A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System

Thermoelectric generators (TEGs) are equipment for transforming thermal power into electricity via the Seebeck effect. These modules have gained increasing interest in research fields related to sustainable energy. The harvested energy is mostly reliant on the differential temperature between the ho...

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Autores principales:	Hegazy Rezk, Mohammed Mazen Alhato, Mujahed Al-Dhaifallah, Soufiene Bouallègue
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	sine cosine algorithm fractional PI<sup>λ</sup>D<sup>μ</sup> control thermoelectric generator MPPT Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/2db081ca2f1e4cec914d1ed7064efafd
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id	oai:doaj.org-article:2db081ca2f1e4cec914d1ed7064efafd
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spelling	oai:doaj.org-article:2db081ca2f1e4cec914d1ed7064efafd2021-11-11T19:23:47ZA Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System10.3390/su1321116502071-1050https://doaj.org/article/2db081ca2f1e4cec914d1ed7064efafd2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11650https://doaj.org/toc/2071-1050Thermoelectric generators (TEGs) are equipment for transforming thermal power into electricity via the Seebeck effect. These modules have gained increasing interest in research fields related to sustainable energy. The harvested energy is mostly reliant on the differential temperature between the hot and cold areas of the TEGs. Hence, a reliable maximum power point tracker is necessary to operate TEGs too close to their maximum power point (MPP) under an operational and climate variation. In this paper, an optimized fractional incremental resistance tracker (OF-INRT) is suggested to enhance the output performance of a TEG. The introduced tracker is based on the fractional-order PI<sup>λ</sup>D<sup>μ</sup> control concepts. The optimal parameters of the OF-INRT are determined using a population-based sine cosine algorithm (SCA). To confirm the optimality of the introduced SCA, experiments were conducted and the results compared with those of particle swarm optimization (PSO) and whale optimization algorithm (WOA) based techniques. The key goal of the suggested OF-INRT is to overcome the two main issues in conventional trackers, i.e., the slow dynamics of traditional incremental resistance trackers (INRT) and the high steady-state fluctuation around the MPP in the prevalent perturb and observe trackers (POTs). The main findings prove the superiority of the OF-INRT in comparison with the INRT and POT, for both dynamic and steady-state responses.Hegazy RezkMohammed Mazen AlhatoMujahed Al-DhaifallahSoufiene BouallègueMDPI AGarticlesine cosine algorithmfractional PI<sup>λ</sup>D<sup>μ</sup> controlthermoelectric generatorMPPTEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11650, p 11650 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	sine cosine algorithm fractional PI<sup>λ</sup>D<sup>μ</sup> control thermoelectric generator MPPT Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	sine cosine algorithm fractional PI<sup>λ</sup>D<sup>μ</sup> control thermoelectric generator MPPT Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Hegazy Rezk Mohammed Mazen Alhato Mujahed Al-Dhaifallah Soufiene Bouallègue A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System
description	Thermoelectric generators (TEGs) are equipment for transforming thermal power into electricity via the Seebeck effect. These modules have gained increasing interest in research fields related to sustainable energy. The harvested energy is mostly reliant on the differential temperature between the hot and cold areas of the TEGs. Hence, a reliable maximum power point tracker is necessary to operate TEGs too close to their maximum power point (MPP) under an operational and climate variation. In this paper, an optimized fractional incremental resistance tracker (OF-INRT) is suggested to enhance the output performance of a TEG. The introduced tracker is based on the fractional-order PI<sup>λ</sup>D<sup>μ</sup> control concepts. The optimal parameters of the OF-INRT are determined using a population-based sine cosine algorithm (SCA). To confirm the optimality of the introduced SCA, experiments were conducted and the results compared with those of particle swarm optimization (PSO) and whale optimization algorithm (WOA) based techniques. The key goal of the suggested OF-INRT is to overcome the two main issues in conventional trackers, i.e., the slow dynamics of traditional incremental resistance trackers (INRT) and the high steady-state fluctuation around the MPP in the prevalent perturb and observe trackers (POTs). The main findings prove the superiority of the OF-INRT in comparison with the INRT and POT, for both dynamic and steady-state responses.
format	article
author	Hegazy Rezk Mohammed Mazen Alhato Mujahed Al-Dhaifallah Soufiene Bouallègue
author_facet	Hegazy Rezk Mohammed Mazen Alhato Mujahed Al-Dhaifallah Soufiene Bouallègue
author_sort	Hegazy Rezk
title	A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System
title_short	A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System
title_full	A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System
title_fullStr	A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System
title_full_unstemmed	A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System
title_sort	sine cosine algorithm-based fractional mppt for thermoelectric generation system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2db081ca2f1e4cec914d1ed7064efafd
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A Sine Cosine Algorithm-Based Fractional MPPT for Thermoelectric Generation System

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