PV Distributed-MPP Tracking: Total-Cross-Tied configuration of MICs to extract the Maximum Power under Partial Shading conditions

The Photovoltaic (PV) central inverter architecture comprises of various PV module configurations. The PV module configurations are vulnerable to shading effects and cause mismatching power losses. To reduce the detrimental effect of shading and mismatching on energy production, Distributed-Maximum Power Point Tracking (D-MPPT) architecture has been proposed. In this architecture, an individual DC-DC converter is integrated to each PV module/sub-module or short-string of PV modules to extract the maximum power. This topology is referred to as Module-Integrated-Converter (MIC). In conventional D-MPPT architecture, the output terminals of the MICs are connected in series or parallel configuration only. In series configuration, because of cross-coupling effects, the operating points of MICs are deviated from the Maximum Power Point (MPP). In parallel configuration, the cross-coupling effects are not present. But, the limitations of parallel configuration are lower conversion efficiency, lower voltages and higher currents, two-stage voltage conversion and also the use of isolated converters. To overcome the limitations of conventional configurations, this research paper proposes the Total-Cross-Tied (T-C-T) configuration of MICs. The performance of the proposed configuration is compared with the conventional configurations under various partial shading conditions. The proposed configuration extracts the maximum power from each PV module/sub-module or short-strings by minimizing the cross-coupling effects.

[1]  T. Suntio,et al.  Origin of Cross-Coupling Effects in Distributed DC–DC Converters in Photovoltaic Applications , 2013, IEEE Transactions on Power Electronics.

[2]  Teuvo Suntio,et al.  Distributed MPP-Tracking: Cross-Coupling Effects in Series and Parallel Connected DC/DC Converters , 2012 .

[3]  A. Bidram,et al.  Control and Circuit Techniques to Mitigate Partial Shading Effects in Photovoltaic Arrays , 2012, IEEE Journal of Photovoltaics.

[4]  T. Suntio,et al.  Interfacing constraints of distributed maximum power point tracking converters in photovoltaic applications , 2012, 2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC).

[5]  Susovon Samanta,et al.  Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems , 2015, IEEE Transactions on Industrial Electronics.

[6]  Suresh Mikkili,et al.  Modelling and performance assessment of PV array topologies under partial shading conditions to mitigate the mismatching power losses , 2018 .

[7]  Prasad Enjeti,et al.  Analysis and mitigation of common mode voltages in photovoltaic power systems , 2011, 2011 IEEE Energy Conversion Congress and Exposition.

[8]  Jan T. Bialasiewicz,et al.  Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey , 2006, IEEE Transactions on Industrial Electronics.

[9]  Massimo Vitelli,et al.  Distributed Maximum Power Point Tracking: Challenges and Commercial Solutions , 2012 .

[10]  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.

[11]  Carlos Andrés Ramos-Paja,et al.  Granular control of photovoltaic arrays by means of a multi‐output Maximum Power Point Tracking algorithm , 2012 .

[12]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[13]  Suresh Mikkili,et al.  Modeling, simulation, and performance analysis of PV array configurations (Series, Series-Parallel, Bridge-Linked, and Honey-Comb) to harvest maximum power under various Partial Shading Conditions , 2018, International Journal of Green Energy.

[14]  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.

[15]  C. Larbes,et al.  Modeling, analysis and comparison of solar photovoltaic array configurations under partial shading conditions , 2015 .