, Rakesh Namani, and Senthil Kumar Subramaniam, "Power enhancement of partially shaded PV arrays through shade dispersion using magic square configuration", Journal of Renewable and Sustainable Energy, Vol.4 (6), pp. 236-242, 2016.

Tatabhatla, Venkata Madhava Ram, Anshul Agarwal, and Tirupathiraju Kanumuri, "Performance enhancement by shade dispersion of Solar Photo-Voltaic array under continuous dynamic partial shading conditions", Journal of cleaner production, vol.213, pp.462-479, 2019.

El-Dein, MZ Shams, Mehrdad Kazerani, and M. M. A. Salama. "Optimal photovoltaic array reconfiguration to reduce partial shading losses", IEEE Transactions on Sustainable Energy, vol. 4(1), pp. 145-153, 2012.

Storey, Jonathan P., Peter R. Wilson, and Darren Bagnall, "Improved optimization strategy for irradiance equalization in dynamic photovoltaic arraysâ€, IEEE transactions on power electronics, Vol.28 (6), pp. 2946-2956, 2013.




DOI (PDF): https://doi.org/10.20508/ijrer.v10i3.11023.g7987

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE in 2024; 

h=33,

Average citation per item=6.17

Impact Factor=(1749+1867+1731)/(201+146+171)=10.32

Category Quartile:Q4