A <scp>MPPT</scp> based on optimized <scp>FLC</scp> using manta ray foraging optimization algorithm for thermo‐electric generation systems

International Journal of Energy ResearchVolume 45, Issue 9 p. 13897-13910 RESEARCH ARTICLE A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo-electric generation systems Mokhtar Aly, Mokhtar Aly orcid.org/0000-0002-9236-7840 Department of Electrical Engineering, Aswan University, Aswan, Egypt Electronics Engineering Department, Universidad Tecnica Federico Santa Maria, Valparaiso, ChileSearch for more papers by this authorHegazy Rezk, Corresponding Author Hegazy Rezk hr.hussien@psau.edu.sa orcid.org/0000-0001-9254-2744 College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, Saudi Arabia Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt Correspondence Hegazy Rezk, College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, 11991, Saudi Arabia. Email: hr.hussien@psau.edu.saSearch for more papers by this author Mokhtar Aly, Mokhtar Aly orcid.org/0000-0002-9236-7840 Department of Electrical Engineering, Aswan University, Aswan, Egypt Electronics Engineering Department, Universidad Tecnica Federico Santa Maria, Valparaiso, ChileSearch for more papers by this authorHegazy Rezk, Corresponding Author Hegazy Rezk hr.hussien@psau.edu.sa orcid.org/0000-0001-9254-2744 College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, Saudi Arabia Electrical Engineering Department, Faculty of Engineering, Minia University, Minia, Egypt Correspondence Hegazy Rezk, College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser, 11991, Saudi Arabia. Email: hr.hussien@psau.edu.saSearch for more papers by this author First published: 06 April 2021 https://doi.org/10.1002/er.6728Citations: 1 Funding information: Chilean Government, Grant/Award Numbers: ANID/Basal/FB0008, ANID/FONDAP15110019 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Summary The output power from thermoelectric generator (TEG) system is mainly dependent on the differential temperature between the hot side and cold side of TEG in addition to the load demand. Therefore, maximum power point tracking (MPPT) control is highly needed to continuously track the optimal operating point with changing the operating condition. In this research paper, a MPPT method based on optimized fuzzy logic control (FLC) is proposed. The proposed method utilizes the freedom and flexibilities from FLC systems to develop accurate and fast-tracking controller of maximum power point for TEG applications. The parameters of the optimized FLC have been identified using recent manta ray foraging optimization (MRFO) algorithm. During the proposed optimization process, the gains of the membership functions are used as decision variables, whereas the integral of the error is used as a cost function. Different scenarios of changing the difference temperature are used to prove the reliability of the optimized FLC. The obtained results by using the optimized FLC are compared with conventional FLC and the hill-climbing methods. The main findings confirm that the proposed design using combined features of MRFO and FLC presents a promising solution for MPPT in TEG systems. The proposed optimized FLC method achieves superior performance through minimizing the fluctuations in the output power at the various studied scenarios. Moreover, continuous tracking of the maximum power from TEG is achieved by the proposed optimized FLC method at different hot side and cold side temperatures in addition to output load variations. Open Research DATA AVAILABILITY STATEMENT The data that support the findings of this study are available from the corresponding author upon reasonable request. Citing Literature Volume45, Issue9July 2021Pages 13897-13910 RelatedInformation