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

doi:10.1109/IECON48115.2021.9589958

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

Electrical, Electronic and Computer Engineering

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

9 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 language	English
Title of host publication	IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781665435543
DOIs	https://doi.org/10.1109/IECON48115.2021.9589958
Publication status	Published - 13 Oct 2021
Event	47th Annual Conference of the IEEE Industrial Electronics Society - Toronto, Canada Duration: 13 Oct 2021 → 16 Oct 2021

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2021-October

Conference

Conference	47th Annual Conference of the IEEE Industrial Electronics Society
Abbreviated title	IECON 2021
Country/Territory	Canada
City	Toronto
Period	13/10/21 → 16/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/IECON48115.2021.9589958

Cite this

Kumaresan, A., Tafti, H. D., Farivar, G. G., Gorla, N. B. Y., Beniwal, N., & Pou, J. (2021). Flexible Power Point Tracking Algorithm for Photovoltaic Systems Using the Newton's Method. In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society (IECON Proceedings (Industrial Electronics Conference); Vol. 2021-October). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IECON48115.2021.9589958

@inproceedings{20bcfc6a157f4fafaa47f76f7268bbef,

title = "Flexible Power Point Tracking Algorithm for Photovoltaic Systems Using the Newton's Method",

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.",

keywords = "Active power control, flexible power point tracking, Newton's method, photovoltaic (PV) systems",

author = "Anusha Kumaresan and Tafti, \{Hossein Dehghani\} and Farivar, \{Glen G.\} and Gorla, \{Naga Brahmendra Yadav\} and Neha Beniwal and Josep Pou",

year = "2021",

month = oct,

day = "13",

doi = "10.1109/IECON48115.2021.9589958",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

booktitle = "IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society",

address = "United States",

note = "47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 ; Conference date: 13-10-2021 Through 16-10-2021",

}

Kumaresan, A, Tafti, HD, Farivar, GG, Gorla, NBY, Beniwal, N & Pou, J 2021, Flexible Power Point Tracking Algorithm for Photovoltaic Systems Using the Newton's Method. in IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2021-October, IEEE, Institute of Electrical and Electronics Engineers, 47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, Canada, 13/10/21. https://doi.org/10.1109/IECON48115.2021.9589958

Flexible Power Point Tracking Algorithm for Photovoltaic Systems Using the Newton's Method. / Kumaresan, Anusha; Tafti, Hossein Dehghani; Farivar, Glen G. et al.
IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, Institute of Electrical and Electronics Engineers, 2021. (IECON Proceedings (Industrial Electronics Conference); Vol. 2021-October).

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - Flexible Power Point Tracking Algorithm for Photovoltaic Systems Using the Newton's Method

AU - Kumaresan, Anusha

AU - Tafti, Hossein Dehghani

AU - Farivar, Glen G.

AU - Gorla, Naga Brahmendra Yadav

AU - Beniwal, Neha

AU - Pou, Josep

PY - 2021/10/13

Y1 - 2021/10/13

N2 - 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.

AB - 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.

KW - Active power control

KW - flexible power point tracking

KW - Newton's method

KW - photovoltaic (PV) systems

UR - https://www.scopus.com/pages/publications/85119487099

U2 - 10.1109/IECON48115.2021.9589958

DO - 10.1109/IECON48115.2021.9589958

M3 - Conference paper

AN - SCOPUS:85119487099

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 47th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 13 October 2021 through 16 October 2021

ER -

Kumaresan A, Tafti HD, Farivar GG, Gorla NBY, Beniwal N, Pou J. Flexible Power Point Tracking Algorithm for Photovoltaic Systems Using the Newton's Method. In IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, Institute of Electrical and Electronics Engineers. 2021. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON48115.2021.9589958

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

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