Algorithms for Maximum Power Point Tracking through Load Management

Kelvin Tan; Joseph A. Azzolini; William J. Parquette; Christian R. Polo; Meng Tao

doi:10.1109/PVSC43889.2021.9518908

Algorithms for Maximum Power Point Tracking through Load Management

Kelvin Tan, Joseph A. Azzolini, William J. Parquette, Christian R. Polo, Meng Tao

Engineering, Ira A. Fulton Schools of (IAFSE)

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

3 Scopus citations

Abstract

This paper presents the basic control algorithm and its improvements for a feedback-based load-matching PV system. Our previous load-matching system employed a photodetector for system control. Several practical challenges for the photodetector-based load-matching system have been identified. The feedback-based system eliminates those challenges and makes the system practical. The methods for improving the basic algorithm include monitoring PV power over time, a time delay between two power measurements, averaging multiple power measurements, and a power threshold before attempting a switch. They are implemented in SIMULINK for a system with six equal-resistance loads on both sunny and cloudy days and the optimal values for these parameters are identified. The algorithm with optimized parameters is verified in a real system on both sunny and cloudy days. These results prove the viability of maximum power point tracking through load management.

Original language	English (US)
Title of host publication	2021 IEEE 48th Photovoltaic Specialists Conference, PVSC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1773-1778
Number of pages	6
ISBN (Electronic)	9781665419222
DOIs	https://doi.org/10.1109/PVSC43889.2021.9518908
State	Published - Jun 20 2021
Event	48th IEEE Photovoltaic Specialists Conference, PVSC 2021 - Fort Lauderdale, United States Duration: Jun 20 2021 → Jun 25 2021

Publication series

Name	Conference Record of the IEEE Photovoltaic Specialists Conference
ISSN (Print)	0160-8371

Conference

Conference	48th IEEE Photovoltaic Specialists Conference, PVSC 2021
Country/Territory	United States
City	Fort Lauderdale
Period	6/20/21 → 6/25/21

Keywords

load management
load matching
maximum power point tracking
photovoltaic systems
power electronics

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/PVSC43889.2021.9518908

Cite this

Tan, K., Azzolini, J. A., Parquette, W. J., Polo, C. R., & Tao, M. (2021). Algorithms for Maximum Power Point Tracking through Load Management. In 2021 IEEE 48th Photovoltaic Specialists Conference, PVSC 2021 (pp. 1773-1778). (Conference Record of the IEEE Photovoltaic Specialists Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC43889.2021.9518908

Algorithms for Maximum Power Point Tracking through Load Management. / Tan, Kelvin; Azzolini, Joseph A.; Parquette, William J. et al.
2021 IEEE 48th Photovoltaic Specialists Conference, PVSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1773-1778 (Conference Record of the IEEE Photovoltaic Specialists Conference).

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

Tan, K, Azzolini, JA, Parquette, WJ, Polo, CR & Tao, M 2021, Algorithms for Maximum Power Point Tracking through Load Management. in 2021 IEEE 48th Photovoltaic Specialists Conference, PVSC 2021. Conference Record of the IEEE Photovoltaic Specialists Conference, Institute of Electrical and Electronics Engineers Inc., pp. 1773-1778, 48th IEEE Photovoltaic Specialists Conference, PVSC 2021, Fort Lauderdale, United States, 6/20/21. https://doi.org/10.1109/PVSC43889.2021.9518908

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title = "Algorithms for Maximum Power Point Tracking through Load Management",

abstract = "This paper presents the basic control algorithm and its improvements for a feedback-based load-matching PV system. Our previous load-matching system employed a photodetector for system control. Several practical challenges for the photodetector-based load-matching system have been identified. The feedback-based system eliminates those challenges and makes the system practical. The methods for improving the basic algorithm include monitoring PV power over time, a time delay between two power measurements, averaging multiple power measurements, and a power threshold before attempting a switch. They are implemented in SIMULINK for a system with six equal-resistance loads on both sunny and cloudy days and the optimal values for these parameters are identified. The algorithm with optimized parameters is verified in a real system on both sunny and cloudy days. These results prove the viability of maximum power point tracking through load management. ",

keywords = "load management, load matching, maximum power point tracking, photovoltaic systems, power electronics",

author = "Kelvin Tan and Azzolini, {Joseph A.} and Parquette, {William J.} and Polo, {Christian R.} and Meng Tao",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 48th IEEE Photovoltaic Specialists Conference, PVSC 2021 ; Conference date: 20-06-2021 Through 25-06-2021",

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AB - This paper presents the basic control algorithm and its improvements for a feedback-based load-matching PV system. Our previous load-matching system employed a photodetector for system control. Several practical challenges for the photodetector-based load-matching system have been identified. The feedback-based system eliminates those challenges and makes the system practical. The methods for improving the basic algorithm include monitoring PV power over time, a time delay between two power measurements, averaging multiple power measurements, and a power threshold before attempting a switch. They are implemented in SIMULINK for a system with six equal-resistance loads on both sunny and cloudy days and the optimal values for these parameters are identified. The algorithm with optimized parameters is verified in a real system on both sunny and cloudy days. These results prove the viability of maximum power point tracking through load management.

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KW - power electronics

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Algorithms for Maximum Power Point Tracking through Load Management

Abstract

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Keywords

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