Research Article Open Access

DESIGN AND COMPARATIVE ANALYSIS OF DC-DC BOOST AND SINGLE-ENDED PRIMARY-INDUCTANCE CONVERTER CONVERTERS USING SOLAR POWERED MAXIMUM POWER POINT TRACKING ALGORITHMS

C. Thulasiyammal1 and S. Sutha2
  • 1 , India
  • 2 Anna University, India
American Journal of Applied Sciences
Volume 11 No. 7, 2014, 1113-1122

DOI: https://doi.org/10.3844/ajassp.2014.1113.1122

Published On: 24 April 2014

How to Cite: Thulasiyammal, C. & Sutha, S. (2014). DESIGN AND COMPARATIVE ANALYSIS OF DC-DC BOOST AND SINGLE-ENDED PRIMARY-INDUCTANCE CONVERTER CONVERTERS USING SOLAR POWERED MAXIMUM POWER POINT TRACKING ALGORITHMS. American Journal of Applied Sciences, 11(7), 1113-1122. https://doi.org/10.3844/ajassp.2014.1113.1122

Abstract

This study provides a comprehensive review of the Maximum Power Point Tracking (MPPT) techniques applied to Photovoltaic (PV) power system. Also this study presents a comparative study between three most fashionable techniques such as Incremental conductance (Inc) algorithm and Perturb and Observation (P&O) algorithm and fuzzy logic controller. These three techniques have been applied to converters such as Boost and SEPIC for analyzing the performance in various climatic conditions of PV. The analysis of each technique with converters has been carried out by using MATLAB/simulink software. From the results few comparisons has been made and found that the boost converter with Incremental conductance algorithmic technique offered best and optimum results when compared with other techniques. This PV system can supply the maximum power to the load at all times due to which the entire PV system operates with maximum efficiency and produces its maximum power.

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Keywords

  • Photovoltaic Array
  • Maximum Power Point Tracking (MPPT) Algorithms
  • P&O
  • INC
  • Fuzzy Logic Controller
  • Boost Converter and Sepic