MPPT Controllers Based on Sliding-Mode Control Theory and Fuzzy Logic in Photovoltaic Power Systems: A Comparative Study

In this chapter we will deal with a comparative study between two control methods for maximum power point tracking (MPPT) algorithms in photovoltaic (PV) systems. The two MPPT controllers considered in this chapter are: the Fuzzy Logic Controller (FLC) and the Sliding Mode Controller (SMC). The MPPT controller based on the fuzzy-logic-algorithm uses directly the DC-DC converter duty cycle as a control variable and it provides a fast response and good performances against the climatic and load changes. The SMC exhibits a very fast response for tracking the maximum power point (MPP) for photovoltaic systems. The input parameters are the voltage and the current, the duty cycle is used to generate the optimal MPP under different operating conditions. Simulation results show that both algorithms can effectively perform the MPPT hence improving the efficiency of PV systems.

[1]  B. Bose,et al.  Global Warming: Energy, Environmental Pollution, and the Impact of Power Electronics , 2010, IEEE Industrial Electronics Magazine.

[2]  Bin Ran,et al.  MODELING DYNAMIC TRANSPORTATION NETWORKS , 1996 .

[3]  Il-Song Kim,et al.  Robust maximum power point tracker using sliding mode controller for the three-phase grid-connected photovoltaic system , 2007 .

[4]  E. Koutroulis,et al.  Design optimization of transformerless grid-connected PV inverters including reliability , 2012, 2012 Twenty-Seventh Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[5]  Xinghuo Yu,et al.  Hybrid Terminal Sliding-Mode Observer Design Method for a Permanent-Magnet Synchronous Motor Control System , 2009, IEEE Transactions on Industrial Electronics.

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

[7]  Rahul Rawat,et al.  Review of Maximum‐Power‐Point Tracking Techniques for Solar‐Photovoltaic Systems , 2013 .

[8]  M. Vitelli,et al.  Optimization of perturb and observe maximum power point tracking method , 2005, IEEE Transactions on Power Electronics.

[9]  Radhia Garraoui,et al.  MPPT controller for a photovoltaic power system based on fuzzy logic , 2013, 10th International Multi-Conferences on Systems, Signals & Devices 2013 (SSD13).

[10]  N. Ammasai Gounden,et al.  Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photovoltaic systems , 2009 .

[11]  Djamila Rekioua,et al.  Fuzzy logic control of stand-alone photovoltaic system with battery storage , 2009 .