American Journal of Electrical Power and Energy Systems
Volume 8, Issue 5, September 2019, Pages: 104-110
Received: Aug. 2, 2019;
Accepted: Sep. 2, 2019;
Published: Sep. 17, 2019
Views 64 Downloads 16
Thanh Ngo Ngoc, Faculty of Information Technology, Electric Power University, Hanoi, Vietnam
Ninh Nguyen Quang, Center for Research and Development on Renewable Energy Technology, Institute of Energy Science, IES-VAST, Hanoi, Vietnam
Linh Bui Duy, National Load Dispatch Centre, Vietnam Electricity, Hanoi, Vietnam
Balance solar radiation between photovoltaic panels or between groups of photovoltaic panels will help to improve the efficiency of electricity generation of the entire solar power system, making the most of the solar energy converted into electricity power. In order to achieve this, it is necessary to reconfigure the connection of photovoltaic panels or groups of photovoltaic panels in the solar power system. In this paper, the general mathematical model for implementing resconfiguring of photovoltaic panels or groups of photovoltaic panels is presented in 2 parts: calculating to find out the optimal configuration connecting photovoltaic panels or groups of photovoltaic panels to achieve the highest performance of the solar system; and find out the best way to switch from the initial connection configuration state to the optimal configuration. The author focuses on analyzing and proposing mathematical models for two main problems in previous studies, developing objective functions and clear constraints, which are the rationale for evaluation of the quality and accuracy of the proposed algorithms, thereby developing more optimal algorithms than previous algorithms. Several experimental studies have been applied on a system of 4 solar panels. The archived results demonstrated the correctness and efficiency of the proposed mathematical model and optimal algorithm.
Thanh Ngo Ngoc,
Ninh Nguyen Quang,
Linh Bui Duy,
Reconfiguration of Solar Panels: Mathematical Model and Analysis, American Journal of Electrical Power and Energy Systems.
Vol. 8, No. 5,
2019, pp. 104-110.
Faiza Belhachat, Cherif Larbes, Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions. Renewable and Sustainable Energy Reviews, 2017. 77.
Boualem Bendib, Hocine Belmili, Fateh Krimb, A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems. Renewable and Sustainable Energy Reviews, 5/2015. 45.
Mohamed A. Eltawil, Zhengming Zhao, MPPT techniques for photovoltaic applications. Renewable and Sustainable Energy Reviews, 12/2013. 25: p. 793-813.
Balaji Veerasamy, Wataru Kitagawa, Takaharu Takeshita, MPPT method for PV modules using current control-based partial shading detection, in 2014 International Conference on Renewable Energy Research and Application (ICRERA). 2014.
Merwan Saadsaoud, Abbassi Hadj AHmed, Kermiche Salah, Study of Partial Shading Effects on Photovoltaic Arrays with Comprehensive Simulator for Global MPPT control. International Journal of Renewable Energy Research-IJRER, 2016. 6 (2).
Subhashree Choudhury, Pravat Kumar Rout, Adaptive Fuzzy Logic based MPPT Control for PV System Under Partial Shading Condition. International Journal of Renewable Energy Research-IJRER, 2015. 5 (4).
Subhash Chander, A. Purohit, Anshu Sharma, S. P. Nehra, M. S. Dhakaa, Impact of temperature on performance of series and parallel connected mono-crystalline silicon solar cells. Energy Reports, 2015. 1: p. 175-180.
F. Reis, C. Guerreiro, F. Batista, T. Pimentel, M. Pravettoni, J. Wemans, G. Sorasio, M. C. Brito, Modeling the Effects of Inhomogeneous Irradiation and Temperature Profile on CPV Solar Cell Behavior. IEEE Journal of Photovoltaics, 2015. 5 (1): p. 112-122.
Joseph J. Wysocki, Paul Rappaport, Effect of Temperature on Photovoltaic Solar Energy Conversion. Journal of Applied Physics, 2004. 31 (571).
Priyanka Singh, S. N. Singh, M. Lal, M. Husain, Temperature dependence of I–V characteristics and performance parameters of silicon solar cell. Solar Energy Materials and Solar Cells, 2008. 92 (12): p. 1611-1616.
Eleonora Riva Sanseverino, Ngo Ngoc Thanh, Marzia Cardinale, Vincenzo Li Vigni, Domenico Musso, Pietro Romano, Fabio Viola, Dynamic programming and Munkres algorithm for Optimal Photovoltaic Arrays Reconfiguration. Solar Energy, 12/2015. 122: p. Pages 347–358.
Ngo Ngoc Thanh, Nguyen Phung Quang, Pham Thuong Cat, Improved control algorithm for increase efficiency of photovoltaic system under non-homogeneous solar irradiance. Special issue control and automation, 2016. 16: p. 12.
Thanh Ngo Ngoc, Quang Nguyen Phung, Linh Nguyen Tung, Eleonora Riva Sanseverino, Pietro Romano, Fabio Viola, Increasing efficiency of photovoltaic systems under non-homogeneous solar irradiation using improved Dynamic Programming methods. Solar Energy, 2017. 150: p. 325-334.
Ngo Ngoc Thanh, Nguyen Phung Quang, Simulation of reconfiguration system using Matlab-Simulink environment. Journal of Computer Science and Cybernetics, 2018. Accepted.
Damiano La Manna, Vincenzo Li Vigni, Eleonora Riva Sanseverino, Vincenzo Di Dio, Pietro Romano, Reconfigurable electrical interconnection strategies for photovoltaic arrays: A review. Renewable and Sustainable Energy Reviews, 2014.
P. Romano, R. Candela, M. Cardinale, V. Li Vigni, D. Musso, E. Riva Sanseverino, Optimization of photovoltaic energy production through an efficient switching matrix. Journal of Sustainable Development of Energy, Water and Environment Systems, 2013. 1 (3): p. 227-236.
Guillermo Velasco, Francesc Guinjoan, Robert Pique, Electrical PV Array Reconfiguration Strategy for Energy Extraction Improvement in Grid-Connected PV Systems. IEEE Transactions on Industrial Electronics, 2009. 56 (11): p. 4319-4331.