Flexible Power Generation Based on Model Predictive Control for PV Systems

Mohamed Abdelrahem; Mostafa Ahmed; Ibrahim Harbi; Ralph Kennel; Jose Rodriguez

doi:10.1109/MEPCON58725.2023.10462415

Flexible Power Generation Based on Model Predictive Control for PV Systems

Mohamed Abdelrahem^*, Mostafa Ahmed, Ibrahim Harbi, Ralph Kennel, Jose Rodriguez

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

This paper proposes a flexible power generation scheme based on model predictive control (MPC). The proposed method combines maximum power point tracking (MPPT) operation with constant power generation (CPG), where the maximum power is extracted from the photovoltaic (PV) system. However, if the extracted power exceeds a certain threshold, the power generation will then be limited. A modified version of the perturb and observe (P&O) method is proposed to enhance the efficiency of the PV system. After that, the reference generated will be sent to the MPC loop, which decides the optimal switching state according to the cost function design. Different operating conditions confirm the superiority of the suggested technique, while comparison with the conventional method highlights the main benefits.

Idioma original	Inglés
Título de la publicación alojada	2023 24th International Middle East Power System Conference, MEPCON 2023
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798350358469
DOI	https://doi.org/10.1109/MEPCON58725.2023.10462415
Estado	Publicada - 2023
Evento	24th International Middle East Power System Conference, MEPCON 2023 - Mansoura, Egipto Duración: 2023 → 2023

Serie de la publicación

Nombre	2023 24th International Middle East Power System Conference, MEPCON 2023

Conferencia

Conferencia	24th International Middle East Power System Conference, MEPCON 2023
País/Territorio	Egipto
Ciudad	Mansoura
Período	19/12/23 → 21/12/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

Áreas temáticas de ASJC Scopus

Inteligencia artificial
Ingeniería energética y tecnologías de la energía
Ingeniería eléctrica y electrónica
Ingeniería mecánica
Seguridad, riesgos, fiabilidad y calidad
Control y optimización

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/MEPCON58725.2023.10462415

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Abdelrahem, M., Ahmed, M., Harbi, I., Kennel, R., & Rodriguez, J. (2023). Flexible Power Generation Based on Model Predictive Control for PV Systems. En 2023 24th International Middle East Power System Conference, MEPCON 2023 (2023 24th International Middle East Power System Conference, MEPCON 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEPCON58725.2023.10462415

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title = "Flexible Power Generation Based on Model Predictive Control for PV Systems",

abstract = "This paper proposes a flexible power generation scheme based on model predictive control (MPC). The proposed method combines maximum power point tracking (MPPT) operation with constant power generation (CPG), where the maximum power is extracted from the photovoltaic (PV) system. However, if the extracted power exceeds a certain threshold, the power generation will then be limited. A modified version of the perturb and observe (P&O) method is proposed to enhance the efficiency of the PV system. After that, the reference generated will be sent to the MPC loop, which decides the optimal switching state according to the cost function design. Different operating conditions confirm the superiority of the suggested technique, while comparison with the conventional method highlights the main benefits.",

keywords = "CPG, MPC, MPPT, PV system",

author = "Mohamed Abdelrahem and Mostafa Ahmed and Ibrahim Harbi and Ralph Kennel and Jose Rodriguez",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 24th International Middle East Power System Conference, MEPCON 2023 ; Conference date: 19-12-2023 Through 21-12-2023",

year = "2023",

doi = "10.1109/MEPCON58725.2023.10462415",

language = "English",

series = "2023 24th International Middle East Power System Conference, MEPCON 2023",

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

booktitle = "2023 24th International Middle East Power System Conference, MEPCON 2023",

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Abdelrahem, M, Ahmed, M, Harbi, I, Kennel, R & Rodriguez, J 2023, Flexible Power Generation Based on Model Predictive Control for PV Systems. En 2023 24th International Middle East Power System Conference, MEPCON 2023. 2023 24th International Middle East Power System Conference, MEPCON 2023, Institute of Electrical and Electronics Engineers Inc., 24th International Middle East Power System Conference, MEPCON 2023, Mansoura, Egipto, 19/12/23. https://doi.org/10.1109/MEPCON58725.2023.10462415

Flexible Power Generation Based on Model Predictive Control for PV Systems. / Abdelrahem, Mohamed; Ahmed, Mostafa; Harbi, Ibrahim et al.
2023 24th International Middle East Power System Conference, MEPCON 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 24th International Middle East Power System Conference, MEPCON 2023).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Flexible Power Generation Based on Model Predictive Control for PV Systems

AU - Abdelrahem, Mohamed

AU - Ahmed, Mostafa

AU - Harbi, Ibrahim

AU - Kennel, Ralph

AU - Rodriguez, Jose

PY - 2023

Y1 - 2023

N2 - This paper proposes a flexible power generation scheme based on model predictive control (MPC). The proposed method combines maximum power point tracking (MPPT) operation with constant power generation (CPG), where the maximum power is extracted from the photovoltaic (PV) system. However, if the extracted power exceeds a certain threshold, the power generation will then be limited. A modified version of the perturb and observe (P&O) method is proposed to enhance the efficiency of the PV system. After that, the reference generated will be sent to the MPC loop, which decides the optimal switching state according to the cost function design. Different operating conditions confirm the superiority of the suggested technique, while comparison with the conventional method highlights the main benefits.

AB - This paper proposes a flexible power generation scheme based on model predictive control (MPC). The proposed method combines maximum power point tracking (MPPT) operation with constant power generation (CPG), where the maximum power is extracted from the photovoltaic (PV) system. However, if the extracted power exceeds a certain threshold, the power generation will then be limited. A modified version of the perturb and observe (P&O) method is proposed to enhance the efficiency of the PV system. After that, the reference generated will be sent to the MPC loop, which decides the optimal switching state according to the cost function design. Different operating conditions confirm the superiority of the suggested technique, while comparison with the conventional method highlights the main benefits.

KW - CPG

KW - MPC

KW - MPPT

KW - PV system

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U2 - 10.1109/MEPCON58725.2023.10462415

DO - 10.1109/MEPCON58725.2023.10462415

M3 - Conference contribution

AN - SCOPUS:85190369601

T3 - 2023 24th International Middle East Power System Conference, MEPCON 2023

BT - 2023 24th International Middle East Power System Conference, MEPCON 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th International Middle East Power System Conference, MEPCON 2023

Y2 - 19 December 2023 through 21 December 2023

ER -

Abdelrahem M, Ahmed M, Harbi I, Kennel R, Rodriguez J. Flexible Power Generation Based on Model Predictive Control for PV Systems. En 2023 24th International Middle East Power System Conference, MEPCON 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 24th International Middle East Power System Conference, MEPCON 2023). doi: 10.1109/MEPCON58725.2023.10462415

Flexible Power Generation Based on Model Predictive Control for PV Systems

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Áreas temáticas de ASJC Scopus

ODS de las Naciones Unidas

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