Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules

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

doi:10.1109/SPEC55080.2022.10058459

Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules

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

3 Citations (Scopus)

Abstract

Power grids with increased penetration of photo-voltaic (PV) systems face difficulties such as power quality issues, poor system inertia and voltage fluctuations. Hence, the development of flexible power point tracking (FPPT) algorithms, which controls the PV power output rather than the conventional method of extracting the maximum power, was motivated by the necessity to address these issues. Many FPPT algorithms have been presented in the literature for operation during uniform irradiance condition of the PV modules. Each algorithm has distinct benefits and drawbacks and under a particular circumstances, one algorithm may be preferable to another. This study examines the performance of various FPPT algorithms operating with normal and degraded PV modules. Simulation tests in MATLAB/Simulink and experimental results are taken to study their performances. A detailed comparison based on the algorithm's resilience, convergence rate, complexity, and the ease in obtaining the initial data is then presented.

Original language	English
Title of host publication	2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9798350399882
DOIs	https://doi.org/10.1109/SPEC55080.2022.10058459
Publication status	Published - 2022
Event	7th IEEE Southern Power Electronics Conference, SPEC 2022 - Nadi, Fiji Duration: 5 Dec 2022 → 8 Dec 2022

Publication series

Name	2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022

Conference

Conference	7th IEEE Southern Power Electronics Conference, SPEC 2022
Country/Territory	Fiji
City	Nadi
Period	5/12/22 → 8/12/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/SPEC55080.2022.10058459

Cite this

Kumaresan, A., Tafti, H. D., Farivar, G. G., Yadav Gorla, N. B., Beniwal, N., & Pou, J. (2022). Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules. In 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022 (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SPEC55080.2022.10058459

Kumaresan, Anusha ; Tafti, Hossein Dehghani ; Farivar, Glen G. et al. / Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules. 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. USA : IEEE, Institute of Electrical and Electronics Engineers, 2022. (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022).

@inproceedings{77050b74162045e2b87a61d45db774c2,

title = "Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules",

abstract = "Power grids with increased penetration of photo-voltaic (PV) systems face difficulties such as power quality issues, poor system inertia and voltage fluctuations. Hence, the development of flexible power point tracking (FPPT) algorithms, which controls the PV power output rather than the conventional method of extracting the maximum power, was motivated by the necessity to address these issues. Many FPPT algorithms have been presented in the literature for operation during uniform irradiance condition of the PV modules. Each algorithm has distinct benefits and drawbacks and under a particular circumstances, one algorithm may be preferable to another. This study examines the performance of various FPPT algorithms operating with normal and degraded PV modules. Simulation tests in MATLAB/Simulink and experimental results are taken to study their performances. A detailed comparison based on the algorithm's resilience, convergence rate, complexity, and the ease in obtaining the initial data is then presented.",

keywords = "Active power control, binary search algorithm, newton's algorithm, perturb and observe, photovoltaic (PV) systems, secant algorithm",

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

note = "Funding Information: This work was supported by the National Research Foundation of Singapore under {"}Distributed Energy Resource Management Systems (DERMS) for Energy Grid 2.0{"} project. This work was also supported by the Office of Naval Research U.S. under DUNS Code: 595886219. Publisher Copyright: {\textcopyright} 2022 IEEE.; 7th IEEE Southern Power Electronics Conference, SPEC 2022 ; Conference date: 05-12-2022 Through 08-12-2022",

year = "2022",

doi = "10.1109/SPEC55080.2022.10058459",

language = "English",

series = "2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022",

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

booktitle = "2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022",

address = "United States",

}

Kumaresan, A, Tafti, HD, Farivar, GG, Yadav Gorla, NB, Beniwal, N & Pou, J 2022, Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules. in 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022, IEEE, Institute of Electrical and Electronics Engineers, USA, 7th IEEE Southern Power Electronics Conference, SPEC 2022, Nadi, Fiji, 5/12/22. https://doi.org/10.1109/SPEC55080.2022.10058459

Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules. / Kumaresan, Anusha; Tafti, Hossein Dehghani; Farivar, Glen G. et al.
2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. USA: IEEE, Institute of Electrical and Electronics Engineers, 2022. (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022).

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

TY - GEN

T1 - Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules

AU - Kumaresan, Anusha

AU - Tafti, Hossein Dehghani

AU - Farivar, Glen G.

AU - Yadav Gorla, Naga Brahmendra

AU - Beniwal, Neha

AU - Pou, Josep

N1 - Funding Information: This work was supported by the National Research Foundation of Singapore under "Distributed Energy Resource Management Systems (DERMS) for Energy Grid 2.0" project. This work was also supported by the Office of Naval Research U.S. under DUNS Code: 595886219. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

N2 - Power grids with increased penetration of photo-voltaic (PV) systems face difficulties such as power quality issues, poor system inertia and voltage fluctuations. Hence, the development of flexible power point tracking (FPPT) algorithms, which controls the PV power output rather than the conventional method of extracting the maximum power, was motivated by the necessity to address these issues. Many FPPT algorithms have been presented in the literature for operation during uniform irradiance condition of the PV modules. Each algorithm has distinct benefits and drawbacks and under a particular circumstances, one algorithm may be preferable to another. This study examines the performance of various FPPT algorithms operating with normal and degraded PV modules. Simulation tests in MATLAB/Simulink and experimental results are taken to study their performances. A detailed comparison based on the algorithm's resilience, convergence rate, complexity, and the ease in obtaining the initial data is then presented.

AB - Power grids with increased penetration of photo-voltaic (PV) systems face difficulties such as power quality issues, poor system inertia and voltage fluctuations. Hence, the development of flexible power point tracking (FPPT) algorithms, which controls the PV power output rather than the conventional method of extracting the maximum power, was motivated by the necessity to address these issues. Many FPPT algorithms have been presented in the literature for operation during uniform irradiance condition of the PV modules. Each algorithm has distinct benefits and drawbacks and under a particular circumstances, one algorithm may be preferable to another. This study examines the performance of various FPPT algorithms operating with normal and degraded PV modules. Simulation tests in MATLAB/Simulink and experimental results are taken to study their performances. A detailed comparison based on the algorithm's resilience, convergence rate, complexity, and the ease in obtaining the initial data is then presented.

KW - Active power control

KW - binary search algorithm

KW - newton's algorithm

KW - perturb and observe

KW - photovoltaic (PV) systems

KW - secant algorithm

UR - https://www.scopus.com/pages/publications/85150415861

U2 - 10.1109/SPEC55080.2022.10058459

DO - 10.1109/SPEC55080.2022.10058459

M3 - Conference paper

AN - SCOPUS:85150415861

T3 - 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022

BT - 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - 7th IEEE Southern Power Electronics Conference, SPEC 2022

Y2 - 5 December 2022 through 8 December 2022

ER -

Kumaresan A, Tafti HD, Farivar GG, Yadav Gorla NB, Beniwal N, Pou J. Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules. In 2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022. USA: IEEE, Institute of Electrical and Electronics Engineers. 2022. (2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022). doi: 10.1109/SPEC55080.2022.10058459

Performance Comparison of Flexible Power Point Tracking Algorithms on Normal and Degraded Photovolatic Modules

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this