Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms

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

doi:10.1109/ECCE50734.2022.9948026

Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Global maximum power point tracking (GMPPT) algorithms are employed to extract the maximum available power from the photovoltaic (PV) arrays during partial shading conditions. However, the available GMPPT algorithms in the literature have disadvantages such as low convergence rate and requirement to scan for the local peaks. To overcome these drawbacks, this paper presents a fast and simple hybrid GMPPT algorithm, which combines the advantages of the binary search and the secant algorithms. The binary search algorithm is used for the global maximum power point (GMPP) reference generation and the secant algorithm is applied for tracking the generated power reference. The superlinear convergence rate of the secant algorithm and the logarithmic convergence rate of the binary search algorithm aid in fast convergence to the GMPP. The performance of the proposed hybrid GMPPT algorithm is validated through simulations in MATLAB-Simulink and also compared with a conventional GMPPT algorithm.

Original language	English
Title of host publication	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193878
DOIs	https://doi.org/10.1109/ECCE50734.2022.9948026
Publication status	Published - 2022
Externally published	Yes
Event	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: Oct 9 2022 → Oct 13 2022

Publication series

Name	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/Territory	United States
City	Detroit
Period	10/9/22 → 10/13/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus Subject Areas

Electrical and Electronic Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

Keywords

Active power control
binary search algorithm
maximum power point tracking
photovoltaic (PV) systems
secant algorithm

UN SDGs

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

Access to Document

10.1109/ECCE50734.2022.9948026

Cite this

Kumaresan, A., Farivar, G. G., Tafti, H. D., Beniwal, N., Gorla, N. B. Y., & Pou, J. (2022). Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE50734.2022.9948026

Kumaresan, Anusha ; Farivar, Glen G. ; Tafti, Hossein Dehghani et al. / Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

@inproceedings{c04b712c310645e2aa1e7b1c77f9fa82,

title = "Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms",

abstract = "Global maximum power point tracking (GMPPT) algorithms are employed to extract the maximum available power from the photovoltaic (PV) arrays during partial shading conditions. However, the available GMPPT algorithms in the literature have disadvantages such as low convergence rate and requirement to scan for the local peaks. To overcome these drawbacks, this paper presents a fast and simple hybrid GMPPT algorithm, which combines the advantages of the binary search and the secant algorithms. The binary search algorithm is used for the global maximum power point (GMPP) reference generation and the secant algorithm is applied for tracking the generated power reference. The superlinear convergence rate of the secant algorithm and the logarithmic convergence rate of the binary search algorithm aid in fast convergence to the GMPP. The performance of the proposed hybrid GMPPT algorithm is validated through simulations in MATLAB-Simulink and also compared with a conventional GMPPT algorithm.",

keywords = "Active power control, binary search algorithm, maximum power point tracking, photovoltaic (PV) systems, secant algorithm",

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

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 ; Conference date: 09-10-2022 Through 13-10-2022",

year = "2022",

doi = "10.1109/ECCE50734.2022.9948026",

language = "English",

series = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022",

address = "United States",

}

Kumaresan, A, Farivar, GG, Tafti, HD, Beniwal, N, Gorla, NBY & Pou, J 2022, Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms. in 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Detroit, United States, 10/9/22. https://doi.org/10.1109/ECCE50734.2022.9948026

Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms. / Kumaresan, Anusha; Farivar, Glen G.; Tafti, Hossein Dehghani et al.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms

AU - Kumaresan, Anusha

AU - Farivar, Glen G.

AU - Tafti, Hossein Dehghani

AU - Beniwal, Neha

AU - Gorla, Naga Brahmendra Yadav

AU - Pou, Josep

PY - 2022

Y1 - 2022

N2 - Global maximum power point tracking (GMPPT) algorithms are employed to extract the maximum available power from the photovoltaic (PV) arrays during partial shading conditions. However, the available GMPPT algorithms in the literature have disadvantages such as low convergence rate and requirement to scan for the local peaks. To overcome these drawbacks, this paper presents a fast and simple hybrid GMPPT algorithm, which combines the advantages of the binary search and the secant algorithms. The binary search algorithm is used for the global maximum power point (GMPP) reference generation and the secant algorithm is applied for tracking the generated power reference. The superlinear convergence rate of the secant algorithm and the logarithmic convergence rate of the binary search algorithm aid in fast convergence to the GMPP. The performance of the proposed hybrid GMPPT algorithm is validated through simulations in MATLAB-Simulink and also compared with a conventional GMPPT algorithm.

AB - Global maximum power point tracking (GMPPT) algorithms are employed to extract the maximum available power from the photovoltaic (PV) arrays during partial shading conditions. However, the available GMPPT algorithms in the literature have disadvantages such as low convergence rate and requirement to scan for the local peaks. To overcome these drawbacks, this paper presents a fast and simple hybrid GMPPT algorithm, which combines the advantages of the binary search and the secant algorithms. The binary search algorithm is used for the global maximum power point (GMPP) reference generation and the secant algorithm is applied for tracking the generated power reference. The superlinear convergence rate of the secant algorithm and the logarithmic convergence rate of the binary search algorithm aid in fast convergence to the GMPP. The performance of the proposed hybrid GMPPT algorithm is validated through simulations in MATLAB-Simulink and also compared with a conventional GMPPT algorithm.

KW - Active power control

KW - binary search algorithm

KW - maximum power point tracking

KW - photovoltaic (PV) systems

KW - secant algorithm

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M3 - Conference contribution

AN - SCOPUS:85144047424

T3 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Y2 - 9 October 2022 through 13 October 2022

ER -

Kumaresan A, Farivar GG, Tafti HD, Beniwal N, Gorla NBY, Pou J. Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). doi: 10.1109/ECCE50734.2022.9948026

Global Maximum Power Point Tracking for Photovoltaic Systems Using Hybrid Secant and Binary Search Algorithms

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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Cite this