Experimental test of seven widely-adopted MPPT algorithms

In these years the technology progress has allowed to increase renewable energies utilization and in the same time has contributed to raise large scale distributed generation applications. In particular the solar generation is growing and in the next future it will be always more considerable. Therefore it is important to optimize its production under different conditions (for example climatic situations), because the output characteristic of photovoltaic generators is nonlinear and changes with solar irradiation and cell's temperature. This paper presents a comparative study of seven widely-adopted MPPT algorithms; their performance is experimentally evaluated in presence of solar irradiance variations.

[1]  Y.S. Boutalis,et al.  New maximum power point tracker for PV arrays using fuzzy controller in close cooperation with fuzzy cognitive networks , 2006, IEEE Transactions on Energy Conversion.

[2]  R. Faranda,et al.  MPPT techniques for PV Systems: Energetic and cost comparison , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[3]  I. Batarseh,et al.  DSP-based multiple peak power tracking for expandable power system , 2003, Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03..

[4]  Ying-Tung Hsiao,et al.  Maximum power tracking for photovoltaic power system , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[5]  Minwon Park,et al.  A study on the optimal voltage for MPPT obtained by surface temperature of solar cell , 2004, 30th Annual Conference of IEEE Industrial Electronics Society, 2004. IECON 2004.

[6]  Ke-Horng Chen,et al.  A photovoltaic system with an analog maximum power point tracking technique for 97.3% high effectiveness , 2010, 2010 Proceedings of ESSCIRC.

[7]  Mike Ropp,et al.  Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed , 2000, Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists Conference - 2000 (Cat. No.00CH37036).

[8]  J. C. Schaefer.  Review of photovoltaic power plant performance and economics , 1990 .

[9]  Roberto Faranda,et al.  A solar converter for distributed generation able to improve the power quality supply , 2005 .

[10]  Toshihiko Noguchi,et al.  Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-and-converter module system , 2002, IEEE Trans. Ind. Electron..

[11]  Sonia Leva,et al.  Hybrid Renewable Energy-Fuel Cell System: design and performance evaluation , 2009 .

[12]  G. Yu,et al.  A novel two-mode MPPT control algorithm based on comparative study of existing algorithms , 2002, Conference Record of the Twenty-Ninth IEEE Photovoltaic Specialists Conference, 2002..

[13]  P.L. Chapman,et al.  Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques , 2007, IEEE Transactions on Energy Conversion.

[14]  M. Vitelli,et al.  Optimized one-cycle control in photovoltaic grid connected applications , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Xin Li,et al.  A research on photovoltaic energy controlling system with maximum power point tracking , 2002, Proceedings of the Power Conversion Conference-Osaka 2002 (Cat. No.02TH8579).

[16]  Chihchiang Hua,et al.  Comparative study of peak power tracking techniques for solar storage system , 1998, APEC '98 Thirteenth Annual Applied Power Electronics Conference and Exposition.

[17]  Tsutomu Hoshino,et al.  Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions , 1995 .

[18]  Dong-Seok Hyun,et al.  An improved MPPT converter using current compensation method for small scaled PV-applications , 2003, Eighteenth Annual IEEE Applied Power Electronics Conference and Exposition, 2003. APEC '03..