Optimal Photovoltaic Array Dynamic Reconfiguration Strategy Based on Direct Power Evaluation

In actual operation, photovoltaic arrays inevitably encounter shadow problems, resulting in a power output decline and multiple peaks in the output characteristics. The effect of partial shade can be satisfactorily reduced by photovoltaic array reconfiguration. Almost all current reconfiguration techniques are based on the irradiance equalization principle. However, by analyzing the output characteristics of photovoltaic array, it is found that the irradiance equalization principle improves the output power by increasing only the minimum row current without considering the effect of the voltage, so the reconfiguration techniques based on this principle cannot obtain the global optimal configuration under some partial shading conditions. In order to maximize the output power of photovoltaic array under any partial shaded condition, this paper proposes a reconfiguration strategy based on direct power evaluation. In this approach, the reconfiguration problem is formulated as a 0–1 multi-knapsack problem, and a novel mathematical model is established to directly evaluate the maximum output power of photovoltaic array. Then, the optimal reconfiguration scheme is determined by solving the mathematical model. Finally, the effectiveness of the proposed reconfiguration strategy is proved in theory and simulations.

[1]  Priya Ranjan Satpathy,et al.  Power and mismatch losses mitigation by a fixed electrical reconfiguration technique for partially shaded photovoltaic arrays , 2019, Energy Conversion and Management.

[2]  Eleonora Riva Sanseverino,et al.  Optimization of photovoltaic energy production through an efficient switching matrix , 2013 .

[3]  Okan Bingöl,et al.  Analysis and comparison of different PV array configurations under partial shading conditions , 2018 .

[4]  Hocine Labar,et al.  Real time partial shading detection and global maximum power point tracking applied to outdoor PV panel boost converter , 2018, Energy Conversion and Management.

[5]  Karthik Balasubramanian,et al.  Photovoltaic Array Reconfiguration System for Maximizing the Harvested Power Using Population-Based Algorithms , 2020, IEEE Access.

[6]  M. M. A. Salama,et al.  Optimal Photovoltaic Array Reconfiguration to Reduce Partial Shading Losses , 2013, IEEE Transactions on Sustainable Energy.

[7]  Koray Şener Parlak,et al.  PV array reconfiguration method under partial shading conditions , 2014 .

[8]  Tao Yu,et al.  Dynamic leader based collective intelligence for maximum power point tracking of PV systems affected by partial shading condition , 2019, Energy Conversion and Management.

[9]  Ahmed Fathy,et al.  Recent meta-heuristic grasshopper optimization algorithm for optimal reconfiguration of partially shaded PV array , 2018, Solar Energy.

[10]  Renu Sharma,et al.  Power enhancement from partially shaded modules of solar PV arrays through various interconnections among modules , 2018 .

[11]  Luigi Costanzo,et al.  Reconfiguration of PV modules: A tool to get the best compromise between maximization of the extracted power and minimization of localized heating phenomena , 2016 .

[12]  Majid Horoufiany,et al.  Optimization of the Sudoku based reconfiguration technique for PV arrays power enhancement under mutual shading conditions , 2018 .

[13]  Eleonora Riva Sanseverino,et al.  Reconfigurable electrical interconnection strategies for photovoltaic arrays: A review , 2014 .

[14]  Dimitrios Soudris,et al.  A cost-benefit analysis for reconfigurable PV modules under shading , 2019, Solar Energy.

[15]  N. Rajasekar,et al.  Solar PV array reconfiguration under partial shading conditions for maximum power extraction using genetic algorithm , 2015 .

[16]  Tukaram Moger,et al.  Reconfiguration strategies for reducing partial shading effects in photovoltaic arrays: State of the art , 2019, Solar Energy.

[17]  N. Rajasekar,et al.  Power enhancement of PV system via physical array reconfiguration based Lo Shu technique , 2020 .

[18]  N. Rajasekar,et al.  Dominance square based array reconfiguration scheme for power loss reduction in solar PhotoVoltaic (PV) systems , 2018 .

[19]  Guillermo Velasco-Quesada,et al.  Electrical PV Array Reconfiguration Strategy for Energy Extraction Improvement in Grid-Connected PV Systems , 2009, IEEE Transactions on Industrial Electronics.

[20]  P. R. Wilson,et al.  Improved Optimization Strategy for Irradiance Equalization in Dynamic Photovoltaic Arrays , 2013, IEEE Transactions on Power Electronics.

[21]  Daniel Hissel,et al.  Reconfiguration solution for shaded PV panels using switching control , 2015 .

[22]  Fabio Viola,et al.  Dynamic programming and Munkres algorithm for optimal photovoltaic arrays reconfiguration , 2015 .

[23]  F. Guinjoan,et al.  Grid-connected PV systems energy extraction improvement by means of an Electric Array Reconfiguration (EAR) strategy: Operating principle and experimental results , 2008, 2008 IEEE Power Electronics Specialists Conference.

[24]  Frede Blaabjerg,et al.  Particle Swarm Optimization Based Solar PV Array Reconfiguration of the Maximum Power Extraction Under Partial Shading Conditions , 2018, IEEE Transactions on Sustainable Energy.

[25]  Eleonora Riva Sanseverino,et al.  Increasing efficiency of photovoltaic systems under non-homogeneous solar irradiation using improved Dynamic Programming methods , 2017 .

[26]  Tukaram Moger,et al.  Improved SuDoKu reconfiguration technique for total-cross-tied PV array to enhance maximum power under partial shading conditions , 2019, Renewable and Sustainable Energy Reviews.

[27]  P. Gaur,et al.  A Su Do Ku puzzle based shade dispersion for maximum power enhancement of partially shaded hybrid bridge-link-total-cross-tied PV array , 2020 .

[28]  Mehmet Karaköse,et al.  Fuzzy Based Reconfiguration Method Using Intelligent Partial Shadow Detection in PV Arrays , 2016, Int. J. Comput. Intell. Syst..

[29]  Deng Shifeng,et al.  Research on hot spot risk for high-efficiency solar module , 2017 .

[30]  Kian Jazayeri,et al.  Adaptive photovoltaic array reconfiguration based on real cloud patterns to mitigate effects of non-uniform spatial irradiance profiles , 2017 .