Comparative Study of Improved Energy Generation Maximization Techniques for Photovoltaic Systems

Load mismatch in photovoltaic (PV) systems may lead to considerable energy extraction losses. A DC-DC converter is usually used to match the load to the PV modules while keeping the module operating at the maximum power point (MPP), for power transfer maximization purpose. In this manner, up to 15% from the common energy extraction losses can be saved, i.e. about 6 GW when considering the 40 GW photovoltaic power generated in 2010. The converter is then driven by a pulse width modulation (PWM) scheme obtained from a MPP tracking (MPPT) controller. In this paper, two improved design approaches of the MPPT are illustrated and compared for both slow and fast changing insulation values. Both improved Incremental Conductance (INC) and improved Fuzzy MPPT techniques are fast and accurate in tracking the MPP for both slow and fast changing conditions. Some slight differences in the tracking speed, accuracy, simplicity, and cost factors make one of these two MPPT techniques superior to the other one for a certain application. Evaluation factors of both techniques are simulated and tested in this comparative study.

[1]  Poul Ejnar Sørensen,et al.  Models for a stand-alone PV system , 2001 .

[2]  Andrew Ramsay Knox,et al.  Improved Maximum Power Point Tracking Algorithm for Photovoltaic Systems , 2010 .

[3]  Suttichai Premrudeepreechacharn,et al.  Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system , 2005 .

[4]  Kostas Kalaitzakis,et al.  Development of a microcontroller-based, photovoltaic maximum power point tracking control system , 2001 .

[5]  T. Senjyu,et al.  Feedforward maximum power point tracking of PV systems using fuzzy controller , 2002 .

[6]  Mohamed Ibrahim,et al.  Maximum power point tracker for a PV cell using a fuzzy agent adapted by the fractional open circuit voltage technique , 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

[7]  R. Messenger,et al.  Photovoltaic Systems Engineering , 1999 .

[8]  Huan-Liang Tsai,et al.  Development of Generalized Photovoltaic Model Using MATLAB / SIMULINK , 2022 .

[9]  Johan H R Enslin,et al.  Integrated photovoltaic maximum power point tracking converter , 1997, IEEE Trans. Ind. Electron..

[10]  Guohui Zeng,et al.  A Novel Intelligent Fuzzy Controller for MPPT in Grid-connected Photovoltaic Systems , 2005 .

[11]  J. A. Gow,et al.  Development of a photovoltaic array model for use in power-electronics simulation studies , 1999 .

[12]  Josep M. Guerrero,et al.  A Novel Improved Variable Step-Size Incremental-Resistance MPPT Method for PV Systems , 2011, IEEE Transactions on Industrial Electronics.

[13]  Marcelo Gradella Villalva,et al.  Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays , 2009, IEEE Transactions on Power Electronics.

[14]  S. Nema,et al.  Matlab / simulink based study of photovoltaic cells / modules / array and their experimental verification , 2010 .

[15]  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.

[16]  C. Larbes,et al.  Maximum power point tracking using a fuzzy logic control scheme , 2007 .

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

[18]  M. Istrate,et al.  Modeling of maximum power point tracking algorithm for photovoltaic systems , 2012, 2012 International Conference and Exposition on Electrical and Power Engineering.

[19]  Geoffrey R. Walker,et al.  Evaluating MPPT Converter Topologies Using a Matlab PV Model , 2000 .