Recent meta-heuristic grasshopper optimization algorithm for optimal reconfiguration of partially shaded PV array

Abstract When solar radiation striking the PV modules inserted in PV array is non-homogeneous; then the partial shading operation is taken place. This phenomenon has negative effects on the efficiency of the PV array as the generated power is reduced, hot spots are generated; one solution to get rid of these negatives is the reconfiguration of modules such that distributing the solar radiation in regular form as much as possible. Therefore, this paper proposed a new methodology based on recent meta-heuristic optimization algorithm named grasshopper to be applicable in solving the reconfiguration process of the partially shaded PV array optimally. The main purpose of such action is to maximize the power extracted from the array via proposed objective function presented in this work. The PV array arrangement obtained via the proposed approach incorporated recent meta-heuristic grasshopper optimization algorithm (GOA) is compared with those obtained via total cross tied connection (TCT), Su Do Ku connection and genetic algorithm (GA) configuration. Additionally, different shadow patterns during a day are studied and reconfiguration arrangement is obtained at each hour. The obtained results confirm the reliability and the efficiency of the proposed GOA in evaluating the global maximum power point (GMPP) extracted from the partially shaded PV array.

[1]  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.

[2]  R. Ramaprabha,et al.  Comprehensive analysis on the role of array size and configuration on energy yield of photovoltaic systems under shaded conditions , 2015 .

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

[4]  Eduard Muljadi,et al.  Determination of the optimal configuration for a photovoltaic array depending on the shading condition , 2013 .

[5]  N. D. Kaushika,et al.  Energy yield simulations of interconnected solar PV arrays , 2002, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[6]  Luigi Costanzo,et al.  Series–Parallel PV array re-configuration: Maximization of the extraction of energy and much more , 2015 .

[7]  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.

[8]  C. Nagamani,et al.  Enhanced Power Generation From PV Array Under Partial Shading Conditions by Shade Dispersion Using Su Do Ku Configuration , 2013, IEEE Transactions on Sustainable Energy.

[9]  Enio R. Ribeiro,et al.  Photovoltaic Array Reconfiguration Strategy for Maximization of Energy Production , 2015 .

[10]  Ratna Dahiya,et al.  Enhanced power generation of partial shaded photovoltaic fields by forecasting the interconnection of modules , 2016 .

[11]  Ahmed Fathy,et al.  A novel methodology for simulating maximum power point trackers using mine blast optimization and teaching learning based optimization algorithms for partially shaded photovoltaic system , 2016 .

[12]  Andrew J. Bernoff,et al.  A model for rolling swarms of locusts , 2007, q-bio/0703016.

[13]  Ahmed Fathy,et al.  A New Evolutionary Algorithm for the Optimal Sizing of Stand-Alone Photovoltaic System Based on Genetic Algorithm , 2013 .

[14]  Panajotis Agathoklis,et al.  PV array power output maximization under partial shading using new shifted PV array arrangements , 2017 .

[15]  Ahmed Fathy,et al.  Simulation of global MPPT based on teaching–learning-based optimization technique for partially shaded PV system , 2017 .

[16]  Vinod Kumar Yadav,et al.  Performance enhancement of PV system using proposed array topologies under various shadow patterns , 2017 .

[17]  C. Larbes,et al.  Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions , 2017 .

[18]  Andreas Spanias,et al.  Topology reconfiguration for optimization of photovoltaic array output , 2016 .

[19]  Majid Horoufiany,et al.  Optimal fixed reconfiguration scheme for PV arrays power enhancement under mutual shading conditions , 2017 .

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

[21]  E. Riva Sanseverino,et al.  Reconfiguration Techniques of Partial Shaded PV Systems for the Maximization of Electrical Energy Production , 2007, 2007 International Conference on Clean Electrical Power.

[22]  Andrew Lewis,et al.  Grasshopper Optimisation Algorithm: Theory and application , 2017, Adv. Eng. Softw..

[23]  Ahmed Fathy,et al.  Realworld maximum power point tracking simulation of PV system based on Fuzzy Logic control , 2012 .

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

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

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

[27]  R. Ramaprabha.  Selection of an Optimum Configuration of Solar PV Array under Partial Shaded Condition Using Particle Swarm Optimization , 2014 .

[28]  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 .

[29]  Nitin Chaturvedi,et al.  Optimal interconnections to address partial shading losses in solar photovoltaic arrays , 2017 .

[30]  Jean-Paul Gaubert,et al.  An Improved Maximum Power Point Tracking for Photovoltaic Grid-Connected Inverter Based on Voltage-Oriented Control , 2011, IEEE Transactions on Industrial Electronics.

[31]  Kuei-Hsiang Chao,et al.  The optimal configuration of photovoltaic module arrays based on adaptive switching controls , 2015 .

[32]  Saravana Ilango Ganesan,et al.  Positioning of PV panels for reduction in line losses and mismatch losses in PV array , 2015 .

[33]  Carlos Andrés Ramos-Paja,et al.  Reconfiguration analysis of photovoltaic arrays based on parameters estimation , 2013, Simul. Model. Pract. Theory.

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

[35]  G. R. Bindu,et al.  A novel Zig-Zag scheme for power enhancement of partially shaded solar arrays , 2016 .

[36]  Ronnie Belmans,et al.  Partial shadowing of photovoltaic arrays with different system configurations: literature review and field test results , 2003 .

[37]  Denise Wilson,et al.  Maximum power tracking in solar cell arrays using time-based reconfiguration , 2013 .