Modeling and Simulation of Hybrid Maximum Power Point Tracking for Solar Power System

Journal Title: Current Journal of Applied Science and Technology - Year 2017, Vol 22, Issue 3

Abstract

This paper presents, a Hybrid Maximum Power Point Tracking (HMPPT) controller for solar power system is modeled using MATLAB Simulink. The model consists of PV module, boost converter, and HMPPT controller and load. The proposed hybrid method is a maximum power coefficient (KP) and modified hill climbing MPPT method. The boost converter model is allowed the input voltage of the converter, i.e. output voltage of PV is changed by varying the duty cycle, so that the hybrid maximum power point could be tracked when the environmental changes. The increasing efficiency of the solar power system is important engineering task. From the experiment, the developed model comforms with the circuit model provided by MATLAB Simulink Power Simulation. The power system was simulated in single (autonomous) power system worked on own load with R=25, 50, 100 Ohm dependence Pout from duty cycle D. Existing methods of maximum power point tracking of such systems not always can to search surely for maximum power point if there are existing some local maximums of power. It can be if illumination of few non-oriented solar panels are different. Further, the simulation results show that the developed model performs well in tracking the hybrid maximum power point of the PV module using modified hill climbing (HC) Algorithm and maximum power coefficient (KP).

Authors and Affiliations

Ali Jasim, Yuri Shepetov

Keywords

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  • EP ID EP318910
  • DOI 10.9734/CJAST/2017/35100
  • Views 90
  • Downloads 0

How To Cite

Ali Jasim, Yuri Shepetov (2017). Modeling and Simulation of Hybrid Maximum Power Point Tracking for Solar Power System. Current Journal of Applied Science and Technology, 22(3), 1-10. https://europub.co.uk/articles/-A-318910