Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods

Thermoelectric generators (TEGs) are used for converting heat into electricity, environmentally friendly, without moving parts and with less complexity. One of the problems with TEG is that it has low efficiency and therefore it is necessary to harvest maximum power from them to ensure their optimum...

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Main Authors: Twaha, Ssennoga, Zhu, Jie, Yan, Yuying
Format: Conference or Workshop Item
Published: 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/44647/
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author Twaha, Ssennoga
Zhu, Jie
Yan, Yuying
author_facet Twaha, Ssennoga
Zhu, Jie
Yan, Yuying
author_sort Twaha, Ssennoga
building Nottingham Research Data Repository
collection Online Access
description Thermoelectric generators (TEGs) are used for converting heat into electricity, environmentally friendly, without moving parts and with less complexity. One of the problems with TEG is that it has low efficiency and therefore it is necessary to harvest maximum power from them to ensure their optimum utilization. Therefore, it is required to use the maximum power trackers (MPPTs) which for long time have demonstrated good performance in photovoltaic systems. The purpose of this work is to compare the performance of Extremum seeking control (ESC) algorithm with a classical incremental conductance (IC) method. Results indicate that ESC outperforms the IC technique in terms of extracting maximum power and the speed of computation. ESC method is faster than the IC method with simulation time of 152.1s and 781.8 s respectively. Moreover ESC is less complex in terms of model implementation than the IC method.
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format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
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spelling nottingham-446472020-05-04T18:55:46Z https://eprints.nottingham.ac.uk/44647/ Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods Twaha, Ssennoga Zhu, Jie Yan, Yuying Thermoelectric generators (TEGs) are used for converting heat into electricity, environmentally friendly, without moving parts and with less complexity. One of the problems with TEG is that it has low efficiency and therefore it is necessary to harvest maximum power from them to ensure their optimum utilization. Therefore, it is required to use the maximum power trackers (MPPTs) which for long time have demonstrated good performance in photovoltaic systems. The purpose of this work is to compare the performance of Extremum seeking control (ESC) algorithm with a classical incremental conductance (IC) method. Results indicate that ESC outperforms the IC technique in terms of extracting maximum power and the speed of computation. ESC method is faster than the IC method with simulation time of 152.1s and 781.8 s respectively. Moreover ESC is less complex in terms of model implementation than the IC method. 2017-07-17 Conference or Workshop Item PeerReviewed Twaha, Ssennoga, Zhu, Jie and Yan, Yuying (2017) Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods. In: 16th International Conference on Sustainable Energy Technologies (SET2017), 17-20 July, 2017, Bologna, Italy. Extremum seeking control; Incremental conductance; Thermoelectric generators; MPPT
spellingShingle Extremum seeking control; Incremental conductance; Thermoelectric generators; MPPT
Twaha, Ssennoga
Zhu, Jie
Yan, Yuying
Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods
title Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods
title_full Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods
title_fullStr Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods
title_full_unstemmed Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods
title_short Performance comparison of thermoelectric generators with Extremum seeking control and incremental conductance MPPT methods
title_sort performance comparison of thermoelectric generators with extremum seeking control and incremental conductance mppt methods
topic Extremum seeking control; Incremental conductance; Thermoelectric generators; MPPT
url https://eprints.nottingham.ac.uk/44647/