Hybrid Maximum Power Point Tracking Algorithm With Improved Dynamic Performance

Project Code :TEMISI15

Abstract

Hybrid Maximum Power Point Tracking Algorithm With Improved Dynamic Performance.

Abstract:   

In light of the low efficiency of photovoltaic (PV) panels and varying environmental conditions, it is necessary to develop methods for maximum power extraction of PV panels in any environmental conditions. Here, a new hybrid method is proposed for maximum power point tracking (MPPT). The fuzzy logic control-based method is very fast and accurate but difficult  to implement. In addition, this method depends on PV arrays. The three-point weight method  is another MPPT method that does not compromise on the maximum power point under fast  transient conditions. The advantages of both methods are utilized in the proposed method.  Furthermore, the overall complexity is decreased by simplifying the fuzzy logic part.         

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Configuration:

Operating System :  Windows 7/8/10

Application Software :  Matlab/Simulink

Hardware Configuration:

RAM :  8 GB / 4 GB (Min)

Processor :  I3 / I5(Mostly prefer)

Learning Outcomes

  • Introduction to Matlab/Simulink
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • About tools & libraries
  • Application of Matlab/Simulink
  • About Matlab desktop
  • Features of Matlab/Simulink
  • Basics on Matlab/Simulink
  • Introduction to controllers.
  • Study of PWM techniques.
  • Project Development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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