Comparative study of new MPPT control approaches for a photovoltaic system

The output characteristics of the photovoltaic (PV) installation normally depend on solar radiation and ambient temperature, the charge impedance, its maximum power point (MPP) is not constant. In each state of the PV module has a point where it can produce its MPP. Therefore, MPPT (Maximum Power Point Tracking) methods can be used to keep the photovoltaic panel running on its MPP. In this article, the objective was to determine how the different maximum point power monitoring (MPPT) techniques applied to PV systems work. Therefore, two MPPT algorithms are presented and compared under different temperature and radiation conditions: MRAC methods and sliding mode controller combined with the Incremental Conductivity (IC) algorithm. These algorithms are widely used in PV systems because of their easy implementation and low cost. These techniques were analyzed and their performance evaluated using the PSIM software under different types of solar radiation and temperature.

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

[2]  Christopher Edwards,et al.  Sliding mode output feedback controller design using linear matrix inequalities with application to aircraft systems , 2008, 2008 International Workshop on Variable Structure Systems.

[3]  Hao-Chi Chang,et al.  Sliding mode control on electro-mechanical systems , 1999 .

[4]  Carlos Andrés Ramos-Paja,et al.  Maximum power point tracking in PV systems based on adaptive control and sliding mode control , 2015 .

[5]  Manuel A. Duarte-Mermoud,et al.  Lyapunov functions for fractional order systems , 2014, Commun. Nonlinear Sci. Numer. Simul..

[6]  Said Drid,et al.  Second Order Sliding Mode Control of DC-DC converter used in the Photovoltaic System according an Adaptive MPPT , 2016, International Journal of Renewable Energy Research.

[7]  R. Anita,et al.  ROBUST MODEL REFERENCE ADAPTIVE PI CONTROL , 2010 .

[8]  Chengyu Cao,et al.  Design and Analysis of a Novel L1 Adaptive Controller, Part II: Guaranteed Transient Performance , 2006, 2006 American Control Conference.

[9]  Ahmed Haddou,et al.  Comparative study of adaptive controller using MIT rules and Lyapunov method for MPPT standalone PV systems , 2017 .

[10]  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.

[11]  Marcelo Gradella Villalva,et al.  Voltage regulation of photovoltaic arrays: small-signal analysis and control design , 2010 .

[12]  Moshiur Rahman Sourov A High Performance Maximum Power Point Tracker for Photovoltaic Power System Using DC-DC Boost Converter , 2012 .

[13]  C. K. Michael Tse,et al.  A unified approach to the design of PWM-based sliding-mode voltage controllers for basic DC-DC converters in continuous conduction mode , 2006, IEEE Transactions on Circuits and Systems I: Regular Papers.

[14]  A.Pradeep Kumar Yadav,et al.  Comparison of MPPT Algorithms for DC-DCConverters Based PV Systems , 2012 .

[15]  K. Furuta Sliding mode control of a discrete system , 1990 .

[16]  Farhan A. Salem,et al.  PID Controllers and Algorithms: Selection and Design Techniques Applied in Mechatronics Systems Design - Part II - TI Journals , 2013 .

[17]  H. Yau Design of adaptive sliding mode controller for chaos synchronization with uncertainties , 2004 .

[18]  L.A.C. Lopes,et al.  An improved perturbation and observation maximum power point tracking algorithm for PV arrays , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[19]  H. S. Bae,et al.  Current Control Design for a Grid Connected Photovoltaic/Fuel Cell DC-AC Inverter , 2009, 2009 Twenty-Fourth Annual IEEE Applied Power Electronics Conference and Exposition.

[20]  N. Tariba,et al.  Design and implementation an Adaptive Control for MPPT systems using Model Reference Adaptive Controller , 2016, 2016 International Renewable and Sustainable Energy Conference (IRSEC).