Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm

Byron Valenzuela; Jorge Muñoz; Manuel Jaramillo; Carlos Barrera-Singaña; Wilson Pavón

doi:10.1109/GlobConHT56829.2023.10087762

Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm

Byron Valenzuela
, Jorge Muñoz
, Manuel Jaramillo
, Carlos Barrera-Singaña
, Wilson Pavón

Research Group in Smart Electrical Networks (GIREI)

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

3 Scopus citations

Abstract

The importance of access to water resources cannot be overstated, as it is vital for meeting the basic human needs, safeguarding public health, ensuring food production, and promoting sustainable socio-economic development. However, the agricultural sector faces a significant challenge in meeting its irrigation needs, as it heavily relies on energy sources. Therefore, environmentally sound technologies for water supply are urgently needed. Remote photovoltaic water pumping systems provide a promising alternative for fulfilling irrigation needs in rural areas. This paper presents a highly efficient model for a photovoltaic water pumping system that employs a maximum power point tracker (MPPT) with the P&O observation disturbance algorithm. The system's performance is simulated using MATLAB, and the results show that MPPT technology can greatly enhance the efficiency and performance of photovoltaic water pumping systems.

Original language	English
Title of host publication	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350332117
ISBN (Print)	9798350332117
DOIs	https://doi.org/10.1109/GlobConHT56829.2023.10087762
State	Published - 2023
Event	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives Duration: 11 Mar 2023 → 12 Mar 2023

Publication series

Name	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Conference

Conference	2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Country/Territory	Maldives
City	Male
Period	11/03/23 → 12/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

UN SDGs

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

SDG 2 Zero Hunger
SDG 3 Good Health and Well-being
SDG 7 Affordable and Clean Energy

Keywords

Irrigation
photovoltaic systems
renewable energy sources
solar energy
sustainable development
water pumps

CACES Knowledge Areas

317A Electricity and Energy

Access to Document

10.1109/GlobConHT56829.2023.10087762

Cite this

Valenzuela, B., Muñoz, J., Jaramillo, M., Barrera-Singaña, C., & Pavón, W. (2023). Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm. In 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobConHT56829.2023.10087762

Valenzuela, Byron ; Muñoz, Jorge ; Jaramillo, Manuel et al. / Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

@inproceedings{84485da2f10847a986ce5177f7d2789e,

title = "Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P\&O Perturbation Observation Algorithm",

abstract = "The importance of access to water resources cannot be overstated, as it is vital for meeting the basic human needs, safeguarding public health, ensuring food production, and promoting sustainable socio-economic development. However, the agricultural sector faces a significant challenge in meeting its irrigation needs, as it heavily relies on energy sources. Therefore, environmentally sound technologies for water supply are urgently needed. Remote photovoltaic water pumping systems provide a promising alternative for fulfilling irrigation needs in rural areas. This paper presents a highly efficient model for a photovoltaic water pumping system that employs a maximum power point tracker (MPPT) with the P\&O observation disturbance algorithm. The system's performance is simulated using MATLAB, and the results show that MPPT technology can greatly enhance the efficiency and performance of photovoltaic water pumping systems.",

keywords = "Irrigation, photovoltaic systems, renewable energy sources, solar energy, sustainable development, water pumps",

author = "Byron Valenzuela and Jorge Mu{\~n}oz and Manuel Jaramillo and Carlos Barrera-Singa{\~n}a and Wilson Pav{\'o}n",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 ; Conference date: 11-03-2023 Through 12-03-2023",

year = "2023",

doi = "10.1109/GlobConHT56829.2023.10087762",

language = "English",

isbn = "9798350332117",

series = "2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023",

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address = "United States",

}

Valenzuela, B, Muñoz, J , Jaramillo, M , Barrera-Singaña, C & Pavón, W 2023, Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm. in 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023, Male, Maldives, 11/03/23. https://doi.org/10.1109/GlobConHT56829.2023.10087762

Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm. / Valenzuela, Byron; Muñoz, Jorge ; Jaramillo, Manuel et al.
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023).

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

TY - GEN

T1 - Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm

AU - Valenzuela, Byron

AU - Muñoz, Jorge

AU - Jaramillo, Manuel

AU - Barrera-Singaña, Carlos

AU - Pavón, Wilson

PY - 2023

Y1 - 2023

N2 - The importance of access to water resources cannot be overstated, as it is vital for meeting the basic human needs, safeguarding public health, ensuring food production, and promoting sustainable socio-economic development. However, the agricultural sector faces a significant challenge in meeting its irrigation needs, as it heavily relies on energy sources. Therefore, environmentally sound technologies for water supply are urgently needed. Remote photovoltaic water pumping systems provide a promising alternative for fulfilling irrigation needs in rural areas. This paper presents a highly efficient model for a photovoltaic water pumping system that employs a maximum power point tracker (MPPT) with the P&O observation disturbance algorithm. The system's performance is simulated using MATLAB, and the results show that MPPT technology can greatly enhance the efficiency and performance of photovoltaic water pumping systems.

AB - The importance of access to water resources cannot be overstated, as it is vital for meeting the basic human needs, safeguarding public health, ensuring food production, and promoting sustainable socio-economic development. However, the agricultural sector faces a significant challenge in meeting its irrigation needs, as it heavily relies on energy sources. Therefore, environmentally sound technologies for water supply are urgently needed. Remote photovoltaic water pumping systems provide a promising alternative for fulfilling irrigation needs in rural areas. This paper presents a highly efficient model for a photovoltaic water pumping system that employs a maximum power point tracker (MPPT) with the P&O observation disturbance algorithm. The system's performance is simulated using MATLAB, and the results show that MPPT technology can greatly enhance the efficiency and performance of photovoltaic water pumping systems.

KW - Irrigation

KW - photovoltaic systems

KW - renewable energy sources

KW - solar energy

KW - sustainable development

KW - water pumps

UR - https://www.scopus.com/pages/publications/85153571971

U2 - 10.1109/GlobConHT56829.2023.10087762

DO - 10.1109/GlobConHT56829.2023.10087762

M3 - Conference contribution

AN - SCOPUS:85153571971

SN - 9798350332117

T3 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

BT - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Y2 - 11 March 2023 through 12 March 2023

ER -

Valenzuela B, Muñoz J , Jaramillo M , Barrera-Singaña C, Pavón W. Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm. In 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023). doi: 10.1109/GlobConHT56829.2023.10087762

Determination of the Maximum Power Point in Solar Photovoltaic Pumping Systems using P&O Perturbation Observation Algorithm

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

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Cite this