Maximum power point tracking on stand-alone solar power system: Three-point-weighting method incorporating mid-point tracking

Abstract This paper proposes a three-point-weighting method that incorporates mid-point tracking to improve the drawback of the perturbation and observation method and to enhance the efficiency of the three-point-weighting method. A design was simulated with PSIM, followed by hardware tests of a stand-alone solar power system using real-time Matlab/Simulink hardware-in-the-loop, for observing the efficiency of the perturbation and observation method, the three-point-weighting method, and the proposed method. It was found that the proposed method tracked better than the three-point-weighting method, and it was capable of improving the deficiency of perturbation and observation method that has difficulty to track from the open-circuit voltage (on the right hand side of the P–V curve) as well as enhancing the precision of the three-point-weighting method in the case of zero-weight.

[1]  Yu Zhang,et al.  Comparison of P&O and hill climbing MPPT methods for grid-connected PV converter , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[2]  Tore Undeland,et al.  Power Electronics: Converters, Applications and Design , 1989 .

[3]  Fabrice Locment,et al.  Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems , 2013 .

[4]  Abraham Pressman,et al.  Switching Power Supply Design , 1997 .

[5]  Saad Mekhilef,et al.  Comparison study of maximum power point tracker techniques for PV systems , 2010 .

[6]  J. Nagaraju,et al.  An improved maximum power point tracker using a step-up converter with current locked loop , 1998 .

[7]  F. H. Fahmy,et al.  Developed Algorithm of Maximum Power Tracking for Stand-Alone Photovoltaic System , 1998 .

[8]  S. A. Farghal,et al.  Optimum Design of Stand Alone Solar Thermal Power System with Reliability Constraint , 1987, IEEE Transactions on Energy Conversion.

[9]  R. Ramaprabha,et al.  Maximum power point tracking of partially shaded solar PV system using modified Fibonacci search method with fuzzy controller , 2012 .

[10]  Ahmed M. Kassem,et al.  MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks , 2012 .

[11]  A. Midoun,et al.  Control of a DC/DC converter by fuzzy controller for a solar pumping system , 2011 .

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

[13]  Koosuke Harada,et al.  Controlled power interface between solar cells and AC source , 1993 .