Please use this identifier to cite or link to this item:
|Title:||A comparative study of flexible power point tracking algorithms in photovoltaic systems||Authors:||Tafti, Hossein Dehghani
Townsend, Christopher D.
Farivar, Glen G.
|Keywords:||Engineering::Electrical and electronic engineering||Issue Date:||2019||Source:||Tafti, H. D., Konstantinou, G., Townsend, C. D., Farivar, G. G., Sangwongwanich, A., Yang, Y., ... Blaabjerg, F. (2019). A comparative study of flexible power point tracking algorithms in photovoltaic systems. 2019 IEEE 4th International Future Energy Electronics Conference (IFEEC), Singapore, pp. 1-6. doi:10.1109/IFEEC47410.2019.9015107||Abstract:||The ever-increasing penetration of photovoltaic power plants (PVPPs) in the power system and the need for voltage control and frequency support services impose new requirements on PVPPs, extending the functionalities of existing maximum power point tracking (MPPT) algorithms. Accordingly, a considerable number of flexible power point tracking (FPPT) algorithms are introduced in the literature. The aim of such algorithms is to regulate the PV power to a specific value rather than continuously track the maximum power point. This power reference value is calculated based on the operation condition and grid requirements. This paper provides a short description of several available FPPT algorithms in the literature, and studies various features of each algorithm. The dynamic performance of the investigated algorithms is compared using experimental tests on a scaled-down prototype. The comparison reveals that the FPPT algorithms with direct calculation of the voltage reference, which corresponds to the required power reference, provide better performance in all aspects.||URI:||https://hdl.handle.net/10356/137225||ISBN:||978-1-7281-3153-5||DOI:||10.1109/IFEEC47410.2019.9015107||Rights:||© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/IFEEC47410.2019.9015107||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Conference Papers|
Updated on May 20, 2022
Updated on May 20, 2022
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.