Flexible Power Point Tracking Algorithm for Photovoltaic Systems Using the Newton's Method

Anusha Kumaresan, Hossein Dehghani Tafti, Glen G. Farivar, Naga Brahmendra Yadav Gorla, Neha Beniwal, Josep Pou

Research output: Chapter in Book/Conference paperConference paperpeer-review

2 Citations (Scopus)

Abstract

Photovoltaic (PV) grid support functionality (frequency support) can be accomplished with the aid of flexible power point tracking (FPPT) technology. However, the convergence rate of FPPT algorithms needs to be fast, to provide grid support under transients. To fulfil this purpose, a Newton's method-based (NM-B) FPPT algorithm is proposed in this paper that offers quadratic convergence, which is a higher convergence rate compared to the existing methods. Moreover, the search algorithm requires only a single initialization point, thus eliminating the difficulty of setting up the search boundary as in the case of the binary search-based and secant method-based (SM-B) FPPT algorithms. Simulation validation is performed for the proposed NM-B FPPT algorithm and the results are compared with the SM-B FPPT algorithm.

Original languageEnglish
Title of host publicationIECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781665435543
DOIs
Publication statusPublished - 13 Oct 2021
Event47th Annual Conference of the IEEE Industrial Electronics Society - Toronto, Canada
Duration: 13 Oct 202116 Oct 2021

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2021-October

Conference

Conference47th Annual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON 2021
Country/TerritoryCanada
CityToronto
Period13/10/2116/10/21

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