Modeling and simulation of Incremental conductance MPPT algorithm based solar Photo Voltaic system using CUK converter

This paper proposes a method for modeling and simulation of photovoltaic system and Maximum Power Point tracking (MPPT). Due to poor efficiency of Photo voltaic (PV) systems some MPPT methods are proposed. All MPPT methods follow the same goal that is maximizing the PV system output power by tracking the maximum power on every operating condition.. In this paper maximum power point tracking technique (Incremental conductance) for photovoltaic systems were introduced to maximize the produced energy. The general model was implemented on Mat lab, and accepts irradiance and temperature as variable parameters and outputs the I-V characteristic and P-V characteristic.

[1]  N. Femia Predictive & Adaptive MPPT Perturb and Observe Method , 2009 .

[2]  J. Lu,et al.  High frequency and high power density transformers for DC/DC converter used in solar PV system , 2010, The 2nd International Symposium on Power Electronics for Distributed Generation Systems.

[3]  Anuradha Kar,et al.  A New Maximum Power Point Tracking Algorithm for PV Modules under Partial Shading and Rapidly Varying Illumination , 2009, 2009 Annual IEEE India Conference.

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

[5]  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.

[6]  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.

[7]  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.

[8]  Myung-Joong Youn,et al.  New Maximum Power Point Tracker Using Sliding-Mode Observer for Estimation of Solar Array Current in the Grid-Connected Photovoltaic System , 2006, IEEE Transactions on Industrial Electronics.

[9]  Jian Wang,et al.  Analysis of Photovoltaic Charging System Based on MPPT , 2008, 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application.

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

[11]  G. Petrone,et al.  Predictive & Adaptive MPPT Perturb and Observe Method , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Henry Shu-Hung Chung,et al.  A comparative study of maximum-power-point trackers for photovoltaic panels using switching-frequency modulation scheme , 2004, IEEE Transactions on Industrial Electronics.

[13]  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).

[14]  R. Belmans,et al.  Voltage fluctuations on distribution level introduced by photovoltaic systems , 2006, IEEE Transactions on Energy Conversion.

[15]  Andres Barrado,et al.  Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems , 2006 .

[16]  L. Fei,et al.  Study on realizing MPPT by improved Incremental Conductance method with variable step-size , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

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

[18]  Saad Mekhilef,et al.  Simulation and Hardware Implementation of Incremental Conductance MPPT With Direct Control Method Using Cuk Converter , 2011, IEEE Transactions on Industrial Electronics.

[19]  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.