Open AccessMPPT algorithm for thermoelectric generators based on parabolic extrapolation
Author(s) -
Bijukumar Bepinkumar,
Raam Arunadevi Ganesan Kaushik,
Ilango Ganesan Saravana,
Nagamani Chilakapati,
Reddy Maddikara Jaya Bharata
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.2007
Subject(s) - maximum power point tracking , extrapolation , control theory (sociology) , steady state (chemistry) , maximum power principle , controller (irrigation) , tracking (education) , parabolic partial differential equation , power (physics) , permanent magnet synchronous generator , mathematics , generator (circuit theory) , point (geometry) , thermoelectric generator , computer science , algorithm , thermoelectric effect , physics , mathematical analysis , partial differential equation , inverter , thermodynamics , pedagogy , chemistry , artificial intelligence , biology , psychology , geometry , control (management) , quantum mechanics , agronomy
In this study, a maximum power point tracking (MPPT) technique based on parabolic extrapolation has been presented for thermoelectric generator systems. Conventional MPPT methods require a closed‐loop controller and perturb and observe (P&O) method to provide fast‐tracking response. However, they produce power loss due to small oscillations in the steady state. The proposed method excludes the use of closed‐loop controller and steady‐state oscillations by directly estimating the coordinates of MPP using three random operating points on the parabolic P–I curve. To substantiate the effectiveness of the parabolic extrapolation‐based MPPT algorithm, different conditions of temperature gradient and load have been applied. The results demonstrate that the proposed algorithm takes <15% of the time taken by P&O method to track the MPP.