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Comparative Study of Maximum Power Point Tracking Algorithms for Thermoelectric Generator

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Book cover Renewable Energy for Smart and Sustainable Cities (ICAIRES 2018)

Part of the book series: Lecture Notes in Networks and Systems ((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.

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Authors and Affiliations

  1. LDEE Laboratory, Electrical Engineering Department, USTO-MB University, Oran, Algeria

    Abdelkader Belboula & Ghalem Bachir

  2. LGEER Laboratory, Electrical Engineering Department, Hassiba Benbouali University, Chlef, Algeria

    Rachid Taleb & Fayçal Chabni

Authors
  1. Abdelkader Belboula
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  2. Rachid Taleb
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  3. Ghalem Bachir
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  4. Fayçal Chabni
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Corresponding author

Correspondence to Abdelkader Belboula .

Editor information

Editors and Affiliations

  1. EPST-CDER, Unité de Développement des Equipements Solaires, Bou-Ismail, Algeria

    Mustapha Hatti

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Belboula, A., Taleb, R., Bachir, G., Chabni, F. (2019). Comparative Study of Maximum Power Point Tracking Algorithms for Thermoelectric Generator. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_36

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