A MPPT strategy with variable weather parameters through analyzing the effect of the DC/DC converter to the MPP of PV system

Abstract In order to achieve the maximum power point (MPP) of photovoltaic (PV) system as quickly as possible and improve the MPPT adaptability to the varying weather conditions, in this paper, a maximum power point tracking (MPPT) control strategy with variable weather parameters (VWP) is proposed. In this strategy, the MPP difference between PV system with and without DC/DC converter is analyzed and used as the theoretical basis of acquiring the MPP control signal. Meanwhile, the direct relationship between control signal and VWP is found out by the curve-fitting technique, which is the key work to implement this proposed strategy. Finally, some simulation experiments show that the proposed control strategy is feasible and available to track the MPP successfully, and has better MPPT performance than conventional perturbation and observation (P&O) method under different weather conditions and than fuzzy control method under fast changing weather conditions.

[1]  Joe-Air Jiang,et al.  On application of a new hybrid maximum power point tracking (MPPT) based photovoltaic system to the closed plant factory , 2014 .

[2]  M. Arutchelvi,et al.  Analysis and enhancement of PV efficiency with incremental conductance MPPT technique under non-linear loading conditions , 2015 .

[3]  C. Pan,et al.  A fast maximum power point tracker for photovoltaic power systems , 1999, IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029).

[4]  Yuji Ando,et al.  Maximum output control of photovoltaic (PV) array , 2000, Collection of Technical Papers. 35th Intersociety Energy Conversion Engineering Conference and Exhibit (IECEC) (Cat. No.00CH37022).

[5]  B. Zahawi,et al.  Assessment of the Incremental Conductance Maximum Power Point Tracking Algorithm , 2013, IEEE Transactions on Sustainable Energy.

[6]  Anis Sakly,et al.  Comparison between conventional methods and GA approach for maximum power point tracking of shaded solar PV generators , 2013 .

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

[8]  Jubaer Ahmed,et al.  The application of soft computing methods for MPPT of PV system: A technological and status review , 2013 .

[9]  Z. Salam,et al.  An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency , 2015 .

[10]  Scott Moura sjmoura A Switched Extremum Seeking Approach to Maximum Power Point Tracking in Photovoltaic Systems , 2009 .

[11]  Nobuyoshi Mutoh,et al.  A Method for MPPT Control While Searching for Parameters Corresponding to Weather Conditions for PV Generation Systems , 2004, IEEE Transactions on Industrial Electronics.

[12]  Ying Zhang,et al.  A comparative study of the maximum power point tracking methods for PV systems , 2014 .

[13]  Jen-Hao Teng,et al.  Novel and Fast Maximum Power Point Tracking for Photovoltaic Generation , 2016, IEEE Transactions on Industrial Electronics.

[14]  Shaowu Li,et al.  A maximum power point tracking control strategy with variable weather parameters for photovoltaic systems with DC bus , 2015 .

[15]  Boutaib Dahhou,et al.  Adaptive fuzzy controller based MPPT for photovoltaic systems , 2014 .

[16]  Mariano Sidrach-de-Cardona,et al.  Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies , 2007 .

[17]  Fan Zhang,et al.  Novel current sensing photovoltaic maximum power point tracking based on sliding mode control strategy , 2015 .

[18]  K. M. Tsang,et al.  Model based rapid maximum power point tracking for photovoltaic systems , 2013 .

[19]  Kashif Ishaque,et al.  The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions , 2014 .

[20]  Shaowu Li,et al.  A novel maximum power point tracking control method with variable weather parameters for photovoltaic systems , 2013 .

[21]  Parimita Mohanty,et al.  MATLAB based modeling to study the performance of different MPPT techniques used for solar PV system under various operating conditions , 2014 .

[22]  Soteris A. Kalogirou,et al.  MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives , 2014 .

[23]  Shaowu Li A maximum power point tracking method with variable weather parameters based on input resistance for photovoltaic system , 2015 .

[24]  F. Bouchafaa,et al.  Fuzzy Logic Control for the tracking of maximum power point of a PV system , 2011 .

[25]  Chih-Ming Hong,et al.  Intelligent control of a grid-connected wind-photovoltaic hybrid power systems , 2014 .