Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137225
Title: A comparative study of flexible power point tracking algorithms in photovoltaic systems
Authors: Tafti, Hossein Dehghani
Konstantinou, Georgios
Townsend, Christopher D.
Farivar, Glen G.
Sangwongwanich, Ariya
Yang, Yongheng
Pou, Josep
Blaabjerg, Frede
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

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