Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model

Tariq Limouni; Reda Yaagoubi; Khalid Bouziane; Khalid Guissi; El Houssain Baali

doi:10.1007/978-3-031-01942-5_60

Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model

Tariq Limouni
, Reda Yaagoubi
, Khalid Bouziane
, Khalid Guissi
, El Houssain Baali

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

Abstract

To face global warming and fossils fuels depletion, the use of renewable energy is becoming mandatory to satisfy the energy demand that increases further each year. For instance, photovoltaic systems are widely used thanks to their high performance and small cost. The photovoltaic (PV) systems can be connected to the grid for night supply or standalone systems with storage devices like batteries. To study and analyze the power produced by PV systems in different weather conditions, several mathematical models have been used in the MATLAB environment. In this paper, the modeling of each element of the photovoltaic system has been done including a PV module, a Boost Converter, a load, and a MPPT to operate the PV system in high efficiency in different weather conditions and scenarios. Moreover, the maximum power point tracking (MPPT) was investigated in this work using the Perturb and Observe (P&O) approach. The newly optimized P&O has been compared to an optimized P&O in several cases. The results show that our P&O protocol is very close to the optimized P&O for the solar irradiance variation scenario but more suitable and efficient for the load variation scenario.

Original language	English
Title of host publication	Digital Technologies and Applications - Proceedings of ICDTA 2022
Editors	Saad Motahhir, Badre Bossoufi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	603-612
Number of pages	10
ISBN (Print)	9783031019418
DOIs	https://doi.org/10.1007/978-3-031-01942-5_60
Publication status	Published - 2022
Externally published	Yes
Event	2nd International Conference on Digital Technologies and Applications, ICDTA 2022 - Fez, Morocco Duration: 28 Jan 2022 → 29 Jan 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	454 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	2nd International Conference on Digital Technologies and Applications, ICDTA 2022
Country/Territory	Morocco
City	Fez
Period	28/01/22 → 29/01/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

MATLAB/Simulink
Modeling
MPPT
P&O algorithm
Photovoltaic systems

Access to Document

10.1007/978-3-031-01942-5_60

Cite this

Limouni, T., Yaagoubi, R., Bouziane, K., Guissi, K., & Baali, E. H. (2022). Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model. In S. Motahhir, & B. Bossoufi (Eds.), Digital Technologies and Applications - Proceedings of ICDTA 2022 (pp. 603-612). (Lecture Notes in Networks and Systems; Vol. 454 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-01942-5_60

Limouni, Tariq ; Yaagoubi, Reda ; Bouziane, Khalid et al. / Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model. Digital Technologies and Applications - Proceedings of ICDTA 2022. editor / Saad Motahhir ; Badre Bossoufi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 603-612 (Lecture Notes in Networks and Systems).

@inproceedings{2f19dc174e534186a2e2fc67df5f7e51,

title = "Optimization of P\&O Algorithm for Load Variation Scenario Through PV System Physical Model",

abstract = "To face global warming and fossils fuels depletion, the use of renewable energy is becoming mandatory to satisfy the energy demand that increases further each year. For instance, photovoltaic systems are widely used thanks to their high performance and small cost. The photovoltaic (PV) systems can be connected to the grid for night supply or standalone systems with storage devices like batteries. To study and analyze the power produced by PV systems in different weather conditions, several mathematical models have been used in the MATLAB environment. In this paper, the modeling of each element of the photovoltaic system has been done including a PV module, a Boost Converter, a load, and a MPPT to operate the PV system in high efficiency in different weather conditions and scenarios. Moreover, the maximum power point tracking (MPPT) was investigated in this work using the Perturb and Observe (P\&O) approach. The newly optimized P\&O has been compared to an optimized P\&O in several cases. The results show that our P\&O protocol is very close to the optimized P\&O for the solar irradiance variation scenario but more suitable and efficient for the load variation scenario.",

keywords = "MATLAB/Simulink, Modeling, MPPT, P\&O algorithm, Photovoltaic systems",

author = "Tariq Limouni and Reda Yaagoubi and Khalid Bouziane and Khalid Guissi and Baali, \{El Houssain\}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 2nd International Conference on Digital Technologies and Applications, ICDTA 2022 ; Conference date: 28-01-2022 Through 29-01-2022",

year = "2022",

doi = "10.1007/978-3-031-01942-5\_60",

language = "English",

isbn = "9783031019418",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "603--612",

editor = "Saad Motahhir and Badre Bossoufi",

booktitle = "Digital Technologies and Applications - Proceedings of ICDTA 2022",

address = "Germany",

}

Limouni, T, Yaagoubi, R, Bouziane, K, Guissi, K & Baali, EH 2022, Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model. in S Motahhir & B Bossoufi (eds), Digital Technologies and Applications - Proceedings of ICDTA 2022. Lecture Notes in Networks and Systems, vol. 454 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 603-612, 2nd International Conference on Digital Technologies and Applications, ICDTA 2022, Fez, Morocco, 28/01/22. https://doi.org/10.1007/978-3-031-01942-5_60

Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model. / Limouni, Tariq; Yaagoubi, Reda; Bouziane, Khalid et al.
Digital Technologies and Applications - Proceedings of ICDTA 2022. ed. / Saad Motahhir; Badre Bossoufi. Springer Science and Business Media Deutschland GmbH, 2022. p. 603-612 (Lecture Notes in Networks and Systems; Vol. 454 LNNS).

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

TY - GEN

T1 - Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model

AU - Limouni, Tariq

AU - Yaagoubi, Reda

AU - Bouziane, Khalid

AU - Guissi, Khalid

AU - Baali, El Houssain

PY - 2022

Y1 - 2022

N2 - To face global warming and fossils fuels depletion, the use of renewable energy is becoming mandatory to satisfy the energy demand that increases further each year. For instance, photovoltaic systems are widely used thanks to their high performance and small cost. The photovoltaic (PV) systems can be connected to the grid for night supply or standalone systems with storage devices like batteries. To study and analyze the power produced by PV systems in different weather conditions, several mathematical models have been used in the MATLAB environment. In this paper, the modeling of each element of the photovoltaic system has been done including a PV module, a Boost Converter, a load, and a MPPT to operate the PV system in high efficiency in different weather conditions and scenarios. Moreover, the maximum power point tracking (MPPT) was investigated in this work using the Perturb and Observe (P&O) approach. The newly optimized P&O has been compared to an optimized P&O in several cases. The results show that our P&O protocol is very close to the optimized P&O for the solar irradiance variation scenario but more suitable and efficient for the load variation scenario.

AB - To face global warming and fossils fuels depletion, the use of renewable energy is becoming mandatory to satisfy the energy demand that increases further each year. For instance, photovoltaic systems are widely used thanks to their high performance and small cost. The photovoltaic (PV) systems can be connected to the grid for night supply or standalone systems with storage devices like batteries. To study and analyze the power produced by PV systems in different weather conditions, several mathematical models have been used in the MATLAB environment. In this paper, the modeling of each element of the photovoltaic system has been done including a PV module, a Boost Converter, a load, and a MPPT to operate the PV system in high efficiency in different weather conditions and scenarios. Moreover, the maximum power point tracking (MPPT) was investigated in this work using the Perturb and Observe (P&O) approach. The newly optimized P&O has been compared to an optimized P&O in several cases. The results show that our P&O protocol is very close to the optimized P&O for the solar irradiance variation scenario but more suitable and efficient for the load variation scenario.

KW - MATLAB/Simulink

KW - Modeling

KW - MPPT

KW - P&O algorithm

KW - Photovoltaic systems

UR - https://www.scopus.com/pages/publications/85130257903

U2 - 10.1007/978-3-031-01942-5_60

DO - 10.1007/978-3-031-01942-5_60

M3 - Conference contribution

AN - SCOPUS:85130257903

SN - 9783031019418

T3 - Lecture Notes in Networks and Systems

SP - 603

EP - 612

BT - Digital Technologies and Applications - Proceedings of ICDTA 2022

A2 - Motahhir, Saad

A2 - Bossoufi, Badre

PB - Springer Science and Business Media Deutschland GmbH

T2 - 2nd International Conference on Digital Technologies and Applications, ICDTA 2022

Y2 - 28 January 2022 through 29 January 2022

ER -

Limouni T, Yaagoubi R, Bouziane K, Guissi K, Baali EH. Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model. In Motahhir S, Bossoufi B, editors, Digital Technologies and Applications - Proceedings of ICDTA 2022. Springer Science and Business Media Deutschland GmbH. 2022. p. 603-612. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-01942-5_60

Optimization of P&O Algorithm for Load Variation Scenario Through PV System Physical Model

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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