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Comparative Study of Maximum Power Point Tracking Algorithms for Thermoelectric Generator

  • Abdelkader BelboulaEmail author
  • Rachid Taleb
  • Ghalem Bachir
  • Fayçal Chabni
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 62)

Abstract

Variations in load and temperature can cause a thermoelectric generator (TEG) to operate at a voltage that does not produce the maximum possible power for a given temperature difference. Therefore a maximum power point tracker (MPPT) is used to force the generator to a voltage that produces maximum power. This paper presents a comparative simulation study of two important MPPT algorithms specifically perturb and observe and incremental conductance. The Matlab Simulink environment is used to analyze and interpret the simulation results of these algorithms, and therefore show the performance and limitations of each algorithm. As a result, the Incremental conductance method has shown promise as a suitable MPPT algorithm for a TEG subjected to steady state conditions.

Keywords

Maximum power point tracking Thermoelectric generator TEG INC MPPT P&O MPPT 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Abdelkader Belboula
    • 1
    Email author
  • Rachid Taleb
    • 2
  • Ghalem Bachir
    • 1
  • Fayçal Chabni
    • 2
  1. 1.LDEE Laboratory, Electrical Engineering DepartmentUSTO-MB UniversityOranAlgeria
  2. 2.LGEER Laboratory, Electrical Engineering DepartmentHassiba Benbouali UniversityChlefAlgeria

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